A hot water hydraulic regulation system based on artificial intelligence

Abstract

The present invention relates to the field of hydraulic regulation, and in particular to an artificial intelligence-based hot water hydraulic regulation system, comprising: an effect monitoring module, used for periodically judging the heating status of a target monitoring area and determining a hydraulic anomaly coefficient of the target monitoring area; a difference analysis module, used for responding to a status analysis condition to determine a difference analysis strategy; a first difference analysis module, used for responding to a key condition to determine a division analysis method for each key analysis user, obtaining an environmental compensation parameter for each key analysis user, and responding to a key compensation condition to determine a key compensation user; a second difference analysis module, used for responding to an occlusion analysis condition to determine an abnormality analysis method for the target monitoring area; and an adjustment compensation module, used for responding to different difference analysis conditions to determine a compensation adjustment method. The present invention improves the effectiveness of hot water hydraulic regulation.

Description

Technical Field

[0001] The present invention relates to the field of hydraulic regulation, and in particular to a water supply hydraulic regulation system based on artificial intelligence. Background Art

[0002] The purpose of regulating the hot water hydronics is to ensure that the water flow in each branch of the centralized heating system reaches a balanced state. By precisely controlling the water flow, the hot water flows evenly throughout the entire heating pipe system to ensure that each branch can obtain sufficient heat and eliminate the uneven distribution of water flow in the system. The actual heating quality of the heating users is a reference for the hot water hydronic regulation process, and the actual heating effect of the end users has a greater reference value than the evaluation results of the heating uniformity of conventional users. Therefore, the accuracy of the monitoring results of the actual heating effect of the heating users has a great influence on the effectiveness of the hot water hydronic regulation. However, the actual heating quality of the heating users is affected by the actual environment and is easy to affect the effectiveness of the hot water hydronic regulation. Therefore, how to weaken the impact of environmental factors on the actual heating quality detection results of the heating users to improve the effectiveness of the hot water hydronic regulation and avoid energy loss caused by ineffective hot water hydronic regulation is an urgent problem to be solved by technical personnel in this field.

[0003] Chinese patent publication number CN117490118A discloses an intelligent hydraulically balanced heating system based on the Internet of Things, comprising a primary network, a plate heat exchanger, a secondary network, a water replenishment device, and a jet pump device. Data from the temperature and pressure sensors for the jet port, the ejection port, and the mixing port in the jet pump device in the secondary network are transmitted to a gateway via LORA communication, and the gateway transmits all data to a control device. When the user's hydraulic distribution is balanced, the user's indoor temperature is collected by temperature sensors in each room, and the temperature signal is transmitted to the gateway via LORA communication. The gateway transmits all data to the control device, which transmits the opening signal to the electric regulating actuator of the electric regulating valve in the primary network via cloud computing. However, the above solution has the following problems: it fails to compensate for the interference caused by environmental factors on the indoor temperature detection results of the heating user, resulting in low effectiveness of the performed hydraulic regulation of the hot water supply. Summary of the Invention

[0004] To this end, the present invention provides an artificial intelligence-based hot water hydraulic regulation system to overcome the problem in the prior art that the environmental factors cannot compensate for the interference of the indoor temperature detection results of the heating users, resulting in low effectiveness of the hot water hydraulic regulation performed.

[0005] To achieve the above objectives, the present invention provides a water supply hydraulic regulation system based on artificial intelligence, comprising:

[0006] An effect monitoring module is used to periodically detect the temperature reference value of each target heating user, respond to the status judgment condition, periodically judge the heating status of the target monitoring area, and determine the hydraulic anomaly coefficient of the target monitoring area;

[0007] a difference analysis module connected to the effect monitoring module for determining a difference analysis strategy in response to a state analysis condition, wherein the difference analysis strategy is to perform an environmental interference analysis on a target monitoring area, or to perform an occlusion parameter detection on each different user in the target monitoring area;

[0008] A first difference analysis module, connected to the difference analysis module, is configured to respond to key conditions to determine a division analysis method for each key analysis user, obtain environmental compensation parameters for each key analysis user, and respond to key compensation conditions to determine key compensation users, wherein the division analysis method is to divide the key analysis users according to the degree of overlap of change trends or the degree of overlap of direction;

[0009] a second difference analysis module, connected to the difference analysis module, for determining an abnormality analysis method of the target monitoring area in response to the occlusion analysis condition, wherein the abnormality analysis method is to determine the abnormality compensation parameter of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameter, or to determine the abnormality compensation parameter of the target monitoring area according to the reference abnormality coefficient and the user discrete coefficient;

[0010] An adjustment and compensation module is respectively connected to the difference analysis module, the first difference analysis module and the second difference analysis module, and is used to respond to different difference analysis conditions to determine the compensation adjustment method, and respond to the compensation judgment condition to determine whether to adjust the hydraulic abnormality coefficient.

[0011] Furthermore, the effect monitoring module responds to the state determination condition to determine the heating state of the target monitoring area;

[0012] If the state determination condition responded by the effect monitoring module is that the difference user ratio is greater than the preset difference user ratio, it is determined that the target monitoring area is in the first preset heating state;

[0013] The state determination condition responded by the effect monitoring module is that the difference user ratio is less than or equal to the preset difference user ratio and the user difference reference value is greater than the preset user difference reference value, then it is determined that the target monitoring area is in the second preset heating state.

[0014] Further, the difference analysis module is responsive to the state analysis condition to determine a difference analysis strategy;

[0015] If the state analysis condition responded by the difference analysis module is that the target monitoring area is in the first preset heating state, it is determined to perform environmental interference analysis on the target monitoring area;

[0016] If the state analysis condition responded by the difference analysis module is that the target monitoring area is in the second preset heating state, it is determined to perform shielding parameter detection on each difference user in the target monitoring area.

