Access control method based on access control registration

Abstract

The present invention relates to the field of access control technology, and in particular to an access control method based on access control registration, comprising: retrieving pre-stored access control registration information and historical elevator operation records within a preset period; dividing the historical elevator operation records into a one-way operation path set; based on the one-way operation path set, matching the access control registration information of each one-way operation path to generate an elevator riding information set for each access control registration information; extracting the corresponding single-day characteristic time period based on the single-day elevator riding information subset of each access control registration information; determining key time periods with different date attributes based on the daily characteristic time period and daily date attributes of each access control registration information; and determining the elevator operation control strategy for the day based on the key time period of each access control registration information in response to real-time date attributes. The present invention achieves precise docking of elevator scheduling with user needs by dynamically matching residents' key time periods and intelligently adjusting elevator dwell time, significantly improving operational efficiency and service experience.

Description

Technical Field

[0001] The present invention relates to the technical field of access control, and in particular to an access control method based on access registration. Background Art

[0002] At present, access control elevators generally adopt a default dwell time control mechanism, that is, setting a fixed dwell time on each floor; although this method is easy to manage and control, it has obvious limitations. Since the default dwell time is set uniformly, it cannot adapt to the personalized travel needs of residents. For example, residents with pets need to prepare dog walking tools after returning home, and sports enthusiasts need to change clothes when they return home. As a result, the elevator automatically returns to the first floor before the residents have completed their preparations; the residents need to call the elevator again, causing the elevator to travel back and forth empty, which not only increases the residents' waiting time, but also increases the energy consumption of the elevator operation, aggravates equipment wear, reduces the service life of the elevator, and also affects the overall operating efficiency and the residents' user experience.

[0003] Patent application number 202411498947.X discloses an elevator safety operation control system, method and intelligent elevator based on multivariate data, including a sensor control module, an access control module and an early warning prompt module; the sensor control module is used to collect elevator operation data; the access control module includes a stop analysis unit for receiving elevator operation data, judging whether the elevator has reached the target stop state, and generating a stop signal when it reaches it; an unlocking control unit is used to generate an unlocking control instruction according to the stop signal; a delay control unit is used to respond to the unlocking control instruction to control the elevator door to open and close with a preset delay; the early warning prompt module includes a behavior recognition unit for detecting the passenger's behavior pattern and identifying the passenger's dangerous elevator behavior; the early warning prompt unit is used to warn the passenger through voice or indicator lights when there is dangerous elevator behavior. The present invention improves the safety of elevator operation by performing a smooth analysis of the elevator stop and controlling the door opening and closing by delaying. It can be seen that the existing problems have the following problems:

[0004] The travel patterns of each owner were not comprehensively analyzed by analyzing their different access control registration data and travel data, and the elevator operation was not adaptively controlled according to the travel patterns of each owner. Summary of the Invention

[0005] To this end, the present invention provides an access control method based on access control registration to overcome the problems in the prior art that the travel patterns of each owner are not comprehensively analyzed by analyzing their different access control registration data and travel data, and the elevator operation is not adaptively controlled according to the travel patterns of each owner.

[0006] To achieve the above object, the present invention provides an access control method based on access registration, comprising:

[0007] Step S1, retrieve pre-stored access control registration information and historical elevator operation records within a preset period, wherein the historical elevator operation records include historical operation paths and car monitoring videos;

[0008] Step S2, dividing the elevator historical operation record into a one-way operation path set;

[0009] Step S3, based on the one-way running path set, matching the access control registration information of each one-way running path to generate an elevator information set of each access control registration information, wherein the elevator information set includes the elevator time and the elevator path;

[0010] Step S4, extracting the corresponding single-day characteristic time period based on the single-day elevator riding information subset of each access control registration information;

[0011] Step S5, determining key time periods with different date attributes based on the daily characteristic time periods and daily date attributes of each access control registration information, wherein the date attributes include working days and weekends;

[0012] Step S6, in response to the real-time date attribute, determines the elevator operation control strategy for the day according to the key time period of each access control registration information, including:

[0013] In response to the identification of each access control registration information, the elevator dwell time is determined according to the relationship between the access control response time and the corresponding key time period.

