Smart wall intrusion detection method and system and storage medium thereof

Abstract

The invention relates to the field of security and protection systems, in particular to a smart wall intrusion detection method and system and a storage medium thereof, and the method comprises the steps: outputting a preset detection microwave signal, receiving and obtaining detection microwave data, and obtaining time data; determining additional microwave data according to the detection microwave data and a preset normal microwave threshold value; and determining an intrusion signal according to the additional microwave data, the time data and a preset intrusion microwave threshold and outputting the intrusion signal. The method has the effect of improving the security effect.

Description

Technical Field

[0001] The present application relates to the field of security systems, and in particular to a smart wall intrusion detection method, system and storage medium thereof. Background Art

[0002] In some factories or houses with special structures, due to the complexity of the structure, if full coverage is desired, a large number of monitors are required, which also leads to a large number of monitoring screens in the monitoring room and requires a large number of monitoring personnel to monitor, which is costly and inefficient.

[0003] As a perimeter security protection system that combines emerging technologies, smart wall intrusion detection can provide more comprehensive and intelligent coverage monitoring. However, the effectiveness of smart wall intrusion detection depends entirely on computer programs, and it is urgent to develop a better smart wall intrusion detection method. Summary of the invention

[0004] In order to improve the effect of smart wall intrusion detection, the present application provides a smart wall intrusion detection method, system and storage medium thereof.

[0005] The present application provides a smart wall intrusion detection method, which adopts the following technical solutions: A smart wall intrusion detection method, comprising: Output preset detection microwave signal, receive and acquire detection microwave data, and acquire time data; Determining additional microwave data by comparing the detected microwave data with a preset normal microwave threshold; An intrusion signal is determined and outputted through the additional microwave data, the time data and a preset intrusion microwave threshold.

[0006] By adopting the above technical solution, it is possible to automatically determine whether there is an intrusion, which is convenient and quick and improves the security effect.

[0007] Optional, including: Determine and output the non-specified intrusion data by using the additional microwave data and the intrusion microwave threshold; Get record data; Determine a new threshold value by using the non-specified intrusion data and the recorded data; The new intrusion microwave threshold is determined by the newly added threshold and the original intrusion microwave threshold.

[0008] By adopting the above technical solution, the judgment database is quickly updated according to user feedback, that is, the intrusion microwave threshold is quickly adapted to increase, so as to achieve rapid update of judgment and improve efficiency.

[0009] Optional, including: Acquiring a plurality of the detected microwave data; Determine the three-dimensional detection field data by using the plurality of the detection microwave data and a preset output position threshold; Determine a stereo microwave threshold value by using a plurality of the normal microwave threshold values ​​and the output position threshold value; Determine variable microwave data by using the stereoscopic detection field data and the stereoscopic microwave threshold; The intrusion signal is determined and outputted through the variable microwave data and a preset stereo microwave threshold.

[0010] By adopting the above technical solutions, three-dimensional detection and three-dimensional calculation are formed, which can effectively prevent intrusion caused by intrusion behaviors such as climbing and crossing that are difficult to observe in two-dimensional data but easy to observe in three-dimensional data, thereby further improving the security effect.

[0011] Optional, including: The variable microwave data includes variable microwave position data, the stereo microwave threshold includes a stereo coordinate threshold and a working volume threshold, and the intrusion signal includes an intrusion alarm signal, an emergency transport signal, and a slow transport signal; Determine intrusion movement data by using the variable microwave position data and the time data; Determine the intrusion alarm signal based on the intrusion movement data and a preset intrusion movement threshold and output it; Determining the intrusion alarm signal by using the variable microwave position data and the stereo coordinate threshold; Or obtain the latest work status data; The emergency transport signal or the slow transport signal is determined and outputted through the variable microwave position data, the stereo coordinate threshold, the most recent working status data, the working volume threshold, and a preset working efficiency threshold.

[0012] By adopting the above technical solution, in addition to judging intrusion behavior, it can also automatically judge whether items affect normal work or user behavior and remind people to move and remove them. At the same time, it can automatically judge the degree of urgency and divide them into emergency removal and slow removal, which can improve work efficiency and smoothness.

[0013] Optional, including: The variable microwave data includes variable microwave material data, and the stereo microwave threshold includes a material threshold; Determine material ratio data through the continuous variable microwave position data and the microwave material data; The intrusion signal is determined and outputted through the variable microwave material data, the material ratio data and the material threshold.

