Electric heating intelligent control method and system based on priority allocation

Abstract

The present invention discloses an electric heating intelligent control method and system based on priority allocation, which relates to an electric heating control system. First, an initial priority is set for a heating area, and an initial power allocation strategy is determined accordingly; through on-site historical monitoring videos, the behavioral characteristics of a human body in the heating area are identified and recorded to form a human body mapping point feature data group; the human body mapping point feature data group after equality screening is analyzed to calculate a reference area residence time segment, and the initial power allocation strategy is corrected and supplemented twice accordingly: the first correction is based on the reference area residence time segment, and the second correction is based on real-time adjustment combined with human body behavior data in real-time monitoring videos; the current power allocation strategy is obtained, and accurate heating power control is performed on different heating areas accordingly; the present invention realizes efficient and intelligent allocation of heating power by introducing a priority allocation mechanism and intelligent analysis technology, thereby improving heating efficiency and user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of electric heating control, and in particular to an electric heating intelligent control method and system based on priority allocation. Background Art

[0002] As winter approaches, electric heating systems have become an indispensable heating method for many homes and public places. However, in the practical application of electric heating systems, we face many challenges, which prompt us to continuously explore more efficient and intelligent control methods.

[0003] First of all, electric heating systems need to face the limited heating power. When electricity resources are tight or heating demand is at peak, how to ensure the stable operation of the heating system while making the most of the limited heating power has become an urgent problem to be solved. Traditional heating systems often adopt fixed heating strategies and cannot be flexibly adjusted according to real-time conditions, resulting in poor heating effects or energy waste.

[0004] Secondly, with the continuous development of intelligent technology, people have put forward higher requirements for the intelligence of electric heating systems. Traditional electric heating systems lack intelligent control methods and cannot be adjusted intelligently according to the actual stay time and behavioral characteristics of the human body. This not only leads to energy waste, but also affects the user's heating experience. Summary of the invention

[0005] The object of the present invention is to provide a control method and system capable of intelligently regulating the electric heating power.

[0006] The present invention discloses an intelligent control method for electric heating based on priority allocation, comprising:

[0007] An initial priority is set for each heating zone in the heating zone list, and an initial power allocation strategy of the total limited heating power is determined based on the initial priority of each heating zone;

[0008] Collect the plan of the heating area, and delineate the functional blocks in each plan of the heating area respectively, identify the human body in the on-site historical monitoring video, and configure the identified human body on the plan of the heating area in the form of human body mapping points, and record the functional blocks experienced by each human body mapping point, the length of time spent in the functional block, the time section spent in the heating area, and the human behavior characteristics, to form a human body mapping point feature data group;

[0009] Performing equality screening on a plurality of human body mapping point feature data sets to obtain a plurality of human body mapping point feature data sets, and performing average calculation on the corresponding regional residence time segments in each human body mapping point feature data set to obtain a reference regional residence time segment;

[0010] Based on the reference area residence time segment corresponding to each human body mapping point feature data set, the initial power allocation strategy is corrected and supplemented for the first time;

[0011] The human body in the real-time monitoring video is identified, and the human body mapping point feature data group of each human body is determined. Based on the mapped human body mapping point feature data group, the length of time each human body stays in the remaining area is determined. Based on the length of time each human body stays in the remaining area, the initial power allocation strategy after the first correction and supplement is corrected and supplemented for the second time to obtain the current power allocation strategy. Based on the current power allocation strategy, the heating power of different heating areas is controlled.

[0012] In some embodiments disclosed in the present invention, the method for determining the initial power allocation strategy of the total limited heating power based on the initial priority of each heating zone includes:

[0013] Obtaining the specific value of the total limited heating power, and determining the normal heating power, insulation heating power and low heating power for each heating area;

[0014] Based on the size of the initial priority of each heating area, the heating areas are prioritized to obtain the heating area priority arrangement sequence, and normal heating power is configured for all heating areas. The overall heating power of all heating areas is calculated. If the overall heating area is greater than the total restricted heating power, the power is downgraded in a countdown manner in the heating area priority arrangement sequence, and the overall heating power is recalculated until the overall heating power is less than or equal to the total restricted heating power.

