Intelligent control method of mixed water direct supply system

Abstract

The invention discloses an intelligent control method for a mixed water direct supply system, and relates to the technical field of mixed water control, and the method comprises the following steps: obtaining a heating building area corresponding to a mixed water direct supply system to be controlled, and dividing the heating building area into a plurality of heating areas; heat supply demand information of heat supply areas is collected regularly, and heat supply area portraits corresponding to all the heat supply areas are constructed according to the heat supply demand information to obtain multiple original heat supply area portraits; determining a plurality of pieces of control parameter information corresponding to the plurality of heating areas based on the plurality of original heating area portraits, establishing a corresponding relationship between the plurality of original heating area portraits and the plurality of pieces of control parameter information, and determining primary control parameter information corresponding to each heating area based on the corresponding relationship; control rules for the plurality of heating areas are set on the basis of the correspondence relationship. The demand information of the heating area can be automatically collected, the water mixing control parameters are determined, and therefore accurate control over the water mixing control system is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of mixing water control, and particularly relates to an intelligent control method for a mixing water direct supply system. Background Art

[0002] A mixing water direct supply system is an efficient heating method. It mixes the primary pipe network water supply with a part of the user's return water through a mixing valve, and then supplies it to the heat user after being pressurized and adjusted to the required parameters by a circulating water pump. When using the existing control method of the mixing water direct supply system, precise adjustment is required according to factors such as heating demand. During the adjustment, it is impossible to flexibly adjust according to the actual demands of different heating areas, resulting in frequent regulation of the mixing water ratio, thereby affecting the control effect of the mixing water direct supply system. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent control method for a mixing water direct supply system to solve the deficiencies in the background art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: An intelligent control method for a mixing water direct supply system, comprising the following steps:

[0005] Obtain the heating building area corresponding to the mixing water direct supply system to be controlled, and divide the heating building area into multiple heating areas; regularly collect the heating demand information of the heating areas, and construct the corresponding heating area portraits for each heating area to obtain multiple original heating area portraits;

[0006] Based on multiple original heating area portraits, determine multiple control parameter information corresponding to multiple heating areas, and establish the corresponding relationship between multiple original heating area portraits and multiple control parameter information. Based on the corresponding relationship, determine the primary control parameter information corresponding to each heating area;

[0007] Set the control rules for multiple heating areas based on the corresponding relationship, where the control rules include common control and separate control; control multiple heating areas based on the control rules;

[0008] Obtain the heating demand information of the heating area corresponding to the original heating area portrait to obtain the original heating demand information, obtain the current heating demand information of the heating area corresponding to the original heating area portrait, compare the original heating demand information with the current heating demand information, and extract the difference feature information between the two; based on the difference feature information, correct the primary control parameter information corresponding to the current heating area to obtain the target control parameter information;

[0009] Control the mixing water direct supply system of the current heating area according to the target control parameter information based on the control rule corresponding to the current heating area.

[0010] In a preferred embodiment, the steps of regularly collecting heating demand information of heating areas and constructing heating area portraits corresponding to each heating area based on the heating demand information to obtain a plurality of original heating area portraits include:

[0011] Regularly collect heating demand information of heating areas, where the heating demand information includes first characteristic information and second characteristic information. The first characteristic information includes outdoor temperature information and pipeline performance information, and the second characteristic information includes personnel flow information, user preference information, and mixing water time period information;

[0012] Determine the outdoor temperature information and pipeline performance information corresponding to each heating area according to the first characteristic information, and determine the environmental labels of each heating area according to the outdoor temperature information and pipeline performance information;

[0013] Determine the personnel flow information, user preference information, and mixing water time period information of each heating area within a preset sampling period according to the second characteristic information; determine the user labels of each heating area according to the personnel flow information, user preference information, and mixing water time period information;

[0014] Construct the original heating area portraits of each heating area according to the environmental labels and user labels, and obtain a plurality of original heating area portraits corresponding to a plurality of heating areas.