[0014] By adopting the above technical solution, the known parts of unknown objects are identified, and then a rough judgment of the intrusion behavior is made, thereby further improving the security effect.

[0015] Optional, including: Determine cross-detection data by using a plurality of the detected microwave data and the output position threshold; Determining detection continuity through the cross detection data and the output position threshold; A fault signal is determined by the detection continuity and the preset continuity and is outputted.

[0016] By adopting the above technical solution, the detection data between multiple detection chips are integrated to automatically judge the reliability and accuracy, reduce the probability of misjudgment caused by adding erroneous data, improve accuracy, and promptly remind users to perform maintenance.

[0017] The present application provides a smart wall intrusion detection system, which adopts the following technical solutions: A smart wall intrusion detection system, comprising: A detection element, used for forming a microwave detection field according to the detection microwave signal, and receiving the microwave signal returned by the microwave detection field to form the detection microwave data output; The data processing module is used to receive the detected microwave data, perform data calculation and processing, obtain the intrusion signal and output it to the user.

[0018] By adopting the above technical solution, detection and judgment can be automatically performed, which is convenient and fast and improves the security effect.

[0019] The present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute a smart wall intrusion detection method.

[0020] By adopting the above technical solution, the computer program is stored in a computer-readable storage medium.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. Automatically determine whether there is an intrusion, which is convenient and fast and improves security effects.

[0022] 2. Make three-dimensional judgments on intrusion and improve security effectiveness.

[0023] 3. Automatically identify items that may affect normal work or user behavior and remind users to remove them, thereby improving work efficiency and smoothness. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of a smart wall intrusion detection method in an embodiment of the present application.

[0025] Figure 2 It is a flowchart diagram of step S2 to step S23.

[0026] Figure 3 It is a flowchart diagram of step S3 to step S34.

[0027] Figure 4 It is a flowchart diagram of step S4 to step S44.

[0028] Figure 5 It is a flowchart diagram of step S5 to step S52.

[0029] Figure 6 It is a flowchart diagram of step S6 to step S62.

[0030] Figure 7 It is a module schematic diagram of a smart wall intrusion detection system in an embodiment of the present application.

[0031] Explanation of the reference numerals: 1. Detection element; 2. Data processing module. DETAILED DESCRIPTION

[0032] The following is combined with Figure 1-7 This application is described in further detail.

[0033] The present application embodiment discloses a smart wall intrusion detection method. Figure 1 ,The smart wall intrusion detection method includes the following steps: S1. Output a preset detection microwave signal, receive and obtain detection microwave data, and obtain time data; S11, determining additional microwave data by detecting microwave data and a preset normal microwave threshold; S12, determining the intrusion signal through the additional microwave data, time data and the preset intrusion microwave threshold and outputting it.

[0034] Details: The detection microwave signal is a preset frequency, amplitude and other parameters, and then the detection chip forms a microwave detection field based on the detection microwave signal. The microwave detection field will be reflected back after it touches the object. What is received at this time is the detection microwave data. The detection microwave data will vary according to the material of the object touched, and the distance of the object from the transmitting point can also be judged according to the different return times. The normal microwave threshold is a normal object that can be detected under normal circumstances. For example, it is normal to be able to detect a wall of a specified shape, specified position, and specified material near a residential area wall in the middle of the night. For example, it is normal to be able to detect equipment of a specified shape, specified position, and specified material in a factory. The detected detection microwave data is compared with the normal microwave threshold After comparative calculation, it is possible to determine whether abnormal items have been detected, that is, additional microwave data, such as an extra dog or a person near the fence, an extra box in the factory, etc.; the intrusion microwave threshold represents additional microwave data that is not allowed, such as an extra person near the fence is not allowed, and there are multiple iron boxes in the factory. If the duration of this not allowed situation exceeds the time specified in the intrusion microwave threshold, an intrusion signal will be output to the security room for an alarm. If the duration of this not allowed situation does not exceed the time specified in the intrusion microwave threshold, that is, the detected extra people leave quickly, the security room will not be alarmed. If there are multiple dogs near the fence and multiple wooden boxes in the factory, it is allowed, and the security room will not be alarmed.

[0035] Reference Figure 2 , further comprising the following steps: S2, determining non-specified intrusion data through additional microwave data and intrusion microwave threshold and outputting the data; S21, obtaining recorded data; S22, determining a new threshold value through the non-specified intrusion data and the recorded data; S23. Determine a new intrusion microwave threshold by adding the new threshold and the original intrusion microwave threshold.

