Heat supply hydraulic adjusting system based on artificial intelligence

Abstract

The invention relates to the field of hydraulic regulation, in particular to a heat supply hydraulic regulation system based on artificial intelligence, which comprises an effect monitoring module used for periodically judging a heat supply state of a target monitoring area and determining a hydraulic anomaly coefficient of the target monitoring area; the difference analysis module is used for responding to the state analysis condition to determine a difference analysis strategy; the first difference analysis module is used for determining a division analysis mode of each key analysis user in response to the key condition, acquiring an environment compensation parameter of each key analysis user, and determining a key compensation user in response to the key compensation condition; the second difference analysis module is used for responding to the shielding analysis condition to determine an abnormal analysis mode of the target monitoring area; and the adjustment compensation module is used for responding to different difference analysis conditions to determine a compensation adjustment mode, and the effectiveness of heat supply hydraulic adjustment is improved.

Description

Technical Field

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

[0002] Adjusting the hot water hydraulic power aims to ensure that the water flow rates in each branch of the central heating system reach a balanced state. By precisely controlling the water flow, hot water can flow evenly within the entire heating pipeline system to ensure that each branch can obtain sufficient heat, eliminating the uneven distribution of water flow within the system. The actual heating quality of heating users is the reference basis for the hot water hydraulic regulation process. Moreover, the actual heating effect of end users has greater reference value for the evaluation result of heating uniformity compared to that of conventional users. Therefore, the accuracy of the monitoring result of the actual heating effect of heating users has a greater impact on the effectiveness of hot water hydraulic regulation. However, the actual heating quality of heating users is affected by the actual environment, which is likely to affect the effectiveness of hot water hydraulic regulation. Therefore, how to weaken the impact of environmental factors on the detection result of the actual heating quality of heating users to improve the effectiveness of hot water hydraulic regulation and avoid energy loss caused by ineffective hot water hydraulic regulation is an urgent problem to be solved by those skilled in the art.

[0003] Chinese Patent Publication No. CN117490118A discloses an intelligent hydraulic balance heating system based on the Internet of Things, including a primary network, a plate heat exchanger, a secondary network, a water replenishing device, and an ejector pump device; the data of the injection port, the entrainment port, and the mixing port temperature and pressure sensors in the ejector pump device in the secondary network are transmitted to a gateway through LORA communication, and the gateway transmits all the data to a control device; when the hydraulic distribution of users is balanced, the indoor temperature of users is collected by temperature sensors in each room, and the temperature signal is transmitted to the gateway through LORA communication, and the gateway transmits all the data to the control device. The control device transmits the opening signal to the adjustment opening control end of the electric adjustment actuator of the primary network electric control valve through cloud computing. However, the above solution has the following problems: it fails to compensate for the interference caused by environmental factors on the detection result of the indoor temperature of heating users, resulting in low effectiveness of the executed hot water hydraulic regulation. Summary of the Invention

[0004] Therefore, the present invention provides a hot water hydraulic regulation system based on artificial intelligence to overcome the problem in the prior art that the interference caused by environmental factors on the detection result of the indoor temperature of heating users is not compensated, resulting in low effectiveness of the executed hot water hydraulic regulation.

[0005] To achieve the above object, the present invention provides a hot water hydraulic regulation system based on artificial intelligence, including:

[0006] An effect monitoring module is used to periodically detect the temperature reference values of each target heating user, and in response to a status determination condition, periodically determine the heating status of the target monitoring area and determine the hydraulic anomaly coefficient of the target monitoring area;

[0007] A difference analysis module, which is connected to the effect monitoring module, is used to determine a difference analysis strategy in response to a status analysis condition. The difference analysis strategy is to perform environmental interference analysis on the target monitoring area, or to detect the occlusion parameters of each difference user in the target monitoring area;

[0008] A first difference analysis module, which is connected to the difference analysis module, is used to determine the division analysis method of each key analysis user in response to a key condition, obtain the environmental compensation parameters of each key analysis user, and determine the key compensation users in response to a key compensation condition. The division analysis method is to divide the key analysis users according to the change trend coincidence degree or the orientation coincidence degree;

[0009] A second difference analysis module, which is connected to the difference analysis module, is used to determine the anomaly analysis method of the target monitoring area in response to an occlusion analysis condition. The anomaly analysis method is to determine the anomaly compensation parameters of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameters, or to determine the anomaly compensation parameters of the target monitoring area according to the reference anomaly coefficient and the user dispersion coefficient;

[0010] An adjustment and compensation module, which is respectively connected to the difference analysis module, the first difference analysis module and the second difference analysis module, is used to determine a compensation adjustment method in response to different difference analysis conditions, and determine whether to adjust the hydraulic anomaly coefficient in response to a compensation determination condition.

