Solar heat collection and storage system with intelligent regulation and control function

Abstract

The invention relates to the technical field of intelligent control, in particular to a solar heat collection and storage system with an intelligent regulation and control function, which comprises a heat collection state recognition module, a hot-pressure fluctuation diagnosis module, a branch switching control module, a slow start path regulation and control module and an energy supply analysis module. According to the method, by analyzing the synchronous relation between the heat conduction liquid temperature rise trend and the thermal inductance state, the stable characteristics of heat collection response are recognized, the matching precision of heat source output and liquid conduction is improved, the path pressure fluctuation and the heat input period change are combined, main circulation abnormity is recognized in advance, and rapid replacement of a standby path is assisted to be completed; segmented conduction and heat removal operation ensures flow continuity, enhances heat flow conduction efficiency, crosswise judges a heat supply channel and a heat storage state, realizes linkage optimization of path selection and heat source scheduling, and improves response coordination, operation stability and heat energy utilization efficiency of the system under multiple working conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and particularly relates to a solar heat collection and storage system with intelligent regulation functions. Background Art

[0002] The technical field of intelligent control includes a set of technologies for automatically adjusting and optimizing the control of equipment, systems or processes. The core content of this technical field lies in collecting environmental data, operating status or target parameters, and using logical control, mathematical modeling, feedback mechanisms and preset instructions to achieve real-time adjustment and dynamic response of the execution process. This field widely covers multiple directions such as industrial manufacturing, energy management, traffic scheduling, and building environment regulation. Systematically, intelligent control obtains input data through the sensing layer, processes the data using control logic and generates instructions to be output to the execution device to complete the control action of physical entities. Its technical implementation often includes multiple aspects such as hardware control circuits, embedded control logic, state recognition algorithms and real-time signal processing mechanisms, and emphasizes control accuracy, response efficiency and operation stability.

[0003] Among them, a solar heat collection and storage system with intelligent regulation functions refers to a thermal energy management device that combines environmental parameters and operating status information during the process of solar energy collection and heat energy storage, and dynamically adjusts the operating conditions of the heat collection unit and the heat storage unit through an adaptive control strategy. The patent theme covers multiple key matters such as solar radiation intensity detection, temperature change trend monitoring, liquid circulation state regulation and heat storage medium switching control. Specifically, the control logic is judged by setting the difference between the control target parameters and the actual state data to achieve on-demand adjustment of the heating medium flow rate, implementation of the heat storage unit switching strategy, and directional guidance of the heat conduction process. The control system generates output instructions based on environmental data, directly acting on specific operation steps such as valve control, pump speed adjustment and heat exchange path selection, forming a closed control loop to achieve intelligent regulation.

[0004] Traditional technologies often rely on fixed feedback mechanisms in the regulation of heat collection systems, lacking the ability to deeply analyze real-time data and respond quickly, resulting in slow response when environmental conditions change and being unable to effectively adapt to complex and variable operation requirements. In addition, existing systems usually lack flexibility in terms of pressure fluctuations and path selection, and cannot be adjusted according to real-time situations, so that the system cannot quickly take effective measures when facing abnormal node pressures, affecting the overall thermal efficiency and system stability. Existing path control strategies have not fully considered the dynamic relationships between various paths, lacking effective path management and optimization mechanisms, resulting in ineffective resource allocation during high-demand periods and affecting the heating quality and economy of the system. Summary of the Invention

[0005] The object of the present invention is to solve the disadvantages existing in the prior art, and a solar heat collection and storage system with intelligent regulation function is proposed.

[0006] To achieve the above object, the present invention adopts the following technical solutions: A solar heat collection and storage system with intelligent regulation function includes: The heat collection state recognition module obtains the temperature rise trend of the heat conduction fluid, analyzes the synchronization relationship with the thermal sense state of the silicon crystal tube, retrieves the flow trajectory of the inlet section, identifies the heat source output and the liquid propulsion state, and obtains the stable state of the heat collection response; The heat pressure fluctuation diagnosis module, based on the stable state of the heat collection response, collects the pressure data of the path nodes, identifies the downward trend and matches the heat input cycle, classifies it as the abnormal fluctuation of the main cycle, and obtains the closed intention state of the main cycle path; The branch switching control module, based on the closed intention state of the main cycle path, screens the uninvested branches, reads the states of the valve and pump components, combines the flow state and the control response situation to replace the path, and obtains the execution action of the standby path; The slow start path regulation module, based on the execution action of the standby path, conducts the on-off and heat dissipation operations in segments, monitors the flow coherence and the heat flow trend, identifies that the path has formed a conduction process, and obtains the slow start path connection state recognition signal; The energy supply analysis module, based on the slow start path connection state recognition signal, extracts the heat storage state and the path on-off information, combines the heat return water fluctuation, screens the executable paths and heat sources, and obtains the intelligent heating path joint control state.

[0007] As a further solution of the present invention, the stable state of the heat collection response includes the temperature continuous growth section, the heat input and temperature rise synchronization section, the inlet section flow direction matching section, and the heat source continuous release state recognition result. The closed intention state of the main cycle path includes the middle section pressure difference distribution trend, the heat pressure fluctuation duration interval, the path scheduling execution state label, and the task cycle synchronization state. The execution action of the standby path includes the set of switchable branch numbers, the state information of the connection components, the alternative path trigger signal, and the valve and pump control sequence. The slow start path connection state recognition signal includes the middle and end section flow coherence label, the heat conduction direction recognition data, the temperature change trend record, and the continuous heat release sequence in the path. The intelligent heating path joint control state includes the path heating priority sequence, the target heat source matching record, the response rhythm control instruction set, and the energy supply trigger time sequence.

[0008] As a further solution of the present invention, the heat collection state recognition module includes: The temperature rise trend extraction sub-module obtains the temperature value of the heat conduction fluid entering the initial section of the heat collection section of the solar silicon crystal tube, extracts the temperature change records in a continuous time period, compares the change directions, screens the continuously rising sections and identifies the change continuity, and obtains the temperature rise trend consistency interval; Based on the consistent temperature rise interval, the synchronous response recognition sub-module extracts the starting time and continuous performance of the thermal response of the silicon crystal tube, compares the time relationship with the temperature rise section, screens the overlapping time periods, and obtains the thermal input synchronous matching section; Based on the thermal input synchronous matching section, the heat flow state discrimination sub-module extracts the flow velocity direction and heat conduction direction of the inlet section of the heat transfer fluid, retrieves the interruption or backflow situation during the flow process, and obtains the stable state of the heat collection response.

