CN117249467A - Optimization method of hydraulic conditions of fluid transmission and distribution pipe network system - Google Patents

Abstract

The invention relates to the field of heating system control, and in particular to a method for optimizing hydraulic conditions of a fluid transmission and distribution pipeline network system, which includes: a data acquisition unit for continuously monitoring demand data for a target pipeline network; a data analysis unit for The sub-heating data collected by the data acquisition unit is analyzed for validity, and the validity of the second-level valid data is determined based on the opening degree difference corresponding to a single second-level valid data, and the sub-heating is determined based on the difference in amount of valid data and the difference status. The reference temperature calculation formula of the data; the coefficient generation unit is used to determine the resistance reference area to obtain the best resistance coefficient based on the aggregation degree of the sub-area; the pressure difference control unit is used to determine the water pump pressure based on the current pipe network flow and the monitoring period to which the current moment belongs. difference, and determines the adjustment mode of the water pump pressure difference and the degree of adjustment of the water pump pressure difference according to the flow rate of the pipe network; the invention improves the accuracy of adaptive control of the variable pressure difference of the water pump.

Description

Optimization method of hydraulic conditions of fluid transmission and distribution pipe network system

Technical field

The invention relates to the field of heating system control, and in particular to a method for optimizing hydraulic conditions of a fluid transmission and distribution pipe network system.

Background technique

The fluid transmission and distribution pipeline network system is a network composed of pipelines, valves, pump stations, instruments, etc., used to transport and distribute liquids to different points of use or equipment. The design and operation of fluid transmission and distribution pipeline systems require comprehensive consideration of factors such as liquid properties, transportation distance, expected flow rate and pressure requirements. However, in actual application scenarios, the heating system is affected by the heating pipes. Since the temperature at the end of the fluid distribution pipe network is very different from the preset temperature of the heating pipe network, it causes problems for the warm-end users of the heating pipe network. caused major inconvenience. Therefore, how to quickly and accurately regulate hydraulic conditions while ensuring heating efficiency is an urgent problem that technicians currently need to solve.

Chinese Patent Publication No. CN115076766A discloses an operating method for hydraulic balance of a heating pipe network, including: establishment of a primary network distributed heat transmission and distribution system; a network-wide distributed heat transmission and distribution plan; the primary network distributed heat transmission and distribution system The establishment of the distribution system includes: determination of the zero pressure point; analysis of the hydraulic conditions of the heating system; operation adjustment; the whole network distributed transmission and distribution plan includes: determination of the zero pressure point; analysis of the hydraulic conditions of the heating system; operation adjust. By setting up a distributed circulating water pump, wireless pressure sensor, remote transmission system, remote data management system, and a control platform based on data collection, the operating frequency of the water pump is automatically adjusted according to changes in outdoor heat load, and the variable flow rate is adjusted. It can be seen that the above-mentioned operating method for hydraulic balance of a heating pipe network discloses automatically adjusting the operating frequency of the water pump and performing variable flow adjustment according to changes in outdoor heat load. However, there are the following problems: the warm end is regulated by the warm end. Affected by the influence, the status of the valve continues to change, and the warm end connected to the system changes in different cycles, causing the resistance coefficient of the pipe network and the system circulation flow to also change, resulting in hydraulic instability.

Contents of the invention

In order to achieve the above object, the present invention provides a method for optimizing the hydraulic conditions of a fluid transmission and distribution pipeline network system to overcome the influence of the warm end being regulated by the warm end in the prior art, resulting in the resistance coefficient of the pipe network and the system circulation. The flow rate also changes and hydraulic instability is a problem.

To this end, the present invention provides a method for optimizing hydraulic conditions of a fluid transmission and distribution pipeline network system, including:

S1, the data collection unit continues to monitor demand data for the target pipeline network;

S2, the data analysis unit conducts validity analysis on the sub-heating data corresponding to a single warm end collected by the data collection unit within a single monitoring period to determine the first-level valid data and the second-level valid data;

S3, determine the calculation method for the reference temperature based on the difference in quantity between the first-level valid data and the second-level valid data within a single monitoring period and calculate the reference temperature for a single monitoring period;

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 area and divide the reference area into several sub-areas according to the quartering method, calculate the data aggregation degree of each sub-area, and detect The sub-area corresponding to the maximum aggregation degree is recorded as the resistance reference area;

S5, extract the pipe network flow rate of each data point in the resistance reference area for the monitoring period. If the pipe network flow stability of the monitoring period to which a single data point belongs is within the preset flow stability range, determine the average pipe network flow rate of the monitoring period. is the effective flow rate;

S6: Extract the effective flow rate of each single monitoring period and the average pipe pressure difference corresponding to the effective flow rate of the single monitoring period to calculate the optimal resistance coefficient corresponding to the single monitoring period;

S7, when the target pipe network is running, the pressure difference control unit determines the water pump pressure difference based on the current pipe network flow rate and the best resistance coefficient of the monitoring period at the current moment, and determines whether to control the water pump pressure difference based on the preset flow threshold range of the pipe network flow rate. make adjustments;

The demand information includes the opening degree of the warm-end valve, the total number of all warm-end valves, the opening time of the warm-end valve, the indoor temperature of the warm end, the pipeline network flow rate, and the pipeline pressure difference.

