Hydraulic condition optimization method for fluid distribution pipe network system

Abstract

This invention relates to the field of heating system control, and more particularly to a method for optimizing the hydraulic conditions of a fluid distribution network system. The method includes: a data acquisition unit for continuously monitoring demand data for a target network; a data analysis unit for analyzing the effectiveness of sub-heating data acquired by the data acquisition unit, determining the effectiveness of a secondary effective data point based on the opening degree difference corresponding to a single secondary effective data point, and determining a reference temperature calculation formula for the sub-heating data based on the difference in effective data volume and the difference status; a coefficient generation unit for determining a resistance reference area and obtaining the optimal resistance coefficient based on the aggregation degree of the sub-region; and a differential pressure control unit for determining the pump differential pressure based on the current network flow rate and the current monitoring cycle, and determining the adjustment mode and degree of the pump differential pressure based on the network flow rate. This invention improves the accuracy of achieving adaptive control of the pump with variable differential pressure.

Description

Technical Field

[0001] This invention relates to the field of heating system control, and more particularly to a method for optimizing the hydraulic conditions of a fluid transmission and distribution network system. Background Technology

[0002] A fluid distribution network system is a network composed of pipes, valves, pumping stations, instruments, etc., used to transport and distribute liquids to different points of use or equipment. The design and operation of a fluid distribution network system requires comprehensive consideration of factors such as liquid properties, transport distance, expected flow rate, and pressure requirements. However, in practical applications, heating systems are affected by the heating pipelines. Because the temperature at the end of the fluid distribution network differs significantly from the preset temperature of the heating network, it causes considerable inconvenience to the users. Therefore, how to quickly and accurately control hydraulic conditions while ensuring heating efficiency is a problem that technicians urgently need to solve.

[0003] Chinese Patent Publication No. CN115076766A discloses an operation method for hydraulic balance of a heating network, including: establishing a primary distributed heating distribution system; a network-wide distributed distribution scheme; the establishment of the primary distributed heating distribution system includes: determining the zero-pressure point; hydraulic condition analysis of the heating system; and operation adjustment; the network-wide distributed distribution scheme includes: determining the zero-pressure point; hydraulic condition analysis of the heating system; and operation adjustment. By setting up a control platform based on data acquisition, consisting of distributed circulating water pumps, wireless pressure sensors, a remote transmission system, and a remote data management system, the pump operating frequency is automatically adjusted according to changes in outdoor heat load, resulting in variable flow rate regulation. Therefore, this operation method for hydraulic balance of a heating network discloses the automatic adjustment of pump operating frequency and variable flow rate regulation according to changes in outdoor heat load. However, it has the following problems: the heating end is affected by the heating end's regulation, the valve state changes continuously, and the heating end connected to the system changes in different cycles, leading to changes in the network's resistance coefficient and the system's circulating flow rate, resulting in hydraulic instability. Summary of the Invention

[0004] To achieve the above objectives, the present invention provides a hydraulic condition optimization method for a fluid transmission and distribution pipeline system, which overcomes the problem in the prior art where the heating end is affected by the heating end's regulation, resulting in changes in the pipeline's resistance coefficient and system circulation flow, leading to hydraulic instability.

[0005] Therefore, the present invention provides a method for optimizing the hydraulic conditions of a fluid transmission and distribution pipeline network system, comprising:

[0006] S1, the data acquisition unit continuously monitors demand data for the target pipeline network;

[0007] S2, the data analysis unit performs validity analysis on the sub-heating data corresponding to a single heating end collected by the data acquisition unit within a single monitoring cycle to determine the primary and secondary valid data;

[0008] S3, determine the calculation method for the reference temperature based on the difference in the number of primary and secondary valid data within a single monitoring cycle, and calculate the reference temperature for a single monitoring cycle;

[0009] S4. Establish a two-dimensional coordinate system with the horizontal axis as the reference temperature and the vertical axis as the valve opening ratio. Establish a reference region and divide the reference region into several sub-regions according to the quartering method. Calculate the data aggregation degree of each sub-region and record the sub-region corresponding to the maximum aggregation degree as the resistance reference region.

[0010] S5, extract the pipeline flow rate of each data point in the resistance reference area for the monitoring period. If the pipeline flow rate stability of a single data point in the monitoring period is within the preset flow rate stability range, the average pipeline flow rate of that monitoring period is recorded as the effective flow rate.

[0011] S6, extract the effective flow rate of each individual monitoring cycle and the average pipeline pressure difference corresponding to the effective flow rate of that individual monitoring cycle to calculate the optimal resistance coefficient for that individual monitoring cycle;

[0012] S7. When the target pipeline is running, the differential pressure control unit determines the pump differential pressure based on the current pipeline flow rate and the optimal resistance coefficient of the monitoring cycle to which the current time belongs, and determines whether to adjust the pump differential pressure based on the preset flow threshold range of the pipeline flow rate.

[0013] The required information includes the valve opening degree at the heating end, the total number of valves at all heating ends, the valve opening duration at the heating end, the indoor temperature at the heating end, the pipeline flow rate, and the pipeline pressure differential.

