CN210466678U - Drowning alarm device based on ZigBee communication - Google Patents
Drowning alarm device based on ZigBee communication Download PDFInfo
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Abstract
The utility model belongs to the technical field of wireless communication monitoring alarm equipment, and relates to a drowning alarm device based on ZigBee communication; the system comprises a base station MCU, a base station ZigBee module, a wifi/Ethernet module, a base station LCD display screen, a base station flash memory, an SIM card and a direct current power supply; the base station ZigBee module is connected with the base station MCU through the UART module and carries out information transmission; the wifi/Ethernet module is connected with the base station MCU through the SPI module and carries out information transmission; the base station LCD display screen is connected with the base station MCU through the IIC module and carries out information transmission; the base station flash memory is connected with the base station MCU through the SPI module and carries out information transmission; the SIM card is connected with the base station MCU through the UART module and carries out information transmission; the direct current power supply is electrically connected with the base station MCU; the drowning alarm device is connected with the drowning detection bracelet through a ZigBee communication technology; drowned alarm device's based on zigBee communication rational in infrastructure perfect, scientific and practical need not use equipment such as large-scale server, and overall system simple structure, low cost, the energy consumption is little.
Description
The technical field is as follows:
the utility model belongs to the technical field of wireless communication monitoring alarm device, a utilize zigBee communication technology to carry out the equipment of reporting to the police in real time to the drowned condition of swimmer, concretely relates to drowned alarm device based on zigBee communication.
Background art:
ZigBee is a novel wireless communication technology, and is suitable for a series of electronic component devices with short transmission range and low data transmission rate; the ZigBee wireless communication technology can achieve mutual coordination communication among thousands of tiny sensors by depending on special radio standards, so the technology is often called Home RF Lite wireless technology and FireFly wireless technology; the ZigBee wireless communication technology can also be applied to the fields of control, automation and the like based on wireless communication in a small range, can save wired cables among computer equipment and a series of digital equipment, and can further realize wireless networking among various different digital equipment to realize mutual communication or access the Internet.
In the prior art, chinese patent with publication number CN107566797A discloses a drowning monitoring and detecting device for swimming pool, which mainly comprises: computer processing unit, camera, polarizer, attitude detector, calling set and LED watch-dog etc. its main process steps are: starting a detection system, monitoring and target matching, foreground detection and target tracking, target tracking and positioning, drowning judgment and drowning alarm; the device can process the information shot by the cameras in time and send out drowning alarm, is provided with a plurality of cameras, servers and the like, and has high equipment cost and large power consumption; the Chinese patent with the publication number of CN109102678A discloses a drowning behavior detection method integrating UWB indoor positioning and video target detection and tracking technology, and relates to equipment comprising an intelligent bracelet module, an intelligent monitoring information processing module, a communication module and a display alarm module, wherein the intelligent bracelet module is used for carrying out indoor positioning, and the intelligent monitoring information processing module is used for processing video data acquired by an intelligent monitoring camera, positioning information and water depth information of an intelligent bracelet; communication module is used for realizing the information transfer between intelligent bracelet module, intelligent monitoring information processing module and the display alarm module, the utility model discloses a concrete detection step is gone on according to following mode: initializing a system: establish the relation of intelligent surveillance camera head image, intelligent bracelet module location and swimming pool coordinate system, setting for carrying out drowned condition, carry out drowned judgement through drowned detection algorithm, the device is the same need install many cameras, and equipment fixing cost is high to information transmission speed remains to be improved.
In a word, the existing swimming pool monitoring and detecting device has the problems of high manufacturing cost, high maintenance cost, large equipment power consumption and the like; with the development of wireless communication technology, the information transmission rate of the existing equipment cannot keep pace with the development of the times, and the life safety of swimmers in the speed relation of data transmission is improved, so that the performance of the equipment is improved, and the equipment has important significance for protecting swimmers in a swimming pool.
The utility model has the following contents:
the utility model aims to overcome the defects of the prior equipment and design a drowning alarm device based on ZigBee communication; the method does not need to use a large-scale server, and overcomes the defects of high cost and large power consumption of the existing drowning monitoring system.