Further, the data analysis unit sequentially performs validity analysis on the sub-heating data collected by the data acquisition unit 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 valid state, the data analysis unit determines that the sub-heating data is secondary valid data, and calculates the validity of the secondary valid data;

If the sub-heating data is in the second sub-heating valid state, the data analysis unit determines that the sub-heating data is first-level valid data;

Among them, the first sub-heating effective state is that the valve opening degree in a single period is less than the preset valve opening degree and the total valve opening time is less than the preset opening time; the second sub-heating statistical state is that the valve opening degree in a single period is less than The preset valve opening degree and the total valve opening time are greater than or equal to the preset total opening time; the third sub-heating statistical state is that the valve opening degree in a single cycle 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 Assume the total opening time;

Wherein, the first data analysis condition is the end of a single monitoring cycle.

Further, the data analysis unit determines the validity of the second-level valid data according to the opening degree difference corresponding to the single second-level valid data under the second data analysis condition;

There is a negative correlation between the opening degree difference and the validity of the secondary valid data;

Among them, the validity of the second-level 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 first Erzi heating is in active status.

Further, the data analysis unit determines a method for determining the reference temperature based on the effective data amount difference under the third data analysis condition;

If the effective data amount difference is in the first preset difference state, the data analysis unit determines to use the first reference temperature calculation method;

If the effective data amount difference is in the second preset difference state, the data analysis unit determines to use the second reference temperature calculation method;

If the effective data amount difference 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 that the quantity of the first-level valid data is greater than the quantity of the second-level valid data and the difference in the amount of effective data is greater than the preset difference in the amount of valid data, and the second preset difference state is The quantity of the second-level valid data is greater than the quantity of the 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 that the difference in the amount of effective data is less than or equal to the preset valid data. The third data analysis condition is the completion of the validity determination of the secondary valid data.

Further, under the fourth data analysis condition, the data analysis unit determines the calculation formula of the reference temperature of the sub-heating data in a single period based on the difference state between the number of primary valid data and the quantity of secondary valid data;

If it is the first preset difference state, the data analysis unit determines that the first reference temperature formula is used to calculate the reference temperature. The reference temperature is recorded as T01. The first reference temperature formula Among them, α1 is the maximum validity, α2 is the validity of the second-level valid data, 0＜α2＜0.5＜α1＜1, α1=1-α2, T ₁ i is the warm end corresponding to the i-th first-level valid data Temperature, T ₂ u is the warm end temperature 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, umax is the second-level valid data The total amount;

If it is the second preset difference state, the data analysis unit determines the second reference temperature formula to calculate the reference temperature. The reference temperature is recorded as T02, and the second reference temperature formula

Wherein, the fourth data analysis condition is that the effective data amount difference is greater than the preset effective data amount difference.

Further, 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 is 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 is used;

Wherein, the fifth data analysis condition is that the effective data amount difference is less than or equal to a preset effective data amount difference.

Further, the coefficient generation unit establishes a two-dimensional coordinate area under the first coefficient generation condition. The horizontal axis of the two-dimensional coordinate system is the reference temperature of the monitoring period, and the vertical axis of the two-dimensional coordinate system is the valve opening ratio of the monitoring period. Establish a reference area. The reference area is a rectangular area. The maximum value of the abscissa of the reference area is the maximum value of the reference temperature corresponding to the monitoring period. The maximum value of the ordinate of the reference area is the maximum value of the valve opening ratio corresponding to the monitoring period. The reference area The minimum value of the abscissa coordinate and the minimum value of the ordinate coordinate of the reference area are both 0, and the horizontal side of the reference area is parallel to the horizontal side of the two-dimensional coordinate system and the vertical side of the reference area is parallel to the vertical side of the two-dimensional coordinate system, the reference The area is divided into 9 sub-areas, and the data aggregation degrees of the 9 sub-areas are calculated, and the sub-area corresponding to the detected maximum aggregation degree is recorded as the resistance reference area;

The calculation formula of the aggregation degree Qz of the z-th sub-region is:

Among them, Cz is the number of data points in the z-th sub-region, z=1,2,3,...,9;

Wherein, the first coefficient generation condition is that the method for determining the reference temperature of each cycle is selected and completed.

