Solar water heating system capable of improving solar energy utilization rate

Abstract

The invention discloses a solar water heating system capable of improving the solar energy utilization rate, and relates to the technical field of solar energy utilization. When water in all parallel pipelines is in a circulation period, water temperature, water inlet temperature, environment temperature and pipeline water pressure data in all the parallel pipelines are collected in real time through a temperature sensor and a pressure sensor; the method comprises the following steps of: calculating a heat loss amount through a heat loss model, determining an optimal water flow channel and an optimal valve opening degree in combination with a shunting decision algorithm, finally regulating and controlling the calculated valve opening degree, monitoring core data in real time in a regulating and controlling process, and judging a circulation effect according to a monitoring result. According to the scheme, the waste heat of the high-temperature pipeline is preferentially recovered through the intelligent flow dividing technology, the pipeline with the good effect is preferentially adopted to prevent temperature loss, the heat loss is dynamically reduced through the environment adaptation strategy, the waste heat recovery rate and the solar energy utilization rate are improved, the heat loss is reduced, and the problems of uneven water temperature and energy consumption waste under the multi-pipeline parallel connection scene are effectively solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of solar energy utilization, in particular to a solar water heating system for improving solar energy utilization rate. BACKGROUND

[0002] In the existing solar water heating system, multiple pipelines are usually arranged in parallel or connected at the bottom. However, due to individual differences in water circulation path, exposure environment and insulation condition of each pipeline, the water temperature in the pipelines is inconsistent, resulting in a contradiction between waste of residual heat in high-temperature pipelines and insufficient heat absorption in low-temperature pipelines.

[0003] The prior art such as the solar water heating system for improving solar energy utilization rate disclosed in the patent application with the publication number CN112178951B comprises a base, a toothed disc rotatingly arranged on the base, a support fixedly arranged on the toothed disc, a heat collecting pipe group fixedly arranged at two ends of the support, a reflecting plate rotatingly arranged at one end of the support, a driving device for driving the reflecting plate to rotate, a flushing device for cleaning the heat collecting pipe group and the reflecting plate, a sewage collecting device fixedly arranged on the toothed disc, a first gear engaged with the toothed disc, and a first motor for driving the first gear to rotate. The application makes the solar energy better act on the heat collecting pipe through cleaning of the heat collecting pipe, improves the solar energy utilization rate, and further improves the solar energy utilization rate by rotating the direction of the heat collecting pipe to increase the light exposure time of the heat collecting pipe.

[0004] It can be seen from the above solution that the traditional system lacks real-time monitoring and differential control of the water temperature of each pipeline, the water flow direction is random and the flow rate is fixed, the temperature difference of the pipelines cannot be used to preferentially absorb the residual heat of the high-temperature pipelines, the temperature circulation utilization effect of different pipelines is not considered, the pipelines with good effect are not preferentially used to prevent temperature loss, the adaptability of the environmental temperature and the pipeline water temperature is poor, further heat loss is caused, and finally the solar energy utilization rate is low and energy is wasted seriously. SUMMARY

[0005] In view of the above technical problems, the present application aims to provide a solar water heating system for improving solar energy utilization rate.

[0006] To solve the above technical problems, the present application adopts the following technical solution: the present application provides a solar water heating system for improving solar energy utilization rate, comprising the following modules: a data acquisition module for acquiring water temperature, inlet water temperature, environmental temperature and pipeline water pressure data of each parallel pipeline in real time through temperature sensors and pressure sensors when water in each parallel pipeline is circulating.

[0007] A data analysis module for calculating heat loss amount through a heat loss model and determining an optimal water flow channel and valve opening degree by combining a shunt decision algorithm.

[0008] Data monitoring module: used for regulating the calculated valve opening, and monitoring the core data in real time during the regulation process, and judging the circulation effect according to the monitoring result.

[0009] The beneficial effects of the present application are: 1. The present application provides a solar water heating system for improving solar utilization rate. When the water in each parallel pipeline is circulating, the water temperature, inlet water temperature, ambient temperature and pipeline water pressure data in each parallel pipeline are collected in real time through temperature sensors and pressure sensors, the heat loss amount is calculated through a heat loss model, the optimal water flow channel and valve opening are determined by combining a shunt decision algorithm, and finally the calculated valve opening is regulated. The core data is monitored in real time during the regulation process, and the circulation effect is judged according to the monitoring result. The present application preferentially recovers the waste heat of high-temperature pipelines through intelligent shunt technology, preferentially uses pipelines with good effect to prevent temperature loss, dynamically reduces heat loss by using environmental adaptation strategy, improves waste heat recovery rate and solar utilization rate, reduces heat loss, and effectively solves the problems of uneven water temperature and energy waste in the multi-pipeline parallel scene.