[0015] In some embodiments disclosed in the present invention, based on human behavior characteristics, the method of performing a fourth screening and classification on the human body mapping point feature data set after the third screening and classification includes:

[0016] Determine the posture of the human body, including standing, walking, sitting or lying down, and determine the posture duration and posture repetition frequency in each posture. Based on the consistency of the posture, the consistency of the posture duration and the consistency of the posture repetition frequency, perform a fourth screening and classification of the human body mapping point feature data group.

[0017] In some embodiments disclosed in the present invention, the method for performing a first correction and supplement to the initial power allocation strategy includes:

[0018] A driving power time reference axis is set, and a power configuration columnar expression model is established corresponding to the driving power time reference axis. The power configuration columnar expression model is parallel to the driving power time reference axis, and the circular section of the power configuration columnar expression model includes a number of regional power configuration sector blocks, each regional power configuration sector block is used to correspond to the heating power of the heating area, and the sector center angle is used to express the size of the heating power;

[0019] Based on the initial power allocation strategy, the power configuration columnar expression model is adjusted and set. Based on the reference area residence time segment corresponding to each heating area, the power configuration sector blocks of the corresponding areas of the power configuration columnar expression model corresponding to the time segment are expanded and adjusted, and the power configuration sector blocks of other corresponding areas are reduced.

[0020] In some embodiments disclosed in the present invention, based on the length of time each human body stays in the current area, a method for performing a second correction and supplement to the initial power allocation strategy after the first correction and supplement includes:

[0021] Determine the model node where the current relative power configuration columnar expression model is located, and based on the remaining regional residence time of the human body in the heating area, shift the retention time of the regional power configuration sector block corresponding to the model node of the power configuration columnar expression model backward; if there are multiple regional power configuration sector blocks whose retention time needs to be shifted backward, reduce and adjust each regional power configuration sector block separately.

[0022] In some embodiments disclosed in the present invention, there is also disclosed an electric heating intelligent control system based on priority allocation, including:

[0023] The first module is used to set an initial priority for each heating area in the heating area list, and determine an initial power allocation strategy of the total limited heating power based on the initial priority of each heating area;

[0024] The second module is used to collect the plan map of the heating area, and respectively delineate the functional blocks in each plan map of the heating area, and identify the human body in the on-site historical monitoring video, and configure the identified human body on the plan map of the heating area in the form of human body mapping points, and record the functional blocks experienced by each human body mapping point, the length of time it stays in the functional block, the regional stay time section in the heating area, and the human behavior characteristics, to form a human body mapping point feature data group;

[0025] The third module is used to perform equality screening on a plurality of human body mapping point feature data sets to obtain a plurality of human body mapping point feature data sets, and average the corresponding regional residence time segments in each human body mapping point feature data set to obtain a reference regional residence time segment;

[0026] The fourth module is used to make a first correction and supplement to the initial power allocation strategy based on the reference area residence time segment corresponding to each human body mapping point feature data set;

[0027] The fifth module is used to identify human bodies in the real-time monitoring video on site, determine the human body mapping point feature data group mapped for each human body, and determine the length of time each human body stays in the remaining area based on the mapped human body mapping point feature data group, and based on the length of time each human body stays in the remaining area, perform a second correction and supplement on the initial power allocation strategy after the first correction and supplement to obtain the current power allocation strategy, and based on the current power allocation strategy, perform heating power control on different heating areas.

[0028] The present invention discloses an electric heating intelligent control method and system based on priority allocation, which relates to an electric heating control system. First, an initial priority is set for a heating area, and an initial power allocation strategy is determined accordingly; through on-site historical monitoring videos, the behavioral characteristics of a human body in the heating area are identified and recorded to form a human body mapping point feature data group; the human body mapping point feature data group after equality screening is analyzed to calculate a reference area residence time segment, and the initial power allocation strategy is corrected and supplemented twice accordingly: the first correction is based on the reference area residence time segment, and the second correction is based on real-time adjustment combined with human body behavior data in real-time monitoring videos; the current power allocation strategy is obtained, and accurate heating power control is performed on different heating areas accordingly; the present invention realizes efficient and intelligent allocation of heating power by introducing a priority allocation mechanism and intelligent analysis technology, thereby improving heating efficiency and user experience.

