CN115188169A - Internet of things-based host pipe safety early warning system and application method - Google Patents

Internet of things-based host pipe safety early warning system and application method Download PDF

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Publication number
CN115188169A
CN115188169A CN202210810749.7A CN202210810749A CN115188169A CN 115188169 A CN115188169 A CN 115188169A CN 202210810749 A CN202210810749 A CN 202210810749A CN 115188169 A CN115188169 A CN 115188169A
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decibel value
data
decibel
server
abnormal signal
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兰二明
高俊丽
郭喜梅
史维新
张文举
武彩清
王保盛
余海
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Shanxi Huaxing Keruan Co ltd
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Shanxi Huaxing Keruan Co ltd
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Priority to CN202210810749.7A priority Critical patent/CN115188169A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/08Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources

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  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Alarm Systems (AREA)

Abstract

The application relates to a home management safety early warning system based on the Internet of things and an application method thereof, wherein the early warning system comprises a decibel detection terminal, a server and an alarm terminal; the decibel detection terminal is used for acquiring indoor sound data, converting the sound data into decibel value data, judging whether the decibel value data are abnormal or not, and sending an abnormal signal to the server if the decibel value data are abnormal, wherein the abnormal signal comprises abnormal information and stored position information; the server is used for receiving the abnormal signal and sending the abnormal signal to the alarm terminal; the warning terminal receives abnormal signal sends corresponding early warning signal, and the safety early warning system of this application need not artificially go to trigger, and it has decibel collection function and analysis function, can accomplish sound and reach the initiative trigger behind the decibel value threshold value to use through the cooperation of server and warning terminal, realize accurate warning, and then improve managers' management effect.

Description

Internet of things-based hosting safety early warning system and application method
Technical Field
The application relates to the technical field of dormitory protection systems, in particular to a dormitory management safety early warning system based on the Internet of things and an application method.
Background
The current market is that the common one-key alarm is used in the sentry on duty of each team and middle team of schools, hospitals and armed police, and when an emergency happens, the sentry reports an emergency condition of the alarm. The system consists of a sentry post alarm extension, a sentry post host and a broadcasting system (shown as a schematic diagram), wherein each sentry post extension and the host work in a wireless transmission mode.
The campus dormitory is particularly likely to have abnormal conditions such as a noisy event of students, if the abnormal conditions cannot be informed to dormitory management personnel in the first time, campus safety accidents can be caused, but the traditional one-key alarm device can only be triggered actively (a trigger button is arranged on an extension, and each button corresponds to a number), so that the traditional one-key alarm device has use limitation.
Disclosure of Invention
In order to improve the practicability and the adaptability of the existing safety early warning system, the application provides a host management safety early warning system based on the Internet of things and an application method.
In a first aspect, the application provides a host pipe safety early warning system based on the internet of things, which adopts the following technical scheme:
a host pipe safety early warning system based on the Internet of things comprises: the system comprises a decibel detection terminal, a server and an alarm terminal;
the decibel detection terminal is used for acquiring indoor sound data, converting the sound data into decibel value data, judging whether the decibel value data are abnormal or not, and sending an abnormal signal to the server if the decibel value data are abnormal, wherein the abnormal signal comprises abnormal information and stored position information;
the server is used for receiving the abnormal signal and sending the abnormal signal to the alarm terminal;
and the alarm terminal receives the abnormal signal and sends out a corresponding early warning signal.
Through adopting above-mentioned technical scheme, decibel detection terminal can acquire indoor sound data in real time, and convert this sound data into decibel value data, and through analysis decibel value data, judge whether indoor abnormal conditions has, if indoor abnormal conditions takes place, then can send abnormal signal to alarm terminal through the server, the very first time plays the effect of warning to managers, entire system need not artificial operation, can initiatively trigger and make corresponding judgement, the effectual adaptability and the practicality that improve safety precaution system.
Optionally, the decibel detection terminal includes a sensing unit and a communication unit processing unit;
the sensing unit is used for acquiring indoor sound data and sending the sound data to the processing unit;
the processing unit is used for converting the acquired sound data into decibel value data, judging whether the decibel value data exceeds a decibel value threshold value or not, and if the decibel value data exceeds the decibel value threshold value, sending an abnormal signal to the communication unit;
the communication unit is used for receiving the abnormal signal and sending the abnormal signal to the server.
