Electronic fence intrusion detection method and electronic fence equipment
By receiving and analyzing the characteristics of the touch signal, the electronic fence system can accurately judge the type and intrusion of the touched object, solve the problems of false alarms and missed alarms in the prior art, and improve the safety and reliability of the area.
Patent Information
- Application Number
- CN202510867095.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-26
- Publication Date
- 2025-07-22
AI Technical Summary
It is difficult for existing electronic fence systems to accurately determine the specific situation of touching objects, resulting in false alarms and missed alarms, affecting regional safety and reliability.
By continuously receiving touch signals, touch feature detection, and analyzing touch information to determine whether someone or other objects invade, including malicious invasion, animal touching, or other objects accidentally encountering, etc.
It improves the accuracy of the electronic fence system in judging the situation of touching objects, reduces false alarms and missed alarms, and enhances the safety and reliability of the area.
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Figure CN120356285A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the technical field of fence intrusion detection, and particularly relates to an electronic fence intrusion detection method and an electronic fence device. Background Art
[0002] An electronic fence system is a security system that combines physical or virtual boundaries with electronic technology to provide perimeter protection for a specific area; electronic fence systems are commonly used, for example, around school walls, building perimeters, factory boundaries, warehouses, etc. Electronic fence intrusion detection is a security technology means, mainly based on the electronic fence system to detect illegal intrusion behaviors.
[0003] The electronic fence intrusion detection in the related art may only be able to detect that an object has touched, but it is difficult to determine the specific situation of the touching object (such as whether someone maliciously intrudes, or an animal accidentally touches, or other objects accidentally touch, etc.) and type, and it is difficult to accurately determine whether someone has invaded, which may result in false alarms and missed alarms, leading to low security and reliability of the area protected by the electronic fence. Summary of the Invention
[0004] The embodiments of this application provide an electronic fence intrusion detection method and an electronic fence device, which can solve the problem that it is difficult to accurately determine whether someone has invaded due to the difficulty in determining the specific situation of the touching object, resulting in low security and reliability of the electronic fence.
[0005] In a first aspect, the embodiments of this application provide an electronic fence intrusion detection method, including: Continuously receive a touch signal; wherein, the touch signal is a signal obtained after the electronic fence is touched by a touching object; Based on the touch signal, perform touch feature detection to obtain touch information; wherein, the touch information is used to reflect the situation of the touching object that touches the electronic fence; Determine intrusion information according to the situation of the touching object that touches the electronic fence indicated by the touch information; wherein, the intrusion information is used to indicate whether someone or other objects have invaded.
[0006] The electronic fence intrusion detection method provided by this application continuously receives touch signals, performs touch feature detection based on the touch signals to obtain touch information, and then determines intrusion information according to the situation of the touch object that touches the electronic fence indicated by the touch information. It can effectively judge the specific situation of the touch object, including whether it is a malicious intrusion, an accidental touch by an animal, or an accidental touch by other objects, etc., so as to accurately judge whether there is an intrusion by a person or other objects. This method can not only detect that an object touches the fence, but also judge the specific situation and type of the touch object, accurately judge whether there is an intrusion by a person, and improve the security and reliability of the protected area of the electronic fence.
[0007] In a second aspect, an embodiment of this application provides an electronic fence intrusion detection system, including: A receiving unit, configured to continuously receive touch signals; wherein, the touch signals are signals obtained after the electronic fence is touched by a touch object; An analysis unit, configured to perform touch feature detection based on the touch signals to obtain touch information; wherein, the touch information is used to reflect the situation of the touch object that touches the electronic fence; A result unit, configured to determine intrusion information according to the situation of the touch object that touches the electronic fence indicated by the touch information; wherein, the intrusion information is used to indicate whether there is an intrusion by a person or other objects.
[0008] In a third aspect, an embodiment of this application provides an electronic fence intrusion detection device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the method according to any one of the above first aspects.
[0009] In a fourth aspect, an embodiment of this application provides a computer program product. When the computer program product runs on an electronic fence intrusion detection device, it causes the electronic fence intrusion detection device to execute the electronic fence intrusion detection method according to any one of the above first aspects.
[0010] It can be understood that the beneficial effects of the above second to fourth aspects can refer to the relevant descriptions in the above first aspect and will not be elaborated here. Description of the Drawings
[0011] In order to more clearly illustrate the technical solutions in the embodiments of this application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0012] Figure 1It is a schematic flowchart of an electronic fence intrusion detection method provided by an embodiment of the present application; Figure 2 It is a schematic flowchart of the implementation of step S103 in the electronic fence intrusion detection method provided by an embodiment of the present application; Figure 3 It is a schematic flowchart of the implementation of step S200 in the electronic fence intrusion detection method provided by an embodiment of the present application; Figure 4 It is a schematic flowchart of the implementation of step S220 in the electronic fence intrusion detection method provided by an embodiment of the present application; Figure 5 It is a schematic flowchart of the implementation of steps S230, S231, and S232 in the electronic fence intrusion detection method provided by an embodiment of the present application; Figure 6 It is a schematic structural diagram of an electronic fence intrusion detection system provided by an embodiment of the present application; Figure 7 It is a schematic structural diagram of a control device of an electronic fence intrusion detection device provided by an embodiment of the present application. Detailed implementation manners
[0013] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.