[0029] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a method step diagram of the electric heating intelligent control method based on priority allocation disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0032] The following will be combined with the accompanying drawings and specific embodiments to clearly and completely describe the technical solution of the present invention. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and cannot be understood as limiting the scope of protection of the present invention. Those skilled in the art in this field can make some non-essential improvements and adjustments based on the content of the present invention described below. In the present invention, unless otherwise clearly specified and limited, the technical terms used in the present invention should be the common meanings understood by the technical personnel described in the present invention.

[0033] Example:

[0034] The present invention discloses an intelligent control method for electric heating based on priority allocation, see Figure 1 ,include:

[0035] Step S100, setting an initial priority for each heating area in the heating area list, and determining an initial power allocation strategy for the total limited heating power based on the initial priority of each heating area.

[0036] The principle of this step is to set initial priorities based on the importance and urgency of the heating areas. For example, heating areas in important places such as hospital operating rooms and nursing homes may be given higher priorities. The system will then allocate limited heating power based on these priorities to ensure that high-priority areas can receive sufficient heating support.

[0037] In some embodiments disclosed in the present invention, the method for determining the initial power allocation strategy of the total limited heating power based on the initial priority of each heating zone includes:

[0038] Step S101, obtaining a specific value of the total limited heating power, and determining the normal heating power, the heat preservation heating power and the low heating power for each heating area.

[0039] In this step, we first need to clarify the total limited heating power of the heating system, which is the basis of the entire power allocation strategy. The total limited heating power is determined based on the design capacity of the heating system, energy supply conditions, and possible external constraints (such as environmental protection policies, energy costs, etc.). At the same time, for each heating area, three different power levels need to be set: normal heating power, insulation heating power, and low heating power. These three power levels represent the heating capacity of the heating area under different demands and system conditions, providing a basis for subsequent power allocation and adjustment.

[0040] Step S102, based on the size of the initial priority of each heating area, the heating areas are prioritized to obtain the heating area priority arrangement sequence, and normal heating power is configured for all heating areas. The overall heating power of all heating areas is calculated. If the overall heating area is greater than the total restricted heating power, the power is downgraded in the heating area priority arrangement sequence in a countdown manner, and the overall heating power is recalculated until the overall heating power is less than or equal to the total restricted heating power.

[0041] In this step, all heating areas are first sorted according to the initial priority of each heating area to form a heating area priority arrangement sequence. This sequence reflects which areas should be given priority to adequate heating when the heating power is limited. The basis for sorting may include factors such as the importance of the area, frequency of use, population density, and historical heating data. Then, the system will initially configure normal heating power for all heating areas and calculate the overall heating power at this time. If the overall heating power exceeds the total limited heating power, the heating area needs to be downgraded. The downgrade process starts from the end of the heating area priority arrangement sequence, and the power of the heating area is gradually reduced from normal heating power to insulation heating power, or even low heating power. After each downgrade, the overall heating power is recalculated until a power allocation scheme that meets all constraints is found. In this way, it can be ensured that when the heating power is limited, the needs of high-priority heating areas are met first, while the heating effect of other areas is guaranteed as much as possible.

[0042] Step S200, collect the plan map of the heating area, and delineate the functional blocks in each plan map of the heating area respectively, identify the human body in the on-site historical monitoring video, and configure the identified human body on the plan map of the heating area in the form of human body mapping points, and record the functional blocks experienced by each human body mapping point, the length of time spent in the functional block, the regional stay time section in the heating area, and the human behavior characteristics to form a human body mapping point feature data group.

[0043] The principle of this step is to collect the plan view of the heating area, divide the heating area into different functional blocks, and use image recognition technology to identify the human body from the historical monitoring video, and map its position to the plan view of the heating area. The system records the residence time of each human mapping point in different functional blocks, the residence time segment in the heating area, and the human behavior characteristics (such as walking, sitting, etc.), thereby forming a detailed human mapping point feature data set. These data provide an important basis for subsequent intelligent control.

[0044] In some embodiments disclosed in the present invention, a method for screening a plurality of human body mapping point feature data sets for equality includes:

[0045] Step S201, analyze the regional residence time segments in several human body mapping point feature data groups, screen out several marked residence time segments, take the marked residence time segments as the first screening condition, analyze the first matching feature of the regional residence time segments relative to the marked residence time segments in each human body mapping point feature data group, take the first matching feature as the first screening condition, and perform the first screening and classification on the human body mapping point feature data groups.

