A method, system and device for determining specifications of poison bait stations based on poison bait station positioning

Abstract

The embodiment of the present application discloses a method, system and device for determining the specifications of a poison bait station based on the positioning of the poison bait station, including: obtaining the historical mouse catching records, positioning information and electronic map of the target area of ​​each poison bait station in the target area, and determining the distance of the poison bait station associated with the scene type of the target area, and determining the target poison bait station in the target area that exceeds the preset mouse catching amount according to the historical mouse catching records; judging whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station, and if so, determining the regional boundary distance from the first boundary point to the second boundary point in the risk area according to the electronic map; calculating the target poison material weight according to the ratio of the poison bait station distance to the regional boundary distance and the current specifications of the target poison bait station, and determining the target poison bait station specifications associated with the target poison material weight as the poison bait station specifications of the target poison bait station. The matching degree between the location of the poison bait station and the specifications of the poison bait station is improved, and the accuracy of determining the specifications of the poison bait station is also improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of data processing technology, and in particular to a method, system and device for determining specifications of a poison bait station based on poison bait station positioning. Background Art

[0002] With the continuous development of pest control technology, poison bait stations, as one of the most common and effective means of rodent and insect control, have been widely used in the streets and alleys of cities, in the fields of rural areas, as well as in various places such as warehouses, farms, and parks due to their remarkable results. Reasonable management and layout of poison bait stations can provide strong support for people to resist the invasion of pests, and also play an indispensable role in maintaining environmental hygiene, ensuring the growth of crops, and reducing the risk of disease transmission.

[0003] In the related art, during the installation of poison bait stations, fixed specifications of the poison bait stations are usually determined based on a preset installation distance of the poison bait stations. However, due to differences in installation locations, the installation locations of the poison bait stations and the corresponding specifications of the poison bait stations may not match. In addition, due to environmental differences in the target area, the determined specifications of the poison bait stations may be inaccurate. Summary of the invention

[0004] The embodiments of the present application provide a method, system and device for determining the specifications of a poison bait station based on the positioning of the poison bait station, which solves the problem of mismatch between the installation location of the poison bait station and the corresponding specifications of the poison bait station and inaccurate specifications of the determined poison bait station. It can determine the target poison bait station that exceeds the preset mouse capture amount based on the historical mouse capture records, and determine the risk area based on the positioning information of the target poison bait station, and configure reasonable poison bait station specifications based on the regional boundary distance of the risk area, thereby improving the matching degree between the location of the poison bait station and the specifications of the poison bait station, and also improving the accuracy of determining the specifications of the poison bait station.

[0005] In a first aspect, an embodiment of the present application provides a method for determining specifications of a poison bait station based on poison bait station positioning, comprising:

[0006] Obtaining historical mouse-catching records, location information, and an electronic map of each poison bait station in a target area, and determining distances of poison bait stations associated with a scene type in the target area, and determining target poison bait stations in the target area that exceed a preset mouse-catching amount based on the historical mouse-catching records;

[0007] Determining whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station, and if there is a risk area associated with the target poison bait station, determining a region boundary distance from a first boundary point to a second boundary point in the risk area according to the electronic map;

[0008] The target poison material weight is calculated according to the ratio of the poison bait station distance to the area boundary distance and the current specification of the target poison bait station, and the target poison bait station specification associated with the target poison material weight is determined as the poison bait station specification of the target poison bait station.

[0009] Optionally, judging whether there is a risk area associated with the target poison bait station according to the location information of the target poison bait station includes:

[0010] Determine a first adjacent poison bait station to the target poison bait station according to the positioning information of the target poison bait station, determine the interval distance between the target poison bait station and the first adjacent poison bait station, determine whether the interval distance matches a preset minimum boundary distance, and determine a target sub-area based on the determination result;

[0011] Identify whether there is an area with a preset risk mark in the target sub-area. If there is no area with a preset risk mark in the target sub-area, determine that there is no risk area associated with the target poison bait station. If there is an area with a preset risk mark in the target sub-area, determine that there is a risk area associated with the target poison bait station.

[0012] Optionally, the determining whether the interval distance matches a preset minimum boundary distance, and determining the target sub-area based on the determination result includes:

[0013] comparing the interval distance with the minimum boundary distance, and if the interval distance is greater than or equal to the preset minimum boundary distance, the interval distance does not match the minimum boundary distance, and determining the area between the target poison bait station and the first adjacent poison bait station as a target sub-area;

[0014] When the interval distance is less than the preset minimum boundary distance, the interval distance matches the minimum boundary distance, a second adjacent poison bait station next adjacent to the first adjacent poison bait station is determined, and an area between the target poison bait station and the second adjacent poison bait station is determined as a target sub-area.

[0015] Optionally, determining the area boundary distance from the first boundary point to the second boundary point in the risk area according to the electronic map includes:

[0016] Displaying the area border of the risk area on the electronic map, and generating a poison bait station deployment trajectory according to the positioning information of each poison bait station in the target area displayed on the electronic map;

[0017] A plurality of points where the area border overlaps with the deployment trajectory of the poison bait station are determined as a plurality of boundary points of the risk area, a first boundary point and a second boundary point among the plurality of boundary points are determined according to the positioning information of each boundary point, and a regional boundary distance from the first boundary point to the second boundary point is determined.