[0014] It should be understood that when used in the specification and appended claims of the present application, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.
[0015] It should also be understood that the term " / and" as used in the specification and appended claims of the present application refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0016] In the related art, electronic fence intrusion detection may only be able to detect that an object has touched, but it is difficult to determine the specific situation of the touching object (such as whether someone maliciously intrudes, an animal accidentally touches, or other objects accidentally touch, etc.) and type, and it is difficult to accurately determine whether someone has intruded, which may result in false alarms and missed alarms, leading to low security and reliability of the protected area of the electronic fence. To solve the above problems, the embodiments of the present application provide an electronic fence intrusion detection method and an electronic fence device.
[0017] In this method, by continuously receiving a touch signal, touch feature detection is performed based on the touch signal to obtain touch information; then, intrusion information is determined according to the situation of the touch object that touches the electronic fence indicated by the touch information, which can effectively determine the specific situation of the touch object, including whether it is a malicious intrusion, an accidental touch by an animal, or an accidental touch by other objects, etc., so as to accurately determine whether someone or other objects have intruded. This method can not only detect that an object has touched, but also determine the specific situation and type of the touch object, and accurately determine whether someone has intruded, improving the security and reliability of the protected area of the electronic fence.
[0018] The electronic fence intrusion detection method provided by the embodiments of the present application can be applied to an electronic fence intrusion detection device. At this time, the electronic fence intrusion detection device is the execution subject of the electronic fence intrusion detection method provided by the embodiments of the present application, and the embodiments of the present application do not impose any restrictions on the specific type of the electronic fence intrusion detection device.
[0019] For example, the electronic fence intrusion detection device further includes a control device; the control device can be a tablet computer, a notebook computer, a desktop computer, a smart large screen, a computer, etc., but is not limited thereto.
[0020] To better understand the electronic fence intrusion detection method provided by the embodiments of the present application, the following is an exemplary introduction to the specific implementation process of the electronic fence intrusion detection method provided by the embodiments of the present application.
[0021] Figure 1 The schematic flowchart of the electronic fence intrusion detection method provided by the embodiments of the present application is shown. The electronic fence intrusion detection method includes: S100, continuously receiving a touch signal; where the touch signal is a signal obtained after the electronic fence is touched by a touch object.
[0022] It can be understood that continuously receiving touch signals means continuously receiving touch signals generated by the electronic fence. These touch signals may originate from a variety of touch objects, including but not limited to people, animals, or other inanimate objects. It can be continuously detected by a sensor. The control device is communicatively connected to the sensor, and the sensor transmits the detected signal to the control device; the sensor is connected to the electronic fence and can capture and transmit these touch signals to the receiving unit in real time; for example, the sensor can be a pressure sensor, an infrared sensor, or a microwave sensor, etc. The sensor can detect the physical changes or signals generated when the electronic fence is touched and convert them into electrical signals for transmission.
[0023] In a possible implementation, after S100, continuously receiving touch signals, it includes: S101, when a touch signal is received, obtain the position of the touch object; where the position of the touch object is the azimuth value of the touch object.
[0024] Exemplarily, when a touch signal is received, the specific position of the touch object can be determined by multiple installed sensor arrays; the sensor array can capture the precise position information when the touch object contacts the electronic fence, thereby generating a touch position map, and obtaining the position of the touch object according to the touch position map; where the sensor array can be an array, and can include an infrared sensor array, a microwave sensor array, or a pressure sensor array, etc. The sensor array can accurately locate the position of the touch object through infrared radiation, microwave reflection, or pressure change respectively; the infrared sensor array can determine the position of the touch point by detecting the difference in infrared radiation; the microwave sensor array locates the touch object through the reflection time and intensity of the microwave signal; while the pressure sensor array directly identifies the touch position through the pressure distribution.
[0025] S102, extract the position information of the boundary of the electronic fence; where the position information is used to indicate multiple azimuth values of the boundary.
[0026] It can be understood that the multiple azimuth values of the boundary indicated by the position information can be understood that the shape of the boundary is circular or square or irregular. A single azimuth value can be understood as a point, then multiple azimuth values are multiple points that make up a circle or a square or an irregular shape, that is, multiple azimuth values form the boundary.
[0027] Exemplarily, the position information of the boundary of the electronic fence can be obtained by pre-surveying the electronic fence, and the survey results can be stored in the storage unit. The boundary position information includes but is not limited to the perimeter of the electronic fence, the coordinates of each key point, etc. These information serve as the basis for subsequent judgment of whether the touch object invades.
[0028] S103. Perform position analysis based on the position information of the touched object and the position of the boundary to determine whether the position of the touched object is within the position of the electronic fence.
[0029] Exemplarily, by the azimuth value of the touched object indicated by the position of the touched object and the multiple azimuth values of the boundary indicated by the position information of the boundary, determine all the azimuth values within the boundary formed by the multiple azimuth values. If the azimuth value of the touched object indicated by the position of the touched object is the same as one of all the azimuth values within the boundary formed by the multiple azimuth values, it proves that the position of the touched object is within the position of the electronic fence.
[0030] With such a setting, it can be accurately determined whether the touched object is located within the protected area of the electronic fence. If the touched object is indeed within the electronic fence, further analysis can be continued based on the touch information, laying a foundation for subsequent intrusion detection.
