False alarm prevention method for fire alarm system and related device

Abstract

The application discloses a false alarm prevention method of a fire alarm system and related devices, and the method comprises the following steps: acquiring smoke alarm information sent by a smoke sensor when the smoke sensor detects smoke, and determining a current fire risk degree according to the smoke alarm information, wherein the fire risk degree comprises a low fire risk; if the current fire risk degree is the low fire risk, acquiring first auxiliary sensor data sent by an auxiliary sensor; determining whether a false alarm event exists and an event type according to the first auxiliary sensor data, wherein the event type comprises a water vapor false alarm event, a mosquito false alarm event or a dust false alarm event; if the false alarm event exists, generating false alarm information according to the event type; by implementing the method in the application, the problem of excessively high false alarm rate of the fire alarm system can be solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fire alarm of Internet, and particularly relates to a false alarm prevention method of fire alarm system and a related device. BACKGROUND

[0002] The smoke sensor is specifically an optical smoke detection device including a labyrinth structure. When smoke enters the labyrinth, infrared light is scattered under the action of particulate matter. The scattered light is captured by a receiving device and converted into an electrical signal. Based on the electrical signal, it is determined whether smoke is detected.

[0003] In the alarm system on the market that uses the above smoke sensor, after the smoke sensor is used for a long time, the device is aged, fails or a false alarm event occurs in the measured environment that causes the smoke sensor to falsely alarm. The smoke sensor may be falsely triggered, thereby causing the problem of high false alarm rate of the fire alarm system. SUMMARY

[0004] To solve the above problem, the present application provides a false alarm prevention method of fire alarm system and a related device. The present application is advantageous in solving the problem of high false alarm rate of the fire alarm system.

[0005] In a first aspect, the present application provides a false alarm prevention method of fire alarm system, applied to a control device of the fire alarm system. The fire alarm system further includes a smoke sensor and an auxiliary sensor. The method includes: acquiring smoke alarm information sent by the smoke sensor when the smoke sensor detects smoke, and determining a current fire risk degree according to the smoke alarm information. The fire risk degree includes a low fire risk. If the current fire risk degree is the low fire risk, first auxiliary sensor data sent by the auxiliary sensor is acquired. Whether there is a false alarm event and an event type are determined according to the first auxiliary sensor data. The event type includes a water vapor false alarm event, a mosquito false alarm event or a dust false alarm event. If there is a false alarm event, false alarm information is generated according to the event type.

[0006] As can be seen, in the present application, under the premise that the local fire risk is a low fire risk, the first auxiliary sensor data collected by the auxiliary sensor can determine the false alarm event that causes the smoke sensor to falsely alarm. Thus, it is determined that the current smoke alarm information is false alarm information generated by the smoke sensor under the influence of the false alarm event. Therefore, the false alarm rate of the fire alarm system is reduced, and the alarm credibility of the fire alarm system is improved.

[0007] With reference to the first aspect, in a possible implementation, the fire alarm system comprises a plurality of smoke sensors; the smoke alarm information sent by the smoke sensors when smoke is detected is acquired, and the current fire risk level is determined according to the smoke alarm information, including: acquiring second alarm information within a preset time after acquiring first alarm information; wherein the first alarm information is the first acquired smoke alarm information, and the second alarm information is the non-first acquired smoke alarm information; if the second alarm information is not acquired within the preset time, the current fire risk level is determined to be a low fire risk.

[0008] In the embodiment of the present application, by judging whether the second auxiliary data sent by the auxiliary sensor conforms to the fire data feature, the control device can determine the probability of fire occurrence in the measured environment by referring to the data of the auxiliary sensor when the measured environment has a medium fire risk, and further modify the current fire risk level to a high fire risk and give an alarm when the second auxiliary data conforms to the fire data feature, thereby ensuring the safety of the measured environment.

[0009] With reference to the first aspect, in a possible implementation, the fire risk level further comprises a medium fire risk, and if the current fire risk level is a medium fire risk, the method further comprises: acquiring second auxiliary data sent by the auxiliary sensor; judging whether the second auxiliary data conforms to the fire data feature; and if the second auxiliary data conforms to the fire data feature, modifying the current fire risk level to a high fire risk.

[0010] With reference to the first aspect, in a possible implementation, the auxiliary sensor comprises a humidity sensor, and the first auxiliary sensing data comprises humidity data; the judgment of whether there is a false alarm event and the type of the event according to the first auxiliary sensing data comprises: acquiring current humidity data sent by the humidity sensor and a plurality of historical humidity data collected by the humidity sensor before the smoke alarm information is acquired; calculating historical average humidity data according to the plurality of historical humidity data; and if the difference between the current humidity data and the historical average humidity data is greater than a preset difference value, it is determined that there is a false alarm event and the type of the event is a water vapor false alarm event.

[0011] As can be seen, in the embodiment of the present application, under the premise of a low fire risk, by acquiring humidity data, it can be judged whether there is a water vapor false alarm event in the measured environment, thereby solving the problem of false alarm of the smoke sensor caused by abnormal humidity of regional climate, and reducing the false alarm rate of the fire alarm system.

[0012] With reference to the first aspect, in a possible implementation, the auxiliary sensor comprises an image sensor, and the first auxiliary sensor data comprises video data; determining whether a false alarm event exists and an event type according to the first auxiliary sensor data comprises: acquiring the video data sent by the image sensor; performing motion target detection on each frame of image in the video data, and determining a plurality of frames of continuous images in which a motion target exists as a candidate region; calculating an image area and a light transmittance of the motion target in the candidate region; if the image area is less than a first preset area and the light transmittance is less than a first preset light transmittance, it is determined that a false alarm event exists and the event type is a mosquito false alarm event; if the image area is not less than a second preset area and the light transmittance is not less than a second preset light transmittance, a motion direction of the motion target is determined, the second preset area is greater than the first preset area, and the first preset light transmittance is less than the second preset light transmittance; if the motion direction of the motion target is downward motion, it is determined that a false alarm event exists and the event type is a dust false alarm event.

[0013] As can be seen, in the embodiments of the present application, the continuous existence of the motion target in the plurality of continuous images is detected, whether a mosquito false alarm event or a dust false alarm event exists in the measured environment is determined, and thus the problem of false alarm of the smoke sensor caused by mosquito events and dust events is ruled out, and the false alarm rate of the fire alarm system is reduced.

[0014] With reference to the first aspect, in a possible implementation, if it is unable to determine whether a false alarm event exists and an event type, the method further comprises: determining a target time period as a time period before a preset time from a sending time of first alarm information sent by a first target smoke sensor, the first target smoke sensor being a first smoke sensor that sends smoke alarm information; acquiring a plurality of light values recorded by the first target smoke sensor in the target time period; calculating a linear fitting goodness of the plurality of light values recorded by the first target smoke sensor in the target time period; determining a first safety coefficient according to the linear fitting goodness, the linear fitting goodness and the first safety coefficient being positively correlated; determining a total alarm number of other smoke sensors in the target time period; determining a second safety coefficient according to the total alarm number, the total alarm number and the second safety coefficient being positively correlated; and raising the fire risk degree to a medium fire risk or a high fire risk according to the first safety coefficient and the second safety coefficient.

[0015] As can be seen, in the embodiments of the present application, the fire risk degree is corrected based on the generation mechanism of the light value of the first target smoke sensor and the first safety coefficient and the generation mechanism of the second safety coefficient of the alarm number of the plurality of sensors. In combination with the alarm information of the plurality of smoke sensors, in a case where it is unable to determine whether a false alarm event exists in the measured environment, the fire risk degree in the current measured environment can be determined, and then a response measure is taken, so that the safety of the measured environment is ensured.

[0016] With the first aspect, in a possible implementation, if there is no false alarm event, the method further comprises: obtaining a plurality of light values recorded by the first target smoke sensor at a plurality of historical time nodes and alarm records of the first target smoke sensor, the first target smoke sensor being the first smoke sensor sending smoke alarm information; obtaining historical alarm light values corresponding to the alarm records in the plurality of light values; if none of the historical alarm light values is greater than the preset light value, determining the first target smoke sensor as a faulty sensor; and if all the historical alarm light values are greater than the preset light value, determining the first target smoke sensor as an aged sensor.

