Intelligent security alarm method and device based on Internet of Things, and electronic equipment

Abstract

The invention relates to the technical field of monitoring of the Internet of Things, in particular to an intelligent security alarm method and device based on the Internet of Things and electronic equipment, and the method comprises the steps: monitoring a target family based on equipment of the Internet of Things, obtaining basic members of the target family, obtaining image information of the basic members in the monitoring equipment, and carrying out the analysis, determining a transverse distance value, a longitudinal distance value and a capability value of a basic member, identifying and analyzing initial coordinates of entering and exiting members in a monitoring picture and position coordinates of a terminal position, determining entering and exiting actions, determining real-time retained members of a target family according to the entering and exiting actions, and when dangerous behaviors in the target family are identified, determining the target family according to the real-time retained members. Generating a corresponding alarm signal according to the capability value of the member retained in real time; according to the invention, the members in the target family can be tracked in real time, a critical decision can be made according to the members retained in real time when a danger occurs, and the efficiency and rationality of dealing with the danger are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the Internet of Things monitoring technical field, and particularly relates to an intelligent security alarm method, device and electronic equipment based on the Internet of Things. BACKGROUND

[0002] The intelligent security alarm system is a brain of a home security system, which is composed of various sensors, function keys, detectors and actuators in the home. The alarm function includes fire prevention, theft prevention, gas leakage alarm and emergency help functions.

[0003] The prior art CN106205023A discloses a system and method for realizing home security based on a wireless sensor network, which comprises an infrared security device arranged on a wall in a room, a video monitoring device, a voice device, a touch display screen and a physiological parameter measuring instrument. The system further comprises a smart router, a smoke alarm, a temperature sensor and a humidity sensor arranged in the room. The smart router communicates with the infrared security device, the video monitoring device, the voice device, the touch display screen, the physiological parameter measuring instrument, the smoke alarm, the temperature sensor and the humidity sensor, and communicates with a control center.

[0004] However, when the home security alarm is implemented, only the dangerous information is used to automatically generate an alarm reminder in the room. When there is no one in the home or only children or the elderly are left in the home, the dangerous information cannot be processed in time. In this case, if the dangerous information in the room is found by external personnel and processed, rescue will be delayed, and in severe cases, the home or the surrounding environment will be seriously damaged. SUMMARY

[0005] The present application is proposed to solve the problems in the background art, and discloses an intelligent security alarm method, device and electronic equipment based on the Internet of Things.

[0006] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0007] The intelligent security alarm method based on the Internet of Things comprises:

[0008] Step one: monitoring a target home based on an Internet of Things device, obtaining basic members of the target home, obtaining image information of the basic members in the monitoring device, identifying horizontal edge points, top coordinates and bottom coordinates in the image information, determining horizontal distance values and vertical distance values, and then determining ability values of the basic members based on the horizontal distance values and the vertical distance values;

[0009] Step two: determining the identity information of the in-out member based on the monitoring picture, wherein the identity information includes the basic member and the temporary member, when the in-out member is the temporary member, the ability value of the temporary member is determined according to the processing method in step one, then the initial coordinate of the in-out member in the monitoring picture and the position coordinate of the terminal position are identified, the starting distance and the end distance of the in-out member are calculated, the starting distance and the end distance are compared with the distance threshold value respectively, the in-out action is determined, and the real-time staying member of the target family is determined according to the in-out action;

[0010] Step three: identifying the dangerous behavior of the target family, when the dangerous behavior in the target family is identified, the corresponding alarm signal is generated based on the real-time staying member of the target family and the ability value of the real-time staying member, the alarm signal includes the gentle alarm signal and the emergency alarm signal.

[0011] As a further scheme of the present application, the determination method of the lateral distance value and the longitudinal distance value comprises:

[0012] S11: obtaining the installation information of the monitoring device, the installation information indicating the installation position of the monitoring device;

[0013] Then the overall monitoring picture of the monitoring device is obtained, and the coordinate origin is set in the overall monitoring picture, and the space coordinate system is established based on the coordinate origin;

[0014] S12: selecting the image information of each basic member in the monitoring device, selecting an arbitrary basic member, obtaining the image information of the basic member, and marking it as a target analysis image;

[0015] According to the position coordinate of the basic member standing in the target analysis image, the top coordinate and the bottom coordinate are identified respectively, and are marked as Dt(X1, Y1, Z1) and Dz(X2, Y2, Z2), wherein Dt is the top coordinate, and Dz is the bottom coordinate;