[0031] In a possible implementation, please refer to Figure 2 , S103. Perform position analysis based on the position information of the touched object and the position of the boundary to determine whether the position of the touched object is within the position of the electronic fence, including: S1031. Obtain the fence area of the electronic fence according to the multiple azimuth values indicated by the position information of the boundary; It can be understood that the fence area is enclosed by multiple azimuth values. The area within the fence area is the area to prevent intrusion, such as a campus area, a factory area, etc., but not limited to this.
[0032] S1032. Extract the fence area of the electronic fence to obtain all the azimuth values of the fence area.
[0033] Exemplarily, extract all the azimuth values within the fence area to obtain all the azimuth values of the fence area. For example, a circle, a square, or an ellipse, the interior of the circle, square, or ellipse is the area, and all the points inside the circle, square, or ellipse are the azimuth values within the area.
[0034] S1033. Compare the azimuth value of the touched object with all the azimuth values of the fence area for coincidence.
[0035] Exemplarily, compare the azimuth value of the touched object with all the azimuth values of the fence area for equality.
[0036] S1034. In the case where the coincidence comparison is completed, if 0 azimuth values of the fence area are the same as the azimuth value of the touched object, it will be determined that the position of the touched object is not within the position of the electronic fence.
[0037] It can be understood that if there are 0 azimuth values of the fence area among all the azimuth values of the fence area that are the same as the azimuth value of the touched object, it can be understood that the touched object is not within the fence area; for example, in the case where the coincidence comparison is completed, for example, there are A, B, C, D, E, F, G, H, and I within a circle. If the azimuth value of the touched object is X, it proves that the touched object is not inside the circle; another example is that all the coordinate values within a square area are from (1, 1) to (1, 10), from (2, 1) to (2, 10),..., from (10, 1) to (10, 10); if the coordinate value of the touched object is (11, 8), since (11, 8) is the same as one of the coordinate values within the square area, it proves that the touched object is not within the square area.
[0038] In a possible implementation manner, please refer to Figure 2 , the method further includes: In the case where the coincidence comparison is completed, if at most 1 azimuth value of the fence area among all the azimuth values of the fence area is the same as the azimuth value of the touched object, it will be determined that the position of the touched object is within the position of the electronic fence.
[0039] Exemplarily, if there is 1 azimuth value of the fence area among all the azimuth values of the fence area that is the same as the azimuth value of the touched object, it can be understood that the touched object is within the fence area; for example, in the case where the coincidence comparison is completed, there are A, B, C, D, E, F, G, H, and I within a circle. If the azimuth value of the touched object is C, it proves that the touched object is inside the circle; another example is that all the coordinate values within a square area are from (1, 1) to (1, 10), from (2, 1) to (2, 10),..., from (10, 1) to (10, 10); if the coordinate value of the touched object is (5, 8), since (5, 8) is the same as one of the coordinate values within the square area, it proves that the touched object is within the square area.
[0040] With such a setting, it can accurately determine whether the touched object is located within the protection area of the electronic fence, providing a key basis for subsequent intrusion detection.
[0041] S200, perform touch feature detection based on the touch signal to obtain touch information; where the touch information is used to reflect the situation of the touched object that touches the electronic fence.
[0042] It can be understood that the touch feature can include but is not limited to touch duration, touch times, the shape of the touched object, etc., but is not limited thereto.
[0043] Exemplarily, after continuously receiving the touch signal, perform touch feature detection, and determine the situation of the touched object that touches the electronic fence according to the touch feature.
[0044] In a possible implementation manner, please refer toFigure 3 , S200, performs touch feature detection based on the touch signal to obtain touch information, including: S210, when the position of the touched object is not within the position of the electronic fence based on the touch signal, performs first feature analysis on the touched object to obtain first information; wherein, the first information is used to indicate the touch duration and touch count of the touched object on the electronic fence.
[0045] Exemplarily, based on the touch signal and when the position of the touched object is not within the position of the electronic fence, performs detection of the touch duration and touch count on the touched object to obtain first information.
[0046] S220, performs false touch judgment on the touch duration and touch count indicated by the first information to obtain judgment information; wherein, the judgment information is used to reflect whether the touched object is a false touch situation or a non-false touch situation, the false touch situation includes passive false touch and active false touch, and the non-false touch situation includes human climbing and / or human intrusion.
[0047] It can be understood that passive false touch can be understood as the branch being blown by the wind, resulting in the branch touching the electronic fence, which is a situation affected by the external environment, so it is passive false touch; active false touch can be understood as actively touching the electronic fence due to foraging or other reasons, so it is active false touch. Active false touch can include animals, such as common pets like cats and dogs or wild animals, etc.; human climbing and / or human intrusion refers to the behavior of someone deliberately climbing the electronic fence or illegally entering the protected area. During the false touch judgment process, it can be judged according to a preset threshold or rule. For example, if the touch duration is extremely short and the touch count is less than the threshold, it proves that it is very likely to be a false touch; on the contrary, if the touch duration is long and the touch count is frequent, both being greater than the preset threshold, it is very likely to be human climbing or intrusion. Further, in order to more accurately judge the situation of the touched object, other information can also be combined for analysis, such as environmental information, time information, etc. For example, in the night or a dim environment, the possibility of animal false touch is higher; while in the day or a well-lit environment, the possibility of human climbing or intrusion is higher.