[0015] In a preferred embodiment, the steps of establishing a correspondence relationship between a plurality of original heating area portraits and a plurality of control parameter information include:

[0016] Evaluate the heating demand temperature value of the corresponding heating area based on the original heating area portrait, classify the heating areas corresponding to a plurality of original heating area portraits based on a preset temperature threshold, and divide the heating areas corresponding to the heating demand temperature values that meet the same preset temperature threshold into the same area level;

[0017] Determine the control parameter information corresponding to each area level based on the preset temperature threshold corresponding to the area level, where the control parameter information includes supply water temperature value, supply water flow value, return water temperature value, return water flow value, and mixing ratio value;

[0018] One-to-one correspond the original heating area portrait corresponding to the area level with the control parameter information corresponding to the area level to obtain the correspondence relationship between a plurality of original heating area portraits and a plurality of control parameter information, so as to determine the correspondence relationship between the area level to which the heating area belongs and the control parameter information;

[0019] Use the control parameter information corresponding to the area level as the primary control parameter information corresponding to each heating area within the area level.

[0020] In a preferred embodiment, the control rules for multiple heating areas are set based on the corresponding relationship; the steps of determining the control rules for multiple heating areas based on the control rules include:

[0021] Extract the heating areas of the same area level based on the corresponding relationship, obtain multiple heating areas of the same area level, and combine the multiple heating areas in pairs to evaluate the similarity between any two heating areas, obtaining multiple similarity values;

[0022] Separate and control the two heating areas corresponding to the similarity that does not meet the preset similarity threshold to obtain the control rules;

[0023] Jointly control the two heating areas corresponding to the similarity that meets the preset similarity threshold to obtain the control rules;

[0024] Determine the heating areas of other area levels except for the heating areas of the same area level based on the corresponding relationship, and separately control among the multiple other area levels to obtain the control rules.

[0025] In a preferred embodiment, the steps of combining the multiple heating areas in pairs to evaluate the similarity between any two heating areas and obtaining multiple similarity values include:

[0026] Obtain multiple heating areas in the same area level and make any pairwise combinations to obtain multiple pairs of heating areas;

[0027] Respectively obtain the heating demand information of each heating area in each pair, and evaluate the similarity of each pair of heating areas based on the heating demand information to obtain the similarity value corresponding to each pair of heating areas;

[0028] Obtain multiple similarity values based on the multiple pairs of heating areas.

[0029] In a preferred embodiment, the steps of comparing the original heating demand information with the current heating demand information and extracting the difference feature information therebetween; and correcting the primary control parameter information corresponding to the current heating area based on the difference feature information to obtain the target control parameter information include:

[0030] Construct an information integration model based on the second feature information;

[0031] Obtain the original second feature information corresponding to the original heating demand information, and obtain the current second feature information in the current heating demand information;

[0032] Based on the information integration model, respectively determine the original information integration diagram corresponding to the original second feature information and the current information integration diagram corresponding to the current second feature information;

[0033] Compare the original information synthesis diagram with the current information synthesis diagram, and use the characteristic information corresponding to the non-coincident nodes as the distinguishing characteristic information;

[0034] Obtain the primary control parameter information corresponding to the current heating area, and correct the primary control parameter information based on the distinguishing characteristic information to obtain the target control parameter information.

[0035] In a preferred embodiment, the step of constructing the information synthesis diagram model based on the second characteristic information includes:

[0036] Select a horizontal line on the two-dimensional plane as the baseline, and evenly distribute three nodes on the baseline. Among them, each node corresponds to the personnel flow information, user preference information, and mixing water time period information in the second characteristic information respectively;

[0037] Quantify the personnel flow information, user preference information, and mixing water time period information, and map each type of information in the vertical direction of the baseline according to the quantification result to obtain mapping points;

[0038] Determine the positions of the mapping points based on the numerical values of the personnel flow information, user preference information, and mixing water time period information, and sequentially connect the nodes and mapping points corresponding to each information on the two-dimensional plane to obtain the information synthesis diagram model.

[0039] In a preferred embodiment, the step of controlling the mixing direct supply system of the current heating area according to the target control parameter information based on the control rule corresponding to the current heating area includes:

[0040] Obtain the control rule of the current heating area and the control parameter information of the current heating area, and control the mixing direct supply system according to the corresponding control parameter information according to the control rule.