[0016] Wherein, when the image information of the basic member is selected, the body part of the corresponding basic member needs to be completely exposed in the image information, and the image clarity needs to be greater than or equal to a threshold value A1;

[0017] S13: simultaneously identifying the coordinate positions Dr and Dl of the lateral edge points of the basic member in the target analysis image, and then calculating the distance value between Dr and Dl by using the distance formula, and marking the calculation result as the lateral distance value Dh;

[0018] Wherein, Dr is the right edge point in the lateral edge points, Dl is the left edge point in the lateral edge points, and the right edge point and the left edge point are in the same horizontal plane in the lateral edge points.

[0019] As a further scheme of the present application, the method for determining the capability value of the basic member comprises:

[0020] The longitudinal distance value Ds and the transverse distance value Dh in the target analysis image are obtained, and the stage feature of the basic member in the target analysis image is identified, and then the capability value RZ of the basic member in the target analysis image is obtained based on the formula wherein θ is a feature empowerment factor, and θ includes θ1 and θ2, if the stage feature of the basic member is an old person, the feature empowerment factor θ is θ1 when the capability value of the basic member is calculated, and if the stage feature of the basic member is a non-old person, the feature empowerment factor θ is θ2 when the capability value of the basic member is calculated;

[0021] Further, when the basic member in the target analysis image is a pet, the capability value of the pet is directly assigned as RZc.

[0022] As a further scheme of the present application, the method for determining the identity information of the in-out member comprises:

[0023] When the in-out member is identified, the face recognition is preferentially selected, and whether the in-out member is a basic staff is determined by the face recognition, if the in-out member is a basic staff of the target family, the transverse distance value and the longitudinal distance value of the basic member are directly called, if the in-out member is not a basic member of the target family, the corresponding in-out member is marked as a temporary member, and the transverse distance value, the longitudinal distance value and the capability value of the temporary member are determined according to the method in the above step one.

[0024] As a further scheme of the present application, the method for determining the in-out action comprises:

[0025] First, a reference point is selected in the whole monitoring image, and the position coordinates of the reference point in the space coordinate system are identified;

[0026] When the in-out member appears in the monitoring screen of the monitoring device, the corresponding in-out member is marked as a target staff, the position coordinates of the current target staff in the space coordinate system are identified and marked as initial coordinates, the distance between the initial coordinates and the position coordinates of the reference point is calculated by using the distance formula, and the initial distance Dq is marked;

[0027] Then, the behavior of the target staff is tracked, when the tracked target staff disappears, the last position of the target staff before disappearing is identified and marked as a terminal position, the position coordinates of the terminal position in the space coordinate system are identified, and the distance between the terminal position and the reference point is calculated again by using the distance formula, and the distance calculation result is marked as the terminal distance Dw;

[0028] The starting distance Dq and the ending distance Dw are compared with the distance threshold Dy respectively, and the entering and exiting action of the target person is determined based on the comparison result, wherein if Dq≤Dy and Dw≤Dy, the entering and exiting action of the target person is marked as a non-discriminatory entering action, if Dq>Dy and Dw≤Dy, the entering and exiting action of the target person is marked as a real-time entering action, if Dq≤Dy and Dw>Dy, the entering and exiting action of the target person is marked as a real-time exiting action, and if Dq>Dy and Dw>Dy, the entering and exiting action of the target person is marked as a non-discriminatory leaving action.

[0029] As a further scheme of the present application, the method for determining the real-time stay member of the target family comprises:

[0030] According to the entering and exiting action of the target person, the real-time stay member of the target family is edited, and the editing includes recording and deleting:

[0031] If the target person is a real-time entering action, the identity information of the target person is obtained and recorded in the real-time stay member of the target family according to the identity information, if the target person is a real-time exiting action, the identity information of the target person is obtained and deleted in the real-time stay member of the target family according to the identity information, and if the target person is a non-discriminatory entering action or a non-discriminatory leaving action, the real-time stay member of the target family is not edited;

[0032] Further, when the identity information of the target person is identified, if the face information of the target person is not detected, the horizontal distance value and the vertical distance value are used to judge the identity information of the target person.