[0017] Furthermore, the first difference analysis module detects the environmental compensation parameters of each key analysis user in response to the first difference analysis condition;

[0018] If the key compensation condition responded by the first difference analysis module is that the environment compensation parameter of a key analysis user is greater than the preset environment compensation parameter, the key analysis user is determined to be a key compensation user;

[0019] The first difference analysis condition is that the difference analysis module determines to perform environmental interference analysis on the target monitoring area.

[0020] Furthermore, the first difference analysis module responds to the key conditions to determine a division analysis method for each key analysis user;

[0021] If the key condition of the response of the first difference analysis module is that the reference fluctuation coefficient is greater than the preset reference fluctuation coefficient, it is determined that the key analysis users are divided according to the overlap of the change trends;

[0022] If the key condition responded by the first difference analysis module is that the reference fluctuation coefficient is less than or equal to the preset reference fluctuation coefficient, it is determined that the key analysis users are divided according to the orientation overlap;

[0023] The key analysis users are difference users whose effective window-to-wall ratio is greater than a preset effective window-to-wall ratio.

[0024] Furthermore, the first difference analysis module responds to a type of division analysis condition and detects the reference difference phase and the optimal radiation period of each radiation analysis combination to determine the interference period overlap coefficient of each radiation analysis combination;

[0025] Determine the environmental compensation parameters of key analysis users in each radiation analysis combination based on the interference period overlap coefficient and the radiation reference value;

[0026] The change trend overlap of any radiation analysis combination is greater than the preset change trend overlap;

[0027] The first type of division analysis condition is that all key analysis users within the target monitoring area whose reference fluctuation coefficient is greater than a preset reference fluctuation coefficient have completed division.

[0028] Furthermore, the first difference analysis module responds to the two-category division analysis condition and determines the environmental compensation parameters of the key analysis users in each orientation analysis combination according to the effective window-to-wall ratio and the environmental interference reference value;

[0029] The orientation overlap of any orientation analysis combination is greater than the preset orientation overlap;

[0030] The second-category division analysis condition is that the reference fluctuation coefficient in the target monitoring area is less than or equal to the preset reference fluctuation coefficient and all key analysis users have completed the division.

[0031] Furthermore, the second difference analysis module detects the occlusion parameters of each difference user in response to the second difference analysis condition, and determines an abnormality analysis method for the target monitoring area in response to the occlusion analysis condition;

[0032] If the occlusion analysis condition responded by the second difference analysis module is that the proportion of users with occlusion overlap is greater than the preset proportion of users with occlusion overlap, it is determined that the second difference analysis module determines the abnormal compensation parameter of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameter;

[0033] If the occlusion analysis condition responded by the second difference analysis module is that the proportion of users with occlusion overlap is less than or equal to the preset proportion of users with occlusion overlap, it is determined that the second difference analysis module determines the abnormality compensation parameter of the target monitoring area according to the reference abnormality coefficient and the user dispersion coefficient;

[0034] The second difference analysis condition is that the difference analysis module determines to perform occlusion parameter detection on each difference user in the target monitoring area.

[0035] Furthermore, the adjustment and compensation module responds to different difference analysis conditions to determine the compensation adjustment mode;

[0036] The adjustment and compensation module responds to the first difference analysis condition and determines to detect the interference overlap of the target monitoring area;

[0037] The adjustment and compensation module responds to the second difference analysis condition and determines to increase and adjust the hydraulic abnormality coefficient according to the abnormal compensation parameter;

[0038] The increase in the hydraulic anomaly coefficient is positively correlated with the anomaly compensation parameter.

[0039] Furthermore, the adjustment and compensation module responds to the compensation determination condition to determine whether to adjust the hydraulic abnormality coefficient;

[0040] The compensation determination condition responded by the adjustment compensation module is that the interference overlap is greater than the preset interference overlap, and then it is determined to reduce the hydraulic anomaly coefficient of the target monitoring area according to the interference overlap and the reference overlap compensation parameter;

[0041] The reduction value of the hydraulic anomaly coefficient is positively correlated with the interference coincidence degree and the reference coincidence compensation parameter.

[0042] Compared with the prior art, the beneficial effect of the present invention lies in that the technical solution of the present invention determines the heating status of the target monitoring area according to the proportion of difference users and the user difference reference value, and determines a targeted difference analysis strategy according to the heating status of the target monitoring area, so as to accurately analyze the impact of the actual environment on the heating effect of each heating user in the target monitoring area, and ensure the accuracy of the compensation adjustment of the hydraulic anomaly coefficient of the target monitoring area. The present invention improves the effectiveness of the hydraulic regulation of hot water supply.

[0043] Furthermore, the effect monitoring module in the present invention determines the heating status of the target monitoring area based on the proportion of difference users and the user difference reference value. The two heating statuses determined can effectively characterize the differences between heating users in the target monitoring area, so that the subsequent choices made for the difference analysis strategy are more in line with the actual situation of the target monitoring area, and the accuracy of the compensation adjustment of the hydraulic anomaly coefficient of the target monitoring area is improved.

[0044] Furthermore, in the present invention, when the target monitoring area is in the first preset heating state, the first difference analysis module detects the environmental compensation parameters of each key analysis user, and determines the key compensation users based on this. When it is in the first preset heating state, it indicates that there are many difference users in the target monitoring area, and also indicates that there are difference users whose temperature effect reference values ​​are affected by environmental factors. Therefore, targeted environmental compensation analysis is performed on each key analysis user to determine the degree of impact on the temperature effect reference value, so as to compensate and adjust the hydraulic anomaly coefficient of the target monitoring area. The present invention improves the effectiveness of hot water hydraulic regulation.