[0010] 2. When adjusting the valve opening each time, the fine adjustment range is controlled in a reasonable range to avoid water flow impact or system flow fluctuation caused by sudden opening; the adjustment results of each parallel pipeline are synchronized to the system interactive interface in the running state to realize the water flow priority adjustment of the valve opening of each parallel pipeline. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0012] Figure 1 The present application is a system structure connection diagram. DETAILED DESCRIPTION

[0013] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments only constitute some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0014] Reference Figure 1As shown, a solar water heating system for improving solar energy utilization efficiency comprises the following modules: a data acquisition module for acquiring water temperature, inlet water temperature, ambient temperature and pipeline water pressure data in each parallel pipeline in real time through temperature sensors and pressure sensors when water in each parallel pipeline is circulating.

[0015] In a specific embodiment, the specific process of the data acquisition module is as follows: the data acquisition module comprises a temperature sensing unit, a pressure and distance sensing unit and a data transmission unit.

[0016] The temperature sensing unit: one set of micro temperature sensors is installed at the inlet, outlet and middle part of each parallel pipeline to acquire water temperature in each parallel pipeline in real time; ambient temperature sensors are installed around to acquire real-time ambient temperature; a temperature sensor is installed at the outlet of the solar collector to acquire inlet water temperature of hot water.

[0017] The pressure and distance sensing unit: a pressure sensor is installed at the inlet end of each parallel pipeline to acquire pipeline inlet water pressure as pipeline water pressure data.

[0018] The data transmission unit: a wireless communication module is used to upload the acquired water temperature, inlet water temperature, ambient temperature and pipeline water pressure data to the data analysis module in real time.

[0019] It should be noted that the micro temperature sensor: a temperature detection element with small size, suitable for pipeline installation space, which accurately acquires real-time water temperature at different parts of the pipeline.

[0020] Parallel pipeline: a pipeline collection with multiple pipelines arranged in parallel in the solar water heating system, one end of each pipeline is connected to the outlet of the solar collector, and the other end converges to the water end. Due to differences in layout and exposure environment, water temperature is not uniform, which is the core object of system regulation and control.

[0021] Water temperature data: three types of temperature data collected through micro temperature sensors at the inlet, outlet and middle part of the pipeline.

[0022] Data analysis module: used to calculate heat loss by heat loss model, and determine the optimal water flow channel and valve opening degree by combining shunt decision algorithm.

[0023] In a specific embodiment, the specific process of the data analysis module is as follows: the water temperature, inlet water temperature, ambient temperature and pipeline water pressure data in each parallel pipeline are preprocessed.

[0024] Based on the heat loss model, the pipeline water temperature, ambient temperature, pipeline length and water flow related parameters after preprocessing are substituted to calculate the heat loss of each parallel pipeline.

[0025] The shunt decision algorithm is executed to calculate the difference between the water temperature in each parallel pipeline and the inlet water temperature, and the priority water flow channel with recoverable waste heat is screened out.

[0026] The pipeline length, ambient temperature and pipeline water pressure data are used to adjust the valve opening degree according to the water flow priority of each parallel pipeline.

[0027] It should be noted that the data preprocessing: the collected water temperature, inlet water temperature, ambient temperature and pipeline water pressure raw data of each parallel pipeline are processed, including eliminating abnormal sensor fluctuation data, correcting data deviation and smoothing data fluctuation, and eliminating invalid data interference.

[0028] Heat loss model: a preset mathematical calculation model for quantifying pipeline energy loss, combined with the preprocessed water temperature, inlet water temperature, ambient temperature, pipeline water pressure data and water flow related parameters of each parallel pipeline, the conduction heat loss and flow heat loss of the pipeline are accurately split and calculated, and finally the total heat loss of the single pipeline is output.

[0029] Shunt decision algorithm: by calculating the difference between the water temperature in each parallel pipeline and the inlet water temperature, combined with the heat loss and pipeline data, the pipelines with waste heat recovery value are screened and sorted, and finally the optimal water flow channel sequence and the water flow priority of each pipeline are determined.