[0018] Optionally, determining the first boundary point and the second boundary point among the multiple boundary points according to the positioning information of each boundary point includes:

[0019] The straight-line distance between any two boundary points is determined according to the positioning information of each boundary point, and the two boundary points corresponding to the maximum straight-line distance are respectively determined as the first boundary point and the second boundary point.

[0020] Optionally, determining the area boundary distance from the first boundary point to the second boundary point includes:

[0021] The length of the poison bait station deployment trajectory between the first boundary point and the second boundary point is determined as the area boundary distance from the first boundary point to the second boundary point.

[0022] Optionally, when there is no risk area associated with the target poison bait station, the target poison bait station specification associated with the current specification of the target poison bait station is determined as the poison bait station specification of the target poison bait station.

[0023] In a second aspect, an embodiment of the present application provides a system for determining specifications of a poison bait station based on poison bait station positioning, including:

[0024] An information acquisition module, used to acquire historical mouse-catching records, location information and an electronic map of each poison bait station in a target area, and determine the distance of the poison bait station associated with the scene type of the target area;

[0025] A target poison bait station determination module, used to determine the target poison bait station in the target area that exceeds a preset mouse capture amount according to the historical mouse capture record;

[0026] an area boundary distance determination module, configured to determine whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station, and if there is a risk area associated with the target poison bait station, determine the area boundary distance from the first boundary point to the second boundary point in the risk area according to the electronic map;

[0027] The poison bait station specification determination module is used to calculate the target poison material weight according to the ratio of the poison bait station distance to the area boundary distance and the current specification of the target poison bait station, and determine the target poison bait station specification associated with the target poison material weight as the poison bait station specification of the target poison bait station.

[0028] In a third aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors; a storage device configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining poison bait station specifications based on poison bait station positioning as described in the first aspect.

[0029] In a fourth aspect, an embodiment of the present application provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to perform the method for determining poison bait station specifications based on poison bait station positioning as described in the first aspect.

[0030] The embodiment of the present application obtains the historical mouse-catching records, positioning information and electronic map of each poison bait station in the target area, and determines the distance of the poison bait station associated with the scene type of the target area, and determines the target poison bait station in the target area that exceeds the preset mouse-catching amount according to the historical mouse-catching records; determines whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station, and in the case of a risk area associated with the target poison bait station, determines the regional boundary distance from the first boundary point to the second boundary point in the risk area according to the electronic map; calculates the target poison material weight according to the ratio of the poison bait station distance to the regional boundary distance and the current specifications of the target poison bait station, and determines the target poison bait station specifications associated with the target poison material weight as the poison bait station specifications of the target poison bait station. It is possible to determine the target poison bait station that exceeds the preset mouse-catching amount according to the historical mouse-catching records, determine the risk area based on the positioning information of the target poison bait station, and configure reasonable poison bait station specifications based on the regional boundary distance of the risk area, thereby improving the matching degree between the poison bait station position and the poison bait station specifications, and also improving the accuracy of determining the poison bait station specifications. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a flow chart of a method for determining specifications of a poison bait station based on poison bait station positioning provided by an embodiment of the present application;

[0032] Figure 2 This is a flow chart of a method for determining an associated risk area provided by the present application in real time;

[0033] Figure 3 This is a schematic diagram of a poison bait station marking provided in an embodiment of the present application;

[0034] Figure 4 is a flow chart of a method for determining a region boundary distance provided in an embodiment of the present application;

[0035] Figure 5 It is a schematic diagram showing a deployment trajectory of a poison bait station and a risk area provided in an embodiment of the present application;

[0036] Figure 6It is a structural schematic diagram of a system for determining specifications of a poison bait station based on poison bait station positioning provided in an embodiment of the present application;

[0037] Figure 7 It is a structural schematic diagram of a device for determining specifications of a poison bait station based on poison bait station positioning provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only part of the present application is shown in the accompanying drawings, but not all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0039] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0040] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0041] In conjunction with the accompanying drawings, the method, system and device for determining the specifications of a poison bait station based on poison bait station positioning provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0042] The method for determining the specifications of a poison bait station based on the positioning of the poison bait station provided in the embodiment of the present application can be used in the scenario of managing the poison bait station, such as reasonably replacing the installed poison bait station so that the specifications of the replaced poison bait station better meet the environmental requirements. Based on the above application scenario, it can be understood that the execution subject of this solution can be a server.

[0043] Figure 1 is a flow chart of a method for determining poison bait station specifications based on poison bait station positioning provided by an embodiment of the present application, such as Figure 1 As shown, including:

[0044] Step S101, obtaining historical mouse catching records, positioning information and an electronic map of each poison bait station in a target area, and determining the distance of the poison bait station associated with the scene type of the target area, and determining the target poison bait station in the target area that exceeds a preset mouse catching amount based on the historical mouse catching records.