[0014] Furthermore, under the first data analysis condition, the data analysis unit sequentially performs effectiveness analysis on the sub-heating data collected by the data acquisition unit;

[0015] If the sub-heating data is in the first sub-heating valid state, the data analysis unit determines that the sub-heating data is invalid;

[0016] If the sub-heating data is in the second sub-heating effective state, the data analysis unit determines that the sub-heating data is secondary effective data and calculates the effectiveness of the secondary effective data;

[0017] If the sub-heating data is in the second sub-heating effective state, the data analysis unit determines that the sub-heating data is first-level effective data;

[0018] The first sub-heating effective state is when the valve opening degree is less than the preset valve opening degree and the total valve opening time is less than the preset opening time within a single cycle; the second sub-heating statistical state is when the valve opening degree is less than the preset valve opening degree and the total valve opening time is greater than or equal to the preset total opening time within a single cycle; the third sub-heating statistical state is when the valve opening degree is greater than or equal to the preset valve opening degree and the total valve opening time is greater than or equal to the preset total opening time within a single cycle.

[0019] The first data analysis condition is the end of a single monitoring cycle.

[0020] Furthermore, under the second data analysis condition, the data analysis unit determines the validity of the secondary valid data based on the opening degree difference corresponding to a single secondary valid data.

[0021] The difference in openness is negatively correlated with the validity of the secondary valid data;

[0022] Among them, the validity of the secondary valid data is less than the maximum validity, the opening degree difference is the value obtained by subtracting the valve opening degree from the preset valve opening degree, and the second data analysis condition is that there is sub-heating data in the second sub-heating valid state.

[0023] Furthermore, the data analysis unit determines the reference temperature based on the difference in effective data volume under the third data analysis condition;

[0024] If the difference in the amount of valid data is in the first preset difference state, the data analysis unit determines to use the first reference temperature calculation method;

[0025] If the difference in the amount of valid data is in the second preset difference state, the data analysis unit determines to use the second reference temperature calculation method;

[0026] If the difference in the amount of valid data is in the third preset difference state, the data analysis unit determines to use the third reference temperature calculation method;

[0027] The first preset difference state is when the number of valid data at level 1 is greater than the number of valid data at level 2 and the difference in the amount of valid data is greater than the preset difference in the amount of valid data; the second preset difference state is when the number of valid data at level 2 is greater than the number of valid data at level 1 and the difference in the amount of valid data is greater than the preset difference in the amount of valid data; the third preset difference state is when the difference in the amount of valid data is less than or equal to the preset difference in the amount of valid data; and the third data analysis condition is that the validity of the valid data at level 2 has been determined.

[0028] Furthermore, under the fourth data analysis condition, the data analysis unit determines the calculation formula for the reference temperature of the sub-heating data within a single cycle based on the difference between the number of primary effective data and the number of secondary effective data.

[0029] If the first preset difference state is reached, the data analysis unit determines to calculate the reference temperature using the first reference temperature formula, denoted as T01. The first reference temperature formula... Where α1 is the maximum validity, α2 is the validity of the second-level valid data, 0 < α2 < 0.5 < α1 < 1, α1 = 1 - α2, T1i is the temperature of the user end corresponding to the i-th first-level valid data, T2u is the temperature of the user end corresponding to the u-th second-level valid data, i = 0, 1, 2, 3, ..., imax, imax is the total number of first-level valid data, and imax is the total number of second-level valid data.

[0030] If the second preset difference state is reached, the data analysis unit determines the reference temperature using the second reference temperature formula, denoted as T02. The second reference temperature formula...

[0031] The fourth data analysis condition is that the difference in the amount of effective data is greater than a preset difference in the amount of effective data.

[0032] Furthermore, under the fifth data analysis condition, the data analysis unit determines the reference temperature formula based on the average temperature of the secondary effective data;

[0033] If the average temperature of the secondary effective data is less than the preset effective temperature, the first reference temperature formula shall be used.

[0034] If the average temperature of the secondary effective data is greater than or equal to the preset effective temperature, the second reference temperature formula shall be used.

[0035] The fifth data analysis condition is that the difference in effective data volume is less than or equal to a preset difference in effective data volume.

[0036] Furthermore, the coefficient generation unit establishes a two-dimensional coordinate region under the first coefficient generation condition. The horizontal axis of the two-dimensional coordinate system is the reference temperature of the monitoring cycle, and the vertical axis of the two-dimensional coordinate system is the valve opening ratio of the monitoring cycle. A reference region is established, which is a rectangular region. The maximum value of the horizontal coordinate of the reference region is the maximum value of the reference temperature corresponding to the monitoring cycle, and the maximum value of the vertical coordinate of the reference region is the maximum value of the valve opening ratio corresponding to the monitoring cycle. The minimum values ​​of the horizontal and vertical coordinates of the reference region are both 0. The horizontal side of the reference region is parallel to the horizontal side of the two-dimensional coordinate system, and the vertical side of the reference region is parallel to the vertical side of the two-dimensional coordinate system. The reference region is divided into 9 sub-regions, and the data aggregation degree of the 9 sub-regions is calculated. The sub-region corresponding to the maximum aggregation degree detected is recorded as the resistance reference region.

[0037] The formula for calculating the aggregation degree Qz of the z-th sub-region is:

[0038]

[0039] Where Cz is the number of data points in the z-th sub-region, z = 1, 2, 3, ..., 9;

[0040] The method for determining the reference temperature for each cycle is selected as the condition for generating the first coefficient.

