Intelligent alarm system for business place

Abstract

The utility model discloses an intelligent alarm system for a business place, relates to the technical field of intelligent alarm, and solves the problem that the normal operation of the business place is affected under the condition that forgetting to forget defense or failing to withdraw defense in time. The alarm system comprises a human body recognition device, a comprehensive server and a defense setting and withdrawing module. The human body recognition device comprises a plurality of human body monitoring sensors arranged in a business place and further comprises a face recognition camera device arranged in the business place. The integrated server comprises a central controller and a timing module; the central controller is used for receiving the human body detection data sent by the human body recognition device and sending a corresponding instruction to the defense setting and withdrawing module; the timing module is used for receiving the fortification information sent by the fortification and disarming module and starting timing after receiving the fortification information, and the timing module is further used for sending timing ending information to the central controller; and the fortification and disarming module starts a business place fortification state or a business place disarming state according to the received instruction.

Description

Technical Field

[0001] The present application relates to the field of intelligent alarm technology, and in particular to an intelligent alarm system for business premises. Background Art

[0002] In today's society, in order to ensure property safety, more and more business premises choose to install security equipment such as monitoring and alarm facilities, and set up defenses after the end of business every day, in order to ensure property safety while providing customers with a safer and more secure consumption environment.

[0003] These security devices are typically activated after the close of business each day. Through real-time monitoring and intelligent alarm functions, they can immediately detect and respond to potential threats, effectively reducing property losses and protecting the company's economic interests. However, in actual application, these security devices are not omnipotent, and their effectiveness is often affected by human factors.

[0004] Specifically, due to employee negligence in their daily work, they may forget to arm the system or fail to do so. This not only prevents security equipment from functioning properly at critical moments but also poses potential safety risks to the business. If employees fail to disarm the system before business hours close, false alarms may occur, disrupting the normal operation of the business premises. Utility Model Content

[0005] The present application provides an intelligent alarm system for business premises, which is used to solve the problem of losses to the normal operation of the business premises caused by employees forgetting to arm the alarm, unsuccessful arming operations, and failure to disarm the alarm in time.

[0006] The technical solutions adopted in this application are:

[0007] The present application provides an intelligent alarm system for business premises, which includes: a human body recognition device, an integrated server and an arming and disarming module; the human body recognition device includes a plurality of human body monitoring sensors arranged at the business premises, and also includes a face recognition camera device arranged at the business premises; the integrated server includes a central controller and a timing module; the central controller is used to receive human body detection data sent by the human body recognition device, and send corresponding instructions to the arming and disarming module; the timing module is used to receive arming information sent by the arming and disarming module, and start timing after receiving the arming information, and the timing module is also used to send timing end information to the central controller; the arming and disarming module starts the arming state or the disarming state of the business premises according to the received instructions.

[0008] The present invention also has the following additional features:

[0009] In a feasible implementation, a local area network is formed between the human body recognition device, the integrated server and the arming and disarming module through a switch; the human body recognition device transmits the human body detection data to the integrated server through a network cable; the integrated server sends the corresponding instructions to the arming and disarming module through the local area network.

[0010] In a feasible embodiment, the face recognition camera device includes a face shooting device, a face image storage database and a face comparison module; the face shooting device is used to transmit the captured face image to the face image storage database; the face image storage database is used to locally store the face image; the face comparison module includes a face image verification module and an image parameter setting module; the face image verification module is used to compare and verify the locally stored face image, and the image parameter setting module is used to perform image annotation based on the comparison and verification results.

[0011] In a feasible embodiment, the facial image verification module includes an employee image verification data unit and a customer image verification data unit; the employee image verification data unit is used to compare the locally stored facial image with the employee image, and is also used to send the employee comparison result data to the image parameter setting module; the customer image verification data unit is used to compare the locally stored facial image with the customer image, and is also used to send the comparison result data to the image parameter setting module.