[0045] Among them, the target area may refer to a predetermined area that needs to be managed by a poison bait station, and the target area may be obtained by dividing the area according to the preset area. A poison bait station is a device specially designed for long-term feeding of poison bait to rats, and is usually deployed according to the habit of rats to dig holes and feed in hidden places. The historical mouse catching record is used to record the mouse catching situation of each poison bait station in the target area in a historical period, such as the daily mouse catching volume of the poison bait station. The positioning information may be the location information collected by a positioning device installed on the poison bait station. For example, when collecting positioning information, the positioning information of the poison bait station may be collected by the satellite positioning technology of the Beidou satellite navigation system. The electronic map of the target area can be used to represent the geographic spatial information of the target area, including topography, roads, buildings, water systems, administrative divisions and other elements and their interrelationships, such as the relative orientation between two locations and the distance between two locations. The scene type can be used to represent the actual scene in which the poison bait station is installed in the target area, such as indoor scenes, outdoor scenes, parks, garages, and basements. Due to the different environments of different scene types, the rat density is also different, so the installation distances of the poison bait stations corresponding to different scene types are also different. The association between different scene types and the installation distances of the poison bait stations can be predetermined based on the actual situation, where the distance between the poison bait stations refers to the distance between two adjacent poison bait stations. The target poison bait station refers to a poison bait station with a historical average rat catch that is too large. The target poison bait station can be determined by comparing the historical average rat catch with the preset rat catch, where the historical average rat catch can be used to represent the historical average number of rats caught per day.

[0046] In one embodiment, historical mouse catching records, location information, and an electronic map of the target area are periodically obtained for each poison bait station in the target area, and the distance of the poison bait station associated with the scene type of the target area is determined. The average daily number of mice caught by each poison bait station during the period is calculated based on the historical mouse catching records, and the average daily number of mice caught by each poison bait station is compared with a preset mouse catch amount. The poison bait station whose average mouse catch amount exceeds the preset mouse catch amount is determined as a target poison bait station.

[0047] Step S102: determining whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station; if there is a risk area associated with the target poison bait station, determining a region boundary distance from a first boundary point to a second boundary point in the risk area according to the electronic map.

[0048] Among them, the risk area is used to indicate the area where the poison bait station cannot be installed, such as both sides of the kindergarten gate, the main roads in the urban area, and the side of the street-facing buildings. The first boundary point and the second boundary point may refer to points on the boundary of the risk area, wherein the first boundary point and the second boundary point are points at different positions, and the first boundary point and the second boundary point do not overlap. In one embodiment, the risk area is identified according to the positioning information of the target poison bait station and the preset identification range to identify whether there is a risk area near the target poison bait station. Exemplarily, the preset identification range is 50 meters, then the area within a radius of 50 meters is determined as the identification range of the risk area according to the current position of the target poison bait station, and whether there is a risk area within the identification range is identified according to the preset risk area identifier. If it exists, it exists in the risk area associated with the target poison bait station, and the risk area is displayed on the electronic map, and any two vertices of the risk area are selected as the first boundary point and the second boundary point, respectively, and the straight-line distance from the first boundary point to the second boundary point is determined according to the map data of the electronic map. If it does not exist, there is no risk area associated with the target poison bait station.

[0049] Step S103, calculating a target poison material weight according to the ratio of the poison bait station distance to the area boundary distance and the current specification of the target poison bait station, and determining the target poison bait station specification associated with the target poison material weight as the poison bait station specification of the target poison bait station.

[0050] The current specifications of the target poison bait station are used to indicate the specific standards and specifications of the target poison bait station in terms of size, shape and capacity. The larger the capacity, the larger the weight of the poison material. The target poison material weight is used to indicate the weight of the poison material that the poison bait station needs to hold in order to achieve the best mouse-catching effect. The target poison bait station specifications are the specifications of the new poison bait station that needs to be replaced at the current location of the target poison bait station, and also refer to the poison bait station that can hold the target poison material weight. In one embodiment, since poison bait stations cannot be installed in the risk area, the greater the distance of the risk area to the regional boundary, the more mice are caught by the poison bait stations on both sides of the risk area, and the corresponding specifications of the poison bait stations on both sides of the risk area are larger. Based on this, the target poison material weight can be calculated according to the ratio of the distance of the poison bait station to the regional boundary distance and the current specifications of the target poison bait station, wherein the association relationship between the specifications of the poison bait station and the maximum poison material weight can be obtained in advance, and the association relationship can be used to indicate the maximum weight of the poison material corresponding to the specifications of each poison bait station. The associated poison material weight is determined according to the current specifications of the target poison bait station, and the product of the ratio of the distance of the poison bait station to the regional boundary distance and the associated poison material weight is calculated to obtain the target poison material weight, and the target poison bait station specifications associated with the target poison material weight are determined. Exemplarily, if the distance of the poison bait station is 5 meters, the distance to the regional boundary is 8 meters, and the maximum poison material weight associated with the current specifications of the target poison bait station is 30g, then the target poison material weight can be calculated to be 48g, and the target poison bait station specifications associated with 48g are determined. Among them, when determining the associated target poison bait station specifications based on the target poison material weight, there is a case where the target poison material weight is consistent with the maximum poison material weight. For example, if the maximum poison material weights associated with the various poison bait station specifications are 30g, 40g, 50g and 60g, respectively, and the target poison material weight at this time is 48g, then the maximum poison material weight that is closest to and greater than the target poison material weight, that is, the poison bait station specification associated with 50g can be determined as the target poison bait station specification. It can be understood that the target poison bait station can be replaced with a poison bait station with a target poison bait station specification that can hold a maximum of 50g of poison material.