By adopting the technical scheme, the sensing unit collects indoor sound data, the processing unit converts the collected sound data to obtain decibel value data, and the decibel value data is analyzed; and in the case where there is an abnormality in the decibel value data, transmitting an abnormality signal to the server through the communication unit.
Optionally, the system further comprises a camera terminal;
the server is used for sending a shooting request to the corresponding camera terminal based on the position information;
the camera terminal is used for receiving the shooting request, acquiring indoor image data, returning the image data to the server and enabling the server to send the image data to the alarm terminal;
and the alarm terminal receives and displays the image data.
By adopting the technical scheme, after the processing unit judges that the indoor abnormal condition occurs, the indoor image is captured through the shooting terminal so as to play a role in assisting judgment on management personnel, and the practicability of the safety early warning system is further improved.
In a second aspect, the application provides an application method of a home management safety early warning system based on the internet of things, which adopts the following technical scheme:
an application method of a home management safety early warning system based on the Internet of things comprises the following steps:
the decibel detection terminal acquires indoor sound data, converts the sound data into decibel value data, judges whether the decibel value data are abnormal or not, and sends an abnormal signal to the server if the decibel value data are abnormal, wherein the abnormal signal comprises abnormal information and stored position information;
the server receives the abnormal signal and sends the abnormal signal to the alarm terminal;
and the alarm terminal receives the abnormal signal and sends out a corresponding early warning signal.
Through adopting above-mentioned technical scheme, utilize decibel detection terminal to acquire indoor sound data in real time, and convert this sound data into decibel value data, and through analysis decibel value data, judge whether indoor abnormal conditions has, if indoor abnormal conditions takes place, then can utilize the server to send abnormal signal to alarm terminal, the very first time plays the effect of warning to managers, entire system need not artificial operation, can initiatively trigger and make corresponding judgement, the effectual adaptability and the practicality that improve safety precaution system.
Optionally, the sensing unit acquires indoor sound data and sends the sound data to the processing unit;
the processing unit converts the acquired sound data into decibel value data, judges whether the decibel value data exceeds a decibel value threshold value or not, and sends an abnormal signal to the communication unit if the decibel value data exceeds the decibel value threshold value;
the communication unit receives the abnormal signal and sends the abnormal signal to the server.
By adopting the technical scheme, the sensing unit collects indoor sound data, the processing unit converts the collected sound data to obtain decibel value data, and the decibel value data is analyzed; and in the case where there is an abnormality in the decibel value data, transmitting an abnormality signal to the server through the communication unit.
Optionally, the processing unit converts the obtained sound data into decibel value data, and determines whether the decibel value data exceeds a decibel value threshold, and if the decibel value data exceeds the decibel value threshold, sends an abnormal signal to the communication unit, including:
receiving sound data transmitted by the sensing unit;
dividing the sound data according to a time sequence to obtain a sub-sound data set;
selecting sub-sound data in the sub-sound set based on a preset sampling rule;
calculating each selected sub-sound data to obtain corresponding decibel value data;
and judging whether each decibel value data exceeds a decibel value threshold value or not, and if the current decibel value data exceeds the decibel value threshold value, sending an abnormal signal to the communication unit.
By adopting the technical scheme, for reducing the data processing amount of the processing unit, the sound data are firstly segmented, then the sub-sound data with the corresponding number are selected, and the sub-sound data are converted into decibel value data, namely the sub-sound data which are not selected cannot be converted, so that the purpose of improving the processing efficiency of the processing unit is achieved.
Optionally, after sending the decibel value data to the communication unit, the method includes:
if the current decibel value data does not exceed the decibel value threshold, continuing to judge whether the next decibel value data exceeds the decibel value threshold;
and deleting the current sub-sound data set after judging that all the decibel value data do not exceed the decibel value threshold value.
By adopting the technical scheme, invalid sound data is deleted, so that the memory occupation of the processing unit can be reduced, and the processing efficiency of the processing unit on the data is facilitated to a certain extent.
Optionally, if the current decibel value data exceeds the decibel value threshold, sending an abnormal signal to the communication unit includes:
if the current sub-decibel value data exceeds the decibel value threshold, reading and traversing each sub-decibel value data in the corresponding sub-sound data set, judging whether the sub-decibel value data exceeds the decibel value threshold according to a time sequence, and if the current sub-decibel value data exceeds the decibel value threshold, recording;
and after judging all the sub-decibel value data, judging whether the total recorded times are greater than a preset recording time threshold value, and if the total recorded times are greater than the preset recording time threshold value, sending an abnormal signal to the communication unit.