Further, the coefficient generation unit extracts the pipe network flow rate of the monitoring period to which each data point in the resistance reference area belongs under the second coefficient generation condition to determine the optimal resistance coefficient;

If the pipe network flow stability of the monitoring period to which a single data point belongs is within the preset flow stability range, the coefficient generation unit determines that the average pipe network flow rate of the monitoring period is recorded as the effective flow; according to the effective flow of each single monitoring period and the The optimal resistance coefficient Sc corresponding to each single monitoring period is calculated based on the average value of the pipeline pressure difference corresponding to the effective flow rate of a single monitoring period;

The calculation formula of the resistance coefficient Sc of the single monitoring period is:

The ΔPc is the average pipeline pressure difference corresponding to the effective flow rate of the c-th monitoring period; Gc is the effective flow rate of the c-th monitoring period;

Wherein, the second coefficient generation condition is determined by the resistance reference area of the monitoring period.

Further, the pressure difference control unit determines the water pump pressure difference according to the current pipe network flow rate and the monitoring period to which the current moment belongs under the first pressure difference control condition;

The water pump pressure difference calculation formula is ΔP=Sc×G;

Among them, Sc is the optimal resistance coefficient corresponding to the monitoring period described at the current moment; G is the current pipe network flow rate;

Wherein, the first pressure difference control condition is the completion of determining the optimal resistance coefficient of the monitoring period.

Further, the pressure difference control unit determines whether to adjust the water pump pressure difference according to the pipeline network flow under the second pressure difference control condition;

If the pipeline network flow is within the first preset flow range, the pressure difference control unit determines that the water pump pressure difference does not need to be adjusted;

If the pipeline network flow is within the second preset flow range, the pressure difference control unit determines that the water pump pressure difference adjustment mode adopts the increase adjustment mode;

If the pipeline network flow is in the third preset flow range, the pressure difference control unit determines that the water pump pressure difference adjustment mode adopts the reduction adjustment mode;

The values in the first preset flow range are all greater than the minimum effective flow rate in each monitoring period and less than the maximum effective flow rate in each monitoring period; the values in the second preset flow range are all greater than the maximum effective flow rate in each monitoring period. value; the values within the third preset flow range are all less than the minimum effective flow rate in each monitoring period;

The absolute value of the water pump pressure difference adjustment amount and the flow difference are positively correlated; if the pipe network flow is in the second preset flow range, the flow difference is the pipe network flow minus the maximum effective flow of each monitoring period. Value; if the pipe network flow is in the third preset flow range, the flow difference is the value obtained by subtracting the pipe network flow from the minimum effective flow value in each monitoring period;

Wherein, the second pressure difference control condition is that the water pump pressure difference is determined.

Compared with the existing technology, the beneficial effect of the present invention is that it conducts validity analysis based on the sub-heating data obtained by the data acquisition unit, eliminates invalid sub-heating data, improves the validity of the data, and uses the warm end according to different heating needs. The quantity status determines different reference temperature calculation methods, which improves the accuracy of the judgment results. The resistance reference area is determined based on the sub-heating data status distribution and the optimal resistance coefficient of a single cycle is calculated. The monitoring cycle is determined based on the pipe network flow at the current moment. Determining the water pump pressure difference and adjusting the water pump pressure difference according to the actual application scenario improves the application efficiency of the present invention.

Further, the data analysis unit in the present invention sequentially performs validity analysis on the sub-heating data collected by the data acquisition unit under the first data analysis condition, thereby reflecting the valve usage during the warm end period and further reducing the The influence of invalid sub-heating data on the subsequent reference temperature determination accuracy of the present invention improves the data processing efficiency of the present invention.

Further, the data analysis unit in the present invention determines the reference temperature according to the effective data amount difference under the third data analysis condition, and reflects the warm end of different heating needs based on the data amount status of the secondary data and the primary data. Quantitative state, thereby making the reference temperature determination method more in line with actual application scenarios, improving the practicality of the technical solution of the present invention and the accuracy of the determination results.

Furthermore, the data analysis unit in the present invention determines the reference temperature formula based on the average temperature of the secondary effective data under the fifth data analysis condition, and further accurately reflects the reference temperature formula by comparing the average temperature of the secondary effective data with the preset effective temperature. The heating demand of the warm end is determined by selecting the reference temperature formula accordingly, thereby improving the accuracy of the determination result of the present invention.

Furthermore, the pressure difference control unit in the present invention determines the adjustment mode and degree of adjustment of the water pump pressure difference according to the flow rate of the pipe network, so that the water pump pressure difference adjustment is more in line with the actual application scenario, and the water pump variable speed is realized based on the flow changes. The pressure difference adaptive control improves the application efficiency of the present invention.

Description of drawings

Figure 1 is a schematic diagram of the hydraulic conditions optimization method of the fluid transmission and distribution pipeline network system according to the embodiment of the present invention;

Figure 2 is a unit connection diagram of the hydraulic conditions optimization method of the fluid transmission and distribution pipe network system according to the embodiment of the present invention;

Figure 3 is a resistance reference area diagram of the hydraulic condition optimization method of the fluid transmission and distribution pipe network system according to the embodiment of the present invention;

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

Detailed ways

In order to make the purpose and advantages of the present invention more clear, the present invention will be further described below in conjunction with the examples; it should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.

Preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of the present invention.

It should be noted that in the description of the present invention, the terms "upper", "lower", "left", "right", "inner", "outer" and other terms indicating the direction or positional relationship are based on the figures. The directions or positional relationships shown are only for convenience of description and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present invention.

In addition, it should be noted that in the description of the present invention, unless otherwise clearly stated and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense. For example, it can be a fixed connection or a fixed connection. It is a detachable connection or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be an internal connection between two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

Referring to Figures 1 to 2, the present invention provides a method for optimizing hydraulic conditions of a fluid transmission and distribution pipeline network system, including:

S1, the data collection unit continues to monitor demand data for the target pipeline network;

S2, the data analysis unit conducts validity analysis on the sub-heating data corresponding to a single warm end collected by the data collection unit within a single monitoring period to determine the first-level valid data and the second-level valid data;

S3, determine the calculation method for the reference temperature based on the difference in quantity between the first-level valid data and the second-level valid data within a single monitoring period and calculate the reference temperature for a single monitoring period;

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 area and divide the reference area into several sub-areas according to the quartering method, calculate the data aggregation degree of each sub-area, and detect The sub-area corresponding to the maximum aggregation degree is recorded as the resistance reference area;

S5, extract the pipe network flow rate of each data point in the resistance reference area for the monitoring period. If the pipe network flow stability of the monitoring period to which a single data point belongs is within the preset flow stability range, determine the average pipe network flow rate of the monitoring period. is the effective flow rate;

S6: Extract the effective flow rate of each single monitoring period and the average pipe pressure difference corresponding to the effective flow rate of the single monitoring period to calculate the optimal resistance coefficient corresponding to the single monitoring period;

S7, when the target pipe network is running, the pressure difference control unit determines the water pump pressure difference based on the current pipe network flow rate and the best resistance coefficient of the monitoring period at the current moment, and determines whether to control the water pump pressure difference based on the preset flow threshold range of the pipe network flow rate. make adjustments;

The demand information includes the opening degree of the warm-end valve, the total number of all warm-end valves, the opening time of the warm-end valve, the indoor temperature of the warm end, the pipeline network flow rate, and the pipeline pressure difference.

The data collection unit includes an angle sampler for collecting the opening degree of the valve, a timer for collecting the opening time of the valve, a temperature detection device for collecting and measuring the temperature at the end of the fluid distribution pipe network, and a temperature detection device for collecting the pipe network. The flow meter of the flow rate; the sub-heating data is the opening degree of the valve corresponding to the warm end of a single cycle and the starting time of the valve. The data acquisition unit is equipped with a cycle monitoring cycle. The cycle monitoring cycle includes 24 monitoring cycles. Each monitoring cycle has The duration is 1 hour. The data acquisition unit transmits the collected sub-heating data to the data analysis unit at the end of a single monitoring period. When the 24th monitoring period ends, the data acquisition unit waits for the preset standby time to re-monitor the cycle. For periodic information collection, the preset standby time using the warm end can be determined according to the actual application scenario, but it should be greater than 48h. The time period corresponding to the c-th monitoring cycle is from point c-1 to point c. For example, the third monitoring cycle corresponds to The time period is the time period from time 2 o'clock to time 3 o'clock; the valve opening ratio is the total number of all warm-end valves opened in a single cycle and the total number of all warm-end valves; a single monitoring cycle collects L times of a single warm-end valve The average pipe pressure difference data of all warm-end pipes obtained in a single monitoring period is the average pipe pressure difference. L is greater than 5 and less than 12. The interval for collecting the pressure difference data of a single warm-end pipe is greater than 1 minutes and less than 5 minutes. The pipe pressure difference is the value obtained by subtracting the total pressure of the water flow at the outlet end of the heating pipe network from the total pressure of the water flow at the inlet end of the heating pipe network within a single monitoring period.

Specifically, the data analysis unit sequentially performs validity analysis on the sub-heating data collected by the data collection unit 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 valid state, the data analysis unit determines that the sub-heating data is secondary valid data, and calculates the validity of the secondary valid data;

If the sub-heating data is in the second sub-heating valid state, the data analysis unit determines that the sub-heating data is first-level valid data;

Among them, the first sub-heating effective state is that the valve opening degree in a single period is less than the preset valve opening degree and the total valve opening time is less than the preset opening time; the second sub-heating statistical state is that the valve opening degree in a single period is less than The preset valve opening degree and the total valve opening time are greater than or equal to the preset total opening time; the third sub-heating statistical state is that the valve opening degree in a single cycle 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 Assume the total opening time;

Wherein, the first data analysis condition is the end of a single monitoring cycle.