[0045] Furthermore, the first difference analysis module in the present invention determines a targeted division analysis method based on the reference fluctuation coefficient. There are differences in the impact of temperature changes caused by different main influencing factors. The main influencing factors can be effectively determined by referring to the fluctuation coefficient. A targeted division analysis method is determined for key analysis users, and an overall environmental compensation analysis is performed on the combination obtained by division to obtain environmental compensation parameters, thereby improving the execution efficiency and accuracy of the environmental compensation analysis process.

[0046] Furthermore, the second difference analysis module in the present invention determines a targeted abnormality analysis method based on the proportion of users with overlapping occlusions, so that the determined abnormal compensation parameters are more in line with the actual situation. When the second difference analysis module performs analysis, there are fewer different users in the target monitoring area, but there are often large differences. By determining a targeted abnormality analysis method based on the proportion of users with overlapping occlusions, it is possible to effectively avoid interference with the actual heating detection results of each heating user due to different building occlusion conditions, further improving the effectiveness of the hydraulic abnormality coefficient adjustment. The present invention improves the effectiveness of hot water hydraulic regulation.

[0047] Furthermore, the adjustment and compensation module in the present invention determines a targeted compensation adjustment method according to different difference analysis conditions to ensure the accuracy of the adjustment of the hydraulic anomaly coefficient, and determines whether to reduce the hydraulic anomaly coefficient of the target monitoring area according to the interference overlap. If the interference overlap is large, it indicates that the environmental factors have interfered with the heating effect detection results. In this way, the hydraulic anomaly coefficient is adjusted to weaken the impact of environmental factors on the effectiveness of hot water hydraulic regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a module connection diagram of the artificial intelligence-based hot water hydraulic regulation system of the present invention;

[0049] Figure 2 A flow chart of the difference analysis module of the present invention responding to the state analysis condition to determine the difference analysis strategy;

[0050] Figure 3 A flow chart of the first difference analysis module of the present invention responding to key conditions to determine a division analysis method for each key analysis user;

[0051] Figure 4 The present invention provides a flow chart of adjusting the compensation module in response to compensation determination conditions to determine whether to make adjustments to the hydraulic abnormality coefficient. DETAILED DESCRIPTION

[0052] 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 merely used to explain the present invention and are not intended to limit the present invention.

[0053] 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 scope of protection of the present invention.

[0054] 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 accompanying drawings. This is only 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.

[0055] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0056] See also Figures 1 to 4 As shown, the present invention provides a hot water hydraulic regulation system based on artificial intelligence, comprising:

[0057] An effect monitoring module is used to periodically detect the temperature reference value of each target heating user, respond to the status judgment condition, periodically judge the heating status of the target monitoring area, and determine the hydraulic anomaly coefficient of the target monitoring area;

[0058] a difference analysis module connected to the effect monitoring module for determining a difference analysis strategy in response to a state analysis condition, wherein the difference analysis strategy is to perform an environmental interference analysis on a target monitoring area, or to perform an occlusion parameter detection on each different user in the target monitoring area;

[0059] A first difference analysis module, connected to the difference analysis module, is configured to respond to key conditions to determine a division analysis method for each key analysis user, obtain environmental compensation parameters for each key analysis user, and respond to key compensation conditions to determine key compensation users, wherein the division analysis method is to divide the key analysis users according to the degree of overlap of change trends or the degree of overlap of direction;

[0060] a second difference analysis module, connected to the difference analysis module, for determining an abnormality analysis method of the target monitoring area in response to the occlusion analysis condition, wherein the abnormality analysis method is to determine the abnormality compensation parameter of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameter, or to determine the abnormality compensation parameter of the target monitoring area according to the reference abnormality coefficient and the user discrete coefficient;

[0061] An adjustment and compensation module is respectively connected to the difference analysis module, the first difference analysis module and the second difference analysis module, and is used to respond to different difference analysis conditions to determine the compensation adjustment method, and respond to the compensation judgment condition to determine whether to adjust the hydraulic abnormality coefficient.

[0062] The application scenario of the present invention is the process of performing hot water hydraulic regulation for a target monitoring area, wherein the target monitoring area is an area requiring hot water hydraulic regulation. In the present invention, the buildings included in the target monitoring area are all buildings and contain a number of heating users, wherein the heating users are users involved in the hot water hydraulic regulation process. Each heating user has its corresponding house information recorded, and the house information includes, but is not limited to, house address, house number, heating area, and window-to-wall ratio, and the house address and house number of each heating user are different.

[0063] The present invention adopts a cyclic effect monitoring cycle, the duration of which can be determined by the user, and provides a duration of an effect monitoring cycle of 1 hour. At the end of each effect monitoring cycle, the temperature reference value of each heating user in the target monitoring area is detected, and the temperature reference value is the temperature in the house represented by the heating user at the detection time. The present invention also adopts a cyclic state determination cycle, the duration of which can be determined by the user, and provides a duration of 24 hours. At the end of each state determination cycle, the heating effect reference value of each heating user in the target monitoring area is obtained, the difference user is determined according to the heating effect reference value, and the heating state of the target monitoring area is determined according to the user difference reference value and the difference user ratio. For a single heating user, the heating effect reference value is the average value of the temperature reference value of the heating user detected each time in the current effect monitoring cycle, and the heating effect difference value is greater than the preset heating effect difference value. The heating effect difference value is the absolute value of the difference between the heating effect reference value and the heating effect average value. The heating effect average value is the average value of the heating effect reference value of each heating user in the target monitoring area.

