WO2024027684A1 - Geofence detection method and apparatus and electronic device - Google Patents

Abstract

The present application relates to the technical field of communication. Disclosed are a geofence detection method and apparatus and an electronic device. The method comprises: acquiring a first position point where an electronic device is currently located; respectively determining normal vectors of a target geofence, wherein the target geofence is formed by connecting N boundary vertexes in a preset order, each normal vector is perpendicular to each edge vector of the target geofence, the edge vector is a vector formed by connecting two adjacent boundary vertexes of the target geofence, and N is an integer greater than 2; and according to a dot product of a vector formed by connecting the first position point and target boundary vertexes and a target normal vector, determining a position relationship between the first position point and the target geofence, wherein the target boundary vertexes are some or all of the boundary vertexes in the target geofence, and the target normal vector is a normal vector perpendicular to edge vectors at the target boundary vertexes.

Description

Geofence detection method, device and electronic equipment

Cross-references to related applications

This application claims priority from Chinese Patent Application No. 202210931542.5 filed in China on August 4, 2022, the entire content of which is incorporated herein by reference.

Technical field

This application belongs to the field of communication technology, and specifically relates to a geofence detection method, device and electronic equipment.

Background technique

Geofencing uses a virtual fence to enclose a virtual geographical boundary. When an electronic device enters or leaves a specific geographical area, or is active within this area, it can receive automatic notifications such as information reminders.

In actual application scenarios, the real geographic point of interest (POI) boundary is often a closed irregular polygon composed of some discrete location points and their corresponding connections. In related technologies, the Crossing Number method is usually used to determine whether a location point is inside a polygonal geofence. The principle is to calculate the number of times a ray starting from point P passes through the polygon boundary. If it is an odd number, then point P is within Inside the polygon, or outside the polygon if it's even.

However, since this method involves the problem of judging whether the ray intersects with the line segment, that is, it involves the inversion operation of the matrix, and the calculation amount of this operation is relatively large, and it also requires at least two rays starting from point P. Perform operations on all polygon boundaries one by one, which increases the amount of calculation. It can be seen that the geofence detection method in related technologies has a problem of huge calculation amount.

Contents of the invention

The purpose of the embodiments of the present application is to provide a geofence detection method, device and electronic equipment, which can solve the problem of huge calculation amount of geofence detection methods in related technologies.

In a first aspect, embodiments of the present application provide a geofence detection method, which method includes:

Obtain the first location point where the electronic device is currently located;

Determine the normal vectors of each target geofence respectively, wherein the target geofence is formed by connecting N boundary vertices in a preset order, the normal vector is perpendicular to the edge vector of the target geofence, and the edge vector is The vector formed by connecting two adjacent boundary vertices of the target geofence, N is an integer greater than 2;

The positional relationship between the first position point and the target geofence is determined according to the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector, wherein the target boundary vertex is the For some or all boundary vertices in the target geofence, the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex.

In a second aspect, embodiments of the present application provide a geofence detection device, including:

The acquisition module is used to acquire the first position point where the electronic device is currently located;

The first determination module is used to determine each normal vector of the target geographical fence, wherein the target geographical fence is formed by connecting N boundary vertices in a preset order, and the normal vector is perpendicular to the edge vector of the target geographical fence. , the edge vector is a vector formed by connecting two adjacent boundary vertices of the target geofence, and N is an integer greater than 2;

The second determination module is used to determine the positional relationship between the first position point and the target geofence according to the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector, wherein, The target boundary vertex is part or all of the boundary vertices in the target geofence, and the target normal vector is a normal vector perpendicular to an edge vector at the target boundary vertex.

In a third aspect, embodiments of the present application provide an electronic device. The electronic device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The programs or instructions are processed by the processor. When the processor is executed, the steps of the geofence detection method described in the first aspect are implemented.

In the fourth aspect, embodiments of the present application provide a readable storage medium that stores programs or instructions. When the programs or instructions are executed by a processor, the geofence detection as described in the first aspect is implemented. Method steps.

In a fifth aspect, embodiments of the present application provide a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the first aspect. The geofence detection method.

In a sixth aspect, embodiments of the present application provide a computer program product. The computer program product is stored in a storage medium. The computer program product is executed by at least one processor to implement the geofence detection method as described in the first aspect.

In this embodiment of the present application, the first location point where the electronic device is currently located is obtained; each normal vector of the target geofence is determined respectively, wherein the target geofence is formed by connecting N boundary vertices in a preset order, and the The normal vector is perpendicular to the edge vector of the target geofence, the edge vector is a vector formed by connecting two adjacent boundary vertices of the target geofence, and N is an integer greater than 2; according to the first position point and The dot product of the vector formed by connecting the target boundary vertices and the target normal vector determines the positional relationship between the first position point and the target geofence, wherein the target boundary vertex is part or all of the target geofence. Boundary vertex, the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex. In this way, the vector method is used to detect geofences on electronic devices, avoiding the complex operations involved in the traditional cross number method, and only using four simple arithmetic operations, which can effectively reduce the computational complexity of fence detection and greatly reduce calculations. quantity and improve detection efficiency.

Description of the drawings

Figure 1 is a schematic diagram of a polygonal geofence of a POI provided by an embodiment of the present application;

Figure 2 is a schematic diagram of geofence detection using the cross number method in related technologies;

Figure 3 is a schematic diagram of splitting a polygonal geofence into multiple circular fences in the related art;

Figure 4 is one of the flow charts of the geofence detection method provided by the embodiment of the present application;

Figure 5 is a schematic diagram of the edge vectors and corresponding normal vectors of a polygonal geofence provided by an embodiment of the present application;

Figure 6 is an algorithm flow chart for polygon geofence detection using the vector method provided by the embodiment of the present application;

Figure 7 is the second flow chart of the geofence detection method provided by the embodiment of the present application;

Figure 8 is a schematic diagram of the movement direction vector and the corresponding normal dividing the fence area in the polygonal geofence provided by the embodiment of the present application;

Figure 9 is a schematic diagram of the movement direction vector and normal coordinate rotation provided by the embodiment of the present application;

Figure 10 is the third flow chart of the geofence detection method provided by the embodiment of the present application;

Figure 11 is a schematic diagram of the distance of a point in various directions within a polygonal geofence provided by an embodiment of the present application;

Figure 12 is the fourth flow chart of the geofence detection method provided by the embodiment of the present application;

Figure 13 is a schematic structural diagram of a geofence detection device provided by an embodiment of the present application;

Figure 14 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

Figure 15 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances so that the embodiments of the application can be practiced in sequences other than those illustrated or described herein, and that "first," "second," etc. are distinguished Objects are usually of one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

In order to make the embodiments of this application clearer, the relevant technical knowledge involved in this application is first introduced as follows:

Wireless Fidelity (WiFi) is a wireless LAN access technology and one of the ways for mobile phones and other electronic devices to connect to the network wirelessly;

Access Point (AP) is the core device of the wireless LAN built by WiFi. It is used to bridge the LAN and the Internet. All WiFi devices must be connected to the AP device to access the Internet. In daily life, wireless routers and gateways are common AP devices, and smartphones can also become AP devices when turning on WiFi hotspots;

Global Positioning System (GPS) is a type of satellite positioning system. Currently, smartphones generally integrate GPS chip modules, which can receive and interpret signals broadcast by GPS satellites to determine their location;

Point of Interest (POI), in geographic information systems, a point of interest represents a geographical unit, such as a shop, a house, a bus stop, etc.

Geofence detection is an important function integrated in the framework layer of intelligent electronic devices. It is a bridge that converts the underlying geographical location information into the user's space and context. It is used for users' situation awareness, user portraits, important information reminders and other services. Plays an important supporting role.

At present, most geofences are designed as circular fences, that is, the boundary of the geofence is a circle, consisting of the center position coordinates and the radius. The advantage of the circular fence is that it is simple, especially the fence detection algorithm. It only needs to determine whether the distance between the current position and the center of the fence is less than the radius of the fence to determine whether to enter the fence. However, circular fences also have their inherent drawbacks. The main drawback is that they cannot coincide with the boundaries of real geographical POIs, resulting in frequent misjudgments or missed determinations in real application scenarios, affecting the accuracy of geofence detection. In actual application scenarios, the real geographic POI boundary is often a closed irregular polygon composed of some discrete location points and their corresponding connections. In order to improve the accuracy of geofence detection itself, it is better to Supporting related upper-layer services has become very important for the detection of polygonal geofences.

