Home anti-theft method and device based on Internet of Things and mobile phone terminal

Abstract

The invention provides a home anti-theft method and device based on the Internet of Things and a mobile phone terminal, and the method comprises the steps: obtaining a user twin space corresponding to a user terminal, the user twin space comprising a plurality of key points and a fixed object, and the key points having corresponding identification tags; joining key points in the twin space of the user according to a path configuration strategy to obtain an anti-theft twin space corresponding to the user side; extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generating an automatic inspection path according to the alarm frequency, controlling indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtaining and storing inspection data; and responding to the intrusion information, calling an inspection terminal point, obtaining an inspection starting point based on the fixed object and / or the identification tag, determining a temporary inspection path according to the inspection starting point and the inspection terminal point, and controlling indoor inspection equipment to acquire anti-theft data based on an acquisition point in the temporary inspection path, and sending the anti-theft data to the user side.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a home anti-theft method and device based on the Internet of Things and a mobile phone terminal. Background Art

[0002] Home security is an important measure to prevent accidents such as theft, robbery and fire. With the development of society and economy, people's safety awareness has also been correspondingly improved. In order to protect their own personal and property safety, people continue to take various preventive measures. Once an emergency occurs, the owner can be notified in time to facilitate rapid emergency measures to prevent accidents or disasters from expanding.

[0003] In the existing technology, anti-theft monitoring is usually carried out by installing monitoring equipment at fixed locations or using drones. When drones are used for monitoring, fixed inspection routes are usually adopted, but they cannot be flexibly adjusted according to the actual situation of the home environment and changes in potential threats.

[0004] Therefore, how to customize and plan inspection routes based on actual household types and layouts for automatic monitoring, improve inspection efficiency, and ensure home safety has become an urgent problem that needs to be solved. Summary of the Invention

[0005] The embodiments of the present invention provide a home anti-theft method and device based on the Internet of Things and mobile phone terminals, which can customize and plan inspection routes according to the actual home type and layout for automatic monitoring, improve inspection efficiency, and ensure home safety.

[0006] A first aspect of an embodiment of the present invention provides a home anti-theft method based on the Internet of Things and a mobile phone terminal, comprising: Obtaining a user twin space corresponding to the user terminal, wherein the user twin space includes multiple key points and fixed objects, and the key points have corresponding identification tags; Connecting key points in the user twin space according to the path configuration strategy to obtain an anti-theft twin space corresponding to the user terminal; Extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generating an automatic inspection path according to the alarm frequency, controlling the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtaining and storing the inspection data; In response to the intrusion information, the inspection end point is retrieved, the inspection starting point is obtained based on the fixed object and / or the identification tag, a temporary inspection path is determined based on the inspection starting point and the inspection end point, and the indoor inspection equipment is controlled based on the collection points in the temporary inspection path to collect anti-theft data and send it to the user end.

[0007] Optionally, in a possible implementation of the first aspect, connecting key points in the user twin space according to a path configuration strategy to obtain an anti-theft twin space corresponding to the user terminal includes: Receive the main inspection path configured by the user end for the user twin space, and select the relay point or monitoring point closest to each functional area in the user twin space and connect them with the corresponding main inspection path; Connecting the key points of each functional area in the user twin space to obtain multiple sub-inspection paths connected to the main inspection path, wherein the key points include relay points and monitoring points; A planned inspection path is obtained according to the main inspection path and the multiple sub-inspection paths, and the user twin space is updated based on the planned inspection path to obtain an anti-theft twin space corresponding to the user terminal.

[0008] Optionally, in a possible implementation of the first aspect, extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generating an automatic inspection path according to the alarm frequency, controlling indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtaining and storing inspection data include: Extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, and obtaining a preset priority value of the corresponding monitoring point; Calculating according to the alarm frequency and the preset priority value to obtain a path judgment coefficient corresponding to the monitoring point; When it is determined that the path judgment coefficient is greater than the preset judgment coefficient, the sub-inspection path where the corresponding monitoring point is located is used as a retained sub-path, and the remaining sub-inspection paths are used as deleted sub-paths; The planned inspection path is deleted and updated according to the deleted sub-path to obtain an automatic inspection path corresponding to the anti-theft twin space. Based on the automatic inspection path, the indoor inspection equipment is controlled to perform automatic inspection, and the inspection data is obtained and stored.

[0009] Optionally, in a possible implementation of the first aspect, the calculating according to the alarm frequency and the preset priority value to obtain the path determination coefficient corresponding to the monitoring point includes: An alarm coefficient is calculated based on the alarm frequency and the reference frequency, and a priority coefficient is calculated based on the preset priority value and the reference priority value; Based on the sum of the alarm coefficient and the priority coefficient, a path judgment coefficient corresponding to the monitoring point is obtained;

[0010] in, For the The path judgment coefficient corresponding to the monitoring point is For the The alarm frequency corresponding to each monitoring point, is the reference frequency, is the frequency normalized value, For the The preset priority value corresponding to each monitoring point, is the base priority value, is the priority normalization value, Determine the weight value for the path.

[0011] Optionally, in a possible implementation manner of the first aspect, when it is determined that the user terminal changes the deleted subpath corresponding to the monitoring point into a retained subpath, a path judgment coefficient of the deleted subpath is obtained as an increased training coefficient; The path judgment coefficients of the remaining deleted sub-paths are used as deletion restriction coefficients, and the largest deletion restriction coefficient is selected as the addition restriction coefficient; Based on the difference between the preset judgment coefficient and the increase limit coefficient, an increase difference coefficient is obtained, and a limit increase value is determined according to the increase difference coefficient; Obtaining an increased training value according to a difference between the preset judgment coefficient and the increased training coefficient, and performing increased training on the path judgment weight value according to the increased training value to obtain an increased path judgment weight value; The increased path judgment weight value is obtained through the following formula:

[0012] in, To limit the added value, is the preset judgment coefficient, To increase the restriction factor, To increase the alarm frequency corresponding to the limit coefficient, To increase the preset priority value corresponding to the restriction coefficient, is the increased path judgment weight value, To increase the constant value, To increase the training coefficient.

[0013] Optionally, in a possible implementation manner of the first aspect, when it is determined that the user terminal changes the retained subpath corresponding to the monitoring point into a deleted subpath, a path judgment coefficient of the retained subpath is obtained as a reduced training coefficient; Using the path judgment coefficients of the remaining retained sub-paths as retained restriction coefficients, and selecting the smallest retained restriction coefficient as the reduced restriction coefficient; Based on the difference between the reduction limit coefficient and the preset judgment coefficient, a reduction difference coefficient is obtained, and a limit reduction value is determined according to the reduction difference coefficient; Obtaining a reduced training value according to a difference between the reduced training coefficient and the preset judgment coefficient, and performing reduction training on the path judgment weight value according to the reduced training value to obtain a reduced path judgment weight value; The reduced path judgment weight value is obtained by the following formula:

[0014] in, To limit the reduction value, is the preset judgment coefficient, To reduce the restriction factor, In order to reduce the alarm frequency corresponding to the limit coefficient, To reduce the preset priority value corresponding to the restriction coefficient, is the weight value of the reduced path judgment, To reduce the constant value, To reduce the training coefficient.