The sub-heating data is the valve opening degree and the total valve opening time of a single warm end in a single monitoring period. The valve opening degree is the maximum valve opening degree of a single warm end in a single monitoring period. The valve opening degree is The unit is %, the preset valve opening degree is 50%; the preset opening duration is 50% of the duration of a single monitoring cycle, and the valid data is first-level valid data and second-level valid data.

Specifically, the data analysis unit determines the validity of the second-level valid data according to the opening degree difference corresponding to the single second-level valid data under the second data analysis condition;

There is a negative correlation between the opening degree difference and the validity of the secondary valid data;

Among them, the validity of the second-level 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 first Erzi heating is in active status.

When the valve opening degree of a single warm end in a single monitoring period is less than the preset valve opening, the greater the opening degree difference, the lower the heating demand of the corresponding warm end, and the sub-heating data corresponding to the warm end is valid. The lower the degree.

Specifically, the data analysis unit determines a method for determining the reference temperature based on the effective data amount difference under the third data analysis condition;

If the effective data amount difference is in the first preset difference state, the data analysis unit determines to use the first reference temperature calculation method;

If the effective data amount difference is in the second preset difference state, the data analysis unit determines to use the second reference temperature calculation method;

If the effective data amount difference 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 that the quantity of the first-level valid data is greater than the quantity of the second-level valid data and the difference in the amount of effective data is greater than the preset difference in the amount of valid data, and the second preset difference state is The quantity of the second-level valid data is greater than the quantity of the 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 that the difference in the amount of effective data is less than or equal to the preset valid data. The third data analysis condition is the completion of the validity determination of the secondary valid data.

The difference in the amount of effective data is the absolute value of the value obtained by subtracting the number of effective data in the first level from the number of effective data in the second level; the preset difference in the amount of effective data is the total of the first level effective data and the second level effective data. 20% of quantity.

Specifically, the data analysis unit determines the calculation formula of the reference temperature of the sub-heating data in a single period according to the difference state between the number of primary valid data and the quantity of secondary valid data under the fourth data analysis condition;

If it is the first preset difference state, the data analysis unit determines that the first reference temperature formula is used to calculate the reference temperature. The reference temperature is recorded as T01. The first reference temperature formula Among them, α1 is the maximum validity, α2 is the validity of the second-level valid data, 0＜α2＜0.5＜α1＜1, α1=1-α2, T _1i is the warm end temperature corresponding to the i-th first-level valid data , T _2u is the warm end temperature 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, umax is the total number of second-level valid data ;

If it is the second preset difference state, the data analysis unit determines the second reference temperature formula to calculate the reference temperature. The reference temperature is recorded as T02, and the second reference temperature formula

Wherein, the fourth data analysis condition is that the effective data amount difference is greater than the preset effective data amount difference.

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;

If the average temperature of the secondary effective data is less than the preset effective temperature, the first reference temperature formula is 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 is used;

Wherein, the fifth data analysis condition is that the effective data amount difference is less than or equal to a preset effective data amount difference.

The average temperature of the secondary valid data is The preset effective temperature is the average of the sum of T02 in the historical usage records.

Please refer to Figure 3, which is a resistance reference area diagram of the hydraulic conditions optimization method of the fluid transmission and distribution pipeline network system according to the embodiment of the present invention;

Specifically, the coefficient generation unit establishes a two-dimensional coordinate area under the first coefficient generation condition. The horizontal axis of the two-dimensional coordinate system is the reference temperature of the monitoring period, and the vertical axis of the two-dimensional coordinate system is the valve opening ratio of the monitoring period. , establish a reference area. The reference area is a rectangular area. The maximum value of the abscissa of the reference area is the maximum value of the reference temperature corresponding to the monitoring period. The maximum value of the ordinate of the reference area is the maximum value of the valve opening ratio corresponding to the monitoring period. Reference The minimum value of the abscissa coordinate of the area and the minimum value of the ordinate of the reference area are both 0, and the horizontal side 7 of the reference area is parallel to the horizontal side of the two-dimensional coordinate system and the vertical side 8 of the reference area is parallel to the longitudinal side of the two-dimensional coordinate system. , divide the reference area into 9 sub-areas, calculate the data aggregation degrees of the 9 sub-areas, and record the sub-area corresponding to the detected maximum aggregation degree as resistance reference area 5;

The calculation formula of the aggregation degree Qz of the z-th sub-region is:

Among them, Cz is the number of data points 6 in the z-th sub-region, z=1,2,3,...,9;

Wherein, the first coefficient generation condition is that the method for determining the reference temperature of each cycle is selected and completed.