[0014] As a preferred technical solution of the access control method based on access control registration, in step S1, the access control registration information includes the registered facial information and household number of the resident.

[0015] As a preferred technical solution of the access control method based on access control registration, in step S3, the process of matching the access control registration information of each one-way running path includes:

[0016] Step S311, obtaining the corresponding elevator monitoring video based on the time of a single one-way running path;

[0017] Step S312, extracting passengers based on the elevator monitoring videos associated with each unidirectional running path;

[0018] Step S313: perform similarity matching between the facial information of the person taking the elevator and the registered facial information to bind the one-way running path and the access control registration information.

[0019] As a preferred technical solution of the access control method based on access registration, step S3 further includes:

[0020] Step S32: Aggregate all one-way running paths with the same access control registration information to construct an elevator riding information set of each access control registration information within a preset period.

[0021] As a preferred technical solution of the access control method based on access control registration, in step S4, the process of extracting the corresponding single-day characteristic time period based on the single-day elevator riding information subset of each access control registration information includes:

[0022] Step S41, obtaining a single-day elevator ride information subset of a single access control registration information to determine a single-day elevator ride time sequence;

[0023] Step S42, determining a characteristic period according to the time interval between two adjacent elevator riding time series, wherein:

[0024] If the time interval is less than or equal to the standard time length, the time interval is determined to be a single-day characteristic period of the day;

[0025] If the time interval is greater than the standard time length, it is determined that the time interval is not a single-day characteristic time period of the day.

[0026] As a preferred technical solution of the access control method based on access control registration, in step S5, the process of determining the key time periods of different date attributes based on the daily characteristic time periods and daily date attributes of each access control registration information includes:

[0027] Step S51, obtaining a date set with a characteristic time period, and dividing it into a working day date set and a rest day date set;

[0028] Step S52: Based on the date attributes of each date set and in combination with the midpoint time of each characteristic time period, the characteristic time period is classified into hourly groups to form a characteristic time period set;

[0029] Step S53: Determine whether to determine a key period based on the characteristic period set according to the distribution density and time fluctuation parameter of the characteristic period set, wherein:

[0030] If the distribution density is greater than or equal to the preset distribution density and the time fluctuation parameter is less than or equal to the preset fluctuation parameter, the key time period is determined according to the corresponding characteristic time period set.

[0031] As a preferred technical solution of the access control method based on access control registration, in step S53, the process of determining the distribution density of the characteristic time period set includes:

[0032] Step A1, determining the number of characteristic time periods of a single characteristic time period set and the date attribute of the characteristic time period set;

[0033] Step A2, determining the number of days with the same attribute as the date attribute of the characteristic time period set within a preset period;

[0034] Step A3: determining the distribution density according to the ratio of the number of the characteristic time periods to the corresponding number of days with the same attribute.

[0035] As a preferred technical solution of the access control method based on access control registration, in step S53, the process of determining the time fluctuation parameter of the characteristic time period set includes:

[0036] Step B1, calculating the average deviation and average value of each midpoint time of a single feature time period set;

[0037] Step B2: determining a time fluctuation parameter according to the ratio of the average deviation to the average value.

[0038] As a preferred technical solution of the access control method based on access control registration, in step S53, the step of determining the key time period according to the corresponding characteristic time period set includes:

[0039] Step S531, determining the start time, end time and characteristic duration of each characteristic time period in the characteristic time period set;

[0040] Step S532: setting the start time and the end time of the key period according to the earliest start time and the latest end time.

[0041] As a preferred technical solution of the access control method based on access control registration, in step S6, in response to the identification of each access control registration information, the process of determining the elevator dwell time according to the relationship between the access control response time and the corresponding key time period includes:

[0042] Step S61, determining the key time period of each access control registration information under the date attribute according to the date attribute;

[0043] Step S62, in response to the external opening of the door control, automatically identifying the face information of the person opening the door and matching the corresponding door control registration information and the corresponding key time period of the day;

[0044] Step S63: Compare the access control response time with the key time period of the day and determine the elevator dwell time based on the comparison result, where:

[0045] If the access control response time is within the key period, the elevator will be controlled to stay at the floor where the access control registration information is located for a special period of time;

[0046] If the access control response time is not within the key period, the elevator will be controlled to stay at the floor where the access control registration information is located for the default stay time;

[0047] The floor where the access control registration information is located is determined according to the corresponding household number, and the special duration is determined according to the characteristic duration of each access control registration information.