[0051] In an embodiment of the present application, by obtaining the historical rat-catching records, positioning information of each bait station in the target area, and the electronic map of the target area, and determining the distance between bait stations associated with the scene type of the target area, the target bait stations in the target area with a rat-catching amount exceeding the preset rat-catching amount are determined according to the historical rat-catching records; it is judged whether there is a risk area associated with the target bait station according to the positioning information of the target bait station, and in the case that there is a risk area associated with the target bait station, the regional boundary distance from the first boundary point to the second boundary point in the risk area is determined according to the electronic map; the target poison weight is calculated according to the ratio of the distance between bait stations to the regional boundary distance and the current specification of the target bait station, and the bait station specification of the target bait station associated with the target poison weight is determined as the bait station specification of the target bait station. It is possible to determine the target bait stations with a rat-catching amount exceeding the preset rat-catching amount according to the historical rat-catching records, determine the risk area based on the positioning information of the target bait station, and configure a reasonable bait station specification based on the regional boundary distance of the risk area, improving the matching degree between the position of the bait station and the bait station specification, and also improving the accuracy of determining the bait station specification.

[0052] In one embodiment, in the case that there is no risk area associated with the target bait station, the bait station specification of the target bait station associated with the current specification of the target bait station is determined as the bait station specification of the target bait station.

[0053] Exemplarily, if the maximum poison weights associated with each bait station specification are A specification, B specification, C specification, and D specification respectively, where A specification < B specification < C specification < D specification, and the current specification of the target bait station is B specification, then the bait station specification of the target bait station associated with this B specification is the bait station specification that is closest to and greater than the B specification, that is, C specification, and the C specification is determined as the bait station specification of the target bait station.

[0054] In an embodiment of the present application, in the case that there is no risk area associated with the target bait station, the bait station specification of the target bait station associated with the current specification of the target bait station is determined as the bait station specification of the target bait station, which can make the bait station specification meet the rat-catching requirements while avoiding waste of bait station resources and improving the accuracy of determining the bait station specification.

[0055] Figure 2 It is a flowchart of a method for judging an associated risk area provided by an embodiment of the present application. As Figure 2 shown, it includes:

[0056] Step S201: Determine the first adjacent bait station to the target bait station according to the positioning information of the target bait station, determine the interval distance between the target bait station and the first adjacent bait station, judge whether the interval distance matches the preset minimum boundary distance, and determine the target sub-region based on the judgment result.

[0057] Among them, the first adjacent poison bait station may refer to one or more poison bait stations that are closest to the target poison bait station. The preset minimum boundary distance may be used to indicate the boundary distance of the area corresponding to the minimum risk area in the preset risk area. The target sub-area may be used to indicate the area that meets the corresponding risk area identification conditions in the target area, and the target area may contain any number of target sub-areas. In one embodiment, one or more poison bait stations that are closest to the target poison bait station are determined as the first adjacent poison bait station according to the positioning information of the target poison bait station, and the position information of the first adjacent poison bait station is determined, wherein the position information of the target poison bait station and the position information of the first adjacent poison bait station can both be represented in the form of coordinates, and the distance between the two coordinate points is determined, that is, the interval distance between the target poison bait station and the first adjacent poison bait station, and it is determined whether the interval distance is less than the preset minimum boundary distance. If so, it can be considered that the interval distance matches the preset minimum boundary distance, and the distance between the two poison bait stations is shorter. It can be understood that the large amount of mice caught by the target poison bait station is not caused by the existence of a risk area nearby, and the probability of the existence of a risk area between the target poison bait station and the first adjacent poison bait station is small. At this time, it can be considered that there is no target sub-area near the target poison bait station, and there is no need to identify the risk area. If the interval distance is greater than or equal to the minimum boundary distance, it can be considered that the interval distance does not match the preset minimum boundary distance, the distance between the two bait stations is long, and there may be a risk area between the target bait station and the first adjacent bait station. At this time, it can be determined that there is a target sub-area near the target bait station. When determining the target sub-area, the target sub-area can be determined with the target bait station as the center and the interval distance as the radius.

[0058] Step S202, identifying whether there is an area with a preset risk mark in the target sub-area, and if there is no area with a preset risk mark in the target sub-area, determining that there is no risk area associated with the target poison bait station, and if there is an area with a preset risk mark in the target sub-area, determining that there is a risk area associated with the target poison bait station.

[0059] Among them, the preset risk identification is a visual mark or symbol that is pre-set in a specific scene based on historical experience, data analysis, professional judgment, etc., and is used to highlight various types of risks that may occur and their characteristics, degree and other key information, such as specific place identification, prohibition identification or danger identification. In one embodiment, the identification information in the target sub-area is identified, and based on the identification result, it is determined whether there is an identification that is the same as the preset risk identification. If so, it is determined that the area to which the identification belongs is the risk area associated with the target poison bait station. If not, it is determined that there is no risk area associated with the target poison bait station.