By adopting the technical scheme, the frequency of all sub-decibel value threshold values exceeding the decibel value threshold value in the same decibel value data is recorded, so that the accuracy rate of finding abnormal conditions can be further improved, and abnormal signals caused by unexpected conditions such as screaming and noises generated by outdoor loudspeakers are reduced.
Optionally, after the current decibel value data does not exceed the decibel value threshold, the method includes:
judging whether the current decibel value data is 0 or not, if so, sending fault information to the server, and enabling the server to send a fault signal to the alarm terminal based on the fault information.
By adopting the technical scheme, whether the sensing unit has a fault can be well judged by judging whether the binary value data is 0, so that the control of a manager on the safety early warning system is facilitated.
Optionally, the method further includes: the server sends a shooting request to the corresponding camera terminal based on the received position information;
the camera terminal responds to the shooting request to obtain image data and returns the image data to the server;
the server receives the image data and sends the image data to the alarm terminal;
and the alarm terminal receives and displays the image data.
By adopting the technical scheme, in order to further improve the understanding of the management personnel on the abnormal conditions and reduce the misjudgment on the abnormal conditions, the indoor scene is immediately shot through the shooting terminal under the condition of the abnormal conditions, so that the shot picture data can assist the management personnel to know the specific indoor conditions at the first time, and corresponding measures are taken.
The embodiment of the invention has the beneficial effects that: the safety early warning system does not need to be artificially triggered, has a decibel acquisition function and an analysis function, can achieve the purpose that sound is initiatively triggered after reaching a decibel value threshold value, and is used through the cooperation of the server and the alarm terminal, so that accurate warning is realized, and the management effect of management personnel is improved.
Drawings
Fig. 1 is a schematic structural diagram of a home management security early warning system based on the internet of things according to an embodiment of the present application;
fig. 2 is a schematic flowchart of an application method of a home management security early warning system based on the internet of things according to an embodiment of the present application;
fig. 3 is a schematic view of a first sub-flow of an application method of a home pipe security early warning system based on the internet of things according to the embodiment of the present application;
fig. 4 is a second sub-flow diagram of an application method of a home management security early warning system based on the internet of things according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
Fig. 1 is a schematic structural diagram of a home management safety early warning system based on the internet of things according to an embodiment of the present application.
As shown in fig. 1, a home management safety precaution system based on internet of things includes decibel detection terminal, server and alarm terminal, wherein:
the decibel detection terminal is used for acquiring indoor sound data, converting the sound data into decibel value data, judging whether the decibel value data are abnormal or not, and sending an abnormal signal to the server if the decibel value data are abnormal, wherein the abnormal signal comprises abnormal information and stored position information;
the server is used for receiving the abnormal signal and sending the abnormal signal to the alarm terminal;
and the alarm terminal receives the abnormal signal and sends out a corresponding early warning signal.
In this embodiment, the server is respectively through network and decibel detection terminal and alarm terminal signal connection, wherein, decibel detection terminal installs in advance on the roof of dormitory, and simultaneously, based on the area size of dormitory, a dormitory also can evenly distributed have a plurality of decibel detection terminals, in this embodiment, alarm terminal includes but not limited to mobile terminal such as cell-phone, install in advance at the indoor host pipe display screen of host pipe, host pipe warning light and bee calling organ, it explains that, the server can send abnormal signal to the cell-phone simultaneously, the host pipe display screen, host pipe warning light and bee calling organ.
Specifically, the decibel detection terminal collects indoor sound data in real time and processes the sound data, for example, a20X dormitory is in a quarrel, the decibel detection terminal installed in the a20X dormitory converts the collected sound data into decibel data, and can judge that the decibel data is abnormal, and then can generate abnormal signals and send the abnormal signals to the server at the first time, the server receives the abnormal signals and forwards the abnormal signals to the alarm terminal, and the alarm terminal sends corresponding early warning signals after receiving the abnormal signals, for example, a mobile phone of the host pipe can display a short message notification, a display screen displays a word of "abnormal occurrence in the a20X dormitory", a lighting lamp of the alarm lamp and a buzzer sounds, that is, the host pipe can know which dormitory is abnormal at the first time through related warning, and can quickly reach the corresponding dormitory to perform abnormal accidents, such as noise generation and framing, so that further aggravation of the abnormal accidents is reduced.