[0064] The value of the preset heating effect difference value can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical evaluation record. The higher the user's requirement for the effectiveness of the heating hydraulic regulation, the smaller the value of the preset heating effect difference value. A method for determining the preset heating effect difference value is provided, in which the minimum value of the heating effect difference value of each different user in the regulation analysis record that meets the user's requirement for the effectiveness of the heating hydraulic regulation is recorded as the preset heating effect difference value;

[0065] In the present invention, heating users can be divided into end users and regular users. The end users are heating users whose pipeline transmission distance is greater than the preset pipeline transmission distance, and the regular users are heating users whose pipeline transmission distance is less than or equal to the preset pipeline transmission distance. For a single heating user, the pipeline transmission distance is the sum of the lengths of the hot water pipelines through which the hot water passes before being transmitted to the heating device provided by the heating user. The value of the preset pipeline transmission distance can be determined by the user according to the actual working scenario. For example, the user can set it according to historical evaluation records. The higher the user's requirements for the effectiveness of the heating hydraulic regulation, the larger the value of the preset pipeline transmission distance. A method for determining the value of the preset pipeline transmission distance is provided, and the average value of the pipeline transmission distances of each end user in the regulation analysis record that meets the user's requirements for the effectiveness of the heating hydraulic regulation is recorded as the preset pipeline transmission distance.

[0066] The hydraulic anomaly coefficient p is the number of end users in the target monitoring area, q is the number of regular users in the target monitoring area, m a is the heating effect difference value of the a-th end user in the target monitoring area, y b is the heating effect difference value of the bth conventional user in the target monitoring area, f m and f y The abnormality determination coefficients corresponding to the heating effect difference values ​​of the end users and the heating effect difference values ​​of the regular users are respectively. The values ​​of the abnormality determination coefficients corresponding to the heating effect difference values ​​of the end users and the heating effect difference values ​​of the regular users can be set by the user according to the actual working scenario. The values ​​of the abnormality determination coefficients corresponding to the heating effect difference values ​​of the end users and the heating effect difference values ​​of the regular users are provided. The value of the abnormality determination coefficient corresponding to the heating effect difference values ​​of the end users is 0.1, and the value of the abnormality determination coefficient corresponding to the heating effect difference values ​​of the regular users is 0.05;

[0067] The present invention applies several adjustment analysis records, and any one of the adjustment analysis records records the heating effect difference value, pipeline transmission distance of each end user, user difference reference value, difference user ratio, environmental compensation parameter, effective window-to-wall ratio, reference fluctuation coefficient, trend change difference value, change trend overlap, reference trend change value, orientation overlap, occlusion parameter, occlusion overlap user ratio and interference overlap during at least one heating hydraulic adjustment process for a target monitoring area, and each adjustment analysis record corresponds to a qualified mark, which records whether the effectiveness of the heating hydraulic adjustment meets the user's needs. It can be understood that the user can determine whether the effectiveness of the heating hydraulic adjustment meets the needs based on self-set indicators. The self-set indicators include but are not limited to: adjustment interval time, which is the time between each heating hydraulic adjustment and the next heating hydraulic adjustment;

[0068] Specifically, the effect monitoring module responds to the state determination condition to determine the heating state of the target monitoring area;

[0069] If the state determination condition responded by the effect monitoring module is that the difference user ratio is greater than the preset difference user ratio, it is determined that the target monitoring area is in the first preset heating state;

[0070] The state determination condition responded by the effect monitoring module is that the difference user ratio is less than or equal to the preset difference user ratio and the user difference reference value is greater than the preset user difference reference value, then it is determined that the target monitoring area is in the second preset heating state.

[0071] Among them, the proportion of difference users = the number of difference users in the target monitoring area / the number of heating users in the target monitoring area, the user difference reference value is the average value of the heating effect difference values ​​of each heating user in the target monitoring area, the preset user difference reference value and the value of the preset difference user proportion can be determined by the user according to the actual work scenario. For example, the user can set it according to the historical evaluation record, and provide a method for obtaining the preset user difference reference value, record the adjustment analysis record for abnormal compensation parameter detection in the target monitoring area as the state reference record, and record the average value of the user difference reference value in the state reference record that meets the user's requirements for the effectiveness of heating hydraulic regulation as the preset user difference reference value, and provide a method for obtaining the difference user proportion, record the maximum value of the difference user proportion in the state reference record that meets the user's requirements for the effectiveness of heating hydraulic regulation as the preset difference user proportion.

[0072] Specifically, the difference analysis module is responsive to the state analysis condition to determine a difference analysis strategy;

[0073] If the state analysis condition responded by the difference analysis module is that the target monitoring area is in the first preset heating state, it is determined to perform environmental interference analysis on the target monitoring area;

[0074] If the state analysis condition responded by the difference analysis module is that the target monitoring area is in the second preset heating state, it is determined to perform shielding parameter detection on each difference user in the target monitoring area.

[0075] Specifically, the first difference analysis module detects the environmental compensation parameters of each key analysis user in response to the first difference analysis condition;

[0076] If the key compensation condition responded by the first difference analysis module is that the environment compensation parameter of a key analysis user is greater than the preset environment compensation parameter, the key analysis user is determined to be a key compensation user;

[0077] The first difference analysis condition is that the difference analysis module determines to perform environmental interference analysis on the target monitoring area.

