Adaptive electronic fence alarm method and system capable of configuring scene

Abstract

The invention discloses a scene-configurable self-adaptive electronic fence alarm method and system, and relates to the field of sensing detection, and the method comprises the following steps: 1, deploying four infrared sensors to form a quadrilateral fence structure, enabling the adjacent sensors to transmit and receive infrared rays through a directional infrared transmitter and a directional infrared receiver, establishing a bidirectional infrared detection link; step 2, constructing a programmable warning strategy library, associating different intrusion scenes and alarm logics, and pre-defining intrusion scene thresholds of personnel, animals or moving objects according to the coverage proportion and duration of infrared shielding; by introducing intelligent scene recognition based on the coverage range and the duration time, through dual-threshold judgment and intermittent fluctuation analysis, personnel, objects and animals are effectively distinguished, so that differential alarm is realized, the false alarm rate is greatly reduced, a user is allowed to preset different acousto-optic combinations for different scenes, and the alarm behavior is more intelligent and effective.

Description

Technical Field

[0001] This invention relates to the field of sensing and detection technology, specifically to an adaptive electronic fence alarm method and system with configurable scenarios. Background Technology

[0002] As society's demand for security increases, the application scenarios of electronic fences have expanded from traditional military and industrial sites to civilian and commercial fields such as smart communities, villas, farms, construction sites, solar power plants, and warehouses. Different scenarios have put forward completely different requirements for the definition of intruders and alarm response methods.

[0003] Traditional systems trigger alarms whenever the beam is blocked, unable to distinguish between people, animals, or plastic bags blown by the wind. This leads to user apathy and a lack of proactive response to alarms. The same sound and light alarm is used for all triggers, lacking specificity; for example, it cannot gently scare away stray animals while strongly deterring malicious intruders. Fixed-power infrared sensors experience signal attenuation with increased spacing or in adverse weather conditions such as rain or fog, potentially leading to missed or false alarms. The system cannot automatically adjust to environmental changes. A single device may require different security strategies in different geographical locations, necessitating manual reconfiguration of traditional systems, which is extremely cumbersome. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] In view of the above-mentioned shortcomings of the existing technology, the present invention provides an adaptive electronic fence alarm method and system with configurable scenarios, which can effectively solve the problems of the existing technology.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] This invention discloses a configurable scene-adaptive electronic fence alarm method, comprising the following steps:

[0009] Step 1: Deploy four infrared sensors to form a quadrilateral fence structure. Adjacent sensors transmit and receive infrared rays from each other through directional infrared transmitters and receivers, establishing a two-way infrared detection link.

[0010] Step 2: Build a programmable warning strategy library, associate different intrusion scenarios with alarm logic, predefine the intrusion scenario thresholds for people, animals or moving objects based on the coverage ratio and duration of infrared blocking, and pre-set the alarm logic for different intrusion scenarios, which are combinations of warning voice content and light flashing frequency.

[0011] Step 3: Based on the geographic location information obtained by the built-in positioning component, call the geofence matching algorithm to automatically load the preset scene strategy for the area;

[0012] Step 4: When an intrusion event occurs, the infrared sensor analyzes the coverage ratio and duration of infrared occlusion in real time, compares it with the preset intrusion scenario threshold, and matches the corresponding intrusion scenario type.

[0013] Step 5: When any infrared link is blocked, the corresponding audible and visual alarm action is triggered. The audible and visual alarm action includes flashing red and blue dual-color lights and playing a preset warning voice through the speaker, and an event log is generated.

[0014] Step 6: When there is no intrusion event, enable the low-power event response mechanism. The system is normally in sleep mode, and only activates the alarm mechanism for the corresponding scenario when the infrared link is interrupted. After the alarm ends, it returns to sleep mode.

[0015] Furthermore, in step 1, the spacing between infrared sensors can be dynamically configured, and the spacing between adjacent sensors can be obtained in real time. When the spacing is greater than a preset distance, the anti-interference enhancement mode is activated, the infrared emission power is increased to a preset ratio of the reference value, the sensitivity threshold of the receiving end is reduced to a preset ratio, and a bidirectional link is established between adjacent infrared sensors through encrypted frequency hopping infrared signals.