The safety early warning system does not need to be triggered artificially, has a decibel acquisition function and an analysis function, can actively trigger after sound reaches a decibel value threshold value, and is used in cooperation with the alarm terminal through the server, so that accurate warning is realized, and the management effect of the host management is improved.
It should be noted that the location information is pre-stored in the db check terminal, for example, if the db check terminal is installed in a dormitory No. a20X, the location information is "No. a 20X".
In a specific embodiment, the decibel detection terminal includes a sensing unit and a communication unit processing unit, wherein:
the sensing unit is used for acquiring indoor sound data and sending the sound data to the processing unit;
the processing unit is used for converting the acquired sound data into decibel value data, judging whether the decibel value data exceeds a decibel value threshold value or not, and if the decibel value data exceeds the decibel value threshold value, sending an abnormal signal to the communication unit;
the communication unit is used for receiving the abnormal signal and sending the abnormal signal to the server.
In this embodiment, the sensing unit may be a microphone, the microphone is firstly used to collect indoor sound, and the generated sound data is sent to the processing unit according to a preset time, for example, after sound within 10s is collected, the sound data is sent to the processing unit once, the processing unit receives the sound data and converts the sound data into decibel value data, and then the decibel value data is determined, it should be understood that one decibel value data includes a plurality of decibel values (numerical values of decibels), specifically, it is determined whether a decibel value of the decibel value data exceeds a decibel value threshold, for example, the decibel value threshold is set to 80 decibels, if a decibel value exceeds the decibel value threshold, it is determined that people in the room are quarreling, and an abnormal signal is generated and sent to the communication unit; and the communication unit receives the abnormal signal and forwards the abnormal signal to the server.
In a specific embodiment, the safety precaution system of this application still includes the terminal of making a video recording, wherein:
the server is used for sending a shooting request to the corresponding camera terminal based on the position information;
the camera terminal is used for receiving the shooting request, acquiring indoor image data, returning the image data to the server and enabling the server to send the image data to the alarm terminal;
and the alarm terminal receives and displays the image data.
In this embodiment, because there may be a situation that sound is high because of a quarrel indoors, in order to improve the accuracy of warning, the safety warning system further includes a camera terminal, where the camera terminal includes a camera, in a specific application scenario, after receiving an abnormal signal, the server sends a shooting request to a corresponding camera terminal based on location information in the abnormal signal, after receiving the shooting request, the camera terminal takes a picture indoors in response to the shooting request, obtains image data, and finally returns the image data to the server, and after receiving the image data, the server forwards the image data to the alarm terminal, and the alarm terminal receives and displays the image data, and after receiving the image data, the host can visually know the situation in the host, thereby playing a role in assisting the judgment of the host.
For example, received image data is displayed on a display screen and/or a mobile phone, it should be noted that the image data does not only include one image, but also includes a plurality of images shot by the camera terminal in a continuous time, and if necessary, the camera terminal can also take a picture, and the image data is replaced by video data.
Fig. 2 is a schematic flowchart of an application method of a home tube security early warning system based on the internet of things according to the embodiment of the present application.
As shown in fig. 2, the main flow of the method is described as follows:
s101, the decibel detection terminal acquires indoor sound data, converts the sound data into decibel value data, judges whether the decibel value data are abnormal or not, and sends an abnormal signal to the server if the decibel value data are abnormal, wherein the abnormal signal comprises abnormal information and stored position information;
s102, the server receives the abnormal signal and sends the abnormal signal to the alarm terminal;
s103, the alarm terminal receives the abnormal signal and sends out a corresponding early warning signal.
In this embodiment, the decibel detection terminal collects indoor sound data in real time and processes the sound data, for example, a20X dormitory is quarreling, the decibel detection terminal installed in the a20X dormitory converts the collected sound data into decibel data, and can determine that the decibel data is abnormal, and then can generate an abnormal signal and send the abnormal signal to the server in the first time, the server receives the abnormal signal and forwards the abnormal signal to the alarm terminal, and the alarm terminal sends a corresponding early warning signal after receiving the abnormal signal, for example, a mobile phone of the host pipe can display a short message notification, a display screen displays a word "the abnormal occurs in the a20X dormitory", a light appears in the alarm lamp, and a buzzer sounds, that is, the host pipe can know which dormitory is abnormal in time through a related warning in the first time, and can quickly reach the corresponding dormitory to perform abnormal accidents, such as quarrel, and play a frame to process, thereby further exacerbation the abnormal accidents is reduced.