[0060] The embodiment of the present application determines the first adjacent poison bait station to the target poison bait station based on the positioning information of the target poison bait station, determines the interval distance between the target poison bait station and the first adjacent poison bait station, determines whether the interval distance matches the preset minimum boundary distance, and determines the target sub-area based on the judgment result; identifies whether there is an area with a preset risk mark in the target sub-area, and determines that there is no risk area associated with the target poison bait station when there is no area with a preset risk mark in the target sub-area, and determines that there is a risk area associated with the target poison bait station when there is an area with a preset risk mark in the target sub-area. By determining the interval distance between the target poison bait station and the first adjacent poison bait station, and determining whether there is a risk area near the target poison bait station based on the matching result of the interval distance and the preset minimum boundary distance, and determining a smaller target sub-area for identifying the risk area, the efficiency of judging whether there is a risk area and the efficiency of identifying the risk area are improved.

[0061] In one embodiment, the determining whether the interval distance matches a preset minimum boundary distance, and determining the target sub-area based on the determination result, includes:

[0062] comparing the interval distance with the minimum boundary distance, and if the interval distance is greater than or equal to the preset minimum boundary distance, the interval distance does not match the minimum boundary distance, and determining the area between the target poison bait station and the first adjacent poison bait station as a target sub-area;

[0063] When the interval distance is less than the preset minimum boundary distance, the interval distance matches the minimum boundary distance, a second adjacent poison bait station next adjacent to the first adjacent poison bait station is determined, and an area between the target poison bait station and the second adjacent poison bait station is determined as a target sub-area.

[0064] Figure 3 Schematic diagram of a poison bait station marking provided in an embodiment of the present application. Figure 3 As shown, the second adjacent poison bait station refers to the poison bait station adjacent to the first adjacent poison bait station except the target poison bait station. In one embodiment, the interval distance m is compared with the minimum boundary distance. When the interval distance m is greater than or equal to the preset minimum boundary distance, the interval distance does not match the minimum boundary distance, the distance between the two poison bait stations is longer, and there may be a risk area between the target poison bait station and the first adjacent poison bait station, and the area between the target poison bait station and the first adjacent poison bait station is determined as the target sub-area. If the interval distance m is less than the minimum boundary distance, it can be considered that the interval distance m matches the preset minimum boundary distance, and the distance between the two poison bait stations is shorter. At this time, the determination range of the target sub-area can be expanded accordingly, such as Figure 3As shown, a second adjacent poison bait station next to the first adjacent poison bait station may be determined, and an area between the target poison bait station and the second adjacent poison bait station may be determined as a target sub-area.

[0065] The embodiment of the present application compares the interval distance with the minimum boundary distance. When the interval distance is greater than or equal to the preset minimum boundary distance, the interval distance does not match the minimum boundary distance, and the area between the target poison bait station and the first adjacent poison bait station is determined as the target sub-area. When the interval distance is less than the preset minimum boundary distance, the interval distance matches the minimum boundary distance, the second adjacent poison bait station next to the first adjacent poison bait station is determined, and the area between the target poison bait station and the second adjacent poison bait station is determined as the target sub-area. Matching can be performed based on the interval distance and the minimum boundary distance between the target poison bait station and the first adjacent poison bait station, and different methods of determining the target sub-area are adopted based on different matching results, thereby improving the accuracy of determining the target sub-area.

[0066] Figure 4 is a flow chart of a method for determining a region boundary distance provided by an embodiment of the present application. Figure 4 As shown, including:

[0067] Step S301: displaying the region border of the risk region on the electronic map, and generating a poison bait station deployment track according to the location information of each poison bait station in the target region displayed on the electronic map.

[0068] The poison bait station deployment trajectory may be used to represent the installation trajectory of the poison bait stations generated according to the positioning information of each poison bait station when the poison bait stations were installed in the target area in the past, or may be a trajectory of the poison bait station deployment randomly generated according to the positioning information of each current poison bait station in the target area. Figure 5 is a schematic diagram showing a deployment trajectory of a poison bait station and a risk area provided in an embodiment of the present application, such as Figure 5 As shown, A, B, C, D, E, and F are the locations of the poison bait stations in the target area, respectively. The deployment trajectory of the poison bait stations is randomly generated according to the locations of the poison bait stations, and the risk area and the deployment trajectory of the poison bait stations are displayed on the electronic map.

[0069] Step S302: multiple points where the area border overlaps with the deployment trajectory of the poison bait station are determined as multiple boundary points of the risk area, a first boundary point and a second boundary point among the multiple boundary points are determined according to the positioning information of each boundary point, and a regional boundary distance from the first boundary point to the second boundary point is determined.

[0070] For example, Figure 5As shown, the points M, N, Q and P where the deployment trajectory of the poison bait station coincides with the regional border of the risk area are determined. Since the number of coincidence points between the deployment trajectory of the poison bait station and the regional border of the risk area is greater than two, the straight-line distance between each two coincidence points is determined according to the position coordinates of each coincidence point, and the two coincidence points corresponding to the maximum straight-line distance are determined as the first boundary point and the second boundary point, and the maximum distance is determined as the regional boundary distance from the first boundary point to the second boundary point.

[0071] The embodiment of the present application displays the regional border of the risk area on an electronic map, and generates a poison bait station deployment trajectory based on the positioning information of each poison bait station in the target area displayed on the electronic map; multiple points where the regional border overlaps with the poison bait station deployment trajectory are determined as multiple boundary points of the risk area, and the first boundary point and the second boundary point among the multiple boundary points are determined based on the positioning information of each boundary point, and the regional boundary distance from the first boundary point to the second boundary point is determined. In the above scheme, by determining the two farthest overlapping points as the first boundary point and the second boundary point, and determining the farthest distance as the regional boundary distance, the accuracy of the subsequent determination of the target poison bait station specifications can be improved when the target poison bait station specifications are subsequently determined based on the regional boundary distance.