[0046] In this step, we first need to conduct an in-depth analysis of the regional residence time segments in the collected human body mapping point feature data set. Through comparison and statistics, we screen out several representative landmark residence time segments, which may reflect the typical behavior patterns of the human body in the heating area. Then, we use these landmark residence time segments as the first screening condition to analyze the degree of fit between the regional residence time segment and the landmark residence time segment in each human body mapping point feature data set, i.e., the first matching feature. According to the first matching feature, we perform the first screening and classification of the human body mapping point feature data set, and classify the data sets with similar residence time patterns into one category.

[0047] Step S202, taking the functional block experienced by the human body mapping point as the second screening condition, performing a second screening and classification on the human body mapping point feature data group after the first screening and classification, and taking the block residence time length as the third screening condition, performing a third screening and classification on the human body mapping point feature data group after the second screening and classification, and based on the human body behavior characteristics, performing a fourth screening and classification on the human body mapping point feature data group after the third screening and classification.

[0048] After completing the first screening and classification, a more detailed screening will be carried out. First, the functional blocks that the human body mapping points have experienced are used as the second screening conditions, and the human body mapping point feature data group after the first screening and classification is screened and classified for the second time. The purpose of this step is to further distinguish the behavior patterns of the human body in different functional blocks in the heating area. Then, the length of the block residence time is used as the third screening condition, and the human body mapping point feature data group that has been screened and classified for the second time is screened and classified for the third time. The length of the block residence time can reflect the activity intensity and time distribution of the human body in a specific functional block. Finally, based on the human body behavior characteristics, such as walking, sitting still, etc., the human body mapping point feature data group that has been screened and classified for the third time is screened and classified for the fourth time. The purpose of this step is to further refine the human body's behavior patterns in the heating area in order to provide more accurate data support for subsequent intelligent control.

[0049] In some embodiments disclosed in the present invention, a method for screening a plurality of human body mapping point feature data sets for equality includes:

[0050] Step S201, analyze the regional residence time segments in several human body mapping point feature data groups, screen out several marked residence time segments, take the marked residence time segments as the first screening condition, analyze the first matching feature of the regional residence time segments relative to the marked residence time segments in each human body mapping point feature data group, take the first matching feature as the first screening condition, and perform the first screening and classification on the human body mapping point feature data groups.

[0051] In some embodiments disclosed in the present invention, a method for analyzing the regional residence time segments in a plurality of human body mapping point feature data sets and screening out a plurality of marked residence time segments includes:

[0052] Step S2011, establish a dwell time reference axis, set a number of dwell reference points on the dwell time reference axis, map a number of regional dwell time segments to the dwell time reference axis, and analyze the number of segments of the dwell time segment corresponding to each dwell reference point.

[0053] Step S2012, based on the segment quantity of each dwell reference point, set segment quantity vertical axis mapping points in the vertical direction of the dwell time reference axis, connect each segment quantity vertical axis mapping point with each other, and perform linear fitting to obtain a segment quantity mapping change curve.

[0054] Step S2013, the segment quantity mapping change curve is gradually scanned and analyzed. If a curvature rising segment appears and rises to the first preset segment quantity mapping value, the middle point of the curvature rising segment is identified as the segment interception starting point. When a curvature decreasing segment appears and decreases to the second preset segment quantity mapping value, the middle value of the curvature decreasing segment is identified as the segment interception end point.

[0055] Step S2014: The segment between the segment cutting start point and the segment cutting end point is identified as a mark stay time segment.

[0056] In some embodiments disclosed in the present invention, a method for analyzing a first matching feature of a region dwell time segment relative to a marker dwell time segment in each human body mapping point feature data set includes:

[0057] Step S2015, analyzing the overlapping segment lengths of the area stay time segment and the mark stay time segment, and calculating the segment length ratio of the overlapping segment length to the area segment length of the area stay time segment.

[0058] Step S2016, determining all regional stay time segments with overlapping marker stay time segments, calculating the average segment lengths of these regional stay time segments, and calculating the segment length difference between the average segment length and the regional segment length.