[0036] In detail: if the additional microwave data is not the data of illegally invaded items specified in the intrusion microwave threshold, it is not necessarily safe and harmless at this time. It may also be a new type of item that has not yet been stored in the data of the intrusion microwave threshold. At this time, the additional microwave data is output to the user as non-specified intrusion data. After the user makes a manual judgment, he enters the corresponding record data. At this time, the original item combination may appear, resulting in the judgment of non-specified intrusion data. At this time, it is judged as the original item. If it is a new item, a new threshold is formed. If this new threshold is expressed as an intrusion microwave threshold, such as a new hazardous compound, a new electrical equipment, etc., then this new threshold is stored as the intrusion microwave threshold to facilitate the subsequent judgment of the intrusion microwave threshold.

[0037] Reference Figure 3, further comprising the following steps: S3, obtaining a plurality of detection microwave data; S31, determining three-dimensional detection field data through a plurality of detection microwave data and a preset output position threshold; S32, determining a stereo microwave threshold through a plurality of normal microwave thresholds and an output position threshold; S33, determining variable microwave data through the stereoscopic detection field data and the stereoscopic microwave threshold; S34, determining the intrusion signal through the variable microwave data and the preset stereo microwave threshold and outputting it.

[0038] In detail: multiple detection chips obtain multiple detection microwave data, and the output position threshold is the position coordinate of the detection chip that outputs the detection microwave signal. According to the output position threshold corresponding to the detection chip and the obtained detection microwave data, three-dimensional stereo detection field data can be detected; and the normal microwave threshold is combined with the corresponding output position threshold to obtain the three-dimensional microwave threshold. Conversely, if the user first obtains the three-dimensional microwave threshold through three-dimensional software modeling, and then combines the output position threshold corresponding to each detection chip, the normal microwave threshold corresponding to each detection chip can also be obtained; the three-dimensional detection field data obtained by detection is compared with the allowed three-dimensional microwave threshold to obtain variable microwave data. The variable microwave data is three-dimensional data that is not within the allowed data range. The variable microwave data contains the coordinates of the detected object. Continuous coordinates can be connected to form the shape of the object, thereby obtaining the volume. The reflection frequency and amplitude of the microwave can obtain the material used for the object, and then it is calculated with the three-dimensional microwave threshold to obtain whether it is a prohibited object, thereby outputting an intrusion signal to the security room.

[0039] Reference Figure 4 , further comprising the following steps: S4, variable microwave data includes variable microwave position data, stereo microwave threshold includes stereo coordinate threshold and working volume threshold, intrusion signal includes intrusion alarm signal, emergency transport signal and slow transport signal; S41, determining intrusion movement data through variable microwave position data and time data; S42, determining an intrusion alarm signal based on the intrusion movement data and a preset intrusion movement threshold and outputting the signal; S43, determining an intrusion alarm signal through the variable microwave position data and the stereo coordinate threshold; S44, or obtain the latest working status data, determine the emergency transport signal or slow transport signal through the variable microwave position data, the three-dimensional coordinate threshold, the latest working status data, the working volume threshold, and the working efficiency threshold, and output it.