The application method of the safety early warning system does not need to be triggered manually, has a decibel acquisition function and an analysis function, can achieve active triggering after sound reaches a decibel value threshold, and achieves accurate warning through cooperation of the server and the alarm terminal, so that the management effect of the host management is improved.
With reference to fig. 3, in an embodiment, the step S101 includes the following steps:
s10, the sensing unit acquires indoor sound data and sends the sound data to the processing unit;
s11, the processing unit converts the acquired sound data into decibel value data, judges whether the decibel value data exceeds a decibel value threshold value or not, and sends an abnormal signal to the communication unit if the decibel value data exceeds the decibel value threshold value;
s12, the communication unit receives the abnormal signal and sends the abnormal signal to the server.
In this embodiment, the sensing unit collects indoor sound, and sends generated sound data to the processing unit according to a preset time, for example, after sound within 10s is collected, sound data is sent to the processing unit once, the processing unit receives the sound data and converts the sound data into decibel value data, and then, the decibel value data is judged, it should be understood that one decibel value data is composed of a plurality of decibel values, specifically, whether a decibel value of the decibel value data exceeds a decibel value threshold value is judged, for example, the decibel value threshold value is set to 80, if a decibel value exceeds the decibel value threshold value, it is judged that someone in a room is quarreling, and an abnormal signal is generated and sent to the communication unit; and the communication unit receives the abnormal signal and forwards the abnormal signal to the server.
In an embodiment, with reference to fig. 4, the step S11 includes the following steps:
s20, receiving sound data sent by the sensing unit;
s21, segmenting the sound data according to a time sequence to obtain a sub-sound data set;
s22, selecting sub-sound data in the sub-sound set based on a preset sampling rule;
s23, calculating each selected sub-sound data to obtain corresponding decibel value data;
s24, judging whether each decibel value data exceeds a decibel value threshold value or not, and executing a step S25 if the current decibel value data exceeds the decibel value threshold value;
and S25, sending an abnormal signal to the communication unit.
In this embodiment, it should be added that the occurrence frequency of the abnormal event is not high, and the abnormal event does not occur in a part of dormitories or even at one time, if the processing unit needs to perform complete calculation on each segment of sound data, the processing efficiency of the processing unit will be reduced and the service life of the processing unit will be reduced, so the present application will perform pre-processing on the sound data, specifically, cut the sound processing data according to a time sequence, for example, 10s sound data is divided into a first segment of sub-sound data, a second segment of sub-sound data, a third segment of sub-sound data, a fourth segment of sub-sound data, and a fifth segment of sub-sound data, obtain a sub-sound data set, that is, each segment of sub-sound data occupies 1/5 time of the total sound data, the processing unit selects the first segment of sub-sound data, the third segment of sub-sound data, and the fifth segment of sub-sound data in an interval manner, performs decibel calculation on the selected sub-sound data, obtain corresponding 3 segments of decibel data, and finally determine whether all decibel values in the 3 segments of sub-sound data exceed a threshold value, and if the abnormal event occurs in the 3 segments of sub-sound data, the abnormal event occurs in the dormitory, the abnormal event occurs in the host.
It should be noted that the generation of the abnormal event is not a short process, and generally lasts for several minutes, so that whether a quarrel occurs in the dormitory can be still well identified by the above method.
In a specific embodiment, the step S25 includes the following steps:
s30, if the current decibel value data exceeds a decibel value threshold value, executing a step S31;
s31, reading and traversing each sub-decibel value data in the corresponding sub-sound data set, judging whether the sub-decibel value data exceed a decibel value threshold value according to a time sequence, and executing a step S32 if the sub-decibel value data exceed the decibel value threshold value currently;
and S32, recording the occurrence times of the sub decibel value data exceeding the decibel value threshold value. In this embodiment, in order to further improve the warning accuracy, if the processing unit of the present application finds that one decibel value exceeds the decibel value threshold, the processing unit may convert each sub-decibel value data in the whole sub-sound data set to identify the number of multiple decibel values exceeding the threshold in the whole sub-sound data set, and if the occurrence frequency is greater than the preset occurrence frequency threshold, it is determined that an abnormal event occurs in the dormitory, so as to reduce the misjudgment of the processing unit due to sudden screaming sound or other harsh sounds.