[0041] Furthermore, the coefficient generation unit extracts the pipeline flow rate of each data point within the resistance reference area during the monitoring period under the second coefficient generation condition to determine the optimal resistance coefficient.

[0042] If the pipeline flow stability of a single data point in a monitoring period is within a preset flow stability range, the coefficient generation unit determines that the average pipeline flow of that monitoring period is recorded as the effective flow; the optimal resistance coefficient Sc corresponding to each single monitoring period is calculated based on the effective flow of each single monitoring period and the average pipeline pressure difference corresponding to the effective flow of the single monitoring period.

[0043] The formula for calculating the resistance coefficient Sc for a single monitoring cycle is as follows:

[0044]

[0045] ΔPc is the average pipeline pressure difference corresponding to the effective flow rate in the c-th monitoring period; Gc is the effective flow rate in the c-th monitoring period;

[0046] The second coefficient is generated based on the resistance reference area determined during the monitoring period.

[0047] Furthermore, the differential pressure control unit determines the pump differential pressure based on the current pipeline flow rate and the monitoring cycle to which the current time belongs under the first differential pressure control condition;

[0048] The formula for calculating the pump pressure difference is ΔP=Sc×G;

[0049] Where Sc is the optimal resistance coefficient corresponding to the monitoring cycle at the current moment; G is the current pipeline flow rate;

[0050] Among them, the first differential pressure control condition is that the optimal resistance coefficient for the monitoring cycle has been determined.

[0051] Furthermore, under the second differential pressure control condition, the differential pressure control unit determines whether to adjust the pump differential pressure based on the pipeline flow rate;

[0052] If the pipeline flow rate is within the first preset flow rate range, the differential pressure control unit determines that the pump differential pressure does not need to be adjusted.

[0053] If the pipeline flow rate is within the second preset flow range, the differential pressure control unit determines that the pump differential pressure adjustment mode adopts the increase adjustment mode.

[0054] If the pipeline flow rate is within the third preset flow range, the differential pressure control unit determines that the pump differential pressure adjustment mode adopts the reduction adjustment mode.

[0055] The values ​​within the first preset flow range are all greater than the minimum effective flow rate of each monitoring period and less than the maximum effective flow rate of each monitoring period; the values ​​within the second preset flow range are all greater than the maximum effective flow rate of each monitoring period; and the values ​​within the third preset flow range are all less than the minimum effective flow rate of each monitoring period.

[0056] The absolute values ​​of the pump pressure differential adjustment and the flow rate difference are positively correlated; if the pipeline flow rate is within the second preset flow rate range, the flow rate difference is the pipeline flow rate minus the maximum effective flow rate of each monitoring cycle; if the pipeline flow rate is within the third preset flow rate range, the flow rate difference is the minimum effective flow rate of each monitoring cycle minus the pipeline flow rate.

[0057] The second differential pressure control condition is the completion of the determination of the water pump differential pressure.

[0058] Compared with the prior art, the beneficial effects of the present invention are as follows: by performing validity analysis on the sub-heating data acquired by the data acquisition unit, invalid sub-heating data is eliminated, thereby improving the validity of the data; different reference temperature calculation methods are determined according to the number and status of heating terminals with different heating needs, thereby improving the accuracy of the judgment results; the resistance reference area is determined according to the distribution of sub-heating data status and the optimal resistance coefficient for a single cycle is calculated; and the water pump pressure difference is determined according to the current pipeline flow rate to determine the monitoring cycle and adjust the water pump pressure difference according to the actual application scenario, thereby improving the application efficiency of the present invention.

[0059] Furthermore, under the first data analysis condition, the data analysis unit of the present invention sequentially performs validity analysis on the sub-heating data collected by the data acquisition unit, thereby reflecting the valve usage within the heating period, further reducing the impact of invalid sub-heating data on the accuracy of subsequent reference temperature determination of the present invention, and improving the data processing efficiency of the present invention.

[0060] Furthermore, the method for determining the reference temperature based on the difference in effective data volume under the third data analysis condition described in this invention reflects the quantity status of heating terminals with different heating needs based on the data volume status of the secondary and primary data, thereby making the method for determining the reference temperature more in line with actual application scenarios and improving the practicality of the technical solution of this invention and the accuracy of the determination results.

[0061] Furthermore, in this invention, the data analysis unit determines a reference temperature formula based on the average temperature of the secondary effective data under the fifth data analysis condition. By comparing the average temperature of the secondary effective data with the preset effective temperature, the heating demand of the user end is further accurately reflected to select the corresponding reference temperature formula, thereby improving the accuracy of the determination result of this invention.