[0048] Compared with the existing technology, the present invention has the following advantages: the access control method based on access control registration provides a periodic analysis of access control registration information and historical elevator operation records to accurately extract resident elevator riding information and key time periods, and formulate elevator operation control strategies based on real-time date attributes, effectively reducing elevator idle trips, reducing operating costs, extending service life, and improving resident elevator riding efficiency and experience;

[0049] In particular, step S3 retrieves the elevator surveillance video based on the one-way running path time, extracts the elevator passengers and performs facial information similarity matching, accurately binds the one-way running path with the access control registration information, and then aggregates the one-way paths with the same registration information to construct the elevator information set. This achieves the accurate collection and integration of residents' elevator data, providing a detailed and reliable data foundation for the subsequent extraction of travel characteristic time periods and the formulation of elevator operation strategies, and effectively ensures the accuracy and practicality of the analysis results of the entire access control method;

[0050] In particular, step S4 obtains the single-day elevator ride time series of a single access control registration information and arranges them in order, and compares the time intervals between adjacent elevator ride time series with the standard duration to accurately identify the coherent single-day characteristic time periods, effectively filtering out the time intervals of residents' incoherent travel, thereby more accurately grasping the core travel patterns of residents in a single day, providing key and practical time data support for the subsequent formulation of elevator operation control strategies based on key time periods, avoiding elevators waiting when residents do not need them, and improving elevator operation efficiency and resource utilization.

[0051] In particular, step S5 divides the dates with characteristic time periods into sets of weekdays and weekends, performs hourly classification and clustering based on the midpoint time of the characteristic time periods, and determines the regularity of the characteristic time period sets based on distribution density and time fluctuation parameters. This can accurately distinguish the differences in residents' travel patterns on weekdays and weekends, effectively filter out occasional or irregular travel periods, and select truly representative key periods. This provides a scientific and reliable basis for formulating elevator operation strategies that meet the travel needs of residents on different dates, significantly improving the pertinence and intelligence level of elevator operation.

[0052] In particular, step S53 accurately evaluates the regularity and stability of the characteristic time period set in a scientific and quantitative manner, providing a reliable basis for the determination of key time periods. It calculates the distribution density by calculating the ratio of the number of characteristic time periods to the number of days with the same attribute, intuitively reflecting the frequency of regular travel of residents under specific date attributes, ensuring that high-frequency time periods are identified first; at the same time, the time fluctuation parameter is calculated using the ratio of the average deviation to the average value, effectively measuring the time stability of the characteristic time period, and excluding occasional or highly fluctuating travel behaviors. This dual-parameter evaluation mechanism not only ensures that the key time periods can truly reflect the travel habits of the residents, but also avoids incorporating irregular time periods into the control strategy through screening and filtering based on preset thresholds, thereby significantly improving the matching degree between elevator scheduling and residents' needs and optimizing resource utilization efficiency;

[0053] In particular, step S6 achieves precise matching of elevator scheduling with user needs by dynamically matching residents' key time periods and intelligently adjusting elevator dwelling time, significantly improving operational efficiency and service experience. This step first retrieves the corresponding key time period based on date attributes to ensure that the strategy fits the travel patterns of the day. Resident identities and time periods are matched in real time through target object recognition to provide a basis for personalized scheduling. The access control response time is then compared with the key time period, and a special intelligent waiting time is given to regular travel behaviors to accurately meet the user's downtime needs after a short stay at home, avoiding empty trips of the elevator. At the same time, the default time is retained to deal with irregular scenarios, taking into account flexibility and stability. This differentiated dwelling strategy not only reduces residents' waiting time, but also reduces ineffective elevator operation. While optimizing resource utilization, it improves the overall service quality by adapting to different travel modes, achieving dual optimization of efficiency and experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a step diagram of an access control method based on access registration according to an embodiment of the present invention;