[0017] It can be seen that, under the premise that there is no false alarm event, the plurality of light values of the smoke sensor can be used to analyze the body abnormality of the smoke sensor, overcoming the technical defect that the conventional method cannot distinguish between sensor failure and sensor aging.

[0018] In the second aspect, the embodiments of the present application provide a false alarm prevention device of a fire alarm system, which is used for executing the false alarm prevention method of the fire alarm system. The device belongs to the fire alarm system, and the fire alarm system comprises a smoke sensor and an auxiliary sensor. The device comprises: an obtaining unit, configured to obtain smoke alarm information sent by the smoke sensor when detecting smoke, and determine a current fire risk degree according to the smoke alarm information, the fire risk degree comprising a low fire risk; if the current fire risk degree is the low fire risk, obtain first auxiliary sensor data sent by the auxiliary sensor; a judging unit, configured to determine whether there is a false alarm event and an event type according to the first auxiliary sensor data, the event type comprising a water vapor false alarm event, a dust false alarm event or a mosquito false alarm event; and a generating unit, configured to generate false alarm information according to the event type if there is the false alarm event.

[0019] In the third aspect, the embodiments of the present application provide an electronic device, comprising a processor, a memory, a communication interface, and one or more programs, the one or more programs being stored in the memory and configured to be executed by the processor, and one or more instructions are adapted to be loaded and executed by the processor to execute part or all of the method of the first aspect and / or the second aspect.

[0020] In the fourth aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute part or all of the method of the first aspect and / or the second aspect.

[0021] In the fifth aspect, the present application provides a computer program product, which causes a computer to execute part or all of the method of the first aspect and / or the second aspect when the computer reads and executes the computer program product.

[0022] It can be understood that the beneficial effects of the embodiments of the second aspect to the fifth aspect can refer to the beneficial effects in the method of the first aspect, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0024] Figure 1 An application scenario diagram of a false alarm prevention method of a fire alarm system provided by an embodiment of the present application;

[0025] Figure 2 A flowchart of a false alarm prevention method of a fire alarm system provided by an embodiment of the present application;

[0026] Figure 3 A structural diagram of a fire alarm system provided by an embodiment of the present application;

[0027] Figure 4 A flowchart of another false alarm prevention method of a fire alarm system provided by an embodiment of the present application;

[0028] Figure 5 A detection range diagram of a plurality of smoke sensors provided by an embodiment of the present application;

[0029] Figure 6 A false alarm prevention method of a fire alarm system provided by another embodiment of the present application;

[0030] Figure 7 A structural diagram of a false alarm prevention device of a fire alarm system provided by an embodiment of the present application;

[0031] Figure 8 A structural diagram of an electronic device provided by an embodiment of the present application.

[0032] BRIEF DESCRIPTION OF DRAWINGS: Application scenario: 100; Control device: 101; Smoke sensor: 102; Auxiliary sensor: 103; User terminal: 104; Server: 105; Temperature sensor: 301; Humidity sensor: 302; Image sensor: 303; Gas sensor: 304; Buzzer: 305; False alarm prevention device of a fire alarm system: 700; Acquisition unit: 701; Judgment unit: 702; Generation unit: 703; Electronic device: 800; Memory: 801; Processor: 802; Communication interface: 803; Bus: 804. DETAILED DESCRIPTION

[0033] In order to make the personnel in the technical field better understand the scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by the person skilled in the art without creative labor fall within the scope of protection of the present application.

[0034] The terms “first”, “second”, and the like in the specification and claims of the present application and the above-described drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms “include” and “have” and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device.

[0035] Reference herein to “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative embodiments to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0036] The embodiments of the present application are described below in combination with the drawings.

[0037] Embodiment one: please refer to Figure 1 , Figure 1 An application scenario diagram of a false alarm prevention method of a fire alarm system provided by the embodiments of the present application is shown in the application scenario 100, which includes a fire alarm system (not marked in the figure), a user terminal 104 and a server 105.

[0038] The fire alarm system specifically includes a control device 101, a smoke sensor 102 and an auxiliary sensor 103, wherein the control device 101 is used to be connected with the smoke sensor 102 and the auxiliary sensor 103 through a wired local area network, a wireless local area network, Bluetooth, the Internet of Things and the like, and to acquire data or information sent by the smoke sensor 102 and the auxiliary sensor 103 to analyze whether there is a fire risk in the measured environment, and to perform an alarm through the server 105 or the user terminal 104 on the premise that there is a fire risk.

[0039] The smoke sensor 102 is specifically an optical smoke detection device including a labyrinth structure. When smoke enters the labyrinth, infrared light is scattered by particulate matter, and the scattered light is captured by a receiving device and converted into an electrical signal. The higher the smoke concentration, the more obvious the scattering, and the stronger the electrical signal.

[0040] The auxiliary sensor 103 specifically includes a temperature sensor, a gas detector, a humidity sensor, and an image sensor, etc.

[0041] In the embodiment of the present application, the control device 101 acquires smoke alarm information sent by the smoke sensor 102 when detecting smoke, and determines the current fire risk level according to the smoke alarm information, which includes a low fire risk.

[0042] Specifically, in the case that the smoke sensor 102 detects smoke, the smoke sensor 102 will send smoke alarm information to the control device 101 to indicate that the control device 101 that there is smoke in the measured environment. The control device 101 receives the smoke alarm information, and at the same time, will consider the operating parameters of the smoke sensor 102, the sending interval of multiple smoke alarm information, etc. to determine the current fire risk level (for example, the smaller the sending interval of multiple smoke alarm information, the higher the fire risk level).

[0043] If the current fire risk level is a low fire risk, the control device 101 acquires first auxiliary sensing data sent by the auxiliary sensor 103.

[0044] Specifically, the auxiliary sensor 103 here is used to collect first auxiliary sensing data in the measured environment, which is specifically temperature data, humidity data, image data, gas data, etc. in the measured environment.

[0045] The control device 101 determines whether there is a false alarm event and an event type according to the first auxiliary sensing data, which includes a water vapor false alarm event, a mosquito false alarm event, or a dust false alarm event, etc.

[0046] Specifically, the control device 101 will determine whether there is a false alarm event (such as a water vapor false alarm event, a mosquito false alarm event, or a dust false alarm event, etc.) that will cause the smoke sensor 102 to produce a false alarm based on the first auxiliary sensing data.

[0047] If there is a false alarm event, the control device 101 generates false alarm information according to the event type. The false alarm information here specifically includes the location of the alarm, the time of the alarm, the identification of the smoke sensor 102 of the alarm, the cause of the false alarm (i.e. the event type), etc. The control device 101 sends the false alarm information to the user terminal 104 or the server 105 to remind the user that there is a false alarm event in real time.

[0048] In addition, the control device 101 can also generate a local alarm according to the false alarm information, such as displaying the false alarm information on the display screen of the control device 101.

[0049] It can be seen that, in the embodiment of the present application, under the premise that the local fire risk is a low fire risk, the first auxiliary sensing data collected by the auxiliary sensor can determine the false alarm event that causes the smoke sensor to generate a false alarm, so as to determine that the current smoke alarm information is false alarm information generated by the smoke sensor under the influence of the false alarm event, thereby reducing the false alarm rate of the fire alarm system and improving the alarm credibility of the fire alarm system.

[0050] The following will be described in specific steps, please see Figure 2 , Figure 2 The flowchart of the false alarm prevention method of the fire alarm system provided in the embodiment of the present application can be implemented based on the application scenario 100 as shown in Figure 1 , which includes steps S201-S204 as shown in Figure 2 .

[0051] S201: The control device acquires the smoke alarm information sent by the smoke sensor when detecting smoke, and determines the current fire risk degree according to the smoke alarm information, wherein the fire risk degree includes a low fire risk.