[0011] Further, the effect monitoring module determines the heating status of the target monitoring area in response to a status determination condition;

[0012] The status determination condition responded by the effect monitoring module is that the proportion of difference users is greater than the preset proportion of difference users, then it is determined that the target monitoring area is in the first preset heating status;

[0013] The status determination condition responded by the effect monitoring module is that the proportion of difference users is less than or equal to the preset proportion of difference users 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 status.

[0014] Further, the difference analysis module determines a difference analysis strategy in response to a status analysis condition;

[0015] When the status analysis condition responded by the difference analysis module is that the target monitoring area is in the first preset heating state, it is determined that environmental interference analysis is to be carried out for the target monitoring area;

[0016] When the status analysis condition responded by the difference analysis module is that the target monitoring area is in the second preset heating state, it is determined that occlusion parameter detection is to be carried out for each differential user in the target monitoring area.

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

[0018] When the key compensation condition responded by the first difference analysis module is that the environmental compensation parameter of a key analysis user is greater than the preset environmental compensation parameter, it is determined that the key analysis user is a key compensation user;

[0019] The first difference analysis condition is that the difference analysis module determines that environmental interference analysis is to be carried out for the target monitoring area.

[0020] Furthermore, the first difference analysis module responds to the key condition to determine the division analysis method of each key analysis user;

[0021] When 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 coincidence degree of the change trend;

[0022] When 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 coincidence degree of the orientation;

[0023] The key analysis user is a differential user with an effective window-wall ratio greater than the preset effective window-wall ratio.

[0024] Furthermore, the first difference analysis module responds to a type of division analysis condition to detect the reference difference stage and the optimal radiation period of each radiation analysis combination, so as to determine the interference period coincidence coefficient of each radiation analysis combination;

[0025] Determine the environmental compensation parameters of the key analysis users in each radiation analysis combination according to the interference period coincidence coefficient and the radiation reference value;

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

[0027] The type of division analysis condition is that all key analysis users with a reference fluctuation coefficient greater than the preset reference fluctuation coefficient in the target monitoring area have been divided.

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

[0029] The orientation coincidence degree of any one orientation analysis combination is greater than the preset orientation coincidence degree;

[0030] The second-class division analysis condition is that the key analysis users with a reference fluctuation coefficient less than or equal to the preset reference fluctuation coefficient in the target monitoring area have all been divided.

[0031] Further, the second difference analysis module responds to the second difference analysis condition, detects the occlusion parameters of each difference user, and responds to the occlusion analysis condition to determine the abnormal analysis method of the target monitoring area;

[0032] The occlusion analysis condition responded by the second difference analysis module is that the proportion of occluded coincidence users is greater than the preset proportion of occluded coincidence users, then it is determined that the second difference analysis module determines the abnormal compensation parameters of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameters;

[0033] The occlusion analysis condition responded by the second difference analysis module is that the proportion of occluded coincidence users is less than or equal to the preset proportion of occluded coincidence users, then it is determined that the second difference analysis module determines the abnormal compensation parameters of the target monitoring area according to the reference abnormal coefficient and the user dispersion coefficient;

[0034] The second difference analysis condition is that the difference analysis module determines to detect the occlusion parameters of each difference user in the target monitoring area.

[0035] Further, the adjustment compensation module responds to different difference analysis conditions to determine the compensation adjustment method;

[0036] When the adjustment compensation module responds to the first difference analysis condition, it is determined to detect the interference coincidence degree of the target monitoring area;

[0037] When the adjustment compensation module responds to the second difference analysis condition, it is determined to increase and adjust the hydraulic anomaly coefficient according to the abnormal compensation parameters;

[0038] The increased value of the hydraulic anomaly coefficient is positively correlated with the abnormal compensation parameter.