[0048] In a possible implementation, please refer to Figure 4 , S220, performs false touch judgment on the touch duration and touch count indicated by the first information to obtain judgment information, including: S221, obtains time interval information; wherein, the time interval information is used to indicate the interval time between consecutive touches.
[0049] Exemplarily, the time interval information can be obtained by calculating the time difference between two adjacent touch signals. In the case of continuously receiving touch signals, record the timestamps of each touch signal, and by calculating the difference between two adjacent timestamps, the interval time between consecutive touches can be obtained.
[0050] S222, input the interval time between consecutive touches indicated by the time interval information, the touch duration of the touched object, and the number of touches into the false touch judgment model, and the false touch judgment model makes a judgment according to the judgment logic to obtain judgment information; wherein, the judgment logic includes the judgment logic for passive false touch, the judgment logic for active false touch, and the judgment logic for non-false touch situations. The judgment logic for passive false touch is short-time single touch, that is, T is X, C is Y. The judgment logic for active false touch is high-frequency low-time touch, that is, T is X, C is Y, J is Z. The judgment logic for non-false touch situations is continuous touch and periodic interval, that is, T is X, C is Y, J is Z, where T is the touch duration, C is the number of touches, and J is the interval time indicated by the time interval information.
[0051] It can be understood that the false touch judgment model takes the interval time between consecutive touches indicated by the time interval information, the touch duration of the touched object, and the number of touches as inputs, makes judgments according to the judgment logic for passive false touch, the judgment logic for active false touch, and the judgment logic for non-false touch situations, and takes the judgment information as the output. The false touch judgment model is obtained by training a large amount of data through the model.
[0052] Exemplarily, in the false touch judgment model, different judgment logics correspond to different combinations of touch characteristics. For example, for passive false touch, taking a branch as an example, the touch caused by the branch being blown by the wind is usually short and single, so the judgment logic is set as short-time single touch, that is, the touch duration T is, for example, 0.3 seconds, and the number of touches C is, for example, 2 times per minute. For false touches by animals such as cats and dogs, since they may move near the electronic fence due to foraging or other reasons, resulting in high-frequency low-time touches, the judgment logic is set as high-frequency low-time touch, that is, the touch duration T is, for example, 0.8 seconds, the number of touches C is, for example, 6 times per minute, and there may be a short time interval J, for example, multiple touches within 2 seconds. For non-false touch situations, such as human climbing or intrusion, since this behavior is usually continuous and may be accompanied by periodic intervals (such as rest or adjusting posture during climbing), the judgment logic is set as continuous touch and periodic interval, that is, the touch duration T is, for example, 5 seconds, the number of touches C is, for example, 3 times), and there is a long time interval J, for example, 5 seconds, to distinguish consecutive touch behaviors, where T can be seconds, minutes, hours, etc. but is not limited to this; C can be the number of times per minute, per second, or per hour, etc. but is not limited to this; J can be in seconds, minutes, hours, etc. but is not limited to this; In addition, the judgment logic for passive accidental touch is not limited to the above-exemplified content (the exemplified content is a branch), and can also be other passive situations, such as touches caused by natural phenomena like rain, hail, or others. Touches caused by these natural phenomena also have the characteristics of short-term single-touch. Similarly, the judgment logic for active accidental touch is not limited to the above-exemplified content (the exemplified content is animals, cats, and dogs), and can also be touches caused by birds, insects, etc., which also have the characteristics of high-frequency and low-duration touch.
[0053] S223, if the currently used judgment logic output by the accidental touch judgment model is short-term single-touch and / or high-frequency and low-duration touch, then determine that the currently touched object is the accidental touch situation reflected by the judgment information.
[0054] Exemplarily, if the currently used judgment logic output by the accidental touch judgment model is short-term single-touch and / or high-frequency and low-duration touch, then determine that the currently touched object is an animal or a plant, that is, determine that the currently touched object is the accidental touch situation reflected by the judgment information.
[0055] S224, if the currently used judgment logic output by the accidental touch judgment model is continuous touch and periodic interval, then determine that the currently touched object is a non-accidental touch situation reflected by the judgment information.
[0056] Exemplarily, if the currently used judgment logic output by the accidental touch judgment model is outputting continuous touch and periodic interval, then determine that the currently touched object is a person, that is, determine that the currently touched object is the accidental touch situation reflected by the judgment information.
[0057] With such a setting, the judgment accuracy of the situation of the touched object can be improved, the situations of false alarms and missed alarms can be reduced, and thus the safety protection effect of the electronic fence can be more effectively guaranteed.
[0058] In a possible implementation manner, if the judgment information reflects that the currently touched object is a non-accidental touch situation, the electronic fence intrusion detection system can further perform an alarm operation. The alarm operation can include but is not limited to emitting an alarm sound, sending an alarm signal to the monitoring center, starting a camera to record video, etc., so as to respond to and process the intrusion event in a timely manner.
[0059] S230, if the touched object reflected by the judgment information is a non-accidental touch situation, perform a second feature analysis on the touched object to obtain second information; where the second information is used to reflect the morphological situation of the touched object.