[0040] Detailed: If the time data is 1.1 s and the variable microwave position data is (x, y), and if the time data is 1.2 s and the variable microwave position data is (x1, y1), then it can be obtained that the detected item is moving at a speed of (x1 - x) / 0.1 in the x-axis direction and (y1 - x) / 0.1 in the y-axis direction. This is the intrusion movement data. Then, the intrusion movement data calculated after detection is compared with the intrusion movement threshold. The intrusion movement threshold includes the threshold for direction and the threshold for speed. By judging the direction and magnitude of the movement speed, it is determined whether to output an intrusion alarm signal to the security room. For example, if it is moving in a direction that is getting farther away, even if the speed exceeds the threshold, it is judged to be safe and no intrusion alarm signal is output. If it is moving in a parallel direction, an intrusion alarm signal will be output when the speed exceeds the threshold. If it is moving in a direction that is getting closer, even if the speed does not exceed the threshold, an intrusion alarm signal will be triggered. If the variable microwave position data does not fall within the coordinate range represented by the three-dimensional coordinate threshold indicating prohibited entry, no intrusion alarm signal will be triggered, but calculations will still be performed to prevent interference with other operations. For example, a wooden box is placed on the road where stacking or temporary placement is allowed, but to prevent blocking subsequent transportation, the wooden box needs to be placed on the edge of the road and not in the middle of the road. The continuous variable microwave position data can be used to obtain the coordinates and size of the detected item, and the three-dimensional coordinate threshold includes the allowable range of the position where this item is located. The working volume threshold is the size of the space required for the work. For example, if the working volume threshold is set to 5 and the three-dimensional coordinate threshold is [(a, b), (a1, b1)], it means that the interval between the coordinates (a, b) and (a1, b1) is the allowable placement range. If the variable microwave position data is [(a2, b2), (a3, b3)], at this time, the position and size of the detected item are between the coordinates (a2, b2) and (a3, b3), and the coordinates (a2, b2) to (a3, b3) are between the coordinates (a, b) and (a1, b1). If a < a2 < a3 < a1 and b < b2 < b3 < b1, and 5 indicates that the space distance between the coordinates (a, b) and (a2, b2) is greater than 5 units, or the space distance between the coordinates (a3, b3) and (a1, b1) is greater than 5 units. If it is greater than 5 units, no signal will be output;If it is less than 5 units, then the most recent working status data is judged. The most recent working status data represents the coordinates of the most recent working object detected at this time. If in a factory building, the coordinates of the nearest user or trolley transporting on this road are (a4, b4), and the work efficiency threshold is the requirement for the slowest work efficiency. Let the work efficiency threshold be (q, w), which means that the user transports at the slowest speed of q units. At this time, the time t required to move the items interfering with the work at the slowest speed is the shortest distance between the coordinates (a4, b4) and [(a2, b2), (a3, b3)] at a speed of q units, and then t is compared with w. If t < w, an emergency handling signal is output to notify the nearest staff to perform emergency handling and give priority to handling here by putting down the current work. If w < t, a slow handling signal is output to notify the staff that they can handle the work here after the current work is completed, or notify the farther available staff to handle it; and if the wooden boxes in this factory building are replaced with obstacles on the parking lot road, it is the same principle, and the time for the nearest vehicle to reach the obstacle is calculated to prompt the security room about the urgency level.

[0041] Refer to Figure 5 , further including the following steps: S5. The variable microwave data includes variable microwave material data, and the three-dimensional microwave threshold includes the material threshold; S51. Determine the material ratio data through continuous variable microwave position data and microwave material data; S52. Determine and output the intrusion signal through the variable microwave material data, material ratio data and material threshold.

[0042] Specifically: After the variable microwave position data and microwave material data are corresponded, that is, by combining the frequency, amplitude and the time of sending and returning of the microwave signal representing the material received, the coordinates corresponding to this material can be obtained. By associating the continuous coordinates to the same item, the material change on this item can be obtained, which is the material ratio data. Then, by comparing this with the material threshold, it is possible to judge whether there is an intrusion when the item is known, such as a human carrying dangerous goods. It is also possible to judge the danger when the item is unknown but part of it is known. For example, a box sprinkled with dangerous chemicals. Although this combination is unknown, the box is a known non-intrusive item, and the dangerous chemical is a known intrusive and prohibited item, so it can be judged that this is a prohibited item, and then the corresponding intrusion signal is output to the user.

[0043] Refer to Figure 6 , further including the following steps: S6. Determine the cross-detection data through multiple detection microwave data and the output position threshold; S61, determining detection continuity by cross-detection data and outputting position thresholds; S62. Determine a fault signal by detecting continuity and preset continuity and output it.

[0044] In detail: The starting point and direction of the detected microwave data can be obtained according to the output position threshold, and the detection data of the entire three-dimensional space can be obtained by combining multiple detection chips. The cross-detection data is the overlapping part of the detection microwave data obtained by multiple detection chips according to the starting point and direction; the data at the overlapping position is the data for detecting the same object. If the data is normal, the detected detection microwave data should be continuous. If the continuity is too low, it is judged that the detection chip is faulty, and the obtained data may be inaccurate.

[0045] The present application embodiment discloses a smart wall intrusion detection system. Figure 7 The smart wall intrusion detection system includes a detection component 1 and a data processing module 2. The detection component 1 uses a detection chip. The user inputs a detection microwave signal into the data processing module 2, and the data processing module 2 outputs the detection microwave signal to the detection component 1 to send the desired microwave for detection, and then receives the returned microwave signal, which is the detection microwave data, and outputs the detection microwave data to the data processing module 2 for data calculation.