[0033] As a further scheme of the present application, the method for generating an alarm signal comprises:

[0034] When a dangerous behavior is detected, the real-time stay member of the target family is obtained, and the ability value RZ of the real-time stay member is identified;

[0035] If the ability value RZ of the real-time stay member is greater than or equal to the basic ability threshold Ry, a mild alarm signal is generated, otherwise, if the ability value RZ of all real-time stay members is less than the ability threshold Ry, an emergency alarm signal is generated;

[0036] The danger information includes illegal intrusion, abnormal gas leakage and smoke alarm abnormality; the mild alarm signal refers to alarming sound reminding in the target family, and the corresponding danger behavior is transmitted to the terminal device through the intelligent security system, the danger information is viewed by the basic member through the terminal device, and the danger information is confirmed and processed, and the emergency alarm signal refers to alarming sound reminding in the target family, and an emergency rescue phone is identified, and the danger information is informed through the intelligent voice after the emergency rescue phone is dialed, the corresponding danger behavior is transmitted to the terminal device through the intelligent security system, the danger information is viewed by the basic member through the terminal device, and further, the emergency rescue phone includes a property security phone and an alarm phone.

[0037] The intelligent security alarm device based on the Internet of Things comprises:

[0038] An information identification module is used for identifying image information of basic members and temporary members of a target family and calculating ability values of the basic members and the temporary members, and then the information identification module and the action analysis module are in one-way communication transmission;

[0039] An action analysis module is used for analyzing and judging the entering and exiting actions of target personnel in a monitoring picture, determining real-time staying members of the target family, and then the action analysis module and the intelligent alarm module are in one-way communication connection;

[0040] A danger monitoring module is used for identifying danger information of the target family and transmitting the danger information to the intelligent alarm module;

[0041] An intelligent alarm module is used for generating corresponding alarm signals according to the ability values of the real-time staying members.

[0042] An electronic device comprises a processor and a memory; wherein the memory stores computer executable instructions capable of being executed by the processor, and the processor executes the computer executable instructions, including the intelligent security alarm method.

[0043] A computer readable storage medium stores a computer program, and the computer readable storage medium stores computer executable instructions, and when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to realize the intelligent security alarm method.

[0044] Compared with the prior art, the advantages of the present application are that:

[0045] The application can track the members in the target family in real time, and make key decisions according to the real-time members when danger occurs.

[0046] When the monitoring device finds dangerous behavior, the real-time members of the target family and the ability value of the real-time members are obtained, and the mild alarm signal and the emergency alarm signal are generated according to the ability value, so as to realize the hierarchical processing of the alarm, and the mild danger scene which can be handled by the ability of the members can issue a mild reminder, so as to avoid unnecessary panic; and the emergency alarm signal is issued to face the dangerous situation which is urgent and difficult for the members to cope with, so as to promote the external force to intervene quickly, so that the alarm mechanism is more suitable for the actual situation, and the efficiency and rationality of coping with danger are improved.

[0047] The application also relies on the Internet of Things device to complete various operations, fully utilizes the technical advantages of the Internet of Things, realizes automatic data collection and analysis, reduces the tediousness of manual intervention and possible errors, and improves the intelligent level and accuracy of the whole process. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 It is a flow structure schematic diagram of the application;

[0049] Figure 2 It is a system structure schematic diagram of the application. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments.

[0051] Embodiment one, referring to Figure 1 The intelligent security alarm method based on the Internet of Things specifically includes the following steps:

[0052] Step one: identify the member information of the basic members of the target family:

[0053] The target family refers to a family monitored by the Internet of Things device for access control, and the Internet of Things device in this embodiment refers to an intelligent monitoring system, which is also referred to as a monitoring device. The basic members refer to the permanent residents of the target family. Further, if there are pets such as cats and dogs in the target family, the basic members also include the pets.

[0054] Obtain image information of the basic members, and determine cognitive ability of each basic member based on the image information, wherein the method for determining the cognitive ability of the basic members comprises:

[0055] S11: Obtain installation information of the monitoring device, wherein the installation information comprises an installation position of the monitoring device;

[0056] Then obtain an overall monitoring picture of the monitoring device, set a coordinate origin in the overall monitoring picture, and establish a spatial coordinate system based on the coordinate origin;

[0057] S12: Select image information of each basic member in the monitoring device respectively, select a basic member at random, obtain image information of the basic member, and mark the image information as a target analysis image;