[0060] Exemplarily, the second feature analysis may include analyzing features such as the shape and size of the touched object. For example, based on the data obtained by the sensor array, the contour shape of the touched object can be analyzed. Further, in combination with other sensor data (such as pressure distribution data), the size of the touched object can be estimated. In addition, the form of the touched object can be inferred by analyzing signals such as the pressure or vibration generated by the touched object on the electronic fence.
[0061] In a possible implementation, refer to Figure 5 , S230. If it is determined that the touched object reflected by the judgment information is not a false touch, perform a second feature analysis on the touched object to obtain second information, including: S231. If it is determined that the touched object reflected by the judgment information is not a false touch, perform a vibration signal pattern analysis on the touched object near the electronic fence to obtain first analysis information; wherein, the first analysis information is used to reflect the distribution of the vibration signal.
[0062] Exemplarily, when a touched object approaches the electronic fence, vibrations will be generated. By detecting the vibrations and analyzing features such as the frequency, amplitude, and distribution of these vibration signals, the distribution of the vibration signals of the touched object can be obtained. For example, different objects will generate different vibration signal patterns due to their different masses and shapes. Therefore, by comparing and analyzing the vibration signal patterns, the type or features of the touched object can be preliminarily judged; specifically, perform pattern matching on the vibration signal distribution indicated by the first analysis information to obtain whether the touched object is a preset specific object, and determine the specific type of the touched object according to the obtained specific object; wherein, the specific type includes but is not limited to animals, humans, etc. For example, if the matching result shows that the vibration signal pattern of the touched object matches the preset "cat and dog" pattern, it can be determined that the touched object is an animal such as a cat or a dog. If the matching result matches the "human" pattern, it can be determined that the touched object is a human.
[0063] In a possible implementation, refer to Figure 5 , S231. If it is determined that the touched object reflected by the judgment information is not a false touch, perform a vibration signal pattern analysis on the touched object near the electronic fence to obtain first analysis information, including: S2311. Detect multiple contact areas of the touched object on the fence in real time; wherein, the contact area is the area of the fence touched by the touched object.
[0064] Exemplarily, multiple vibration sensors can be set up to detect multiple contact areas of the touched object with the fence in real time. The vibration sensors can capture the vibration signals generated when the touched object contacts the electronic fence and transmit these signals to the processing unit for analysis; by analyzing these vibration signals, the specific positions and areas where the touched object contacts the electronic fence can be determined. The multiple vibration sensors can be set up successively and at intervals on the fence; among them, the fence can be a campus fence, a corporate or company fence, or other fence structures, etc.
[0065] S2312. Obtain the respective low-frequency values generated when the touched object contacts each contact area according to the multiple contact areas detected in real time.
[0066] It can be understood that this can be achieved by performing signal processing on the vibration sensors set for each contact area. Specifically, after the vibration sensors capture the vibration signals, they will convert them into electrical signals, which contain information such as the frequency and amplitude of the vibration signals. Then, these electrical signals are filtered to remove high-frequency noise and interference and retain the low-frequency components. The low-frequency components reflect the vibration characteristics when the touched object contacts the electronic fence, that is, the required low-frequency values. After obtaining these low-frequency values, further pattern matching and analysis can be performed to determine the type or characteristics of the touched object.
[0067] S2313. Analyze the periodic rise or fall presented by the touched object based on the respective low-frequency values to obtain the touch waveform of the touched object.
[0068] Exemplarily, this can be achieved by performing time series analysis on the low-frequency values. Specifically, the low-frequency values detected in each contact area are arranged in chronological order to form time series data. Then, the periodic changes of the vibration signals generated when the touched object contacts the electronic fence are identified from these time series data; the periodic changes reflect the touch waveform of the touched object. Different characteristics of the touch waveform can be used to further distinguish the type of the touched object. For example, the waveform generated when a human climbs may be significantly different from the waveform generated when an animal runs. By comparing and analyzing these waveform characteristics, the specific situation of the touched object can be judged more accurately.
[0069] In addition, the type or behavioral characteristics of the touched object can be further determined based on the touch waveform. For example, by comparing and analyzing the touch waveform with the waveform templates in a preset waveform library, it can be determined whether the touched object is a specific type, such as a human, an animal, etc., or its behavioral characteristics, such as climbing, running, etc. The establishment of the waveform library can be achieved by collecting and analyzing data of a large number of actual touch events, extracting the typical waveforms of different touched objects and behavioral characteristics, and forming them after preprocessing and feature extraction. In the process of waveform matching, methods such as similarity calculation and machine learning can be used to judge the matching degree between the touch waveform and the waveform template, so as to determine the type or behavioral characteristics of the touched object. In addition, in order to further improve the accuracy of the judgment, other sensor data can also be combined for analysis. For example, an infrared sensor, a radar sensor, etc. can be used to detect the movement trajectory and speed of the touched object, or a sound sensor can be used to detect the sound characteristics generated by the touched object, etc. The fusion of multi-source information can be realized through a data fusion algorithm, and the data obtained by different sensors are fused and processed to improve the judgment accuracy of the situation of the touched object.
[0070] S2314, determine first analysis information according to the touch waveform of the touched object.
[0071] Exemplarily, the periodic change reflects the touch waveform of the touched object, and the touch waveform of the touched object is determined as the first analysis information.
[0072] S232, perform a mechanical feature pattern analysis on the touched object near the electronic fence to obtain second analysis information; wherein, the second analysis information is used to reflect the deformation situation of the fence caused by the touched object, and there is an electronic fence at the position of the fence.