[0039] Further, the adjustment compensation module responds to the compensation determination condition to determine whether to adjust the hydraulic anomaly coefficient;

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

[0041] The decreasing values of the hydraulic anomaly coefficient are respectively positively correlated with the interference coincidence degree and the reference coincidence compensation parameter.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows. The technical solution of the present invention determines the heating state of the target monitoring area according to the proportion of different users and the user difference reference value, and determines a targeted difference analysis strategy according to the heating state of the target monitoring area, so as to accurately analyze the influence of the actual environment on the heating effects of each heating user in the target monitoring area, ensure the accuracy of the compensation adjustment of the hydraulic anomaly coefficient for the target monitoring area, and improve the effectiveness of the hot water hydraulic regulation of the present invention.

[0043] Furthermore, in the present invention, the effect monitoring module determines the heating state of the target monitoring area according to the proportion of different users and the user difference reference value. The two determined heating states can effectively represent the difference situation among the heating users in the target monitoring area, making the subsequent selection of the difference analysis strategy more in line with the actual situation of the target monitoring area and improving the accuracy of the compensation adjustment of the hydraulic anomaly coefficient for the target monitoring area.

[0044] Furthermore, 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 accordingly. When in the first preset heating state, it indicates that there are many different users in the target monitoring area, and it also indicates that there are different users whose temperature effect reference values are affected by environmental factors. Therefore, targeted environmental compensation analysis is carried out for each key analysis user to determine the degree of influence suffered by the temperature effect reference value, so as to compensate and adjust the hydraulic anomaly coefficient of the target monitoring area, and the present invention improves the effectiveness of the hot water hydraulic regulation.

[0045] Furthermore, in the present invention, the first difference analysis module determines a targeted division analysis method according to the reference fluctuation coefficient. There are differences in the temperature change effects caused by different main influencing factors. The main influencing factors can be effectively determined through the reference fluctuation coefficient. A targeted division analysis method is determined for the key analysis users, and overall environmental compensation analysis is carried out for the obtained combinations to obtain environmental compensation parameters, improving the execution efficiency and accuracy of the environmental compensation analysis process.

[0046] Further, in the present invention, the second difference analysis module determines a targeted abnormal analysis method according to the proportion of occluded overlapping users, making the determined abnormal compensation parameters more in line with the actual situation. When the second difference analysis module conducts analysis, there are relatively few different users in the target monitoring area, but there are often large differences. By determining a targeted abnormal analysis method according to the proportion of occluded overlapping users, it can effectively avoid the interference of different building occlusion situations on the actual heating detection results of each heating user, further improving the effectiveness of adjusting the hydraulic abnormal coefficient. The present invention improves the effectiveness of hot water hydraulic regulation.

[0047] Further, in the present invention, the adjustment compensation module determines a targeted compensation adjustment method according to different difference analysis conditions, ensuring the accuracy of adjusting the hydraulic abnormal coefficient, and determines whether to reduce the adjustment of the hydraulic abnormal coefficient in the target monitoring area according to the interference overlap degree. If the interference overlap degree is large, it indicates that environmental factors interfere with the heating effect detection results, and thus the hydraulic abnormal coefficient is adjusted to weaken the influence of environmental factors on the effectiveness of hot water hydraulic regulation. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0049] Figure 2 It is a flowchart of the difference analysis module of the present invention in response to the status analysis condition to determine the difference analysis strategy;

[0050] Figure 3 It is a flowchart of the first difference analysis module of the present invention in response to the key condition to determine the division analysis method of each key analysis user;

[0051] Figure 4 It is a flowchart of the adjustment compensation module of the present invention in response to the compensation determination condition to determine whether to adjust the hydraulic abnormal coefficient. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0053] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0054] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for 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 should not be construed as a limitation to the present invention.

[0055] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0056] Please refer to Figures 1 to 4 as shown, the present invention provides a hot water hydraulic regulation system based on artificial intelligence, including:

[0057] An effect monitoring module for periodically detecting the temperature reference values of each target heating user, and in response to the state determination condition, periodically determining the heating state of the target monitoring area and determining 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 the state analysis condition. The difference analysis strategy is to perform environmental interference analysis on the target monitoring area, or to detect the occlusion parameters of each difference user in the target monitoring area;

[0059] A first difference analysis module connected to the difference analysis module for determining the division analysis method of each key analysis user in response to the key condition, obtaining the environmental compensation parameters of each key analysis user, and determining the key compensation users in response to the key compensation condition. The division analysis method is to divide the key analysis users according to the change trend coincidence degree or the orientation coincidence degree;