[0059] Step S2017, constructing a first matching parameter expression based on the segment length ratio, the average segment length and the marker segment length of the marker dwell time segment, and calculating the first matching parameter based on the first matching parameter expression.

[0060] The expression for calculating the first matching parameter is:

[0061] .

[0062] in, is the first matching parameter, is the first matching parameter conversion coefficient, is the length of the regional segment for the regional dwell time segment, is the length of the marking section that marks the stay time section, is the average segment length, To mark the adjustment coefficient of the section length, is the reference length of the preset marker section. A constant that adjusts the length of the marker segment.

[0063] Step S202, taking the functional block experienced by the human body mapping point as the second screening condition, performing a second screening and classification on the human body mapping point feature data group after the first screening and classification, and taking the block residence time length as the third screening condition, performing a third screening and classification on the human body mapping point feature data group after the second screening and classification, and based on the human body behavior characteristics, performing a fourth screening and classification on the human body mapping point feature data group after the third screening and classification.

[0064] In some embodiments disclosed in the present invention, based on human behavior characteristics, the method of performing a fourth screening and classification on the human body mapping point feature data set after the third screening and classification includes:

[0065] Step S2021, judge the posture of the human body, including standing, walking, sitting or lying down, and determine the posture duration and posture repetition frequency in each posture, and based on the consistency of the posture, the consistency of the posture duration and the consistency of the posture repetition frequency, perform a fourth screening and classification of the human body mapping point feature data group.

[0066] Step S300, performing equality screening on a plurality of human body mapping point feature data sets to obtain a plurality of human body mapping point feature data sets, and performing average calculation on the corresponding regional residence time segments in each human body mapping point feature data set to obtain a reference regional residence time segment.

[0067] The principle of this step is to screen multiple human body mapping point feature data sets for equality, remove duplicate or abnormal data, and form a more representative feature data set. Then, the system averages the corresponding regional residence time segments in each data set to obtain reference regional residence time segments. These reference data help the system to more accurately understand the human body's behavior patterns in the heating area and provide a scientific basis for subsequent power allocation strategy corrections.

[0068] Step S400 , based on the reference area residence time segment corresponding to each human body mapping point feature data set, the initial power allocation strategy is corrected and supplemented for the first time.

[0069] The principle of this step is to adjust the initial power allocation strategy according to the reference area residence time segment. For example, if the reference area residence time segment of a heating area is long, it means that human activities in this area are more frequent, so the heating power of this area may need to be increased to meet the demand. Through such corrections and supplements, the system can respond more flexibly to the actual demand changes in the heating area.

[0070] In some embodiments disclosed in the present invention, the method for performing a first correction and supplement to the initial power allocation strategy includes:

[0071] Step S401, a driving power time reference axis is set, and a power configuration columnar expression model is established corresponding to the driving power time reference axis. The power configuration columnar expression model is parallel to the driving power time reference axis, and the circular section of the power configuration columnar expression model includes a number of regional power configuration sector blocks, each regional power configuration sector block is used to correspond to the heating power of the heating area, and the sector center angle is used to express the size of the heating power.

[0072] The core of this step is to build an intuitive and easy-to-adjust power configuration model. First, set a driving power time reference axis, which will serve as the basis of the model to represent changes in time. Next, establish a power configuration columnar expression model parallel to the driving power time reference axis. The characteristic of this model is that its circular section is divided into several regional power configuration sectors, each of which corresponds to the heating power of a heating area. In particular, the fan center angle of the sector block is used to intuitively express the size of the heating power. The larger the angle, the higher the heating power of the area.

[0073] Step S402, based on the initial power allocation strategy, adjust and set the power configuration columnar expression model, and based on the reference area residence time segment corresponding to each heating area, expand the corresponding area power configuration sector block of the power configuration columnar expression model corresponding to the time segment, and reduce the power configuration sector blocks of other corresponding areas.