[0015] Optionally, in a possible implementation of the first aspect, the retrieving the inspection endpoint in response to the intrusion information and obtaining the inspection starting point based on the fixed object and / or the identification tag includes: In response to the intrusion information, the corresponding monitoring point is retrieved as the inspection end point, the indoor inspection equipment is controlled to collect data based on a preset angle and a preset direction, initial judgment data is obtained, and a spatial coordinate system is constructed in the anti-theft twin space; When it is determined that the initial judgment data contains an identification tag, obtaining a lateral distance between the indoor inspection device and the identification tag based on a lateral distance sensor, and obtaining a lateral positioning coordinate of the indoor inspection device based on the lateral distance and the horizontal coordinate of the identification tag; Acquire the longitudinal positioning coordinates of the indoor inspection device according to the longitudinal distance sensor, and acquire the vertical positioning coordinates of the indoor inspection device according to the vertical distance sensor; Determining an inspection starting point of the indoor inspection device based on the horizontal positioning coordinate, the longitudinal positioning coordinate, and the vertical positioning coordinate; When it is determined that the initial judgment data contains a fixed object but no identification tag, obtaining the identification tag closest to the corresponding fixed object in the anti-theft twin space as a direction positioning tag; Obtain the relative direction between the corresponding fixed object and the direction positioning tag, control the indoor inspection equipment to continuously collect data based on the relative direction and the preset angle, and obtain positioning judgment data. Until the positioning judgment data has the direction positioning tag, determine the inspection starting point of the indoor inspection equipment according to the distance sensor and the direction positioning tag.

[0016] Optionally, in a possible implementation of the first aspect, determining a temporary inspection path according to the inspection starting point and the inspection end point, and controlling the indoor inspection device to collect anti-theft data based on collection points in the temporary inspection path to send the data to the user terminal includes: Determine the shortest inspection path among the planned inspection paths as the initial inspection path based on the inspection starting point and the inspection end point; Obtaining the inspection speed of the indoor inspection equipment, and obtaining the inspection duration according to the ratio of the initial inspection path and the inspection speed; Obtain an inspection coefficient according to the ratio of the inspection duration to the reference duration, and obtain the collection quantity according to the product of the inspection coefficient and the reference quantity; The inspection endpoint is used as the selection starting point for collection, and the key point that is closest to the selection starting point and has not been selected in the planned inspection path is selected as the current selection starting point. The above steps of selecting key points are repeated until the number of selected key points is equal to the number of collection points, and the selected key points are used as the selection collection points; The selected collection point and the inspection endpoint are used as collection points, and the collection points that are not on the initial inspection path are used as additional collection points; Connecting the additional collection point with the initial inspection path in the planned inspection path to obtain a temporary inspection path corresponding to the indoor inspection equipment; Based on the collection points in the temporary inspection path, the indoor inspection equipment is controlled to collect anti-theft data and send it to the user end.

[0017] Optionally, in a possible implementation of the first aspect, the method further includes: Obtaining a preset acquisition angle corresponding to each of the acquisition points, and retrieving a preset duration corresponding to the preset acquisition angle; When it is determined that the inspection duration is greater than the preset duration, an angle adjustment coefficient is obtained according to the ratio of the inspection duration to the preset duration, and the preset collection angle is increased and adjusted according to the angle adjustment coefficient to obtain the actual collection angle corresponding to each collection point.

[0018] A second aspect of an embodiment of the present invention provides a home anti-theft device based on the Internet of Things and a mobile phone terminal, comprising: An acquisition module is used to acquire a user twin space corresponding to the user terminal, wherein the user twin space includes multiple key points and fixed objects, and the key points have corresponding identification tags.

[0019] The connection module is used to connect the key points in the user twin space according to the path configuration strategy to obtain the anti-theft twin space corresponding to the user terminal.

[0020] A generation module is used to extract the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generate an automatic inspection path according to the alarm frequency, control the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and store the inspection data.

[0021] The collection module is used to respond to the intrusion information to retrieve the inspection end point, obtain the inspection starting point based on the fixed object and / or the identification tag, determine a temporary inspection path based on the inspection starting point and the inspection end point, and control the indoor inspection equipment based on the collection points in the temporary inspection path to collect anti-theft data and send it to the user end.

[0022] According to a third aspect of an embodiment of the present invention, an electronic device is provided, comprising: a memory, a processor, and a computer program, wherein the computer program is stored in the memory, and the processor runs the computer program to execute the first aspect of the present invention and various methods that may be involved in the first aspect.

[0023] According to a fourth aspect of an embodiment of the present invention, a storage medium is provided, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the first aspect of the present invention and various methods that may be involved in the first aspect.

[0024] The beneficial effects of the present invention are as follows: 1. The present invention can customize and plan patrol routes according to the actual home layout for automatic monitoring, thereby improving patrol efficiency and ensuring home safety. Among them, the present invention can mark fixed objects and identification tags according to the user's actual space, so that the subsequent indoor patrol equipment can determine the patrol route for anti-theft monitoring. The present invention can also generate automatic patrol routes according to the alarm frequency of each monitoring point, thereby giving priority to monitoring monitoring points with higher alarm frequencies and improving patrol efficiency. At the same time, the collected patrol data can be stored so that subsequent users can retrieve and view it according to their own needs. Finally, the present invention can also respond to intrusion information, generate temporary patrol routes according to the patrol starting point and patrol end point, and control the indoor patrol equipment to collect anti-theft data so that it can be sent to the user for timely collection measures to reduce user losses.

[0025] 2. The present invention can obtain the alarm frequency and preset priority value of each monitoring point, thereby generating an automatic inspection path and improving the inspection efficiency of the user's home. Among them, the present invention can extract the alarm frequency and preset priority value of each monitoring point to calculate the path judgment coefficient, thereby determining the automatic inspection path, facilitating efficient inspections by indoor inspection equipment, reducing the monitoring of unnecessary key points, and improving monitoring efficiency. In addition, the present invention can also customize the training and updating of the automatic inspection path according to the actual needs of the user, so that the automatic inspection path of the indoor inspection equipment is more in line with the user's actual situation, improving the anti-theft security of the user's home.

[0026] 3. The present invention can also respond to intrusion information, quickly generate a temporary inspection path, and collect relevant anti-theft data through indoor inspection equipment and send it to the user end in a timely manner, thereby improving inspection efficiency and reducing user losses. Specifically, the present invention can use the data collected by the rotation of the indoor inspection equipment to determine the current position of the indoor inspection equipment, and then determine the inspection starting point of the temporary inspection path. The present invention can automatically calculate the optimal path from the inspection starting point to the inspection end point, control the indoor inspection equipment to collect anti-theft data, and improve anti-theft monitoring efficiency while reducing data processing volume. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of a home anti-theft method based on the Internet of Things and a mobile phone terminal provided by the present invention; Figure 2 A schematic diagram of a user twin space provided by the present invention; Figure 3 A schematic diagram of a main inspection route provided by the present invention; Figure 4 A schematic diagram of a sub-inspection path provided by the present invention; Figure 5 This is a structural diagram of a home anti-theft device based on the Internet of Things and a mobile phone terminal provided by the present invention; Figure 6 A schematic diagram of the hardware structure of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0028] The following specific embodiments are used to describe the technical solution of the present invention in detail. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0029] like Figure 1 As shown, the present invention provides a home anti-theft method based on the Internet of Things and a mobile phone terminal, comprising: S1. Obtain a user twin space corresponding to the user terminal, where the user twin space includes multiple key points and fixed objects, and the key points have corresponding identification tags.

[0030] It should be noted that the house layouts corresponding to different users are somewhat different. Therefore, the user twin space of the corresponding user can be received so that the inspection path can be customized based on the user twin space in the future, thereby controlling the indoor inspection equipment to perform automatic monitoring in the user's house space.