[0060] A second difference analysis module connected to the difference analysis module for determining the anomaly analysis method of the target monitoring area in response to the occlusion analysis condition. The anomaly analysis method is to determine the anomaly compensation parameters of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameters, or to determine the anomaly compensation parameters of the target monitoring area according to the reference anomaly coefficient and the user dispersion coefficient;

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

[0062] Among them, the application scenario of the present invention is the process of hot water supply hydraulic adjustment for the target monitoring area. The target monitoring area is the area that needs to carry out hot water supply hydraulic adjustment. All the buildings included in the target monitoring area of the present invention are building bodies and include several heating users. The heating users are the users involved in the process of hot water supply hydraulic adjustment. Any heating user records its corresponding house information. The information categories included in the house information include but are not limited to: house address, house number, heating area, and window-wall ratio, and the house addresses and house numbers of each heating user are different;

[0063] In the present invention, a cyclic effect monitoring period is applied. The duration of the effect monitoring period can be determined by the user himself. A duration of the effect monitoring period is provided. The effect monitoring period is 1h. At the end of each effect monitoring period, the temperature reference value of each heating user in the target monitoring area is detected. The temperature reference value is the temperature in the house represented by the heating user at the detection moment. In the present invention, a cyclic state determination period is also applied. The duration of the state determination period can be determined by the user himself. A duration of the state determination period is provided. The state determination period is 24h. At the end of each state determination period, the heating effect reference value of each heating user in the target monitoring area is obtained. The difference users are 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 proportion of the difference users. For a single heating user, the heating effect reference value is the average value of the temperature reference values of the heating user detected each time during the current effect monitoring period, 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 values 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 adjustment, the smaller the value of the preset heating effect difference value. A method for obtaining the value of the preset heating effect difference value is provided. The minimum value of the heating effect difference values of each difference user in the adjustment analysis record that meets the user's requirement for the effectiveness of the heating hydraulic adjustment 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 with a pipeline transmission distance greater than a preset pipeline transmission distance, and the regular users are heating users with a pipeline transmission distance 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 passed by the hot water before it reaches the heating device provided for 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 the historical evaluation record. The higher the user's requirement for the effectiveness of heating hydraulic regulation, the larger the value of the preset pipeline transmission distance. A method for obtaining the value of the preset pipeline transmission distance is provided. The average value of the pipeline transmission distances of each end user in the regulation analysis record that meets the user's requirement for the effectiveness of 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 ath end user in the target monitoring area, y b is the heating effect difference value of the bth regular user in the target monitoring area, f m and f y are the anomaly determination coefficients corresponding to the heating effect difference values of end users and regular users respectively. The values of the anomaly determination coefficients corresponding to the heating effect difference values of end users and regular users can be set by the user according to the actual working scenario. A method for obtaining the values of the anomaly determination coefficients corresponding to the heating effect difference values of end users and regular users is provided. The value of the anomaly determination coefficient corresponding to the heating effect difference value of end users is 0.1, and the value of the anomaly determination coefficient corresponding to the heating effect difference value of regular users is 0.05;

[0067] In the present invention, there are several regulation analysis records. Any regulation analysis record records at least once the heating effect difference value, the pipeline transmission distances of each end user, the user difference reference value, the proportion of different users, the environmental compensation parameter, the effective window-wall ratio, the reference fluctuation coefficient, the trend change difference value, the change trend coincidence degree, the reference trend change value, the orientation coincidence degree, the occlusion parameter, the proportion of occluded coincidence users, and the interference coincidence degree during the heating hydraulic regulation for a target monitoring area. And each regulation analysis record corresponds to a qualified mark, and the qualified mark records whether the effectiveness of the heating hydraulic regulation meets the user's requirements. It can be understood that the user can determine whether the effectiveness of the heating hydraulic regulation meets the requirements according to the self-set indicators. The self-set indicators include but are not limited to: the regulation interval duration, which is the duration between each heating hydraulic regulation and the next heating hydraulic regulation;

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

[0069] If the status determination condition to which the effect monitoring module responds is that the proportion of different users is greater than the preset proportion of different users, it is determined that the target monitoring area is in the first preset heating status;

[0070] If the status determination condition to which the effect monitoring module responds is that the proportion of different users is less than or equal to the preset proportion of different users and the user difference reference value is greater than the preset user difference reference value, it is determined that the target monitoring area is in the second preset heating status.