[0009] As a further solution of the present invention, the hot pressing fluctuation diagnosis module includes: Based on the stable state of the heat collection response, the node pressure extraction sub-module obtains the pressure measurement values of the nodes in the heat collection path, extracts the positions of the nodes in the path structure, identifies the state performance where the pressure in the middle section is continuously lower than that in the front and rear sections, and screens the path sections where the pressure in the middle section shows a downward direction, so as to obtain the pressure difference distribution interval of the path nodes; Based on the pressure difference distribution interval of the path nodes, the fluctuation trend recognition sub-module extracts the continuously descending path section in the middle section, summarizes the number of nodes occupied in the whole path, calculates the ratio of the number to the total number of nodes in the path, judges the extension range of the pressure difference descending trend, and obtains the characteristic of the pressure difference sinking trend in the middle section; Based on the characteristic of the pressure difference sinking trend in the middle section, the cycle association matching sub-module extracts the main cycle period and the thermal input time period, analyzes the start and end times of the trend section and the occurrence state of the thermal input stage, and identifies the trend section that is not called out and is in the main task state in the current path, so as to obtain the closed intention state of the main cycle path.

[0010] As a further solution of the present invention, the specific calculation formula of the ratio of the number to the total number of nodes in the path is: ; Wherein, represents the ratio of the number to the total number of nodes in the path, represents the number of nodes in the continuously descending path section in the middle section, represents the total number of nodes in the whole path, represents the pressure value of the i-th node in the middle section, represents the average value of the node pressures in the middle section, represents the total absolute deviation between the node pressures in the middle section and the average value, represents the maximum pressure in the path, represents the minimum pressure in the path.

[0011] As a further solution of the present invention, the branch switching control module includes: Based on the closed intention state of the main loop path, the path availability recognition sub-module extracts the current position of the standby path valve actuator and the flow state of the heat-conducting fluid, identifies the branch numbers that did not participate in the task in the current cycle, and obtains the set of callable paths for the branches; Based on the set of callable paths for the branches, the connection condition judgment sub-module extracts the connection segments, valve components, and circulating pump connection information corresponding to each path, counts the number of path entries with connection response characteristics, calculates the proportion of the number in all callable paths, and combines the path structure feedback status to obtain the branch connection adaptation ratio interval; Based on the branch connection adaptation ratio interval, the control instruction execution sub-module identifies the path numbers that meet the connection conditions, pushes control instructions to the actuator, and generates standby path execution actions.

[0012] As a further solution of the present invention, the calculation formula for the proportion of the number in all callable paths is specifically: ; Among them, represents the proportion of the number in all callable paths, represents the number of paths determined to have connection response characteristics during the monitoring period, represents the number of activated connection segments in each response path, represents the number of normally closed valves in the i-th response path, represents the number of abnormally opened segments in the j-th callable path, represents the sum of the squares of the single response durations of the circulating pumps recorded in all response paths, represents the total number of all callable path entries, represents the average value of the total number of structural connection segments in each path, represents the average value of the successful times of valve control signal feedback in the path set, represents the average value of the number of non-expected disconnection segments in the path set.

[0013] As a further solution of the present invention, the slow start path regulation module includes: Based on the slow start path connection state recognition signal, the heat storage state extraction sub-module obtains the current temperature values of the heat storage tank, hot water tank, and heat energy management tank, records the conduction state of the path control channel, extracts the path numbers corresponding to the heat storage units, and obtains the corresponding structure information of the heat storage paths; Based on the corresponding structure information of the heat storage paths, the path heat source screening sub-module obtains the time fluctuation trend of the return water temperature at the user end, marks the return water fluctuation amplitude under the path number, extracts the heat source temperature values in the paths in the heating state, calculates the attribution label of the return water fluctuation amplitude within the standard heat stability interval, and obtains the set of sustainable heating path labels; Based on the sustainable heating path label set, the path combination execution sub-module extracts the path numbers that have been responded to in the current period, associates the heat storage source information with the valve control beat signal, sets the path trigger order sequentially, and obtains the slow start path connection state recognition signal.

[0014] As a further solution of the present invention, the calculation formula of the return water fluctuation range is specifically: ; Wherein, represents the return water fluctuation range of the path with path number k, represents the return water temperature value of the path with path number k at the u-th time point, represents the average value of the return water temperature values of the path with path number k, represents the heat source temperature value of the path with path number k at the u-th time point, represents the average value of the heat source temperature values of the path with path number k, represents the disturbance factor value in the heating cycle of the path with path number k at the u-th time point, represents the average value of the disturbance factors in the heating cycle of the path with path number k, represents the total number of time points involved in the path with path number k, represents the environmental reference temperature value in the corresponding period of the path with path number k.

[0015] As a further solution of the present invention, the energy supply analysis module includes: Based on the slow start path connection state recognition signal, the heat source state extraction sub-module collects the temperature data of the heat storage tank, hot water tank and thermal energy management box, extracts the conduction state information corresponding to the path number, identifies the heat source paths in the heat output state, and summarizes the set of heat storage paths currently capable of output to obtain the heat source path activation list; Based on the heat source path activation list, the path heat screening sub-module obtains the record of the change in the return water temperature at the user end, identifies the overlapping interval between the fluctuation time period and the path number, constructs a matching relationship according to the heat source temperature and the number of conduction states corresponding to the path number, performs the division of the number and the number of heat sources, and extracts the equal-frequency pairing structure between the path and the heat source to obtain the path heat source grouping sequence; Based on the path heat source combination sequence, the joint control sequence construction sub-module extracts the response start interval of each path in the combination sequence, sorts and binds the response order of the path numbers, sets the heating order table and synchronously associates the output node state to obtain the intelligent heating path joint control state.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by analyzing the synchronous relationship between the temperature rise trend of the heat-conducting liquid and the thermal sensation state, the stable characteristics of the heat collection response are identified, the matching accuracy of the heat source output and the liquid conduction is improved, and in combination with the path pressure fluctuation and the periodic change of the heat input, the main cycle anomaly is identified in advance, and the rapid replacement of the standby path is assisted to complete. The segmented conduction and heat dissipation operations ensure the flow coherence, strengthen the heat transfer conduction efficiency, cross-judge the heat supply channel and the heat storage state, realize the linkage optimization of the path selection and the heat source scheduling, and improve the response coordination, operation stability and heat energy utilization efficiency of the system under multiple working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the system flow chart of the present invention; Figure 2 is the system block diagram of the present invention; Figure 3 is the three-dimensional structure schematic diagram of the present invention; Figure 4 is Figure 1 the rear view structure schematic diagram of DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. In addition, in the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.