[0041] In the above technical solution, the technical effects and advantages provided by the present invention:

[0042] 1. By setting the control rule, the present invention can flexibly select common control or separate control to adapt to the changes in the mixing water demand of different heating areas, enhance the flexibility and adaptability of the mixing direct supply system. By comparing the original heating demand information and the current heating demand information, extracting the distinguishing characteristic information, and correcting the primary control parameter information, the control strategy can be continuously optimized, and the accuracy and timeliness of the control can be improved;

[0043] 2. The direct supply system of mixed water divides each heating area according to the environmental conditions and user conditions of each heating area, determines the heating demand information of each heating area, and thus determines the control rules corresponding to each heating area, which can improve the accuracy of controlling the direct supply system of mixed water, and there is no need to change the heating due to short-term temperature rise or fall, avoiding the frequent regulation of the mixing ratio and improving the control efficiency of the mixed water system. Brief Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

[0045] Figure 1 It is the flowchart of the method of the present invention. Detailed Embodiments

[0046] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0047] Embodiment, please refer to Figure 1 As shown, an intelligent control method for a direct supply system of mixed water in this embodiment includes the following steps:

[0048] S1: Obtain the heating building area corresponding to the direct supply system of mixed water to be controlled, and divide the heating building area into multiple heating areas; regularly collect the heating demand information of the heating areas, and construct the heating area portraits corresponding to each heating area according to the heating demand information to obtain multiple original heating area portraits;

[0049] Specifically, the heating building area is divided according to the user rooms, and each household corresponds to a direct supply system of mixed water for heating, which at least includes devices such as a mixing valve. Dividing according to users can facilitate whether to enable control simultaneously or separately. When controlling multiple heating areas simultaneously, only one control parameter information can be started, which can adapt to multiple user families' houses, thereby reducing the calculation of control parameter information and directly performing the mixing strategy for the heating area, improving the control efficiency of the mixed water system;

[0050] The steps of regularly collecting heating demand information for heating areas and constructing heating area portraits corresponding to each heating area based on the heating demand information to obtain multiple original heating area portraits include:

[0051] Regularly collect heating demand information for heating areas. The heating demand information includes first characteristic information and second characteristic information. The first characteristic information includes outdoor temperature information and pipeline performance information. The second characteristic information includes personnel flow information, user preference information, and mixing water time period information. Determine the outdoor temperature information and pipeline performance information corresponding to each heating area according to the first characteristic information, and determine the environmental label of each heating area according to the outdoor temperature information and pipeline performance information. Determine the personnel flow information, user preference information, and mixing water time period information of each heating area within a preset sampling period according to the second characteristic information. Determine the user label of each heating area according to the personnel flow information, user preference information, and mixing water time period information. Construct the original heating area portrait of each heating area according to the environmental label and user label, and obtain multiple original heating area portraits corresponding to multiple heating areas.

[0052] It should be noted that the pipeline performance information includes pipeline flow information and pipeline heat preservation performance, etc.

[0053] Specifically, the environmental label can be the environmental situation within each heating area, and the environmental situation includes characteristic labels of outdoor temperature information and pipeline performance information. The user label can be a characteristic label of user-related information in each heating area. The personnel flow information can be the frequency of personnel flow or the change in the number of people in each heating area within a preset sampling period. The user preference information can be the body sensation preference of each user in each heating area. For example, some people like it colder and some like it hotter, etc. The mixing water time period information is the fixed heating time period within each heating area. For example, some are fixed from 7 pm to 9 pm every night and must use heating, then corresponding mixing water is required. Some have unfixed mixing water times and have different mixing water requirements at different time periods according to user conditions. The preset sampling period can be one hour, half a day, or one day, etc.

[0054] The direct supply system with mixed water divides each heating area according to the environmental conditions and user conditions of each heating area, determines the environmental labels of each heating area to determine the corresponding environmental characteristics, collects the personnel flow information of each heating area based on a preset sampling period through externally connected sensors, determines the personnel flow conditions of each heating area according to the collection results, so as to determine the second characteristic information of each heating area, determines the user labels of each heating area according to the second characteristic information to determine the user characteristics of each heating area, constructs the heating area portraits of each heating area according to the user labels and environmental labels, so as to determine the mixed water control demand characteristics of each heating area. For example, in the personnel flow information, if there are many people gathering, the mixed water ratio of the corresponding heating area is appropriately reduced. If the staying time of people is too short, the mixed water ratio of the direct supply system with mixed water does not need to be adjusted, so as to improve the accuracy of the control of the direct supply system with mixed water, avoid changing the heating due to short-term heating or cooling, and avoid frequent regulation of the mixed water ratio, and improve the control efficiency of the mixed water system.