[0016] Furthermore, the process of calling the geofence matching algorithm to automatically load the preset scene strategy in step 3 includes: obtaining the latitude and longitude coordinates of the device in real time through the built-in positioning component, comparing the coordinate data with the geofence boundary dataset pre-stored on the cloud server in real time, and when the coordinates fall into the preset polygon geofence area, downloading the scene strategy configuration file bound to the fence ID from the server to the local storage.

[0017] Furthermore, the loading process of the scenario policy configuration file is as follows: parsing the scenario policy ID in the configuration file, matching the corresponding intrusion scenario threshold and alarm logic parameter set in the local programmable warning policy library according to the ID index, and sending a policy activation command to the infrared sensor group after the parameter loading is completed.

[0018] Furthermore, the process of matching the corresponding intrusion scenario type in step 4 is as follows:

[0019] If the occlusion area exceeds a preset first threshold and the duration exceeds a preset second threshold, it is identified as a person;

[0020] If the occlusion area exceeds a preset first threshold but the duration is shorter than a preset second threshold, it is identified as an object;

[0021] If the occlusion area is less than a preset first threshold and the duration fluctuates intermittently, it is identified as an animal.

[0022] Furthermore, the preset warning voice in step 5 supports dynamic customization. It receives externally input voice files through a USB interface or wireless communication module, stores the voice files in the memory according to the scene ID, and binds them to the alarm logic in the policy library.

[0023] Furthermore, the event log in step 5 records the occurrence time, geographical location, identified intruder type, and alarm strategy of each intrusion event, and reports the event log to the cloud server or user terminal.

[0024] The system uses four infrared sensors to construct a quadrilateral fence structure, including:

[0025] The infrared sensing module is used to deploy four infrared sensors to build a quadrilateral fence structure. Adjacent sensors establish a two-way infrared detection link with the receiver through a directional infrared transmitter. It monitors the distance between adjacent sensors in real time and activates an anti-interference enhancement mode when the distance exceeds a preset distance threshold.

[0026] The programmable policy library module is used to store the mapping relationship between multiple intrusion scenarios and corresponding alarm logic;

[0027] The geofence strategy matching module is used to locate real-time geographic location information and automatically select a preset scene strategy associated with the current geographic location based on the geofence matching algorithm.

[0028] The intrusion scene recognition module is used to analyze the coverage ratio and duration of infrared occlusion in real time when an intrusion event is detected, and compare the analysis results with the predefined thresholds in the programmable warning strategy library module to define the intrusion scene type.

[0029] The audible and visual alarm execution module is used to obtain the corresponding alarm logic from the programmable warning strategy library module and execute the corresponding audible and visual alarm action when the infrared detection link is blocked and the alarm conditions are met.

[0030] The event log recording module is used to generate an event log after each alarm event occurs, including the time of the event, geographical location, type of intruder, and the alarm policy executed. The event log is uploaded to the cloud server or user terminal through the communication interface.

[0031] The event response management module is used to put the system into a low-power sleep state when there is no intrusion event, continuously monitor the infrared link status, wake up the system when an infrared link interruption is detected, start the intrusion analysis and alarm process, and control the system to return to the sleep state after the alarm ends.

[0032] Furthermore, the geofence matching algorithm of the fence strategy matching module performs the following steps:

[0033] Obtain real-time satellite positioning coordinates and map them to a preset geographic grid coordinate system;

[0034] Calculate the Euclidean distance between this coordinate and the center point of all preset scene strategies;

[0035] Select the three nearest strategy center points to form a triangular region;

[0036] If the real-time coordinates are within this triangular area, then the scene strategy corresponding to this triangular area is activated;

[0037] If the coordinates are outside all triangular regions, the basic alert strategy is enabled by default.

[0038] Furthermore, the infrared sensing module is interconnected with the programmable strategy library module, the fence strategy matching module, the intrusion scene recognition module, the event log recording module, and the event response management module via a wireless network, and the intrusion scene recognition module is interconnected with the audible and visual alarm execution module via a wireless network.