[0062] Furthermore, the differential pressure control unit described in this invention determines the adjustment mode and degree of differential pressure adjustment of the water pump based on the pipeline flow rate, making the differential pressure adjustment of the water pump more in line with actual application scenarios. Combined with the flow rate change, it realizes adaptive control of the water pump with variable differential pressure, thereby improving the application efficiency of this invention. Attached Figure Description

[0063] Figure 1 This is a schematic diagram of the hydraulic condition optimization method for a fluid transmission and distribution pipeline network system according to an embodiment of the present invention;

[0064] Figure 2 This is a unit connection diagram of the hydraulic condition optimization method for a fluid transmission and distribution pipeline network system according to an embodiment of the present invention;

[0065] Figure 3 This is a resistance reference region diagram for the hydraulic condition optimization method of the fluid transmission and distribution pipeline network system according to an embodiment of the present invention;

[0066] In the figure: 1, first quantile of temperature; 2, third quantile of temperature; 3, third quantile of valve opening ratio; 4, first quantile of valve opening ratio; 5, resistance reference area; 6, data point; 7, horizontal edge of the reference area; 8, vertical edge of the reference area. Detailed Implementation

[0067] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0068] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0069] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0070] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0071] Please see Figures 1 to 2 As shown, the present invention provides a method for optimizing the hydraulic conditions of a fluid transmission and distribution pipeline network system, comprising:

[0072] S1, the data acquisition unit continuously monitors demand data for the target pipeline network;

[0073] S2, the data analysis unit performs validity analysis on the sub-heating data corresponding to a single heating end collected by the data acquisition unit within a single monitoring cycle to determine the primary and secondary valid data;

[0074] S3, determine the calculation method for the reference temperature based on the difference in the number of primary and secondary valid data within a single monitoring cycle, and calculate the reference temperature for a single monitoring cycle;

[0075] S4. Establish a two-dimensional coordinate system with the horizontal axis as the reference temperature and the vertical axis as the valve opening ratio. Establish a reference region and divide the reference region into several sub-regions according to the quartering method. Calculate the data aggregation degree of each sub-region and record the sub-region corresponding to the maximum aggregation degree as the resistance reference region.

[0076] S5, extract the pipeline flow rate of each data point in the resistance reference area for the monitoring period. If the pipeline flow rate stability of a single data point in the monitoring period is within the preset flow rate stability range, the average pipeline flow rate of that monitoring period is recorded as the effective flow rate.

[0077] S6, extract the effective flow rate of each individual monitoring cycle and the average pipeline pressure difference corresponding to the effective flow rate of that individual monitoring cycle to calculate the optimal resistance coefficient for that individual monitoring cycle;

[0078] S7. When the target pipeline is running, the differential pressure control unit determines the pump differential pressure based on the current pipeline flow rate and the optimal resistance coefficient of the monitoring cycle to which the current time belongs, and determines whether to adjust the pump differential pressure based on the preset flow threshold range of the pipeline flow rate.

[0079] The required information includes the valve opening degree at the heating end, the total number of valves at all heating ends, the valve opening duration at the heating end, the indoor temperature at the heating end, the pipeline flow rate, and the pipeline pressure differential.

[0080] The data acquisition unit includes an angle measuring instrument for acquiring valve opening degree, a timer for acquiring valve opening duration, a temperature detection device for acquiring the temperature at the end of the fluid distribution pipeline, and a flow meter for acquiring pipeline flow rate. The sub-heating data consists of the valve opening degree and valve start duration corresponding to a single heating end in a single cycle. The data acquisition unit has a cyclic monitoring cycle, which includes 24 monitoring cycles, each lasting 1 hour. At the end of each monitoring cycle, the data acquisition unit sequentially transmits the acquired sub-heating data to the data analysis unit. When the 24th monitoring cycle ends, the data acquisition unit waits for a preset standby time to restart the cycle. The information collection cycle for the heating end is preset with a standby time that can be determined based on the actual application scenario, but should be greater than 48 hours. The time period corresponding to the c-th monitoring cycle is from point c-1 to point c. For example, the time period corresponding to the 3rd monitoring cycle is from point 2 to point 3. The valve opening ratio is the sum of the total number of valves opened at all heating ends in a single cycle and the total number of valves at all heating ends. The pipeline pressure difference data of a single heating end is collected L times in a single monitoring cycle. The average of the pipeline pressure difference data of all heating ends obtained in a single monitoring cycle is the average pipeline pressure difference. L is greater than 5 and less than 12. The interval between the collection of pipeline pressure difference data of a single heating end is greater than 1 minute and less than 5 minutes. The pipeline pressure difference is the value obtained by subtracting the total pressure of the water flow at the inlet of the heating network from the total pressure of the water flow at the outlet of the heating network in a single monitoring cycle.

[0081] Specifically, the data analysis unit performs effectiveness analysis on the sub-heating data collected by the data acquisition unit in sequence under the first data analysis condition;

[0082] If the sub-heating data is in the first sub-heating valid state, the data analysis unit determines that the sub-heating data is invalid;

[0083] If the sub-heating data is in the second sub-heating effective state, the data analysis unit determines that the sub-heating data is secondary effective data and calculates the effectiveness of the secondary effective data;

[0084] If the sub-heating data is in the second sub-heating effective state, the data analysis unit determines that the sub-heating data is first-level effective data;

[0085] The first sub-heating effective state is when the valve opening degree is less than the preset valve opening degree and the total valve opening time is less than the preset opening time within a single cycle; the second sub-heating statistical state is when the valve opening degree is less than the preset valve opening degree and the total valve opening time is greater than or equal to the preset total opening time within a single cycle; the third sub-heating statistical state is when the valve opening degree is greater than or equal to the preset valve opening degree and the total valve opening time is greater than or equal to the preset total opening time within a single cycle.