[0012] In a feasible embodiment, the alarm system further includes an alarm indicator light assembly and an alarm buzzer assembly; the alarm indicator light assembly includes a first alarm indicator light and a second alarm indicator light; the alarm buzzer assembly includes a first alarm buzzer and a second alarm buzzer.

[0013] In a feasible embodiment, the first alarm indicator light is connected in series with the first alarm buzzer to alarm for the detected customer face image; the second alarm indicator light is connected in series with the second alarm buzzer to alarm for the detected stranger face image.

[0014] In a feasible implementation manner, the integrated server further includes a memory; the memory is used to store the location data of the human body recognition device, and is also used to store the defense plan data corresponding to the business premises.

[0015] In a feasible implementation manner, the integrated server further includes a display; the display is used to display the human body detection data; and the display is also used to display the defense time.

[0016] In a feasible embodiment, the alarm system also includes a sound recognition device and a smoke recognition device; the sound recognition device is arranged in the business premises, and the sound recognition device is connected to the integrated server; the sound recognition device is used to obtain sound information of the business premises, and analyze the sound information to send the analysis results to the integrated server; the smoke recognition device is arranged in the business premises, and the smoke recognition device is connected to the integrated server, and the smoke recognition device is used to obtain smoke information of the business premises, and analyze the smoke information to send the analysis results to the integrated server.

[0017] In a feasible implementation manner, the alarm system further includes a prompt device; the prompt device is connected to the integrated server; the prompt device is used to issue sound warning information and smoke warning information.

[0018] Due to the adoption of the above technical solution, the beneficial effects achieved by the utility model are as follows:

[0019] 1. The present embodiment utilizes multiple human monitoring sensors and facial recognition cameras to monitor human activity within a business premises, effectively preventing unauthorized intrusion. Facial recognition technology provides highly accurate identity verification, quickly identifying and recording unauthorized individuals, further enhancing the security of the premises. It also enables rapid identification of employees within the business premises, allowing for the timely removal of security measures.

[0020] 2. In the embodiment of the present application, the system automatically detects the arming and disarming status of the premises through the central controller and the timing module, and sends instructions to the arming and disarming modules to realize automatic arming and disarming of the business premises, reducing the tediousness and errors of manual operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0022] Figure 1 This is a schematic diagram of the intelligent alarm system for business premises involved in an embodiment of the present application.

[0023] Among them, 1 is an intelligent alarm system for business premises; 2 is a human recognition device; 3 is a human monitoring sensor; 4 is a face recognition camera device; 5 is an integrated server; 6 is a central controller; 7 is a timing module; and 8 is an arming and disarming module. DETAILED DESCRIPTION

[0024] In order to more clearly illustrate the overall concept of the present application, a detailed description is given below in an illustrative manner in conjunction with the accompanying drawings.

[0025] In order to more clearly understand the above-mentioned objects, features and advantages of the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features therein can be combined with each other in the absence of conflict.

[0026] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present application is not limited to the specific embodiments disclosed below.

[0027] In addition, in the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0028] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0029] In this application, unless otherwise expressly specified or limited, terms such as "installed," "connected," "connect," and "fixed" should be understood in a broad sense. For example, they may refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection, or communication; direct connection or indirect connection through an intermediate medium; and internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on specific circumstances.

[0030] In this application, unless otherwise expressly specified and limited, a first feature "above" or "below" a second feature may be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more embodiments or examples.

[0031] The various embodiments in this specification are described in a progressive manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiments are generally similar to the method embodiments, so the description is relatively simple. For relevant parts, refer to the description of the method embodiments.

[0032] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

[0033] The embodiment of the present application provides a business premises intelligent alarm system 1, Figure 1 This is a schematic diagram of the business premises intelligent alarm system 1 involved in the embodiment of the present application, as shown Figure 1 As shown, the alarm system includes: a human body recognition device 2, an integrated server 5, and an arming and disarming module 8. The human body recognition device 2 includes multiple human body monitoring sensors 3 installed at the business premises, and also includes a facial recognition camera device 4 installed at the business premises. The integrated server 5 includes a central controller 6 and a timing module 7; the central controller 6 is used to receive human body detection data sent by the human body recognition device 2 and send corresponding instructions to the arming and disarming module 8. The timing module 7 is used to receive the arming information sent by the arming and disarming module 8 and start the timing after receiving the arming information. The timing module 7 is also used to send a timing end information to the central controller 6; the arming and disarming module 8 starts the arming state or the disarming state of the business premises according to the received instructions.