[0073] Exemplarily, it can be achieved by setting a pressure sensor or a strain gauge. The pressure sensor or the strain gauge can detect the pressure or deformation caused by the touched object on the electronic fence, and convert these signals into electrical signals for transmission. Specifically, when the touched object contacts the electronic fence, certain pressure and deformation will be generated, which will be captured by the pressure sensor or the strain gauge and converted into corresponding electrical signals. Then, based on these electrical signals, information about the deformation situation of the fence caused by the touched object, that is, the second analysis information, can be obtained.
[0074] In a possible implementation, please refer to Figure 5 , S232, perform a mechanical feature pattern analysis on the touched object near the electronic fence to obtain second analysis information, including: S2321, detect multiple pressure points on the fence in real time; wherein, the multiple pressure points are obtained by the touched object touching the fence.
[0075] It can be understood that multiple pressure points are obtained when the touching object touches the enclosure. It can be understood that after the enclosure is touched, multiple pressure points are formed between the enclosure and the touching object. The real-time detection method can be realized by setting multiple pressure sensors on the enclosure; the pressure sensors can capture the pressure signals generated by the touching object on the enclosure in real time, and convert these signals into electrical signals for transmission to the control device. Specifically, when the touching object contacts the enclosure, a certain pressure will be generated at the contact point, and this pressure will be captured by the pressure sensor and converted into corresponding electrical signals.
[0076] S2322, obtain the formation time of each pressure point based on multiple pressure points; wherein, the formation time of the pressure point is the time when the touching object touches the enclosure.
[0077] Exemplarily, the formation time of each pressure point can be recorded by a timestamp. When the touching object contacts the enclosure, the pressure sensor will immediately capture the pressure signal and record the timestamp at this time, that is, the formation time of the pressure point, and the timestamp can be used for subsequent analysis preparation.
[0078] S2323, obtain the touching path of the touching object according to the time sequence of each pressure point; wherein, the touching path is a path formed by connecting each pressure point in sequence according to the sequence of the formation times of each pressure point.
[0079] Exemplarily, the movement trajectory of the touching object on the enclosure, that is, the touching path, can be determined by analyzing the time sequence of the pressure points. Specifically, sort each pressure point according to the sequence of its formation time, and then connect these pressure points in sequence to obtain the movement path of the touching object on the enclosure. Its touching path reflects the dynamic process of the touching object contacting the enclosure and can be used to further analyze the behavioral characteristics of the touching object, such as climbing, etc. By analyzing the characteristics such as the shape, length, and direction of the touching path, the movement state and behavioral intention of the touching object can be understood more deeply, so as to provide more accurate information for subsequent judgment.
[0080] S2324, generate a pressure heat map based on the touching path, and obtain second analysis information according to the pressure heat map.
[0081] Exemplarily, the pressure values of each pressure point on the touch path can be visualized to generate a pressure heat map. The pressure heat map can intuitively display the pressure distribution of the touched object on the fence, that is, the magnitude of the pressure received by different regions. Information about the deformation of the fence caused by the touched object, that is, the second analysis information, can be obtained through the pressure heat map. For example, if the pressure heat map shows that a certain area receives a large pressure and for a long time, it may mean that the touched object climbs or applies a large force in this area, which helps to more accurately judge the type and behavioral characteristics of the touched object.
[0082] With such a setting, potential intrusion events can be detected and processed in a timely manner, improving the security protection ability of the electronic fence. At the same time, by analyzing the characteristics of the touched object in detail, the alarm information can be further enriched, providing a more comprehensive description of the intrusion event for the monitoring center or security personnel and enabling faster response and decision-making.
[0083] S233, obtain the second information according to the first analysis information and the second analysis information.
[0084] Exemplarily, the distribution of the vibration signal indicated by the first analysis information and the deformation of the fence caused by the touched object indicated by the second analysis information are determined as the second information.
[0085] With such a setting, a more comprehensive and accurate judgment of the touched object can be made by integrating the vibration signal and mechanical characteristics, etc. By comparing and analyzing the characteristics in the first analysis information and the second analysis information, the type and behavior of the touched object can be further confirmed, such as whether it is an animal, a human or other object, and its behavioral characteristics, such as climbing, running or staying still, etc., which can improve the security and reliability of the electronic fence system, reduce false alarms and missed alarms, and provide more effective support for security protection.
[0086] In a possible implementation manner, please refer to Figure 3 , the method further includes: If the touched object reflected by the judgment information is a false touch situation, obtain false touch record information; wherein, the false touch record information is used to indicate the time of false touch, the duration of false touch and the number of touches.
[0087] Exemplarily, the false touch recording can be performed by a false touch judgment module, and the recording can be carried out through the false touch judgment module. Specifically, when it is determined that the touching object is a false touch situation such as an animal or a plant, the false touch judgment module will immediately activate the recording function and record information such as the time when the false touch occurs, the duration of the false touch, and the number of touches. Among them, the false touch judgment module can be a dedicated software component, which is communicatively connected to the control device and is part of the electronic fence intrusion detection device; in addition, the false touch judgment module can also continuously optimize and adjust the judgment logic according to historical data and statistical analysis results to adapt to false touch situations under different environments and conditions, and improve the accuracy and reliability of the judgment.