[0055] Figure 2 A flowchart of determining key time periods for different date attributes according to an embodiment of the present invention;

[0056] Figure 3 The flowchart of determining the elevator dwell time according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0058] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0059] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0060] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0061] See also Figure 1 As shown in FIG, it is a connection diagram of an access control method based on access control registration according to an embodiment of the present invention. An embodiment of the present invention provides an access control method based on access control registration, including:

[0062] Step S1: Retrieve pre-stored access control registration information and historical elevator operation records within a preset period, wherein the historical elevator operation records include historical operation routes and car monitoring videos. It is understandable that since each person's travel habits tend to remain for a relatively long time, the preset period is usually set to 1 month.

[0063] Step S2: dividing the elevator operation history record into a one-way operation path set. It is understood that the elevator operation record is a whole, and step S2 divides the whole record into a one-way operation path set consisting of one-way operation paths. It is understood that a one-way operation path in the present invention refers to the uninterrupted operation of the elevator in a single operation direction. For example, if the elevator operation history record includes a process in which the elevator runs from the 1st floor to the 6th floor, then to the 10th floor, then to the 3rd floor, and then to the 7th floor, then this process can be divided into four one-way operation paths, namely: running from the 1st floor to the 6th floor, running from the 6th floor to the 10th floor, running from the 10th floor to the 3rd floor, and running from the 3rd floor to the 7th floor. These four one-way operation paths constitute the one-way operation path set.

[0064] Step S3, based on the one-way running path set, matching the access control registration information of each one-way running path to generate an elevator information set of each access control registration information, wherein the elevator information set includes the elevator time and the elevator path;

[0065] Step S4, extracting the corresponding single-day characteristic time period based on the single-day elevator riding information subset of each access control registration information;

[0066] Step S5, determining key time periods with different date attributes based on the daily characteristic time periods and daily date attributes of each access control registration information, wherein the date attributes include working days and weekends;

[0067] It is understood that the process of steps S1 to S5 is a process of analyzing household travel data. The travel habits of each household should be regular and will be maintained for a long time. Therefore, daily analysis is not necessary, but only periodic analysis is sufficient. In practice, analysis is usually performed once within a preset time period, which is usually 1 to 3 months.

[0068] Step S6, in response to the real-time date attribute, determines the elevator operation control strategy for the day according to the key time period of each access control registration information, including:

[0069] In response to the identification of each access control registration information, the elevator dwell time is determined based on the relationship between the access control response time and the corresponding key time period;

[0070] It is understandable that step S6 is an application of the analysis results of the first five steps, so the real-time date attribute of the day is determined at 24:00 every day, and the key time period of each access control registration information is determined.

[0071] In practice, many residents have pets or love sports. After get off work, these residents will go home to walk their dogs or change clothes to go out for exercise. However, changing clothes and preparing dog walking tools usually takes some time, which is usually slightly longer than the standard length of time the elevator stays (that is, the time each elevator will stay on each floor, and this time is the same). After that, the elevator will automatically return to the first floor; therefore, there will always be a situation where the residents who have just gone down or have already reached the first floor (and no one is waiting on the first floor to use the elevator) have to take the elevator down. At this time, they need to call the elevator again. This process causes the elevator to make an empty round trip, which not only increases the waiting time for the residents but also increases the elevator operating costs and reduces its service life; the access control method provided by the present invention is precisely to solve this problem.

[0072] It can be understood that the present invention retrieves pre-stored access control registration information and historical elevator operation records within a preset period, divides the operation records into a one-way operation path set and matches the access control registration information to generate an elevator information set, and then extracts single-day characteristic time periods and key time periods with different date attributes, which can accurately grasp the travel habits of residents and provide a reliable basis for subsequent control strategies; according to the key time periods and real-time date attributes of each access control registration information, the elevator operation control strategy for the day is formulated, and in particular, the elevator dwell time is determined according to the relationship between the access control response time and the key time period, thereby avoiding empty round trips of the elevator due to special needs of residents (such as a short stay for pet owners and athletes after returning home), improving the use efficiency of the elevator, and reducing the number of empty round trips of the elevator also means reducing the ineffective energy consumption of the elevator operation and reducing the wear frequency of various elevator components, thereby effectively reducing operating costs and extending the service life of the elevator; by reasonably controlling the elevator dwell time, the waiting time for residents to call the elevator again is reduced, avoiding unnecessary time waste, providing residents with more convenient and efficient elevator services, and improving residents' satisfaction and user experience.

