Heat supply secondary side self-adaptive comprehensive linkage adjusting system based on cloud platform

Abstract

The invention relates to the technical field of heat supply analysis and adjustment, in particular to a heat supply secondary side self-adaptive comprehensive linkage adjustment system based on a cloud platform, which comprises an intelligent heat supply module, an intelligent balance module, a room temperature prediction module and a linkage adjustment module, the linkage adjusting module determines the overall heat supply effect according to the room temperature characterization state and the secondary overall flow, determines the adjusting period of linkage adjustment between the modules on the same day according to the total linkage adjustment frequency of the previous day, and locks the intelligent heat supply module in the single adjusting period. A balance control method is determined based on the number of buildings, balance valve adjustment and circulating pump frequency self-adjustment are conducted in sequence, the adjusted secondary overall flow is sent to the intelligent heat supply module, and the secondary water supply and return temperature of the heat exchange station is determined according to the secondary overall flow; and whether linkage adjustment is carried out again or not is determined according to the heat supply effect of the key heat supply end and the overall heat supply effect determined by the linkage adjustment module. According to the invention, the efficient cooperative control effect among the modules is exerted.

Description

Technical Field

[0001] The present invention relates to the technical field of heat supply analysis and regulation, and in particular to a heat supply secondary side adaptive comprehensive linkage regulation system based on a cloud platform. Background Art

[0002] In recent years, heating companies have carried out a lot of applications and attempts in the automatic control and intelligent control of secondary side systems, and have achieved many results. In terms of the issuance of secondary temperature curves, from the previous use of climate compensation to automatically generate secondary temperature curves to the current AI precise heating system, the precise adjustment of the supply and return water temperature curves of the heat exchange station has been achieved; in terms of secondary side balance adjustment, the building intelligent balancing valve based on the return water temperature consistency method and the household intelligent balancing valve have been widely used, and have achieved certain results in secondary side balance; in terms of circulating pump variable frequency power saving, methods based on secondary side water supply pressure difference control and proportional control have also achieved good results in energy saving.

[0003] Chinese patent announcement number CN108844120B discloses a flow-based secondary side heat supply automatic balancing adjustment method and its intelligent energy consumption monitoring system, which realizes the thermal balance of the second network on the basis of realizing the hydraulic balance of the second network, calculates the imbalance of each building unit according to the real-time operation data at the thermal inlet of the building unit and the design flow of each building unit, and then adjusts the electric valve at the thermal inlet of the secondary side building unit, so that the real-time flow at the thermal inlet of the building unit reaches a uniform value to eliminate the hydraulic imbalance of the second network and realize the purpose of regulating and controlling the heat on demand and balanced transmission and distribution. It can be seen that the invention has the following problems: This invention does not take into account the significant mutual influence between the control systems, nor does it consider how to give full play to the coordinated and efficient control function of these systems so as to achieve the problem of realizing the adaptive pursuit of the optimal energy-saving goal by the secondary system through reasonable control strategies. Summary of the invention

[0004] To this end, the present invention provides a cloud-based secondary-side adaptive comprehensive linkage regulation system for heating, which is used to overcome the problem that the prior art does not consider the large mutual influence between the control systems and how to give full play to the coordinated and efficient control role of these systems, so as to achieve the problem of realizing the adaptive pursuit of the optimal energy-saving goal of the secondary system through a reasonable control strategy.

[0005] To achieve the above objectives, the present invention provides a heating secondary side adaptive comprehensive linkage regulation system based on a cloud platform, comprising: Intelligent heating module, used to adjust the secondary supply and return water temperature according to the changes in outdoor temperature and secondary overall flow; An intelligent balancing module, for determining a balancing control method according to the number of buildings to be heated, including an intelligent balancing valve unit and a circulating pump frequency conversion unit, for adjusting the flow balance between buildings and the balance of heating and flow between heating ends, and adjusting the secondary overall flow of the heating system, wherein the balancing control method includes a return water temperature consistency method and a flow distribution coefficient control method; A room temperature prediction module, comprising a remote room temperature unit and a room temperature prediction unit, for collecting indoor temperature data of each heating end according to each remote room temperature device, and the room temperature prediction unit determines room temperature evaluation parameters according to the indoor temperature data to determine the room temperature characterization state, wherein the room temperature evaluation parameters include average room temperature, median room temperature, room temperature balance and room temperature stability; A linkage adjustment module, which is respectively connected to the intelligent heating module, the intelligent balancing module and the room temperature prediction module, and is used to determine the overall heating effect according to the room temperature characterization state and the secondary overall flow, and to determine the adjustment cycle of linkage adjustment between the modules on the current day according to the total number of linkage adjustments on the previous day; The linkage adjustment process of the linkage adjustment module in a single adjustment cycle includes: Lock the intelligent heating module, determine the balancing control method based on the number of buildings and control the intelligent balancing valve unit and the circulating pump frequency conversion unit according to the method to perform balancing valve adjustment and circulating pump frequency self-adjustment in turn, lock the intelligent balancing valve unit and the circulating pump frequency conversion unit and send the adjusted secondary overall flow to the intelligent heating module, unlock the intelligent heating module and determine the secondary supply and return water temperature of the heat exchange station according to the secondary overall flow, and determine whether to perform linkage adjustment again according to the heating effect of the key heating end and the overall heating effect determined by the linkage adjustment module.