[0031] It can be understood that the user end is the information terminal of the user of home theft prevention, which can be the user's mobile phone. The user twin space is the virtual space corresponding to the layout of the user's house. The key point is the location point where the anti-theft monitoring equipment determines the inspection position and performs anti-theft monitoring during the inspection process. The fixed object is a fixed object placed in the space, such as a bookcase or sofa.

[0032] The identification tag is an identifier used by the inspection equipment to identify the inspection path during inspection, and may be a QR code.

[0033] For example: Figure 2 As shown, the corresponding user twin space can be obtained based on the user's floor plan and indoor layout, and the window or door can be used as the key point for inspection, where the key points include relay points and monitoring points to determine the inspection location for subsequent anti-theft monitoring.

[0034] Through the above-mentioned implementation, the present invention can obtain the user's twin space with key points and fixed objects, and configure the inspection path for the inspection equipment according to the identification tags corresponding to the key points, so as to facilitate anti-theft inspections of the user's house.

[0035] S2, connecting the key points in the user twin space according to the path configuration strategy to obtain the anti-theft twin space corresponding to the user terminal.

[0036] It can be understood that the key points are connected in the user twin space to obtain the corresponding anti-theft twin space, so as to subsequently determine the inspection path of the indoor inspection equipment and conduct anti-theft inspections.

[0037] In some embodiments, the specific implementation steps of step S2 (connecting the key points in the user twin space according to the path configuration strategy to obtain the anti-theft twin space corresponding to the user terminal) include: S21, receiving the main inspection path configured by the user terminal for the user twin space, and selecting the relay point or monitoring point closest to each functional area in the user twin space and the corresponding main inspection path for connection.

[0038] It is understandable that the main inspection path is the main path for the inspection equipment to perform anti-theft detection, which can be manually configured according to the floor plan, for example, Figure 3 As shown, the main inspection path is configured in the user twin space to facilitate subsequent inspection equipment to perform anti-theft inspections.

[0039] Among them, the functional area is the area where the user divides the house into functions, such as bedroom, living room, study, etc. The relay point is a point that is not connected to the outdoors, such as the key point at the bedroom door indoors. The monitoring point is a point connected to the outdoors, such as the key point at the door and the window leading to the outdoors. For example, monitoring point 2 can be the door, monitoring points 1, 3, 4, 5, and 6 can be windows, and relay points 1, 2, 3, 4, and 5 can be doors.

[0040] Through the above implementation, the present invention can obtain the main inspection path configured by the user end for the user twin space, so as to facilitate the planning of the inspection route and subsequent safety monitoring.

[0041] S22, connecting the key points of each functional area in the user twin space to obtain multiple sub-inspection paths connected to the main inspection path, the key points including relay points and monitoring points.

[0042] It can be understood that the key points include relay points and monitoring points, which connect the key points of each functional area in the user twin space. The sub-patrol path is the path that connects the key points in each functional area and is connected to the main patrol path. For example, the door in the bedroom and the window in the bedroom are connected. The paths connected to the main patrol path are all sub-patrol paths.

[0043] For example: Figure 4 As shown, the key points in each functional area, such as the monitoring points in the functional area, are connected to the corresponding relay points and then connected to the main inspection path, thereby obtaining the sub-inspection path of the corresponding area, for example, Figure 4 The dotted line in the middle is the sub-inspection path.

[0044] Through the above implementation, the present invention can obtain multiple sub-patrol paths, so as to determine the planned patrol path together with the main patrol path, thereby facilitating anti-theft monitoring of the user's house and improving monitoring efficiency.

[0045] S23, obtaining a planned inspection path according to the main inspection path and the multiple sub-inspection paths, updating the user twin space based on the planned inspection path, and obtaining an anti-theft twin space corresponding to the user terminal.

[0046] It can be understood that the planned inspection path is the inspection path planned by the inspection equipment, which includes the main inspection path and the sub-inspection path, and the anti-theft twin space is a virtual space with the planned inspection path.

[0047] Through the above-mentioned implementation mode, the present invention can obtain an anti-theft twin space, so that the patrol equipment can be controlled according to the anti-theft twin space to perform anti-theft patrols. It is not difficult to understand that by connecting the sub-patrol path and the main patrol path, a planned patrol path can be obtained, and the indoor drone can subsequently patrol the key points on the planned patrol path and the lines between the key points.

[0048] S3, extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generating an automatic inspection path according to the alarm frequency, controlling the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtaining inspection data for storage.

[0049] It should be noted that there may be multiple monitoring points in the user's house, but the monitoring frequencies between different monitoring points may be different. For example, when the alarm frequency of monitoring point 1 in the past month is 10, the alarm frequency of monitoring point 4 in the past month is 0. Therefore, in order to improve the monitoring efficiency of the patrol equipment, multiple monitoring can be performed at monitoring points with higher alarm frequencies, and the sub-patrol path where monitoring point 4 is located can be deleted to reduce patrol redundancy, improve home patrol efficiency, and ensure home safety. At the same time, this solution will take into account the importance of each monitoring point and add more important monitoring points to the patrol path.

[0050] It is not difficult to understand that by adding monitoring points with higher alarm frequencies to the inspection route and controlling the inspection equipment to conduct inspections indoors, the monitoring points with higher alarm frequencies can be monitored, thereby improving inspection efficiency.

[0051] It can be understood that the preset time period is a pre-set time period, for example, it can be one month, the alarm frequency is the frequency of the alarm prompts, the automatic patrol path is the path for the patrol equipment to automatically perform anti-theft patrols, the indoor patrol equipment is the equipment for anti-theft patrols indoors, which can be an indoor drone, and the patrol data is the video data captured during the anti-theft patrol process.

[0052] Through the above implementation, the present invention can obtain inspection data, which is convenient for subsequent users to retrieve and view according to their own needs.

[0053] In some embodiments, the specific implementation steps of step S3 (extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generating an automatic inspection path according to the alarm frequency, controlling the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtaining and storing the inspection data) include: S31, extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, and obtaining the preset priority value of the corresponding monitoring point.

[0054] It can be understood that the preset priority value is the monitoring priority value set by the user for the corresponding monitoring point based on the important protection location of the home, which can be understood as the degree of importance. For example, the preset priority value of monitoring point 1 is 10, the preset priority value of monitoring point 2 is 5, and the preset priority value of monitoring point 4 is 2. The larger the preset priority value, the higher the importance of the corresponding monitoring point, and the corresponding monitoring point needs to be planned in the automatic inspection path for monitoring.

[0055] It is not difficult to understand that the alarm frequency and preset priority value of each monitoring point are obtained to facilitate subsequent comprehensive calculations, thereby automatically calculating the key points of inspection and determining the automatic inspection path, so that indoor inspection equipment can perform anti-theft monitoring.

[0056] S32: Calculate according to the alarm frequency and the preset priority value to obtain a path judgment coefficient corresponding to the monitoring point.

[0057] It can be understood that the path judgment coefficient is the coefficient value of the key point added to the path. When the path judgment coefficient is larger, it means that the corresponding monitoring point is more important and needs to be added to the automatic patrol path for anti-theft monitoring, so as to ensure the safety of the user's home.

[0058] In some embodiments, the specific implementation steps of step S32 (calculating according to the alarm frequency and the preset priority value to obtain the path determination coefficient corresponding to the monitoring point) include: S321, calculating an alarm coefficient based on the alarm frequency and the reference frequency, and calculating a priority coefficient based on the preset priority value and the reference priority value.

[0059] It can be understood that the reference frequency is the reference value for calculating the alarm frequency to obtain the alarm coefficient, which can be preset manually. For example, the reference frequency can be 2. The alarm coefficient is the proportional value for determining the occurrence of an alarm at the monitoring point, which can be obtained by calculating the ratio of the alarm frequency to the reference frequency.