[0055] S2: Determine multiple control parameter information corresponding to multiple heating areas based on multiple original heating area portraits, establish the corresponding relationship between multiple original heating area portraits and multiple control parameter information, and determine the primary control parameter information corresponding to each heating area based on the corresponding relationship.

[0056] The steps of establishing the corresponding relationship between multiple original heating area portraits and multiple control parameter information include:

[0057] Evaluate the heating demand temperature value of the corresponding heating area based on the original heating area portrait, classify the heating areas corresponding to multiple original heating area portraits based on a preset temperature threshold, and divide the heating areas corresponding to the heating demand temperature values that meet the same preset temperature threshold into the same area level; determine the control parameter information corresponding to each area level based on the preset temperature threshold corresponding to the area level, where the control parameter information includes the supply water temperature value, the supply water flow value, the return water temperature value, the return water flow value, and the mixing ratio value; establish a one-to-one correspondence between the original heating area portrait corresponding to the area level and the control parameter information corresponding to the area level to obtain the corresponding relationship between multiple original heating area portraits and multiple control parameter information, so as to determine the corresponding relationship between the area level to which the heating area belongs and the control parameter information; use the control parameter information corresponding to the area level as the primary control parameter information corresponding to each heating area within the area level.

[0058] It should be noted that the corresponding relationship between multiple original heating area portraits and multiple control parameter information is also the corresponding relationship between the heating area corresponding to the original heating area portrait and the control parameter information.

[0059] Specifically, the heating demand temperature values of multiple original heating area portraits are evaluated, and multiple preset temperature thresholds are set. Each preset temperature threshold corresponds to a control parameter information, which includes the supply water temperature value, the supply water flow value, the return water temperature value, the return water flow value, and the mixing ratio value. By using the maximum and minimum values of the preset temperature thresholds, the specific values of the control parameter information are calculated respectively. For example, when the supply water temperature is a °C and the return water temperature is b °C, according to the maximum and minimum values of the preset temperature thresholds, the amount of water at a °C and the amount of water at b °C are determined respectively. Among the total supply water flow per unit time, the ratio of a to b is used as the mixing ratio value, and the flow values corresponding to the supply water and the return water are used as the supply water flow value and the return water flow value respectively, so as to obtain a ratio interval corresponding to the mixing ratio value of a control parameter information. The middle value of the ratio interval is used as the control parameter information corresponding to the preset temperature threshold. After determining the preset temperature threshold where the heating demand temperature value corresponding to the original heating area portrait is located, the heating area corresponding to the original heating area portrait is classified by level, and the control parameter information corresponding to the classified heating area is used as the primary control parameter information of the heating area, so that the control parameter information of each heating area corresponding to similar heating demand temperature values can be quickly determined, and the direct mixing water supply system of each heating area is controlled through the control parameter information;

[0060] Based on the preset temperature thresholds corresponding to the area levels, determine the specific content of the control parameter information corresponding to each area level: Measure the supply water temperature (t1g) of the high-temperature water in the primary pipeline network, measure the return water temperature (t2h) of the low-temperature water in the secondary pipeline network, and measure the supply water temperature (t2g) of the secondary pipeline network (which is the supply water temperature after mixing and needs to meet the heating demand temperature). According to the heat balance principle, the heat released by the water in the primary pipeline network entering the mixing device per unit time is equal to the heat absorbed by the water in the secondary pipeline network entering the mixing device. From this, the relationship between the mixing ratio (N) and the supply and return water temperatures of the primary and secondary pipeline networks can be deduced: N = G2h / G1g = (t1g - t2g) / (t2g - t2h) where: N is the mixing ratio, t1g is the supply water temperature of the primary pipeline network, G2h is the return water mixing flow of the secondary pipeline network, t2g is the supply water temperature of the secondary pipeline network (i.e., the heating demand temperature), G1g is the supply water mixing flow of the primary pipeline network, and t2h is the return water temperature of the secondary pipeline network; Substitute the known values: Substitute the measured supply water temperature (t1g) of the primary pipeline network, the return water temperature (t2h) of the secondary pipeline network, and the heating demand temperature (t2g) into the above formula. Calculate the mixing ratio (N) through the above formula. According to the calculated mixing ratio (N), adjust the control parameters in the mixing device, such as the flow regulating valve, the rotation speed of the mixing pump, etc., to ensure that the actual mixing ratio is consistent with the calculated mixing ratio;