[0074] After the power configuration columnar expression model is established, the next step is to adjust it according to the initial power allocation strategy. First, based on the initial power allocation strategy, determine the initial power configuration of each heating area in the model. Then, taking into account the reference area residence time segment corresponding to each heating area, that is, the period when the human body stays in the heating area for a long time, the regional power configuration sector blocks in the power configuration columnar expression model corresponding to these periods are expanded and adjusted. This means that during these periods, the heating power of the corresponding heating areas will be increased to meet the needs of human comfort. At the same time, in order to keep the total heating power within the limit, it is necessary to reduce the corresponding regional power configuration sector blocks of other time periods, that is, reduce the heating power of these time periods.

[0075] Step S500, identifies the human body in the real-time monitoring video on site, determines the human body mapping point feature data group mapped for each human body, and based on the mapped human body mapping point feature data group, determines the length of time each human body stays in the remaining area, and based on the length of time each human body stays in the remaining area, performs a second correction and supplement on the initial power allocation strategy after the first correction and supplement, obtains the current power allocation strategy, and based on the current power allocation strategy, performs heating power control on different heating areas.

[0076] The principle of this step is to update the human body mapping point feature data set in real time through real-time monitoring video, and determine the length of time each human body stays in the remaining area based on this. The system will make a second correction and supplement to the power allocation strategy based on these real-time data to ensure that the allocation of heating power matches the current human activity. Through such dynamic adjustments, the system can more accurately control the heating power of different heating areas, improve heating efficiency and user experience.

[0077] In some embodiments disclosed in the present invention, based on the length of time each human body stays in the current area, a method for performing a second correction and supplement to the initial power allocation strategy after the first correction and supplement includes:

[0078] Step S501, determine the model node where the current relative power configuration columnar expression model is located, and based on the remaining regional residence time of the human body in the heating area, shift the retention time of the regional power configuration sector block corresponding to the model node of the power configuration columnar expression model backward; if there are multiple regional power configuration sector blocks whose retention time needs to be shifted backward, each regional power configuration sector block is reduced and adjusted separately.

[0079] In some embodiments disclosed in the present invention, there is also disclosed an electric heating intelligent control system based on priority allocation, including:

[0080] The first module is used to set an initial priority for each heating area in the heating area list, and determine an initial power allocation strategy of the total limited heating power based on the initial priority of each heating area;

[0081] The second module is used to collect the plan map of the heating area, and respectively delineate the functional blocks in each plan map of the heating area, and identify the human body in the on-site historical monitoring video, and configure the identified human body on the plan map of the heating area in the form of human body mapping points, and record the functional blocks experienced by each human body mapping point, the length of time it stays in the functional block, the regional stay time section in the heating area, and the human behavior characteristics, to form a human body mapping point feature data group;

[0082] The third module is used to perform equality screening on a plurality of human body mapping point feature data sets to obtain a plurality of human body mapping point feature data sets, and average the corresponding regional residence time segments in each human body mapping point feature data set to obtain a reference regional residence time segment;

[0083] The fourth module is used to make a first correction and supplement to the initial power allocation strategy based on the reference area residence time segment corresponding to each human body mapping point feature data set;

[0084] The fifth module is used to identify human bodies in the real-time monitoring video on site, determine the human body mapping point feature data group mapped for each human body, and determine the length of time each human body stays in the remaining area based on the mapped human body mapping point feature data group, and based on the length of time each human body stays in the remaining area, perform a second correction and supplement on the initial power allocation strategy after the first correction and supplement to obtain the current power allocation strategy, and based on the current power allocation strategy, perform heating power control on different heating areas.

[0085] The present invention discloses an electric heating intelligent control method and system based on priority allocation, which relates to an electric heating control system. First, an initial priority is set for a heating area, and an initial power allocation strategy is determined accordingly; through on-site historical monitoring videos, the behavioral characteristics of a human body in the heating area are identified and recorded to form a human body mapping point feature data group; the human body mapping point feature data group after equality screening is analyzed to calculate a reference area residence time segment, and the initial power allocation strategy is corrected and supplemented twice accordingly: the first correction is based on the reference area residence time segment, and the second correction is based on real-time adjustment combined with human body behavior data in real-time monitoring videos; the current power allocation strategy is obtained, and accurate heating power control is performed on different heating areas accordingly; the present invention realizes efficient and intelligent allocation of heating power by introducing a priority allocation mechanism and intelligent analysis technology, thereby improving heating efficiency and user experience.