[0060] The reference priority value is a reference value of the priority value, and the reference value of the priority coefficient is obtained, which can be preset manually.

[0061] Through the above implementation, by calculating that when the alarm frequency is large, the corresponding alarm coefficient is large, and when the preset priority value is large, the corresponding priority coefficient is large, the present invention can obtain the alarm coefficient and the priority coefficient, so as to facilitate subsequent calculation to obtain the path judgment coefficient, thereby judging whether the corresponding monitoring point needs to be added to the automatic inspection path.

[0062] S322: Obtain a path judgment coefficient corresponding to the monitoring point based on the sum of the alarm coefficient and the priority coefficient.

[0063] It is understandable that the alarm coefficient and the priority coefficient are summed up to obtain the path judgment coefficient of the corresponding monitoring point through calculation, so as to judge the monitoring point in the automatic inspection path, thereby facilitating the inspection of indoor inspection equipment.

[0064] S323, the path judgment coefficient is obtained by the following formula:

[0065] in, For the The path judgment coefficient corresponding to the monitoring point is For the The alarm frequency corresponding to each monitoring point, is the reference frequency, is the alarm coefficient, is the frequency normalized value, For the The preset priority value corresponding to each monitoring point, is the base priority value, is the priority normalization value, is the priority coefficient, Determine the weight value for the path.

[0066] It is understandable that when The greater the alarm frequency, and The larger the preset value is, the larger the corresponding path judgment coefficient will be, so that the corresponding monitoring point can be determined as the monitoring point in the inspection path. Similarly, when The smaller the alarm frequency, and The smaller the preset value, the smaller the corresponding path judgment coefficient will be. It can be understood that the larger the path judgment coefficient, the more important the monitoring point is and the more alarms have occurred. The larger the path judgment coefficient, the less important the monitoring point is and the fewer alarms have occurred.

[0067] It is not difficult to understand that through Frequency normalized values ​​and Priority normalization value, normalize the alarm coefficient and priority coefficient at the numerical level, where: and It can be preset manually to facilitate the judgment of the obtained path judgment coefficient, thereby determining the corresponding monitoring point.

[0068] S33: When it is determined that the path judgment coefficient is greater than the preset judgment coefficient, the sub-inspection path corresponding to the monitoring point is used as a retained sub-path, and the remaining sub-inspection paths are used as deleted sub-paths.

[0069] It can be understood that the preset judgment coefficient is a reference coefficient value for numerical judgment of the path judgment coefficient, and can be preset.

[0070] It is not difficult to understand that when the obtained path judgment coefficient is greater than the preset judgment coefficient, it can be said that the corresponding monitoring point needs to be monitored in key areas, so that the sub-inspection path where the monitoring point is located can be used as a retained sub-path, and the remaining sub-inspection paths can be used as deleted sub-paths, thereby reducing the inspection time of unnecessary inspection sub-paths and enabling efficient monitoring of the monitoring points in the retained sub-paths.

[0071] The retained sub-path is the inspection sub-path that is retained for anti-theft inspection, and the deleted sub-path is the inspection sub-path that does not need to be inspected.

[0072] For example: when the sub-inspection path containing monitoring point 1 is the sub-inspection path of the bedroom area, and the corresponding path judgment coefficient of monitoring point 1 is higher, the sub-inspection path of the bedroom area will be used as a retained sub-path, so that the subsequent automatic inspection path will contain the retained sub-path to complete the anti-theft monitoring of monitoring point No. 1. When the path judgment coefficient of monitoring point 4 is lower, the sub-inspection path containing monitoring point 4 will be used as a deleted sub-path.

[0073] S34, delete and update the planned inspection path according to the deleted sub-path, obtain the automatic inspection path corresponding to the anti-theft twin space, control the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtain the inspection data for storage.

[0074] It can be understood that deleting the deleted sub-paths in the planned inspection path will reduce the inspection time of unimportant and alarm-free sub-paths, so that the updated automatic inspection paths can be efficiently inspected. The inspection data of the automatic inspection can be stored subsequently, and users can choose to view the videos stored on the corresponding date according to their own needs.

[0075] It should be noted that the alarm frequencies of different monitoring points may change over time. Therefore, the present invention can also automatically adjust according to the actual alarm situation and priority value to determine the corresponding automatic inspection path and improve the efficiency of anti-theft inspection. Therefore, it also includes: A1: When it is determined that the user terminal changes the deleted sub-path corresponding to the monitoring point into a retained sub-path, a path judgment coefficient of the deleted sub-path is obtained as an increased training coefficient.

[0076] It is understandable that if the sub-patrol path in the kitchen area is determined to be a deleted sub-path after calculation, but the user believes that the corresponding sub-patrol path needs to be added to the automatic patrol path for anti-theft inspection, the corresponding sub-patrol path can be updated, and the deleted sub-path can be changed to a retained sub-path, thereby automatically training and adjusting the path judgment weight value so that the corresponding sub-patrol path is determined to be a retained sub-path after calculation. In other words, when the user changes the deleted sub-path to a retained sub-path, that is, the user believes that the corresponding monitoring point is relatively important but has not been added to the patrol path, at this time, the preset priority value corresponding to the monitoring point is larger, and therefore the corresponding path judgment coefficient is larger in the deleted sub-path, but the path judgment coefficient has not yet exceeded the preset judgment coefficient. Therefore, this solution will automatically train the path judgment weight value.

[0077] The added training coefficient is the path judgment coefficient for changing the deleted subpath to the retained subpath.

[0078] For example, when the path judgment coefficient of the monitoring point corresponding to the deletion of the sub-path and the change to the retention of the sub-path is 5, the increase in the training coefficient can be obtained as 5.

[0079] Through the above implementation, the present invention can obtain an increased training coefficient, which is convenient for subsequent automatic training and adjustment of the path judgment weight value.

[0080] A2: Use the path judgment coefficients of the remaining deleted sub-paths as deletion restriction coefficients, and select the largest deletion restriction coefficient as the addition restriction coefficient.

[0081] It can be understood that the deletion restriction coefficient is the path judgment coefficient of the deletion subpath that should not be retained. For example, when there are 3 deletion subpaths, after deleting subpath 1 and changing it to a retained subpath, the path judgment coefficients of the remaining 2 deletion subpaths can be obtained and used as the deletion restriction coefficient. The increase restriction coefficient is the maximum value among the deletion restriction coefficients. It is not difficult to understand that when there are multiple deleted sub-paths, an additional restriction coefficient can be obtained so that when the path judgment weight value is trained and adjusted, the path judgment weight values ​​of the remaining deleted sub-paths can be prevented from being adjusted to within the range of the path judgment coefficient of the retained sub-path.

[0082] A3, based on the difference between the preset judgment coefficient and the increase limit coefficient, obtain an increase difference coefficient, and determine the limit increase value according to the increase difference coefficient.

[0083] It can be understood that the increase difference coefficient is the difference between the preset judgment coefficient and the increase limit coefficient. For example, when the preset judgment coefficient is 10 and the increase limit coefficient is 4, the increase difference coefficient can be obtained as 10-4=6, and the limit increase value can be obtained as 6.

[0084] The limit increase value is a limiting value for increasing the value, so as to limit the range of the increase and ensure that only the corresponding sub-inspection path is changed.

[0085] Through the above implementation, the present invention can determine the limit increase value so that when the path judgment weight value is subsequently adjusted, the increased value does not exceed the limit range.

[0086] A4, obtaining an increased training value according to the difference between the preset judgment coefficient and the increased training coefficient, performing increased training on the path judgment weight value according to the increased training value, and obtaining an increased path judgment weight value.