[0086] The first data analysis condition is the end of a single monitoring cycle.

[0087] The sub-heating data includes the valve opening degree and total valve opening time of a single heating end within a single monitoring cycle. The valve opening degree is the maximum degree of valve opening of a single heating end within a single monitoring cycle, and the unit of valve opening degree is %. The preset valve opening degree is 50%. The preset opening time is 50% of the duration of a single monitoring cycle. The valid data includes primary valid data and secondary valid data.

[0088] Specifically, the data analysis unit determines the validity of a second-level valid data based on the opening degree difference corresponding to a single second-level valid data under the second data analysis condition;

[0089] The difference in openness is negatively correlated with the validity of the secondary valid data;

[0090] Among them, the validity of the secondary valid data is less than the maximum validity, the opening degree difference is the value obtained by subtracting the valve opening degree from the preset valve opening degree, and the second data analysis condition is that there is sub-heating data in the second sub-heating valid state.

[0091] When the valve opening degree of a single heating terminal is less than the preset valve opening degree within a single monitoring cycle, the larger the difference in opening degree, the lower the heating demand of the corresponding heating terminal, and the lower the validity of the sub-heating data corresponding to that heating terminal.

[0092] Specifically, the data analysis unit determines the reference temperature based on the difference in effective data volume under the third data analysis condition;

[0093] If the difference in the amount of valid data is in the first preset difference state, the data analysis unit determines to use the first reference temperature calculation method;

[0094] If the difference in the amount of valid data is in the second preset difference state, the data analysis unit determines to use the second reference temperature calculation method;

[0095] If the difference in the amount of valid data is in the third preset difference state, the data analysis unit determines to use the third reference temperature calculation method;

[0096] The first preset difference state is when the number of valid data at level 1 is greater than the number of valid data at level 2 and the difference in the amount of valid data is greater than the preset difference in the amount of valid data; the second preset difference state is when the number of valid data at level 2 is greater than the number of valid data at level 1 and the difference in the amount of valid data is greater than the preset difference in the amount of valid data; the third preset difference state is when the difference in the amount of valid data is less than or equal to the preset difference in the amount of valid data; and the third data analysis condition is that the validity of the valid data at level 2 has been determined.

[0097] The effective data volume difference is the absolute value obtained by subtracting the number of secondary effective data from the number of primary effective data; the preset effective data volume difference is 20% of the total number of primary and secondary effective data.

[0098] Specifically, under the fourth data analysis condition, the data analysis unit determines the calculation formula for the reference temperature of the sub-heating data within a single cycle based on the difference between the number of primary effective data and the number of secondary effective data.

[0099] If the first preset difference state is reached, the data analysis unit determines to calculate the reference temperature using the first reference temperature formula, denoted as T01. The first reference temperature formula... Where α1 is the maximum validity, α2 is the validity of the second-order valid data, 0 < α2 < 0.5 < α1 < 1, α1 = 1 - α2, T 1i T represents the temperature of the warm end corresponding to the i-th valid first-level data point. 2u Let i be the warm end temperature corresponding to the uth second-level valid data, i = 0, 1, 2, 3, ..., imax, where imax is the total number of first-level valid data and umax is the total number of second-level valid data.

[0100] If the second preset difference state is reached, the data analysis unit determines the reference temperature using the second reference temperature formula, denoted as T02. The second reference temperature formula...

[0101] The fourth data analysis condition is that the difference in the amount of effective data is greater than a preset difference in the amount of effective data.

[0102] Specifically, the data analysis unit determines the reference temperature formula based on the average temperature of the secondary effective data under the fifth data analysis condition;

[0103] If the average temperature of the secondary effective data is less than the preset effective temperature, the first reference temperature formula shall be used.

[0104] If the average temperature of the secondary effective data is greater than or equal to the preset effective temperature, the second reference temperature formula shall be used.

[0105] The fifth data analysis condition is that the difference in effective data volume is less than or equal to a preset difference in effective data volume.

[0106] The average temperature of the secondary valid data is The preset effective temperature is the average of the sum of T02 values ​​in historical usage records.

[0107] Please see Figure 3 As shown, it is a resistance reference area diagram of the hydraulic condition optimization method for the fluid transmission and distribution pipeline network system according to an embodiment of the present invention;

[0108] Specifically, the coefficient generation unit establishes a two-dimensional coordinate region under the first coefficient generation condition. The horizontal axis of the two-dimensional coordinate system is the reference temperature of the monitoring cycle, and the vertical axis of the two-dimensional coordinate system is the valve opening ratio of the monitoring cycle. A reference region is established, which is a rectangular region. The maximum value of the horizontal coordinate of the reference region is the maximum value of the reference temperature corresponding to the monitoring cycle, and the maximum value of the vertical coordinate of the reference region is the maximum value of the valve opening ratio corresponding to the monitoring cycle. The minimum values ​​of the horizontal and vertical coordinates of the reference region are both 0. The horizontal side 7 of the reference region is parallel to the horizontal side of the two-dimensional coordinate system, and the vertical side 8 of the reference region is parallel to the vertical side of the two-dimensional coordinate system. The reference region is divided into 9 sub-regions, and the data aggregation degree of the 9 sub-regions is calculated. The sub-region corresponding to the maximum aggregation degree detected is recorded as the resistance reference region 5.