[0020] Please refer to Figure 1 , a solar heat collection and heat storage system with intelligent regulation function includes: The heat collection state recognition module obtains the temperature value of the heat-conducting liquid entering the initial section of the solar silicon crystal tube heat collection section, and analyzes the continuously increasing state. By comparing the temperature rise persistence with the thermal induction state on the silicon crystal surface, the synchronous relationship between the liquid temperature rise process and the heat input process in terms of time and trend is identified, the flow trajectory of the heat-conducting liquid at the inlet section is retrieved, and the operation consistency between the flow pattern and the heat conduction direction is analyzed. It is marked that the heat source of the silicon crystal tube is in a continuous release state and the liquid flow does not have a backflow, and the stable state of the heat collection response is obtained; Based on the stable state of the heat collection response, the hot press fluctuation diagnosis module reads the pressure change sequence of the three nodes at the front, middle, and rear of the heat collection path, compares the position of the middle section pressure value with that of the front and rear sections, identifies the tendency of the middle section area to form a local pressure sinking structure, queries the state that the path is currently in the main circulation process and has not been scheduled to terminate, associates the synchronization coincidence range between the fluctuation occurrence period and the main heat collection task cycle, classifies the hot press fluctuation into the linkage characteristics during the heat input process, and obtains the closed intention state of the main circulation path; Based on the closed intention state of the main circulation path, the branch switching control module accesses the current position of the standby path valve actuator and the current flow state of the heat conduction fluid, excludes the branches that are currently under regulation or locked, screens the branches that have not participated in the execution during the current cycle, queries the connection state of the connection section, valve assembly, and circulation pump, and combines the flow smoothness and control response conditions to perform path replacement operations and push switching execution signals to obtain the standby path execution action; Based on the standby path execution action, the slow start path regulation module activates the valve opening adjustment sequence of the standby path, executes the three-stage control logic of initial section conduction, middle section delay, and end section delayed heat dissipation, forms a gradually advancing structure by releasing the heat conduction fluid in segments, reads the flow coherence state from the middle section to the end section of the path, and simultaneously monitors the heat flow direction and temperature change trend at the discharge port, screens the heat supply path that has formed a continuous heat conduction process, and obtains the slow start path connection state identification signal; Based on the slow start path connection state identification signal, the energy supply analysis module collects the current temperature state and path conduction information from the heat storage tank, hot water tank, and thermal energy management box, screens the heat storage structures and corresponding paths that currently have the ability to export heat, combines the fluctuation of the return water temperature at the user end, matches the paths and target heat sources with continuous heat supply conditions, and arranges the heating actions according to the response time sequence to obtain the intelligent heating path joint control state.

[0021] The stable state of the heat collection response includes the temperature continuous growth section, the heat input and temperature rise synchronization section, the inlet section flow direction matching section, and the heat source continuous release state identification result. The closed intention state of the main circulation path includes the middle section pressure difference distribution trend, the hot press fluctuation duration interval, the path scheduling execution status label, and the task cycle synchronization state. The standby path execution action includes the set of switchable branch numbers, the connection component status information, the alternative path trigger signal, and the valve and pump control sequence. The slow start path connection state identification signal includes the middle and end section flow coherence label, the heat conduction direction identification data, the temperature change trend record, and the path internal heat continuous release sequence. The intelligent heating path joint control state includes the path heating priority sequence, the target heat source matching record, the response rhythm control instruction set, and the energy supply trigger time sequence.

[0022] Please refer to Figure 1 and Figure 2 For the heat collection state identification module, it includes: The temperature rise trend extraction sub-module obtains the temperature value of the heat-conducting liquid entering the initial stage of the heat collection section of the solar silicon crystal tube, extracts the temperature change records within a continuous time period, compares the change directions, screens out the continuously rising segments and identifies the continuity of the changes, and obtains the temperature rise trend consistency interval; First, extract the timestamp information corresponding to this temperature value. Combine the time record sequence, arrange the temperature sampling points in chronological order and generate a continuous temperature sequence. Detect the increasing and decreasing trends of the continuous temperature change segments in the sequence. In practical applications, the sampling period can be set to 10 seconds. A temperature change trajectory graph is formed by 30 groups of temperature values every ten seconds within five minutes. Determine the start and end points of its continuously rising segment and mark the time period without temperature drop or stagnation within this interval. At the same time, exclude the short-term temperature disturbances caused by external environmental changes, such as short-term fluctuations under the conditions of overcast clouds covering the sun or sudden wind speed changes. According to the monotonic relationship between the time value in the temperature change record and the temperature curve, extract the time segments that meet the condition of monotonic growth. Then, conduct a screening of the direction consistency of the temperature increase amplitude within these time periods. For example, if the sampled temperature values are 37.2°C, 37.4°C, 37.8°C, 38.3°C, 38.6°C, 39.0°C between 10:00 and 10:06, it is determined that the change direction within this segment is consistent and the increase amplitude is continuous, so this segment is identified as the temperature rise trend interval. Finally, select the time periods in all continuously rising segments where the change direction is not interrupted and the duration is not shorter than the set lower limit as the dominant segments, and obtain the temperature rise trend consistency interval accordingly.

[0023] The synchronous response identification sub-module, based on the temperature rise trend consistency interval, extracts the start time and continuous performance of the thermal response of the silicon crystal tube, compares the time relationship with the temperature rise segment, screens out the overlapping time periods, and obtains the heat input synchronous matching segment; First, extract the starting time and duration of the thermal response of the silicon crystal tube. It is necessary to record the thermal state data through the thermistor arranged on the outer wall of the silicon crystal tube, extract the starting point of the temperature jump in each set of response data and compare the starting point with the starting time of the heating interval, further identify the alignment relationship between the two on the time axis, and record the duration of the thermal response at the same time. Cross-check it with the total duration of the heating trend interval in sequence, and extract the time period with the intersection of the two time series as the basis for coincidence judgment. For example, in an actual observation, the starting point of the thermal response is recorded as the 15th second, the continuous response time is 90 seconds, and the heating trend interval is 15 seconds. The starting point of the interval is at the 10th second and the end point is at the 110th second. It can be identified that the 15th to 105th second is the overlapping section of the two time series. Then the temperature response density inside the intersection interval is extracted, that is, the data collected by the thermistor is read once every 10 seconds and classified into stable response, rapid fluctuation or thermal delay state. If the thermal response continues to maintain a temperature rise state under the temperature rise trend in more than 80% of the cycles, it is regarded as its response behavior is synchronized with the temperature rise, and the combination of the data label and timestamp of this section is screened out. Through this identification method, the synchronization part between the two processes is locked to obtain the thermal input synchronization matching section.