[0071] Wherein, the proportion of different users = the number of different 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 values of the preset user difference reference value and the preset proportion of different users can be determined by the user according to the actual working scenario. For example, the user can set according to the historical evaluation record. A method for obtaining the value of the preset user difference reference value is provided. The adjustment analysis record of the abnormal compensation parameter detection for the target monitoring area is recorded as the status reference record, and the average value of the user difference reference values in the status reference records that meet the user's requirements for the effectiveness of heating hydraulic regulation is recorded as the preset user difference reference value. A method for obtaining the value of the proportion of different users is provided. The maximum value of the proportion of different users in the status reference records that meet the user's requirements for the effectiveness of heating hydraulic regulation is recorded as the preset proportion of different users.

[0072] Specifically, the difference analysis module responds to the status analysis condition to determine the difference analysis strategy;

[0073] If the status analysis condition to which the difference analysis module responds is that the target monitoring area is in the first preset heating status, it is determined to conduct environmental interference analysis for the target monitoring area;

[0074] If the status analysis condition to which the difference analysis module responds is that the target monitoring area is in the second preset heating status, it is determined to conduct occlusion parameter detection for each different user in the target monitoring area.

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

[0076] If the key compensation condition to which the first difference analysis module responds is that the environmental compensation parameter of a key analysis user is greater than the preset environmental compensation parameter, it is determined that the key analysis user is 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 the historical evaluation record. The higher the user's requirement for the effectiveness of heating hydraulic regulation, the larger the value of the preset environmental compensation parameter. A method for obtaining the value of the preset environmental compensation parameter is provided. The adjustment analysis record for performing environmental interference analysis on the target monitoring area is recorded as the analysis reference record, and the average value of the environmental compensation parameters of each key compensated user in the analysis reference record that meets the user's requirement 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 condition to determine the division analysis method for each key analysis user.

[0080] The key condition to which the first difference analysis module responds is that the reference fluctuation coefficient is greater than the preset reference fluctuation coefficient, then it is determined that the key analysis users are divided according to the change trend coincidence degree.

[0081] The key condition to which the first difference analysis module responds is that the reference fluctuation coefficient is less than or equal to the preset reference fluctuation coefficient, then it is determined that the key analysis users are divided according to the orientation coincidence degree.

[0082] The key analysis user is a difference user with an effective window-wall ratio greater than the preset effective window-wall ratio.

[0083] Among them, for a single difference user, the effective window-wall ratio = the sum of the effective window areas of this difference user / the sum of the external wall areas of the house corresponding to this difference user. The effective window area is the sum of the areas of the interference windows of this difference user. The interference window is a window that can receive direct solar radiation during the current state determination period or a window with a wind direction angle greater than the preset wind direction angle with respect to the wind direction during the current state determination period. The wind direction angle is the smaller degree value among the angles formed by the wind direction and the window plane. 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 the historical evaluation record. The higher the user's requirement for the effectiveness of heating hydraulic regulation, the larger the value of the preset wind direction angle. A value for the preset wind direction angle is provided, and the value of the preset wind direction angle is 50°.

[0084] For the value of the preset effective window-wall ratio, the user can determine it 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 heating hydraulic regulation, the larger the value of the preset effective window-wall ratio. A method for obtaining the value of the preset effective window-wall ratio is provided, and the minimum value of the effective window-wall ratio of the key analysis user in the analysis reference record that meets the user's requirement for the effectiveness of heating hydraulic regulation is used;

[0085] For a single key analysis user, the reference fluctuation coefficient n is the number of effect monitoring periods included in the state determination period, Di is the temperature reference value of the key analysis user in the i-th effect monitoring period in the current state determination period, D0 is the heating effect reference value of the current state determination period. For the value of the preset reference fluctuation coefficient, the user can determine it according to the actual working scenario. For example, the user can set it according to the historical evaluation record. A method for obtaining the value of the preset reference fluctuation coefficient is provided. The analysis reference record divided for the key analysis user according to the change trend coincidence degree is recorded as the division reference record, and the minimum value of the reference fluctuation coefficient in the division reference record that meets the user's requirement for the effectiveness of heating hydraulic regulation is recorded as the preset reference fluctuation coefficient. There are strong and weak changes in the light radiation within the state determination period, and there are obvious fluctuations in the temperature reference values of different users with light radiation as the main influencing factor. 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 stage and the optimal radiation period of each radiation analysis combination to determine the interference period coincidence coefficient of each radiation analysis combination;