[0061] S3: Set the control rules for multiple heating areas based on the corresponding relationship, where the control rules include joint control and separate control; control the multiple heating areas based on the control rules;

[0062] Set the control rules for multiple heating areas based on the corresponding relationship; the steps of determining the control rules for multiple heating areas based on the control rules include:

[0063] Extract the heating areas of the same area level based on the corresponding relationship, obtain multiple heating areas of the same area level, and combine the multiple heating areas in pairs to evaluate the similarity between any two heating areas to obtain multiple similarity values; separately control the two heating areas corresponding to the similarity that does not meet the preset similarity threshold to obtain the control rules; jointly control the two heating areas corresponding to the similarity that meets the preset similarity threshold to obtain the control rules; determine the heating areas of other area levels except the heating areas of the same area level based on the corresponding relationship, and separately control between the multiple other area levels to obtain the control rules;

[0064] It should be noted that the preset similarity threshold means that in the case of meeting the preset similarity threshold, two heating areas can use the same control parameter information to complete the heating requirements of the heating area; separate control means using control parameter information of different area levels, and joint control means using control parameter information corresponding to the same area level;

[0065] Specifically, the determination of the same area level is controlled separately or simultaneously, and then it is determined whether to control separately or simultaneously according to the similarity between the heating areas of the same area level. The direct mixing water supply systems corresponding to the heating areas of different area levels are controlled separately. Suppose there are three area levels, A, B, and C, and each area level contains three heating areas. Specifically, the A area level includes heating areas a1, a2, and a3; the B area level includes heating areas b1, b2, and b3; the C area level includes heating areas c1, c2, and c3. Among them, the areas that need heating are heating areas a1, a2, b2, and c3. At this time, heating areas a1 and a2 are heating areas of the same level, and heating areas b2 and c3 are heating areas of different levels. Then, heating areas a1 and a2 are bound, and they are controlled jointly or separately. It is judged whether the similarity meets the preset threshold. If it meets, they are controlled simultaneously, that is, sharing the same control parameter information, that is, applying the control parameter information to heating areas a1 and a2 at the same time. If it does not meet, they are controlled separately. The control rules for heating areas b2 and c3 are set to be controlled separately, that is, using different control parameter information, and the mixing water ratio is adjusted to the control parameter information corresponding to the heating area respectively. The same control parameter information can be used for heating areas with relatively high similarity, and those with low similarity are controlled separately, which can improve the system regulation efficiency and enhance the system stability. By reasonably dividing the heating areas and adopting corresponding control parameters, the fluctuations of the heating system can be reduced. Using the same control parameter for areas with high similarity can make the system more stable in these areas and reduce the system instability caused by frequent parameter adjustment;

[0066] The steps of combining multiple heating areas in pairs to evaluate the similarity between any two heating areas and obtaining multiple similarity values include: obtaining multiple heating areas in the same area level and making any pairwise combinations to obtain multiple pairs of heating areas; respectively obtaining the heating demand information of each heating area in each pair, and evaluating the similarity of each pair of heating areas based on the heating demand information to obtain the similarity value corresponding to each pair of heating areas; obtaining multiple similarity values based on the multiple pairs of heating areas;

[0067] It should be noted that the evaluation of similarity can use cosine similarity or the similarity between the heating demand information of two heating areas. The cosine similarity formula is defined as where, is the dot product of vectors, and are the norms (lengths) of the vectors respectively. For each pair of heating areas, the cosine similarity between the two heating demand information is calculated respectively. A represents the set of heating demand information corresponding to one of the heating areas in each pair of heating areas, and B represents the set of heating demand information corresponding to the other heating area in each pair of heating areas;