[0052] Specifically, it should be noted that the control device belongs to a fire alarm system, and the fire alarm system is used to detect the fire risk degree (specifically including a low fire risk, a medium fire risk and a high fire risk) in the measured environment. The control device will determine the current fire risk degree according to one or more of the sending interval time of the smoke alarm information, the sending duration of the smoke alarm information and the data characteristics of the smoke alarm information.

[0053] For example, if the duration of the smoke alarm information is 15s-30s, the fire risk degree is a high fire risk; if the duration of the smoke alarm information is 5s-15s, the fire risk degree is a medium fire risk; and if the duration of the smoke alarm information is less than 5s, the fire risk degree is a low fire risk.

[0054] Among them, the high fire risk represents that there is a serious and urgent fire risk in the measured environment, and a fire is usually occurring; the medium fire risk represents that there is a certain fire risk in the measured environment, and it is necessary to further determine whether a fire occurs in the measured environment; and the low fire risk represents that there is a low fire risk in the measured environment, and the smoke alarm information may be due to a false alarm.

[0055] The fire alarm system further comprises a smoke sensor for detecting whether smoke exists in the environment to be measured and an auxiliary sensor (including a temperature and humidity sensor, an image sensor, etc.) for analyzing whether an auxiliary sensor exists in the environment to be measured to induce false alarm of the smoke sensor.

[0056] In S202, if the current fire risk level is low fire risk, the control device acquires first auxiliary sensing data sent by the auxiliary sensor.

[0057] Specifically, if the current fire risk level is low fire risk, which indicates that the fire risk in the environment to be measured is low, the smoke alarm information sent by the smoke sensor is more likely to be false alarm caused by various events, and thus the control device acquires first auxiliary sensing data sent by the auxiliary sensor to analyze the related false alarm events.

[0058] In S203, the control device determines whether a false alarm event exists and an event type according to the first auxiliary sensing data, and the event type includes a water vapor false alarm event, a mosquito false alarm event, or a dust false alarm event.

[0059] Specifically, the control device determines whether a false alarm event exists and an event type according to the first auxiliary sensing data, and the first auxiliary sensing data specifically includes temperature and humidity data, gas data (indicating whether a target gas such as carbon monoxide exists in the environment to be measured), etc.

[0060] In addition, it should be noted that the first auxiliary sensing data is determined based on the auxiliary sensing devices configured in the current fire alarm system and the running state of the auxiliary sensing devices. For example, if a temperature sensor and a humidity sensor are configured in the current fire alarm system, the corresponding first auxiliary sensing data includes temperature data and humidity data; if the temperature sensor is damaged and cannot run, the corresponding first auxiliary sensing data only includes humidity data.

[0061] For example, referring to Figure 3 , Figure 3 A structural schematic diagram of a fire alarm system provided by the embodiment of the present application is shown in FIG. 1, which comprises a control device 101, a smoke sensor 102, auxiliary sensors (not shown in the figure) and a buzzer 305. The auxiliary sensors specifically include a temperature sensor 301, a humidity sensor 302, an image sensor 303 and a gas sensor 304.

[0062] The temperature sensor 301 is used to acquire temperature data of the environment to be measured; the humidity sensor 302 is used to acquire humidity data of the environment to be measured; the image sensor 303 is used to acquire image data of the environment to be measured; and the gas sensor 304 is used to acquire gas data (used to indicate whether a target gas exists) of the environment to be measured. In this example, the first auxiliary sensing data specifically includes temperature data, humidity data, image data and gas data.

[0063] In addition, the buzzer 305 is used to receive the instruction of the control device 101 to alarm when the fire risk degree is high fire risk.

[0064] Optionally, the auxiliary sensor includes a humidity sensor, and the first auxiliary sensing data includes humidity data; determining whether a false alarm event exists and an event type according to the first auxiliary sensing data includes: obtaining current humidity data sent by the humidity sensor and a plurality of historical humidity data collected by the humidity sensor before obtaining the smoke alarm information; calculating historical average humidity data according to the plurality of historical humidity data; and if a difference between the current humidity data and the historical average humidity data is greater than a preset difference value, it is determined that a false alarm event exists and the event type is a water vapor false alarm event.

[0065] Specifically, in the embodiment, the auxiliary sensor includes a humidity sensor, and the humidity sensor is used to detect air humidity in the measured environment. The first auxiliary sensing data also includes humidity data detected by the humidity sensor. The water vapor false alarm event analysis in the embodiment will be performed by the following method.

[0066] The control device receives humidity data sent by the humidity sensor, and the humidity data includes current humidity data and a plurality of historical humidity data. Here, the humidity data is specifically humidity data sent by the humidity sensor in real time when the control device determines that the current fire risk degree is low fire risk; or the humidity sensor sends the humidity data to the control device according to a preset frequency, and the control device saves the humidity data locally and then calls the humidity data in real time when the fire risk degree is low fire risk.

[0067] The control device calculates historical average humidity data according to the plurality of historical humidity data.

[0068] Exemplarily, the control device stores humidity values collected at a fixed sampling interval in the last 24 hours into a ring buffer to form a historical data set. When the fire risk degree is low fire risk, the control device extracts historical data of the latest N sampling periods to calculate the historical average humidity data, reads a current humidity sampling value, and determines the current humidity sampling value as the current humidity data.

[0069] The control device calculates a difference ΔH between the current humidity data and the historical average humidity data, and if the ΔH exceeds a preset difference value, it is determined that a false alarm event exists and the event type is a water vapor false alarm event.

[0070] Further, if the ΔH exceeds the preset difference value, a verification process is started: it is checked whether a humidity change rate exceeds a typical upper limit value of fire, and it is confirmed whether a high humidity duration conforms to a water vapor interference feature. When the mutation amplitude and the rate conditions are both met, it is determined that the event is a water vapor false alarm event.

[0071] It can be seen that in the embodiments of the present application, under the premise of low fire risk, whether there is a water vapor false alarm event in the measured environment can be determined by acquiring humidity data, thereby solving the problem of false alarm of the smoke sensor caused by abnormal humidity of the regional climate, and reducing the false alarm rate of the fire alarm system.

[0072] Optionally, in a possible embodiment, the auxiliary sensor includes an image sensor, and the first auxiliary sensing data includes video data; determining whether there is a false alarm event and an event type according to the first auxiliary sensing data includes: acquiring the video data sent by the image sensor; performing motion target detection on each frame of image in the video data, and determining a plurality of continuous frames of image in which a motion target exists as a candidate region; calculating an image area and a light transmittance of the motion target in the candidate region; if the image area is less than a first preset area and the light transmittance is less than a first preset light transmittance, it is determined that there is a false alarm event and the event type is a mosquito false alarm event; if the image area is not less than a second preset area and the light transmittance is not less than a second preset light transmittance, a motion direction of the motion target is determined, the second preset area is greater than the first preset area, and the first preset light transmittance is less than the second preset light transmittance; if the motion direction of the motion target is downward motion, it is determined that there is a false alarm event and the event type is a dust false alarm event.

[0073] Specifically, in the present embodiment, the auxiliary sensor includes an image sensor, and the video data generated by the image sensor is included in the first auxiliary sensing data. It should be noted that the video data here is obtained by the image sensor shooting the measured environment. The present method will realize false alarm recognition through the following process.

[0074] The control device acquires the video data obtained by the image sensor shooting the measured environment. Motion target detection is performed frame by frame (for example, using a background difference algorithm to separate foreground moving objects), and when motion targets are detected in the same region for more than 5 continuous frames, the image region is marked as a candidate region.

[0075] The control device calculates the minimum circumscribed rectangle area of the motion target in the candidate region as the image area. At the same time, the control device calculates the light transmittance based on the pixel gray value (for example, light transmittance = target region average gray value / background region average gray value x 100%).

[0076] If the image area is less than a first preset area (for example, 10 pixels x 10 pixels) and the light transmittance is less than a first preset light transmittance (for example, 30%), it is determined that there is a false alarm event in the measured environment and the event type is a mosquito false alarm event.