The polygonal geofence consists of a sequence of position points {P _n }, {P _n } = {P ₁ , P ₂ ,..., P _N }, where P ₁ , P ₂ ...P _N all represent the vertices of the polygon boundary , they are arranged in a certain order (usually in counterclockwise order), and the first and last items of this sequence represent the same point, that is, P ₁ =P _N . In this way, the sequence composed of these discrete point sets forms a closed polygon, and the edge P _i P _i+1 (i=1,2,...,N-1) formed by two adjacent points represents the polygonal geofence. an edge of. An actual polygonal geofence 10 of a shopping mall POI can be shown in Figure 1 .

Currently, the Crossing Number method, also known as the parity check method, is mainly used to determine whether a point is inside a polygonal geofence. As shown in Figure 2, it is used to determine whether a ray starting from point P passes through the polygonal geofence boundary. If it is an odd number, it is determined that point P is inside the polygonal geofence; if it is an even number, it is determined that point P is outside the polygonal geofence.

However, the technology that uses the intersection number method to determine whether a point is inside a polygonal geofence has the following shortcomings:

1) The amount of calculation is huge: The intersection number method involves the problem of judging whether the ray and the line segment intersect, and judging this problem involves the inversion operation of the matrix. The amount of calculation of this operation is relatively large, and it also needs to start from point P. At least two starting rays and all boundaries of the polygonal geofence must be calculated one by one, which increases the calculation amount. For services such as geofencing, due to privacy protection restrictions, fence detection is basically done on the terminal side, which means that this calculation must also be performed on the terminal side, and the huge amount of calculation will inevitably cause the terminal to Large power consumption overhead;

2) The calculation results are unstable: As mentioned above, judging whether the ray and the line segment intersect in the cross number method involves the inversion operation of the matrix. Once the matrix required is an ill-conditioned matrix and the condition number is very large, then there will be a small problem in the data. The disturbance will cause huge fluctuations in the calculation results, leading to errors in the calculation results;

3) Not applicable to some special cases: for example, if the ray starting from point P happens to coincide with a certain edge of the polygon boundary, then the conclusion of the intersection number method will no longer apply. However, in real application scenarios, this special situation cannot be completely avoided.

In view of this, the traditional intersection number method has limited application in actual polygon geofence detection, and developers need to use optimized alternative algorithms for detection.

The improved replacement algorithm of the traditional cross number method usually uses the split approximation method to split a complete polygonal geofence into several simple-shaped geofences for approximate replacement, thereby reducing the computational complexity of the geofence detection algorithm. For example, as shown in Figure 3, a complete polygonal geofence is generated into multiple circular geofences to cover the geographical area defined by the polygonal geofence, and the multiple circular geofences are monitored to detect entry into any describe The current location of the user's device that bounds the circular geofence.

However, the technical solution shown in Figure 3 also has its inherent flaws, specifically the following points:

1) Splitting a polygonal geofence into multiple circular fences also requires a large amount of calculation. The technical solution is to use internal interpolation to select the center point of the circular fence and calculate the corresponding radius, which also involves relatively complex calculations. algorithm. In addition, the number of split circular fences is proportional to the area of the polygonal fence, which is the opposite for those polygonal geofences that occupy a larger area but have simpler boundaries (or a smaller number of vertices on the polygonal fence boundary). The amount of calculation is increased and the gain outweighs the gain;

2) Using a circular fence to simulate a polygonal geofence still cannot completely fit the accurate boundary of the polygonal geofence. Although the radius of the circular fence on the boundary of the fence is usually relatively small, there is still a certain probability that it will reach the polygonal geofence. Outside the bounds, this will also affect the accuracy of polygon geofencing to some extent.

In order to solve the technical problems existing in the above technical solution, this application designs a polygonal geofence detection method. Specifically, the vector calculation method is used to determine whether point P is located inside the polygonal geofence. The vector method for detecting polygonal geofences avoids the complex operations involved in the traditional intersection number method, and can effectively reduce the computational complexity of fence detection, improve detection efficiency, and reduce equipment power consumption. In addition, the vector method for polygonal fence detection is calculated and judged strictly according to the real boundary of the polygon, thus avoiding the problem of inconsistency between the fence boundary and the actual polygonal fence boundary during the approximation simulation using a circular fence or a rectangular fence in the split approximation method.

The geofence detection method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios.

Please refer to Figure 4. Figure 4 is a flow chart of a geofence detection method provided by an embodiment of the present application. As shown in Figure 4, the method includes the following steps:

Step 401: Obtain the first location point where the electronic device is currently located.

In the embodiment of the present application, when it is necessary to perform geofence detection on an electronic device to determine whether the user of the electronic device has entered the target geofence, the current location information of the electronic device can be obtained, such as by locating the electronic device. The position of the device is to obtain the position point where the electronic device is located at the current moment, that is, the first position point.

Step 402: Determine each normal vector of the target geofence respectively, wherein the target geofence is formed by connecting N boundary vertices in a preset order, the normal vector is perpendicular to the edge vector of the target geofence, and the edge The vector is a vector formed by connecting two adjacent boundary vertices of the target geofence, and N is an integer greater than 2.

The above-mentioned target geofence may be a geofence of a certain POI, for example, it may be a geofence of a certain POI near the electronic device. The target geofence may be a polygonal geofence, including N boundary vertices, which is a closed polygonal area formed by connecting the N boundary vertices in a certain order. For example, the N boundary vertices are P ₁ and P respectively. ₂ ...P _N , then the N boundary vertices can be connected in positive order, that is, P ₁ is connected to P ₂ , P ₂ is connected to P ₃ ,...P _N-1 is connected to _PN , and P _N is connected to P ₁ Connect, or you can also connect the N boundary vertices in reverse order, that is, connect P ₁ to _PN , connect _PN to _PN-1 ,...P ₃ to P ₂ , and connect P ₂ to P _1. , thus obtaining a closed polygonal geofence.

The edge vector of the target geofence may refer to the connection shape of two adjacent boundary vertices of the target geofence. For example, as shown in Figure 5, two adjacent boundary vertices can be connected in a counterclockwise direction to form an edge vector: Of course, two adjacent boundary vertices can also be connected in a clockwise direction to form an edge vector.

Each normal vector of the target geofence may refer to a vector perpendicular to each edge vector of the target geofence, and the direction of each normal vector may be counterclockwise or clockwise to the direction of the corresponding edge vector. Obtained by rotating 90°. Therefore, the above-mentioned determination of each normal vector of the target geofence may be to determine each edge vector of the target geofence, and perform coordinate transformation on each edge vector according to the coordinate transformation formula, thereby obtaining each corresponding normal vector, The coordinate transformation formula is determined based on the rotation angle. For example, if the object is rotated 90° counterclockwise, the angle of rotation is 90°, and if rotated 90° clockwise, the angle of rotation is -90°.

Step 403: Determine the positional relationship between the first position point and the target geofence according to the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector, wherein the target boundary vertex is part or all of the boundary vertices in the target geofence, and the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex.

In the embodiment of the present application, the angle between the target vector formed by connecting the first location point and any boundary vertex in the target geofence and the normal vector corresponding to the edge vector where the boundary vertex is located can be determined. The positional relationship between the first position point and the target geofence, that is, determining whether the first position point is located inside or outside the target geofence. For example, if the normal vector points to the inside of the target geofence, then The target vector is a vector whose boundary vertex points to the first location point. Then, for the location point located inside the target geographical fence, the angle between the target vector and the normal vector is an acute angle, and the angle between the target vector and the normal vector is an acute angle. The position point outside the fence, the angle between the target vector and the normal vector is an obtuse angle; or, if the normal vector points outside the target geofence, the target vector is the boundary vertex pointing to the first position point vector, then for a position point located inside the target geofence, the angle between the target vector and the normal vector is an obtuse angle; for a position point located outside the target geofence, the target vector and the normal vector The angle between the normal vectors is an acute angle. In order to determine whether the angle between two vectors is an acute angle, it can be determined based on whether the dot product of the two vectors is greater than 0. If the dot product is greater than 0, it can be determined that the angle between the two vectors is an acute angle, and vice versa.