[0078] Among them, the value of the preset environmental compensation parameter can be determined by the user according to the actual working scenario. For example, the user can set it according to historical evaluation records. The higher the user's requirements for the effectiveness of heating hydraulic regulation, the larger the value of the preset environmental compensation parameter. A method for determining the value of the preset environmental compensation parameter is provided, and the adjustment analysis record of the environmental interference analysis for the target monitoring area is recorded as the analysis reference record, and the average value of the environmental compensation parameters of each key compensation user in the analysis reference record that meets the user's requirements for the effectiveness of heating hydraulic regulation is recorded as the preset environmental compensation parameter.

[0079] Specifically, the first difference analysis module responds to the key conditions to determine the division analysis method for each key analysis user;

[0080] If the key condition of the response of the first difference analysis module is that the reference fluctuation coefficient is greater than the preset reference fluctuation coefficient, it is determined that the key analysis users are divided according to the overlap of the change trends;

[0081] If the key condition responded by the first difference analysis module is that the reference fluctuation coefficient is less than or equal to the preset reference fluctuation coefficient, it is determined that the key analysis users are divided according to the orientation overlap;

[0082] The key analysis users are difference users whose effective window-to-wall ratio is greater than a preset effective window-to-wall ratio.

[0083] Among them, for a single difference user, the effective window-to-wall ratio = the effective window area of ​​the difference user / the sum of the exterior wall areas of the houses corresponding to the difference user, the effective window area is the sum of the areas of the interference windows of the difference user, the interference window is a window that can receive direct solar radiation within the current state determination period or a window whose wind direction angle with the wind direction within the current state determination period is greater than the preset wind direction angle, the wind direction angle is the smaller degree value of the angle formed by the wind direction and the window plane, and the value of the preset wind direction angle can be determined by the user according to the actual working scenario. For example, the user can set it according to historical evaluation records. The higher the user's requirements for the effectiveness of the heating hydraulic regulation, the larger the value of the preset wind direction angle. A value of the preset wind direction angle is provided, and the value of the preset wind direction angle is 50°;

[0084] The value of the preset effective window-to-wall ratio can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical evaluation record. The higher the user's requirement for the effectiveness of the heating hydraulic regulation, the larger the value of the preset effective window-to-wall ratio. A method for determining the value of the preset effective window-to-wall ratio is provided. The analysis reference record that satisfies the user's requirement for the effectiveness of the heating hydraulic regulation is used to analyze the minimum value of the user's effective window-to-wall ratio.

[0085] For a single key analysis user, the reference volatility coefficient n is the number of effect monitoring cycles included in the state determination cycle, Di is the temperature reference value of the i-th effect monitoring cycle of the key analysis user in the current state determination cycle, D0 is the heating effect reference value of the current state determination cycle, and the value of the preset reference fluctuation coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical evaluation records. A method for determining the value of the preset reference fluctuation coefficient is provided. The analysis reference records divided for the key analysis users according to the overlap of the change trend are recorded as the divided reference records. The minimum value of the reference fluctuation coefficient in the divided reference records that meets the user's requirements for the effectiveness of the heating hydraulic regulation is recorded as the preset reference fluctuation coefficient. The light radiation has strong and weak changes in the state determination cycle. The temperature reference value of the difference user with light radiation as the main influencing factor has obvious fluctuations. Therefore, the key analysis users are distinguished according to the reference fluctuation coefficient to determine their main influencing factors, so that the subsequent analysis method is more in line with the actual situation.

[0086] Specifically, the first difference analysis module responds to a type of division analysis condition and detects the reference difference phase and the optimal radiation period of each radiation analysis combination to determine the interference period overlap coefficient of each radiation analysis combination;

[0087] Determine the environmental compensation parameters of key analysis users in each radiation analysis combination based on the interference period overlap coefficient and the radiation reference value;

[0088] The change trend overlap of any radiation analysis combination is greater than the preset change trend overlap;

[0089] The first type of division analysis condition is that all key analysis users within the target monitoring area whose reference fluctuation coefficient is greater than a preset reference fluctuation coefficient have completed division.

[0090] Among them, the radiation analysis combination is a set of key analysis users obtained by dividing according to the overlap of change trends. In the current state determination period, for a single radiation analysis combination, the overlap of change trends = ln (overlap trend period ratio / reference trend difference value), the overlap trend period ratio = the number of overlap trend periods included in the state determination period / the number of effect monitoring periods included in the state determination period, the reference trend difference value is the average value of the trend change difference values ​​of each effect monitoring period in the state determination period, for a single effect monitoring period, if the trend change difference value of the radiation analysis combination is less than the preset trend change difference value, then the effect monitoring period is determined to be a overlap trend period, the trend change difference value is the absolute value of the difference between the maximum and minimum trend change values ​​of each key analysis user in the radiation analysis combination in the effect monitoring period, for a single key analysis user, the trend change value = the temperature reference value detected at the end time of the effect monitoring period - the temperature reference value detected at the end time of the previous effect monitoring period of the effect monitoring period;

[0091] The value of the preset trend change difference value can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical evaluation records. The higher the user's requirement for the effectiveness of the heating hydraulic regulation, the smaller the value of the preset trend change difference value. A method for determining the preset trend change difference value is provided, and the average value of the trend change difference values ​​of each overlapping trend period in the divided reference record that meets the user's requirement for the effectiveness of the heating hydraulic regulation is recorded as the preset trend change difference value; the value of the preset change trend coincidence degree can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical evaluation records. The higher the user's requirement for the effectiveness of the heating hydraulic regulation, the larger the value of the preset change trend coincidence degree is. A method for determining the preset change trend coincidence degree is provided, and the minimum value of the change trend coincidence degree of the radiation analysis combination in the divided reference record that meets the user's requirement for the effectiveness of the heating hydraulic regulation is recorded as the preset change trend coincidence degree;