[0024] The heat flow state discrimination submodule extracts the flow velocity direction and heat conduction direction of the heat transfer fluid inlet section based on the heat input synchronous matching section, retrieves the interruption or backflow of the flow process, and obtains the stable state of the heat collection response; When extracting the flow velocity direction and heat conduction direction of the thermal fluid inlet section, the flow monitoring component adjacent to the inlet heat sensing point should be selected to collect the flow velocity direction data, record the change in the direction of the liquid flow direction in the spatial axis per unit time, and match and judge in combination with the heat conduction direction recorded by the temperature sensor element. For example, if the inlet liquid flows from south to north and the temperature rise area also expands in this direction, the two directions are consistent; if the temperature rise area expands in the reverse direction or does not advance steadily with the flow direction, it needs to be recorded as an inconsistent heat flow direction state; at the same time, collect the instantaneous flow velocity sequence of the thermal fluid in a continuous time period, extract the average flow velocity in the time period and compare it horizontally with the previous time period, if there is a significant jump in the flow velocity, such as a sudden change from 0.95m / s to 0.95m / s. To -0.3m / s, it means that short-term reflux has occurred. The instantaneous temperature value is further linked and confirmed. If the temperature shows a regression in the reflux direction, it is determined to be an effective reflux behavior. In addition, during the continuous monitoring process, if the flow rate is lower than 30% of the initial stable flow rate for 3 or more times in the unit sampling period, it is determined that there is an interruption in the flow process. In the actual test, the flow rate in the inlet section is maintained at about 1.1m / s under stable operation. If the three records are 0.32, 0.35, and 0.29m / s, it should be identified as a continuous interruption. Through the above-mentioned heat transfer and flow direction consistency judgment, reflux mark confirmation and flow rate fluctuation monitoring operations, it can be identified whether the heat flow is in a stable flow state and the stable state of the heat collection response can be obtained.

[0025] Please refer to Figure 1 and Figure 2 , the hot pressing fluctuation diagnosis module includes: The node pressure extraction sub-module, based on the steady state of the heat collection response, obtains the pressure measurement values of the nodes on the heat collection path, extracts the positions of the nodes in the path structure, identifies the state where the middle section pressure is continuously lower than that of the front and rear sections, filters out the path segments where the middle section pressure shows a downward direction, and obtains the pressure difference distribution range of the path nodes; First, collect the numerical records of the pressure sensors at the front, middle, and rear section nodes of the silicon crystal tube heat collection path, and archive the node pressure data within a continuous period according to the time stamp. Subsequently, compare the numbered positions and arrangement directions of each node in the path topology diagram to confirm the relative arrangement order of the middle section nodes and the adjacent paragraphs. Extract the corresponding pressure measurement values of the adjacent front and rear section nodes based on the path sequence positions of the nodes, and perform one-to-one correspondence matching with the middle section node pressure values. Select the partial data where the middle section pressure is always lower than the pressure of the two side nodes at three or more consecutive measurement points in the comparison results. Combine the background state where the liquid temperature rise rate change value is greater than zero during this time period, and classify this section as the area where heat blockage effects may exist. At the same time, extract the path direction from the judgment of the consistency between the node sequence and the heat flow direction, identify the recording section where the middle section pressure shows a decreasing state within a continuous period along the time axis, filter out the continuous path segments composed of the front, middle, and rear points, and label the position of the lowest middle pressure value in this section. Subsequently, calculate the pressure difference between the minimum pressure value in this section and the pressure of the two side measurement points. If the measured difference is within the set judgment reference range, this section is recorded as a pressure fluctuation segment. Accumulatively mark and count its proportion for similar states in the full path node sequence to form a dynamic reference table for subsequent path regulation, and finally generate the pressure difference distribution range of the path nodes.

[0026] The fluctuation trend identification sub-module, based on the pressure difference distribution range of the path nodes, extracts the continuously decreasing path segments in the middle section, summarizes the number of nodes occupied in the whole path, calculates the ratio of the number to the total number of path nodes, judges the extension range of the pressure difference decreasing trend, and obtains the characteristics of the middle section pressure difference sinking trend; The specific calculation formula for the ratio of the number to the total number of path nodes is: ; Wherein, represents the ratio of the number to the total number of path nodes, represents the number of nodes in the continuously decreasing path segments in the middle section, represents the total number of nodes in the whole path, represents the pressure value of the i-th node in the middle section, represents the average value of the middle section node pressures, represents the total absolute deviation between the middle section node pressures and the average value, represents the maximum pressure in the path, Represents the minimum pressure in the path.

[0027] Assume the following values: = 5 nodes; = 15 nodes; = [2.3, 2.5, 2.1, 2.4, 2.2] psi; = 2.3 psi; = 3.0 psi, with the minimum value being = 2.0 psi; Calculate the sum of the absolute deviations between the pressures at the mid - section nodes and the average value: ; Substitute these values into the formula to obtain: ; This result indicates that the extension ratio of the sinking trend characteristic of the mid - section pressure difference is 0.3609, indicating that the proportion of the sinking section in the path nodes is limited. Combining with the deviation term 0.7746, it reflects that this trend is concentrated in a local area and has not formed a common characteristic within the path, and can be used to determine the location and scope of the local pressure difference abnormal area.

[0028] The cyclic association matching sub - module extracts the main cycle period and the heat input time period based on the sinking trend characteristic of the mid - section pressure difference, analyzes the start and end times of the trend section and the occurrence status of the heat input stage, identifies the trend section that has not been called out and is in the main task state in the current path, and obtains the closed intention state of the main cycle path; First, extract the path segments marked as having a downward pressure manifestation in the middle section from the path pressure difference distribution data. Combine the heat flow monitoring records to retrieve the start and end times of each trend segment, and extract the main circulation working status during this time period from the full-cycle path operation log. Then, obtain the temperature difference sequence of the heat-conducting fluid at the inlet and outlet of the silicon crystal tube on the heat source side during this stage, calculate the average temperature rise rate within a continuous time period, and determine whether a continuous heat input state is formed. At the same time, compare the path numbers in the main circulation task scheduling record with the path numbers of the above trend segments one by one, filter out the path segments that have not been scheduled to terminate or replaced and are still in the continuous main circulation state, record the time interval between the pressure difference sinking section and the start time of heat input, and filter out all matching path segments whose time distance before the start of heat input is within the threshold range. Reorganize the path numbers in the order of the main circulation numbers, and establish a matching table in combination with the mapping relationship between the start and end times of the path and the numbers of the main task execution sections. For example, if the main circulation number C05 is executed in the interval from 13:10 to 13:25, and the heat input record shows that the corresponding section of the silicon crystal tube starts the heating process at 13:12, and the path number matches C05 and has not been transferred out, then this path segment is marked as a heat input coincidence path. Finally, summarize all the path segment identifiers that meet the conditions to obtain the main circulation path closed intention state.