[0088] With such a setting, by analyzing the false touch record information, the high-incidence time periods and areas of false touch events can be understood, so as to make targeted adjustments and optimizations to reduce the occurrence of false touch situations. At the same time, the false touch record information can also provide reference for security personnel, enabling them to more accurately judge and handle intrusion events, and improving the efficiency and accuracy of security protection.
[0089] S240, determine the touch information according to the second information.
[0090] Exemplarily, determine the form condition of the touching object reflected by the second information as the touch information.
[0091] With such a setting, the situation of the touching object can be more comprehensively reflected, providing a basis for subsequent processing and judgment. For example, if the touching object presents a specific shape or size, it may match the known intruder characteristics, thereby further improving the accuracy of intrusion detection.
[0092] S300, determine the intrusion information according to the situation of the touching object that touches the electronic fence indicated by the touch information; where the intrusion information is used to indicate whether there is an intrusion by a person or an animal.
[0093] Exemplarily, determine the touching object that touches the electronic fence indicated by the touch information, and determine whether there is an intrusion by a person or an animal according to the situation (person, animal, plant, etc.) of the determined touching object.
[0094] With such a setting, not only can it be detected that there is an object touching, but also the specific situation and type of the touching object can be judged, accurately judging whether there is an intrusion by a person, reducing the situations of false alarms and missed alarms, and improving the security and reliability of the protected area of the electronic fence.
[0095] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
[0096] Corresponding to the electronic fence intrusion detection method described in the above embodiments, an embodiment of the present application further provides an electronic fence intrusion detection system, and each unit of the system can implement each step of the electronic fence intrusion detection method. Figure 6 FIG. shows a structural block diagram of the electronic fence intrusion detection system provided by an embodiment of the present application. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown.
[0097] Referring to Figure 6 , the electronic fence intrusion detection system includes: A receiving unit, configured to continuously receive a touch signal; wherein, the touch signal is a signal obtained after an object touching the electronic fence touches the electronic fence; An analysis unit, configured to perform touch feature detection based on the touch signal to obtain touch information; wherein, the touch information is used to reflect the situation of the object touching the electronic fence; A result unit, configured to determine intrusion information according to the situation of the object touching the electronic fence indicated by the touch information; wherein, the intrusion information is used to indicate whether a person or an animal has intruded.
[0098] It should be noted that, for the information interaction, execution process, etc. between the above systems / units, since they are based on the same concept as the method embodiment of the present application, for their specific functions and the technical effects brought, reference can be specifically made to the method embodiment part, and details are not described herein again.
[0099] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used as an example for illustration. In practical applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.
[0100] Figure 7 FIG. is a schematic structural diagram of a control device of an electronic fence intrusion detection device provided by an embodiment of the present application. As Figure 7 shown, the control device 6 of this embodiment includes: at least one processor 60 ( Figure 7 only one is shown in Figure 7(only one is shown) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the control device 6 implements the steps in any of the above-described embodiments of the electronic fence intrusion detection method, or the control device 6 implements the functions of each module / unit in the above-described system embodiments.
[0101] Exemplarily, the computer program 62 may be divided into one or more modules / units, and the one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 62 in the control device 6.
[0102] The control device 6 may be a computing device such as a desktop computer or a notebook. The control device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 7 merely examples of the control device 6, which do not constitute a limitation on the control device 6, and may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, buses, etc.
[0103] The processor 60 may be a central processing unit (CPU), and the processor 60 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0104] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the control device 6. Further, the memory 61 may also include both the internal storage unit of the control device 6 and the external storage device. The memory 61 is used to store an operating system, application programs, a BootLoader, data, and other programs, such as program codes of the computer program. The memory 61 may also be used to temporarily store data that has been output or will be output.
[0105] An embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.
[0106] An embodiment of the present application provides a computer program product, and when the computer program product runs on an electronic fence intrusion detection device, the electronic fence intrusion detection device implements the steps in any of the above method embodiments.
[0107] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above method embodiments of the present application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps in the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium may at least include: any entity or device capable of carrying the computer program code to the electronic fence intrusion detection device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium may not be an electrical carrier signal and a telecommunications signal.
[0108] In the above embodiments, the descriptions of the respective embodiments each have their own emphases. For parts not described in detail or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.
[0109] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.
[0110] In the embodiments provided in this application, it should be understood that the disclosed electronic fence intrusion detection systems, devices, and methods can be implemented in other ways. For example, the above-described embodiments of the electronic fence intrusion detection systems and devices are merely illustrative. For example, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the shown or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.
[0111] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0112] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them; although this application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. An electronic fence intrusion detection method, characterized in that, Including: Continuously receiving a touch signal; wherein, the touch signal is a signal obtained after an object touches an electronic fence. Performing touch feature detection based on the touch signal to obtain touch information; wherein, the touch information is used to reflect the situation of the touch object that touches the electronic fence. Determining intrusion information according to the situation of the touch object that touches the electronic fence indicated by the touch information; wherein, the intrusion information is used to indicate whether a person or other object has intruded.
2. The electronic fence intrusion detection method according to claim 1, characterized in that, After continuously receiving the touch signal, it includes: When receiving the touch signal, obtaining the position of the touch object; wherein, the position of the touch object is the azimuth value of the touch object. Extracting the position information of the boundary of the electronic fence; wherein, the position information is used to indicate multiple azimuth values of the boundary. Performing position analysis based on the position of the touch object and the position information of the boundary to determine whether the position of the touch object is within the position of the electronic fence.