[0087] It can be understood that the increased training value is the difference between the preset judgment coefficient and the increased training coefficient. For example, when the preset judgment coefficient is 10 and the increased training coefficient is 5, the increased training value can be obtained as 10-5=5. 5 divided by the fixed coefficient value in front of the path judgment weight value in the path judgment coefficient calculation formula can obtain the maximum weight difference, so that the increased path judgment weight value can be calculated based on the increased training value in the future.

[0088] A5, use the following formula to get the increased path judgment weight value:

[0089] in, To limit the added value, is the preset judgment coefficient, To increase the restriction factor, To increase the alarm frequency corresponding to the limit coefficient, To increase the preset priority value corresponding to the restriction coefficient, is the increased path judgment weight value, To increase the constant value, To increase the training coefficient, increase the constant value It can be preset artificially.

[0090] It can be understood that the greater the difference between the preset judgment coefficient and the increased limit coefficient, the larger the corresponding calculated limit increase value will be. Since the difference between the increased path judgment weight value and the original path judgment weight value needs to be less than the limit increase value, and the original path judgment weight value is certain, the increased path judgment weight value can be obtained based on the limit increase value.

[0091] It should be noted that the present invention can not only automatically adjust the deletion sub-path to the retention sub-path, but also calculate the path judgment weight value of the retention sub-path to the deletion sub-path, thereby realizing the deletion and update of the corresponding sub-inspection path. Therefore, the specific implementation method also includes: B1: When it is determined that the user terminal changes the retained sub-path corresponding to the monitoring point into a deleted sub-path, a path judgment coefficient of the retained sub-path is obtained as a reduced training coefficient.

[0092] It can be understood that reducing the training coefficient is the path judgment coefficient for changing the retained sub-path corresponding to the corresponding monitoring point into the deleted sub-path.

[0093] Through the above implementation, the present invention can obtain the reduced training coefficient, so as to subsequently calculate the reduced difference coefficient based on the reduced training coefficient, and then calculate the reduced path judgment weight value to realize automatic update of the path.

[0094] B2: Use the path judgment coefficients of the remaining retained sub-paths as retained restriction coefficients, and select the smallest retained restriction coefficient as the reduced restriction coefficient.

[0095] It can be understood that the retained restriction coefficient is the path judgment coefficient of the retained sub-path excluding the sub-path changed to the deleted sub-path, and the reduced restriction coefficient is the minimum value among the retained restriction coefficients.

[0096] Through the above implementation, the present invention can obtain a reduction restriction coefficient to facilitate subsequent calculation of the path judgment weight value, thereby obtaining the trained and adjusted path judgment weight value.

[0097] B3, obtaining a reduction difference coefficient based on the difference between the reduction limit coefficient and the preset judgment coefficient, and determining a limit reduction value according to the reduction difference coefficient.

[0098] It can be understood that the reduction difference coefficient is the difference between the reduction limit coefficient and the preset judgment coefficient. For example, when the reduction limit coefficient is 13 and the preset judgment coefficient is 10, the reduction difference coefficient can be obtained as 13-10=3.

[0099] Among them, the restricted reduction value is a value that limits the reduction change of the reduction value. For example, when the restricted reduction value is 3, it can be said that the difference between the reduced path judgment weight value and the original path judgment weight value does not exceed 3, that is, the restricted change value is within the range of 3 to prevent excessive reduction, thereby causing the path judgment coefficient of the remaining retained sub-paths to be less than the preset judgment coefficient, making the remaining retained sub-paths become deleted sub-paths.

[0100] B4, obtaining a reduced training value according to the difference between the reduced training coefficient and the preset judgment coefficient, performing reduction training on the path judgment weight value according to the reduced training value, and obtaining a reduced path judgment weight value.

[0101] It can be understood that the reduced training value is the difference between the reduced training coefficient and the preset judgment coefficient. For example, when the reduced training coefficient is 14 and the preset judgment coefficient is 10, the reduced training value is 14-10=4.

[0102] Through the above implementation, the present invention can obtain a reduced training value, so that when the path judgment weight value is reduced through training, a reduced path judgment weight value is obtained, so as to change the retained sub-path into a deleted sub-path.

[0103] B5, the reduced path judgment weight value is obtained by the following formula:

[0104] in, To limit the reduction value, is the preset judgment coefficient, To reduce the restriction factor, In order to reduce the alarm frequency corresponding to the limit coefficient, To reduce the preset priority value corresponding to the restriction coefficient, is the weight value of the reduced path judgment, To reduce the constant value, To reduce the training coefficient, reduce the constant value It can be preset artificially.

[0105] It can be understood that when the reduction limit coefficient is larger, the numerical value of the obtained limit reduction value will also be larger. It is not difficult to understand that when the degree of change of the path judgment weight value, that is, the difference between the path judgment weight value and the reduced path judgment weight value is less than the limit reduction value, it can prevent the path judgment coefficient of the corresponding monitoring point of the remaining retained sub-path after the path judgment weight value is reduced and adjusted from being lower than the preset judgment coefficient, thereby realizing the update and adjustment of the automatically planned path.

[0106] S4, in response to the intrusion information, retrieve the inspection end point, obtain the inspection starting point based on the fixed object and / or the identification tag, determine a temporary inspection path based on the inspection starting point and the inspection end point, and control the indoor inspection equipment based on the collection points in the temporary inspection path to collect anti-theft data and send it to the user end.

[0107] It can be understood that the intrusion information is a prompt information of human intrusion. For example, when a person breaks in through the window, the corresponding infrared device will be triggered, causing the alarm device connected to the infrared device to send an alarm prompt information, so that the patrol end point corresponding to the intrusion can be retrieved according to the intrusion information, so that the indoor patrol equipment can determine the monitoring position. At the same time, the current position of the indoor patrol equipment can be determined based on the fixed object or identification tag, so as to automatically plan a temporary patrol path from the current position to the patrol end point for anti-theft monitoring, and the collected anti-theft data can be sent to the user end in a timely manner so that the user can take quick measures to reduce user losses.

[0108] Among them, the inspection end point is the location end point of the patrol inspection, the inspection starting point is the current location of the indoor inspection equipment, the temporary inspection path is the inspection path temporarily added when an abnormal situation occurs, and the anti-theft data is the video data captured in response to intrusion information.

[0109] In some embodiments, the specific implementation steps of step S4 (the step of retrieving the inspection endpoint in response to the intrusion information and obtaining the inspection starting point based on the fixed object and / or the identification tag) include: S401, in response to the intrusion information, the corresponding monitoring point is retrieved as the inspection end point, the indoor inspection equipment is controlled to collect data based on the preset angle and preset direction, initial judgment data is obtained, and a spatial coordinate system is constructed in the anti-theft twin space.

[0110] It is understandable that it is necessary to determine the current location of the indoor patrol equipment, so as to determine a temporary patrol path based on the patrol end point for anti-theft monitoring. Therefore, the indoor patrol equipment can be controlled to collect information according to the preset angle and preset direction, so that the current location of the indoor patrol equipment can be obtained based on the collected initial judgment data.

[0111] Among them, the preset angle is a pre-set angle, which can be 90°, so that the indoor inspection equipment can rotate and shoot according to the preset angle. When the collected initial judgment data contains fixed objects or identification tags, the collection of initial judgment data can be stopped to avoid shooting and collecting data from all angles, so as to reduce the amount of data processing. The preset direction is a pre-set rotation direction, which can be a clockwise rotation direction or a counterclockwise direction. The initial judgment data is the video image data collected by the indoor inspection equipment to determine the current position.