[0092] For a single radiation analysis combination, the interference period overlap coefficient = optimal overlap duration / duration of the reference difference stage, the optimal overlap duration is the duration of overlap between the reference difference stage and the optimal radiation period, for a single overlap trend period, if the average value of the trend change values ​​of each key analysis user in the overlap trend period is greater than the preset reference trend change value, then the overlap trend period is recorded as the reference difference period, the end time of each effect monitoring period is detected for the light radiation value of the target monitoring area, and the average value of each light radiation value detected in the current state determination period is recorded as the radiation reference value, the reference difference stage is the set of reference difference periods in the current state determination period, the optimal radiation period is the set of effect monitoring periods in which each light radiation value in the current state determination period is greater than the preset radiation reference value, and the environmental compensation parameter is the product of the interference period overlap coefficient and the radiation reference value;

[0093] The values ​​of the preset reference trend change value and the preset radiation reference value can be determined by the user according to the actual working scenario. For example, the user can set them according to historical evaluation records. A method for taking the value of the preset reference trend change value is provided. The minimum value of the reference trend change value of the reference difference period in the divided reference record that meets the user's requirements for the effectiveness of heating hydraulic regulation is recorded as the preset reference trend change value. A value of a preset radiation reference value is provided, and the value of the preset radiation reference value is 130W / ㎡. In the present invention, a direct radiation meter is set at the highest point of each building in the target monitoring area to measure the solar radiation energy received per unit area per unit time. The light radiation value of the target monitoring area is detected at any time, and the average value of the current value of each direct radiation meter in the target monitoring area is recorded as the light radiation value. How to use the direct radiation meter is easy to understand for those skilled in the art and will not be elaborated here.

[0094] Specifically, the first difference analysis module responds to the two-category division analysis conditions and determines the environmental compensation parameters of the key analysis users in each orientation analysis combination according to the effective window-to-wall ratio and the environmental interference reference value;

[0095] The orientation overlap of any orientation analysis combination is greater than the preset orientation overlap;

[0096] The second-category division analysis condition is that the reference fluctuation coefficient in the target monitoring area is less than or equal to the preset reference fluctuation coefficient and all key analysis users have completed the division.

[0097] Among them, the orientation analysis combination is a set of key analysis users obtained by dividing according to the orientation coincidence. For a single orientation analysis combination, the orientation coincidence = 1 / orientation difference value, and the orientation difference value is the maximum absolute value of the difference in wind direction angles between the key analysis users in the orientation analysis combination. The value of the preset orientation coincidence can be determined by the user according to the actual working scenario. For example, the user can set it according to historical evaluation records. The higher the user's requirement for the effectiveness of heating hydraulic regulation, the greater the value of the preset orientation coincidence. A method for determining the value of the preset orientation coincidence is provided, and the average value of the orientation coincidence of the orientation analysis combination of the regulation analysis records that meets the user's requirement for the effectiveness of heating hydraulic regulation is set as the preset orientation coincidence;

[0098] For a single orientation analysis combination, the environmental compensation parameter of each key analysis user included in the orientation analysis combination is the product of the effective window-to-wall ratio and the environmental interference reference value, and the environmental interference reference value = ln (reference wind intensity of the current state judgment period × the average value of the wind direction angles of each key analysis user in the orientation analysis combination). At the end time of each effect monitoring period, the wind intensity of the target monitoring area is detected, and the average value of each wind intensities detected in the current state judgment period is recorded as the reference wind intensity. In the present invention, a wind vane and anemometer are set at the highest point of any building in the target monitoring area to obtain wind intensity and wind direction. How to use the wind vane and anemometer is easy to understand for technicians in this field and will not be elaborated here.

[0099] Specifically, the second difference analysis module detects the occlusion parameters of each difference user in response to the second difference analysis condition, and determines an abnormality analysis method for the target monitoring area in response to the occlusion analysis condition;

[0100] If the occlusion analysis condition responded by the second difference analysis module is that the proportion of users with occlusion overlap is greater than the preset proportion of users with occlusion overlap, it is determined that the second difference analysis module determines the abnormal compensation parameter of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameter;

[0101] If the occlusion analysis condition responded by the second difference analysis module is that the proportion of users with occlusion overlap is less than or equal to the preset proportion of users with occlusion overlap, it is determined that the second difference analysis module determines the abnormality compensation parameter of the target monitoring area according to the reference abnormality coefficient and the user dispersion coefficient;

[0102] The second difference analysis condition is that the difference analysis module determines to perform occlusion parameter detection on each difference user in the target monitoring area.

[0103] Among them, for a single difference user, the occlusion parameter is determined according to the building edge distance of the difference user and the number of adjacent heating users, and the occlusion parameter = 1 / (building edge distance + number of adjacent heating users). The building edge distance is the sum of the reference analysis distances between the difference user and the reference analysis planes of the building in which it is located. The reference analysis planes are the planes of the various outer surfaces of the building and the horizontal ground. The reference analysis planes parallel to each other are recorded as a group. For any group of reference analysis planes, the shortest distance between the location of the difference user and the above two reference analysis planes is detected, and the value of the shorter distance is recorded as the reference analysis distance of the group of reference analysis planes. The adjacent heating users are heating users who share a wall with the difference user.