[0072] Optionally, determining the first boundary point and the second boundary point among the multiple boundary points according to the positioning information of each boundary point includes:

[0073] The straight-line distance between any two boundary points is determined according to the positioning information of each boundary point, and the two boundary points corresponding to the maximum straight-line distance are respectively determined as the first boundary point and the second boundary point.

[0074] For example, Figure 5 As shown, the straight-line distances between MN, MQ, MP, NQ, NP, and QP are determined respectively. It can be determined that the straight-line distance between MP is the largest. Point M can be determined as the first boundary point and point P can be determined as the second boundary point, or point P can be determined as the first boundary point and point M can be determined as the second boundary point.

[0075] The embodiment of the present application determines the straight-line distance between any two boundary points based on the positioning information of each boundary point, and determines the two boundary points corresponding to the maximum straight-line distance as the first boundary point and the second boundary point, respectively. In the above scheme, by determining the two coincident points with the farthest distance as the first boundary point and the second boundary point, and determining the farthest distance as the regional boundary distance, the accuracy of the subsequent determination of the target poison bait station specifications can be improved when the target poison bait station specifications are determined based on the regional boundary distance.

[0076] Optionally, determining the area boundary distance from the first boundary point to the second boundary point includes:

[0077] The length of the poison bait station deployment trajectory between the first boundary point and the second boundary point is determined as the area boundary distance from the first boundary point to the second boundary point.

[0078] For example, Figure 5 As shown, the poison bait station deployment track between point M and point P is determined, and the length of the poison bait station deployment track MDP is determined as the area boundary distance from the first boundary point to the second boundary point.

[0079] In the above scheme, by determining the actual mouse catching track of the poison bait station between the first boundary point and the second boundary point as the area boundary distance, accurate data support is provided for the subsequent determination of the specifications of the target poison bait station, thereby improving the accuracy of the subsequent determination of the specifications of the target poison bait station.

[0080] Figure 6 is a structural diagram of a system for determining specifications of a poison bait station based on poison bait station positioning provided by an embodiment of the present application, such as Figure 6 As shown, including:

[0081] An information acquisition module 41 is used to acquire the historical mouse catching records, location information and an electronic map of each poison bait station in the target area, and determine the distance of the poison bait station associated with the scene type of the target area;

[0082] A target poison bait station determination module 42, configured to determine a target poison bait station in the target area that exceeds a preset mouse capture amount according to the historical mouse capture records;

[0083] an area boundary distance determination module 43, configured to determine whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station, and if there is a risk area associated with the target poison bait station, determine the area boundary distance from the first boundary point to the second boundary point in the risk area according to the electronic map;

[0084] The poison bait station specification determination module 44 is used to calculate the target poison material weight according to the ratio of the poison bait station distance to the area boundary distance and the current specification of the target poison bait station, and determine the target poison bait station specification associated with the target poison material weight as the poison bait station specification of the target poison bait station.

[0085] The embodiment of the present application obtains the historical mouse-catching records, positioning information and electronic map of each poison bait station in the target area, and determines the distance of the poison bait station associated with the scene type of the target area, and determines the target poison bait station in the target area that exceeds the preset mouse-catching amount according to the historical mouse-catching records; determines whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station, and in the case of a risk area associated with the target poison bait station, determines the regional boundary distance from the first boundary point to the second boundary point in the risk area according to the electronic map; calculates the target poison material weight according to the ratio of the poison bait station distance to the regional boundary distance and the current specifications of the target poison bait station, and determines the target poison bait station specifications associated with the target poison material weight as the poison bait station specifications of the target poison bait station. It is possible to determine the target poison bait station that exceeds the preset mouse-catching amount according to the historical mouse-catching records, determine the risk area based on the positioning information of the target poison bait station, and configure reasonable poison bait station specifications based on the regional boundary distance of the risk area, thereby improving the matching degree between the poison bait station position and the poison bait station specifications, and also improving the accuracy of determining the poison bait station specifications.

[0086] In a possible embodiment, the region boundary distance determination module 43 is specifically used to:

[0087] Determine a first adjacent poison bait station to the target poison bait station according to the positioning information of the target poison bait station, determine the interval distance between the target poison bait station and the first adjacent poison bait station, determine whether the interval distance matches a preset minimum boundary distance, and determine a target sub-area based on the determination result;

[0088] Identify whether there is an area with a preset risk mark in the target sub-area. If there is no area with a preset risk mark in the target sub-area, determine that there is no risk area associated with the target poison bait station. If there is an area with a preset risk mark in the target sub-area, determine that there is a risk area associated with the target poison bait station.

[0089] In a possible embodiment, the region boundary distance determination module 43 is specifically used to:

[0090] comparing the interval distance with the minimum boundary distance, and if the interval distance is greater than or equal to the preset minimum boundary distance, the interval distance does not match the minimum boundary distance, and determining the area between the target poison bait station and the first adjacent poison bait station as a target sub-area;

[0091] When the interval distance is less than the preset minimum boundary distance, the interval distance matches the minimum boundary distance, a second adjacent poison bait station next adjacent to the first adjacent poison bait station is determined, and an area between the target poison bait station and the second adjacent poison bait station is determined as a target sub-area.