[0073] Specifically, in step S1, the access control registration information includes the registered facial information and household number of the resident.

[0074] Specifically, in step S3, the process of matching the access control registration information of each one-way running path includes:

[0075] Step S311, obtaining the corresponding elevator monitoring video based on the time of a single one-way running path;

[0076] Step S312: Extract passengers based on the elevator monitoring video associated with each one-way running path; it should be understood that the elevator may carry more than one person each time it runs, so it is necessary to match the passengers one by one.

[0077] In step S313, the facial information of the elevator passenger is matched with the registered facial information for similarity to bind the one-way running path with the access control registration information; it can be understood that, based on the result of successful similarity matching, the single running path is bound to the corresponding registered facial information (the registered facial information that successfully matches the facial information of the elevator passenger); in implementation, the method, process and matching results of target object recognition and matching are already mature in the existing technology, so they will not be repeated here.

[0078] Specifically, the step S3 further includes:

[0079] Step S32, aggregate all one-way running paths with the same access control registration information to construct an elevator riding information set of each access control registration information within a preset period; it should be understood that a single running path includes a specific running time (from a certain month and date to a certain month and date and hour and minute) and a specific running path (from a certain floor to a certain floor); it should be understood that the elevator riding information set of each access control registration information set is composed of several single-day elevator riding information subsets.

[0080] Specifically, in step S4, the process of extracting the corresponding single-day characteristic time period according to the single-day elevator riding information subset of each access control registration information includes:

[0081] Step S41, obtaining a subset of single-day elevator ride information of a single access control registration information to determine a single-day elevator ride time sequence; in implementation, sorting the subsets by time from smallest to largest;

[0082] Step S42, determining a characteristic period according to the time interval between two adjacent elevator riding time series, wherein:

[0083] If the time interval is less than or equal to the standard time length, the time interval is determined to be a single-day characteristic period of the day;

[0084] If the time interval is greater than the standard time length, it is determined that the time interval is not a single-day characteristic period of the day;

[0085] It is understandable that the time interval is usually within 10 minutes. Only when the time interval is small can the continuity of travel be reflected. If the time interval is too large, it means that the residents' travel is discontinuous and there is no need to let the elevator wait in vain. You can go to the first floor and wait for calls from other residents. In implementation, the standard time length is usually set to 8 minutes.

[0086] In implementation, two adjacent elevator time series satisfy the requirement that the first elevator path is from the first floor to the floor where the access control registration information is located, and the second elevator path is from the floor where the access control registration information is located to the first floor; for example, if resident a is located on the 8th floor: if the second elevator time series from the 1st floor to the 8th floor corresponds to the 8th floor to the 1st floor, then these two elevator time series are recorded as two adjacent elevator time series; if the second elevator time series from the 1st floor to the 8th floor corresponds to the 1st floor to the 8th floor, then these two elevator time series are not two adjacent elevator time series.

[0087] See also Figure 2 , which is a flow chart of determining key time periods of different date attributes according to an embodiment of the present invention. Specifically, in step S5, the process of determining key time periods of different date attributes based on the daily characteristic time periods and daily date attributes of each access control registration information includes:

[0088] Step S51, obtaining a date set with a characteristic time period, and dividing it into a working day date set and a rest day date set;

[0089] Step S52: Based on the date attributes of each date set and in combination with the midpoint time of each characteristic time period, the characteristic time period is classified by hour to form a characteristic time period set. It is understood that there may be one or more characteristic time period sets, and the characteristic time period sets are formed by clustering according to the existing clustering algorithm, and the time difference between the midpoint times of all characteristic time periods in each clustered characteristic time period set is less than one hour.