[0104] The proportion of overlapping users with occlusion = the number of overlapping users with occlusion in the target monitoring area / the number of different users in the target monitoring area. The overlapping users with occlusion are different users whose occlusion parameters are greater than the preset occlusion parameters. The value of the preset occlusion parameter can be determined by the user according to the actual working scenario. For example, the user can set it according to the historical evaluation record. The higher the user's requirement for the effectiveness of the heating hydraulic regulation, the smaller the value of the preset occlusion parameter. A method for determining the value of the preset occlusion parameter is provided, which will meet the user's requirement for the effectiveness of the heating hydraulic regulation in the regulation analysis record. The minimum value of the blocking parameter for blocking overlapping users is recorded as the preset blocking parameter; the value of the preset blocking overlapping user ratio can be determined by the user according to the actual working scenario, for example, the user can set it according to the historical evaluation record, and a method for determining the value of the preset blocking overlapping user ratio is provided, and the adjustment analysis record for determining the abnormal compensation parameter of the target monitoring area according to the reference abnormality coefficient and the user discrete coefficient is recorded as the blocking reference record, and the maximum value of the blocking overlapping user ratio in the blocking reference record that meets the user's requirements for the effectiveness of the heating hydraulic regulation is recorded as the preset blocking overlapping user ratio;

[0105] If the proportion of occlusion overlapping users is greater than the preset proportion of occlusion overlapping users, the abnormal compensation parameter of the target monitoring area is determined according to the occlusion compensation coefficient and the reference occlusion parameter. The abnormal compensation parameter is the sum of the products of the occlusion compensation coefficient and the reference occlusion parameter and the corresponding parameter influence coefficient. The occlusion compensation coefficient is the number of end users whose occlusion parameter is greater than the preset occlusion parameter. The reference occlusion parameter is the average value of the occlusion parameters of each occlusion overlapping user. The values ​​of the occlusion compensation coefficient and the parameter influence coefficient corresponding to the reference occlusion parameter can be determined by the user according to the actual working scenario. The values ​​of the parameter influence coefficient corresponding to the occlusion compensation coefficient and the reference occlusion parameter are provided. The value of the parameter influence coefficient corresponding to the occlusion compensation coefficient is 0.7, and the value of the parameter influence coefficient corresponding to the reference occlusion parameter is 0.3.

[0106] If the proportion of occluded overlapping users is less than or equal to the preset proportion of occluded overlapping users, the abnormal compensation parameter of the target monitoring area is determined according to the reference abnormal coefficient and the user dispersion coefficient. The abnormal compensation parameter is the natural logarithm of the product of the reference abnormal coefficient and the user dispersion coefficient. For a single difference user, the user difference coefficient = the heating effect difference value of the difference user / the average heating effect value of the target monitoring area. The reference abnormal coefficient is the average value of the user difference coefficients of each difference user in the target monitoring area, and the user dispersion coefficient is the average value of the pipeline transmission distance of each difference user.

[0107] Specifically, the adjustment and compensation module responds to different difference analysis conditions to determine the compensation adjustment mode;

[0108] The adjustment and compensation module responds to the first difference analysis condition and determines to detect the interference overlap of the target monitoring area;

[0109] The adjustment and compensation module responds to the second difference analysis condition and determines to increase and adjust the hydraulic abnormality coefficient according to the abnormal compensation parameter;

[0110] The increase in the hydraulic anomaly coefficient is positively correlated with the anomaly compensation parameter.

[0111] Specifically, the adjustment and compensation module responds to the compensation determination condition to determine whether to adjust the hydraulic abnormality coefficient;

[0112] The compensation determination condition responded by the adjustment compensation module is that the interference overlap is greater than the preset interference overlap, and then it is determined to reduce the hydraulic anomaly coefficient of the target monitoring area according to the interference overlap and the reference overlap compensation parameter;

[0113] The reduction value of the hydraulic anomaly coefficient is positively correlated with the interference coincidence degree and the reference coincidence compensation parameter.

[0114] Wherein, the interference coincidence degree = the number of terminal compensation users in the target monitoring area / the number of terminal users in the target monitoring area, the terminal compensation user is the terminal user that serves as the key compensation user, the value of the preset interference coincidence degree can be determined by the user according to the actual working scenario, for example, the user can set it according to the historical evaluation record, and a method for determining the value of the preset interference coincidence degree is provided, and the adjustment analysis record for adjusting the hydraulic anomaly coefficient according to the interference coincidence degree and the reference coincidence compensation parameter is recorded as the coincidence reference record, and the minimum value of the interference coincidence degree in the coincidence reference record that meets the user's requirements for the effectiveness of the heating hydraulic regulation is recorded as the preset interference coincidence degree;

[0115] If the interference overlap of the target monitoring area is greater than the preset interference overlap, the hydraulic anomaly coefficient of the target monitoring area is reduced and adjusted according to the interference overlap and the reference overlap compensation parameter. The reference overlap compensation parameter is the average value of the environmental compensation parameters of each terminal compensation user in the target monitoring area. A type of compensation coefficient is determined according to the interference overlap and the reference overlap compensation parameter. The type of compensation coefficient is the natural logarithm of the product of the interference overlap and the reference overlap compensation parameter. The reduction value of the hydraulic anomaly coefficient is positively correlated with the type of compensation coefficient.