[0109] The formula for calculating the aggregation degree Qz of the z-th sub-region is:

[0110]

[0111] Where Cz is the number of data points 6 in the z-th sub-region, z = 1, 2, 3, ..., 9;

[0112] The method for determining the reference temperature for each cycle is selected as the condition for generating the first coefficient.

[0113] The method for dividing the resistance reference region 5 using the four-part division is as follows: All reference temperature data for a single monitoring cycle are arranged in ascending order to obtain a temperature data set. The maximum value within the 25% of the total temperature data set (less than or equal to the total temperature data set) is recorded as the first quantile 1, and the minimum value within the 75% of the total temperature data set (greater than or equal to the total temperature data set) is recorded as the third quantile 2. Similarly, all valve opening ratio data for a single monitoring cycle are arranged in ascending order to obtain a valve opening ratio data set. The maximum value within the 25% of the total valve opening ratio data set (less than or equal to the total valve opening ratio data set) is recorded as the first quantile 4, and the minimum value within the 75% of the total valve opening ratio data set (greater than or equal to the total valve opening ratio data set) is recorded as the third quantile 3. The first quantile 1, the third quantile 2, the first quantile 4, and the third quantile 3 divide the reference region into 9 sub-regions. The number of data points 6 in each sub-region represents the degree of aggregation in the corresponding region. The region with the highest aggregation is obtained by comparing the data aggregation of the 9 sub-regions and is denoted as the resistance reference region 5. Each data point 6 corresponds to the reference temperature and valve opening ratio of a single monitoring cycle.

[0114] Specifically, the coefficient generation unit extracts the pipeline flow rate of each data point 6 in the resistance reference area 5 to the monitoring period under the second coefficient generation condition to determine the optimal resistance coefficient.

[0115] If the pipeline flow stability of a single data point 6 within a monitoring period is within a preset flow stability range, the coefficient generation unit determines that the average pipeline flow of that monitoring period is recorded as the effective flow; the optimal resistance coefficient Sc corresponding to each single monitoring period is calculated based on the effective flow of each single monitoring period and the average pipeline pressure difference corresponding to the effective flow of the single monitoring period.

[0116] The formula for calculating the resistance coefficient Sc for a single monitoring cycle is as follows:

[0117]

[0118] ΔPc is the average pipeline pressure difference corresponding to the effective flow rate in the c-th monitoring period; Gc is the effective flow rate in the c-th monitoring period, where c = 1, 2, 3, ..., 24;

[0119] The second coefficient is generated based on the resistance reference area determined during the monitoring period.

[0120] The formula for calculating the flow stability W in a single cycle is:

[0121]

[0122] Dmax represents the maximum flow rate at the outlet of the heating network within a single monitoring period, and Dmin represents the minimum flow rate at the outlet of the heating network within a single monitoring period. The sum of the pipeline flow rate of all heating terminals within a single cycle, k = 0, 1, 2, 3, ..., t, where t is the total number of heating terminals with valves open within a single monitoring cycle; the preset flow stability range is determined according to the actual application scenario, and an initial value for the preset flow stability range is provided, wherein the value within the preset flow stability range is greater than or equal to 0 and less than 0.3.

[0123] The average flow rate of a single heating terminal within a single monitoring cycle is recorded as the pipeline flow rate of a single heating terminal within a single monitoring cycle. The flow rate of a single heating terminal is collected H times in a single monitoring cycle, and the average of all the obtained values ​​is the average flow rate. The specific value of H can be determined according to the duration of the monitoring cycle in the actual application scenario. The longer the monitoring cycle, the larger the value of H. This provides an implementable method where the duration of a single monitoring cycle is 1 hour, the value of H is 12 times, and pipeline flow rate data is collected once every 5 minutes.

[0124] Specifically, the differential pressure control unit determines the pump differential pressure based on the current pipeline flow rate and the monitoring cycle to which the current time belongs under the first differential pressure control condition;

[0125] The formula for calculating the pump pressure difference is ΔP=Sc×G;

[0126] Where Sc is the optimal resistance coefficient corresponding to the monitoring cycle at the current moment; G is the current pipeline flow rate;

[0127] Among them, the first differential pressure control condition is that the optimal resistance coefficient for the monitoring cycle has been determined.

[0128] Specifically, the differential pressure control unit determines whether to adjust the pump differential pressure based on the pipeline flow rate under the second differential pressure control condition;

[0129] If the pipeline flow rate is within the first preset flow rate range, the differential pressure control unit determines that the pump differential pressure does not need to be adjusted.

[0130] If the pipeline flow rate is within the second preset flow range, the differential pressure control unit determines that the pump differential pressure adjustment mode adopts the increase adjustment mode.

[0131] If the pipeline flow rate is within the third preset flow range, the differential pressure control unit determines that the pump differential pressure adjustment mode adopts the reduction adjustment mode.

[0132] The values ​​within the first preset flow range are all greater than the minimum effective flow rate of each monitoring period and less than the maximum effective flow rate of each monitoring period; the values ​​within the second preset flow range are all greater than the maximum effective flow rate of each monitoring period; and the values ​​within the third preset flow range are all less than the minimum effective flow rate of each monitoring period.