Therefore, in the embodiment of the present application, based on the above principle, the vector formed by connecting the first position point and the target boundary vertex can be determined according to the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector. Whether the angle between the first position point and the target normal vector is an acute angle, and then combined with the direction of the vector formed by connecting the first position point and the target boundary vertex and the direction of the target normal vector, determine the relationship between the first position point and the The positional relationship of the target geofence, that is, determining whether the first location point is located inside or outside the target geofence.

Wherein, the target boundary vertices may include all boundary vertices of the target geofence, or may only include part of the boundary vertices of the target geofence. That is, in one embodiment, the target boundary vertices may be determined according to the first location point and the target geofence. The dot product of the vector formed by connecting each boundary vertex of the target geofence and the target normal vector determines the positional relationship between the first position point and the target geofence. This implementation is suitable for first determining whether the electronic device Entering inside the target geofence; in another implementation, in order to save calculations, the first location point can be The dot product of the vector formed by connecting the target boundary vertex of the target geofence that meets certain conditions (such as the boundary vertex on the same side as the first location point) and the target normal vector determines the relationship between the first location point and Regarding the positional relationship of the target geofence, this embodiment is applicable to the situation where the electronic device has entered the target geofence and subsequently determines whether the electronic device is still inside the target geofence based on real-time positioning. The edge vector at the target boundary vertex may refer to an edge vector starting from the target boundary vertex.

Optionally, the normal vector points to the interior of the target geofence;

The step 403 includes:

When the dot product of the first vector and the target normal vector is greater than 0, it is determined that the first location point is located inside the target geofence, wherein the first vector points from the target boundary vertex to the target geofence. The vector of the first position point;

When the dot product of the first vector and the target normal vector is less than 0, it is determined that the first location point is located outside the target geofence.

In one embodiment, when determining the normal vector corresponding to each edge vector of the target geofence, it can be ensured that each normal vector points to the inside of the target geofence. Specifically, each edge vector of the target geofence When two adjacent boundary vertices are connected in a counterclockwise direction, each edge vector can be rotated 90° counterclockwise to obtain the corresponding normal vectors, so that each normal vector points to the inside of the target geofence; or, When each edge vector of the target geofence is formed by connecting two adjacent boundary vertices in a clockwise direction, each edge vector can be rotated 90° clockwise to obtain the corresponding normal vectors, so that each normal vector points to the described Inside the target geofence.

The vector formed by connecting the first location point and the target boundary vertex may be a first vector pointing from the target boundary vertex to the first location point. In this way, if the first location point is located in the target geofence inside, then the angle between the first vector and the target normal vector is an acute angle, that is, less than 90°. Correspondingly, the dot product of the first vector and the target normal vector is greater than 0. If the first vector If the location point is located outside the target geofence, then the angle between the first vector and the target normal vector is an obtuse angle, that is, greater than 90°. Correspondingly, the dot product of the first vector and the target normal vector is Less than 0.

Therefore, in this embodiment, by calculating the dot product of the first vector and the target normal vector and comparing it with 0, it can be determined whether the first location point is located inside or outside the target geofence. , specifically, when the dot product of the first vector and the target normal vector is greater than 0, it can be determined that the first location point is located inside the target geofence. When the dot product of the target normal vector is less than 0, it can be determined that the first location point is located outside the target geofence. In addition, it should be noted that in actual scenarios, there may also be situations where the electronic device is located at the boundary of the target geofence, that is, the angle between the first vector and the target normal vector is a right angle, which is equal to 90°. , therefore, it can be determined that the first location point is located at the boundary of the target geofence when the dot product of the first vector and the target normal vector is equal to 0.

In this way, in this embodiment, when each normal vector of the target geofence points to the inside of the target geofence, by comparing the vector pointing from the target boundary vertex to the first position point with the vector goal statement method Whether the dot product of the vector is greater than 0, the positional relationship between the current location point of the electronic device and the target geofence can be quickly determined. This method has a small amount of calculation and accurate calculation results.

The core invention of this application is to use the vector method to detect polygonal geofences. The following is a detailed introduction to the algorithm principle of using the vector method to determine whether point P is located inside a polygonal geofence.

Using the vector method to determine whether point P is located inside a polygonal geofence requires the following prerequisites:

1) The boundary vertex sequence of the polygonal geofence {P _n } = {P ₁ , P ₂ ,..., P _N } is arranged in a certain order. For the convenience of description, the boundary of the polygonal geofence can be specified in the technical solution of this application The vertex array is arranged in a counterclockwise direction; if it is arranged in a clockwise direction, the same function can be achieved through equivalent transformation;

2) The first and last items of the boundary vertex sequence of the polygonal geofence are the same, that is, P ₁ =P _N , which means that the shape of the polygonal geofence is closed.

In actual application scenarios, POI geofence data basically meets the above two conditions. The coordinates of each item in the polygonal geofence boundary vertex sequence can be set to P _i = (x _i , y _i ), i = 1, 2, 3..., N. Then the edge vector composed of two adjacent boundary vertices can be recorded as i＝1,2,3,…,N-1, edge vector The corresponding normal vector can be recorded as Since the boundary vertex array of the polygonal geofence is arranged in counterclockwise order, the normal vector can be considered It is obtained by rotating 90° counterclockwise based on the coordinate system where the boundary vertex data is located. The coordinate transformation formula is:

Among them, (x′, y′) is the coordinate value in the new coordinate system after coordinate rotation, and θ is the rotation angle. Here, the rotation angle corresponding to the normal vector is θ = π/2. Substituting into the above coordinate transformation formula, we can get the edge vector The corresponding normal vector for:

The edge vectors and corresponding normal vectors of the polygonal geofence can be shown in Figure 5. It can be seen from Figure 5 that the normal vectors corresponding to all the edge vectors of the polygonal geofence point to the inside of the polygonal geofence.

For any point P=(x,y), it can be seen that if point P is located inside the polygonal geofence, then the edge vector formed by point P and any boundary vertex Pi ( _i =1,2,...,N) The normal vector corresponding to the edge vector where the boundary vertex _Pi is located is an acute angle, that is, less than 90°; conversely, if point P is located outside the polygonal geofence, then the edge vector The normal vector corresponding to the edge vector where the vertex _Pi is located The angle between is an obtuse angle, that is, greater than 90°. If the included angle is equal to 90°, then point P is determined to be on the boundary of the polygonal geofence. And according to the dot product formula of vectors:

It can be seen that when the edge vector and normal vector When the angle θ is an acute angle, the dot product d>0; when the side vector and normal vector When the angle θ is an obtuse angle, the dot product d<0. And according to the edge vector The expression and normal vector of The expression of:

As well as the expression of vector dot product, we can get:

In this way, by solving the edge vector and normal vector The dot product can determine whether point P is in the polygon geofence internal. The whole process of vector method calculation only uses four simple arithmetic operations and does not involve complex calculation modes, which greatly reduces the amount of calculation and improves the performance of polygonal geofence detection.

In the embodiment of the present application, the calculation flow chart of using the vector method to determine whether point P is located inside a polygonal geofence is shown in Figure 6.

Optionally, after step 401 and before step 403, the method further includes:

Determine a circumscribed rectangular area of the target geofence, wherein all boundary vertices of the target geofence are located within the circumscribed rectangular area;

Determine the positional relationship between the first position point and the circumscribed rectangular area;

The step 403 includes:

When it is determined that the first position point is not located outside the circumscribed rectangular area, the first position point is determined based on the dot product of the connecting vector between the first position point and the target boundary vertex and the target normal vector. The location relationship to the target geofence.

In one implementation, considering that the polygon geofence detection algorithm is relatively complex, if the aforementioned vector method is directly used for polygon geofence detection on all positioning points, unnecessary computing power and power consumption will be consumed. Therefore, if the location point is far away from the polygon geofence, it is not necessary to directly use the polygon geofence detection algorithm to detect it. In this embodiment, the determination can be made based on the circumscribed rectangle of the polygonal geofence. If the positioning point is outside the circumscribing rectangle, there is no need to detect the polygonal geofence, and it can be directly determined that the positioning point is located outside the polygonal geofence.