[0006] Furthermore, the remote room temperature unit includes a plurality of remote room temperature devices arranged at the heating end, and a single remote room temperature device is used to send the room temperature data collected by the device to the room temperature prediction unit.

[0007] Furthermore, the intelligent heating module includes a precision heating plug-in for adjusting the secondary supply and return water temperature according to changes in outdoor temperature and secondary overall flow.

[0008] Furthermore, the linkage adjustment module determines the adjustment cycle of linkage adjustment between modules on the current day according to the total number of linkage adjustments on the previous day, including: If the total number of linkage adjustments on the previous day is greater than the preset range, the adjustment cycle of the day is determined to be the maximum adjustment cycle; If the total linkage adjustment times of the previous day are within the preset range, the adjustment cycle of the current day is determined according to the ratio of the total linkage adjustment times to the preset times and the preset adjustment cycle; wherein the adjustment cycle of the current day is the ratio of the total linkage adjustment times of the previous day to the preset times × the preset adjustment cycle; If the total number of linkage adjustments on the previous day is less than the preset range, the adjustment cycle of the day is determined to be the preset adjustment cycle.

[0009] Furthermore, the linkage adjustment module determines the balance control method based on the number of buildings, including: The linkage adjustment module determines that the balance control method is the return water temperature consistency method when the number of buildings is greater than or equal to a preset number; The linkage adjustment module determines that the balance control method is the flow distribution coefficient control method when the number of buildings is less than a preset number.

[0010] Furthermore, the linkage adjustment module calculates the weighted average return water temperature of each building and adjusts the balancing valve according to the judgment result that the balancing control method is the return water temperature consistency method, and determines the subsequent operation according to the maximum valve opening of each balancing valve after adjustment, including: Based on the judgment result that the maximum valve opening is less than or equal to 90°, the weighted average return water temperature of each building is recalculated and the balancing valve is readjusted.

[0011] Further, the linkage adjustment module calculates the weighted average return water temperature of each building and adjusts the balancing valve according to the judgment result that the balancing control method is the return water temperature consistency method, and determines the subsequent operation according to the maximum valve opening of each balancing valve after adjustment, and also includes: According to the judgment result that the maximum valve opening is greater than 90°, the size of the unfavorable heating end flow is identified and the average end flow is determined. According to the relationship between the average end flow and the flow limit range, the adjustment method of the circulation pump operating frequency is determined, and the adjusted flow data is sent to the intelligent heating module to adjust the secondary supply and return water temperature.

[0012] Furthermore, the linkage adjustment module determines the average terminal flow rate according to the flow rates of each unfavorable heating terminal, and determines the adjustment method of the operating frequency of the circulation pump according to the relationship between the average terminal flow rate and the flow limit range, including: If the terminal average flow rate is less than the flow limit range, it is determined to increase the operating frequency of the circulation pump; If the terminal average flow rate is greater than the flow limit range, it is determined to reduce the operating frequency of the circulation pump.

[0013] Furthermore, the linkage adjustment module sets the flow distribution coefficient to control the balancing valve for automatic adjustment according to the judgment result that the balancing control method is the flow distribution coefficient control method, identifies the valve opening of each unfavorable heating end and determines the average opening of the end, determines the adjustment method of the circulation pump operating frequency according to the average opening of the end, and sends the adjusted flow data to the intelligent heating module to adjust the secondary supply and return water temperature.

[0014] Furthermore, the linkage adjustment module determines the average value of the valve openings of each unfavorable heating end as the terminal average opening, and determines the adjustment method of the circulation pump operation frequency according to the terminal average opening, including: If the average opening of the terminal is less than the first opening limit, it is determined to reduce the operating frequency of the circulation pump; If the average opening of the terminal is greater than the second opening limit, it is determined to increase the operating frequency of the circulation pump; Wherein, the first opening limit value is smaller than the second opening limit value.

[0015] Compared with the prior art, the beneficial effect of the present invention lies in that the cloud-based platform-based secondary side adaptive comprehensive linkage regulation system for heating provided by the present invention provides a highly adaptive linkage regulation mode for seeking the optimal energy-saving effect through the access of intelligent heating module, intelligent balancing module, room temperature prediction module and linkage regulation module, so as to balance the indoor temperature and flow of each heating end, and also balance the thermal power and heat between buildings.