[0077] Dust false alarm judgment stage: when the image area is not less than a second preset area (for example, 30 pixels x 30 pixels) and the light transmittance is not less than a second preset light transmittance (for example, 60%), motion direction analysis is started.

[0078] The control device specifically extracts the center of mass coordinates of the moving target in the continuous multiple frames in the candidate region, calculates the moving path of the center of mass coordinates, and determines the moving direction of the moving target based on the moving path of the center of mass coordinates.

[0079] If the moving direction of the moving target is downward movement, it is determined that there is a false alarm event and the event type is a dust false alarm event.

[0080] It can be seen that, in the embodiments of the present application, the existence of mosquito false alarm events or dust false alarm events in the measured environment can be determined through the continuous existence detection of the moving target in multiple frames of images, thereby eliminating the problem of false alarms of the smoke sensor caused by mosquito events and dust events, and reducing the false alarm rate of the fire alarm system.

[0081] Optionally, the video data sent by the image sensor is acquired, including: determining a current season type, the season type including winter and non-winter; if the current season type is winter, after determining the current fire risk degree according to the smoke alarm information, a shooting instruction is sent to the image sensor; the video data obtained by the image sensor in response to the shooting instruction is acquired; if the current season type is non-winter, the video data newly obtained by the image sensor according to a preset frequency is acquired.

[0082] Specifically, in the embodiments of the present application, for winter, due to low temperature, dry climate and other reasons, mosquitoes, water vapor and dust are often less, and the smoke sensor is less likely to be triggered by mistake, therefore, the image sensor is only turned on in response to the shooting instruction sent by the control device under the premise that the control device needs to determine whether there is a false alarm event in the measured environment, and is turned on according to normal smoke identification conditions, which helps to save energy.

[0083] For spring, summer and autumn: often, strong wind, rain, mosquitoes and other events occur more frequently, and the smoke sensor is more likely to be triggered by mistake, therefore, the image sensor also shoots video data according to a preset frequency (for example, shoots 30s of video data every ten minutes and saves), and under the premise that the control device needs to determine whether there is a false alarm event in the measured environment, the video data newly obtained by the image sensor according to the preset frequency can be directly acquired.

[0084] It can be seen that, in the embodiments of the present application, different video data acquisition methods are adopted based on different seasons, in winter, corresponding video data is acquired through a shooting instruction, the image sensor does not need to shoot, and the energy consumption of the fire alarm system is saved, and in non-winter, the video data before the false alarm occurs can be acquired by the control device through preset frequency shooting, the shooting time of the video data is closer to the generation time of the first alarm information, and the accuracy of the judgment result of whether there is a mosquito false alarm event or a dust false alarm event in the measured environment according to the video data is improved.

[0085] S204: If there is a false alarm event, the control device generates false alarm information according to the event type.

[0086] Specifically, under the premise of low fire risk, if the control device of the fire alarm system can determine that there is a false alarm event in the current measured environment based on the first auxiliary sensor data sent by the auxiliary sensing device according to the preset judgment logic, and the event type of the false alarm event, the control device generates false alarm information according to the event type to indicate that there is a false alarm of the smoke alarm, which needs to be maintained or replaced, etc.

[0087] The false alarm information here is specifically stored locally in the form of a running log, or sent to a server or a user terminal. If the control device also includes a display screen, the false alarm information can also be displayed on the display screen to prompt the user.

[0088] Embodiment two: In embodiment one, a false alarm prevention method of a fire alarm system based on a smoke sensor and an auxiliary sensor is described. Based on this, under the premise that there are multiple smoke sensors, the present embodiment also provides another more detailed false alarm prevention method of a fire alarm system.

[0089] Please refer to Figure 4 , Figure 4 The flowchart of another false alarm prevention method of a fire alarm system provided by the present embodiment can be implemented based on the application scenario 100 shown in Figure 1 , as shown in Figure 4 , including steps S401-S405.

[0090] S401: The control device acquires second alarm information within a preset time after acquiring first alarm information; wherein the first alarm information is the first acquired smoke alarm information, and the second alarm information is the non-first acquired smoke alarm information.

[0091] Specifically, please refer to Figure 5 , Figure 5 A detection range diagram of multiple smoke sensors provided by the present embodiment can be seen from Figure 5 . It can be seen that multiple smoke sensors 102 are configured in the same area, and the detection areas of multiple smoke sensors 102 overlap. When a fire occurs in the measured area, at least one smoke sensor 102 will be triggered to alarm for fire. With the spread of smoke, all smoke sensors 102 may even be triggered within a short time.

[0092] S402: If the second alarm information is not acquired within the preset time, the control device determines that the current fire risk degree is low fire risk.

[0093] Specifically, the control device acquires the second alarm information within a preset time after acquiring the first alarm information. If a fire occurs in the measured environment, multiple second alarm information will be acquired within the preset time, i.e., all the smoke sensors are triggered.

[0094] If no second alarm information is acquired within the preset time, i.e., only one smoke sensor alarms in a short time, it can be determined that the current fire risk level is low fire risk.

[0095] S403: If the current fire risk level is low fire risk, the control device acquires the first auxiliary sensing data sent by the auxiliary sensor.

[0096] S404: The control device determines whether there is a false alarm event and an event type according to the first auxiliary sensing data. The event type includes a water vapor false alarm event, a mosquito false alarm event, or a dust false alarm event.

[0097] S405: If there is a false alarm event, the control device generates false alarm information according to the event type.

[0098] The detailed description of steps S403-S405 can refer to the description of steps S202-S204 and related content, which will not be repeated here.

[0099] Alternatively, if it cannot be determined whether there is a false alarm event and an event type, the method further includes: determining a target time period as a time period from a sending time of the first alarm information sent by a first target smoke sensor to a time period before the preset time, the first target smoke sensor being a first smoke sensor sending smoke alarm information; acquiring multiple light values recorded by the first target smoke sensor in the target time period; calculating a linear fitting goodness of the multiple light values recorded by the first target smoke sensor in the target time period; determining a first safety coefficient according to the linear fitting goodness, the linear fitting goodness and the first safety coefficient being positively correlated; determining a total alarm number of other smoke sensors in the target time period; determining a second safety coefficient according to the total alarm number, the total alarm number and the second safety coefficient being positively correlated; and raising the fire risk level to medium fire risk or high fire risk according to the first safety coefficient and the second safety coefficient.

[0100] Specifically, in the case that the control device cannot determine whether there is a false alarm event and an event type according to the first auxiliary sensing data, specifically, the case includes that the current auxiliary sensing data does not conform to any one of the preset false alarm event types in the control device. Or, under the premise that the first auxiliary sensing data includes video data generated by the image sensor, the dynamic target in the video data neither conforms to the characteristics of the mosquito false alarm event nor conforms to the characteristics of the dust false alarm event.

[0101] The control device defines a preset time (for example, 5 minutes) as a target time period (for example, 9:55-10:00) forward from the first alarm information sending time point.

[0102] The control device extracts the light value (for example, 300 data points in total) recorded by the first target smoke sensor in the time period, and calculates the linear fitting goodness of the light value by linear regression or the like. The linear fitting goodness here reflects the degree to which the light value change conforms to the linear growth characteristic. The higher the degree to which the light value conforms to the linear growth characteristic, the higher the linear fitting goodness.

[0103] This is because in the actual fire scenario, the smoke concentration gradually increases over time, and therefore the light value of the smoke sensor also presents a linear growth characteristic with the smoke concentration. Therefore, the higher the degree to which the light value change conforms to the linear growth characteristic, the higher the possibility that the measured environment actually has a fire.

[0104] Meanwhile, the control device synchronously counts the total number of alarm triggers of other smoke sensors in the target time period, and calculates a second safety coefficient according to the rule that each alarm increases by 0.1 (for example, 3 alarms correspond to a coefficient of 0.3).