The four-point method for dividing the resistance reference area 5 is as follows: all reference temperature data of a single monitoring period are arranged in order from small to large to obtain a temperature data set, and temperature data that are less than or equal to 25% of the total temperature data set are The maximum value within the set is recorded as the first temperature quantile 1, and the minimum value within the temperature data set that is greater than or equal to 75% of the total temperature data set is recorded as the third temperature quantile 2; for all temperatures in a single monitoring period The valve opening proportion data are arranged in order from small to large to obtain the valve opening proportion data set. The maximum value in the valve opening proportion data set that is less than or equal to 25% of the total valve opening proportion data set is recorded as the first quantile of the opening proportion. 4. Record the minimum value in the valve opening proportion data set that is greater than or equal to 75% of the total valve opening proportion data set as the third opening proportion quantile 3; the first temperature quantile 1, the temperature third quantile Digit 2, the first quantile 4 of the opening ratio, and the third quantile 3 of the opening ratio divide the reference area into 9 sub-regions. The number of data points 6 in each sub-area represents the degree of aggregation of the corresponding area. Based on the comparison of the data aggregation degrees of the 9 sub-areas, the area with the largest aggregation degree is obtained, which is recorded as the resistance reference area 5; each data point 6 corresponds to a single monitoring period. Reference temperature and valve opening ratio.

Specifically, the coefficient generation unit extracts the pipe network flow rate of the monitoring period to which each data point 6 belongs in the resistance reference area 5 to determine the optimal resistance coefficient under the second coefficient generation condition;

If the pipe network flow stability of the monitoring period to which a single data point 6 belongs is within the preset flow stability range, the coefficient generation unit determines that the average pipe network flow of the monitoring period is recorded as the effective flow; according to the effective flow of each single monitoring period and all Calculate the optimal resistance coefficient Sc corresponding to each single monitoring period based on the average value of the pipeline pressure difference corresponding to the effective flow rate of a single monitoring period;

The calculation formula of the resistance coefficient Sc of the single monitoring period is:

The ΔPc is the average pipeline pressure difference corresponding to the effective flow rate of the c-th monitoring period; Gc is the effective flow rate of the c-th monitoring period, c=1, 2, 3,..., 24;

Wherein, the second coefficient generation condition is determined by the resistance reference area of the monitoring period.

The calculation formula of the flow stability W of the single cycle is:

The Dmax is the maximum value of the water outlet flow of the heating pipe network in a single monitoring period, and Dmin is the minimum value of the water outlet flow of the heating pipe network in a single monitoring period. is the sum of the pipe network flows of all warm ends in a single period, k = 0, 1, 2, 3,..., t, t is the total number of warm ends with valves open in a single monitoring period; the preset flow stability The range is determined based on the actual application scenario, and an initial value of the preset flow stability range is provided, where the value within the preset flow stability range is greater than or equal to 0 and less than 0.3.

The average flow rate of a single warm end in a single monitoring period is recorded as the pipe network flow rate of a single warm end in a single monitoring period. H flow values are collected by a single warm end in a single monitoring period, and the average of all values obtained is The value is the average flow rate. The specific value of H can be determined according to the length of the monitoring cycle in the actual application scenario. The greater the length of the monitoring cycle, the greater the value of H. This provides an implementable way to determine the length of a single monitoring cycle. is 1h, the value of H is 12 times, and pipeline flow data is collected every 5 minutes;

Specifically, the pressure difference control unit determines the water pump pressure difference according to the current pipeline network flow rate and the monitoring period to which the current moment belongs under the first pressure difference control condition;

The water pump pressure difference calculation formula is ΔP=Sc×G;

Among them, Sc is the optimal resistance coefficient corresponding to the monitoring period described at the current moment; G is the current pipe network flow rate;

Wherein, the first pressure difference control condition is the completion of determining the optimal resistance coefficient of the monitoring period.

Specifically, the pressure difference control unit determines whether to adjust the water pump pressure difference according to the pipe network flow rate under the second pressure difference control condition;

If the pipeline network flow is within the first preset flow range, the pressure difference control unit determines that the water pump pressure difference does not need to be adjusted;

If the pipeline network flow is within the second preset flow range, the pressure difference control unit determines that the water pump pressure difference adjustment mode adopts the increase adjustment mode;

If the pipeline network flow is in the third preset flow range, the pressure difference control unit determines that the water pump pressure difference adjustment mode adopts the reduction adjustment mode;

The values in the first preset flow range are all greater than the minimum effective flow rate in each monitoring period and less than the maximum effective flow rate in each monitoring period; the values in the second preset flow range are all greater than the maximum effective flow rate in each monitoring period. value; the values within the third preset flow range are all less than the minimum effective flow rate in each monitoring period;

The absolute value of the water pump pressure difference adjustment amount and the flow difference are positively correlated; if the pipe network flow is in the second preset flow range, the flow difference is the pipe network flow minus the maximum effective flow of each monitoring period. Value; if the pipe network flow is in the third preset flow range, the flow difference is the value obtained by subtracting the pipe network flow from the minimum effective flow value in each monitoring period;

Wherein, the second pressure difference control condition is that the water pump pressure difference is determined.