[0016] Furthermore, after the system was put into operation, it achieved good energy-saving effects, especially in terms of electricity saving; the system continuously explored the hydraulic balance through dynamic monitoring of the heating effects of the overall and key heating ends, and finally achieved a greater energy-saving effect; the system takes indoor temperature as the core control target, and independently seeks the lower limit of heat consumption and electricity consumption under the premise of comfortable and balanced heating. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a connection diagram of a heat supply secondary side adaptive comprehensive linkage regulation system based on a cloud platform according to an embodiment of the present invention; Figure 2 A step diagram of a linkage adjustment process within a single adjustment cycle of an embodiment of the present invention; Figure 3 This is a working diagram of the return water temperature consistency method according to an embodiment of the present invention; Figure 4 The flowchart of the flow distribution coefficient control method according to the embodiment of the present invention is shown in FIG. DETAILED DESCRIPTION

[0018] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0020] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0021] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of 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.

[0022] See also Figure 1 and Figure 2 As shown, they are respectively a connection diagram of a heating secondary side adaptive comprehensive linkage regulation system based on a cloud platform according to an embodiment of the present invention and a step diagram of a linkage regulation process within a single regulation cycle according to an embodiment of the present invention. An embodiment of the present invention provides a heating secondary side adaptive comprehensive linkage regulation system based on a cloud platform, comprising: Intelligent heating module, used to adjust the secondary supply and return water temperature according to the changes in outdoor temperature and secondary overall flow; An intelligent balancing module, for determining a balancing control method according to the number of buildings to be heated, including an intelligent balancing valve unit and a circulating pump frequency conversion unit, for adjusting the flow balance between buildings and the balance of heating and flow between heating ends, and adjusting the secondary overall flow of the heating system, wherein the balancing control method includes a return water temperature consistency method and a flow distribution coefficient control method; A room temperature prediction module, comprising a remote room temperature unit and a room temperature prediction unit, for collecting indoor temperature data of each heating end according to each remote room temperature device, and the room temperature prediction unit determines room temperature evaluation parameters according to the indoor temperature data to determine the room temperature characterization state, wherein the room temperature evaluation parameters include average room temperature, median room temperature, room temperature balance and room temperature stability; At any time during the implementation, the temperature prediction module determines the mean and median of each indoor temperature data as the average room temperature and the median room temperature, respectively, and determines the room temperature difference according to the difference between the average room temperature and the median room temperature (the closeness of the mean and the median indicates that the data distribution is relatively balanced, and also represents that there is no serious skewness or outliers), determines the room temperature balance according to the variance of each indoor temperature data, and determines the room temperature stability according to the room temperature difference and the room temperature balance; In implementation, the room temperature stability is the sum of the room temperature difference and the room temperature balance; it can be understood that the smaller the calculated room temperature stability is, the smaller the temperature difference between the heating ends is and the better the heating effect is; the closer the ratio of the room temperature stability at any two adjacent moments is to 1, the more stable the heating is; In implementation, if the ratio of the room temperature stability at any two adjacent moments is within the preset ratio range, the room temperature characterization state is a normal characterization state, otherwise it is an abnormal characterization state; that is, for two adjacent moments A and B, the room temperature stability at moment B ÷ the room temperature stability at moment A∈the preset ratio range is a normal characterization state, and the room temperature stability at moment B ÷ the room temperature stability at moment A is not within the preset ratio range, then it is an abnormal characterization state; wherein the preset ratio range∈[95%, 105%], preferably the preset ratio range is [97%, 103%].

[0023] A linkage adjustment module, which is respectively connected to the intelligent heating module, the intelligent balancing module and the room temperature prediction module, and is used to determine the overall heating effect according to the room temperature characterization state and the secondary overall flow, and to determine the adjustment cycle of linkage adjustment between the modules on the current day according to the total number of linkage adjustments on the previous day; The linkage adjustment process of the linkage adjustment module in a single adjustment cycle includes steps S1 to S5. Step S1, locking the intelligent heating module and determining the balance control method based on the number of buildings; Step S2, according to the method, controlling the intelligent balancing valve unit and the circulating pump frequency conversion unit to perform balancing valve adjustment and circulating pump frequency self-adjustment in sequence; Step S3, after the adjustment is completed, the intelligent balancing valve unit and the circulating pump frequency conversion unit are locked and the adjusted secondary overall flow is sent to the intelligent heating module; Step S4, unlocking the intelligent heating module and determining the secondary supply and return water temperature of the heat exchange station according to the secondary overall flow rate; Step S5, and determine whether to perform linkage adjustment again according to the heating effect of the key heating end and the overall heating effect determined by the linkage adjustment module; in implementation, if the heating effect of the key heating end meets the standard and the overall heating effect is good, linkage adjustment will no longer be performed within a single adjustment cycle; if the heating effect of the key heating end does not meet the standard or the overall heating effect is not good, linkage adjustment will be performed again within a single adjustment cycle; it can be understood that a maximum of 3 linkage adjustments will be performed within a single adjustment cycle.