[0090] Step S53: Determine whether to determine a key period based on the characteristic period set according to the distribution density and time fluctuation parameter of each characteristic period set, wherein:

[0091] If the distribution density is greater than or equal to the preset distribution density and the time fluctuation parameter is less than or equal to the preset fluctuation parameter, it means that the characteristic time period set can represent the regular travel of the corresponding access control registration information (resident), and the key time period is determined according to the corresponding characteristic time period set;

[0092] If the distribution density is less than the preset distribution density, and / or the time fluctuation parameter is greater than the preset fluctuation parameter, it means that the characteristic time period set cannot represent the regular travel of the corresponding access control registration information (resident), and the key time period is not determined;

[0093] It can be understood that the preset distribution density is usually 0.5, and the preset fluctuation parameter is usually less than 0.2 (preferably 0.1).

[0094] In practice, both step S52 and step S53 need to determine the characteristic time period set and the key time period of the working day date set and the rest day date set respectively, so as to determine the key time periods of different date attributes.

[0095] It is understandable that residents' travel habits on weekdays and weekends are necessarily different, so the elevator riding information on weekdays and weekends cannot be analyzed together, but need to be analyzed separately;

[0096] It can be understood that the distribution density is used to measure the degree of concentration of the time distribution of the characteristic time period set within the corresponding date attribute (such as weekdays or weekends), reflecting the high-frequency clustering of residents' travel time on such dates: a large distribution density (≥ preset distribution density) indicates that the characteristic time period of residents under the date attribute appears frequently, the time distribution is concentrated, and the travel habits have strong regularity; a small distribution density (< preset distribution density) indicates that the distribution of the characteristic time period set within the date attribute is relatively scattered, the regularity of residents' travel time is weak, and there may be random or variable travel patterns;

[0097] It can be understood that the time fluctuation parameter is used to measure the fluctuation amplitude of the midpoint time of each period in the characteristic time period set, reflecting the stability of residents' travel time on similar dates: a small time fluctuation parameter (≤ preset fluctuation parameter) indicates that the midpoint time of the characteristic period fluctuates within a smaller range, and the residents' travel time is relatively fixed and obvious; a large time fluctuation parameter (>preset fluctuation parameter) indicates that the midpoint time of the characteristic period is highly dispersed and has a large fluctuation range, and the residents' travel time is not fixed and has poor regularity.

[0098] Specifically, in step S53, the process of determining the distribution density of the characteristic time period set includes:

[0099] Step A1, determining the number of characteristic time periods of a single characteristic time period set and the date attribute of the characteristic time period set;

[0100] Step A2, determining the number of days with the same attribute as the date attribute of the characteristic time period set within a preset period;

[0101] Step A3, determining the distribution density based on the ratio of the number of characteristic time periods to the corresponding number of days with the same attribute;

[0102] It is understandable that the greater the distribution density, the more days the residents travel regularly, which better represents the travel habits of the residents.

[0103] Specifically, in step S53, the process of determining the time fluctuation parameter of the characteristic time period set includes:

[0104] Step B1, calculating the average deviation and average value of each midpoint time of a single feature time period set; it is understandable that the calculation methods of the average deviation and average value are all existing technologies, so they will not be described in detail;

[0105] Step B2, determining a time fluctuation parameter based on the ratio of the average deviation to the average value;

[0106] It can be understood that the time fluctuation parameter represents the fluctuation of the household characteristic time period. The smaller the time fluctuation parameter is, the more stable the household characteristic time period is.

[0107] It can be understood that the average deviation is used to measure the average deviation of the midpoint time in the characteristic time period from the average value, that is, the fluctuation of the actual travel time of residents around the "average travel time". The time fluctuation parameter eliminates the influence of the time scale by "normalizing (dividing by the average value)" the average deviation, and is used to measure the relative amplitude of the time fluctuation in the characteristic time period, that is, "the proportion of the fluctuation degree relative to the typical travel time".