[0034] Specifically, the human recognition device 2 is the front-end part of the system, which is used to detect and identify people in the business premises in real time. Multiple human monitoring sensors 3 are distributed in key locations of the business premises, such as entrances, exits, corridors, etc. They are used to detect the movement, presence or specific behaviors of the human body such as wandering, lingering, etc. Among them, the sensor can be an infrared sensor. The face recognition camera device 4 is able to capture and identify the faces of people entering the business premises. The face recognition camera device 4 is installed at the entrance or key areas to capture high-definition images. Once an unauthorized person is identified, the system will immediately trigger an alarm.

[0035] Specifically, the integrated server 5 is the core of the system, responsible for receiving, processing, and analyzing data from the human recognition device 2 and making appropriate decisions. The central controller 6 receives and analyzes data from the sensors. If an abnormality is detected, such as unauthorized entry, the central controller 6 sends instructions to the arming and disarming module 8.

[0036] Specifically, when the arming and disarming module 8 is in the armed state, it will send arming information to the integrated server 5. After receiving this information, the timing module 7 will immediately start timing. During the timing period, the module will continuously monitor the changes in time and stop timing when the preset time threshold is reached. Then, a timing end message is sent to the central controller 6 to notify the system that the current armed state has lasted for a certain period of time. The timing module 7 and the central controller 6 interact through an internal communication mechanism. The timing module 7 reports the timing status and results to the central controller 6 in real time. The central controller 6 can perform corresponding security monitoring and management operations based on the information provided by the timing module 7.

[0037] Specifically, the Arm and Disarm Module 8 is the execution component of the system, responsible for activating or disabling security measures at the business premises based on instructions from the integrated server 5. Armed: When the system is in the Armed state, any unauthorized entry will trigger an alarm. This state is used during non-business hours or periods requiring special protection. Disarmed: When the system is in the Disarmed state, normal entry and exit will not trigger an alarm. This state is used during business hours or periods requiring the temporary removal of security measures.

[0038] In one possible implementation, Figure 1 As shown, a local area network is established between the human recognition device 2, the integrated server 5, and the arming and disarming module 8 via a switch. The human recognition device 2 transmits human detection data to the integrated server 5 via a network cable, and the integrated server 5 sends corresponding instructions to the arming and disarming module 8 via the local area network.

[0039] Specifically, a local area network is formed between each device in the embodiment of the present application through a switch, and all sensors and equipment transmit information to the integrated service server through the network cable, and the server sends instructions to each execution module through the local area network. Transmitting data through the local area network and the network cable can achieve high-speed data transmission. That is, the human body recognition device 2 can transmit human body detection data to the integrated server 5 in real time, and the integrated server 5 can also quickly send instructions to the arming and disarming module 8, thereby ensuring the real-time and accuracy of the system. Secondly, the data transmission within the local area network is closed and not easily attacked by external networks. At the same time, data transmission through the switch can achieve data isolation and filtering, further improving the security of the system.

[0040] In a feasible implementation manner, the memory is used to store the location data of the human body recognition device 2 and also to store the defense plan data corresponding to the business premises.

[0041] Specifically, the data stored in the memory include the location data of the human body recognition device 2, the defense plan data corresponding to the business premises, etc. The memory stores the specific location information of all human body recognition devices 2 (such as cameras, sensors, etc.) in the system. This information is usually expressed in the form of coordinates, area divisions or equipment numbers, etc., and is used to quickly locate and call related equipment when the system is running. The memory also stores the defense plan data of different business premises. These plans include the defense time period, defense area, defense level (such as low, medium, high) and corresponding alarm and response measures. The defense plan data is usually customized according to factors such as the characteristics of the business premises, security requirements and personnel flow, to ensure the flexibility and pertinence of the system.