It should be added that, the decibel value threshold of the present application may be different in each dormitory, when setting, the sensing unit is utilized to collect the first sound data when someone is in the room normally communicating, then the first sound data is converted into the first decibel value data, all decibel values in the first decibel value data are averaged to obtain the basic decibel value, then an additional decibel value within a range of 10 to 15 is added to the basic decibel value to obtain the decibel value threshold, where the lower the basic decibel value of the dormitory is, the lower the weight assigned to the additional decibel value is, the higher the basic decibel value of the dormitory is, the higher the weight assigned to the additional decibel value is, for example, the basic decibel value of one dormitory is 40 decibels, it is stated that the person in the dormitory is in a softer language during communication, the additional decibel value is given to 10, for example, the basic decibel value of one dormitory is given to 60 decibels, it is stated that the person in the dormitory is in a relatively noisy during communication, thus, it is favorable to identify the alarm unit for each dormitory in a different post-stage.
In an embodiment, after the step S25, the method further includes the following steps:
s26, if the current decibel value data does not exceed the decibel value threshold, continuously judging whether the next decibel value data exceeds the decibel value threshold;
and S27, deleting the current sub-sound data set after judging that all the decibel value data do not exceed the decibel value threshold value.
In this embodiment, to avoid the useless decibel value data from occupying the memory of the processing unit, the processing unit deletes the decibel value data that does not exceed the decibel value threshold, so as to reduce the occurrence of data redundancy.
In an embodiment, after the step S25, the method further includes the following steps:
s28, judging whether the current decibel value data is 0 or not, and if the current decibel value data is 0, executing a step S29;
and S29, sending fault information to the server, and enabling the server to send a fault signal to the alarm terminal based on the fault information.
In this embodiment, the decibel value is unlikely to be equal to 0 under normal conditions, because outdoor noise can enter the room, and then is gathered by the sensing unit, if the converted decibel value data is 0, or the processing unit does not receive sound data for a long time, it indicates that the sensing unit breaks down, the processing unit generates fault information and sends the fault information to the server, and the server generates a fault signal based on the fault information and sends the fault signal to the fault signal, so that the host pipe can timely remove faults.
In a specific embodiment, the application method of the safety pre-warning system further includes the following steps:
s104, the server sends a shooting request to the corresponding camera terminal based on the received position information;
s105, the camera terminal responds to the shooting request to obtain image data, and the image data are returned to the server;
s106, the server receives the image data and sends the image data to the alarm terminal;
and S107, the alarm terminal receives and displays the image data.
In this embodiment, because there may be a situation that sound is high because of noise in a room, in order to improve the accuracy of warning, the security early warning system of the present application further includes a camera terminal, in a specific application scenario, after receiving an abnormal signal, the server sends a shooting request to the corresponding camera terminal based on the location information in the abnormal signal, after receiving the shooting request, the camera terminal takes a picture indoors in response to the shooting request to obtain image data, and finally returns the image data to the server, and after receiving the image data, the server forwards the image data to the alarm terminal, and the alarm terminal receives and displays the image data.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments with a particular combination of the above-mentioned features, but also encompasses other embodiments with any combination of the above-mentioned features or their equivalents without departing from the spirit of the application. For example, the above features and the technical features (but not limited to) having similar functions in the present application are mutually replaced to form the technical solution.

Claims (10)

1. A home management safety early warning system based on the Internet of things is characterized by comprising a decibel detection terminal, a server and an alarm terminal;
the decibel detection terminal is used for acquiring indoor sound data, converting the sound data into decibel value data, judging whether the decibel value data are abnormal or not, and sending an abnormal signal to the server if the decibel value data are abnormal, wherein the abnormal signal comprises abnormal information and stored position information;
the server is used for receiving the abnormal signal and sending the abnormal signal to the alarm terminal;
and the alarm terminal receives the abnormal signal and sends out a corresponding early warning signal.
2. The Internet of things-based host pipe safety early warning system of claim 1, wherein the decibel detection terminal comprises a sensing unit and a communication unit processing unit;
the sensing unit is used for acquiring indoor sound data and sending the sound data to the processing unit;
the processing unit is used for converting the acquired sound data into decibel value data, judging whether the decibel value data exceeds a decibel value threshold value or not, and if the decibel value data exceeds the decibel value threshold value, sending an abnormal signal to the communication unit;
the communication unit is used for receiving the abnormal signal and sending the abnormal signal to the server.