[0024] In implementation, if the room temperature characterization state is a normal characterization state and the secondary overall flow rate is less than the preset overall flow rate, the overall heating effect is determined to be good; if the room temperature characterization state is an abnormal characterization state and / or the secondary overall flow rate is greater than or equal to the preset overall flow rate, the overall heating effect is determined to be poor; In implementation, the key heating ends are the side households and top households of each building in the area to be heated, and the heating effect of the key heating ends is determined according to the key average room temperature and the key room temperature balance corresponding to all the key heating ends in a single area to be heated; wherein at any time, if the key average room temperature is greater than or equal to the benchmark room temperature (the benchmark room temperature is 0.9 times the average room temperature to 0.95 times the average room temperature) and the key room temperature balance is less than or equal to the room temperature balance, then it is determined that the heating effect of the key heating end meets the standard; if the key average room temperature is less than the benchmark room temperature (the benchmark room temperature is 0.9 times the average room temperature to 0.95 times the average room temperature) and / or the key room temperature balance is greater than the room temperature balance, then it is determined that the heating effect of the key heating end does not meet the standard; it can be understood that the larger the benchmark room temperature, the higher the indoor temperature of the key heating end when its heating effect meets the standard.

[0025] Specifically, the remote room temperature unit includes a plurality of remote room temperature devices arranged at the heating end, and a single remote room temperature device is used to send the room temperature data collected by the device to the room temperature prediction unit.

[0026] It can be understood that each heating end has a remote room temperature device; in implementation, the heating range corresponding to a heating system is a place to be heated, which may include more than or equal to one building, and a building may have more than or equal to one heating end; in one implementation, community A is a heating system, which has a building, and each household in the community is a heating end, and these heating ends constitute the entire heating system.

[0027] Specifically, the intelligent heating module includes a precise heating plug-in for adjusting the secondary supply and return water temperature according to changes in outdoor temperature and secondary overall flow rate; it can be understood that the purpose of adjusting the secondary supply and return water temperature can be achieved by adjusting the opening of the supply and return water temperature regulating valve, wherein increasing the opening of the supply water temperature regulating valve will increase the supply water temperature, and reducing the opening of the return water temperature regulating valve will reduce the return water temperature.

[0028] It can be understood that the secondary supply and return water temperatures are negatively correlated with the outdoor temperature, and the secondary supply and return water temperatures are also negatively correlated with the secondary overall flow rate, and the supply water temperature is greater than the return water temperature.

[0029] In implementation, the precision heating plug-in includes a relationship curve between the outdoor temperature and the secondary supply and return water temperature. According to the climatic conditions of each heating site and the characteristics of the building, a relationship curve between the outdoor temperature and the secondary supply and return water temperature is pre-established, and the secondary supply and return water temperature is determined according to this relationship curve, that is, when the outdoor temperature changes, the secondary supply and return water temperature is automatically adjusted according to this relationship curve; in one implementation, when the outdoor temperature drops, the supply water temperature regulating valve needs to be opened to increase the supply water temperature so that more heat can be delivered to the room. At the same time, the return water temperature regulating valve may also need to be adjusted to ensure that the return water temperature is also within a reasonable range to maintain the normal circulation of the system (if the return water temperature is too high, the opening of the return water temperature regulating valve is reduced).

[0030] In implementation, the precision heating plug-in includes a pre-set association rule between the secondary overall flow and the secondary water supply temperature. The secondary water supply temperature regulating valve is adjusted according to this association rule to adjust the secondary water supply temperature. In one implementation, the secondary water supply temperature is usually increased by 3°C to 5°C when the flow rate is reduced by 20%.

[0031] Specifically, the linkage adjustment module determines the adjustment cycle of linkage adjustment between modules on the current day according to the total number of linkage adjustments on the previous day, including: If the total number of linkage adjustments on the previous day is greater than the preset range, the adjustment cycle of the day is determined to be the maximum adjustment cycle; If the total linkage adjustment times of the previous day are within the preset range, the adjustment cycle of the current day is determined according to the ratio of the total linkage adjustment times to the preset times and the preset adjustment cycle; wherein the adjustment cycle of the current day is the ratio of the total linkage adjustment times of the previous day to the preset times × the preset adjustment cycle; If the total number of linkage adjustments on the previous day is less than the preset range, the adjustment cycle of the day is determined to be the preset adjustment cycle.

[0032] In implementation, the room temperature characterization state includes a normal characterization state and an abnormal characterization state.