[0042] In a feasible implementation manner, the display is used to display the human body detection data; and the display is also used to display the defense time.

[0043] Specifically, the display is used to show human data, defense status, and other relevant information detected by the system. The display can display human data detected by the system in real time, such as the location, number, and movement trajectory of the human body. These data are usually presented in the form of images, charts, or text, allowing users to clearly see the activities of people in the monitored area. The display can also show the defense duration of the current business premises. The defense duration refers to the length of time the system is in the defense state, usually displayed in hours, minutes, or seconds. By displaying the defense duration, users can understand how long the system has been running and determine whether to adjust the defense strategy or perform other operations accordingly.

[0044] In one possible implementation, Figure 1As shown, the facial recognition camera device 4 includes a facial capture device, a facial image storage database, and a facial comparison module. The facial capture device is used to transmit the captured facial images to the facial image storage database. The facial image storage database is used to locally store facial images. The facial comparison module includes a facial image verification module and an image parameter setting module. The facial image verification module is used to compare and verify the locally stored facial images, and the image parameter setting module is used to annotate the images based on the comparison and verification results.

[0045] Specifically, the facial capture device uses a high-definition camera to capture facial images of people entering the business premises. These images are transmitted to a facial image storage database for subsequent comparison and verification. The facial image storage database is a local database for storing facial images. It is used to receive facial images from the facial capture device and store them locally. Therefore, even in the event of network instability or interruption, embodiments of the present application can still rely on the local database for facial comparison.

[0046] Furthermore, the facial comparison module includes a facial image verification module and an image parameter setting module. The facial image verification module is used to compare the captured facial image with known facial images stored in the facial image storage database. If an unauthorized person is identified, the system will immediately trigger an alarm. The image parameter setting module is used to annotate the comparison and verification results. For example, key information such as facial image similarity and recognition time can be annotated based on the comparison results.

[0047] In one feasible embodiment, the facial image verification module includes an employee image verification data unit and a customer image verification data unit. The employee image verification data unit is configured to compare a locally stored facial image with an employee image and transmit the employee comparison result data to the image parameter setting module. The customer image verification data unit is configured to compare a locally stored facial image with a customer image and transmit the comparison result data to the image parameter setting module.

[0048] Specifically, the facial image verification module includes an employee image verification data unit and a customer image verification data unit. The employee image verification data unit is specifically responsible for comparing locally stored facial images with images in the employee image database. Upon completion, the employee image verification data unit transmits comparison results, such as the degree of match and recognition time, to the image parameter setting module. If the comparison is consistent, the business premises in a secured state will be automatically disarmed, preventing false alarms caused by employees mistakenly entering the business premises while secured.

[0049] Furthermore, the customer image verification data unit is used to compare locally stored facial images with images in the customer image database. These customer images may have been entered by the customer during a previous visit or obtained through other means (such as membership registration). Once the comparison is complete, the customer image verification data unit sends the comparison result data, such as the matching degree and recognition time, to the image parameter setting module. If an unauthorized customer or potential security risk is identified, the system can immediately trigger an alarm.

[0050] In one feasible embodiment, the alarm system further includes an alarm indicator assembly and an alarm buzzer assembly, wherein the alarm indicator assembly includes a first alarm indicator and a second alarm indicator, and the alarm buzzer assembly includes a first alarm buzzer and a second alarm buzzer. The first alarm indicator and the first alarm buzzer are connected in series to generate an alarm when a customer's facial image is detected, and the second alarm indicator and the second alarm buzzer are connected in series to generate an alarm when a stranger's facial image is detected.