[0086] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent control method for electric heating based on priority allocation, characterized in that: include: An initial priority is set for each heating zone in the heating zone list, and an initial power allocation strategy of the total limited heating power is determined based on the initial priority of each heating zone; Collect the plan of the heating area, and delineate the functional blocks in each plan of the heating area respectively, identify the human body in the on-site historical monitoring video, and configure the identified human body on the plan of the heating area in the form of human body mapping points, and record the functional blocks experienced by each human body mapping point, the length of time spent in the functional block, the time section spent in the heating area, and the human behavior characteristics, to form a human body mapping point feature data group; Performing equality screening on a plurality of human body mapping point feature data sets to obtain a plurality of human body mapping point feature data sets, and performing average calculation on the corresponding regional residence time segments in each human body mapping point feature data set to obtain a reference regional residence time segment; Based on the reference area residence time segment corresponding to each human body mapping point feature data set, the initial power allocation strategy is corrected and supplemented for the first time; The human body in the real-time monitoring video is identified, and the human body mapping point feature data group of each human body is determined. Based on the mapped human body mapping point feature data group, the length of time each human body stays in the remaining area is determined. Based on the length of time each human body stays in the remaining area, the initial power allocation strategy after the first correction and supplement is corrected and supplemented for the second time to obtain the current power allocation strategy. Based on the current power allocation strategy, the heating power of different heating areas is controlled.

2. The electric heating intelligent control method based on priority allocation according to claim 1 is characterized in that: The method for determining the initial power allocation strategy of the total limited heating power based on the initial priority of each heating zone includes: Obtaining the specific value of the total limited heating power, and determining the normal heating power, insulation heating power and low heating power for each heating area; Based on the size of the initial priority of each heating area, the heating areas are prioritized to obtain the heating area priority arrangement sequence, and normal heating power is configured for all heating areas. The overall heating power of all heating areas is calculated. If the overall heating area is greater than the total restricted heating power, the power is downgraded in a countdown manner in the heating area priority arrangement sequence, and the overall heating power is recalculated until the overall heating power is less than or equal to the total restricted heating power.

3. The electric heating intelligent control method based on priority allocation according to claim 2 is characterized in that: The method for screening a plurality of human body mapping point feature data sets for equality includes: Analyze the regional residence time segments in a plurality of human body mapping point feature data sets, select a plurality of mark residence time segments, use the mark residence time segments as the first screening condition, analyze the first matching feature of the regional residence time segment relative to the mark residence time segment in each human body mapping point feature data set, use the first matching feature as the first screening condition, and perform the first screening and classification on the human body mapping point feature data set; The functional block experienced by the human body mapping point is used as the second screening condition, and the human body mapping point feature data group after the first screening and classification is subjected to a second screening and classification. The block residence time length is used as the third screening condition, and the human body mapping point feature data group after the second screening and classification is subjected to a third screening and classification. Based on the human body behavior characteristics, the human body mapping point feature data group after the third screening and classification is subjected to a fourth screening and classification.

4. The electric heating intelligent control method based on priority allocation according to claim 3 is characterized in that: The method of analyzing the regional residence time segments in a plurality of human body mapping point feature data sets and selecting a plurality of marked residence time segments includes: Establishing a residence time reference axis, setting a number of residence reference points on the residence time reference axis, mapping a number of regional residence time segments to the residence time reference axis, and analyzing the number of segments of the residence time segment corresponding to each residence reference point; Based on the number of segments at each dwell reference point, a segment number vertical axis mapping point is set in the vertical direction of the dwell time reference axis, and each segment number vertical axis mapping point is connected to each other and linear fitting is performed to obtain a segment number mapping change curve; The segment quantity mapping change curve is scanned and analyzed step by step. If a curvature rising segment appears and rises to a first preset segment quantity mapping value, the middle point of the curvature rising segment is identified as the segment interception starting point. If a curvature falling segment appears and falls to a second preset segment quantity mapping value, the middle value of the curvature falling segment is identified as the segment interception end point. The segment between the segment cutting start point and the segment cutting end point is identified as the marker stay time segment.