[0058] It should be further explained that when the image information of the basic member is selected, the body part of the corresponding basic member needs to be completely exposed in the image information, and the image clarity needs to be greater than or equal to a threshold A1, wherein the specific value of the threshold A1 is obtained by a person skilled in the art through big data operation;

[0059] According to the position coordinates of the basic member standing in the target analysis image, top coordinates and bottom coordinates are identified respectively and marked as Dt(X1, Y1, Z1) and Dz(X2, Y2, Z2), wherein Dt is the top coordinates and Dz is the bottom coordinates;

[0060] According to the top coordinates Dt(X1, Y1, Z1) and the bottom coordinates Dz(X2, Y2, Z2), the longitudinal distance value Ds is obtained by using the distance formula;

[0061] Further, the top coordinates are the position coordinates corresponding to the head of the basic member, the bottom coordinates are the position coordinates corresponding to the feet of the basic member, and the distance between the top coordinates and the feet coordinates is the height of the corresponding basic member;

[0062] S13: Identify the coordinate positions Dr and Dl of the horizontal edge points of the basic member in the target analysis image at the same time, calculate the distance value between Dr and Dl by using the distance formula, and mark the calculation result as the horizontal distance value Dh;

[0063] Wherein Dr is the right edge point in the horizontal edge points, Dl is the left edge point in the horizontal edge points, and the right edge point and the left edge point in the horizontal edge points are in the same horizontal plane;

[0064] S14: Obtain the longitudinal distance value Ds and the horizontal distance value Dh in the target analysis image, and identify the stage characteristics of the basic member in the target analysis image at the same time, and then based on the formula obtaining the capability value Rz of the basic member in the target analysis image, wherein θ is a characteristic empowerment factor, and θ includes θ1 and θ2, if the stage characteristic of the basic member is an old person, the characteristic empowerment factor θ takes the value θ1 when calculating the capability value of the basic member, if the stage characteristic of the basic member is a non-old person, the characteristic empowerment factor θ takes the value θ2 when calculating the capability value of the basic member, a1, a2 and a3 correspond to the longitudinal weight coefficient, the horizontal weight coefficient and the proportional weight coefficient respectively;

[0065] Further, the specific values of θ1, θ2, a1, a2 and a3 are obtained by a person skilled in the art through big data operation;

[0066] It needs to be further explained that when the basic member in the target analysis image is a pet, the capability value of the pet is directly assigned as Rzc, wherein the specific value of Rzc is obtained by a person skilled in the art through big data operation;

[0067] Step two: record the in-out members in the target family, and determine the real-time staying members of the target family, wherein the real-time staying member refers to the member who is in the house at real time, i.e. the in-house member, specifically, the determination method of the real-time staying member includes:

[0068] SS1: identify the in-out members through the monitoring picture, and determine the identity information of the in-out members, wherein the identity information includes the basic member and the temporary member:

[0069] When identifying the in-out members, face recognition is preferred, and whether the in-out member is a basic member is determined through face recognition, if the in-out member is a basic member of the target family, the horizontal distance value and the longitudinal distance value of the basic member are directly called, if the in-out member is not a basic member of the target family, the corresponding in-out member is marked as a temporary member, and the horizontal distance value, the longitudinal distance value and the capability value of the temporary member are determined according to the method in step one above;

[0070] It needs to be further explained that the face recognition in the embodiment is only used for identity confirmation of the basic member or the temporary member, and cannot be used for authorization of the in-out right of the target family, i.e. face recognition is not used for unlocking;

[0071] SS2: identify the in-out action:

[0072] First, select a reference point in the whole monitoring image, and identify the position coordinates of the reference point in the spatial coordinate system, wherein the reference point in the embodiment is set as the coordinate position of the monitoring device, and the monitoring device is installed on the plane where the door position of the target family is located;

[0073] When the in-out member appears in the monitoring picture of the monitoring device, the corresponding in-out member is marked as the target person, the position coordinate of the current target person in the space coordinate system is identified and marked as the initial coordinate, the distance between the initial coordinate and the position coordinate of the reference reference point is calculated by using the distance formula, and is marked as the initial distance Dq;

[0074] After that, the behavior tracking of the target person is performed, when the tracked target person disappears, the last position before the target person disappears is identified and marked as the terminal position, the position coordinate of the terminal position in the space coordinate system is identified, and the distance between the terminal position and the reference reference point is calculated again by using the distance formula, and the distance calculation result is marked as the terminal distance Dw;