[0051] Specifically, the system includes an alarm indicator light assembly and an alarm buzzer assembly to provide dual visual and audible warnings. The alarm indicator light assembly indicates different alarm states through different colored lights or flashing patterns. The assembly includes a first alarm indicator light and a second alarm indicator light. The first alarm indicator light is used to alarm for detected customer facial images, while the second alarm indicator light is used to alarm for detected stranger facial images. When the system detects a stranger facial image that does not match a known customer facial image, the second alarm indicator light will light up to indicate a stranger has intruded. When the system detects an image that matches a known customer facial image but there are other security risks, such as multiple attempts at illegal entry, the first alarm indicator light will light up.

[0052] Furthermore, the alarm buzzer assembly provides an audible alarm signal by emitting sounds of varying frequencies or volumes. This assembly includes a first alarm buzzer and a second alarm buzzer. These are connected in series with the first and second alarm indicators, respectively, to ensure that a corresponding audible alarm is emitted simultaneously with the visual alarm. When the first or second alarm indicator illuminates, the corresponding alarm buzzer also emits a sound. For example, when the second alarm indicator illuminates, indicating an intruder, the second alarm buzzer will emit a specific audible signal; when the first alarm indicator illuminates, the first alarm buzzer will emit a different audible signal.

[0053] Furthermore, the arming and disarming module 8 of the embodiment of the present application is implemented based on a human monitoring sensor 3 and an integrated server 5. The human monitoring sensor 3 is used to determine whether the business premises is currently occupied, thereby forming two scene scenarios: occupied and unoccupied. The integrated server 5 combines the time and the scene information of the current location to control the arming status of the entire system. The detailed process is as follows: 1. Intelligent arming: Preset the daily automatic arming time period, polling time, and arming wait time. For example, if the arming time is set from 9:00 PM to 7:00 AM the following day, the polling time is 20 minutes, and the arming wait time is 10 minutes. From 9:00 PM to 7:00 AM every day, the system monitors every 20 minutes to see if the business premises is currently armed. If it is not, human monitoring is activated. The human monitoring sensor 3 monitors whether the business premises is currently occupied. Monitoring continues during the arming wait time, notifying the server of the current scene every 3 seconds. If the scene remains unoccupied during the arming wait time, automatic arming is initiated. If the scene switches to occupied during the arming wait time, the wait ends and the next polling round immediately begins.

[0054] In one feasible embodiment, the alarm system further includes a sound recognition device and a smoke recognition device. The sound recognition device is installed within the business premises and connected to the integrated server 5. The sound recognition device is used to obtain sound information from the business premises, analyze the sound information, and transmit the analysis results to the integrated server 5. The smoke recognition device is installed within the business premises and connected to the integrated server 5. The smoke recognition device is used to obtain smoke information from the business premises, analyze the smoke information, and transmit the analysis results to the integrated server 5.

[0055] Specifically, the sound recognition device is set up in the business premises to ensure that the sound information in the premises can be fully captured. The sound recognition device is closely connected to the integrated server 5, and through a stable communication link, the captured sound information and analysis results can be transmitted to the integrated server 5 in real time. The sound recognition device is used to obtain sound information in the business premises, and can also identify abnormal sounds (such as glass breaking, gunshots, screams, etc.), and perform detailed analysis and processing on these sounds, and finally send the analysis results to the integrated server 5 in the form of data or alarm signals. The smoke recognition device is also installed in key locations in the business premises to detect and respond to smoke conditions in a timely manner. The smoke recognition device can obtain smoke particles in the air, and through a comprehensive analysis of parameters such as smoke concentration and diffusion rate, accurately determine whether there is a fire hazard. Once smoke is detected, the device will immediately send the analysis results to the integrated server 5, triggering the corresponding alarm and emergency response mechanism.

[0056] In a feasible implementation manner, the alarm system further includes a prompting device, which is connected to the integrated server 5 ; the prompting device is used to issue sound warning information and smoke warning information.

[0057] Specifically, the prompt device is connected to the integrated server 5 to ensure that it can receive alarm information from the integrated server 5 in real time. When the integrated server 5 receives an alarm message from the sound recognition device or the smoke recognition device, it will immediately send the relevant information to the prompt device. The prompt device will issue a corresponding warning sound through the built-in audio playback system based on the type of alarm message received (sound warning or smoke warning).