[0039] (III) Beneficial Effects

[0040] Compared with the known prior art, the technical solution provided by this invention has the following beneficial effects:

[0041] 1. By using intelligent scene recognition based on coverage and duration, and through dual threshold judgment and intermittent fluctuation analysis, it effectively distinguishes between people, objects and animals, thereby achieving differentiated alarms, greatly reducing the false alarm rate. It has also built a programmable warning strategy library, allowing users to preset different sound and light combinations for different scenarios, making alarm behavior more intelligent and effective.

[0042] 2. By introducing an anti-interference enhancement mode, the system can dynamically monitor the sensor spacing. When the distance is too large, it automatically increases the transmission power and decreases the receiving sensitivity. It also uses encrypted frequency hopping signals to combat interference and ensure the reliability of the link. The system integrates a geofencing function, which automatically identifies the location of the device and loads the preset strategy for that area, thus achieving regional adaptive management.

[0043] 3. A low-power event response mechanism is adopted. The system is normally in a sleep state and is only activated when the infrared link is interrupted. After the alarm ends, it immediately returns to sleep, thereby reducing the overall power consumption. It also supports dynamic customization of warning voices to meet users' personalized customization needs. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0045] Figure 1 This is a flowchart illustrating the adaptive electronic fence alarm method of the present invention;

[0046] Figure 2 This is a schematic diagram of the adaptive electronic fence alarm system of the present invention.

[0047] The labels in the diagram represent: 1. Infrared sensing module; 2. Programmable policy library module; 3. Fence policy matching module; 4. Intrusion scene recognition module; 5. Audible and visual alarm execution module; 6. Event log recording module; 7. Event response management module. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0049] The present invention will be further described below with reference to embodiments.

[0050] This embodiment presents a configurable scene-adaptive electronic fence alarm method, such as... Figures 1-2 As shown, it includes the following steps:

[0051] Step 1: Deploy four infrared sensors to form a quadrilateral fence structure. Adjacent sensors establish a two-way infrared detection link by transmitting and receiving infrared rays through directional infrared transmitters and receivers. The spacing between infrared sensors can be dynamically configured, and the spacing between adjacent sensors is acquired in real time. When the spacing exceeds a preset distance, an anti-interference enhancement mode is activated, increasing the infrared transmission power to a preset percentage of the baseline value and lowering the receiver sensitivity threshold to a preset percentage. A two-way link is established between adjacent infrared sensors through encrypted frequency-hopping infrared signals. Any unidirectional obstruction or interference can be detected instantly. Compared to a unidirectional link, this greatly reduces the false alarm and false negative rates, allowing the fence to flexibly adapt to areas of different sizes. When the increased spacing leads to the risk of signal attenuation, the system can intelligently activate the anti-interference enhancement mode to ensure the stability of the link and the detection range in complex environments.

[0052] Step 2: Construct a programmable alert strategy library, associating different intrusion scenarios with alarm logic. Based on the coverage ratio and duration of infrared obstruction, predefine intrusion scenario thresholds for people, animals, or moving objects, and pre-set alarm logic combinations of alert voice content and light flashing frequencies corresponding to different intrusion scenarios. This enables the system to distinguish threat levels and issue the most targeted alerts, allowing users to flexibly set and adjust alarm strategies according to the needs of specific application scenarios, greatly improving the system's applicability and user experience.

[0053] Step 3: Based on the geographical location information obtained by the built-in positioning component, the system automatically loads the preset scene policy for the area using a geofence matching algorithm. The process of automatically loading the preset scene policy using the geofence matching algorithm includes: obtaining the device's latitude and longitude coordinates in real time through the built-in positioning component; comparing the coordinate data with the geofence boundary dataset pre-stored on the cloud server in real time; when the coordinates fall within a preset polygonal geofence area, downloading the scene policy configuration file bound to that geofence ID from the server to local storage; and loading the scene policy configuration file by parsing the scene policy ID in the configuration file, matching the corresponding intrusion scene threshold and alarm logic parameter set in the local programmable alert policy library based on the ID index, and sending a policy activation command to the infrared sensor group after parameter loading is complete. The system can automatically load the corresponding scene policy based on its own geographical location, eliminating the need for manual mode switching by the user. Users only need to draw the fence and bind the policy on the cloud map to easily deploy and update settings for countless locations, greatly facilitating large-scale applications.