[0133] The absolute values ​​of the pump pressure differential adjustment and the flow rate difference are positively correlated; if the pipeline flow rate is within the second preset flow rate range, the flow rate difference is the pipeline flow rate minus the maximum effective flow rate of each monitoring cycle; if the pipeline flow rate is within the third preset flow rate range, the flow rate difference is the minimum effective flow rate of each monitoring cycle minus the pipeline flow rate.

[0134] The second differential pressure control condition is the completion of the determination of the water pump differential pressure.

[0135] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0136] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method of hydraulic operating condition optimization of a fluid distribution network system, characterized in that, include: S1, the data acquisition unit continuously monitors demand data for the target pipeline network; S2, the data analysis unit performs validity analysis on the sub-heating data corresponding to a single heating end collected by the data acquisition unit within a single monitoring cycle to determine the primary and secondary valid data; S3, determine the calculation method for the reference temperature based on the difference in the number of primary and secondary valid data within a single monitoring cycle, and calculate the reference temperature for a single monitoring cycle; S4. Establish a two-dimensional coordinate system with the horizontal axis as the reference temperature and the vertical axis as the valve opening ratio. Establish a reference region and divide the reference region into several sub-regions according to the quartering method. Calculate the data aggregation degree of each sub-region and record the sub-region corresponding to the maximum aggregation degree as the resistance reference region. S5, extract the pipeline flow rate of each data point in the resistance reference area for the monitoring period. If the pipeline flow rate stability of a single data point in the monitoring period is within the preset flow rate stability range, the average pipeline flow rate of that monitoring period is recorded as the effective flow rate. S6, extract the effective flow rate of each individual monitoring cycle and the average pipeline pressure difference corresponding to the effective flow rate of that individual monitoring cycle to calculate the optimal resistance coefficient for that individual monitoring cycle; S7. When the target pipeline is running, the differential pressure control unit determines the pump differential pressure based on the current pipeline flow rate and the optimal resistance coefficient of the monitoring cycle to which the current time belongs, and determines whether to adjust the pump differential pressure based on the preset flow threshold range of the pipeline flow rate. The required information includes the valve opening degree at the heating end, the total number of valves at all heating ends, the valve opening duration at the heating end, the indoor temperature at the heating end, the pipeline flow rate, and the pipeline pressure differential. The data analysis unit performs effectiveness analysis on the sub-heating data collected by the data acquisition unit in sequence under the first data analysis condition; If the sub-heating data is in the first sub-heating valid state, the data analysis unit determines that the sub-heating data is invalid; If the sub-heating data is in the second sub-heating effective state, the data analysis unit determines that the sub-heating data is secondary effective data and calculates the effectiveness of the secondary effective data; If the sub-heating data is in the third sub-heating effective state, the data analysis unit determines that the sub-heating data is first-level effective data; The first sub-heating effective state is when the valve opening degree is less than the preset valve opening degree and the total valve opening time is less than the preset opening time within a single cycle; the second sub-heating statistical state is when the valve opening degree is less than the preset valve opening degree and the total valve opening time is greater than or equal to the preset total opening time within a single cycle; the third sub-heating statistical state is when the valve opening degree is greater than or equal to the preset valve opening degree and the total valve opening time is greater than or equal to the preset total opening time within a single cycle. The first data analysis condition is the end of a single monitoring cycle; The data analysis unit determines the reference temperature based on the difference in effective data volume under the third data analysis condition; If the difference in the amount of valid data is in the first preset difference state, the data analysis unit determines to use the first reference temperature calculation method; If the difference in the amount of valid data is in the second preset difference state, the data analysis unit determines to use the second reference temperature calculation method; If the difference in the amount of valid data is in the third preset difference state, the data analysis unit determines to use the third reference temperature calculation method; Wherein, the first preset difference state is when the number of first-level valid data is greater than the number of second-level valid data and the difference in the amount of valid data is greater than the preset difference in the amount of valid data; the second preset difference state is when the number of second-level valid data is greater than the number of first-level valid data and the difference in the amount of valid data is greater than the preset difference in the amount of valid data; the third preset difference state is when the difference in the amount of valid data is less than or equal to the preset difference in the amount of valid data; and the third data analysis condition is that the validity of the second-level valid data has been determined. The data analysis unit determines the validity of a second-level valid data based on the opening degree difference corresponding to a single second-level valid data under the second data analysis condition. The difference in openness is negatively correlated with the validity of the secondary valid data; Among them, the validity of the secondary effective data is less than the maximum validity, the opening degree difference is the value obtained by subtracting the valve opening degree from the preset valve opening degree, and the second data analysis condition is that there is sub-heating data in the second sub-heating effective state. The data analysis unit, under the fourth data analysis condition, determines the calculation formula for the reference temperature of the sub-heating data within a single cycle based on the difference between the number of primary effective data and the number of secondary effective data. If the first preset difference state is reached, the data analysis unit determines to calculate the reference temperature using the first reference temperature formula, denoted as T01. The first reference temperature formula... Where α1 is the maximum validity, α2 is the validity of the second-order valid data, 0 < α2 < 0.5 < α1 < 1, α1 = 1 - α2, T 1i T represents the temperature of the warm end corresponding to the i-th valid first-level data point. 2u Let i be the warm end temperature corresponding to the uth second-level valid data, i = 0, 1, 2, 3, ..., imax, where imax is the total number of first-level valid data and umax is the total number of second-level valid data. If the second preset difference state is reached, the data analysis unit determines the reference temperature using the second reference temperature formula, denoted as T02. The second reference temperature formula... ; The fourth data analysis condition is that the difference in the amount of effective data is greater than a preset difference in the amount of effective data. The data analysis unit determines the reference temperature formula based on the average temperature of the secondary effective data under the fifth data analysis condition. If the average temperature of the secondary effective data is less than the preset effective temperature, the first reference temperature formula shall be used. If the average temperature of the secondary effective data is greater than or equal to the preset effective temperature, the second reference temperature formula shall be used. The fifth data analysis condition is that the difference in effective data volume is less than or equal to a preset difference in effective data volume; The coefficient generation unit establishes a two-dimensional coordinate region under the first coefficient generation condition. The horizontal axis of the two-dimensional coordinate system is the reference temperature of the monitoring cycle, and the vertical axis of the two-dimensional coordinate system is the valve opening ratio of the monitoring cycle. A reference region is established, which is a rectangular region. The maximum value of the horizontal axis of the reference region is the maximum value of the reference temperature corresponding to the monitoring cycle, and the maximum value of the vertical axis of the reference region is the maximum value of the valve opening ratio corresponding to the monitoring cycle. The minimum values ​​of the horizontal axis and the minimum values ​​of the vertical axis of the reference region are both 0. The horizontal side of the reference region is parallel to the horizontal side of the two-dimensional coordinate system, and the vertical side of the reference region is parallel to the vertical side of the two-dimensional coordinate system. The reference region is divided into 9 sub-regions, and the data aggregation degree of the 9 sub-regions is calculated. The sub-region corresponding to the maximum aggregation degree detected is recorded as the resistance reference region. The formula for calculating the clustering degree Qz of the z-th sub-region is: ； Where Cz is the number of data points in the z-th sub-region, z = 1, 2, 3, ..., 9; The method for determining the reference temperature for each cycle is selected as the condition for generating the first coefficient.