3. The electronic fence intrusion detection method according to claim 2, characterized in that, The performing position analysis based on the position of the touch object and the position information of the boundary to determine whether the position of the touch object is within the position of the electronic fence includes: Obtaining the fence area of the electronic fence according to the multiple azimuth values indicated by the position information of the boundary; wherein, the fence area is the area enclosed by the electronic fence. Extracting the fence area of the electronic fence to obtain all azimuth values of the fence area. Performing a coincidence comparison between the azimuth value of the touch object and all the azimuth values of the fence area. When the coincidence comparison is completed, if 0 azimuth values of the fence area are the same as the azimuth value of the touch object among all the azimuth values of the fence area, it is determined that the position of the touch object is not within the position of the electronic fence.
4. The electronic fence intrusion detection method according to claim 3, characterized in that, The method further includes: When the coincidence comparison is completed, if at most 1 azimuth value of the fence area is the same as the azimuth value of the touch object among all the azimuth values of the fence area, it is determined that the position of the touch object is within the position of the electronic fence.
5. The electronic fence intrusion detection method according to claim 3, wherein The performing touch feature detection based on the touch signal to obtain touch information includes: Based on the touch signal and when the position of the touch object is not within the position of the electronic fence, performing first feature analysis on the touch object to obtain first information; wherein, the first information is used to indicate the touch duration and touch times of the touch object on the electronic fence. Performing mis-touch judgment on the touch duration and touch times indicated by the first information to obtain judgment information; wherein, the judgment information is used to reflect whether the touch object is in a mis-touch situation or a non-mis-touch situation, the mis-touch situation includes passive mis-touch and active mis-touch, and the non-mis-touch situation is human climbing and / or human intrusion. If the touch object reflected by the judgment information is in the non-mis-touch situation, performing second feature analysis on the touch object to obtain second information; wherein, the second information is used to reflect the morphological situation of the touch object. Determining the touch information according to the second information.
6. The electronic fence intrusion detection method according to claim 5, wherein, The method further includes: If the touched object reflected by the judgment information is the accidental touch situation, obtaining accidental touch record information; wherein, the accidental touch record information is used to indicate the time of accidental touch, the duration of accidental touch, and the number of touches.
7. The electronic fence intrusion detection method according to claim 5, characterized in that, The misjudgment determination of the touch duration and the number of touches indicated by the first information to obtain judgment information includes: Obtaining time interval information; wherein, the time interval information is used to indicate the interval time between consecutive touches. Inputting the interval time between consecutive touches indicated by the time interval information, the touch duration of the touched object, and the number of touches into a misjudgment determination model, and the misjudgment determination model makes a determination according to the determination logic to obtain judgment information; wherein, the determination logic includes the determination logic for passive accidental touch, the determination logic for active accidental touch, and the determination logic for non-accidental touch situation. The determination logic for passive accidental touch is short-time single touch, that is, T is X, C is Y. The determination logic for active accidental touch is high-frequency low-time touch, that is, T is X, C is Y, J is Z. The determination logic for non-accidental touch situation is continuous touch and periodic interval, that is, T is X, C is Y, J is Z, T is the touch duration, C is the number of touches, and J is the interval time indicated by the time interval information. If the currently used determination logic output by the misjudgment determination model is the short-time single touch and / or the high-frequency low-time touch, it is determined that the currently touched object is the accidental touch situation reflected by the judgment information. If the currently used determination logic output by the misjudgment determination model is the continuous touch and the periodic interval, it is determined that the currently touched object is the non-accidental touch situation reflected by the judgment information.
8. The electronic fence intrusion detection method according to claim 7, characterized in that, The second feature analysis of the touched object to obtain the second information if the touched object reflected by the judgment information is the non-accidental touch situation includes: If the touched object reflected by the judgment information is the non-accidental touch situation, performing vibration signal pattern analysis on the touched object near the position of the electronic fence to obtain first analysis information; wherein, the first analysis information is used to reflect the distribution of vibration signals. Performing mechanical feature pattern analysis on the touched object near the position of the electronic fence to obtain second analysis information; wherein, the second analysis information is used to reflect the deformation situation of the fence caused by the touched object, and there is an electronic fence at the position of the fence. Obtaining the second information according to the first analysis information and the second analysis information.
9. The electronic fence intrusion detection method according to claim 8, wherein, The performing vibration signal pattern analysis on the touched object near the position of the electronic fence to obtain first analysis information if the touched object reflected by the judgment information is the non-accidental touch situation includes: Real-time detecting a plurality of contact areas of the touched object with the fence; wherein, the contact area is the area of the fence touched by the touched object. Obtaining respective low-frequency values generated when the touched object contacts each of the contact areas according to the plurality of contact areas detected in real time. Analyze the periodic rise or fall presented by the touched object based on each of the low-frequency values to obtain the touch waveform of the touched object; Determine the first analysis information according to the touch waveform of the touched object.
10. An electronic device, characterized in that, It includes a processor and a memory. The memory stores a computer program executable by the processor. When the processor executes the computer program, it runs the electronic fence intrusion detection method according to any one of claims 1-9.
Citation Information
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