[0068] Specifically, the reason for judging the similarity between two heating areas in the same area level is that even in the same level, they may be two extremes. For example, one corresponds to the maximum value of the preset temperature threshold, and the other corresponds to the minimum value of the preset temperature threshold. At this time, although the heating demands of the two heating areas belong to the same category, if the difference information between them is too large, it will still affect the control of the mixing water ratio. Therefore, heating areas with high similarity, even in the same area level, need to meet a certain similarity to ensure that the mixing water ratio can better meet the heating demands of the heating areas; Suppose heating area a1, heating area a2, heating area a3, and heating area a4 are heating areas of the same level. When making any pairwise combinations, the combination results include heating area a1 and heating area a2 as a pair, heating area a1 and heating area a3 as a pair, heating area a1 and heating area a4 as a pair, heating area a2 and heating area a3 as a pair, heating area a2 and heating area a4 as a pair, and heating area a3 and heating area a4 as a pair. After the above pairwise combinations, the similarity values of each pair of heating areas are evaluated. The cosine similarity can be used to calculate the similarity values;

[0069] S4: Obtain the heating demand information of the heating area corresponding to the original heating area portrait to get the original heating demand information, obtain the current heating demand information of the heating area corresponding to the original heating area portrait, compare the original heating demand information with the current heating demand information and extract the difference feature information between the two; Based on the difference feature information, correct the primary control parameter information corresponding to the current heating area to obtain the target control parameter information;

[0070] Compare the original heating demand information with the current heating demand information and extract the differential feature information between the two. The steps of correcting the primary control parameter information corresponding to the current heating area based on the differential feature information to obtain the target control parameter information include: constructing an information integration model based on the second feature information; obtaining the second feature information corresponding to the original heating demand information to obtain the original second feature information, and obtaining the second feature information in the current heating demand information to obtain the current second feature information; respectively determining the original information integration diagram corresponding to the original second feature information and the current information integration diagram corresponding to the current second feature information based on the information integration model; comparing the original information integration diagram with the current information integration diagram, and taking the feature information corresponding to the non-overlapping nodes as the differential feature information; obtaining the primary control parameter information corresponding to the current heating area, and correcting the primary control parameter information based on the differential feature information to obtain the target control parameter information;

[0071] Specifically, by using the information integration model to determine the regional information of the current second feature information and the original second feature information, and determining the change situation of the second feature information of the current heating area, it is possible to timely control the direct mixing water supply system so that it can better serve the heating area. For example, when the personnel flow information changes compared with before, the mixing ratio of the primary control parameter is adjusted. When the number of people decreases, the proportion of the water supply is increased. When the number of people increases, the proportion of the water supply is decreased. When the user preference is cooler, the proportion of the water supply is appropriately decreased, and vice versa, it is increased. When the mixing water time period information is different, the control rule is modified. Taking the shorter time as the standard, the mixing water duration for users with a longer time is increased. According to the second feature information, the primary control parameter information and the control rule are finely adjusted and corrected to make them more adaptable to user needs and improve the heating effect brought by the control of the direct mixing water supply system;

[0072] The steps of constructing an information integration diagram model based on the second feature information include: selecting a horizontal line on the two-dimensional plane as the baseline, and equally spacing three nodes on the baseline. Among them, each node corresponds to the personnel flow information, user preference information, and mixing water time period information in the second feature information respectively; quantifying the personnel flow information, user preference information, and mixing water time period information, and mapping each type of information in the vertical direction of the baseline according to the quantization result to obtain the mapping points; determining the positions of the mapping points based on the numerical values of the personnel flow information, user preference information, and mixing water time period information, and connecting the nodes and mapping points corresponding to each information on the two-dimensional plane in sequence to obtain the information integration diagram model;

[0073] It should be noted that the quantification process for personnel flow information, user preference information, and water mixing time period information can be the change index of personnel flow information, the change index of user preference information, and the change index of water replacement time period information;