[0075] The initial distance Dq and the terminal distance Dw are compared with the distance threshold Dy respectively, and the in-out action of the target person is determined based on the comparison result, wherein if Dq≤Dy and Dw≤Dy, the in-out action of the target person is marked as the non-discriminatory in-door action, if Dq>Dy and Dw≤Dy, the in-out action of the target person is marked as the real-time in-door action, if Dq≤Dy and Dw>Dy, the in-out action of the target person is marked as the real-time out-door action, and if Dq>Dy and Dw>Dy, the in-out action of the target person is marked as the non-discriminatory out-door action;

[0076] The specific value of the distance threshold Dy is set by the person skilled in the art through big data experience, and the distance threshold Dy in the embodiment is set as the distance between the coordinate position of the monitoring device and the ground position after the door is closed;

[0077] SS3: According to the in-out action of the target person, the real-time staying member of the target family is edited, wherein the editing includes recording and deleting, including:

[0078] If the target person is a real-time in-door action, the identity information of the target person is obtained, and the corresponding record in the real-time staying member of the target family according to the identity information is recorded, if the target person is a real-time out-door action, the identity information of the target person is obtained, and the corresponding deletion in the real-time staying member of the target family according to the identity information is deleted, if the target person is a non-discriminatory in-door action or a non-discriminatory out-door action, the real-time staying member of the target family is not edited;

[0079] It should be further explained that when the identity information of the target person is identified, if the face information of the target person is not detected, the horizontal distance value and the vertical distance value are used to judge the identity information of the target person;

[0080] Step three: identifying dangerous behaviors in the target family, when identifying dangerous behaviors in the target family, generating corresponding alarm signals based on the real-time stay members of the target family, the alarm signals including gentle alarm signals and emergency alarm signals;

[0081] Wherein, the dangerous information includes illegal intrusion, abnormal gas leakage and smoke alarm abnormality;

[0082] When detecting dangerous behaviors, the real-time stay members of the target family are obtained, and the ability value RZ of the real-time stay members is identified;

[0083] When the ability value RZ of the real-time stay members is greater than or equal to the basic ability threshold Ry, the gentle alarm signal is generated, otherwise, if the ability value RZ of all real-time stay members is less than the ability threshold Ry, the emergency alarm signal is generated;

[0084] Wherein, the specific value of the basic ability threshold Ry is obtained by the technical personnel in the art through big data operation;

[0085] Further, the gentle alarm signal means that only the alarm sound reminder is performed in the target family, and the corresponding dangerous behavior is transmitted to the terminal device through the intelligent security system, the dangerous information is viewed by the basic members through the terminal device, and the dangerous information is confirmed and processed, the emergency alarm signal means that the alarm sound reminder is performed in the target family, the emergency rescue phone is identified, and the dangerous information is informed through the intelligent voice after the emergency rescue phone is dialed, and the corresponding dangerous behavior is transmitted to the terminal device through the intelligent security system, the dangerous information is viewed by the basic members through the terminal device.

[0086] Embodiment two, refer to Figure 2 , the intelligent security alarm device based on the Internet of Things, including information identification module, action analysis module, danger monitoring module and intelligent alarm module;

[0087] Wherein, the information identification module is used for identifying the image information of the basic members and temporary members of the target family, and calculating the ability value of the basic members and temporary members, and then the information identification module and the action analysis module are communicated in one direction;

[0088] The action analysis module is used for analyzing and judging the entry and exit actions of the target personnel in the monitoring picture, determining the real-time stay members of the target family, and then the action analysis module and the intelligent alarm module are connected in one direction;

[0089] The danger monitoring module is used for identifying the dangerous information of the target family, and transmitting the dangerous information to the intelligent alarm module;

[0090] The intelligent alarm module is used for generating corresponding alarm signals according to real-time retention member ability values.

[0091] Embodiment three, an electronic device for running the above-mentioned embodiment of the Internet of Things-based intelligent security alarm method, the electronic device comprising a memory and a processor;

[0092] The memory is used for storing one or more computer instructions, and the one or more computer instructions are executed by the processor to realize the above-mentioned Internet of Things-based intelligent security alarm method.

[0093] Embodiment four, in order to realize the above-mentioned embodiment, the embodiment provides a readable storage medium having computer instructions stored therein, wherein the computer instructions are used for enabling the computer to execute the method of the foregoing method embodiment.