[0054] Step 4: When an intrusion event occurs, the infrared sensor analyzes the coverage ratio and duration of infrared occlusion in real time, compares it with a preset intrusion scenario threshold, and matches the corresponding intrusion scenario type. The process of matching the corresponding intrusion scenario type is as follows:

[0055] If the occlusion area exceeds a preset first threshold and the duration exceeds a preset second threshold, it is identified as a person;

[0056] If the occlusion area exceeds a preset first threshold but the duration is shorter than a preset second threshold, it is identified as an object;

[0057] If the occlusion area is less than a preset first threshold and the duration fluctuates intermittently, the animal is identified. This behavior-based identification method is more advanced than simply detecting occlusion, improving accuracy and providing a basis for executing appropriate alarm strategies.

[0058] Step 5: When any infrared link is blocked, a corresponding audible and visual alarm is triggered. The alarm includes flashing red and blue lights and a pre-set warning message playing through a speaker, and an event log is generated. The pre-set warning message can be dynamically customized; externally input voice files are received via USB interface or wireless communication module, stored in memory by scene ID, and bound to the alarm logic in the policy library. The event log records the time, geographical location, type of intruder identified, and alarm strategy adopted for each intrusion event, and reports the event log to the cloud server or user terminal. Combining audible and visual alarms simultaneously attracts attention more quickly and strongly, providing a good warning effect day or night.

[0059] Step 6: When no intrusion event occurs, the low-power event response mechanism is activated, and the system is normally in sleep mode. The alarm mechanism for the corresponding scenario is activated only when the infrared link is interrupted, and returns to sleep mode after the alarm ends. This normally sleep mode design results in extremely low power consumption for most of the non-intrusion periods, making it particularly suitable for battery-powered or solar-powered applications, extending the device's operating time and reducing maintenance requirements.

[0060] Compared with existing technologies, dynamic spacing perception and anti-interference enhancement modes ensure the reliability of the link in complex environments. Multi-dimensional scene recognition algorithms based on occlusion range and duration significantly reduce the false alarm rate. The use of programmable policy library and geofence matching enables scene-based adaptation and regional intelligent loading of alarm policies. At the same time, the combination of low-power sleep and event-driven mechanisms greatly reduces system energy consumption. Support for dynamic voice customization and cloud log reporting enhances the flexibility and manageability of the system.

[0061] At other levels, this embodiment provides a configurable scene-adaptive electronic fence alarm system, including:

[0062] Infrared sensing module 1 is used to deploy four infrared sensors to build a quadrilateral fence structure. Adjacent sensors establish a two-way infrared detection link with the receiver through a directional infrared transmitter. It monitors the distance between adjacent sensors in real time and activates an anti-interference enhancement mode when the distance exceeds a preset distance threshold.

[0063] Programmable policy library module 2 is used to store the mapping relationship between multiple intrusion scenarios and corresponding alarm logic;

[0064] The geofencing strategy matching module 3 is used to locate real-time geographic location information and automatically select a preset scene strategy associated with the current geographic location based on the geofencing matching algorithm; the geofencing matching algorithm of the geofencing strategy matching module 3 performs the following steps:

[0065] Obtain real-time satellite positioning coordinates and map them to a preset geographic grid coordinate system;

[0066] Calculate the Euclidean distance between this coordinate and the center point of all preset scene strategies;

[0067] Select the three nearest strategy center points to form a triangular region;

[0068] If the real-time coordinates are within this triangular area, then the scene strategy corresponding to this triangular area is activated;

[0069] If the coordinates are outside all triangular regions, the basic alert strategy is enabled by default.

[0070] The intrusion scene recognition module 4 is used to analyze the coverage ratio and duration of infrared occlusion in real time when an intrusion event is detected, and compare the analysis results with the predefined thresholds in the programmable warning strategy library module to define the intrusion scene type.