[0074] Specifically, arbitrarily select a horizontal line on the two-dimensional plane and set three nodes on the horizontal line. Each node corresponds to one piece of information. After the information is quantified, it is represented by a change index. According to the magnitude of the change index, the end point of each piece of information is mapped on the two-dimensional plane to obtain a mapping point. The larger the information change index, the higher the end point can be set, and the position of the end point and the position of the initial node of the corresponding information are on the same vertical line. Connect the mapping points in sequence, connect the nodes in sequence, connect the first node with the first mapping point, and connect between the last node and the last mapping point to obtain an information synthesis diagram, thus completing the construction of the information synthesis diagram model. According to the constructed information synthesis diagram model, it is convenient to determine the distinguishing feature information, thereby determining the demand change of the heating area and then controlling the water mixing to improve the accuracy of determining the water mixing ratio and the accuracy of water mixing control.

[0075] S5: Control the direct water mixing system of the current heating area according to the target control parameter information based on the control rule corresponding to the current heating area;

[0076] The steps of controlling the direct water mixing system of the current heating area according to the target control parameter information based on the control rule corresponding to the current heating area include: obtaining the control rule of the current heating area and the control parameter information of the current heating area, and controlling the direct water mixing system according to the corresponding control parameter information according to the control rule;

[0077] In the present invention, the heating area is divided into regions, the heating demand information within the region is obtained, the regional portraits of each heating area are constructed according to the heating demand information, and the heating areas of the same level are classified according to the temperature threshold according to the personnel flow and pipeline performance conditions. Control rules are set for the heating areas of the same level. The control rules include simultaneous control and separate control. Simultaneous startup includes starting the control of at least two regions simultaneously. If they are exactly the same, simultaneous control is performed. If there is one difference, separate control is performed. When performing separate control, the control strategy is corrected according to the difference between the current regional portrait and the portrait of the graded region; when performing simultaneous control, the control strategy is corrected according to the difference information between the two regional portraits to make it more in line with the control strategy of the target region.

[0078] As described above, it is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claimed rights.

Claims

1. An intelligent control method for a direct mixing water supply system, characterized in that: It includes the following steps: Obtain the heating building area corresponding to the direct mixing water supply system to be controlled, and divide the heating building area into multiple heating areas; Regularly collect the heating demand information of the heating areas, and construct the heating area portraits corresponding to each heating area according to the heating demand information to obtain multiple original heating area portraits; Based on multiple original heating area portraits, determine multiple control parameter information corresponding to multiple heating areas, establish the corresponding relationship between multiple original heating area portraits and multiple control parameter information, and determine the primary control parameter information corresponding to each heating area based on the corresponding relationship; Set the control rules for multiple heating areas based on the corresponding relationship, where the control rules include common control and separate control; control multiple heating areas based on the control rules; Obtain the heating demand information of the heating area corresponding to the original heating area portrait to obtain the original heating demand information, obtain the current heating demand information of the heating area corresponding to the original heating area portrait, compare the original heating demand information with the current heating demand information and extract the difference feature information between the two; correct the primary control parameter information corresponding to the current heating area based on the difference feature information to obtain the target control parameter information; Control the direct mixing water supply system of the current heating area according to the target control parameter information based on the control rule corresponding to the current heating area.

2. The intelligent control method of a mixing direct supply system according to claim 1, characterized in that: The step of regularly collecting the heating demand information of the heating areas and constructing the heating area portraits corresponding to each heating area according to the heating demand information to obtain multiple original heating area portraits includes: Regularly collect the heating demand information of the heating areas, where the heating demand information includes first feature information and second feature information, the first feature information includes outdoor temperature information and pipeline performance information, and the second feature information includes personnel flow information, user preference information, and mixing water time period information; Determine the outdoor temperature information and pipeline performance information corresponding to each heating area according to the first feature information, and determine the environmental label of each heating area according to the outdoor temperature information and pipeline performance information; Determine the personnel flow information, user preference information, and mixing water time period information of each heating area within a preset sampling period according to the second feature information; determine the user label of each heating area according to the personnel flow information, user preference information, and mixing water time period information; Construct the original heating area portraits of each heating area according to the environmental label and user label, and obtain multiple original heating area portraits corresponding to multiple heating areas.