[0030] The difference between the water temperature and the inlet water temperature: the difference between the water temperature in a single parallel pipeline and the outlet hot water inlet temperature of the solar collector.

[0031] Recoverable waste heat: the heat corresponding to the part of the pipeline where the water temperature is higher than the inlet water temperature.

[0032] Priority water flow channel: the pipeline set with recoverable waste heat and high priority selected by the shunt decision algorithm.

[0033] Preferably, the specific process of calculating the heat loss of each parallel pipeline is: the total heat loss of each parallel pipeline includes the heat loss of pipeline conduction and the heat loss of water flow, and the formula is as follows: , wherein, is the total heat loss of each parallel pipeline, is the wall surface conduction heat loss of each parallel pipeline, is the heat loss carried by the water flow in each parallel pipeline.

[0034] The calculation process of the wall surface conduction heat loss of each parallel pipeline is as follows: first, the water temperature and ambient temperature in each parallel pipeline are marked as and , the temperature difference between the water temperature and the ambient temperature in each parallel pipeline is calculated: , and the temperature difference between the water temperature and the ambient temperature in each parallel pipeline is obtained.

[0035] Obtain the thermal conductivity, heat dissipation area, and water residence time of each parallel pipe, and label these parameters as follows: , and Substituting into the heat loss formula: This yields the amount of conductive heat loss generated by a single pipe exchanging heat with the environment through its wall.

[0036] Heat loss carried by water flowing in parallel pipes The calculation process is as follows: Obtain the water mass flow rate, water velocity, outlet water temperature of each parallel pipe, and specific heat capacity of water. Label the water mass flow rate, water velocity, outlet water temperature of each parallel pipe, and specific heat capacity of water as follows: , , and Calculate the mass flow rate of the water flow: ; Calculate the temperature difference between the inlet and outlet water of each parallel pipe: .

[0037] Substituting into the flow heat loss formula: This yields the amount of heat loss carried by the water during its transport within each parallel pipe.

[0038] It should be noted that the thermal conductivity and heat dissipation area of ​​each parallel pipe are obtained from the pipe instruction manual. Obtaining the water flow residence time: Water flow residence time = end time - start time, that is, the time interval from when the water flow first falls below the preset threshold to when the flow completely stops, which is the water flow residence time in the pipe.

[0039] Obtaining water mass flow rate, water velocity, and outlet water temperature of each parallel pipe: Water mass flow rate can be acquired by a water flow sensor, water velocity can be acquired by a flow meter, and outlet water temperature of each parallel pipe can be acquired by a temperature sensor.

[0040] In a specific embodiment, the specific process of calculating the difference between the water temperature in each parallel pipe and the inlet water temperature to screen out the priority water flow channels for waste heat recovery is as follows: obtain the real-time water temperature, inlet water temperature, ambient temperature and pipe water pressure data of each parallel pipe to form a basic dataset for screening, and calculate the difference between the water temperature in each parallel pipe and the inlet water temperature as the water temperature difference of each parallel pipe.

[0041] Extract the water temperature difference, water temperature and circulation efficiency coefficient of each parallel pipe from the historical cycle records.

[0042] The water temperature difference in the selected historical cycle is the same as the water temperature difference of each parallel pipeline in the current cycle, and each historical cycle is selected as a reference cycle.

[0043] The priority coefficient of each parallel pipeline is calculated by using the cycle efficiency coefficient of each reference cycle corresponding to the water temperature in each parallel pipeline.

[0044] The priority coefficient greater than the preset priority coefficient threshold is selected as the priority water flow channel of the recoverable waste heat.

[0045] It should be noted that the preset priority coefficient threshold is a critical value for judging whether the priority coefficient meets the standard, which is set by professionals according to the recovery demand, and the specific numerical limit is not performed here.

[0046] The data monitoring module is used to regulate the calculated valve opening, and real-time monitoring of core data is performed during the regulation process, and the cycle effect is judged according to the monitoring result.

[0047] In a specific embodiment, the specific process of regulating the valve opening of the water flow priority of each parallel pipeline is: according to the priority coefficient, the priority type is divided into high priority, medium priority and low priority, the temperature difference interval corresponding to the low priority, medium priority and high priority is extracted from the database, and the type of the interval where the temperature difference of each parallel pipeline is located is the type of the priority of the pipeline.

[0048] The valve opening value corresponding to the priority type of the valve opening of each parallel pipeline is extracted from the database, and the valve opening value corresponding to the priority type of the valve opening of each parallel pipeline is the valve opening of the pipeline.