[0033] It can be understood that the preset adjustment cycle ∈ [1h, 2h] means 12 to 24 adjustments per day. The shorter the preset adjustment cycle, the more frequent the linkage adjustment. However, too frequent adjustment will result in excessive energy consumption. Therefore, it is preferred to set the preset adjustment cycle to 2h, that is, one adjustment cycle every two hours, so the preset number of times is 12 times; in implementation, the preset range is [1.5 times the preset number of times, 2 times the preset number of times].

[0034] In practice, the range of the preset overall flow rate is determined by the scale of the heating system (heating area and number of users), building type and insulation conditions, outdoor design temperature and the performance of the heating equipment; (1) For general residential central heating systems, the preset value of the secondary side overall flow rate can usually be 100 cubic meters per 10,000 square meters to 500 cubic meters per 10,000 square meters per hour, preferably, it is set to 300 cubic meters per 10,000 square meters per hour; (2) Commercial buildings (such as shopping malls, office buildings, etc.) require more heat due to their large space, frequent personnel flow, and large heat dissipation area of ​​the enclosure structure. For commercial building central heating systems with a heating area of ​​50,000 square meters to 200,000 square meters, the preset value of the secondary side overall flow rate may be 300 cubic meters per hour. 00 cubic meters / 10,000 square meters~800 cubic meters / 10,000 square meters, preferably, it is set to 500 cubic meters / 10,000 square meters per hour; (3) Special buildings: ① The overall flow preset value of buildings with high heating requirements (hospitals) is set to 650 cubic meters / 10,000 square meters per hour; ② For buildings with low heating requirements (data center computer rooms, communication computer rooms), the overall flow preset value is determined according to their cooling system. The overall flow preset value of the secondary side of the air-cooled precision air conditioner is 200 cubic meters / 10,000 square meters per hour, the overall flow preset value of the secondary side of the cooling system using a combination of water cooling and air cooling is 400 cubic meters / 10,000 square meters per hour, and the overall flow preset value of the secondary side of the high-efficiency water cooling system is 600 cubic meters / 10,000 square meters per hour.

[0035] Specifically, the linkage adjustment module determines the balance control method based on the number of buildings, including: The linkage adjustment module determines that the balance control method is the return water temperature consistency method when the number of buildings is greater than or equal to a preset number; The linkage adjustment module determines that the balance control method is the flow distribution coefficient control method when the number of buildings is less than a preset number.

[0036] It can be understood that the return water temperature consistency method is applicable when there are many buildings, and the preset number is ≤2, usually set to 1.

[0037] It can be understood that the weighted average return water temperature of each building is calculated in the embodiment of the present invention by using flow-based weighting: (1) first, the return water flow Q1, Q2, ..., Qn of each building needs to be measured or estimated; (2) the return water temperature T1, T2, ..., Tn of each building is recorded; (3) the weighted average return water temperature Tavg is calculated as (T1Q1+T2Q2+...+TnQn)÷(Q1+Q2+...+Qn).

[0038] See also Figure 3As shown, it is a workflow diagram of the return water temperature consistency method of an embodiment of the present invention. Specifically, the linkage adjustment module calculates the weighted average return water temperature of each building and adjusts the balancing valve according to the judgment result that the balancing control method is the return water temperature consistency method, and determines the subsequent operation according to the maximum valve opening of each balancing valve after adjustment, including: According to the judgment result that the maximum valve opening is less than or equal to 90°, the weighted average return water temperature of each building is recalculated and the balancing valve is readjusted, and the above process is repeated until the maximum valve opening of each balancing valve after adjustment is greater than 90°.

[0039] Specifically, the linkage adjustment module calculates the weighted average return water temperature of each building and adjusts the balancing valve according to the judgment result that the balancing control method is the return water temperature consistency method, and determines the subsequent operation according to the maximum valve opening of each balancing valve after adjustment, and also includes: According to the judgment result that the maximum valve opening is greater than 90°, the size of the unfavorable heating end flow is identified and the average end flow is determined. According to the relationship between the average end flow and the flow limit range, the adjustment method of the circulation pump operating frequency is determined, and the adjusted flow data is sent to the intelligent heating module to adjust the secondary supply and return water temperature.