So far, the technical solution of the present invention has been described with reference to the preferred embodiments shown in the drawings. However, those skilled in the art can easily understand that the protection scope 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 replacements to relevant technical features, and the technical solutions after these changes or replacements will fall within the protection scope of the present invention.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention; for those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. A method for optimizing hydraulic conditions of a fluid transmission and distribution pipeline network system, which is characterized by including: S1, the data collection unit continues to monitor demand data for the target pipeline network; S2, the data analysis unit conducts validity analysis on the sub-heating data corresponding to a single warm end collected by the data collection unit within a single monitoring period to determine the first-level valid data and the second-level valid data; S3, determine the calculation method for the reference temperature based on the difference in quantity between the first-level valid data and the second-level valid data within a single monitoring period and calculate the reference temperature for a single monitoring period; 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 area and divide the reference area into several sub-areas according to the quartering method, calculate the data aggregation degree of each sub-area, and detect The sub-area corresponding to the maximum aggregation degree is recorded as the resistance reference area; S5, extract the pipe network flow rate of each data point in the resistance reference area for the monitoring period. If the pipe network flow stability of the monitoring period to which a single data point belongs is within the preset flow stability range, determine the average pipe network flow rate of the monitoring period. is the effective flow rate; S6: Extract the effective flow rate of each single monitoring period and the average pipe pressure difference corresponding to the effective flow rate of the single monitoring period to calculate the optimal resistance coefficient corresponding to the single monitoring period; S7, when the target pipe network is running, the pressure difference control unit determines the water pump pressure difference based on the current pipe network flow rate and the best resistance coefficient of the monitoring period at the current moment, and determines whether to control the water pump pressure difference based on the preset flow threshold range of the pipe network flow rate. make adjustments; The demand information includes the opening degree of the warm-end valve, the total number of all warm-end valves, the opening time of the warm-end valve, the indoor temperature of the warm end, the pipeline network flow rate, and the pipeline pressure difference. 2. The hydraulic condition optimization method of the fluid transmission and distribution pipeline network system according to claim 1, characterized in that the data analysis unit sequentially analyzes the sub-heating data collected by the data acquisition unit under the first data analysis condition. Conduct validity analysis; 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 valid state, the data analysis unit determines that the sub-heating data is secondary valid data, and calculates the validity of the secondary valid data; If the sub-heating data is in the second sub-heating valid state, the data analysis unit determines that the sub-heating data is first-level valid data; Among them, the first sub-heating effective state is that the valve opening degree in a single period is less than the preset valve opening degree and the total valve opening time is less than the preset opening time; the second sub-heating statistical state is that the valve opening degree in a single period is less than The preset valve opening degree and the total valve opening time are greater than or equal to the preset total opening time; the third sub-heating statistical state is that the valve opening degree in a single cycle 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 Assume the total opening time; Wherein, the first data analysis condition is the end of a single monitoring cycle. 3. The hydraulic condition optimization method of the fluid transmission and distribution pipeline network system according to claim 2, characterized in that the data analysis unit is based on the opening degree difference corresponding to a single secondary effective data under the second data analysis condition. Determine the validity of the secondary valid data; There is a negative correlation between the opening degree difference and the validity of the secondary valid data; Among them, the validity of the second-level 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 first Erzi heating is in active state. 4. The hydraulic conditions optimization method of the fluid transmission and distribution pipeline network system according to claim 3, characterized in that the data analysis unit determines the reference temperature according to the effective data amount difference under the third data analysis condition. ; If the effective data amount difference is in the first preset difference state, the data analysis unit determines to use the first reference temperature calculation method; If the effective data amount difference is in the second preset difference state, the data analysis unit determines to use the second reference temperature calculation method; If the effective data amount difference 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 that the quantity of the first-level valid data is greater than the quantity of the second-level valid data and the difference in the amount of effective data is greater than the preset difference in the amount of valid data, and the second preset difference state is The quantity of the second-level valid data is greater than the quantity of the 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 that the difference in the amount of effective data is less than or equal to the preset valid data. The third data analysis condition is the completion of the validity determination of the secondary valid data. 5. The method for optimizing the hydraulic conditions of the fluid transmission and distribution pipeline network system according to claim 4, wherein the data analysis unit determines the number of first-level valid data and the second-level valid data under the fourth data analysis condition. The calculation formula for determining the reference temperature of sub-heating data within a single period is determined by the difference status of the number; If it is the first preset difference state, the data analysis unit determines that the first reference temperature formula is used to calculate the reference temperature. The reference temperature is recorded as T01. The first reference temperature formula Among them, α1 is the maximum validity, α2 is the validity of the second-level valid data, 0＜α2＜0.5＜α1＜1, α1=1-α2, T _1i is the warm end temperature corresponding to the i-th first-level valid data , T _2u is the warm end temperature 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, umax is the total number of second-level valid data ; If it is the second preset difference state, the data analysis unit determines the second reference temperature formula to calculate the reference temperature. The reference temperature is recorded as T02, and the second reference temperature formula Wherein, the fourth data analysis condition is that the effective data amount difference is greater than the preset effective data amount difference. 