[0049] It should be noted that the valve opening value corresponding to the priority: the priority type-valve opening quantitative corresponding value pre-stored in the system database, such as high priority corresponding to valve opening 90%-100%, medium priority corresponding to valve opening 50%-60%, and low priority corresponding to valve opening 30%-40%.

[0050] The priority type-valve opening quantitative corresponding value pre-stored in the system database is set according to the demand, which can be manually adjusted, and the specific numerical limit is not performed here.

[0051] In a specific embodiment, the specific process of regulating the calculated valve opening is: according to the priority of the pipeline, the initial valve opening is output according to the pre-stored priority-opening interval, the high priority takes the interval value of 90%-100%, the medium priority takes the interval value of 50%-60%, and the low priority takes the interval value of 30%-40%.

[0052] Then, the actual water flow status of each parallel pipe is monitored in real time by flow sensors, and the deviation value of the target flow is obtained based on the priority of each parallel monitoring pipe.

[0053] Set a proportional coefficient; the valve opening adjustment amount = the deviation of the target flow rate × the proportional coefficient. If the flow rate is lower than the target value, increase the valve opening by the adjustment amount; if the flow rate is higher than the target value, decrease the valve opening by the adjustment amount.

[0054] It should be noted that the actual water flow status is the water flow operation data collected in real time by the flow sensor inside the pipeline. The core data includes the actual flow rate and actual flow velocity, which are used to intuitively reflect the current water flow transportation status of the pipeline.

[0055] Target flow rate: The optimal flow rate standard determined based on the pipeline priority type.

[0056] Deviation of target flow rate: The quantitative difference calculated by subtracting the target flow rate from the actual flow rate directly reflects the degree of deviation between the actual flow rate and the ideal state: a negative difference indicates insufficient flow rate, a positive difference indicates excessive flow rate, and a difference of 0 indicates normal flow rate.

[0057] Set the proportional coefficient: Based on the pipeline priority type, set the proportional coefficient as follows: High priority pipelines: set the basic proportional coefficient to 0.2-0.3 to prioritize the rapid correction of flow deviations and avoid loss of high-value waste heat; Medium priority pipelines: set the basic proportional coefficient to 0.15-0.25 to balance sensitivity and stability, and take into account waste heat recovery and energy consumption; Low priority pipelines: set the basic proportional coefficient to 0.05-0.15 to focus on stability and avoid the adjustment of low-value pipelines from affecting the overall system balance.

[0058] Valve opening adjustment amount: The valve opening adjustment range is calculated by multiplying the deviation of the target flow rate by a proportional coefficient.

[0059] In a specific embodiment, the process of real-time monitoring of core data during the control process is as follows: real-time monitoring of flow rate, velocity, and total heat loss of a single pipe at each moment during the control process and completion of preprocessing.

[0060] Traffic data analysis and calculation process: Extract traffic data intervals from the database, and denote the traffic data and traffic data intervals at each time point as follows: and , Numbering each moment. For positive integers, the formula for analyzing flow data coefficients is: ,in, This represents the flow rate coefficient at each time point.

[0061] according to The analysis mode is that the flow rate data coefficient and the single pipe total heat loss data coefficient at each time are analyzed.

[0062] The flow rate data coefficient, the flow rate data coefficient and the single pipe total heat loss data coefficient at each time are averaged, and the calculation result is used as the effect value at each time, and then the circulation effect is judged according to the monitoring result.

[0063] It should be noted that the flow data includes instantaneous flow data, cumulative flow data, flow peak and valley value data and average flow data.

[0064] Instantaneous flow data: the volume or mass of fluid passing through the cross section of the pipeline at a certain time.

[0065] Cumulative flow data: the sum of instantaneous flow in a period of time, which is used to calculate the total delivery amount.

[0066] Flow peak and valley value data: the maximum and minimum values of instantaneous flow in a monitoring period.

[0067] Average flow data: the arithmetic mean of instantaneous flow in a monitoring period.

[0068] Flow data range: a specific numerical range for determining that the flow is qualified and belongs to S class. The flow value is limited in both directions, that is, it cannot exceed the upper limit and cannot be lower than the lower limit. The value must fall within this range to meet the qualified standard.

[0069] Flow data monitoring process: real-time acquisition of actual volume flow data through flow sensors installed in each parallel pipeline, real-time display of actual flow data of each parallel pipeline and comparison and trend of flow data range on the interactive interface after pretreatment.