[0040] It can be understood that the unfavorable heating end refers to the unfavorable user in the heating system, that is, the user who does not need heating or temporarily stops heating; Specifically, the linkage adjustment module determines the average terminal flow rate according to the flow rates of each unfavorable heating terminal, and determines the adjustment method of the circulation pump operation frequency according to the relationship between the average terminal flow rate and the flow limit range, including: If the terminal average flow rate is less than the flow limit range, it is determined to increase the operating frequency of the circulation pump; it can be understood that the terminal average flow rate is less than the flow limit range, which means that the amount of hot water delivered to the terminal users of the heating system is insufficient, which may be caused by reasons such as large pipeline resistance / insufficient head of the circulation pump / hydraulic imbalance of the system. Increasing the operating frequency of the circulation pump can increase the speed of the circulation pump, thereby increasing the flow rate and flow velocity of hot water; after the operating frequency of the circulation pump is increased, the terminal average flow rate will increase accordingly, which will enable more heat to be delivered to the terminal users; If the terminal average flow rate is greater than the flow limit range, it is determined to reduce the operating frequency of the circulation pump; it can be understood that when the terminal average flow rate is greater than or equal to the flow limit range, it means that the amount of hot water delivered to the terminal is sufficient or even excessive. If the circulation pump continues to operate at a higher frequency, more hot water will flow to the terminal, which may cause the indoor temperature of the terminal user to be too high, causing discomfort to the user and energy waste; If the terminal average flow rate is equal to the flow limit range, it is determined that the operating frequency of the circulation pump will not be changed.

[0041] In implementation, the linkage adjustment module determines the average terminal flow rate according to the flow rates of each unfavorable heating end, including: (1) if the flow rate of an unfavorable heating end is greater than or equal to a preset flow rate, the valve opening of the unfavorable heating end is first reduced to close the valve and then the average terminal flow rate is determined again; (2) if the flow rates of the unfavorable heating ends are all less than the preset flow rate, the average terminal flow rate is directly determined; in implementation, the preset flow rate is 0.5 cubic meters to 1 cubic meter per hour, preferably set to 1 cubic meter per hour.

[0042] It can be understood that the terminal average flow rate refers to the average flow rate of the last user in the heating system; in implementation, the flow limit range is determined according to factors such as specific engineering design, heat load calculation, and system operation conditions; generally, the flow limit range for ordinary residences is 0.08 to 0.3 cubic meters per square meter per hour, the flow limit range for commercial buildings is 0.3 to 1.5 cubic meters per square meter per hour, and the flow limit range for industrial plants is 0.4 to 1.0 cubic meters per square meter per hour; preferably, the flow limit range for ordinary residences is 0.15 to 2.0 cubic meters per square meter per hour, the flow limit range for commercial buildings is 0.5 to 0.7 cubic meters per square meter per hour, and the flow limit range for industrial plants is 0.4 to 0.6 cubic meters per square meter per hour.

[0043] See also Figure 4 As shown, it is a workflow diagram of the flow distribution coefficient control method of an embodiment of the present invention. Specifically, the linkage adjustment module sets the flow distribution coefficient to control the balancing valve to automatically adjust according to the judgment result that the balance control method is the flow distribution coefficient control method, identifies the valve opening of each unfavorable heating end and determines the average opening of the end, determines the adjustment method of the circulation pump operation frequency according to the average opening of the end, and sends the adjusted flow data to the intelligent heating module to adjust the secondary supply and return water temperature.

[0044] In practice, the flow distribution coefficient is determined according to a calculation method based on heat load and is corrected according to the pipe resistance: (1) The heat load of each building is determined, and the flow distribution coefficient of the building is determined according to the ratio of the heat load of a single building to the total heat load; (2) The pipe resistance of each building is determined, and the resistance share of the building is determined according to the ratio of the pipe resistance of a single building to the total pipe resistance; (3) The corrected flow distribution coefficient is determined by the product of the flow distribution coefficient of a single building and the inverse of the resistance share.

[0045] Specifically, the linkage adjustment module determines the average value of the valve openings of each unfavorable heating end as the terminal average opening, and determines the adjustment method of the circulation pump operation frequency according to the terminal average opening, including: If the terminal average opening is less than the first opening limit, it is determined to reduce the operating frequency of the circulation pump, and the adjusted operating frequency = current opening ÷ 60° × operating frequency before adjustment; it can be understood that when the terminal user valve opening is less than the first opening limit, it means that the terminal user has a low demand for hot water flow, which may be because the indoor temperature of the terminal user is sufficient, or the heat dissipation capacity of the end user's heat dissipation equipment (such as radiator, floor heating, etc.) itself is limited and does not require too much hot water flow. At this time, if the circulation pump still maintains a high operating frequency, a large amount of hot water will flow to the near-end user first (because the pipeline resistance of the near-end user is relatively small), which will cause the near-end user to overheat and the indoor temperature to be too high, which will not only affect the user's comfort but also cause energy waste; If the average opening of the terminal is greater than the second opening limit, it is determined to increase the operating frequency of the circulation pump, and the adjusted operating frequency = current opening ÷ 90° × operating frequency before adjustment; it can be understood that the terminal opening greater than 90 degrees indicates that the terminal user has a greater demand for hot water flow, which may be because the indoor temperature of the terminal user is low and a large amount of hot water is needed to supplement the heat. However, in this case, the operating frequency of the circulation pump needs to be increased to allow more hot water to flow to the terminal; If the first opening limit value ≤ the terminal average opening ≤ the second opening limit value, it is determined that the operating frequency of the circulation pump is not adjusted; Wherein, the first opening limit value is smaller than the second opening limit value.