5. The electric heating intelligent control method based on priority allocation according to claim 3 is characterized in that: The method for analyzing the first matching feature of the area residence time segment relative to the mark residence time segment in each human body mapping point feature data set includes: Analyze the overlapping segment lengths of the regional stay time segment and the marking stay time segment, and calculate the segment length ratio of the overlapping segment length to the regional segment length of the regional stay time segment; Determine all regional stay time segments that overlap with the marked stay time segments, calculate the average segment lengths of these regional stay time segments, and calculate the segment length difference between the average segment length and the regional segment length; Based on the segment length ratio, the average segment length and the marker segment length of the marker dwell time segment, a first matching parameter expression is constructed, and a first matching parameter is calculated based on the first matching parameter expression; The expression for calculating the first matching parameter is: ； in, is the first matching parameter, is the first matching parameter conversion coefficient, is the length of the regional segment for the regional dwell time segment, is the length of the marking section that marks the stay time section, is the average segment length, To mark the adjustment coefficient of the section length, is the reference length of the preset marker section. A constant that adjusts the length of the marker segment.

6. The electric heating intelligent control method based on priority allocation according to claim 3 is characterized in that: Based on the human behavior characteristics, the method for performing a fourth screening and classification on the human body mapping point feature data set after the third screening and classification includes: Determine the posture of the human body, including standing, walking, sitting or lying down, and determine the posture duration and posture repetition frequency in each posture. Based on the consistency of the posture, the consistency of the posture duration and the consistency of the posture repetition frequency, perform a fourth screening and classification of the human body mapping point feature data group.

7. The electric heating intelligent control method based on priority allocation according to claim 2 is characterized in that: Methods for making the first correction to the initial power allocation strategy include: A driving power time reference axis is set, and a power configuration columnar expression model is established corresponding to the driving power time reference axis. The power configuration columnar expression model is parallel to the driving power time reference axis, and the circular section of the power configuration columnar expression model includes a number of regional power configuration sector blocks, each regional power configuration sector block is used to correspond to the heating power of the heating area, and the sector center angle is used to express the size of the heating power; Based on the initial power allocation strategy, the power configuration columnar expression model is adjusted and set. Based on the reference area residence time segment corresponding to each heating area, the power configuration sector blocks of the corresponding areas of the power configuration columnar expression model corresponding to the time segment are expanded and adjusted, and the power configuration sector blocks of other corresponding areas are reduced.

8. The electric heating intelligent control method based on priority allocation according to claim 7 is characterized in that: Based on the length of time each human body stays in the current area, the method for performing a second correction and supplement to the initial power allocation strategy after the first correction and supplement includes: Determine the model node where the current relative power configuration columnar expression model is located, and based on the remaining regional residence time of the human body in the heating area, shift the retention time of the regional power configuration sector block corresponding to the model node of the power configuration columnar expression model backward; if there are multiple regional power configuration sector blocks whose retention time needs to be shifted backward, reduce and adjust each regional power configuration sector block separately.

9. An electric heating intelligent control system based on priority allocation, characterized in that: include: The first module is used to set an initial priority for each heating area in the heating area list, and determine an initial power allocation strategy of the total limited heating power based on the initial priority of each heating area; The second module is used to collect the plan map of the heating area, and respectively delineate the functional blocks in each plan map of the heating area, and identify the human body in the on-site historical monitoring video, and configure the identified human body on the plan map of the heating area in the form of human body mapping points, and record the functional blocks experienced by each human body mapping point, the length of time it stays in the functional block, the regional stay time section in the heating area, and the human behavior characteristics, to form a human body mapping point feature data group; The third module is used to perform equality screening on a plurality of human body mapping point feature data sets to obtain a plurality of human body mapping point feature data sets, and average the corresponding regional residence time segments in each human body mapping point feature data set to obtain a reference regional residence time segment; The fourth module is used to make a first correction and supplement to the initial power allocation strategy based on the reference area residence time segment corresponding to each human body mapping point feature data set; The fifth module is used to identify human bodies in the real-time monitoring video on site, determine the human body mapping point feature data group mapped for each human body, and determine the length of time each human body stays in the remaining area based on the mapped human body mapping point feature data group, and based on the length of time each human body stays in the remaining area, perform a second correction and supplement on the initial power allocation strategy after the first correction and supplement to obtain the current power allocation strategy, and based on the current power allocation strategy, perform heating power control on different heating areas.

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