Specifically, you can first determine the circumscribed rectangular area of the target geofence based on several outermost boundary vertices of the target geofence, for example, calculate the longitude and latitude of each position point in the sequence of boundary vertices of the polygonal geofence. The maximum and minimum values of , take the maximum and minimum values of longitude and the maximum and minimum values of latitude, and form the boundary of the circumscribed rectangle based on these four points.

After obtaining the first location point where the electronic device is currently located, the positional relationship between the first location point and the circumscribed rectangular area can be determined first, that is, it is determined whether the first location point is located in the circumscribed rectangle. Outside the area, if the first location point is located outside the circumscribed rectangular area, it can be directly determined that the first location point is located outside the target geofence, if the first location point is not located in the circumscribed rectangular area Externally, if the first position point is located inside the circumscribed rectangular area or at the boundary of the circumscribed rectangular area, then the subsequent step 403 can be continued, that is, further based on the connection vector between the first position point and the target boundary vertex. The dot product with the target normal vector determines the positional relationship between the first location point and the target geofence.

For example, for the current location point P, you can first determine whether point P is outside the circumscribed rectangle of the polygonal geofence. If the longitude of point P exceeds the maximum or minimum longitude of the circumscribed rectangle, or the latitude of point P exceeds the circumscribed rectangle. If the maximum or minimum value of the latitude of the rectangle is determined, it can be determined that point P is located outside the polygonal geofence; otherwise, whether point P is outside the polygonal geofence can be determined according to the aforementioned vector method.

It should be noted that if the coordinate system used for the position coordinates of the boundary vertices of the polygonal geofence is a non-geodestic coordinate system such as GCJ02, BD09, etc., the coordinates of each boundary vertex of the polygonal geofence need to be transformed. It is the internationally adopted geocentric coordinate system (World Geodetic System - 1984 Coordinate System, WGS84). Because only the WGS84 coordinate system is a linear coordinate system, it meets the prerequisites for polygon geofence detection through the vector method. That is, before generating the bounding rectangle of the polygonal geofence, the step of transforming the coordinates of the boundary vertices of the polygonal geofence can be performed. If the vertex coordinates of the polygonal geofence boundary adopt the WGS84 coordinate system, this step is not required. Among them, converting the GCJ02 or BD09 coordinate system to the WGS84 coordinate system can be done directly through the open source conversion plug-in.

The flow chart of this implementation can be shown in Figure 7, including the following steps:

Step 701: Transform the coordinates of the vertices of the polygonal geofence boundary.

If the vertex coordinates of the polygonal geofence boundary use the WGS84 coordinate system, ignore this step.

Step 702: Generate the bounding rectangle of the polygonal geofence.

Step 703: Determine whether point P is outside the enclosing rectangle.

If so, the determination point P is located outside the polygonal geofence; otherwise, step 704 is entered for the next step of determination.

Step 704: Determine whether point P is outside the polygonal geofence according to the vector method.

The specific identification steps can be seen in Figure 6.

In this way, in this embodiment, by pre-using the circumscribed rectangular area of the target geofence to determine the positioning point, the polygonal geofence detection algorithm can be simplified, the amount of calculation is reduced, the detection efficiency is improved, and the power consumption is reduced.

Optionally, before step 401, the method further includes:

When the electronic device is located inside the target geofence at the first time, store the second location point of the electronic device at the first time, and the first time is the time before the current time. ;

After step 401 and before step 403, the method further includes:

Determine the second vector and the first included angle, where the second vector is a vector from the second position point to the first position point, and the first included angle is the second vector and the rectangular coordinate The angle between the -y axis in the system;

According to the first included angle, coordinate transformation is performed on the boundary vertex of the target geofence to obtain the ordinate value of the boundary vertex of the target geofence in a second coordinate system, where the second coordinate system is The coordinate system after rotating the first included angle counterclockwise from the Cartesian coordinate system;

The target boundary vertex is determined according to the ordinate value of the boundary vertex of the target geofence in the second coordinate system and the ordinate value of the second location point in the second coordinate system, where, The target boundary vertex is located on a first side of a first normal line, the first normal line is perpendicular to the second vector, and the first position point is located on a first side of the first normal line.

It can be seen from the algorithm flow chart of determining whether point P is located inside a polygonal geofence based on the vector method shown in Figure 6 that if point P is located inside a polygonal geofence, all edge vectors and corresponding normal vectors need to be traversed Only after calculation can a conclusion be drawn. This is still very computationally intensive for polygonal geofences with complex boundaries and many boundary vertices. Therefore, in one implementation, based on the embodiment shown in Figure 6, edge vectors and corresponding normal vectors that do not need to be calculated can be identified, so that there is no need to traverse and calculate all edge vectors and corresponding normal vectors. normal vector, thereby further reducing the amount of calculation.

Assume that at time t ₀ , the electronic device user has entered the polygonal geofence, and its position is recorded as P(t ₀ ). The next positioning time is set to t ₁ (t ₀ <t ₁ ), and the positioning position at this time is recorded as P. (t ₁ ), now we want to detect whether the position P (t ₁ ) is inside the polygonal geofence.

The vector composed of the positioning positions of the two moments before and after is recorded as This vector represents the user's movement direction from time t ₀ to time t ₁ , and can be called a movement direction vector. As shown in Figure 8, a vector perpendicular to the direction of motion can be drawn through point P (t ₀ ) The straight line L is called the normal of the motion direction vector. Since point P(t ₀ ) is inside the polygonal geofence, this normal line L will divide the entire polygonal geofence into two parts. Correspondingly, the vertices on the boundary of the polygonal geofence will also be divided into two parts by this normal line. Two parts; with the normal L as the dividing line, one part of the vertices is located on the same side of the point P(t ₁ ), which is called the same-side vertex; the part of the vertex is located on different sides of the point P(t ₁ ), which is called the different-side vertex (such as Vertices marked with “×” in Figure 8).

As shown in Figure 8, for vertices on opposite sides, since point P(t ₀ ) is already located inside the polygonal geofence, it means that point P(t ₀ ) is already located inside the polygonal geofence compared with these vertices on opposite sides, and point P (t ₁ ) is farther away from the vertices on the opposite side than point P (t ₀ ). From the perspective of these vertices on the opposite side, point P (t ₁ ) is more likely to be located inside the polygonal geofence. Therefore, when it comes to judging whether the point P(t ₁ ) is located inside the polygonal geofence, these vertices on the opposite sides do not play a role in determining whether the point P(t 1 ) is located inside the polygonal geofence. Therefore, when using the vector method to detect the polygonal geofence, these vertices on the opposite sides can be ignored. and the corresponding edge vectors to simplify calculations.

Let's discuss how to identify vertices on different sides and vertices on the same side. What Figure 8 shows is an intuitive judgment of vertices on the opposite side and the same side from a geometric point of view, and is not an algorithmic language for computer recognition. Therefore, in specific implementation, identification through coordinate transformation may be considered. As shown in Figure 9, assuming the motion direction vector The angle between the negative half-axis of the y-axis of the plane rectangular coordinate system is φ, and the motion direction vector can be known The angle between the corresponding normal L and the positive x-axis of the plane rectangular coordinate system is also φ. If the normal L is used as the x* axis in the new coordinate system after coordinate transformation, it is equivalent to the rotation angle of the old and new coordinate systems. is φ, the coordinate system is rotated as shown in Figure 9.

Therefore, the coordinate rotation transformation formula can be:

Calculate the ordinate value (y* axis) of point P (t ₀ ) and all boundary vertices P ₁ to P ₁₀ in the new coordinate system, and record the coordinate value of point P (t ₀ ) in the y* axis direction of the new coordinate system. is y _t0 , if the ordinate value of a vertex from P ₁ to P ₁₀ in the new coordinate system is greater than y _t0 , it can be judged to be a vertex on the opposite side; otherwise, it can be judged to be a vertex on the same side.

Based on this, the flow chart of this implementation can be shown in Figure 10, including the following steps:

Step 1001: Cache the position point P(t ₀ ) located inside the polygonal geofence.

Step 1002: The electronic device initiates positioning at time t ₁ and obtains the positioning position P(t ₁ ) at that time.

The positioning method can be determined according to the specific environment of the target geofence. For example, if the geofence is outdoors, GPS can be used for positioning; if it is an indoor environment, network positioning can be initiated and positioned through WiFi or base station signals.

Step 1003: Calculate the motion direction vector and the corresponding angle.