3. The Internet of things-based host pipe safety early warning system of claim 2, further comprising a camera terminal;
the server is used for sending a shooting request to the corresponding camera terminal based on the position information;
the camera terminal is used for receiving the shooting request, acquiring indoor image data, returning the image data to the server and enabling the server to send the image data to the alarm terminal;
and the alarm terminal receives and displays the image data.
4. An application method of the Internet of things-based sink management safety early warning system as claimed in any one of claims 1 to 3, characterized by comprising the following steps:
the decibel detection terminal acquires indoor sound data, converts the sound data into decibel value data, judges whether the decibel value data are abnormal or not, and sends an abnormal signal to the server if the decibel value data are abnormal, wherein the abnormal signal comprises abnormal information and stored position information;
the server receives the abnormal signal and sends the abnormal signal to the alarm terminal;
and the alarm terminal receives the abnormal signal and sends out a corresponding early warning signal.
5. The method for applying the internet of things-based hosting safety precaution system according to claim 4, wherein the precaution system is the internet of things-based hosting safety precaution system according to claim 2, the method further comprising:
the sensing unit acquires indoor sound data and sends the sound data to the processing unit;
the processing unit converts the acquired sound data into decibel value data, judges whether the decibel value data exceeds a decibel value threshold value or not, and sends an abnormal signal to the communication unit if the decibel value data exceeds the decibel value threshold value;
the communication unit receives the abnormal signal and sends the abnormal signal to the server.
6. The application method of the Internet of things-based host pipe safety early warning system according to claim 5, wherein the processing unit converts the acquired sound data into decibel value data, judges whether the decibel value data exceeds a decibel value threshold, and sends an abnormal signal to the communication unit if the decibel value data exceeds the decibel value threshold, and the method comprises the following steps:
receiving sound data transmitted by the sensing unit;
dividing the sound data according to a time sequence to obtain a sub-sound data set;
selecting sub-sound data in the sub-sound set based on a preset sampling rule;
calculating each selected sub-sound data to obtain corresponding decibel value data;
and judging whether each decibel value data exceeds a decibel value threshold value or not, and if the current decibel value data exceeds the decibel value threshold value, sending an abnormal signal to the communication unit.
7. The application method of the Internet of things-based hosting safety precaution system according to claim 6, wherein after the sending the decibel value data to the communication unit, the method comprises:
if the current decibel value data does not exceed the decibel value threshold, continuing to judge whether the next decibel value data exceeds the decibel value threshold;
and deleting the current sub-sound data set after judging that all the decibel value data do not exceed the decibel value threshold value.
8. The application method of the internet of things-based host management safety early warning system, according to claim 6, wherein if the current decibel value data exceeds a decibel value threshold, sending an abnormal signal to the communication unit includes:
if the current sub-decibel value data exceeds the decibel value threshold, reading and traversing each sub-decibel value data in the corresponding sub-sound data set, judging whether the sub-decibel value data exceeds the decibel value threshold according to a time sequence, and if the current sub-decibel value data exceeds the decibel value threshold, recording;
and after judging all the sub-decibel value data, judging whether the total recorded times are greater than a preset recording time threshold value, and if the total recorded times are greater than the preset recording time threshold value, sending an abnormal signal to the communication unit.
9. The method for applying the internet of things-based host safety warning system according to claim 8, wherein the step of, if the current decibel value data does not exceed a decibel value threshold, performing:
judging whether the current decibel value data is 0 or not, if so, sending fault information to the server, and enabling the server to send a fault signal to the alarm terminal based on the fault information.
10. The method for applying the internet of things-based hosting safety precaution system according to claim 8, wherein the precaution system is the internet of things-based hosting safety precaution system according to claim 3, the method further comprising:
the server sends a shooting request to the corresponding camera terminal based on the received position information;
the camera terminal responds to the shooting request to obtain image data and returns the image data to the server;
the server receives the image data and sends the image data to the alarm terminal;
and the alarm terminal receives and displays the image data.
CN202210810749.7A 2022-07-11 2022-07-11 Internet of things-based host pipe safety early warning system and application method Pending CN115188169A (en)

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