[0058] The embodiment of the present application uses a timed intelligent arming and disarming method to start the security alarm system. First, it improves the security of the system and avoids false alarms caused by negligence of employees, such as forgetting to arm, unsuccessful arming, and failure to disarm before business opening. Second, it provides a convenient arming and disarming method to improve the user experience.

Claims

1. An intelligent alarm system for business premises, characterized in that: The alarm system includes: a human body recognition device, an integrated server and a defense and disarming module; The human body recognition device includes a plurality of human body monitoring sensors arranged at the business premises, and also includes a face recognition camera device arranged at the business premises; The integrated server includes a central controller and a timing module; The central controller is used to receive the human detection data sent by the human recognition device and send corresponding instructions to the arming and disarming modules; The timing module is used to receive the arming information sent by the arming and disarming module, and start timing after receiving the arming information. The timing module is also used to send timing end information to the central controller; The arming and disarming module starts the business premises arming state or the business premises disarming state according to the received instruction.

2. The intelligent alarm system for business premises according to claim 1, characterized in that: The human body recognition device, the integrated server and the arming and disarming modules form a local area network via a switch; The human body recognition device transmits the human body detection data to the integrated server via a network cable; The integrated server sends the corresponding instruction to the arming and disarming module via the local area network.

3. The intelligent alarm system for business premises according to claim 1, characterized in that: The face recognition camera device includes a face shooting device, a face image storage database and a face comparison module; The face shooting device is used to transmit the shot face image to the face image storage database; The facial image storage database is used to locally store the facial images; The face comparison module includes a face image verification module and an image parameter setting module; The face image verification module is used to compare and verify the locally stored face images, and the image parameter setting module is used to perform image annotation on the comparison and verification results.

4. The intelligent alarm system for business premises according to claim 3, characterized in that: The face image verification module includes an employee image verification data unit and a customer image verification data unit; The employee image verification data unit is used to compare the locally stored facial image with the employee image, and is also used to send employee comparison result data to the image parameter setting module; The customer image verification data unit is used to compare the locally stored facial image with the customer image, and is also used to send the comparison result data to the image parameter setting module.

5. The intelligent alarm system for business premises according to claim 1, characterized in that: The alarm system also includes an alarm indicator light component and an alarm buzzer component; The alarm indicator light assembly includes a first alarm indicator light and a second alarm indicator light; The alarm buzzer assembly includes a first alarm buzzer and a second alarm buzzer.

6. The intelligent alarm system for business premises according to claim 5, characterized in that: The first alarm indicator light is connected in series with the first alarm buzzer, and is used to alarm when a customer's facial image is detected; The second alarm indicator light is connected in series with the second alarm buzzer and is used to issue an alarm for a detected stranger face image.

7. The intelligent alarm system for business premises according to claim 1, characterized in that: The integrated server also includes a memory; The memory is used to store the position data of the human body recognition device and is also used to store the defense plan data corresponding to the business premises.

8. The intelligent alarm system for business premises according to claim 1, characterized in that: The integrated server further comprises a display; The display is used to display the human body detection data; Furthermore, the display is also used to display the arming time.

9. The intelligent alarm system for business premises according to claim 1, characterized in that: The alarm system also includes a sound recognition device and a smoke recognition device; The voice recognition device is disposed in the business premises and is connected to the integrated server; the voice recognition device is used to obtain voice information from the business premises, analyze the voice information, and send the analysis results to the integrated server; The smoke identification device is set in the business premises and connected to the integrated server. The smoke identification device is used to obtain smoke information of the business premises and analyze the smoke information to send the analysis results to the integrated server.

10. The intelligent alarm system for business premises according to claim 1, characterized in that: The alarm system also includes a prompt device; The prompt device is connected to the integrated server; the prompt device is used to issue sound warning information and smoke warning information.

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