Let the motion direction vector be The angle between the movement direction vector and the negative half-axis of the y-axis of the Cartesian coordinate system can be calculated as:

Step 1004: According to the coordinate conversion formula and the included angle φ, perform coordinate transformation on all vertices of the polygonal geofence boundary, and calculate the ordinate value y′ under the new coordinates.

Step 1005: Calculate the ordinate value y _t0 of point P(t ₀ ) under the new coordinates. Compare the values of y′ and y _t0 . If y′>y _t0 , the corresponding vertex is determined to be a vertex on the opposite side; otherwise, the corresponding vertex is determined to be a vertex on the same side.

Step 1006: Use the vector method to determine whether point P(t ₁ ) is located inside the polygonal geofence using vertices on the same side.

In this way, through this implementation, it is possible to avoid traversing all edge vectors for polygon geofence detection, further reducing the amount of calculation.

Further, the origin of the second coordinate system is the second position point, and the ordinate value of the second position point in the second coordinate system is 0;

The step 401 includes:

When the ordinate value of the first boundary vertex in the second coordinate system is less than or equal to 0, the first boundary vertex is determined to be the target boundary vertex, wherein the first boundary vertex is the Any boundary vertex in the target geofence;

When the ordinate value of the first boundary vertex in the second coordinate system is greater than 0, it is determined that the first boundary vertex is not the target boundary vertex.

In one implementation, the second position point at the previous moment can be used as the origin of the Cartesian coordinate system, and the Cartesian coordinate system is rotated counterclockwise to obtain the converted second coordinate system, so that the origin of the second coordinate system is the second position point, so the ordinate value of the second position point in the second coordinate system is 0. For example, the position point P(t ₀ ) at time t ₀ can be the origin of the new coordinate system after transformation, so that the ordinate value of P(t ₀ ) in the new coordinate system is 0.

In this way, based on the ordinate value of each boundary vertex of the target geofence in the second coordinate system and the ordinate value of the second location point in the second coordinate system, it is determined whether each boundary vertex is When it is the target boundary vertex (that is, whether it is a vertex on the same side), it is only necessary to compare the ordinate value of each boundary vertex in the second coordinate system with 0. Specifically, if a certain boundary vertex is in the If the ordinate value in the second coordinate system is greater than 0, it can be determined that the boundary vertex is a vertex on the opposite side, that is, it is not the target boundary vertex. On the contrary, if the ordinate value of a boundary vertex in the second coordinate system is less than or If equal to 0, it can be determined that the boundary vertex is the vertex on the same side, that is, it is the target boundary vertex.

In this way, in this embodiment, when the second position point is taken as the origin of the second coordinate system, so that the ordinate value of the second position point in the second coordinate system is 0, only By comparing whether the ordinate value of each boundary vertex of the target geofence in the second coordinate system is greater than 0, it can be quickly determined whether each boundary vertex is a target boundary vertex.

Optionally, before step 401, the method further includes:

In the case where the electronic device is located inside the target geofence at the second time, storing the electronic device At the third location point where the second time is located, the second time is the time before the current time;

According to the distances between the third location point and the boundary of the target geofence along the preset M directions, a spatial environment table is generated, wherein the spatial environment table stores a corresponding relationship between directions and distances. There is a preset angle between two adjacent directions in the M directions, and M is equal to 360 degrees divided by the preset angle;

After step 401 and before step 403, the method further includes:

Determine a first distance and a first direction of the first position point relative to the third position point;

Query the second distance corresponding to the first direction from the spatial environment table;

The step 403 includes:

When the first distance is greater than the second distance, the distance between the first position point and the target is determined based on the dot product of the connecting vector between the first position point and the target boundary vertex and the target normal vector. Geofence location relationships.

In actual application scenarios, after a user enters a geofence, he or she usually stays for a while and does not leave the geofence immediately. For example, a user is shopping in a shopping mall, and the user has been inside the polygonal geofence corresponding to the shopping mall during the shopping period. If the polygonal geofence detection algorithm is used for each positioning, each detection will consume a lot of time. Large amount of calculation. If the user calls applications such as indoor navigation while shopping, the frequency of positioning will increase, and the amount of calculation and power consumption will increase. Therefore, in this implementation, a simpler algorithm is proposed to cover this scenario.

The method designed in this embodiment is a method of exchanging space for time. Specifically, the user constructs the spatial environment of the polygonal geofence when entering the polygonal geofence for the first time, so that each time the user is positioned, only A simple calculation is required to determine whether you are still inside the polygonal geofence. Therefore, the core of this implementation is how to construct a spatial environment of polygonal geofences.

Assume that the user has entered the polygonal geofence at time t ₀ , and its position is recorded as P(t ₀ ). The next positioning time is set to t ₁ (t ₀ <t ₁ ), and the positioning position at this time is recorded as P(t ₁ ), when constructing the spatial environment of a polygonal geofence, specifically point P (t ₀ ) can be used as the starting point to score points at equal intervals along the specified direction vector. These points form a point sequence on the specified direction vector, which is recorded as The distance between two adjacent points in this point sequence is equal, then there will definitely be a point that is located outside the polygonal geofence. After that, all points in this sequence will be located outside the polygonal geofence, then this point is Switch the point so that the point before it is the last point inside the polygon geofence. Since the distances between points are equally spaced, the distance from point P(t ₀ ) to the polygonal geofence boundary on the direction vector ω can be calculated. Through this method, the distance from point P(t ₀ ) to the boundary of the polygonal geofence in all direction vectors can be calculated, as shown in Figure 11.

In this way, a spatial environment table of the polygonal geofence can be generated, which records the distance of the current point in all direction vectors. Specifically, the angle between two adjacent direction vectors can be set according to actual needs. For example, the angle between two adjacent direction vectors can be set to 15°, then the entire polygonal geofence space can be divided into 24 direction vectors. . The spatial environment table of the geofence can be shown in Table 1 below.

Table 1 Spatial environment table of polygonal geofences

In this way, after obtaining the positioning position P (t ₁ ) at the next moment, we only need to calculate the movement direction vector By querying the angle and distance in the spatial environment table, you can determine whether point P(t ₁ ) is located inside the polygonal geofence. If the motion direction vector When the modulus value (representing distance) is less than the distance on the direction vector in the spatial environment table, it can be determined that point P (t ₁ ) is inside the polygonal geofence; otherwise, the vector method can be restarted for further determination.

In this way, in this embodiment, by pre-establishing the spatial environment table of the target geofence, it is possible to check the table to determine whether the user is still inside the geofence based on the real-time positioning position. In the scenario where the user stays in a certain geofence for a long time, it is possible to further reduce the amount of calculation.

Further, when it is determined that the first location point is located inside the target geofence, the method further includes:

Determine the angle between the third vector and each of the M directions, wherein the third vector is a vector from the third position point to the first position point;

Determine the distance change value in each of the M directions according to the angle between the third vector and each of the M directions and the modulus of the third vector;

The spatial environment table is updated according to the distance change value in each of the M directions.

In the previous embodiment, after the positioning position is updated, if it is determined that the electronic device user is still inside the target geofence, the spatial environment table can be updated so that subsequent positioning positions can be based on the updated spatial environment table. Make more accurate judgments.

The specific method of updating can be: calculating the motion direction vector The angle α with each direction vector in the space environment table; calculate the motion direction vector The modulus value d′; calculate the distance change value Δd=d′×cosα in each direction vector; subtract Δd from the distance value corresponding to the direction vector number in each row of the spatial environment table, and the update is completed.

The flow chart of this embodiment can be shown in Figure 12, including the following steps:

Step 1201: Generate a spatial environment table.

Step 1202: Obtain the positioning position and calculate the modulus and direction of the user's motion direction vector.

Step 1203: Query the vector interval number in the direction of the motion direction vector from the space environment table.

Step 1204: Query the distance corresponding to the vector interval number.

Step 1205: Determine whether the modulus value of the motion direction vector is less than the distance queried in the spatial environment table. If so, directly determine that the point is located inside the polygonal geofence; otherwise, proceed to step 1206.

Step 1206: Start the vector method to detect polygonal geofences.

Step 1207: Update the space environment table.