[0071] The audible and visual alarm execution module 5 is used to obtain the corresponding alarm logic from the programmable warning strategy library module and execute the corresponding audible and visual alarm action when the infrared detection link is blocked and the alarm conditions are met.

[0072] The event log recording module 6 is used to generate an event log after each alarm event occurs, including the time of the event, geographical location, type of intruder, and the alarm policy executed. The event log is uploaded to the cloud server or user terminal through the communication interface.

[0073] The event response management module 7 is used to put the system into a low-power sleep state when there is no intrusion event, continuously monitor the infrared link status, wake up the system when an infrared link interruption is detected, start the intrusion analysis and alarm process, and control the system to return to the sleep state after the alarm ends.

[0074] The infrared sensing module 1 is connected to the programmable policy library module 2, the fence policy matching module 3, the intrusion scene recognition module 4, the event log recording module 6, and the event response management module 7 via a wireless network. The intrusion scene recognition module 4 is also connected to the audible and visual alarm execution module 5 via a wireless network.

[0075] In summary, when implemented, this invention can accurately distinguish different intrusion scenarios such as people, animals, or moving objects by analyzing the range and duration of infrared obstruction, and trigger differentiated alarms. This effectively avoids false alarms caused by the inability of traditional systems to identify target types. The invention also dynamically adjusts the transmission power and receiving sensitivity according to the sensor spacing and uses encrypted frequency hopping technology to ensure the stability of the detection link in complex environments or weather conditions, and eliminates missed alarms caused by signal attenuation.

[0076] It integrates multiple functions such as automatic geofencing loading strategy, programmable sound and light warning strategy library, low-power sleep wake-up and cloud log reporting, and realizes full-process automation and intelligence from policy configuration, intrusion detection, alarm execution to remote management, improving user experience. The event-driven low-power sleep mechanism makes the system consume very little energy when not under alarm conditions, making it very suitable for long-term deployment in fields, border areas, farms and other scenarios without mains power, such as those powered by solar or batteries, thus expanding the application boundaries.

[0077] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A configurable scene adaptive electric fence alarm method, characterized in that, The method comprises the following steps: Step 1: deploying four infrared sensors to form a quadrilateral fence structure, and establishing a two-way infrared detection link through directional infrared emission and reception between adjacent sensors; Step 2: constructing a programmable warning strategy library, associating different intrusion scenarios with alarm logic, and predefining the intrusion scenario threshold of personnel, animals or moving objects according to the coverage range ratio and duration of infrared obstruction, and pre-setting the alarm logic of the combination of the warning voice content and the light flashing frequency corresponding to different intrusion scenarios; Step 3: calling a geographic fence matching algorithm to automatically load the preset scene strategy of the region according to the geographic position information obtained by the built-in positioning component; Step 4: when there is an intrusion event, the infrared sensor analyzes the coverage range ratio and duration of the infrared obstruction in real time, compares it with the preset intrusion scenario threshold, and matches the corresponding intrusion scenario type; Step 5: when any infrared link is obstructed, trigger the corresponding sound and light alarm action, which includes red and blue light flashing and preset warning voice played by the loudspeaker, and generate an event log; Step 6: when there is no intrusion event, enable a low-power event response mechanism, and the system is in a dormant state, only activates the alarm mechanism of the corresponding scene when the infrared link is interrupted, and returns to the dormant state after the alarm is over.

2. The configurable context-adaptive electronic fence alerting method of claim 1, wherein, The distance between the infrared sensors in step 1 can be dynamically configured, and the distance between adjacent sensors is obtained in real time. When the distance is greater than the preset distance, the anti-interference enhancement mode is activated, the infrared emission power is increased to a preset proportion of the reference value, and the receiving end sensitivity threshold is lowered to a preset proportion. Adjacent infrared sensors establish a two-way link through encrypted frequency hopping infrared signals.

3. The configurable context-adaptive electronic fence alerting method of claim 1, wherein, The process of calling a geographic fence matching algorithm to automatically load the preset scene strategy in step 3 includes: obtaining the device latitude and longitude coordinates in real time through the built-in positioning component, comparing the coordinate data with the pre-stored geographic fence boundary data set of the cloud server in real time, and when the coordinates fall within the preset polygon geographic fence area, downloading the scene strategy configuration file bound to the fence ID from the server to the local storage.