[0046] The data processing module 2 includes a processor and a database. The database is used to store various threshold data, such as normal microwave threshold, intrusion microwave threshold, output position threshold, three-dimensional microwave threshold, work efficiency threshold, three-dimensional coordinate threshold, etc. After the processor receives the detection microwave data, it calls the corresponding threshold data from the database for calculation, obtains the intrusion signal and then outputs it.

[0047] The processor may include a central processing unit such as a CPU or MPU or a host system built around a CPU or MPU, including hardware or software. After the meter has a processor, people can freely control the metering instrument through programming to make it run according to people's wishes. The processor can control local measurement transmission, remote measurement transmission, remote communication, etc. through internal protocols. Internal protocols refer to all protocols that achieve mutual communication or links within the same metering instrument or the same system, including: human-computer interaction protocols, software / hardware (interface) protocols, chip bus (C-Bus) protocols, internal bus (I-Bus) protocols, etc. Part or all of the protocols. With the development of integrated circuit technology, some protocols that belong to the external bus (E-Bus) protocol are also classified as internal protocols after the external bus (E-Bus) is integrated into the chip.

[0048] The present application embodiment discloses a computer-readable storage medium. Figure 1The computer-readable storage medium stores a computer program that can be loaded by a processor and execute the smart wall intrusion detection method.

[0049] Computer-readable storage media include, for example, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0050] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A smart wall intrusion detection method, characterized in that: include: Output preset detection microwave signal, receive and acquire detection microwave data, and acquire time data; Determining additional microwave data by comparing the detected microwave data with a preset normal microwave threshold; An intrusion signal is determined and outputted through the additional microwave data, the time data and a preset intrusion microwave threshold.

2. A smart wall intrusion detection method according to claim 1, characterized in that: include: Determine and output the non-specified intrusion data by using the additional microwave data and the intrusion microwave threshold; Get record data; Determine a new threshold value by using the non-specified intrusion data and the recorded data; The new intrusion microwave threshold is determined by the newly added threshold and the original intrusion microwave threshold.

3. A smart wall intrusion detection method according to claim 1, characterized in that: include: Acquire a plurality of the detected microwave data; Determine the three-dimensional detection field data by using the plurality of the detection microwave data and a preset output position threshold; Determine a stereo microwave threshold value by using a plurality of the normal microwave threshold values ​​and the output position threshold value; Determine variable microwave data by using the stereoscopic detection field data and the stereoscopic microwave threshold; The intrusion signal is determined and outputted through the variable microwave data and a preset stereo microwave threshold.

4. A smart wall intrusion detection method according to claim 3, characterized in that: include: The variable microwave data includes variable microwave position data, the stereo microwave threshold includes a stereo coordinate threshold and a working volume threshold, and the intrusion signal includes an intrusion alarm signal, an emergency transport signal, and a slow transport signal; Determine intrusion movement data by using the variable microwave position data and the time data; Determine the intrusion alarm signal based on the intrusion movement data and a preset intrusion movement threshold and output it; Determining the intrusion alarm signal by using the variable microwave position data and the stereo coordinate threshold; Or obtain the latest work status data; The emergency transport signal or the slow transport signal is determined and outputted through the variable microwave position data, the stereo coordinate threshold, the most recent working status data, the working volume threshold, and a preset working efficiency threshold.

5. A smart wall intrusion detection method according to claim 4, characterized in that: include: The variable microwave data includes variable microwave material data, and the stereo microwave threshold includes a material threshold; Determine material ratio data through the continuous variable microwave position data and the microwave material data; The intrusion signal is determined and outputted through the variable microwave material data, the material ratio data and the material threshold.

6. A smart wall intrusion detection method according to claim 3, characterized in that: include: Determine cross-detection data by using a plurality of the detected microwave data and the output position threshold; Determining detection continuity through the cross detection data and the output position threshold; A fault signal is determined by the detection continuity and the preset continuity and is outputted.

7. A smart wall intrusion detection system, using the smart wall intrusion detection method according to claim 1, characterized in that: include: A detection element (1) is used to form a microwave detection field according to the detection microwave signal, and receive the microwave signal returned by the microwave detection field to form the detection microwave data output; The data processing module (2) is used to receive the detected microwave data, perform data calculation processing, obtain the intrusion signal and output it to the user.

8. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes a smart wall intrusion detection method as claimed in any one of claims 1 to 6.

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