[0094] The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art, according to the technical solution and the inventive concept of the present application, makes equivalent replacement or change within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A smart security alarm method based on Internet of Things, characterized in that, The method specifically comprises the following steps: Step one: based on the Internet of Things equipment, the target family is monitored, the basic members of the target family are obtained, the image information of the basic members in the monitoring equipment is obtained, the horizontal edge points, top coordinates and bottom coordinates in the image information are identified, the horizontal distance value and the vertical distance value are determined, and then the ability value of the basic members is determined based on the horizontal distance value and the vertical distance value; Step two: the identity information of the in-out member is determined based on the monitoring picture, wherein the identity information includes the basic members and the temporary members, when the in-out member is a temporary member, the ability value of the temporary member is determined according to the processing method in step one, and then the initial coordinates of the in-out member in the monitoring picture and the position coordinates of the terminal position are identified, the starting distance and the end distance of the in-out member are calculated, the starting distance and the end distance are compared with the distance threshold value respectively, the in-out action is determined, and the real-time staying member of the target family is determined according to the in-out action; Step three: the dangerous behavior of the target family is identified, when the dangerous behavior in the target family is identified, the real-time staying member of the target family and the ability value of the real-time staying member are used to generate a corresponding alarm signal, and the alarm signal includes a gentle alarm signal and an emergency alarm signal. 2.The smart security alarm method based on Internet of Things according to claim 1, characterized in that, The determination method of the horizontal distance value and the vertical distance value comprises: S11: obtain the installation information of the monitoring equipment, the installation information indicates the installation position of the monitoring equipment; Then the overall monitoring picture of the monitoring equipment is obtained, the coordinate origin is set in the overall monitoring picture, and the space coordinate system is established based on the coordinate origin; S12: the image information of each basic member in the monitoring equipment is selected respectively, an arbitrary basic member is selected, the image information of the basic member is obtained, and the image information is marked as a target analysis image; According to the position coordinates of the basic member standing in the target analysis image, the top coordinates and the bottom coordinates are identified respectively, and are marked as Dt(X1, Y1, Z1) and Dz(X2, Y2, Z2), wherein Dt is the top coordinates, and Dz is the bottom coordinates; When the image information of the basic member is selected, the body part of the corresponding basic member needs to be completely exposed in the image information, and the image clarity needs to be greater than or equal to a threshold A1; S13: the coordinate positions Dr and Dl of the horizontal edge points of the basic member in the target analysis image are identified, the distance value between Dr and Dl is calculated by using the distance formula, and the calculation result is marked as the horizontal distance value Dh; Wherein Dr is the right edge point in the horizontal edge point, Dl is the left edge point in the horizontal edge point, and the right edge point and the left edge point are in the same horizontal plane in the horizontal edge point. 3.The smart security alarm method based on Internet of Things according to claim 2, characterized in that, The determination method of the ability value of the basic member comprises: The longitudinal distance value Ds and the transverse distance value Dh in the target analysis image are obtained, and the stage characteristics of the basic members in the target analysis image are identified, and then the ability value Rz of the basic members in the target analysis image is obtained based on the formula The ability value Rz of the basic members in the target analysis image is obtained, wherein θ is a characteristic empowerment factor, and θ includes θ1 and θ2; when the stage characteristics of the basic members are old people, the characteristic empowerment factor θ takes the value θ1 when the ability value of the basic members is calculated; and when the stage characteristics of the basic members are non-old people, the characteristic empowerment factor θ takes the value θ2 when the ability value of the basic members is calculated. Further, when the basic member in the target analysis image is a pet, the ability value of the pet is directly assigned as RZc. 4.The smart security alarm method based on Internet of Things according to claim 1, characterized in that, The determination method of the identity information of the in-out member comprises: When identifying the access member, the face recognition is preferred, and it is judged whether the access member is the basic personnel through the face recognition. If the access member is the basic personnel of the target family, the horizontal distance value and the longitudinal distance value of the basic member are directly called. If the access member is not the basic personnel of the target family, the corresponding access member is marked as a temporary member, and the horizontal distance value, the longitudinal distance value and the ability value of the temporary member are determined according to the method in step one. 5.The smart security alarm method based on Internet of Things according to claim 4, characterized in that, The determination method of the access action includes: First, the reference point is selected in the whole monitoring image, and the position coordinates of the reference point in the space coordinate system are identified; When the