[0108] Specifically, in step S53, the step of determining the key time period according to the corresponding characteristic time period set includes:

[0109] Step S531, determining the start time, end time and characteristic duration of each characteristic time period in the characteristic time period set;

[0110] Step S532, setting the start time and end time of the key period according to the earliest start time and the latest end time;

[0111] It can be understood that the duration of the key period is usually determined according to its time fluctuation parameter. If the time fluctuation parameter is small (less than 0.08), the start time and start time of the key period are the earliest start time and the latest end time respectively, and the duration of the key period is the difference between the latest end time and the earliest start time (recorded as the key duration); if the time fluctuation parameter is large (0.08~0.1), the duration of the key period = key duration × time fluctuation parameter ÷ 0.08, that is, the start time of the key period is the earliest start time extended forward by 0.5 times the duration of the key period, and the end time of the key period is the latest end time extended backward by 0.5 times the duration of the key period.

[0112] It can be understood that by dynamically adjusting the scope of key time periods in combination with the time fluctuation parameters of the characteristic time period set, it is possible to ensure accurate coverage of residents' regular travel periods and achieve intelligent adaptation to time fluctuations; by taking the earliest start time and the latest end time as the benchmark, when the time fluctuation is small, the original time period boundaries are strictly followed to ensure accurate capture of high-frequency stable behaviors; and when the fluctuation is large, the key time periods are scientifically expanded according to the fluctuation parameters, and flexible space is reserved in a forward-looking manner to effectively deal with the dispersion of residents' travel time and avoid elevator scheduling errors caused by slight time differences; this adaptive key time period determination mechanism not only improves the targeted response of elevators, but also enhances the system's inclusiveness of complex travel patterns, significantly improving the balance between elevator operating efficiency and user experience.

[0113] See also Figure 3 As shown, it is a flow chart of determining the elevator dwell time according to an embodiment of the present invention. Specifically, in step S6, in response to the identification of each access control registration information, the process of determining the elevator dwell time according to the relationship between the access control response time and the corresponding key time period includes:

[0114] Step S61, determining the key time period of each access control registration information under the date attribute according to the date attribute;

[0115] Step S62, in response to the external opening of the door control, automatically identifying the face information of the person opening the door and matching the corresponding door control registration information and the corresponding key time period of the day;

[0116] Step S63 compares the access control response time (the time it takes for the access control to be opened externally plus the time it takes for the elevator to travel from the first floor to the floor where the access control registration information is located. For example, if the access control is opened externally at 11:00 and the time it takes for the elevator to travel from the first floor to the floor where the access control registration information is located is 1 minute, then the corresponding access control response time is 11:01) with the key time periods of the day and determines the elevator dwelling time at the floor where the access control registration information is located based on the comparison result, where:

[0117] If the access control response time is within the key period, the elevator is controlled to stay at the floor where the access control registration information is located for a special duration. In practice, the special duration is equal to the sum of the average and standard deviation of each characteristic duration determined in step S531. It should be understood that if another user calls the elevator, the call signal has a higher priority, and the elevator automatically exits the current stop waiting time.

[0118] If the access control response time is not within the key period, the elevator will be controlled to stay at the floor where the access control registration information is located for the default stay time. It is understandable that each elevator has its own set default stay time.

[0119] The floor where the access control registration information is located is determined according to the corresponding household number, and the special duration is determined according to the characteristic duration of each access control registration information.