[0029] Please refer to Figure 1 and Figure 2 , the branch switching control module includes: Based on the main circulation path closed intention state, the path availability recognition sub-module extracts the current position of the standby path valve actuator and the heat-conducting fluid flow state, identifies the branch numbers that have not participated in the task in the current cycle, and obtains the set of branch callable paths; First, extract the number information corresponding to the main circulation closed path from the path scheduling table, and then sequentially retrieve the valve actuator status data of each path in the standby path list to obtain the current opening value and the opening and closing command response status corresponding to each number. At the same time, synchronously obtain the flow rate, flow direction, and flow duration feedback by the heat-conducting fluid online sensor, and analyze whether there is an interruption record in its flow state. If the current opening of the valve of a certain path is zero or its response state is stagnant, mark this path as an unadjustable state. If the zero flow rate duration of the heat-conducting fluid in this path is greater than the set regulation waiting period, it is also determined that this path is unavailable. Subsequently, extract the set of path numbers that have been executed in the current cycle from the task record table, compare it with the standby path list, exclude the scheduled path numbers, and only retain the set of numbers that have not been put into execution. Summarize all the path numbers determined to be callable and not participated in the execution, establish a path availability set. In the example, if the valve of the standby path P03 is in a half-open state and the flow rate remains within the safe range for 5 consecutive minutes, and its execution task number is not recorded in the current cycle, then P03 is marked as a callable path, output the set of all branch numbers that meet the conditions, and obtain the set of branch callable paths.

[0030] Based on the set of branch callable paths, the connection condition judgment sub-module extracts the connection segments, valve components, and circulating pump connection information corresponding to each path, counts the number of path entries with connection response characteristics, calculates the proportion of this number in all callable paths, and combines the path structure feedback status to obtain the branch connection adaptation ratio interval; The specific calculation formula for the proportion of the number in all callable paths is: ; Among them, represents the proportion of the number in all callable paths, represents the number of paths determined to have connection response characteristics during the monitoring period, represents the number of activated connection segments in each response path, represents the number of normally closed valves in the i-th response path, represents the number of abnormally opened segments in the j-th callable path, represents the sum of the squares of the single response durations of the circulating pumps recorded in all response paths, represents the total number of all callable path entries, represents the average value of the total number of structural connection segments in each path, represents the average value of the number of successful valve control signal feedbacks in the path set, represents the average value of the number of unexpected disconnection segments in the path set; Assume the following values for each item: Each path has an average of 4 valves working properly. Because , the total number of closed valves is ; Each path has an average of 2 segments with abnormalities. For 20 callable paths, the total number of abnormally opened segments is ; If the average response duration of the circulating pump for each path is 30 seconds, then the sum of the squares of the total response durations is seconds²; = 20, = 10 segments, = 5 times, = 3 disconnections; The calculation process is as follows: Calculation of the numerator: ; Calculation of the denominator: ; Final proportion of the connection structure: ; The result indicates that the structural connectivity rate exceeds 100%, which may suggest data overestimation or input errors in the calculation, and it is necessary to review the data and calculation methods. Under correct circumstances, this value should reflect the effectiveness of the branch connectivity adaptation ratio interval, indicating the proportion of the connectivity rate relative to all available paths.

[0031] Based on the branch connectivity adaptation ratio interval, the control instruction execution sub-module identifies the path numbers that meet the connectivity conditions, pushes control instructions to the actuator, and generates standby path execution actions; First, extract the current adjustable branch number list and its corresponding connectivity ratio parameters from the path regulation module, read the current valve response status, the hot fluid flow status of the connected nodes, and the previous opening records of each branch, filter the set of branch numbers that meet the criteria of the connectivity ratio interval. The criteria are that the path conduction rate is within the set interval and the response status is within the executable range. Subsequently, through the execution instruction control logic, sequentially call the control port addresses bound to each branch number in the control unit, push the valve opening adjustment instructions to the corresponding actuator according to the path numbers, and at the same time activate the valve state acquisition unit to feedback the current opening and closing state. Perform response delay control according to the opening change rate and the target opening interval in the feedback, and achieve stable execution of the flow rate adjustment stage by adjusting the instruction frequency. Then, compare the flow rate adjustment amplitude with the current path pressure value. If the flow rate curve forms a stable upward trend after the valve is opened and the pressure curve is within the regulation bandwidth range, mark this path as an activated complete path. In the example, if the conduction ratio of branch P04 is 78%, the opening response completes a 70% interval change within 0.5 seconds, and the instantaneous flow rate change in the feedback is 0.8 m / s, determine that it meets the activation conditions, and finally complete the execution instruction process of the above branch to generate standby path execution actions.

[0032] Please refer to Figure 1 and Figure 2 , the slow start path regulation module includes: Based on the slow start path connectivity status identification signal, the heat storage state extraction sub-module obtains the current temperature values of the heat storage tank, the hot water tank, and the heat energy management tank, records the conduction status of the path control channel, extracts the path numbers corresponding to the heat storage unit, and obtains the structural information corresponding to the heat storage path; First, read the set of path numbers currently marked as "connected" through the path status feedback channel, and lock the energy supply units associated with each path, so as to clarify the path channels controlled by the heat storage tank, hot water tank, and thermal energy management box respectively. Subsequently, collect the real-time temperature values of the three types of heat storage units, extract their corresponding number information and current temperature status, and record the temperature data corresponding to the current collection moment in the form of a time stamp. For example, when the paths corresponding to the heat storage tank number T01, hot water tank number T02, and management box number T03 are P11, P12, and P13 respectively, the temperature values recorded at the current time 09:15 are 61.4°C, 56.2°C, and 60.9°C respectively. At the same time, access the path conduction status through the controller interface, call the path instruction buffer in the path console to read the path switch signal record, confirm that paths P11 and P13 are in the conduction state, and P12 is not yet conducted. Extract the path number and the monitoring result of the heat transfer fluid and combine them into a control mapping table. Then, screen out the current effective paths and the corresponding heat storage unit numbers to construct a pairing list, compare whether the temperatures and path statuses of each paired unit are synchronously activated, identify the number combinations that meet the conditions that the path is in the conduction state and the heat source energy storage temperature is higher than the startup benchmark, complete the linkage of temperature data and channel information, and finally output the association information between the numbers corresponding to this group of heat storage paths and the control channels to obtain the corresponding structure information of the heat storage paths.