[0105] According to the first safety coefficient and the second safety coefficient, the fire risk degree is raised to a medium fire risk or a high fire risk.

[0106] Exemplarily, the comprehensive value of the first safety coefficient and the second safety coefficient is obtained by weighted summation of the two safety coefficients, that is, 0.7*first safety coefficient+0.3*second safety coefficient. If the comprehensive value is greater than or equal to 0.8, it is raised to a high fire risk; if the comprehensive value is less than 0.8, it is raised to a medium fire risk.

[0107] After modifying the fire risk degree, the control device can alarm the fire risk or report fault information based on the current fire risk degree; specifically, for a medium fire risk, corresponding alarm information can be generated to notify the user that there is an unknown reason causing the first target smoke sensor to be triggered in the measured environment, and for a high fire risk, the buzzer or other alarm device is directly controlled to execute an alarm, and high fire risk alarm information is generated to notify the user that there is a high fire risk in the measured environment.

[0108] As can be seen, in the embodiments of the present application, the fire risk degree is modified based on the generation mechanism of the light value of the first target smoke sensor and the first safety coefficient, and the generation mechanism of the second safety coefficient of the number of multi-sensor alarms. In combination with the consideration of the alarm information of multiple smoke sensors, in the case where it cannot be determined that there is a false alarm event in the measured environment, the fire risk degree in the current measured environment can be determined, and then corresponding measures are taken, thereby ensuring the safety of the measured environment.

[0109] Optionally, if there is no false alarm event, the method further comprises: obtaining a plurality of light values recorded by the first target smoke sensor at a plurality of historical time nodes and alarm records of the first target smoke sensor, the first target smoke sensor being the first smoke sensor to send smoke alarm information; obtaining historical alarm light values corresponding to the alarm records in the plurality of light values; if none of the historical alarm light values is greater than a preset light value, determining the first target smoke sensor as a faulty sensor; and if all the historical alarm light values are greater than the preset light value, determining the first target smoke sensor as an aged sensor.

[0110] Specifically, under the premise that it is determined that there is no false alarm event in the measured environment (for example, under the premise that the first auxiliary sensor data includes video data generated by the image sensor, and no dynamic target can be obtained from the video data), the embodiments of the present application determine the cause of the failure of the first target smoke sensor through the running data (i.e., the light value) of the first target smoke sensor.

[0111] When the system confirms that the current alarm is not a false alarm event, the control device retrieves the historical alarm light values of the first target smoke sensor, and synchronously extracts the alarm trigger records of the corresponding time nodes; then, the light values associated with the alarm trigger time are screened out as the historical alarm light values. If none of the historical alarm light values is greater than a preset light value, the first target smoke sensor is determined as a faulty sensor; and if all the historical alarm light values are greater than the preset light value, the first target smoke sensor is determined as an aged sensor.

[0112] Exemplarily, the preset light value is fixedly set as 500 lx (the value is determined through calibration of a signal-to-noise ratio model of the smoke sensor). The diagnostic logic is executed in sequence: if all the historical alarm light values are ≤ 500 lx (for example, the alarm light values of the last three times are 480 lx, 490 lx, and 470 lx, respectively), it is determined that the first target smoke sensor has a circuit fault; and if all the historical alarm light values are > 500 lx (for example, the alarm light values of the last three times are 520 lx, 550 lx, and 530 lx, respectively), it is determined that the first target smoke sensor is an aged sensor.

[0113] This is because the installation position of the smoke sensor is fixed, and dust accumulation is easy to occur inside the smoke sensor after a long time of operation. After dust accumulation, the light scattering effect is increased, which eventually affects the increase of the light value. If the light value of the smoke sensor when the alarm is triggered is significantly larger than the light value when the smoke sensor is manufactured, and the value is large in a long-time and multiple detections, it can be determined that dust has accumulated inside the sensor.

[0114] Trigger response after diagnosis: send hardware reset instruction to faulty sensor and activate self-check program; for aging sensor, calculate remaining life index and push maintenance notice to management terminal through Internet of Things platform.

[0115] Further, different correction methods can be used to correct the alarm information of the faulty smoke sensor and the aging smoke sensor, or the faulty smoke sensor and the aging smoke sensor can be directly disabled.

[0116] If the first target smoke sensor is a faulty smoke sensor, before determining the current fire risk degree according to the smoke alarm information, the method further includes obtaining real-time light value data of all smoke sensors with a distance less than a preset distance from the first target smoke sensor, with the faulty sensor as the center.

[0117] The corrected light value of the first target smoke sensor is calculated according to the real-time light value data of all smoke sensors with a distance less than a preset distance from the first target smoke sensor, corrected light value = Σ (adjacent sensor light value x distance attenuation coefficient), wherein distance attenuation coefficient = 1 / (1+0.2xd), d is the sensor spacing. Determine that the corrected light value is greater than the alarm preset threshold. To further determine the validity of the smoke alarm information sent by the first target smoke sensor.

[0118] If the first target smoke sensor is an aging smoke sensor, before determining the current fire risk degree according to the smoke alarm information, the aging compensation coefficient is calculated according to the multiple light values of the first target smoke sensor, and the corrected light value of the first target smoke sensor is calculated according to the aging compensation coefficient, and the validity of the smoke alarm information sent by the first target smoke sensor is determined based on the corrected light value.

[0119] As can be seen, in the absence of false alarm events, the multiple light values of the smoke sensor can analyze the abnormality of the smoke sensor, overcoming the technical defects that the conventional method cannot distinguish between sensor failure and sensor aging.

[0120] Optionally, before obtaining the second alarm information within a preset time after obtaining the first alarm information, the method further includes: determining that the first target smoke sensor is not an aging sensor; if the first target smoke sensor is an aging sensor, the method further includes: closing the first target smoke sensor, determining the smoke sensor closest to the first target smoke sensor in the multiple smoke sensors as the second target smoke sensor; and reducing the alarm threshold of the second sensor within a future preset time.

[0121] Specifically, in the embodiment of the present application, if the first target smoke sensor is not marked as an aging sensor, its normal working state is maintained, and the monitoring process of the second alarm information is continued.

[0122] If the first target smoke sensor is determined to be an aging sensor, after receiving the first alarm information (within the preset time window of the second alarm information), the aging state of the first target smoke sensor is first checked. If it is confirmed to be an aging sensor through the aging determination mechanism of the preceding embodiment (the historical alarm light values are all greater than the preset light value).

[0123] The control device for aging sensors will send a three-level shutdown instruction to the first target smoke sensor, i.e., first cut off the power supply line, then disable the communication module, and finally mark it as a failure state. At the same time, the pre-stored sensor position topology graph is called up, the distances of all smoke sensors from the first target smoke sensor are calculated, and the sensor closest to the first target smoke sensor is selected as the second target smoke sensor. In the future, within a preset time (such as 2h), the alarm threshold of the second target smoke sensor is dynamically lowered from the standard value, so that its monitoring sensitivity is improved.

[0124] As can be seen, in the embodiment of the present application, through the rapid aging checking mechanism within the preset time window, the failed device is isolated before the second alarm confirmation, the distance-priority neighboring sensor selection strategy is adopted, and the alarm threshold dynamic lowering technology is combined, so that the safety of the measured area is ensured while avoiding the continuous false alarm caused by the aging sensor.

[0125] Embodiment three: The above application embodiments mainly describe the false alarm prevention method of the fire alarm system under the low fire risk degree of fire risk. Based on this, under the medium fire risk, the present application embodiment also provides another false alarm prevention method of the fire alarm system. Please refer to Figure 6 , Figure 6 Another false alarm prevention method of the fire alarm system provided by the present application embodiment can be implemented based on the application scenario 100 as shown in Figure 1 , which includes steps S601-S606 as shown in Figure 6 .

[0126] S601: The control device acquires the smoke alarm information sent by the smoke sensor when detecting smoke, and determines the current fire risk degree according to the smoke alarm information, which includes low fire risk.

[0127] S602: If the current fire risk degree is low fire risk, the control device acquires the first auxiliary sensor data sent by the auxiliary sensor.