The geofence detection method in the embodiment of the present application obtains the first location point where the electronic device is currently located; respectively determines each normal vector of the target geofence, wherein the target geofence is connected by N boundary vertices in a preset order Formed, the normal vector is perpendicular to the edge vector of the target geographical fence, the edge vector is a vector formed by connecting two adjacent boundary vertices of the target geographical fence, and N is an integer greater than 2; according to the first The dot product of the vector formed by connecting a position point and the target boundary vertex and the target normal vector determines the positional relationship between the first position point and the target geofence, wherein the target boundary vertex is in the target geofence. Some or all of the boundary vertices, the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex. In this way, the vector method is used to detect geofences on electronic devices, avoiding the complex operations involved in the traditional cross number method, and only using four simple arithmetic operations, which can effectively reduce the computational complexity of fence detection and greatly reduce calculations. quantity and improve detection efficiency.

For the geofence detection method provided by the embodiment of the present application, the execution subject may be a geofence detection device. In the embodiments of this application, the geofence detection method performed by the geofence detection device is used as an example to illustrate the geofence detection device provided by the embodiments of this application.

Please refer to Figure 13, which is a schematic structural diagram of a geofence detection device provided by an embodiment of the present application. As shown in Figure 13, the geofence detection device 1300 includes:

The acquisition module 1301 is used to acquire the first location point where the electronic device is currently located;

The first determination module 1302 is used to determine each normal vector of the target geographical fence, wherein the target geographical fence is formed by connecting N boundary vertices in a preset order, and the normal vector is the same as the edge vector of the target geographical fence. Vertical, the edge vector is a vector formed by connecting two adjacent boundary vertices of the target geofence, and N is an integer greater than 2;

The second determination module 1303 is configured to determine the positional relationship between the first position point and the target geofence based on the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector, where, The target boundary vertex is part or all of the boundary vertices in the target geofence, and the target normal vector is a normal vector perpendicular to an edge vector at the target boundary vertex.

Optionally, the geofence detection device 1300 also includes:

A third determination module, configured to determine the circumscribed rectangular area of the target geofence, wherein all boundary vertices of the target geofence are located within the circumscribed rectangular area;

The fourth determination module is used to determine the positional relationship between the first position point and the circumscribed rectangular area;

The second determination module is configured to determine based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector when it is determined that the first position point is not located outside the circumscribed rectangular area. , determine the positional relationship between the first location point and the target geofence.

Optionally, the normal vector points to the interior of the target geofence;

The second determination module 1303 includes:

A first determination unit configured to determine that the first location point is located inside the target geofence when the dot product of the first vector and the target normal vector is greater than 0, wherein the first vector is A vector from the target boundary vertex pointing to the first position point;

A second determination unit configured to determine that the first location point is located outside the target geofence when the dot product of the first vector and the target normal vector is less than 0.

Optionally, the geofence detection device 1300 also includes:

A first storage module configured to store the second location point of the electronic device at the first time when the electronic device is located inside the target geofence at the first time, the first The time is the time before the current time;

The fifth determination module is used to determine the second vector and the first included angle, wherein the second vector is a vector from the second position point to the first position point, and the first included angle is the The angle between the second vector and the -y axis in the Cartesian coordinate system;

A coordinate conversion module configured to perform coordinate conversion on the boundary vertex of the target geofence according to the first included angle to obtain the ordinate value of the boundary vertex of the target geofence in the second coordinate system, wherein: The second coordinate system is a coordinate system obtained by rotating the rectangular coordinate system counterclockwise by the first included angle;

The sixth determination module is used to determine the ordinate value of the boundary vertex of the target geofence in the second coordinate system and the ordinate value of the second location point in the second coordinate system. The target boundary vertex, wherein the target boundary vertex is located on a first side of a first normal line, the first normal line is perpendicular to the second vector, and the first position point is located on the first side of the first normal line First side.

Optionally, the origin of the second coordinate system is the second position point, and the ordinate value of the second position point in the second coordinate system is 0;

The sixth determination module includes:

A third determination unit configured to determine that the first boundary vertex is the target boundary vertex when the ordinate value of the first boundary vertex in the second coordinate system is less than or equal to 0, wherein, The first boundary vertex is any boundary vertex in the target geofence;

A fourth determination unit configured to determine that the first boundary vertex is not the target boundary vertex when the ordinate value of the first boundary vertex in the second coordinate system is greater than 0.

Optionally, the geofence detection device 1300 also includes:

A second storage module configured to store the third location point of the electronic device at the second time when the electronic device is located inside the target geofence at the second time. The time is the time before the current time;

A generation module configured to generate a spatial environment table according to the distances between the third location point and the boundary of the target geofence along the preset M directions, wherein the spatial environment table stores directions and distances. Correspondingly, two adjacent directions among the M directions are separated by a preset angle, and M is equal to 360 degrees divided by the preset angle.

A seventh determination module, used to determine the first distance and the first direction of the first position point relative to the third position point;

A query module, used to query the second distance corresponding to the first direction from the spatial environment table;

The second determination module 1303 is configured to determine the first distance based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector when the first distance is greater than the second distance. The positional relationship between a location point and the target geofence.

Optionally, the geofence detection device 1300 also includes:

An eighth determination module, configured to determine the angle between the third vector and each of the M directions respectively when it is determined that the first location point is located inside the target geofence, wherein the third vector The vector is a vector from the third position point to the first position point;

A ninth determination module, configured to determine the distance change value in each of the M directions according to the angle between the third vector and each of the M directions and the modulus of the third vector;

An update module, configured to update the spatial environment table according to the distance change value in each of the M directions.

The geofence detection device 1300 in the embodiment of the present application obtains the first location point where the electronic device is currently located; and determines each normal vector of the target geofence, wherein the target geofence consists of N boundary vertices in a preset order The connection is formed, the normal vector is perpendicular to the edge vector of the target geographical fence, the edge vector is a vector formed by connecting two adjacent boundary vertices of the target geographical fence, and N is an integer greater than 2; according to the The dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector determines the positional relationship between the first position point and the target geofence, wherein the target boundary vertex is the target geofence At some or all of the boundary vertices in , the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex. In this way, the vector method is used to detect geofences on electronic devices, avoiding the complex operations involved in the traditional cross number method, and only using four simple arithmetic operations, which can effectively reduce the computational complexity of fence detection and greatly reduce calculations. quantity and improve detection efficiency.

The geofence detection device in the embodiment of the present application may be an electronic device or a component of the electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, the electronic device can be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a mobile Internet device (MID), or an augmented reality (Augmented Reality, AR)/virtual reality (Virtual Reality, VR) ) equipment, robots, wearable devices, ultra-mobile personal computers (Ultra-Mobile Personal Computer, UMPC), netbooks or personal digital assistants (Personal Digital Assistant, PDA), etc., and can also be servers, network attached storage (Network Attached Storage, NAS), personal computer (Personal Computer, PC), television (Television, TV), teller machine or self-service machine, etc., the embodiments of this application are not specifically limited.

The geofence detection device in the embodiment of the present application may be a device with an operating system. The operating system can be an Android operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of this application.

The geofence detection device provided by the embodiment of the present application can implement various processes implemented by the embodiments of Figures 4 to 12. To avoid duplication, they will not be described again here.

Optionally, as shown in Figure 14, this embodiment of the present application also provides an electronic device 1400, including a processor 1401 and a memory 1402. The memory 1402 stores programs or instructions that can be run on the processor 1401. When the program or instruction is executed by the processor 1401, each step of the above geofence detection method embodiment is implemented and the same technical effect can be achieved. To avoid duplication, the details will not be described here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

Figure 15 is a schematic diagram of the hardware structure of an electronic device that implements an embodiment of the present application.

The electronic device 1500 includes but is not limited to: radio frequency unit 1501, network module 1502, audio output unit 1503, input unit 1504, sensor 1505, display unit 1506, user input unit 1507, interface unit 1508, memory 1509, processor 1510, etc. part.

Those skilled in the art can understand that the electronic device 1500 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 1510 through a power management system, thereby managing charging, discharging, and function through the power management system. Consumption management and other functions. The structure of the electronic device shown in Figure 15 does not constitute a limitation of the electronic device. The electronic device may include more or less components than shown in the figure, or combine certain components, or arrange different components, which will not be described again here. .