[0120] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0121] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. An access control method based on access registration, characterized in that: include: Step S1, retrieve pre-stored access control registration information and historical elevator operation records within a preset period, wherein the historical elevator operation records include historical operation paths and car monitoring videos; Step S2, dividing the elevator historical operation record into a one-way operation path set; Step S3, based on the one-way running path set, matching the access control registration information of each one-way running path to generate an elevator information set of each access control registration information, wherein the elevator information set includes the elevator time and the elevator path; Step S4, extracting the corresponding single-day characteristic time period based on the single-day elevator riding information subset of each access control registration information; Step S5, determining key time periods with different date attributes based on the daily characteristic time periods and daily date attributes of each access control registration information, wherein the date attributes include working days and weekends; Step S6, in response to the real-time date attribute, determines the elevator operation control strategy for the day according to the key time period of each access control registration information, including: In response to the identification of each access control registration information, the elevator dwell time is determined according to the relationship between the access control response time and the corresponding key time period, specifically including: Step S61, determining the key time period of each access control registration information under the date attribute according to the date attribute; Step S62, in response to the external opening of the door control, automatically identifying the face information of the person opening the door and matching the corresponding door control registration information and the corresponding key time period of the day; Step S63: Compare the access control response time with the key time period of the day and determine the elevator dwell time based on the comparison result, where: If the access control response time is within the key period, the elevator will be controlled to stay at the floor where the access control registration information is located for a special period of time; If the access control response time is not within the key period, the elevator will be controlled to stay at the floor where the access control registration information is located for the default stay time; The floor where the access control registration information is located is determined according to the corresponding household number, and the special duration is determined according to the characteristic duration of each access control registration information.

2. The access control method based on access registration according to claim 1, characterized in that: In step S1, the access control registration information includes the registered facial information and household number of the resident.

3. The access control method based on access registration according to claim 1, characterized in that: In step S3, the process of matching the access control registration information of each one-way running path includes: Step S311, obtaining the corresponding elevator monitoring video based on the time of a single one-way running path; Step S312, extracting passengers based on the elevator monitoring videos associated with each unidirectional running path; Step S313: perform similarity matching between the facial information of the person taking the elevator and the registered facial information to bind the one-way running path and the access control registration information.

4. The access control method based on access registration according to claim 3, characterized in that: The step S3 further comprises: Step S32: Aggregate all one-way running paths with the same access control registration information to construct an elevator riding information set of each access control registration information within a preset period.

5. The access control method based on access registration according to claim 1, characterized in that: In step S4, the process of extracting the corresponding single-day characteristic time period based on the single-day elevator riding information subset of each access control registration information includes: Step S41, obtaining a single-day elevator ride information subset of a single access control registration information to determine a single-day elevator ride time sequence; Step S42, determining a characteristic period according to the time interval between two adjacent elevator riding time series, wherein: If the time interval is less than or equal to the standard time length, the time interval is determined to be a single-day characteristic period of the day; If the time interval is greater than the standard time length, it is determined that the time interval is not a single-day characteristic time period of the day.

6. The access control method based on access registration according to claim 1, characterized in that: In step S5, the process of determining the key time periods of different date attributes based on the daily characteristic time periods and daily date attributes of each access control registration information includes: Step S51, obtaining a date set with a characteristic time period, and dividing it into a working day date set and a rest day date set; Step S52: Based on the date attributes of each date set and in combination with the midpoint time of each characteristic time period, the characteristic time period is classified into hourly groups to form a characteristic time period set; Step S53: Determine whether to determine a key period based on the characteristic period set according to the distribution density and time fluctuation parameter of the characteristic period set, wherein: If the distribution density is greater than or equal to the preset distribution density and the time fluctuation parameter is less than or equal to the preset fluctuation parameter, the key time period is determined according to the corresponding characteristic time period set.

7. The access control method based on access registration according to claim 6, characterized in that: In step S53, the process of determining the distribution density of the characteristic time period set includes: Step A1, determining the number of characteristic time periods of a single characteristic time period set and the date attribute of the characteristic time period set; Step A2, determining the number of days with the same attribute as the date attribute of the characteristic time period set within a preset period; Step A3: determining the distribution density according to the ratio of the number of the characteristic time periods to the corresponding number of days with the same attribute.

8. The access control method based on access registration according to claim 6, characterized in that: In step S53, the process of determining the time fluctuation parameter of the characteristic time period set includes: Step B1, calculating the average deviation and average value of each midpoint time of a single feature time period set; Step B2: determining a time fluctuation parameter according to the ratio of the average deviation to the average value.

9. The access control method based on access registration according to claim 1, characterized in that: In step S53, the step of determining the key time period according to the corresponding characteristic time period set includes: Step S531, determining the start time, end time and characteristic duration of each characteristic time period in the characteristic time period set; Step S532: setting the start time and the end time of the key period according to the earliest start time and the latest end time.

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