[0128] S603: The control device determines whether there is a false alarm event and the event type according to the first auxiliary sensor data, which includes a water vapor false alarm event, a mosquito false alarm event, or a dust false alarm event.

[0129] S604: If there is a false positive event, the control device generates false positive information according to the event type.

[0130] The detailed description of steps S601-S604 can refer to the description of steps S201-S204 and related content, which will not be repeated here.

[0131] S605: If the current fire risk level is medium fire risk, the control device acquires the second auxiliary data sent by the auxiliary sensor.

[0132] Specifically, as described above, the medium fire risk indicates that there is a certain fire risk in the measured environment, and it is necessary to further determine whether a fire occurs in the measured environment. Therefore, the control device will acquire the second auxiliary data sent by the auxiliary sensor when the current fire risk level is medium fire risk. The second auxiliary data here is used to further determine whether a fire occurs in the measured environment.

[0133] S606: The control device determines whether the second auxiliary data meets the fire data characteristics. If the second auxiliary data meets the fire data characteristics, the current fire risk level is modified to high fire risk.

[0134] Specifically, the second auxiliary data here is similar to the first auxiliary data and is related to the type of the locally deployed auxiliary sensor. If the locally deployed auxiliary sensor includes a temperature sensor, the second auxiliary data includes temperature data acquired by the temperature sensor.

[0135] If the second auxiliary data includes temperature data, determining whether the second auxiliary data meets the fire data characteristics specifically includes: calculating the maximum temperature rise rate within 10 seconds according to the temperature data, and determining that the second auxiliary data meets the fire data characteristics according to the maximum temperature rise rate.

[0136] If the second auxiliary data includes gas data, determining whether the second auxiliary data meets the fire data characteristics specifically includes: counting the target gas (such as carbon monoxide) concentration increment per minute according to the gas data, and determining that the second auxiliary data meets the fire data characteristics according to the target gas concentration increment per minute.

[0137] If the second auxiliary data includes sound data, determining whether the second auxiliary data meets the fire data characteristics specifically includes: extracting the minimum length of a single pulse of the burst sound in the sound data, and determining that the second auxiliary data meets the fire data characteristics according to the minimum length of the single pulse of the burst sound.

[0138] Under the premise that one or more auxiliary data in the second auxiliary data meets the fire data characteristics, the control device modifies the current fire risk level to high fire risk. And alarm according to the label of high fire risk.

[0139] It can be seen that in the embodiments of the present application, the control device can determine the probability of fire occurrence in the measured environment by referring to the data of the auxiliary sensor when the measured environment has a fire risk, by judging whether the second auxiliary data sent by the auxiliary sensor conforms to the fire data feature, and then modify the current fire risk degree to high fire risk and give an alarm when the second auxiliary data conforms to the fire data feature, thereby ensuring the safety of the measured environment.

[0140] By implementing the method in the above embodiments, it can be seen that the first auxiliary sensing data collected by the auxiliary sensor can determine whether a false alarm event exists in the measured environment, specifically by obtaining humidity data to determine whether a water vapor false alarm event exists in the measured environment; by video data, it can be determined whether a mosquito false alarm event or a dust false alarm event exists in the measured environment, thereby reducing the false alarm of the fire alarm system due to false alarm events, reducing the false alarm rate and improving the alarm credibility of the fire alarm system. By judging the second auxiliary data sent by the auxiliary sensor, the probability of fire occurrence in the measured environment can be determined, thereby ensuring the safety of the measured environment. In the case where it is unable to determine whether a false alarm event exists and the type of event, the fire risk degree is modified according to the first safety coefficient and the second safety coefficient, thereby further ensuring the safety of the measured environment. In the case where no false alarm event exists, the multiple light values of the smoke sensor can be used to analyze the abnormality of the smoke sensor, thereby overcoming the technical defect that the conventional method cannot distinguish between sensor failure and sensor aging.

[0141] Based on the description of the above configuration method embodiments, the present application further provides a false alarm prevention device 700 of a fire alarm system, which can be a computer program (including program code) running in the control device 101 shown in FIG. 1 and used for executing the method shown in Figure 1 , Figure 2 , Figure 4 and Figure 6 . Please refer to Figure 7 , Figure 7 for a structural schematic diagram of a false alarm prevention device of a fire alarm system provided by the embodiments of the present application. The false alarm prevention device 700 of the fire alarm system comprises:

[0142] An acquisition unit 701 is configured to acquire smoke alarm information sent by a smoke sensor when the smoke sensor detects smoke, and determine the current fire risk degree according to the smoke alarm information, wherein the fire risk degree comprises low fire risk.

[0143] If the current fire risk degree is low fire risk, the acquisition unit 701 is further configured to acquire first auxiliary sensing data sent by an auxiliary sensor.

[0144] The determination unit 702 is configured to determine whether a false alarm event exists and an event type according to the first auxiliary sensing data, the event type including a water vapor false alarm event, a dust false alarm event, or a mosquito false alarm event.

[0145] The generation unit 703 is configured to generate false alarm information according to the event type if the false alarm event exists.

[0146] In a possible implementation, the fire alarm system includes a plurality of smoke sensors. In terms of acquiring smoke alarm information sent by the smoke sensors when the smoke sensors detect smoke and determining the current fire risk level according to the smoke alarm information, the acquisition unit 701 is further configured to: acquire second alarm information within a preset time after acquiring first alarm information, the first alarm information being the first acquired smoke alarm information, and the second alarm information being the non-first acquired smoke alarm information; and if the second alarm information is not acquired within the preset time, determine that the current fire risk level is a low fire risk.

[0147] In a possible implementation, the fire risk level further includes a medium fire risk. If the current fire risk level is the medium fire risk, the acquisition unit 701 is further configured to: acquire second auxiliary data sent by the auxiliary sensor; determine whether the second auxiliary data conforms to the fire data feature; and if the second auxiliary data conforms to the fire data feature, modify the current fire risk level to a high fire risk.

[0148] In a possible implementation, the auxiliary sensor includes a humidity sensor, and the first auxiliary sensing data includes humidity data. In terms of determining whether a false alarm event exists and an event type according to the first auxiliary sensing data, the determination unit 702 is further configured to: acquire current humidity data sent by the humidity sensor and a plurality of historical humidity data collected by the humidity sensor before the smoke alarm information is acquired; calculate historical average humidity data according to the plurality of historical humidity data; and if a difference between the current humidity data and the historical average humidity data is greater than a preset difference value, determine that the false alarm event exists and the event type is a water vapor false alarm event.

[0149] In a possible embodiment, the auxiliary sensor includes an image sensor, and the first auxiliary sensor data includes video data; in determining whether a false alarm event exists and an event type according to the first auxiliary sensor data, the determination unit 702 is further configured to: acquire the video data sent by the image sensor; perform motion target detection on each frame of image in the video data, and determine a plurality of frames of continuous images in which a motion target exists as a candidate region; calculate an image area and a light transmittance of the motion target in the candidate region; if the image area is less than a first preset area and the light transmittance is less than a first preset light transmittance, it is determined that a false alarm event exists and the event type is a mosquito false alarm event; if the image area is not less than a second preset area and the light transmittance is not less than a second preset light transmittance, a motion direction of the motion target is determined, the second preset area is greater than the first preset area, and the first preset light transmittance is less than the second preset light transmittance; if the motion direction of the motion target is downward motion, it is determined that a false alarm event exists and the event type is a dust false alarm event.

[0150] In a possible embodiment, if it is unable to determine whether a false alarm event exists and an event type, the determination unit 702 is further configured to: determine a target time period as a time period before a preset time at which the first target smoke sensor sends the first alarm information, the first target smoke sensor being a first smoke sensor that sends smoke alarm information; acquire a plurality of light values recorded by the first target smoke sensor in the target time period; calculate a linear fitting goodness of the plurality of light values recorded by the first target smoke sensor in the target time period; determine a first safety coefficient according to the linear fitting goodness, the linear fitting goodness and the first safety coefficient being positively correlated; determine a total alarm number of other smoke sensors in the target time period; determine a second safety coefficient according to the total alarm number, the total alarm number and the second safety coefficient being positively correlated; and increase the fire risk degree to a medium fire risk or a high fire risk according to the first safety coefficient and the second safety coefficient.