[0087] Determine the environmental compensation parameter of the key analysis user in each radiation analysis combination according to the interference period coincidence coefficient and the radiation reference value;

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

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

[0090] Among them, the radiation analysis combination is a set of key analysis users obtained by dividing according to the coincidence degree of change trends. In the current state determination period, for a single radiation analysis combination, the coincidence degree of change trends = ln(coincidence trend period ratio / reference trend difference value), where the coincidence trend period ratio = the number of coincidence trend periods included in this state determination period / the number of effect monitoring periods included in this state determination period, and the reference trend difference value is the average value of the trend change differences of each effect monitoring period in this state determination period. For a single effect monitoring period, if the trend change difference value of this radiation analysis combination is less than the preset trend change difference value, then this effect monitoring period is determined as a coincidence trend period. The trend change difference value is the absolute value of the difference between the maximum value and the minimum value of the trend change values of each key analysis user in this radiation analysis combination during this effect monitoring period. For a single key analysis user, the trend change value = the temperature reference value detected at the end of this effect monitoring period - the temperature reference value detected at the end of the previous effect monitoring period of this 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 record. The higher the user's requirement for the effectiveness of heating hydraulic regulation, the smaller the value of the preset trend change difference value. A method for obtaining the value of the preset trend change difference value is provided, where the average value of the trend change differences of each coincidence trend period in the division reference record that meets the user's requirement for the effectiveness of 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 record. The higher the user's requirement for the effectiveness of heating hydraulic regulation, the larger the value of the preset change trend coincidence degree. A method for obtaining the value of the preset change trend coincidence degree is provided, where the minimum value of the change trend coincidence degree of the radiation analysis combination in the division reference record that meets the user's requirement for the effectiveness of heating hydraulic regulation is recorded as the preset change trend coincidence degree;

[0092] For a single radiation analysis combination, the interference period coincidence coefficient = the optimal coincidence duration / the duration of the reference difference stage. The optimal coincidence duration is the duration when the reference difference stage coincides with the optimal radiation period. For a single coincidence trend period, if the average value of the trend change values of each key analysis user within this coincidence trend period is greater than the preset reference trend change value, then this coincidence trend period is recorded as the reference difference period. The end moment of each effect monitoring period detects the light radiation value of the target monitoring area, and the average value of each light radiation value detected within the currently located state determination period is recorded as the radiation reference value. The reference difference stage is the set of reference difference periods within the currently located state determination period. The optimal radiation period is the set of effect monitoring periods within the currently located state determination period where each light radiation value is greater than the preset radiation reference value. The environmental compensation parameter is the product of the interference period coincidence 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 obtaining 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 division 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 for the preset radiation reference value is provided. The value of the preset radiation reference value is 130 W / ㎡. In the present invention, direct radiation meters are installed at the highest points of each building in the target monitoring area to measure the solar radiation energy received per unit area per unit time. For any detection of the light radiation value of the target monitoring area, the average value of the current moment values 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 easily understood by those skilled in the art and will not be elaborated here.

[0094] Specifically, the first difference analysis module responds to the second type of division analysis condition and determines the environmental compensation parameter of each key analysis user within the orientation analysis combination according to the effective window-wall ratio and the environmental interference reference value;

[0095] The orientation coincidence degree of any one orientation analysis combination is greater than the preset orientation coincidence degree;

[0096] The second type of division analysis condition is that all key analysis users with a reference fluctuation coefficient less than or equal to the preset reference fluctuation coefficient in the target monitoring area 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 degree. For a single orientation analysis combination, the orientation coincidence degree = 1 / orientation difference value, and the orientation difference value is the maximum value of the absolute value of the difference between the wind direction angles of the key analysis users within the orientation analysis combination. The value of the preset orientation 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. The higher the user's requirement for the effectiveness of heating hydraulic regulation, the larger the value of the preset orientation coincidence degree. A method for obtaining the value of the preset orientation coincidence degree is provided, and the average value of the orientation coincidence degrees of the adjustment analysis records of the orientation analysis combinations that meet the user's requirement for the effectiveness of heating hydraulic regulation is the preset orientation coincidence degree;

[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-wall ratio and the environmental interference reference value. The environmental interference reference value = ln (the reference wind force intensity of the current state determination period × the average value of the wind direction angles of each key analysis user within the orientation analysis combination). At the end of each effect monitoring period, the wind force intensity of the target monitoring area is detected, and the average value of the detected wind force intensities within the current state determination period is recorded as the reference wind force intensity. In the present invention, a wind vane and an anemometer are provided at the highest point of any building in the target monitoring area to obtain the wind force intensity and the wind direction. How to use the wind vane and the anemometer is easily understood by those skilled in the art and will not be elaborated here.