4. The configurable context-adaptive electronic fence alerting method of claim 3, wherein, The loading process of the scene strategy configuration file is: parsing the scene strategy ID in the configuration file, matching the corresponding intrusion scenario threshold and alarm logic parameter set in the local programmable warning strategy library according to the index of the ID, and sending a strategy activation instruction to the infrared sensor group after completing parameter loading.

5. The configurable context-adaptive electronic fence alerting method of claim 1, wherein, The process of matching the corresponding intrusion scenario type in step 4 is: If the obstruction range exceeds the preset first threshold and the duration exceeds the preset second threshold, it is identified as personnel; If the obstruction range exceeds the preset first threshold but the duration is shorter than the preset second threshold, it is identified as an object; If the obstruction range is less than the preset first threshold and the duration is intermittent, it is identified as an animal.

6. The configurable context-adaptive electronic fence alerting method of claim 1, wherein, The preset warning voice in step 5 supports dynamic customization, and the voice file is received through the USB interface or the wireless communication module, and the voice file is stored in the storage according to the scene ID and bound to the alarm logic in the strategy library.

7. The configurable context-adaptive electronic fence alerting method of claim 1, wherein, The event log in step 5 records the occurrence time, geographical location, type of identified intruder and alarm strategy taken of each intrusion event, and reports the event log to the cloud server or user terminal.

8. A configurable scenario adaptive electric fence alarm system, said system is an implementation system of the configurable scenario adaptive electric fence alarm method according to any one of claims 1-7, characterized in that, It comprises: An infrared sensing module (1) is used to deploy four infrared sensors to construct a quadrilateral fence structure, and a bidirectional infrared detection link is established between adjacent sensors through directional infrared transmitters and receivers to monitor the distance between adjacent sensors in real time, and when the distance exceeds a preset distance threshold, an anti-interference enhancement mode is started; A programmable strategy library module (2) is used to store the mapping relationship between multiple intrusion scenes and corresponding alarm logic; A fence strategy matching module (3) is used to locate real-time geographical location information and automatically select a pre-set scene strategy associated with the current geographical location based on a geographical fence matching algorithm; An intrusion scene identification module (4) is used to analyze the coverage range proportion and duration of infrared obstruction in real time when an intrusion event is detected, and compare the analysis result with the pre-defined threshold in the programmable alarm strategy library module to define the intrusion scene type; An audible and light alarm execution module (5) is used to obtain the corresponding alarm logic from the programmable alarm strategy library module according to the intrusion scene type output by the intrusion scene real-time analysis and matching module when the infrared detection link is obstructed and the alarm condition is met, and perform the corresponding audible and light alarm action; An event log recording module (6) is used to generate an event log including the event occurrence time, geographical location, intruder type and executed alarm strategy after each alarm event occurs, and the event log is uploaded to the cloud server or user terminal through a communication interface; An event response management module (7) is used to put the system into a low-power sleep state when there is no intrusion event, continuously monitor the infrared link state, and wake up the system when an infrared link interruption is detected, start the intrusion analysis and alarm process, and control the system to return to the sleep state after the alarm is over.

9. The configurable context-adaptive electronic fence alarm system of claim 8, wherein, The geographical fence matching algorithm of the fence strategy matching module (3) performs the following steps: Obtain real-time satellite positioning coordinates and map them to a pre-set geographical grid coordinate system; Calculate the Euclidean distance between the coordinates and all pre-set scene strategy center points; Select the three closest strategy center points to form a triangular region; If the real-time coordinates are located within the triangular region, activate the scene strategy corresponding to the triangular region; If the coordinates are located outside all triangular regions, the default basic alert strategy is enabled.

10. The configurable context-adaptive electronic fence alarm system of claim 8, wherein, The infrared sensing module (1) and the programmable strategy library module (2), the fence strategy matching module (3), the intrusion scene identification module (4), the event log recording module (6) and the event response management module (7) are connected through a wireless network, and the intrusion scene identification module (4) and the audible and light alarm execution module (5) are connected through a wireless network.

Images