[0151] In a possible embodiment, if a false alarm event does not exist, the acquisition unit 701 is further configured to: acquire a plurality of light values recorded by the first target smoke sensor in a plurality of historical time nodes and alarm records of the first target smoke sensor, the first target smoke sensor being a first smoke sensor that sends smoke alarm information; acquire historical alarm light values corresponding to the alarm records in the plurality of light values; if none of the historical alarm light values is greater than a preset light value, the first target smoke sensor is determined as a faulty sensor; and if all the historical alarm light values are greater than the preset light value, the first target smoke sensor is determined as an aged sensor.

[0152] Based on the description of the method embodiments and the device embodiments above, refer to Figure 8 , Figure 8 a structural schematic diagram of an electronic device provided in the embodiments of the present application. Figure 8The electronic device 800 (which can be a computer device in particular) shown comprises a memory 801, a processor 802, a communication interface 803 and a bus 804. The memory 801, the processor 802 and the communication interface 803 are communicatively connected to each other through the bus 804. Figure 1 The control device 101 shown comprises a memory 801, a processor 802, a communication interface 803 and a bus 804. The memory 801, the processor 802 and the communication interface 803 are communicatively connected to each other through the bus 804.

[0153] The memory 801 can be a Read Only Memory (ROM), a static storage device, a dynamic storage device or a Random Access Memory (RAM).

[0154] The memory 801 can store a program, and when the program code stored in the memory 801 is executed by the processor 802, the processor 802 and the communication interface 803 are configured to perform each step of the false alarm prevention method of the fire alarm system according to the embodiments of the present application.

[0155] The processor 802 can be a general-purpose Central Processing Unit (CPU), a microcontroller, an Application Specific Integrated Circuit (ASIC), a graphics processing unit (GPU) or one or more integrated circuits, configured to execute related programs to implement the functions required by the units in the electronic device 800 according to the embodiments of the present application, or to execute the false alarm prevention method of the fire alarm system according to the method embodiments of the present application.

[0156] The processor 802 can also be an integrated circuit chip that has the processing capability of signals. In the implementation process, the various steps of the false alarm prevention method of the fire alarm system of the present application can be completed by the integrated logic circuit of hardware or the instructions in the form of software in the processor 802. The processor 802 described above can also be a general processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a ready programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. The various methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microcontroller or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module can be located in a random access memory, a flash memory, a read only memory, a programmable read only memory or an electrically erasable programmable memory, a register or other mature storage medium in the art. The storage medium is located in the memory 801, and the processor 802 reads the information in the memory 801, and combines the hardware to complete the functions required by the units included in the electronic device 800 in the embodiments of the present application, or executes the false alarm prevention method of the fire alarm system in the method embodiments of the present application.

[0157] The communication interface 803 uses a transceiver such as but not limited to a transceiver to realize the communication between the electronic device 800 and other devices or communication networks. For example, data can be obtained through the communication interface 803.

[0158] The bus 804 can include a path for transmitting information between various components (for example, the memory 801, the processor 802, the communication interface 803) of the electronic device 800.

[0159] It should be noted that although Figure 8 The electronic device 800 shown only shows the memory 801, the processor 802, the communication interface 803, but in the specific implementation process, those skilled in the art should understand that the electronic device 800 also includes other devices necessary for normal operation. At the same time, according to the specific needs, those skilled in the art should understand that the electronic device 800 can also include hardware devices for realizing other additional functions. In addition, those skilled in the art should understand that the electronic device 800 can also only include the devices necessary for the embodiments of the present application, and does not have to include all the devices shown in the Figure 8 The electronic device 800 shown only shows the memory 801, the processor 802, the communication interface 803, but in the specific implementation process, those skilled in the art should understand that the electronic device 800 also includes other devices necessary for normal operation. At the same time, according to the specific needs, those skilled in the art should understand that the electronic device 800 can also include hardware devices for realizing other additional functions. In addition, those skilled in the art should understand that the electronic device 800 can also only include the devices necessary for the embodiments of the present application, and does not have to include all the devices shown in the

[0160] The embodiment of the present application further provides a chip, which comprises a processor and a data interface, and the processor reads instructions stored on a memory through the data interface to implement the false alarm prevention method of the fire alarm system.

[0161] Optionally, as an implementation manner, the chip can further comprise a memory, and the memory stores instructions, and the processor is used for executing the instructions stored on the memory, and when the instructions are executed, the processor is used for executing the false alarm prevention method of the fire alarm system.

[0162] The embodiment of the present application further provides a computer readable storage medium, which stores instructions, and when the instructions are run on a computer or a processor, the computer or the processor executes one or more steps in any one of the methods.

[0163] The embodiment of the present application further provides a computer program product comprising instructions, and when the computer program product is run on a computer or a processor, the computer or the processor executes one or more steps in any one of the methods.

[0164] Those skilled in the art will appreciate that the functions described with reference to the various illustrative logical blocks, modules, and algorithm steps described herein can be implemented as hardware, software, firmware, or any combination thereof. If implemented in software, the functions described with reference to the various illustrative logical blocks, modules, and steps described herein can be stored on or transmitted over as one or more instructions or code on a computer-readable medium and executed by a hardware-based processing unit. Computer-readable media can include computer-readable storage media, which corresponds to a tangible medium such as data storage media, or communication media including any medium that facilitates transfer of the computer program from one place to another, e.g., according to a communication protocol. In this manner, computer-readable media generally can correspond to (1) tangible computer- readable storage media which is non-transitory or (2) a communication medium such as a signal or carrier wave. Data storage media can be any available media that can be accessed by one or more computers or one or more processors to retrieve instructions, code, and / or data structures for implementation of the techniques described in this disclosure. A computer program product can include a computer-readable medium.

[0165] By way of example, and not limitation, such computer-readable storage media can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage, or other magnetic storage devices, flash memory, or any other medium that can be used to store desired program code means in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. It should be understood, however, that computer-readable storage media and data storage media do not include connections, carrier waves, signals, or other transient media, but are instead directed to non-transient, tangible storage media. Disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), and Blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0166] Instructions can be executed by one or more processors, such as one or more digital signal processors (DSPs), general purpose microprocessors, application-specific integrated circuits (ASICs), field programmable logic arrays (FPGAs), or other equivalent integrated or discrete logic circuitry. Accordingly, the term "processor," as used herein can refer to any of the foregoing structure or any other structure suitable for implementation of the techniques described herein. In addition, in some aspects, the functionality described herein can be provided within dedicated hardware and / or software modules configured for encoding and decoding, or incorporated in a combined codec. Also, the techniques could be fully implemented in one or more circuits or logic elements.

[0167] The techniques of this disclosure can be implemented in a wide variety of devices or apparatuses, including a wireless handset, an integrated circuit (IC) or a set of ICs (e.g., a chip set). Various components, modules, or units described herein can be implemented as hardware, software, firmware or any combination thereof. Hardware implementations can include processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), programmable logic devices (PLDs), secure microprocessors, or any other hardware equivalents. Software implementations can include any software- or machine code- stored on tangible, non-transitory media, such as CD-ROMs, ROMs, RAMs, DVDs, Blu-ray discs, flash memory, or any other storage media, which when executed by a processor or computer causes the processor or computer to perform methods described herein. Firmware implementations can include any design mode or configurable firmware that can be read and utilized by a processor or computer, such as firmware resident in read only memory or programmable read only memory (EPROM).

[0168] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the specific description of the corresponding step processes in the foregoing method embodiments, which will not be repeated here.