[0033] Based on the corresponding structure information of the heat storage paths, the path heat source screening sub-module obtains the time fluctuation trend of the return water temperature at the user end, marks the return water fluctuation amplitude under the path number, extracts the heat source temperature values in the paths in the heating state, calculates the attribution label of the return water fluctuation amplitude within the standard heat stability interval, and obtains the set of sustainable heating path labels; The specific calculation formula for the return water fluctuation amplitude is: ; Among them, represents the return water fluctuation amplitude of the path with the path number k, represents the return water temperature value of the path with the path number k at the u-th time point, represents the average value of the return water temperature values of the path with the path number k, represents the heat source temperature value of the path with the path number k at the u-th time point, represents the average value of the heat source temperature values of the path with the path number k, represents the disturbance factor value within the heating period of the path with the path number k at the u-th time point, represents the average value of the disturbance factors within the heating period of the path with the path number k, represents the total number of time points involved in the path with the path number k, represents the environmental reference temperature value corresponding to the time period of the path with the path number k; Assume the monitoring data is as follows: Return water temperature value sequence: ; Heat source temperature value sequence: ; Disturbance factor value sequence: ; Ambient reference temperature: ; The average value is calculated as follows: ; ; ; The calculation of each sub-item is as follows The first item: ; ; ; The second item: ; ; ; ; The third item: ; ; ; ; The sum of the numerators is: ; The final substitution calculation of the formula is: ; The result shows that the return water fluctuation range is 4.87%, indicating that the return water temperature of this path has a certain fluctuation under the influence of the heat source temperature and the disturbance factor during the monitoring period. After being normalized by the ambient temperature difference, this value is in the thermal stability range, indicating that this path has the characteristics of stable heat supply and can be used as a candidate for the sustainable heat supply path label.

[0034] Based on the set of sustainable heat supply path labels, the path combination execution sub-module extracts the path numbers that have been responded to in the current period, associates the heat storage source information with the valve control beat signal, sets the path trigger order in sequence, and obtains the slow start path connection state recognition signal; First, by reading the response records of each path in the path label set in the current cycle, identify the path numbers that have been activated and have response marks, and establish a list of responded path numbers according to the activation situation in the current cycle. Subsequently, retrieve the associated heat storage source attribute information item by item for each responded path number, including parameters such as the heat storage value of the corresponding heat storage unit, the allowed heat output flow rate, and the identification of the heat storage device to which it belongs. At the same time, extract the control beat signal array for the valve number associated with each path. This beat signal reflects the dynamic opening and closing of the valve in the set cycle. The beat information is sampled at a fixed frequency to form a fixed-length array. After completing the structured correspondence of the three types of data: path, heat storage source, and beat signal, establish the trigger order of path responses in sequence, initially arranged in the order of path responses. If the response times of multiple paths are the same, then judge the sequence of paths based on the heat storage value in the heat storage source attributes. If the heat storage is the same, then judge its priority according to the number of high-opening threshold points in the corresponding beat array. If they are the same again, then perform a sorting process on the path numbers to complete the order confirmation. Subsequently, arrange the control instructions triggered by each path into the queue to be executed according to the sorting result. The first path is set to be triggered immediately, and the remaining paths enter the queuing state in sequence. During the process of each path being executed one by one, compare the path trigger status feedback signal with the predetermined order list item by item to judge whether each path is responded in the established trigger sequence. When all paths are responded in sequence and there is no abnormal state of path missing or premature triggering in the middle, judge that the current path combination is in an effective slow start connection state, and obtain a slow start path connection state identification signal.

[0035] Please refer to Figure 1 and Figure 2 , the energy supply analysis module includes: Based on the slow start path connection state identification signal, the heat source state extraction sub-module collects the temperature data of the heat storage tank, hot water tank, and heat energy management tank, extracts the conduction state information corresponding to the path number, identifies the heat source paths in the heat output state, and summarizes the set of heat storage paths currently with output capacity to obtain a heat source path activation list; First, collect the temperature information of the heat storage tank, hot water tank, and thermal energy management box. Set the data collection time granularity to 10 seconds to ensure the continuity and stability of temperature data. After uniformly converting the temperature reading results of the three heat storage units into the standard unit format, list them in the main record array. Subsequently, extract the conduction status markers of each current heat storage path through the heat source path control platform. This marker indicates whether the path is in the heat output channel. By cross-comparing the binding relationship between the path number and the heat storage unit, establish a mapping table between the path number and the heat storage unit name. For example, number T12 corresponds to heat storage tank A1, and T15 corresponds to hot water tank B3. Then, identify the numbers with the conduction marker of "1" as the activated paths. In data screening, exclude the paths with temperatures less than 3% of the average value of the previous cycle to prevent misjudgment of effective output due to temperature fluctuations. Then, aggregate the data with valid temperature readings and conduction statuses among the remaining paths, arrange their path numbers in sequence, and form an index pairing array with the actual position parameters of the heat storage unit. On this basis, conduct a retrospective statistical analysis of the activation duration for each path. For example, if the continuous conduction time of path T12 exceeds 80% in the past 5 minutes, it is regarded as the path being in the heat output state. Finally, organize the set of path numbers that meet all the above conditions into an independent list and mark the path attributes to form a valid number set for subsequent heating process analysis, obtaining the heat source path activation list.

[0036] Based on the heat source path activation list, the path heat screening sub-module obtains the user-side return water temperature change record, identifies the overlapping interval between the fluctuation time period and the path number, constructs a matching relationship according to the heat source temperature and the number of conduction statuses corresponding to the path number, performs the division of the number by the number of heat sources, and extracts the equal-frequency pairing structure between the path and the heat source to obtain the path heat source grouping sequence. First, the path numbers that are in the heat output state are extracted. These numbers must be consistent with the conduction state records of the current heat storage device, and at the same time, the temperature fluctuations in the past continuous operation cycle must remain stable within a range of no more than 5%. Subsequently, the temperature change trend records of the hot water return outlet are collected in the user-side monitoring area, and the continuous time axis is divided into fixed period segments. The turning point information of the temperature curve is extracted in each segment. For example, every 10 minutes is set as an analysis segment, and the start and end times of the temperature rise and fall in each segment are identified to reflect the range of changes in the heat load of the hot water circuit. The path numbers are then compared with the start and end points of the fluctuation time period to find the path numbers that intersect in the time interval. Some numbers are marked and included in the effective matching path set of the current cycle. Next, a pairing index is established between the heat source number and the path number, and the heat storage temperature value and the number of conduction states corresponding to the path number are extracted. The number of path numbers is divided by the number of effective heat sources to obtain the number of paths required for each heat source. The corresponding number groups are allocated in batches according to the results, so that each group of heat source paths has a consistent distribution in quantity, forming an equal-frequency matching set of heat sources and paths. For example, numbers P03 and P06 form a group with heat source H1, and numbers P07 and P08 match heat source H2. Finally, all allocated number pairs are arranged and output according to the heat source mark and sequential number to obtain a path heat source group combination sequence.