6. The hydraulic conditions optimization method of the fluid transmission and distribution pipeline network system according to claim 5, characterized in that the data analysis unit determines the reference temperature formula according to 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 is 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 is used; Wherein, the fifth data analysis condition is that the effective data amount difference is less than or equal to a preset effective data amount difference. 7. The hydraulic condition optimization method of the fluid transmission and distribution pipeline network system according to claim 6, characterized in that the coefficient generation unit establishes a two-dimensional coordinate area under the first coefficient generation condition, and the horizontal axis of the two-dimensional coordinate system The axis is the reference temperature of the monitoring period, and the vertical axis of the two-dimensional coordinate system is the valve opening ratio of the monitoring period. A reference area is established. The reference area is a rectangular area. The maximum value of the abscissa of the reference area is the maximum value of the reference temperature corresponding to the monitoring period. value, the maximum value of the ordinate of the reference area is the maximum value of the valve opening ratio corresponding to the monitoring period, the minimum value of the abscissa of the reference area and the minimum value of the ordinate of the reference area are both 0, and the horizontal edge of the reference area and the two-dimensional coordinate The horizontal sides of the system are parallel and the vertical sides of the reference area are parallel to the longitudinal sides of the two-dimensional coordinate system. The reference area is divided into 9 sub-regions, and the data aggregation degrees of the 9 sub-regions are calculated. The sub-regions corresponding to the maximum detected aggregation degree are The area is recorded as the resistance reference area; The calculation formula of the aggregation degree Qz of the z-th sub-region is: Among them, Cz is the number of data points in the z-th sub-region, z=1,2,3,...,9; Wherein, the first coefficient generation condition is that the method for determining the reference temperature of each cycle is selected and completed. 8. The hydraulic conditions optimization method of the fluid transmission and distribution pipeline network system according to claim 7, characterized in that the coefficient generation unit extracts the monitoring period to which each data point in the resistance reference area belongs under the second coefficient generation condition. Pipe network flow to determine optimal resistance coefficient; If the pipe network flow stability of the monitoring period to which a single data point belongs is within the preset flow stability range, the coefficient generation unit determines that the average pipe network flow rate of the monitoring period is recorded as the effective flow; according to the effective flow of each single monitoring period and the The optimal resistance coefficient Sc corresponding to each single monitoring period is calculated based on the average value of the pipeline pressure difference corresponding to the effective flow rate of a single monitoring period; The calculation formula of the resistance coefficient Sc of the single monitoring period is: The ΔPc is the average pipeline pressure difference corresponding to the effective flow rate of the c-th monitoring period; Gc is the effective flow rate of the c-th monitoring period; Wherein, the second coefficient generation condition is determined by the resistance reference area of the monitoring period. 9. The method for optimizing hydraulic conditions of a fluid transmission and distribution pipeline network system according to claim 8, characterized in that, under the first pressure difference control condition, the pressure difference control unit is based on the current pipeline network flow and the current monitoring time. Periodically determine the water pump pressure difference; The water pump pressure difference calculation formula is ΔP=Sc×G; Among them, Sc is the optimal resistance coefficient corresponding to the monitoring period described at the current moment; G is the current pipe network flow rate; Wherein, the first pressure difference control condition is the completion of determining the optimal resistance coefficient of the monitoring period. 10. The hydraulic condition optimization method of the fluid transmission and distribution pipeline network system according to claim 9, characterized in that the pressure difference control unit determines whether to adjust the water pump pressure difference according to the pipeline network flow under the second pressure difference control condition. make adjustments; If the pipeline network flow is within the first preset flow range, the pressure difference control unit determines that the water pump pressure difference does not need to be adjusted; If the pipeline network flow is within the second preset flow range, the pressure difference control unit determines that the water pump pressure difference adjustment mode adopts the increase adjustment mode; If the pipeline network flow is in the third preset flow range, the pressure difference control unit determines that the water pump pressure difference adjustment mode adopts the reduction adjustment mode; The values in the first preset flow range are all greater than the minimum effective flow rate in each monitoring period and less than the maximum effective flow rate in each monitoring period; the values in the second preset flow range are all greater than the maximum effective flow rate in each monitoring period. value; the values within the third preset flow range are all less than the minimum effective flow rate in each monitoring period; The absolute value of the water pump pressure difference adjustment amount and the flow difference are positively correlated; if the pipe network flow is in the second preset flow range, the flow difference is the pipe network flow minus the maximum effective flow of each monitoring period. Value; if the pipe network flow is in the third preset flow range, the flow difference is the value obtained by subtracting the pipe network flow from the minimum effective flow value in each monitoring period; Wherein, the second pressure difference control condition is that the water pump pressure difference is determined.