[0092] In a possible embodiment, the region boundary distance determination module 43 is specifically used to:

[0093] Displaying the area border of the risk area on the electronic map, and generating a poison bait station deployment trajectory according to the positioning information of each poison bait station in the target area displayed on the electronic map;

[0094] A plurality of points where the area border overlaps with the deployment trajectory of the poison bait station are determined as a plurality of boundary points of the risk area, a first boundary point and a second boundary point among the plurality of boundary points are determined according to the positioning information of each boundary point, and a regional boundary distance from the first boundary point to the second boundary point is determined.

[0095] In a possible embodiment, the region boundary distance determination module 43 is specifically used to:

[0096] The straight-line distance between any two boundary points is determined according to the positioning information of each boundary point, and the two boundary points corresponding to the maximum straight-line distance are respectively determined as the first boundary point and the second boundary point.

[0097] In a possible embodiment, the region boundary distance determination module 43 is specifically used to:

[0098] The length of the poison bait station deployment trajectory between the first boundary point and the second boundary point is determined as the area boundary distance from the first boundary point to the second boundary point.

[0099] In a possible embodiment, the poison bait station specification determination module 44 is further configured to:

[0100] In the case that there is no risk area associated with the target poison bait station, the target poison bait station specification associated with the current specification of the target poison bait station is determined as the poison bait station specification of the target poison bait station.

[0101] The embodiment of the present application further provides a device for determining specifications of a poison bait station based on poison bait station positioning. The device for determining specifications of a poison bait station based on poison bait station positioning can be integrated with a system for determining specifications of a poison bait station based on poison bait station positioning provided in the embodiment of the present application. Figure 7 is a schematic diagram of a device for determining specifications of a poison bait station based on poison bait station positioning provided in an embodiment of the present application, with reference to Figure 7The device for determining the specifications of a poison bait station based on the location of the poison bait station includes: an input device 53, an output device 54, a memory 52, and one or more processors 51; the memory 52 is used to store one or more programs; when the one or more programs are executed by the one or more processors 51, the one or more processors 51 implement the method for determining the specifications of a poison bait station based on the location of the poison bait station as provided in the above embodiment. The input device 53, the output device 54, the memory 52, and the processor 51 can be connected via a bus or other means. Figure 7 The example of connecting through bus is taken in the following.

[0102] The memory 52, as a computing device readable storage medium, can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the method for determining the specifications of the poison bait station based on the positioning of the poison bait station provided in any embodiment of the present application. The memory 52 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the device, etc. In addition, the memory 52 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 52 may further include a memory remotely arranged relative to the processor 51, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0103] The input device 53 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 54 may include a display device such as a display screen.

[0104] The processor 51 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 52, that is, implements the above-mentioned method for determining the specifications of the poison bait station based on the positioning of the poison bait station.

[0105] The above-mentioned system, device and computer for determining specifications of poison bait stations based on poison bait station positioning can be used to execute the method for determining specifications of poison bait stations based on poison bait station positioning provided in any of the above-mentioned embodiments, and have corresponding functions and beneficial effects.

[0106] The embodiment of the present application further provides a storage medium storing computer executable instructions. When the computer executable instructions are executed by a computer processor, they are used to perform the method for determining the specifications of a poison bait station based on the location of the poison bait station provided in the above embodiment. The method for determining the specifications of a poison bait station based on the location of the poison bait station includes:

[0107] Obtaining historical mouse-catching records, location information, and an electronic map of each poison bait station in a target area, and determining distances of poison bait stations associated with a scene type in the target area, and determining target poison bait stations in the target area that exceed a preset mouse-catching amount based on the historical mouse-catching records;

[0108] Determining whether there is a risk area associated with the target poison bait station according to the positioning information of the target poison bait station, and if there is a risk area associated with the target poison bait station, determining a region boundary distance from a first boundary point to a second boundary point in the risk area according to the electronic map;

[0109] The target poison material weight is calculated according to the ratio of the poison bait station distance to the area boundary distance and the current specification of the target poison bait station, and the target poison bait station specification associated with the target poison material weight is determined as the poison bait station specification of the target poison bait station.

[0110] Storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROM, floppy disk or tape device; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, etc. Storage media may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the first computer system in which the program is executed, or may be located in a different second computer system, which is connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (for example, in different computer systems connected by a network). The storage medium may store program instructions (for example, embodied as a computer program) that can be executed by one or more processors.

[0111] Of course, the computer executable instructions of a storage medium containing computer executable instructions provided in an embodiment of the present application are not limited to the method for determining the specifications of poison bait stations based on the positioning of poison bait stations as described above, and can also execute related operations in the method for determining the specifications of poison bait stations based on the positioning of poison bait stations provided in any embodiment of the present application.

[0112] The system, device and storage medium for determining the specifications of poison bait stations based on poison bait station positioning provided in the above embodiments can execute the method for determining the specifications of poison bait stations based on poison bait station positioning provided in any embodiment of the present application. For technical details not described in detail in the above embodiments, please refer to the method for determining the specifications of poison bait stations based on poison bait station positioning provided in any embodiment of the present application.