[0037] The joint control sequence construction submodule extracts the response start interval of each path in the combination sequence based on the path heat source combination sequence, sorts and binds the response order of the path number, sets the heating sequence table and synchronously associates the output node status to obtain the intelligent heating path joint control status; Collect all path numbers in the combination and obtain the corresponding response trigger time, record the time delay value of each path from receiving the execution signal to the initial conduction, and calculate the starting interval of each path respectively. On this basis, extract the path with the shortest response delay in the same heating cycle as the reference path number, and then arrange the remaining paths in order from small to large according to the starting response delay, and construct a comparison mapping table between the path number and the response starting interval. At the same time, extract the corresponding information of the conduction node and the valve execution signal timing of each path, associate the energy supply beat state of the heat storage source and the output node, and set the beat state and the response sorting result in linkage as a control step reference table, and mark the linkage number of the node valve and the outlet flow monitoring point corresponding to each heating trigger operation in the table. In the process of setting the path trigger sequence, confirm whether there is a time overlap between the path response delay and the valve actuator drive logic. If so, insert a buffer empty frame and set the delay compensation instruction in the beat table. Combined with the linkage form content of the above path sorting, node number, output delay and compensation logic, a complete heating trigger sequence is constructed to obtain the intelligent heating path joint control state.

[0038] As the basis for the application of this invention, please refer to Figure 3and Figure 4 , further comprising a heat collection module, a heat storage module and an intelligent control module 8, characterized in that the heat collection module includes a solar silicon crystal tube, a heat-conducting liquid heat preservation circulation tank 4 and a heat-conducting tube arranged in the solar silicon crystal tube, the heat-conducting liquid heat preservation circulation tank 4 is connected to the solar silicon crystal tube through a pipeline, and the heat-conducting liquid heat preservation circulation tank 4 is filled with a heat-conducting liquid serving as a heat carrier, and the heat storage module is used for storing the heat energy absorbed by the solar silicon crystal tube.

[0039] The heat storage module includes an energy storage component and an electronic high-temperature circulation pump 5, the energy storage component is respectively connected to the solar silicon crystal tube and the user end through pipelines, two electronic high-temperature circulation pumps 5 are provided, one of the electronic high-temperature circulation pumps 5 is arranged on the pipeline between the energy storage component and the solar silicon crystal tube, and the other is arranged on the pipeline between the energy storage component and the user end.

[0040] The energy storage component includes a heat energy management tank 1, a first heat energy storage tank 2 and a second heat energy storage tank 3, and breathing valves are arranged on the heat energy management tank 1, the first heat energy storage tank 2 and the second heat energy storage tank 3.

[0041] In this embodiment, the energy storage component is used for storing the heat energy collected and transferred by the heat collection module. According to the scheme, three energy storage tanks are set (namely, the heat energy management tank 1, the first heat energy storage tank 2 and the second heat energy storage tank 3), breathing valves are set, two of which are heat energy storage tanks (namely, the first heat energy storage tank 2 and the second heat energy storage tank 3), and the other is a heat energy management tank 1. The high-temperature heat-conducting liquid first enters one of the energy storage tanks (the first heat energy storage tank 2 or the second heat energy storage tank 3). As the heat is stored to the target temperature of 90 °C, it automatically switches to the other energy storage tank until the target temperature is reached, forming a heat reserve; One of the electronic high-temperature circulation pumps 5 is installed on the pipeline between the heat collection module and the heat storage module. During the heat collection process, when the special heat-conducting liquid is heated and raised in temperature by the solar silicon crystal tube, the electronic high-temperature circulation pump 5 is started, and the high-temperature heat-conducting liquid is quickly pumped to the energy storage component for circulating heating; the other pumps the heat energy in the energy storage component to the user end to ensure that the system can continuously and stably supply heat energy.

[0042] The above is only a preferred embodiment of the present invention, and does not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical content of the technical solution of the present invention, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention still belong to the protection scope of the technical solution of the present invention.

Claims

1. A solar heat collection and storage system with intelligent regulation function, characterized in that: The system comprises: The heat collection state identification module obtains the temperature rise trend of the heat transfer fluid, analyzes the synchronization relationship with the thermal sensing state of the silicon crystal tube, retrieves the flow trajectory of the inlet section, identifies the heat source output and liquid propulsion state, and obtains the stable state of the heat collection response; The thermal pressure fluctuation diagnosis module collects the path node pressure data based on the stable state of the heat collection response, identifies the downward trend and matches the heat input cycle, classifies it as abnormal fluctuation of the main circulation, and obtains the main circulation path closure intention state; The branch switching control module selects the unused branches based on the main circulation path closure intention state, reads the valve and pump component states, replaces the paths in combination with the flow state and control response, and obtains the backup path execution action; The slow-start path control module executes actions based on the backup path, performs conduction and heat dissipation operations in sections, monitors flow continuity and heat flow trends, identifies that the path has formed a conduction process, and obtains a slow-start path connection state identification signal; The energy supply analysis module extracts the heat storage state and path on-off information based on the slow-start path connection state identification signal, and screens the executable path and heat source in combination with the hot return water fluctuation to obtain the intelligent heating path joint control state.

2. The solar heat collection and storage system with intelligent regulation function according to claim 1, characterized in that: The stable state of the thermal response includes a temperature continuous growth section, a heat input and temperature rise synchronization section, an inlet section flow direction matching section, and a heat source continuous release state identification result; the main circulation path closure intention state includes a mid-section pressure difference distribution trend, a thermal pressure fluctuation duration interval, a path scheduling execution state label, and a task cycle synchronization state; the backup path execution action includes a switchable branch number set, interconnection component status information, an alternative path trigger signal, and a valve and pump control sequence; the slow-start path interconnection state identification signal includes a mid- and end-section flow continuity label, heat flow conduction direction identification data, a temperature change trend record, and a continuous heat release sequence within the path; the intelligent heating path joint control state includes a path heating priority sequence, a target heat source matching record, a response rhythm control instruction set, and an energy supply trigger time sequence.