[0169] It should be understood that, in the description of the present application, unless otherwise specified, " / " represents that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; wherein A, B can be singular or plural. And, in the description of the present application, unless otherwise specified, "multiple" means two or more than two. "At least one of the following" or the like means any combination of the items, including any combination of single item or multiple items. For example, at least one of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c can be single or multiple. In addition, in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, the same items or similar items with basically the same function and role are distinguished by using "first", "second" and the like. Those skilled in the art can understand that "first", "second" and the like do not limit the quantity and execution order, and "first", "second" and the like do not necessarily mean different. At the same time, in the embodiments of the present application, "exemplary" or "for example" means to present relevant concepts in a specific way for understanding.

[0170] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the division of the unit is only a logical function division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. The coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0171] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0172] In the above embodiments, all or part can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed by a computer, the computer instructions generate all or part of the processes or functions according to the embodiments of the present application. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transmitted by the computer readable storage medium. The computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.). The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media. The available medium can be read-only memory (ROM), or random access memory (RAM), or magnetic medium, such as floppy disk, hard disk, magnetic tape, optical medium, such as digital versatile disc (DVD), or semiconductor medium, such as solid state disk (SSD), etc.

[0173] The above is only a specific implementation of the embodiments of the present application, but the protection scope of the embodiments of the present application is not limited thereto. Any change or replacement within the technical scope disclosed in the embodiments of the present application should be covered in the protection scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application should be subject to the protection scope of the claims.

[0174] The above described device embodiments are only schematic, and the units and modules described as separate components can or can not be physically separated. In addition, part or all of the units and modules can be selected to achieve the purpose of the embodiments of the present application. Those skilled in the art can understand and implement without creative labor.

[0175] The above is only a specific implementation of the embodiments of the present application, and it should be noted that those skilled in the art can make several improvements and refinements without departing from the principles of the present application, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A false alarm prevention method for a fire alarm system, characterized in that The application relates to a control device applied to a fire alarm system, the fire alarm system further comprising a smoke sensor and an auxiliary sensor, the auxiliary sensor comprising a humidity sensor and an image sensor, and the method comprises the following steps: acquiring smoke alarm information sent by the smoke sensor when smoke is detected, and judging a current fire risk degree according to the smoke alarm information, wherein the fire risk degree comprises a low fire risk; if the current fire risk degree is a low fire risk, acquiring first auxiliary sensor data sent by the auxiliary sensor; judging whether a false alarm event exists and an event type according to the first auxiliary sensor data, wherein the event type comprises a water vapor false alarm event, a mosquito false alarm event or a dust false alarm event, the first auxiliary sensor data comprises humidity data and video data, and specifically, current humidity data sent by the humidity sensor and a plurality of historical humidity data collected by the humidity sensor before the smoke alarm information is acquired are acquired; historical average humidity data is calculated according to the plurality of historical humidity data; if a difference between the current humidity data and the historical average humidity data is greater than a preset difference value, it is judged that a false alarm event exists and the event type is a water vapor false alarm event; video data sent by the image sensor is acquired; motion target detection is performed on each frame of image in the video data, and a plurality of continuous frames of images with motion targets are determined as candidate regions; image area and light transmittance of the motion target in the candidate region are calculated; if the image area is less than a first preset area and the light transmittance is less than a first preset light transmittance, it is judged that a false alarm event exists and the event type is a mosquito false alarm event; if the image area is not less than a second preset area and the light transmittance is not less than a second preset light transmittance, a motion direction of the motion target is determined, the second preset area is greater than the first preset area, and the first preset light transmittance is less than the second preset light transmittance; if the motion direction of the motion target is downward motion, it is judged that a false alarm event exists and the event type is a dust false alarm event; if the false alarm event exists, false alarm information is generated according to the event type.

2. The method of claim 1, wherein, The fire alarm system comprises a plurality of smoke sensors; the acquiring of the smoke alarm information sent by the smoke sensor when smoke is detected and the judging of the current fire risk degree according to the smoke alarm information comprise the following steps: acquiring second alarm information within a preset time after first alarm information is acquired; wherein the first alarm information is the first acquired smoke alarm information, and the second alarm information is the non-first acquired smoke alarm information; if the second alarm information is not acquired within the preset time, it is judged that the current fire risk degree is a low fire risk.

3. The method of claim 1, wherein, The fire risk degree further comprises a medium fire risk, and if the current fire risk degree is a medium fire risk, the method further comprises the following steps: acquiring second auxiliary data sent by the auxiliary sensor; judging whether the second auxiliary data conforms to a fire data feature; if the second auxiliary data conforms to the fire data feature, the current fire risk degree is modified to a high fire risk.

4. The method according to any of claims 2 or 3, characterized in that, If it is not determined whether a false alarm event exists and an event type, the method further comprises: determining a target time period as a time period before a preset time from a sending time of first alarm information of a first target smoke sensor, the first target smoke sensor being a first smoke sensor sending smoke alarm information; obtaining a plurality of light values recorded by the first target smoke sensor in the target time period; calculating a linear fitting goodness of the plurality of light values recorded by the first target smoke sensor in the target time period; determining a first safety coefficient according to the linear fitting goodness, the linear fitting goodness and the first safety coefficient being positively correlated; determining a total alarm number of other smoke sensors in the target time period; determining a second safety coefficient according to the total alarm number, the total alarm number and the second safety coefficient being positively correlated; according to the first safety coefficient and the second safety coefficient, the fire risk degree is raised to a medium fire risk or a high fire risk.

5. The method according to any of claims 2 or 3, characterized in that, If the false alarm event does not exist, the method further comprises: obtaining a plurality of light values recorded by a first target smoke sensor in a plurality of historical time nodes and alarm records of the first target smoke sensor, the first target smoke sensor being a first smoke sensor sending smoke alarm information; obtaining historical alarm light values corresponding to the alarm records in the plurality of light values; if none of the historical alarm light values is greater than a preset light value, determining the first target smoke sensor as a faulty sensor; if all the historical alarm light values are greater than the preset light value, determining the first target smoke sensor as an aged sensor.

6. A false alarm prevention device for a fire alarm system, characterized in that The device is used to execute a false alarm prevention method of a fire alarm system, the device belongs to the fire alarm system, the fire alarm system comprises smoke sensors and auxiliary sensors, the auxiliary sensors comprise humidity sensors and image sensors, and the device comprises: an obtaining unit, configured to obtain smoke alarm information sent by the smoke sensors when detecting smoke, and determine a current fire risk degree according to the smoke alarm information, the fire risk degree comprising a low fire risk; if the current fire risk degree is a low fire risk, obtaining first auxiliary sensor data sent by the auxiliary sensors; The judgment unit is configured to judge whether a false alarm event exists and an event type according to the first auxiliary sensing data, the event type including a water vapor false alarm event, a dust false alarm event or a mosquito false alarm event, the first auxiliary sensing data including humidity data and video data, and specifically including: obtaining current humidity data sent by the humidity sensor and a plurality of historical humidity data collected by the humidity sensor before the smoke alarm information is obtained; calculating historical average humidity data according to the plurality of historical humidity data; if a difference between the current humidity data and the historical average humidity data is greater than a preset difference, it is judged that a false alarm event exists and the event type is a water vapor false alarm event; obtaining video data sent by the image sensor; performing motion target detection on each frame of image in the video data, and determining a plurality of continuous frames of image with motion targets as candidate regions; calculating image area and light transmittance of the motion target in the candidate region; if the image area is less than a first preset area and the light transmittance is less than a first preset light transmittance, it is judged that a false alarm event exists and the event type is a mosquito false alarm event; if the image area is not less than a second preset area and the light transmittance is not less than a second preset light transmittance, a motion direction of the motion target is determined, the second preset area is greater than the first preset area, and the first preset light transmittance is less than the second preset light transmittance; if the motion direction of the motion target is downward motion, it is judged that a false alarm event exists and the event type is a dust false alarm event. The generation unit is configured to generate false alarm information according to the event type if the false alarm event exists.

7. An electronic device, comprising: A computer program product including a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing steps in the method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method of any one of claims 1-5.

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