Among them, processor 1510 is used for:

Obtain the first location point where the electronic device is currently located;

Determine each normal vector of the target geofence respectively, wherein the target geofence is formed by connecting N boundary vertices in a preset order, the normal vector is perpendicular to the edge vector of the target geofence, and the edge vector is The vector formed by connecting two adjacent boundary vertices of the target geofence, N is an integer greater than 2;

The positional relationship between the first position point and the target geofence is determined according to the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector, wherein the target boundary vertex is the For some or all boundary vertices in the target geofence, the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex.

Optionally, processor 1510 is also used to:

Determine a circumscribed rectangular area of the target geofence, wherein all boundary vertices of the target geofence are located within the circumscribed rectangular area;

Determine the positional relationship between the first position point and the circumscribed rectangular area;

When it is determined that the first position point is not located outside the circumscribed rectangular area, the first position point is determined based on the dot product of the connecting vector between the first position point and the target boundary vertex and the target normal vector. The location relationship to the target geofence.

Optionally, the normal vector points to the interior of the target geofence;

Processor 1510, also used for:

When the dot product of the first vector and the target normal vector is greater than 0, it is determined that the first location point is located inside the target geofence, wherein the first vector points from the target boundary vertex to the target geofence. Describe the direction of the first position point quantity;

When the dot product of the first vector and the target normal vector is less than 0, it is determined that the first location point is located outside the target geofence.

Optionally, processor 1510 is also used to:

When the electronic device is located inside the target geofence at the first time, store the second location point of the electronic device at the first time, and the first time is the time before the current time. ;

Determine the second vector and the first included angle, where the second vector is a vector from the second position point to the first position point, and the first included angle is the second vector and the rectangular coordinate The angle between the -y axis in the system;

According to the first included angle, coordinate transformation is performed on the boundary vertex of the target geofence to obtain the ordinate value of the boundary vertex of the target geofence in a second coordinate system, where the second coordinate system is The coordinate system after rotating the first included angle counterclockwise from the Cartesian coordinate system;

The target boundary vertex is determined according to the ordinate value of the boundary vertex of the target geofence in the second coordinate system and the ordinate value of the second location point in the second coordinate system, where, The target boundary vertex is located on a first side of a first normal line, the first normal line is perpendicular to the second vector, and the first position point is located on a first side of the first normal line.

Optionally, the origin of the second coordinate system is the second position point, and the ordinate value of the second position point in the second coordinate system is 0;

Processor 1510, also used for:

When the ordinate value of the first boundary vertex in the second coordinate system is less than or equal to 0, the first boundary vertex is determined to be the target boundary vertex, wherein the first boundary vertex is the Any boundary vertex in the target geofence;

When the ordinate value of the first boundary vertex in the second coordinate system is greater than 0, it is determined that the first boundary vertex is not the target boundary vertex.

Optionally, processor 1510 is also used to:

When the electronic device is located inside the target geofence at the second time, store the third location point of the electronic device at the second time, and the second time is the time before the current time. ;

According to the distances between the third location point and the boundary of the target geofence along the preset M directions, a spatial environment table is generated, wherein the spatial environment table stores a corresponding relationship between directions and distances. There is a preset angle between two adjacent directions in the M directions, and M is equal to 360 degrees divided by the preset angle;

Determine a first distance and a first direction of the first position point relative to the third position point;

Query the second distance corresponding to the first direction from the spatial environment table;

When the first distance is greater than the second distance, the distance between the first position point and the target is determined based on the dot product of the connecting vector between the first position point and the target boundary vertex and the target normal vector. Geofence location relationships.

Optionally, processor 1510 is also used to:

Determine the angle between the third vector and each of the M directions, where the third vector is a vector from the third position point pointing to the first position point;

Determine the distance change value in each of the M directions according to the angle between the third vector and each of the M directions and the modulus of the third vector;

The spatial environment table is updated according to the distance change value in each of the M directions.

The electronic device in the embodiment of the present application obtains the first position point where the electronic device is currently located; and determines each normal vector of the target geofence, wherein the target geofence is formed by connecting N boundary vertices in a preset order, The normal vector is perpendicular to the edge vector of the target geofence, the edge vector is a vector formed by connecting two adjacent boundary vertices of the target geofence, and N is an integer greater than 2; according to the first position The dot product of the vector formed by connecting the point and the target boundary vertex and the target normal vector determines the positional relationship between the first position point and the target geofence, wherein the target boundary vertex is part of the target geofence. Or all boundary vertices, the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex. In this way, the vector method is used to detect geofences on electronic devices, avoiding the complex operations involved in the traditional cross number method, and only using four simple arithmetic operations, which can effectively reduce the computational complexity of fence detection and greatly reduce calculations. quantity and improve detection efficiency.

It should be understood that in the embodiment of the present application, the input unit 1504 may include a graphics processor (Graphics Processing Unit, GPU) 15041 and a microphone 15042. The graphics processor 15041 is responsible for the image capture device (GPU) in the video capture mode or the image capture mode. Process the image data of still pictures or videos obtained by cameras (such as cameras). The display unit 1506 may include a display panel 15061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1507 includes a touch panel 15071 and at least one of other input devices 15072 . Touch panel 15071, also known as touch screen. The touch panel 15071 may include two parts: a touch detection device and a touch controller. Other input devices 15072 may include but are not limited to physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

Memory 1509 may be used to store software programs as well as various data. The memory 1509 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 1509 may include volatile memory or nonvolatile memory, or memory 1509 may include both volatile and nonvolatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). Memory 1509 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 1510 may include one or more processing units; optionally, the processor 1510 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 1510.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above geofence detection method embodiment is implemented, and can achieve The same technical effects are not repeated here to avoid repetition. Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the above embodiments of the geofence detection method. Each process can achieve the same technical effect. To avoid repetition, we will not go into details here. It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-a-chip or system-on-chip, etc.

Embodiments of the present application provide a computer program product. The program product is stored in a storage medium. The program product is executed by at least one processor to implement each process of the above geofence detection method embodiment, and can achieve the same technology. The effect will not be described here to avoid repetition.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples. Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product in essence or in other words, the part that contributes to the technology in related technologies. The computer software product is stored in a storage medium (such as ROM/RAM, magnetic disc, optical disk), including several instructions to cause a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of this application. The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims (19)

1. A geofence detection method including:

   Obtain the first location point where the electronic device is currently located;

   Determine each normal vector of the target geofence respectively, wherein the target geofence is formed by connecting N boundary vertices in a preset order, the normal vector is perpendicular to the edge vector of the target geofence, and the edge vector is The vector formed by connecting two adjacent boundary vertices of the target geofence, N is an integer greater than 2;

   The positional relationship between the first position point and the target geofence is determined according to the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector, wherein the target boundary vertex is the For some or all boundary vertices in the target geofence, the target normal vector is a normal vector perpendicular to the edge vector at the target boundary vertex.
2. The method according to claim 1, wherein after obtaining the first position point where the electronic device is currently located, the method is based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector. , before determining the positional relationship between the first location point and the target geofence, the method further includes:

   Determine a circumscribed rectangular area of the target geofence, wherein all boundary vertices of the target geofence are located within the circumscribed rectangular area;

   Determine the positional relationship between the first position point and the circumscribed rectangular area;

   Determining the positional relationship between the first position point and the target geofence based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector includes:

   When it is determined that the first position point is not located outside the circumscribed rectangular area, the first position point is determined based on the dot product of the connecting vector between the first position point and the target boundary vertex and the target normal vector. The location relationship to the target geofence.
3. The method of claim 1, wherein the normal vector points into the interior of the target geofence;

   Determining the positional relationship between the first position point and the target geofence based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector includes:

   When the dot product of the first vector and the target normal vector is greater than 0, it is determined that the first location point is located inside the target geofence, wherein the first vector points from the target boundary vertex to the target geofence. The vector of the first position point;

   When the dot product of the first vector and the target normal vector is less than 0, it is determined that the first location point is located outside the target geofence.
4. The method according to any one of claims 1 to 3, wherein before obtaining the first location point where the electronic device is currently located, the method further includes:

   When the electronic device is located inside the target geofence at the first time, store the second location point of the electronic device at the first time, and the first time is the time before the current time. ;

   After obtaining the first location point where the electronic device is currently located, the method determines whether the first location point and the target boundary are Before determining the positional relationship between the first position point and the target geofence based on the dot product of the connection vector of the vertex and the target normal vector, the method further includes:

   Determine the second vector and the first included angle, where the second vector is a vector from the second position point to the first position point, and the first included angle is the second vector and the rectangular coordinate The angle between the -y axis in the system;

   According to the first included angle, coordinate transformation is performed on the boundary vertex of the target geofence to obtain the ordinate value of the boundary vertex of the target geofence in a second coordinate system, where the second coordinate system is The coordinate system after rotating the first included angle counterclockwise from the Cartesian coordinate system;

   The target boundary vertex is determined according to the ordinate value of the boundary vertex of the target geofence in the second coordinate system and the ordinate value of the second location point in the second coordinate system, where, The target boundary vertex is located on a first side of a first normal line, the first normal line is perpendicular to the second vector, and the first position point is located on a first side of the first normal line.
5. The method according to claim 4, wherein the origin of the second coordinate system is the second position point, and the ordinate value of the second position point in the second coordinate system is 0;

   Determining the target boundary vertex based on the ordinate value of the boundary vertex of the target geofence in the second coordinate system and the ordinate value of the second location point in the second coordinate system, include:

   When the ordinate value of the first boundary vertex in the second coordinate system is less than or equal to 0, the first boundary vertex is determined to be the target boundary vertex, wherein the first boundary vertex is the Any boundary vertex in the target geofence;

   When the ordinate value of the first boundary vertex in the second coordinate system is greater than 0, it is determined that the first boundary vertex is not the target boundary vertex.
6. The method according to any one of claims 1 to 3, wherein before obtaining the first location point where the electronic device is currently located, the method further includes:

   When the electronic device is located inside the target geofence at the second time, store the third location point of the electronic device at the second time, and the second time is the time before the current time. ;

   According to the distances between the third location point and the boundary of the target geofence along the preset M directions, a spatial environment table is generated, wherein the spatial environment table stores a corresponding relationship between directions and distances. There is a preset angle between two adjacent directions in the M directions, and M is equal to 360 degrees divided by the preset angle;

   After obtaining the first position point where the electronic device is currently located, determining the first position point and the target normal vector based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector. Before determining the location relationship of the target geofence, the method further includes:

   Determine a first distance and a first direction of the first position point relative to the third position point;

   Query the second distance corresponding to the first direction from the spatial environment table;

   Determining the positional relationship between the first position point and the target geofence based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector includes:

   In the case where the first distance is greater than the second distance, according to the relationship between the first position point and the target boundary vertex, The dot product of the connection vector and the target normal vector determines the positional relationship between the first position point and the target geofence.
7. The method of claim 6, wherein, if it is determined that the first location point is located inside the target geofence, the method further includes:

   Determine the angle between the third vector and each of the M directions, wherein the third vector is a vector from the third position point to the first position point;

   Determine the distance change value in each of the M directions according to the angle between the third vector and each of the M directions and the modulus of the third vector;

   The spatial environment table is updated according to the distance change value in each of the M directions.
8. A geofence detection device including:

   The acquisition module is used to acquire the first position point where the electronic device is currently located;

   The first determination module is used to determine each normal vector of the target geographical fence, wherein the target geographical fence is formed by connecting N boundary vertices in a preset order, and the normal vector is perpendicular to the edge vector of the target geographical fence. , the edge vector is a vector formed by connecting two adjacent boundary vertices of the target geofence, and N is an integer greater than 2;

   The second determination module is used to determine the positional relationship between the first position point and the target geofence according to the dot product of the vector formed by connecting the first position point and the target boundary vertex and the target normal vector, wherein, The target boundary vertex is part or all of the boundary vertices in the target geofence, and the target normal vector is a normal vector perpendicular to an edge vector at the target boundary vertex.
9. The geofence detection device according to claim 8, wherein the geofence detection device further includes:

   A third determination module, configured to determine the circumscribed rectangular area of the target geofence, wherein all boundary vertices of the target geofence are located within the circumscribed rectangular area;

   The fourth determination module is used to determine the positional relationship between the first position point and the circumscribed rectangular area;

   The second determination module is configured to determine based on the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector when it is determined that the first position point is not located outside the circumscribed rectangular area. , determine the positional relationship between the first location point and the target geofence.
10. The geofence detection device of claim 8, wherein the normal vector points inside the target geofence;

    The second determination module includes:

    A first determination unit configured to determine that the first location point is located inside the target geofence when the dot product of the first vector and the target normal vector is greater than 0, wherein the first vector is A vector from the target boundary vertex pointing to the first position point;

    A second determination unit configured to determine that the first location point is located outside the target geofence when the dot product of the first vector and the target normal vector is less than 0.
11. The geofence detection device according to any one of claims 8 to 10, wherein the geofence detection device further includes:

    A first storage module configured to, when the electronic device is located inside the target geofence at the first moment, Store the second location point where the electronic device is at the first time, and the first time is the time before the current time;

    The fifth determination module is used to determine the second vector and the first included angle, wherein the second vector is a vector from the second position point to the first position point, and the first included angle is the The angle between the second vector and the -y axis in the Cartesian coordinate system;

    A coordinate conversion module configured to perform coordinate conversion on the boundary vertex of the target geofence according to the first included angle to obtain the ordinate value of the boundary vertex of the target geofence in the second coordinate system, wherein: The second coordinate system is a coordinate system obtained by rotating the rectangular coordinate system counterclockwise by the first included angle;

    The sixth determination module is used to determine the ordinate value of the boundary vertex of the target geofence in the second coordinate system and the ordinate value of the second location point in the second coordinate system. The target boundary vertex, wherein the target boundary vertex is located on a first side of a first normal line, the first normal line is perpendicular to the second vector, and the first position point is located on the first side of the first normal line First side.
12. The geofence detection device according to claim 11, wherein the origin of the second coordinate system is the second position point, and the ordinate value of the second position point in the second coordinate system is 0. ;

    The sixth determination module includes:

    A third determination unit configured to determine that the first boundary vertex is the target boundary vertex when the ordinate value of the first boundary vertex in the second coordinate system is less than or equal to 0, wherein, The first boundary vertex is any boundary vertex in the target geofence;

    A fourth determination unit configured to determine that the first boundary vertex is not the target boundary vertex when the ordinate value of the first boundary vertex in the second coordinate system is greater than 0.
13. The geofence detection device according to any one of claims 8 to 10, wherein the geofence detection device further includes:

    A second storage module configured to store the third location point of the electronic device at the second time when the electronic device is located inside the target geofence at the second time. The time is the time before the current time;

    A generation module configured to generate a spatial environment table according to the distances between the third location point and the boundary of the target geofence along the preset M directions, wherein the spatial environment table stores directions and distances. Corresponding relationship, two adjacent directions among the M directions are separated by a preset angle, and M is equal to 360 degrees divided by the preset angle;

    A seventh determination module, used to determine the first distance and the first direction of the first position point relative to the third position point;

    A query module, used to query the second distance corresponding to the first direction from the spatial environment table;

    The second determination module is configured to determine, when the first distance is greater than the second distance, the dot product of the connection vector between the first position point and the target boundary vertex and the target normal vector. The positional relationship between the first location point and the target geofence.
14. The geofence detection device according to claim 13, wherein the geofence detection device further includes:

    An eighth determination module, configured to determine the angle between the third vector and each of the M directions respectively when it is determined that the first location point is located inside the target geofence, wherein the third vector The vector is a vector from the third position point to the first position point;

    A ninth determination module, configured to determine the distance change value in each of the M directions according to the angle between the third vector and each of the M directions and the modulus of the third vector;

    An update module, configured to update the spatial environment table according to the distance change value in each of the M directions.
15. An electronic device, including a processor and a memory, the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, any one of claims 1-7 is implemented. The steps of the geofence detection method described in Item 1.
16. An electronic device, the electronic device is used to perform the geofence detection method according to any one of claims 1-7.
17. A readable storage medium on which a program or instructions are stored. When the program or instructions are executed by a processor, the steps of the geofence detection method according to any one of claims 1 to 7 are implemented.
18. A chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the geographic location as described in any one of claims 1-7. Fence detection methods.
19. A computer program product, the computer program product is stored in a storage medium, and the computer program product is executed by at least one processor to implement the geofence detection method according to any one of claims 1-7.