3. The intelligent control method of a mixing water direct supply system according to claim 1, characterized in that: The step of establishing the corresponding relationship between multiple original heating area portraits and multiple control parameter information includes: Evaluate the heating demand temperature value of the corresponding heating area based on the original heating area portrait, classify the heating areas corresponding to multiple original heating area portraits based on a preset temperature threshold, and divide the heating areas corresponding to the heating demand temperature values that meet the same preset temperature threshold into the same area level; Determine the control parameter information corresponding to each area level based on the preset temperature threshold corresponding to the area level, where the control parameter information includes supply water temperature value, supply water flow value, return water temperature value, return water flow value, and mixing ratio value; One-to-one correspondence is established between the original heating area portraits corresponding to the area levels and the control parameter information corresponding to the area levels, to obtain the correspondence between multiple original heating area portraits and multiple control parameter information, so as to determine the correspondence between the area level to which the heating area belongs and the control parameter information; The control parameter information corresponding to the area level is used as the primary control parameter information corresponding to each heating area within the area level.

4. The intelligent control method of a direct mixing water supply system according to claim 1, characterized in that: Set the control rules for multiple heating areas based on the correspondence; The steps of determining the control rules for multiple heating areas based on the control rules include: Extract the heating areas of the same area level based on the correspondence, obtain multiple heating areas of the same area level, and combine the multiple heating areas in pairs to evaluate the similarity between any two heating areas, to obtain multiple similarity values; Separate control is performed on the two heating areas corresponding to the similarity that does not meet the preset similarity threshold to obtain the control rules; Common control is performed on the two heating areas corresponding to the similarity that meets the preset similarity threshold to obtain the control rules; Based on the correspondence, determine the heating areas of other area levels except the heating areas of the same area level, and perform separate control between the multiple other area levels to obtain the control rules.

5. The intelligent control method of a mixing direct supply system according to claim 4, characterized in that: The steps of combining multiple heating areas in pairs to evaluate the similarity between any two heating areas to obtain multiple similarity values include: Obtain multiple heating areas in the same area level and perform any pairwise combination to obtain multiple pairs of heating areas; Respectively obtain the heating demand information of each heating area in each pair, and evaluate the similarity of each pair of heating areas based on the heating demand information to obtain the similarity value corresponding to each pair of heating areas; Multiple similarity values are obtained based on multiple pairs of heating areas.

6. The intelligent control method of a mixing direct supply system according to claim 1, characterized in that: Compare the original heating demand information with the current heating demand information and extract the difference feature information between the two; The steps of correcting the primary control parameter information corresponding to the current heating area based on the difference feature information to obtain the target control parameter information include: Construct an information integration model based on the second feature information; Obtain the second feature information corresponding to the original heating demand information to obtain the original second feature information, and obtain the second feature information in the current heating demand information to obtain the current second feature information; Based on the information integration model, respectively determine the original information integration diagram corresponding to the original second feature information and the current information integration diagram corresponding to the current second feature information; Compare the original information integration diagram with the current information integration diagram, and use the feature information corresponding to the non-overlapping nodes as the difference feature information; Obtain the primary control parameter information corresponding to the current heating area, and correct the primary control parameter information based on the difference feature information to obtain the target control parameter information.

7. The intelligent control method of a direct mixing water supply system according to claim 6, characterized in that: The steps of constructing the information integration diagram model based on the second feature information include: Select a horizontal line on the two-dimensional plane as the baseline, and evenly distribute three nodes on the baseline. Among them, each node corresponds to the personnel flow information, user preference information, and mixing water time period information in the second feature information respectively; Quantify the personnel flow information, user preference information, and mixed water time period information, and map each type of information vertically on the baseline according to the quantification results to obtain mapping points; Determine the positions of the mapping points based on the values of the personnel flow information, user preference information, and mixed water time period information, and sequentially connect the nodes corresponding to each piece of information and the mapping points on the two-dimensional plane to obtain an information integration diagram model.

8. The intelligent control method of a mixing water direct supply system according to claim 1, characterized in that: The step of controlling the mixed water direct supply system in the current heating area according to the target control parameter information based on the control rules corresponding to the current heating area includes: Obtain the control rules of the current heating area and the control parameter information of the current heating area, and control the mixed water direct supply system according to the corresponding control parameter information according to the control rules.

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