[0070] Flow rate data includes instantaneous flow rate data, average flow rate data, flow rate peak and valley value data and flow rate distribution data.

[0071] Instantaneous flow rate data: the flow rate of fluid in the pipeline at a certain time.

[0072] Average flow rate data: the arithmetic mean of instantaneous flow rate in a monitoring period.

[0073] Flow rate peak and valley value data: the maximum and minimum values of instantaneous flow rate in a monitoring period.

[0074] Flow rate distribution data: flow rate at different positions of the pipeline cross section.

[0075] Flow rate data range: a specific numerical range for determining that the flow rate is qualified and belongs to S class. The flow rate value is limited in both directions, that is, it cannot exceed the upper limit and cannot be lower than the lower limit. The value must fall within this range to meet the qualified standard.

[0076] The monitoring process of the flow rate data: the flow rate sensors installed in the parallel pipelines collect the actual flow rate data of the water flow in real time, and after preprocessing, the actual flow rate data of each parallel pipeline and the comparison and trend of the flow rate data range are displayed in real time on the interactive interface.

[0077] The single-pipeline total heat loss amount data includes instantaneous total heat loss amount data, cumulative total heat loss amount data, average total heat loss amount data and heat loss peak and valley value data.

[0078] The instantaneous total heat loss amount data: the total heat loss of the pipeline to the environment through the pipe wall and the insulation layer at a certain moment.

[0079] The cumulative total heat loss amount data: the sum of the instantaneous total heat loss amount in the monitoring period.

[0080] The average total heat loss amount data: the arithmetic mean of the instantaneous total heat loss amount in the monitoring period.

[0081] The heat loss peak and valley value data: the maximum and minimum values of the instantaneous total heat loss amount in the monitoring period.

[0082] The single-pipeline total heat loss amount data range: a specific numerical range for determining that the single-pipeline total heat loss amount is qualified and belongs to the S class. The single-pipeline total heat loss amount value is limited in both directions, that is, it cannot exceed the upper limit and cannot be lower than the lower limit. The value needs to fall within this range to meet the qualified standard.

[0083] The monitoring process of the single-pipeline total heat loss amount data: the average water temperature, outlet water temperature and environmental temperature in the pipeline are obtained by the micro temperature sensor, the actual flow rate is obtained by the flow rate sensor, and the parameters such as the heat conductivity of the pipeline, the heat dissipation area and the specific heat capacity of the water in the database are synchronously retrieved. The single-pipeline total heat loss amount data is calculated, and after preprocessing, the actual single-pipeline total heat loss amount data of each parallel pipeline and the comparison and trend of the single-pipeline total heat loss amount data range are displayed in real time on the interactive interface.

[0084] Preferably, the specific process of judging the circulation effect according to the monitoring result is that the effect value at each moment is recorded as , wherein indicates the number of each moment, is a positive integer, and the effect value threshold is recorded as .

[0085] The circulation efficiency coefficient is calculated by the formula: , and the circulation efficiency coefficient is obtained, wherein indicates the maximum effect value in each moment, indicates the minimum effect value in each moment, indicates the average value of the effect value corresponding to each moment, The quantity of time points is represented.

[0086] The effect values of each time point are averaged to obtain the efficiency coefficient of the current time point.

[0087] The cycle efficiency coefficient is compared with the preset cycle efficiency coefficient threshold value, if the cycle efficiency coefficient is greater than the preset cycle efficiency coefficient threshold value, it indicates that the cycle effect is good, otherwise it indicates that the cycle effect is not good.

[0088] It should be noted that, The effect value corresponding to each time point is obtained by averaging.

[0089] The preset effect value threshold value is a critical value for judging whether the effect meets the standard, which is set by professionals according to the effect demand, and no specific numerical limit is made here.

[0090] The preset cycle efficiency coefficient threshold value is a critical value for judging whether the cycle efficiency is good, which is set by professionals according to the cycle demand, and no specific numerical limit is made here.

[0091] The database is used to store the water temperature data, water inlet temperature data, environmental temperature data, pipeline water pressure data, flow data, flow rate data, single pipeline total heat loss data, flow data interval, flow rate data interval, single pipeline total heat loss data interval, and also store the priority coefficient threshold value and the effect value threshold value.