[0113] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for determining specifications of a poison bait station based on poison bait station positioning, characterized in that: include: Obtaining historical mouse-catching records, location information, and an electronic map of each poison bait station in a target area, and determining distances of poison bait stations associated with a scene type in the target area, and determining target poison bait stations in the target area that exceed a preset mouse-catching amount based on the historical mouse-catching records; Determine a first adjacent poison bait station to the target poison bait station according to the positioning information of the target poison bait station, determine the interval distance between the target poison bait station and the first adjacent poison bait station, judge whether the interval distance matches a preset minimum boundary distance, determine a target sub-area based on the judgment result, identify whether there is an area with a preset risk mark in the target sub-area, and if there is no area with a preset risk mark in the target sub-area, determine that there is no risk area associated with the target poison bait station, and if there is an area with a preset risk mark in the target sub-area, determine that there is a risk area associated with the target poison bait station, and if there is a risk area associated with the target poison bait station, display a region border of the risk area on the electronic map, generate a poison bait station deployment trajectory according to the positioning information of each poison bait station in the target area displayed on the electronic map, determine multiple points where the region border overlaps with the poison bait station deployment trajectory as multiple boundary points of the risk area, determine a first boundary point and a second boundary point among the multiple boundary points according to the positioning information of each boundary point, and determine a region boundary distance from the first boundary point to the second boundary point; The target poison material weight is calculated according to the ratio of the poison bait station distance to the area boundary distance and the current specification of the target poison bait station, and the target poison bait station specification associated with the target poison material weight is determined as the poison bait station specification of the target poison bait station.

2. The method for determining specifications of poison bait stations based on poison bait station positioning according to claim 1, characterized in that: The determining whether the interval distance matches a preset minimum boundary distance, and determining a target sub-area based on the determination result, includes: comparing the interval distance with the minimum boundary distance, and if the interval distance is greater than or equal to the preset minimum boundary distance, the interval distance does not match the minimum boundary distance, and determining the area between the target poison bait station and the first adjacent poison bait station as a target sub-area; When the interval distance is less than the preset minimum boundary distance, the interval distance matches the minimum boundary distance, a second adjacent poison bait station next adjacent to the first adjacent poison bait station is determined, and an area between the target poison bait station and the second adjacent poison bait station is determined as a target sub-area.

3. The method for determining the specifications of a poison bait station based on the positioning of the poison bait station according to claim 2, characterized in that: The step of determining the first boundary point and the second boundary point among the plurality of boundary points according to the positioning information of each boundary point comprises: The straight-line distance between any two boundary points is determined according to the positioning information of each boundary point, and the two boundary points corresponding to the maximum straight-line distance are respectively determined as the first boundary point and the second boundary point.

4. The method for determining the specifications of a poison bait station based on the positioning of the poison bait station according to claim 2, characterized in that: The determining the area boundary distance from the first boundary point to the second boundary point includes: The length of the poison bait station deployment trajectory between the first boundary point and the second boundary point is determined as the area boundary distance from the first boundary point to the second boundary point.

5. The method for determining poison bait station specifications based on poison bait station positioning according to claim 1, characterized in that: Also includes: In the case that there is no risk area associated with the target poison bait station, the target poison bait station specification associated with the current specification of the target poison bait station is determined as the poison bait station specification of the target poison bait station.

6. A system for determining specifications of poison bait stations based on poison bait station positioning, characterized in that: include: An information acquisition module, used to acquire historical mouse-catching records, location information and an electronic map of each poison bait station in a target area, and determine the distance of the poison bait station associated with the scene type of the target area; A target poison bait station determination module, used to determine the target poison bait station in the target area that exceeds a preset mouse capture amount according to the historical mouse capture record; a region boundary distance determination module, configured to determine a first adjacent poison bait station to the target poison bait station according to the positioning information of the target poison bait station, determine the interval distance between the target poison bait station and the first adjacent poison bait station, determine whether the interval distance matches a preset minimum boundary distance, and determine a target sub-region based on the judgment result, identify whether there is an area with a preset risk mark in the target sub-region, and if there is no area with a preset risk mark in the target sub-region, determine that there is no risk region associated with the target poison bait station, and if there is an area with a preset risk mark in the target sub-region, determine that there is a risk region associated with the target poison bait station, and if there is a risk region associated with the target poison bait station, display a region border of the risk region on the electronic map, and generate a poison bait station deployment trajectory according to the positioning information of each poison bait station in the target region displayed on the electronic map, determine a plurality of points where the region border overlaps with the poison bait station deployment trajectory as a plurality of boundary points of the risk region, determine a first boundary point and a second boundary point among the plurality of boundary points according to the positioning information of each boundary point, and determine a region boundary distance from the first boundary point to the second boundary point; The poison bait station specification determination module is used to calculate the target poison material weight according to the ratio of the poison bait station distance to the area boundary distance and the current specification of the target poison bait station, and determine the target poison bait station specification associated with the target poison material weight as the poison bait station specification of the target poison bait station.

7. An electronic device, comprising: one or more processors; A storage device, used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the specifications of a poison bait station based on poison bait station positioning as described in any one of claims 1 to 5.

8. A storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the method for determining poison bait station specifications based on poison bait station positioning according to any one of claims 1 to 5 when executed by a computer processor.

Images