[0112] Through the above-mentioned implementation, the present invention can obtain a spatial coordinate system, so as to subsequently determine the current position of the indoor inspection equipment in space, thereby determining a temporary inspection path for anti-theft monitoring.

[0113] S402, when it is determined that the initial judgment data contains an identification tag, the lateral distance between the indoor patrol inspection device and the identification tag is obtained based on the lateral distance sensor, and the lateral positioning coordinates of the indoor patrol inspection device are obtained according to the lateral distance and the horizontal coordinate of the identification tag.

[0114] It should be noted that the spatial coordinate system is a three-dimensional coordinate system with three directions. In order to determine the exact position of the indoor inspection equipment, the distance of the indoor inspection equipment from the fixed object or identification tag in three directions to determine the position information can be obtained.

[0115] It can be understood that when the initial judgment data contains an identification tag, the lateral distance between the indoor patrol equipment and the identification tag can be obtained through the lateral sensor to determine the exact position of the indoor patrol equipment. The lateral sensor can be an infrared ranging sensor to obtain the lateral distance between the QR code in the space. This is the existing technology and will not be elaborated here.

[0116] Among them, the lateral distance sensor is a sensor for measuring the lateral distance, the lateral distance is the lateral distance between the indoor inspection device and the identification tag, and the lateral positioning coordinate is the lateral coordinate of the indoor inspection device.

[0117] S403: Acquire the longitudinal positioning coordinates of the indoor patrol inspection device according to the longitudinal distance sensor, and acquire the vertical positioning coordinates of the indoor patrol inspection device according to the vertical distance sensor.

[0118] It can be understood that the longitudinal distance sensor is a sensor that measures the distance in the longitudinal direction, the vertical distance sensor is a sensor that measures the distance in the vertical direction, the longitudinal positioning coordinates are the coordinates of the indoor patrol equipment in the longitudinal direction, the vertical positioning coordinates are the coordinates of the indoor patrol equipment in the vertical direction, and the longitudinal and vertical distance sensors can be infrared ranging sensors.

[0119] S404: Determine an inspection starting point of the indoor inspection device based on the horizontal positioning coordinate, the longitudinal positioning coordinate, and the vertical positioning coordinate.

[0120] It can be understood that the position of the indoor patrol equipment in the anti-theft twin space is determined based on the horizontal positioning coordinates, longitudinal positioning coordinates and vertical positioning coordinates, so that the corresponding position point can be used as the starting point of the anti-theft patrol, so as to facilitate the subsequent determination of the temporary patrol path and thus carry out anti-theft patrol.

[0121] S405 , when it is determined that the initial judgment data contains a fixed object but no identification tag, an identification tag closest to the corresponding fixed object is obtained in the anti-theft twin space as a direction positioning tag.

[0122] It is understandable that when the initial judgment data contains a fixed object but no identification tag, the nearest identification tag can be obtained through the fixed object and used as a direction positioning tag to determine the inspection starting point of the indoor inspection equipment, thereby performing anti-theft monitoring.

[0123] The direction positioning tag is an identification tag for determining the direction.

[0124] S406, obtain the relative direction of the corresponding fixed object and the direction positioning tag, control the indoor patrol inspection equipment to continuously collect data based on the relative direction and the preset angle, and obtain positioning judgment data. When the positioning judgment data has the direction positioning tag, determine the inspection starting point of the indoor patrol inspection equipment according to the distance sensor and the direction positioning tag.

[0125] It can be understood that the relative direction is the position direction between the fixed object and the direction positioning tag, and the positioning judgment data is the data collected by the indoor inspection equipment according to the relative direction and the preset angle.

[0126] Through the above-mentioned implementation mode, the present invention can obtain positioning judgment data with a direction positioning tag, so as to determine the inspection starting point of the indoor inspection equipment. The present invention can determine the nearest QR code through a fixed object, thereby determining the direction of collection, and can locate the direction positioning tag under the premise of collecting less video data, so that less data is collected, and less data is required for subsequent data analysis, thereby improving the positioning efficiency of the drone, and there is no need to perform a full-angle panoramic scan to collect 360° video, and quick positioning can be performed.

[0127] In some embodiments, the specific implementation steps of step S4 (determining a temporary inspection path based on the inspection starting point and the inspection end point, and controlling the indoor inspection equipment to collect anti-theft data based on the collection points in the temporary inspection path and sending it to the user end) include: S407: Determine the shortest inspection path among the planned inspection paths based on the inspection starting point and the inspection end point as an initial inspection path.

[0128] It is understandable that the initial inspection path is the path with the shortest distance between the inspection starting point and the inspection end point.

[0129] S408: Obtain the inspection speed of the indoor inspection device, and obtain the inspection duration according to the ratio of the initial inspection path and the inspection speed.

[0130] It can be understood that the inspection speed is the flight speed of the indoor inspection equipment for patrol monitoring, and the inspection time is the time it takes for the indoor inspection equipment to complete the inspection of the initial inspection path. For example, the inspection time can be 30s, that is, the inspection time of the indoor inspection equipment from the inspection starting point to the inspection end point is 30s.

[0131] S409: Obtain an inspection coefficient according to a ratio of the inspection duration to the reference duration, and obtain a collection quantity according to a product of the inspection coefficient and the reference quantity.

[0132] It should be noted that when it takes a long time for an indoor drone to reach the monitoring point that sends out intrusion information, the intruder is more likely to move. Therefore, the present invention will dynamically select corresponding key points as key points for inspection based on the duration, and subsequently inspect the distance between the key points.

[0133] It can be understood that the benchmark duration is a manually pre-set duration, which can be 10s, the inspection coefficient is the ratio of the inspection duration to the benchmark duration, the benchmark number is the benchmark value corresponding to the benchmark duration, for example, when the benchmark duration is 10s, the corresponding benchmark number can be 1, and the collection quantity is the number of key points contained in the collected anti-theft data.

[0134] For example, when the inspection duration is 30 seconds, the benchmark duration is 10 seconds, and the benchmark quantity is 1, the inspection coefficient is 30 / 10=3, and the corresponding collection quantity is 3×1=3.

[0135] Through the above implementation, the present invention can determine the number of collections, so as to subsequently determine the corresponding key points according to the number of collections, thereby collecting anti-theft data.

[0136] S410, taking the inspection end point as the selection starting point for collection, selecting the key point in the planned inspection path that is closest to the selection starting point and has not been selected as the current selection starting point, repeating the above steps of selecting key points until the number of selected key points is equal to the collection number, and using the selected key points as the selection collection points.

[0137] It is understandable that there may be multiple key points in the planned inspection path. Since the intruder is at the key point position that responds to the intrusion information at takeoff, in order to reduce the amount of data processing, the present invention will collect data from the area of ​​key points near the generation of intrusion information based on the inspection duration. In order to determine the position of the key point where the indoor inspection equipment starts to collect data, the inspection end point can be used as the selection starting point, so as to select the key point closest to the selection starting point as the current selection starting point, until the number of selected key points is equal to the collection number, then the selected key point can be used as the selection collection point, so that the subsequent indoor inspection equipment can collect data on the image of the location area at the selection collection point.

[0138] Among them, selecting collection points is to select key points for data collection.

[0139] It is worth mentioning that the selected collection points can be key points that are not on the initial inspection path, so that anti-theft data can be collected in the area near the inspection end point, so that the storage volume of the collected anti-theft data is small and the integrity of the information in the collected anti-theft data is guaranteed.

[0140] S411 : The selected collection point and the inspection endpoint are used as collection points, and the collection points that are not located on the initial inspection path are used as additional collection points.