access member appears in the monitoring picture of the monitoring device, the corresponding access member is marked as the target personnel, the position coordinates of the current target personnel in the space coordinate system are identified and marked as the initial coordinates, the distance between the initial coordinates and the position coordinates of the reference point is calculated by using the distance formula, and the distance is marked as the initial distance Dq; Then, the behavior of the target personnel is tracked, and when the tracked target personnel disappears, the last position of the target personnel before disappearing is identified and marked as the terminal position. The position coordinates of the terminal position in the space coordinate system are identified, and the distance between the terminal position and the reference point is calculated again by using the distance formula. The distance calculation result is marked as the terminal distance Dw; The initial distance Dq and the terminal distance Dw are compared with the distance threshold Dy respectively, and the access action is determined based on the comparison result. If Dq≤Dy and Dw≤Dy, the access action of the target personnel is marked as the non-discriminatory door-entering action. If Dq>Dy and Dw≤Dy, the access action of the target personnel is marked as the real-time door-entering action. If Dq≤Dy and Dw>Dy, the access action of the target personnel is marked as the real-time door-leaving action. If Dq>Dy and Dw>Dy, the access action of the target personnel is marked as the non-discriminatory leaving action. 6.The smart security alarm method based on Internet of Things according to claim 5, characterized in that, The determination method of the real-time staying member of the target family includes: According to the access action of the target personnel, the real-time staying member of the target family is edited, and the editing includes recording and deleting: If the target personnel is the real-time door-entering action, the identity information of the target personnel is obtained, and the corresponding recording is performed in the real-time staying member of the target family according to the identity information. If the target personnel is the real-time door-leaving action, the identity information of the target personnel is obtained, and the corresponding deletion is performed in the real-time staying member of the target family according to the identity information. If the target personnel is the non-discriminatory door-entering action or the non-discriminatory leaving action, the real-time staying member of the target family is not edited. Further, when the identity information of the target personnel is identified, if the face information of the target personnel is not detected, the identity information of the target personnel is judged by using the horizontal distance value and the longitudinal distance value. 7.The IoT-based intelligent security alarm method according to claim 1, wherein, The generation method of the alarm signal includes: When the dangerous behavior is detected, the real-time staying member of the target family is obtained, and the ability value RZ of the real-time staying member is identified. When the real-time retention member's ability value RZ is greater than or equal to the basic ability threshold Ry, a mild alarm signal is generated, otherwise, if all real-time retention member's ability values RZ are less than the ability threshold Ry, an emergency alarm signal is generated; The danger information includes illegal intrusion, abnormal gas leakage and smoke alarm abnormality; the mild alarm signal refers to alarming sound reminding in the target family, and the corresponding danger behavior is transmitted to the terminal device through the intelligent security system, the danger information is viewed by the basic member through the terminal device, and the danger information is confirmed and processed; the emergency alarm signal refers to alarming sound reminding in the target family, and an emergency rescue phone is identified, and the danger information is informed through the intelligent voice after the emergency rescue phone is dialed, and the corresponding danger behavior is transmitted to the terminal device through the intelligent security system, the danger information is viewed by the basic member through the terminal device, and further, the emergency rescue phone includes a property security phone and an alarm phone.

8. The intelligent security alarm device based on the Internet of Things, characterized in that, The method comprises the steps of: The information identification module is used for identifying the image information of the basic member and the temporary member of the target family, and calculating the ability value of the basic member and the temporary member, and then the information identification module and the action analysis module are in one-way communication transmission; The action analysis module is used for analyzing and judging the entry and exit actions of the target personnel in the monitoring picture, and determining the real-time retention member of the target family, and then the action analysis module and the intelligent alarm module are in one-way communication connection; The danger monitoring module is used for identifying the danger information of the target family, and transmitting the danger information to the intelligent alarm module; The intelligent alarm module is used for generating the corresponding alarm signal according to the ability value of the real-time retention member.

9. An electronic device, comprising: The computer readable storage medium stores computer executable instructions, and the computer executable instructions make the processor realize the intelligent security alarm method in any one of claims 1-7 when the computer executable instructions are called and executed by the processor.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer readable storage medium stores computer executable instructions, and the computer executable instructions make the processor realize the intelligent security alarm method in any one of claims 1-7 when the computer executable instructions are called and executed by the processor.

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