[0046] In implementation, the first opening limit value is less than 70°, and the second opening limit value is greater than 80°; preferably, the first opening limit value is 60°, and the second opening limit value is 90°. Example

[0047] All 200 users in Community A are equipped with intelligent balancing valves at the user end to upload data such as supply and return water temperature, flow rate, valve opening, etc., and control the valve opening according to the flow distribution coefficient control method; Intelligent balancing valves are installed in 11 buildings in Community B to enable the upload of return water temperature, and control the valve opening and circulation pump operating frequency according to the return water temperature consistency method.

[0048] Table 1 Changes in the standard deviation of traffic distribution in cell A before and after adjustment Apartment Type 01 02 03 04 Before adjustment 0.207 0.181 0.217 0.220 After adjustment 0.190 0.138 0.154 0.176 The flow distribution of different types of households in Community A changed significantly before and after the adjustment. The unit area flow of the middle user 03 household changed from 3.19L / m 2 Reduced to 2.26 L / m 2 , the unit area flow rate of the side unit 01 is 3.08L / m 2 Increased to 4.09L / m 2 , the flow rate of the side roof household is 3.22L / m2 Increased to 4.19L / m 2 The unit area flow rate of the middle user 02 unit is 2.59L / m 2 Reduced to 2.33 L / m 2 The unit area flow rate of user 04 is 3.57L / m 2 Increased to 3.70L / m 2 At the same time, the standard deviation of the flow distribution of each apartment type is reduced before and after adjustment, among which the 01 apartment type is reduced by 0.017, the 02 apartment type is reduced by 0.043, the 03 apartment type is reduced by 0.063, and the 04 apartment type is reduced by 0.044, which means that the flow distribution is more uniform after adjustment, showing that the present invention has a strong adjustment ability.

[0049] The present invention gradually reduces the frequency of the circulating pump from the initial 40HZ to 33HZ and maintains stability within 14 hours after the A community is put into operation; at the same time, the secondary heating and secondary flow rate are also adaptively adjusted according to the change of outdoor temperature. When the outdoor temperature is high at noon, the secondary heating and secondary flow rate are both low, showing that the comprehensive linkage adjustment system can realize the process of adaptive dynamic adjustment of the circulating pump frequency; The present invention maintains the indoor temperature at a relatively stable level during the entire control period, with the average room temperature at around 22°C and being relatively stable; at the same time, the number of self-received work orders in the 22nd to 23rd heating season after the system was put into operation was 37, a decrease of 30.2% from 53 in the 21st to 22nd heating season.

[0050] The energy saving achieved by the present invention is also considerable: after the linkage system was put into operation, the A community achieved a heat saving of 12% and an electricity saving of 41%; after the linkage system was put into operation, the B community achieved a heat saving of 8% and an electricity saving of 31%.

[0051] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 fall within the protection scope of the present invention.

[0052] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The heat supply secondary side adaptive comprehensive linkage regulation system based on the cloud platform is characterized by: include: Intelligent heating module, used to adjust the secondary supply and return water temperature according to the changes in outdoor temperature and secondary overall flow; An intelligent balancing module, for determining a balancing control method according to the number of buildings to be heated, including an intelligent balancing valve unit and a circulating pump frequency conversion unit, for adjusting the flow balance between buildings and the balance of heating and flow between heating ends, and adjusting the secondary overall flow of the heating system, wherein the balancing control method includes a return water temperature consistency method and a flow distribution coefficient control method; A room temperature prediction module, comprising a remote room temperature unit and a room temperature prediction unit, for collecting indoor temperature data of each heating end according to each remote room temperature device, and the room temperature prediction unit determines room temperature evaluation parameters according to the indoor temperature data to determine the room temperature characterization state, wherein the room temperature evaluation parameters include average room temperature, median room temperature, room temperature balance and room temperature stability; A linkage adjustment module, which is respectively connected to the intelligent heating module, the intelligent balancing module and the room temperature prediction module, and is used to determine the overall heating effect according to the room temperature characterization state and the secondary overall flow, and to determine the adjustment cycle of linkage adjustment between the modules on the current day according to the total number of linkage adjustments on the previous day; The linkage adjustment process of the linkage adjustment module in a single adjustment cycle includes: Lock the intelligent heating module, determine the balancing control method based on the number of buildings and control the intelligent balancing valve unit and the circulating pump frequency conversion unit according to the method to perform balancing valve adjustment and circulating pump frequency self-adjustment in turn, lock the intelligent balancing valve unit and the circulating pump frequency conversion unit and send the adjusted secondary overall flow to the intelligent heating module, unlock the intelligent heating module and determine the secondary supply and return water temperature of the heat exchange station according to the secondary overall flow, and determine whether to perform linkage adjustment again according to the heating effect of the key heating end and the overall heating effect determined by the linkage adjustment module.