[0141] It can be understood that the collection points are the locations where anti-theft data is collected, including selected collection points and inspection endpoints, and the additional collection points are key points among the collection points that are not in the initial inspection path.

[0142] For example, when the inspection starting point is at relay point 1 and the inspection end point is at monitoring point 6, the collection points can be obtained as monitoring point 6, relay point 2, relay point 5, and relay point 4. If relay point 2 is not in the initial inspection path, relay point 2 can be used as an additional collection point.

[0143] S412: Connect the additional collection point with the initial inspection path in the planned inspection path to obtain a temporary inspection path corresponding to the indoor inspection equipment.

[0144] It can be understood that the temporary inspection path is an inspection path obtained by connecting the additional collection points to the initial inspection path.

[0145] Through the above implementation, the present invention can obtain a temporary inspection path, so that the indoor inspection equipment can subsequently collect anti-theft information at the key point locations where intrusion information is generated, so that users can retain anti-theft data and take relevant measures in time to reduce user losses.

[0146] S413: Based on the collection points in the temporary inspection path, the indoor inspection equipment is controlled to collect the anti-theft data and send it to the user end.

[0147] It is understandable that the inspection equipment in the control room collects data from the collection points in the temporary inspection path, captures the anti-theft data and sends it to the user end so that the user can determine the relevant intruder based on the anti-theft data.

[0148] It should be noted that it takes a certain amount of time for indoor inspection equipment to reach the inspection destination. For example, when the inspection time is long, the intruder may have entered the room and moved away from the window. Therefore, when the indoor inspection equipment reaches the window, the data captured according to the pre-set angle may lack information. Therefore, the shooting angle of the indoor inspection equipment can be adjusted according to the inspection time to make the collected data more complete and effective, which also includes: C1, obtaining a preset collection angle corresponding to each collection point, and retrieving a preset duration corresponding to the preset collection angle.

[0149] It can be understood that the preset acquisition angle is a preset acquisition shooting angle, and the preset duration is a preset duration, which corresponds to the preset acquisition angle. For example, when the inspection time to reach the inspection end point is 10s, the corresponding preset acquisition angle is 90°, that is, the image data within a range of 90° around the inspection end point is collected; when the inspection time to reach the inspection end point is 60s, the corresponding preset acquisition angle is 360°, that is, the image data within a range of 360° around the inspection end point is collected to ensure data integrity.

[0150] C2, when it is determined that the inspection duration is greater than the preset duration, an angle adjustment coefficient is obtained according to the ratio of the inspection duration to the preset duration, and the preset collection angle is increased and adjusted according to the angle adjustment coefficient to obtain the actual collection angle corresponding to each collection point.

[0151] It can be understood that the inspection time is the time it takes for the indoor inspection equipment to reach the inspection end point from the inspection starting point, the angle adjustment coefficient is the coefficient value for adjusting the collection angle of the indoor inspection equipment, and the actual collection angle is the actual angle for collecting anti-theft data, which can be 180° or 360°.

[0152] For example: when the inspection time is 30s, which is longer than the preset time of 10s, the angle adjustment coefficient is 30 / 10=3, indicating that the indoor inspection equipment takes a long time to arrive. Therefore, it is necessary to collect detailed data of the area around the inspection end point, so that the collection angle can be adjusted to rotate the indoor inspection equipment and increase the shooting area. For example, when the angle adjustment coefficient is 3, the preset collection angle of 90° can be adjusted to 270°, so that the collected anti-theft data is more complete.

[0153] like Figure 5 FIG. 1 is a schematic diagram of a home anti-theft device based on the Internet of Things and a mobile phone terminal provided by an embodiment of the present invention. The device includes: An acquisition module is used to acquire a user twin space corresponding to the user terminal, wherein the user twin space includes multiple key points and fixed objects, and the key points have corresponding identification tags.

[0154] The connection module is used to connect the key points in the user twin space according to the path configuration strategy to obtain the anti-theft twin space corresponding to the user terminal.

[0155] A generation module is used to extract the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generate an automatic inspection path according to the alarm frequency, control the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and store the inspection data.

[0156] The collection module is used to respond to the intrusion information to retrieve the inspection end point, obtain the inspection starting point based on the fixed object and / or the identification tag, determine a temporary inspection path based on the inspection starting point and the inspection end point, and control the indoor inspection equipment based on the collection points in the temporary inspection path to collect anti-theft data and send it to the user end.

[0157] like Figure 6 FIG. 1 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention. The electronic device 60 includes: a processor 61, a memory 62 and a computer program; The memory 62 is used to store the computer program, which may also be a flash memory. The computer program is, for example, an application program or a functional module for implementing the above method.

[0158] The processor 61 is configured to execute the computer program stored in the memory to implement the various steps performed by the device in the above method. For details, please refer to the relevant description in the above method embodiment.

[0159] Optionally, the memory 62 may be independent or integrated with the processor 61 .

[0160] When the memory 62 is a device independent of the processor 61, the device may further include: The bus 63 is used to connect the memory 62 and the processor 61 .

[0161] The present invention also provides a readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the methods provided in the various embodiments described above.

[0162] The readable storage medium may be a computer storage medium or a communication medium. Communication media include any medium that facilitates the transfer of computer programs from one location to another. Computer storage media may be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, a readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may be located in an application-specific integrated circuit (ASIC). In addition, the ASIC may be located in a user device. Of course, the processor and the readable storage medium may also exist as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0163] The present invention also provides a program product, which includes execution instructions stored in a readable storage medium. At least one processor of a device can read the execution instructions from the readable storage medium, and at least one processor executes the execution instructions so that the device implements the methods provided in the various embodiments described above.

[0164] In the embodiments of the above-mentioned devices, it should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), etc. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly executed by a hardware processor or by a combination of hardware and software modules within the processor.

[0165] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A home anti-theft method based on the Internet of Things and mobile phone terminals, characterized in that: include: Obtaining a user twin space corresponding to the user terminal, wherein the user twin space includes multiple key points and fixed objects, and the key points have corresponding identification tags; Connecting key points in the user twin space according to the path configuration strategy to obtain an anti-theft twin space corresponding to the user terminal; Extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generating an automatic inspection path according to the alarm frequency, controlling the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtaining and storing the inspection data; In response to the intrusion information, the inspection end point is retrieved, the inspection starting point is obtained based on the fixed object and / or the identification tag, a temporary inspection path is determined based on the inspection starting point and the inspection end point, and the indoor inspection equipment is controlled based on the collection points in the temporary inspection path to collect anti-theft data and send it to the user end.

2. The method according to claim 1, characterized in that Connecting the key points in the user twin space according to the path configuration strategy to obtain the anti-theft twin space corresponding to the user terminal includes: Receive the main inspection path configured by the user end for the user twin space, and select the relay point or monitoring point closest to each functional area in the user twin space and connect them with the corresponding main inspection path; Connecting the key points of each functional area in the user twin space to obtain multiple sub-inspection paths connected to the main inspection path, wherein the key points include relay points and monitoring points; A planned inspection path is obtained according to the main inspection path and the multiple sub-inspection paths, and the user twin space is updated based on the planned inspection path to obtain an anti-theft twin space corresponding to the user terminal.