2. The method for optimizing the hydraulic conditions of a fluid transmission and distribution pipeline network system according to claim 1, characterized in that, The coefficient generation unit extracts the pipeline flow rate of each data point in the resistance reference area to determine the optimal resistance coefficient under the second coefficient generation condition. If the pipeline flow stability of a single data point in a monitoring period is within a preset flow stability range, the coefficient generation unit determines that the average pipeline flow of that monitoring period is recorded as the effective flow; the optimal resistance coefficient Sc corresponding to each single monitoring period is calculated based on the effective flow of each single monitoring period and the average pipeline pressure difference corresponding to the effective flow of the single monitoring period. The formula for calculating the resistance coefficient Sc for a single monitoring cycle is as follows: ； ∆Pc is the average pipeline pressure difference corresponding to the effective flow rate in the c-th monitoring period; Gc is the effective flow rate in the c-th monitoring period; The second coefficient is generated based on the resistance reference area determined during the monitoring period.

3. The method for optimizing the hydraulic conditions of a fluid transmission and distribution pipeline network system according to claim 2, characterized in that, The differential pressure control unit determines the pump differential pressure based on the current pipeline flow rate and the monitoring cycle to which the current moment belongs under the first differential pressure control condition. The formula for calculating the pump pressure difference is as follows: ; Where Sc is the optimal resistance coefficient corresponding to the monitoring cycle at the current moment; G is the current pipeline flow rate; Among them, the first differential pressure control condition is that the optimal resistance coefficient for the monitoring cycle has been determined.

4. The method for optimizing the hydraulic conditions of a fluid transmission and distribution pipeline network system according to claim 3, characterized in that, The differential pressure control unit determines whether to adjust the water pump differential pressure based on the pipeline flow rate under the second differential pressure control condition. If the pipeline flow rate is within the first preset flow rate range, the differential pressure control unit determines that the pump differential pressure does not need to be adjusted. If the pipeline flow rate is within the second preset flow range, the differential pressure control unit determines that the pump differential pressure adjustment mode adopts the increase adjustment mode. If the pipeline flow rate is within the third preset flow range, the differential pressure control unit determines that the pump differential pressure adjustment mode adopts the reduction adjustment mode. The values ​​within the first preset flow range are all greater than the minimum effective flow rate of each monitoring period and less than the maximum effective flow rate of each monitoring period; the values ​​within the second preset flow range are all greater than the maximum effective flow rate of each monitoring period; and the values ​​within the third preset flow range are all less than the minimum effective flow rate of each monitoring period. The absolute values ​​of the pump pressure differential adjustment amount and the flow rate difference are positively correlated. If the pipeline flow is within the second preset flow range, the flow difference is the pipeline flow minus the maximum effective flow value of each monitoring cycle; if the pipeline flow is within the third preset flow range, the flow difference is the minimum effective flow value of each monitoring cycle minus the pipeline flow. The second differential pressure control condition is the completion of the determination of the water pump differential pressure.

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