[0099] Specifically, the second difference analysis module responds to the second difference analysis condition, detects the shielding parameters of each difference user, and responds to the shielding analysis condition to determine the abnormal analysis method of the target monitoring area;

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

[0101] The shielding analysis condition responded by the second difference analysis module is that the proportion of shielding coincidence users is less than or equal to the preset proportion of shielding coincidence users, then it is determined that the second difference analysis module determines the abnormal compensation parameter of the target monitoring area according to the reference abnormal coefficient and the user dispersion coefficient;

[0102] The second difference analysis condition is that the difference analysis module determines to detect the shielding parameters of each difference user in the target monitoring area.

[0103] Among them, for a single differential user, the shielding parameter is determined according to the building edge distance of the differential user and the number of adjacent heating users. The shielding parameter = 1 / (building edge distance + number of adjacent heating users). The building edge distance is the sum of the reference analysis distances between the differential user and each reference analysis plane of the building where the differential user is located. The reference analysis planes are the planes where the outer surfaces of the building and the horizontal ground are located. The reference analysis planes that are parallel to each other are recorded as a group. For any group of reference analysis planes, the shortest distance between the position of the differential 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 this group of reference analysis planes. The adjacent heating users are the heating users who share a common wall with the differential user;

[0104] The proportion of shielding overlapping users = the number of shielding overlapping users in the target monitoring area / the number of differential users in the target monitoring area. The shielding overlapping users are the differential users with a shielding parameter greater than the preset shielding parameter. The value of the preset shielding 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 heating hydraulic regulation, the smaller the value of the preset shielding parameter. A method for obtaining the value of the preset shielding parameter is provided. The minimum value of the shielding parameters of each shielding overlapping user in the regulation analysis record that meets the user's requirement for the effectiveness of heating hydraulic regulation is recorded as the preset shielding parameter; The value of the preset proportion of shielding overlapping users 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. A method for obtaining the value of the preset proportion of shielding overlapping users is provided. The regulation analysis record for determining the abnormal compensation parameter of the target monitoring area according to the reference anomaly coefficient and the user dispersion coefficient is recorded as the shielding reference record. The maximum value of the proportion of shielding overlapping users in the shielding reference record that meets the user's requirement for the effectiveness of heating hydraulic regulation is recorded as the preset proportion of shielding overlapping users;

[0105] If the proportion of shielding overlapping users is greater than the preset proportion of shielding overlapping users, the abnormal compensation parameter of the target monitoring area is determined according to the shielding compensation coefficient and the reference shielding parameter. The abnormal compensation parameter is the sum of the products of the shielding compensation coefficient and the reference shielding parameter and their corresponding parameter influence coefficients. The shielding compensation coefficient is the number of end users with a shielding parameter greater than the preset shielding parameter. The reference shielding parameter is the average value of the shielding parameters of each shielding overlapping user. The values of the parameter influence coefficients corresponding to the shielding compensation coefficient and the reference shielding parameter can be determined by the user according to the actual working scenario. A method for obtaining the values of the parameter influence coefficients corresponding to the shielding compensation coefficient and the reference shielding parameter is provided. The value of the parameter influence coefficient corresponding to the shielding compensation coefficient is 0.7, and the value of the parameter influence coefficient corresponding to the reference shielding parameter is 0.3;

[0106] If the proportion of users with occlusion overlap is less than or equal to the preset proportion of users with occlusion overlap, determine the abnormal compensation parameter of the target monitoring area 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 differential user, the user differential coefficient = the difference value of the heating effect of the differential user / the average heating effect of the target monitoring area. The reference abnormal coefficient is the average value of the user differential coefficients of each differential user in the target monitoring area, and the user dispersion coefficient is the average value of the pipeline transmission distances of each differential user.

[0107] Specifically, the adjustment compensation module responds to different differential analysis conditions to determine the compensation adjustment method;

[0108] When the adjustment compensation module responds to the first differential analysis condition, it is determined that the interference overlap degree of the target monitoring area is detected;

[0109] When the adjustment compensation module responds to the second differential analysis condition, it is determined that the hydraulic abnormal coefficient is increased and adjusted according to the abnormal compensation parameter;

[0110] The increased value of the hydraulic abnormal coefficient has a positive correlation with the abnormal compensation parameter.