2. The cloud platform-based heating secondary side adaptive comprehensive linkage regulation system according to claim 1 is characterized in that: The remote room temperature unit includes a plurality of remote room temperature devices arranged at the heating end, and a single remote room temperature device is used to send the room temperature data collected by the device to the room temperature prediction unit.

3. The heat supply secondary side adaptive comprehensive linkage regulation system based on cloud platform according to claim 1 is characterized in that: The intelligent heating module includes a precise heating plug-in for adjusting the secondary supply and return water temperature according to changes in outdoor temperature and secondary overall flow rate.

4. The heat supply secondary side adaptive comprehensive linkage regulation system based on cloud platform according to claim 1 is characterized in that: The linkage adjustment module determines the adjustment cycle of linkage adjustment between modules on the current day according to the total number of linkage adjustments on the previous day, including: If the total number of linkage adjustments on the previous day is greater than the preset range, the adjustment cycle of the day is determined to be the maximum adjustment cycle; If the total linkage adjustment times of the previous day are within the preset range, the adjustment cycle of the current day is determined according to the ratio of the total linkage adjustment times to the preset times and the preset adjustment cycle; wherein the adjustment cycle of the current day is the ratio of the total linkage adjustment times of the previous day to the preset times × the preset adjustment cycle; If the total number of linkage adjustments on the previous day is less than the preset range, the adjustment cycle of the day is determined to be the preset adjustment cycle.

5. The cloud platform-based heating secondary side adaptive comprehensive linkage regulation system according to claim 1 is characterized in that: The linkage adjustment module determines the balance control method based on the number of buildings, including: The linkage adjustment module determines that the balance control method is the return water temperature consistency method when the number of buildings is greater than or equal to a preset number; The linkage adjustment module determines that the balance control method is the flow distribution coefficient control method when the number of buildings is less than a preset number.

6. The cloud platform-based heating secondary side adaptive comprehensive linkage regulation system according to claim 5 is characterized in that: The linkage adjustment module calculates the weighted average return water temperature of each building and adjusts the balancing valve according to the judgment result that the balancing control method is the return water temperature consistency method, and determines the subsequent operation according to the maximum valve opening of each balancing valve after adjustment, including: Based on the judgment result that the maximum valve opening is less than or equal to 90°, the weighted average return water temperature of each building is recalculated and the balancing valve is readjusted.

7. The cloud platform-based heating secondary side adaptive comprehensive linkage regulation system according to claim 6 is characterized in that: The linkage adjustment module calculates the weighted average return water temperature of each building and adjusts the balancing valve according to the judgment result that the balancing control method is the return water temperature consistency method, and determines the subsequent operation according to the maximum valve opening of each balancing valve after adjustment, and also includes: According to the judgment result that the maximum valve opening is greater than 90°, the size of the unfavorable heating end flow is identified and the average end flow is determined. According to the relationship between the average end flow and the flow limit range, the adjustment method of the circulation pump operating frequency is determined, and the adjusted flow data is sent to the intelligent heating module to adjust the secondary supply and return water temperature.

8. The cloud platform-based heating secondary side adaptive comprehensive linkage regulation system according to claim 7 is characterized in that: The linkage adjustment module determines the average terminal flow rate according to the flow rates of each unfavorable heating end, and determines the adjustment method of the operating frequency of the circulation pump according to the relationship between the average terminal flow rate and the flow limit range, including: If the terminal average flow rate is less than the flow limit range, it is determined to increase the operating frequency of the circulation pump; If the terminal average flow rate is greater than the flow limit range, it is determined to reduce the operating frequency of the circulation pump.

9. The cloud platform-based heating secondary side adaptive comprehensive linkage regulation system according to claim 5 is characterized in that: The linkage adjustment module sets the flow distribution coefficient to control the balancing valve for automatic adjustment based on the judgment result that the balancing control method is the flow distribution coefficient control method, identifies the valve opening of each unfavorable heating end and determines the average opening of the end, determines the adjustment method of the circulation pump operating frequency according to the average opening of the end, and sends the adjusted flow data to the intelligent heating module to adjust the secondary supply and return water temperature.

10. The cloud platform-based heating secondary side adaptive comprehensive linkage regulation system according to claim 1, characterized in that: The linkage adjustment module determines the average value of the valve openings of each unfavorable heating end as the terminal average opening, and determines the adjustment method of the circulation pump operation frequency according to the terminal average opening, including: If the average opening of the terminal is less than the first opening limit, it is determined to reduce the operating frequency of the circulation pump; If the average opening of the terminal is greater than the second opening limit, it is determined to increase the operating frequency of the circulation pump; Wherein, the first opening limit value is smaller than the second opening limit value.

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