[0092] The examples described in the present application are not limited to the specific ways listed in the above embodiments, and the above examples are only exemplary descriptions provided for the convenience of understanding the present application, and do not constitute a limitation on the protection scope of the present application. Any modification, equivalent replacement, etc. made within the spirit and principles of the present application shall be included in the protection scope.

[0093] The above content is only an example and description of the concept of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace, as long as it does not deviate from the concept of the present application or exceed the scope defined in the specification, which shall be within the protection scope of the present application.

Claims

1. A solar water heating system for improving the utilization of solar energy, characterized in that, The application relates to a solar energy collection system, which comprises the following modules: a data acquisition module: for acquiring water temperature, inlet water temperature, ambient temperature and pipeline water pressure data in each parallel pipeline in real time through temperature sensors and pressure sensors when water in each parallel pipeline is circulated; a data analysis module: for calculating heat loss through a heat loss model and determining optimal water flow channels and valve opening degrees through a shunt decision algorithm; a data monitoring module: for regulating the calculated valve opening degrees, monitoring core data in real time during the regulation process, and judging the circulation effect according to the monitoring results.

2. The solar water heating system of claim 1, wherein, The specific process of the data acquisition module is as follows: The data acquisition module comprises a temperature sensing unit, a pressure and distance sensing unit and a data transmission unit; the temperature sensing unit: one group of micro temperature sensors are installed at the inlet, outlet and middle part of each parallel pipeline to acquire water temperature in each parallel pipeline in real time; ambient temperature sensors are installed around to acquire real-time ambient temperature; a temperature sensor is installed at the outlet of the solar energy collector to acquire inlet water temperature of hot water; the pressure and distance sensing unit: pressure sensors are installed at the inlet end of each parallel pipeline to acquire pipeline inlet water pressure as pipeline water pressure data; the data transmission unit: a wireless communication module is adopted to upload the acquired water temperature, inlet water temperature, ambient temperature and pipeline water pressure data to the data analysis module in real time.

3. The solar water heating system of claim 1, wherein, The specific process of the data analysis module is as follows: the water temperature, inlet water temperature, ambient temperature and pipeline water pressure data of each parallel pipeline are pretreated; based on the heat loss model, the pretreated pipeline water temperature, ambient temperature, pipeline length and water flow related parameters are substituted to calculate the heat loss of each parallel pipeline; a shunt decision algorithm is executed to calculate the difference between the water temperature and the inlet water temperature in each parallel pipeline, and the priority water flow channel of the recoverable residual heat is screened out; the pipeline length, ambient temperature and pipeline water pressure data are used to adjust the valve opening degree according to the water flow priority of each parallel pipeline.

4. The solar water heating system of claim 3, wherein, The specific process of calculating the heat loss of each parallel pipeline is as follows: the total heat loss of each parallel pipeline comprises pipeline conduction heat loss and water flow heat loss, and the formula is as follows: wherein, Qtotal is the total heat loss for each parallel pipe, Qwall is the heat loss by conduction through the wall of each parallel pipe, Qflow is the heat loss by convection of the water flow in each parallel pipe; Conduction heat loss of each parallel pipe wall The calculation process is as follows: First, the water temperature in each parallel pipeline and the ambient temperature are marked as and The temperature difference between the water temperature in each parallel pipeline and the ambient temperature is calculated as The temperature difference between the water temperature in each parallel pipeline and the ambient temperature is obtained; Obtaining the heat conduction coefficient of each parallel pipeline, the heat dissipation area of each parallel pipeline and the water flow retention time, marking the heat conduction coefficient of each parallel pipeline, the heat dissipation area of each parallel pipeline and the water flow retention time as , and , substituting into the conduction heat loss formula: , obtaining the amount of conduction heat loss generated by the wall surface and the environment of a single pipeline. Carried heat loss of water flow in each parallel pipeline The calculation process is as follows: acquiring a water flow mass flow rate, a water flow rate, water temperatures at outlets of the parallel pipelines, and a specific heat capacity of water, marking the water flow mass flow rate, the water flow rate, the water temperatures at the outlets of the parallel pipelines, and the specific heat capacity of water as , , and , calculating the water flow mass flow rate: ; calculating water temperature differences between the inlets and the outlets of the parallel pipelines: ; Substitute the flow heat loss formula: , to get the amount of heat loss carried by the water flow in each parallel pipeline during transportation.