3. The solar heat collection and storage system with intelligent regulation function according to claim 1, wherein: The heat collection state identification module comprises: The temperature rise trend extraction submodule obtains the temperature value of the heat transfer fluid entering the initial section of the solar silicon tube heat collection section, extracts the temperature change records within a continuous time period, compares the change direction, screens the continuous rising section and identifies the continuity of the change, and obtains the consistency interval of the temperature rise trend; The synchronous response identification submodule extracts the start time and duration of the thermal response of the silicon transistor based on the consistency interval of the heating trend, compares the time relationship with the heating section, selects the overlapping time period, and obtains the thermal input synchronous matching section; The heat flow state discrimination submodule extracts the flow velocity direction and heat conduction direction of the heat transfer fluid inlet section based on the heat input synchronous matching section, retrieves the interruption or backflow of the flow process, and obtains the stable state of the heat collection response.

4. The solar heat collection and storage system with intelligent regulation function according to claim 1, characterized in that: The thermal pressure fluctuation diagnosis module comprises: The node pressure extraction submodule obtains the pressure measurement value of the heat collection path node based on the heat collection response stable state, extracts the position of the node in the path structure, identifies the state performance that the middle section pressure is continuously lower than the front and rear sections, selects the path section where the middle section pressure presents a downward direction, and obtains the path node pressure difference distribution interval; Based on the pressure difference distribution interval of the path nodes, the fluctuation trend recognition sub-module extracts the continuously decreasing path segments in the middle section, sums up the number of nodes in the whole path, calculates the ratio of the number to the total number of path nodes, judges the extension range of the pressure difference decreasing trend, and obtains the characteristics of the pressure difference sinking trend in the middle section; Based on the characteristics of the pressure difference sinking trend in the middle section, the cyclic association matching sub-module extracts the main cycle period and the heat input time period, analyzes the start and end times of the trend segment and the occurrence state of the heat input stage, and identifies the trend segment that has not been called out and is in the main task state in the current path, so as to obtain the closed intention state of the main cycle path.

5. The solar heat collection and storage system with intelligent regulation function according to claim 4, characterized in that: The specific calculation formula for the ratio of the number to the total number of path nodes is: ； Among them, represents the ratio of the quantity to the total number of path nodes, represents the number of nodes in the continuously descending path segment in the middle section, represents the total number of nodes in the whole path, represents the pressure value of the i-th node in the middle section, represents the average value of the pressures of the nodes in the middle section, represents the total absolute deviation between the pressures of the nodes in the middle section and the average value, represents the maximum pressure in the path, represents the minimum pressure in the path.

6. The solar heat collection and storage system with intelligent regulation function according to claim 1, characterized in that: The branch switching control module includes: Based on the closed intention state of the main cycle path, the path availability recognition sub-module extracts the current position of the standby path valve actuator and the flow state of the heat transfer fluid, and identifies the branch numbers that have not participated in the task in the current cycle, so as to obtain the set of branch callable paths; Based on the set of branch callable paths, the connection condition judgment sub-module extracts the connection segments, valve components and circulation pump connection information corresponding to each path, counts the number of path entries with connection response characteristics, calculates the ratio of the number in all callable paths, and combines the feedback state of the path structure to obtain the branch connection adaptation ratio interval; Based on the branch connection adaptation ratio interval, the control instruction execution sub-module identifies the path numbers that meet the connection conditions, pushes control instructions to the actuator, and generates the execution actions of the standby path.

7. The solar heat collection and storage system with intelligent regulation function according to claim 6, characterized in that: The specific calculation formula for the ratio of the number in all callable paths is: ； Among them, represents the proportion of the quantity in all callable paths, represents the number of paths determined to have connection response characteristics during the monitoring period, represents the number of activated connection segments in each response path, represents the number of normally closed valves in the i-th response path, represents the number of abnormally opened segments in the j-th callable path, represents the sum of the squares of the single response durations of the circulation pumps recorded in all response paths, represents the total number of all callable path entries, represents the average value of the total number of structural connection segments in each path, represents the average value of the number of successful feedbacks of valve control signals in the path set, represents the average value of the number of non-expected disconnection segments in the path set.

8. The solar heat collection and storage system with intelligent regulation function according to claim 1, characterized in that: The slow start path regulation module includes: Based on the slow start path connection state recognition signal, the heat storage state extraction sub-module obtains the current temperature values of the heat storage tank, hot water tank and thermal energy management tank, records the conduction state of the path control channel, and extracts the path numbers corresponding to the heat storage units to obtain the corresponding structure information of the heat storage path; Based on the corresponding structure information of the heat storage path, the path heat source screening sub-module obtains the time fluctuation trend of the return water temperature at the user end, marks the return water fluctuation amplitude under the path number, extracts the heat source temperature values in the paths in the heating state, calculates the return water fluctuation amplitude, and obtains the set of sustainable heating path labels for the attribution label in the standard heat stable interval; Based on the set of sustainable heating path labels, the path combination execution sub-module extracts the path numbers that have been responded in the current cycle, associates the heat storage source information with the valve control beat signal, and sets the path trigger order in sequence to obtain the slow start path connection state recognition signal.

9. The solar heat collection and storage system with intelligent regulation function according to claim 8, characterized in that: The specific calculation formula for the return water fluctuation amplitude is: ； Among them, represents the backwater fluctuation amplitude with path number k, represents the backwater temperature value of path number k at the u-th time point, represents the average value of the backwater temperature values of path number k, represents the heat source temperature value of path number k at the u-th time point, represents the average value of the heat source temperature values of path number k, represents the disturbance factor value during the heating period of path number k at the u-th time point, represents the average value of the disturbance factors during the heating period of path number k, represents the total number of time points involved in path number k, represents the ambient reference temperature value corresponding to the period of path number k.

10. The solar heat collection and storage system with intelligent regulation function according to claim 1, characterized in that: The energy supply analysis module includes: Based on the slow start path connection state recognition signal, the heat source state extraction sub-module collects the temperature data of the heat storage tank, hot water tank and thermal energy management tank, extracts the conduction state information corresponding to the path number, identifies the heat source paths in the heat output state, and sums up the set of heat storage paths with the current output capacity to obtain the heat source path activation list; Based on the heat source path activation list, the path heat screening sub-module obtains the record of the change in the return water temperature at the user end, identifies the overlapping interval between the fluctuation time period and the path number, constructs a matching relationship according to the heat source temperature and the number of conduction states corresponding to the path number, performs the division between the number and the number of heat sources, extracts the equal-frequency pairing structure between the path and the heat source, and obtains the path heat source grouping sequence; Based on the path heat source combination sequence, the joint control sequence construction sub-module extracts the response start interval of each path in the combination sequence, sorts and binds the response order of the path numbers, sets the heat supply order table and synchronously associates the output node status, and obtains the intelligent heat supply path joint control status.

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