3. The method according to claim 2, characterized in that The method extracts the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generates an automatic inspection path according to the alarm frequency, controls indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and obtains and stores inspection data, including: Extracting the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, and obtaining a preset priority value of the corresponding monitoring point; Calculating according to the alarm frequency and the preset priority value to obtain a path judgment coefficient corresponding to the monitoring point; When it is determined that the path judgment coefficient is greater than the preset judgment coefficient, the sub-inspection path where the corresponding monitoring point is located is used as a retained sub-path, and the remaining sub-inspection paths are used as deleted sub-paths; The planned inspection path is deleted and updated according to the deleted sub-path to obtain an automatic inspection path corresponding to the anti-theft twin space. Based on the automatic inspection path, the indoor inspection equipment is controlled to perform automatic inspection, and the inspection data is obtained and stored.

4. The method according to claim 3, characterized in that The calculating according to the alarm frequency and the preset priority value to obtain the path determination coefficient corresponding to the monitoring point includes: An alarm coefficient is calculated based on the alarm frequency and the reference frequency, and a priority coefficient is calculated based on the preset priority value and the reference priority value; Based on the sum of the alarm coefficient and the priority coefficient, a path judgment coefficient corresponding to the monitoring point is obtained; The path judgment coefficient is obtained by the following formula: ； in, For the The path judgment coefficient corresponding to the monitoring point is For the The alarm frequency corresponding to each monitoring point, is the reference frequency, is the frequency normalized value, is the preset priority value corresponding to the monitoring point, is the base priority value, is the priority normalization value, Determine the weight value for the path.

5. The method according to claim 4, characterized in that Also includes: When it is determined that the user terminal changes the deleted sub-path corresponding to the monitoring point into a retained sub-path, obtaining a path judgment coefficient of the deleted sub-path as an increased training coefficient; The path judgment coefficients of the remaining deleted sub-paths are used as deletion restriction coefficients, and the largest deletion restriction coefficient is selected as the addition restriction coefficient; Based on the difference between the preset judgment coefficient and the increase limit coefficient, an increase difference coefficient is obtained, and a limit increase value is determined according to the increase difference coefficient; Obtaining an increased training value according to a difference between the preset judgment coefficient and the increased training coefficient, and performing increased training on the path judgment weight value according to the increased training value to obtain an increased path judgment weight value; The increased path judgment weight value is obtained through the following formula: ； in, To limit the added value, is the preset judgment coefficient, To increase the restriction factor, To increase the alarm frequency corresponding to the limit coefficient, To increase the preset priority value corresponding to the restriction coefficient, is the increased path judgment weight value, To increase the constant value, To increase the training coefficient.

6. The method according to claim 4, characterized in that Also includes: When determining that the user terminal changes the retained sub-path corresponding to the monitoring point into a deleted sub-path, obtaining a path judgment coefficient of the retained sub-path as a reduced training coefficient; Using the path judgment coefficients of the remaining retained sub-paths as retained restriction coefficients, and selecting the smallest retained restriction coefficient as the reduced restriction coefficient; Based on the difference between the reduction limit coefficient and the preset judgment coefficient, a reduction difference coefficient is obtained, and a limit reduction value is determined according to the reduction difference coefficient; Obtaining a reduced training value according to a difference between the reduced training coefficient and the preset judgment coefficient, and performing reduction training on the path judgment weight value according to the reduced training value to obtain a reduced path judgment weight value; The reduced path judgment weight value is obtained by the following formula: ； in, To limit the reduction value, is the preset judgment coefficient, To reduce the restriction factor, In order to reduce the alarm frequency corresponding to the limit coefficient, To reduce the preset priority value corresponding to the restriction coefficient, is the weight value of the reduced path judgment, To reduce the constant value, To reduce the training coefficient.

7. The method according to claim 2, characterized in that The step of retrieving the inspection endpoint in response to the intrusion information and obtaining the inspection starting point based on the fixed object and / or the identification tag includes: In response to the intrusion information, the corresponding monitoring point is retrieved as the inspection end point, the indoor inspection equipment is controlled to collect data based on a preset angle and a preset direction, initial judgment data is obtained, and a spatial coordinate system is constructed in the anti-theft twin space; When it is determined that the initial judgment data contains an identification tag, obtaining a lateral distance between the indoor inspection device and the identification tag based on a lateral distance sensor, and obtaining a lateral positioning coordinate of the indoor inspection device based on the lateral distance and the horizontal coordinate of the identification tag; Acquire the longitudinal positioning coordinates of the indoor inspection device according to the longitudinal distance sensor, and acquire the vertical positioning coordinates of the indoor inspection device according to the vertical distance sensor; Determining an inspection starting point of the indoor inspection device based on the horizontal positioning coordinate, the longitudinal positioning coordinate, and the vertical positioning coordinate; When it is determined that the initial judgment data contains a fixed object but no identification tag, obtaining the identification tag closest to the corresponding fixed object in the anti-theft twin space as a direction positioning tag; Obtain the relative direction between the corresponding fixed object and the direction positioning tag, control the indoor inspection equipment to continuously collect data based on the relative direction and the preset angle, and obtain positioning judgment data. Until the positioning judgment data has the direction positioning tag, determine the inspection starting point of the indoor inspection equipment according to the distance sensor and the direction positioning tag.

8. The method according to claim 7, characterized in that The determining of a temporary inspection path according to the inspection starting point and the inspection end point, and controlling the indoor inspection equipment to collect anti-theft data based on the collection points in the temporary inspection path and sending the collected data to the user end includes: Determine the shortest inspection path among the planned inspection paths as the initial inspection path based on the inspection starting point and the inspection end point; Obtaining the inspection speed of the indoor inspection equipment, and obtaining the inspection duration according to the ratio of the initial inspection path and the inspection speed; Obtain an inspection coefficient according to the ratio of the inspection duration to the reference duration, and obtain the collection quantity according to the product of the inspection coefficient and the reference quantity; The inspection endpoint is used as the selection starting point for collection, and the key point that is closest to the selection starting point and has not been selected in the planned inspection path is selected as the current selection starting point. The above steps of selecting key points are repeated until the number of selected key points is equal to the number of collection points, and the selected key points are used as the selection collection points; The selected collection point and the inspection endpoint are used as collection points, and the collection points that are not on the initial inspection path are used as additional collection points; Connecting the additional collection point with the initial inspection path in the planned inspection path to obtain a temporary inspection path corresponding to the indoor inspection equipment; Based on the collection points in the temporary inspection path, the indoor inspection equipment is controlled to collect anti-theft data and send it to the user end.

9. The method according to claim 8, characterized in that Also includes: Obtaining a preset acquisition angle corresponding to each of the acquisition points, and retrieving a preset duration corresponding to the preset acquisition angle; When it is determined that the inspection duration is greater than the preset duration, an angle adjustment coefficient is obtained according to the ratio of the inspection duration to the preset duration, and the preset collection angle is increased and adjusted according to the angle adjustment coefficient to obtain the actual collection angle corresponding to each collection point.

10. A home anti-theft device based on the Internet of Things and mobile phone terminals, characterized in that: include: An acquisition module, configured to acquire a user twin space corresponding to the user terminal, wherein the user twin space includes a plurality of key points and fixed objects, and the key points have corresponding identification tags; A connection module, used to connect the key points in the user twin space according to the path configuration strategy to obtain the anti-theft twin space corresponding to the user terminal; A generation module is used to extract the alarm frequency of each monitoring point in the anti-theft twin space based on a preset time period, generate an automatic inspection path according to the alarm frequency, control the indoor inspection equipment to perform automatic inspection based on the automatic inspection path, and store the obtained inspection data; The collection module is used to respond to the intrusion information to retrieve the inspection end point, obtain the inspection starting point based on the fixed object and / or the identification tag, determine a temporary inspection path based on the inspection starting point and the inspection end point, and control the indoor inspection equipment based on the collection points in the temporary inspection path to collect anti-theft data and send it to the user end.

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