[0116] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0117] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A water supply hydraulic regulation system based on artificial intelligence, characterized in that: include: An effect monitoring module is used to periodically detect the temperature reference value of each target heating user, respond to the status judgment condition, periodically judge the heating status of the target monitoring area, and determine the hydraulic anomaly coefficient of the target monitoring area; a difference analysis module connected to the effect monitoring module for determining a difference analysis strategy in response to a state analysis condition, wherein the difference analysis strategy is to perform an environmental interference analysis on a target monitoring area, or to perform an occlusion parameter detection on each different user in the target monitoring area; A first difference analysis module, connected to the difference analysis module, is configured to respond to key conditions to determine a division analysis method for each key analysis user, obtain environmental compensation parameters for each key analysis user, and respond to key compensation conditions to determine key compensation users, wherein the division analysis method is to divide the key analysis users according to the degree of overlap of change trends or the degree of overlap of direction; a second difference analysis module, connected to the difference analysis module, for determining an abnormality analysis method of the target monitoring area in response to the occlusion analysis condition, wherein the abnormality analysis method is to determine the abnormality compensation parameter of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameter, or to determine the abnormality compensation parameter of the target monitoring area according to the reference abnormality coefficient and the user discrete coefficient; an adjustment and compensation module, connected to the difference analysis module, the first difference analysis module, and the second difference analysis module, respectively, for responding to different difference analysis conditions to determine a compensation adjustment method, and responding to a compensation determination condition to determine whether to adjust the hydraulic abnormality coefficient; The adjustment and compensation module responds to different difference analysis conditions to determine the compensation adjustment mode; The adjustment and compensation module responds to the first difference analysis condition and determines to detect the interference overlap of the target monitoring area; The adjustment and compensation module responds to the second difference analysis condition and determines to increase the hydraulic abnormality coefficient according to the abnormal compensation parameter; The increase in the hydraulic anomaly coefficient is positively correlated with the anomaly compensation parameter; The adjustment and compensation module responds to the compensation determination condition to determine whether to adjust the hydraulic abnormality coefficient; The compensation determination condition responded by the adjustment compensation module is that the interference overlap is greater than the preset interference overlap, and then it is determined to reduce the hydraulic anomaly coefficient of the target monitoring area according to the interference overlap and the reference overlap compensation parameter; The reduction value of the hydraulic anomaly coefficient is positively correlated with the interference coincidence degree and the reference coincidence compensation parameter.

2. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 1, characterized in that: The effect monitoring module responds to the state determination condition to determine the heating state of the target monitoring area; If the state determination condition responded by the effect monitoring module is that the difference user ratio is greater than the preset difference user ratio, it is determined that the target monitoring area is in the first preset heating state; The state determination condition responded by the effect monitoring module is that the difference user ratio is less than or equal to the preset difference user ratio and the user difference reference value is greater than the preset user difference reference value, then it is determined that the target monitoring area is in the second preset heating state.

3. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 2, characterized in that: The difference analysis module is responsive to the state analysis condition to determine a difference analysis strategy; If the state analysis condition responded by the difference analysis module is that the target monitoring area is in the first preset heating state, it is determined to perform environmental interference analysis on the target monitoring area; If the state analysis condition responded by the difference analysis module is that the target monitoring area is in the second preset heating state, it is determined to perform shielding parameter detection on each difference user in the target monitoring area.

4. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 3 is characterized in that: The first difference analysis module detects the environmental compensation parameters of each key analysis user in response to the first difference analysis condition; If the key compensation condition responded by the first difference analysis module is that the environment compensation parameter of a key analysis user is greater than the preset environment compensation parameter, the key analysis user is determined to be a key compensation user; The first difference analysis condition is that the difference analysis module determines to perform environmental interference analysis on the target monitoring area.

5. The artificial intelligence-based hot water hydraulic regulation system according to claim 4 is characterized in that: The first difference analysis module responds to the key conditions to determine a division analysis method for each key analysis user; If the key condition responded by the first difference analysis module is that the reference fluctuation coefficient is greater than the preset reference fluctuation coefficient, it is determined that the key analysis users are divided according to the overlap of the change trends; If the key condition responded by the first difference analysis module is that the reference fluctuation coefficient is less than or equal to the preset reference fluctuation coefficient, it is determined that the key analysis users are divided according to the orientation overlap; The key analysis users are difference users whose effective window-to-wall ratio is greater than a preset effective window-to-wall ratio.

6. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 5, characterized in that: The first difference analysis module responds to a type of division analysis condition and detects the reference difference phase and the optimal radiation period of each radiation analysis combination to determine the interference period overlap coefficient of each radiation analysis combination; Determine the environmental compensation parameters of key analysis users in each radiation analysis combination based on the interference period overlap coefficient and the radiation reference value; The change trend overlap of any radiation analysis combination is greater than the preset change trend overlap; The first type of division analysis condition is that all key analysis users within the target monitoring area whose reference fluctuation coefficient is greater than a preset reference fluctuation coefficient have completed division.

7. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 6, characterized in that: The first difference analysis module responds to the two-category division analysis conditions and determines the environmental compensation parameters of the key analysis users in each orientation analysis combination according to the effective window-to-wall ratio and the environmental interference reference value; The orientation overlap of any orientation analysis combination is greater than the preset orientation overlap; The second-category division analysis condition is that the reference fluctuation coefficient in the target monitoring area is less than or equal to the preset reference fluctuation coefficient and all key analysis users have completed the division.

8. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 7, characterized in that: The second difference analysis module detects the occlusion parameters of each difference user in response to the second difference analysis condition, and determines an abnormality analysis method for the target monitoring area in response to the occlusion analysis condition; If the occlusion analysis condition responded by the second difference analysis module is that the proportion of users with occlusion overlap is greater than the preset proportion of users with occlusion overlap, it is determined that the second difference analysis module determines the abnormal compensation parameter of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameter; If the occlusion analysis condition responded by the second difference analysis module is that the proportion of users with occlusion overlap is less than or equal to the preset proportion of users with occlusion overlap, it is determined that the second difference analysis module determines the abnormality compensation parameter of the target monitoring area according to the reference abnormality coefficient and the user dispersion coefficient; The second difference analysis condition is that the difference analysis module determines to perform occlusion parameter detection on each difference user in the target monitoring area.

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