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

[0112] When the compensation determination condition responded by the adjustment compensation module is that the interference overlap degree is greater than the preset interference overlap degree, it is determined that the hydraulic abnormal coefficient of the target monitoring area is decreased and adjusted according to the interference overlap degree and the reference overlap compensation parameter;

[0113] The decreased value of the hydraulic abnormal coefficient has a positive correlation with the interference overlap degree and the reference overlap compensation parameter respectively.

[0114] Among them, the interference overlap degree = the number of end compensation users in the target monitoring area / the number of end users in the target monitoring area. The end compensation users are the end users who are key compensation users. The value of the preset interference overlap 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. A method for obtaining the value of the preset interference overlap degree is provided. The adjustment analysis record of adjusting the hydraulic abnormal coefficient according to the interference overlap degree and the reference overlap compensation parameter is recorded as the overlap reference record, and the minimum value of the interference overlap degree in the overlap reference record that meets the user's requirements for the effectiveness of heating hydraulic adjustment is recorded as the preset interference overlap degree;

[0115] If the interference overlap degree of the target monitoring area is greater than the preset interference overlap degree, the hydraulic anomaly coefficient of the target monitoring area is adjusted to decrease according to the interference overlap degree 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 first type of compensation coefficient is determined according to the interference overlap degree and the reference overlap compensation parameter. The first type of compensation coefficient is the natural logarithm of the product of the interference overlap degree and the reference overlap compensation parameter. The decrease value of the hydraulic anomaly coefficient is positively correlated with the first type of compensation coefficient.

[0116] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0117] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A hot water 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 state determination condition, periodically determine the heating state of the target monitoring area, and determine the hydraulic anomaly coefficient of the target monitoring area; A difference analysis module, which is connected to the effect monitoring module, and is used to respond to the state analysis condition to determine a difference analysis strategy, wherein the difference analysis strategy is to perform environmental interference analysis on the target monitoring area, or to perform occlusion parameter detection on each difference user in the target monitoring area; A first difference analysis module, which is connected to the difference analysis module, is used to respond to the key conditions to determine the division analysis method of each key analysis user, obtain the environmental compensation parameters of each key analysis user, and respond to the key compensation conditions to determine the key compensation users, wherein the division analysis method is to divide the key analysis users according to the change trend overlap or the direction overlap; A second difference analysis module, which is connected to the difference analysis module, is used to respond to the occlusion analysis condition to determine an abnormal analysis method of the target monitoring area, wherein the abnormal analysis method is to determine the abnormal compensation parameter of the target monitoring area according to the occlusion compensation coefficient and the reference occlusion parameter, or to determine the abnormal compensation parameter of the target monitoring area according to the reference abnormal coefficient and the user discrete coefficient; 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.

2. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 1 is 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 is 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; The state analysis condition responded by the difference analysis module is that the target monitoring area is in the second preset heating state, and then 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; 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, then 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 supply hydraulic regulation system according to claim 4 is characterized in that: The first difference analysis module responds to the key condition to determine the division analysis method of 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 to divide the key analysis users according to the overlap of the change trend; 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 to divide the key analysis users 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 according to 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 the division.

7. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 6 is characterized in that: The first difference analysis module responds to the two-category classification 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 coincidence of any orientation analysis combination is greater than the preset orientation coincidence; The second-category classification 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 classification.

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 the abnormality analysis method of the target monitoring area in response to the occlusion analysis condition; The occlusion analysis condition responded by the second difference analysis module is that the proportion of occlusion overlapped users is greater than the preset proportion of occlusion overlapped users, then 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 abnormal compensation parameter of the target monitoring area according to the reference abnormal coefficient and the user discrete 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.

9. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 8, characterized in that: 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 and adjust the hydraulic abnormality coefficient according to the abnormal compensation parameter; The increase value of the hydraulic anomaly coefficient is positively correlated with the anomaly compensation parameter.

10. The artificial intelligence-based hot water supply hydraulic regulation system according to claim 9, characterized in that: The adjustment and compensation module responds to the compensation determination condition to determine whether to adjust the hydraulic abnormality coefficient; The compensation judgment condition responded by the adjustment compensation module is that the interference overlap is greater than the preset interference overlap, 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 overlap degree and the reference overlap compensation parameter.

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