5. The solar water heating system of claim 3, wherein, the specific process of calculating the difference between the water temperature and the inlet water temperature in each parallel pipeline and screening out the priority water flow channel of the recoverable residual heat is as follows: real-time water temperature, inlet water temperature, ambient temperature and pipeline water pressure data of each parallel pipeline are acquired to form a screening basic data set, the difference between the water temperature and the inlet water temperature in each parallel pipeline is calculated as the water temperature difference of each parallel pipeline; water temperature differences of each parallel pipeline, water temperatures in each parallel pipeline and circulation efficiency coefficients are extracted from historical circulation records; each historical circulation with the same water temperature difference as the water temperature difference of each parallel pipeline in the current circulation is selected as each reference circulation, the water temperature in each parallel pipeline and the circulation efficiency coefficient corresponding to each reference circulation are extracted, and the circulation efficiency coefficient of each reference circulation corresponding to the water temperature in each parallel pipeline is counted; the priority coefficient of each parallel pipeline is calculated by using the circulation efficiency coefficient of each reference circulation corresponding to the water temperature in each parallel pipeline; the priority coefficient greater than a preset priority coefficient threshold value is selected as the priority water flow channel of the recoverable residual heat.

6. The solar water heating system of claim 3, wherein, The specific process of adjusting the valve opening degree of the water flow of each parallel pipeline is as follows: According to the priority coefficient, the priority type is divided into high priority, medium priority and low priority, the temperature difference intervals corresponding to low priority, medium priority and high priority are extracted from the database, and the type of the interval in which the temperature difference of each parallel pipeline is located is the type of the priority of the pipeline; The valve opening degree values corresponding to low priority, medium priority and high priority are extracted from the database, and the valve opening degree corresponding to the priority type in which the valve opening degree of each parallel pipeline is located is the valve opening degree of the pipeline.

7. The solar water heating system of claim 1, wherein, The specific process of regulating and controlling the calculated valve opening degree is as follows: According to the priority of the pipeline, the initial valve opening degree is output according to the pre-stored priority-opening degree interval, the high priority takes the interval value of 90%-100%, the medium priority takes the interval value of 50%-60%, and the low priority takes the interval value of 30%-40%; Then, the actual water flow state of each parallel pipeline is monitored in real time through the flow sensor, and the deviation value of the target flow is obtained based on the priority corresponding to each parallel monitoring pipeline; Set the proportion coefficient, the valve opening degree adjustment amount=target flow deviation amount x proportion coefficient; if the flow rate is lower than the target value, increase the valve opening degree according to the adjustment amount; if the flow rate is higher than the target value, decrease the valve opening degree according to the adjustment amount.

8. The solar water heating system of claim 1, wherein, The specific process of monitoring the core data in real time in the regulation and control process is as follows: Real-time monitoring and preprocessing of the flow, flow rate and total heat loss of each pipeline at each time are performed; Flow data analysis calculation process: extract flow data interval from the database, and record the flow data and flow data interval at each time as and , is the number of each time, is a positive integer, and the flow data coefficient analysis formula is: wherein, indicates the flow data coefficient at each time; according to The analysis method yields the flow velocity data coefficients and the total heat loss data coefficients of a single pipe at each time point; The flow data coefficient, flow rate data coefficient and total heat loss of each pipeline data coefficient at each time are calculated, and the calculation result is used as the effect value at each time, and then the circulation effect is judged according to the monitoring result.

9. The solar water heating system of claim 8, wherein, The specific process of judging the circulation effect according to the monitoring result is as follows: Let the effect value at each time be denoted as wherein denotes the number of each time, is a positive integer, and an effect value threshold is set, denoted as ; Using the formula for calculating the cycle efficiency coefficient: The cycle efficiency coefficient is obtained. In the formula, This represents the maximum effect value at any given time. This represents the minimum effect value at each time point. This represents the average effect value at each time point. Indicates the number of moments; The effect value at each time is calculated, and the calculation result is used as the efficiency coefficient at the current time; Compare the circulation effect coefficient with the preset circulation effect coefficient threshold value, if the circulation effect coefficient is greater than the preset circulation effect coefficient threshold value, it means that the circulation effect is good, otherwise it means that the circulation effect is not good.

10. The solar water heating system of claim 1, wherein, The database is used to store the water temperature data, inlet water temperature data, environmental temperature data, pipeline water pressure data, flow data, flow rate data, total heat loss of each pipeline data, flow data interval, flow rate data interval, total heat loss of each pipeline data interval, and also store the priority coefficient threshold value and effect value threshold value.

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