In order to achieve the purpose, the utility model relates to a drowning alarm device based on ZigBee communication, the main structure of which comprises a base station MCU, a base station ZigBee module, a wifi/Ethernet module, a base station LCD display screen, a base station flash memory, an SIM card and a DC power supply; the base station ZigBee module is connected with the base station MCU through the UART module and carries out information transmission; the wifi/Ethernet module is connected with the base station MCU through the SPI module and carries out information transmission; the base station LCD display screen is connected with the base station MCU through the IIC module and carries out information transmission; the base station flash memory is connected with the base station MCU through the SPI module and carries out information transmission; the SIM card is connected with the base station MCU through the UART module and carries out information transmission; the direct current power supply is electrically connected with the base station MCU.
The utility model discloses a drowning alarm device based on zigBee communication pass through zigBee communication technology with drowning detection bracelet and be connected and carry out information transmission; the drowning detection bracelet main body structure comprises an MCU, a ZigBee module, an accelerometer, a heart rate measurement sensor, a water depth sensor, a flash memory, an LED alarm lamp, an LCD display screen and a lithium battery; the ZigBee module is connected with the MCU through the UART module and carries out information transmission; the accelerometer is connected with the MCU through the UART module and carries out information transmission; the heart rate measuring sensor is connected with the MCU through the IIC module and carries out information transmission; the water depth sensor is connected with the MCU through the IIC module and carries out information transmission; the flash memory is connected with the MCU through the SPI module and carries out information transmission; the LED alarm lamp is connected with the MCU through the GPIO module and performs information transmission; the LCD display screen is connected with the MCU through the IIC module and carries out information transmission; the lithium battery is electrically connected with the MCU.
The drowning detection bracelet of the utility model can be provided with an RFID module which is used for registering and opening a cabinet for storing personal articles arranged in a swimming pool place; the drowning detection bracelet or the removable bracelet is attached to swimming goggles and a swimming cap.
Compared with the prior art, the utility model, the drowned alarm device's based on zigBee communication that designs rational in infrastructure perfect, scientific and practical need not use equipment such as large-scale server, and overall structure is simple, low cost, and the energy consumption is little, and real-time transmission is efficient, can real time monitoring swimmer, and drowned state discernment is accurate, and when the dangerous condition appeared, the warning was in time, has effectively ensured swimmer's life safety.
Description of the drawings:
fig. 1 is the utility model relates to a drowned alarm device's based on zigBee communication structure principle schematic block diagram.
Fig. 2 is the utility model relates to a structure principle schematic block diagram of drowned detection bracelet.
Fig. 3 is the utility model relates to a drowned specific process flow schematic block diagram that detects bracelet operation.
Fig. 4 is a schematic block diagram of a specific process flow of the operation of the drowning alarm device of the present invention.
Fig. 5 is a schematic view of the windowing of the accelerometer measurement data according to the present invention.
Fig. 6 is a schematic diagram of a measurement value of a static accelerometer according to the present invention.
Fig. 7 is a graph showing the average value and the standard deviation in the stationary state according to the present invention.
Fig. 8 is a schematic diagram of the total test data of the free swimming accelerometer according to the present invention.
Fig. 9 is a partial enlarged schematic view of the test data of the free swimming accelerometer according to the present invention.
Fig. 10 is a graph showing the mean value and the standard difference in the freestyle state according to the present invention.
Fig. 11 is a schematic diagram of all measurement data of the accelerometer at the initial stage of simulating drowning according to the present invention.
Fig. 12 is a schematic view showing a local amplification of the measurement data of the accelerometer at the initial stage of simulating drowning according to the present invention.
Fig. 13 is a graph showing the mean value and standard deviation of the simulated drowning initial stage according to the present invention.
Fig. 14 is a schematic view of the whole measurement data of the accelerometer in the stage of simulating drowning struggling.
Fig. 15 is a schematic view showing local amplification of accelerometer measurement data in a simulated drowning struggling stage according to the present invention.
Fig. 16 is a graph showing the mean value and standard difference of the drowning struggling stage simulated according to the present invention.
Fig. 17 is a schematic view of a decision tree action recognition flow according to the present invention.
The specific implementation mode is as follows:
the present invention will be further described with reference to the following examples and accompanying drawings.
Example 1:
a drowning alarm device based on ZigBee is connected with a drowning detection bracelet through ZigBee communication technology and carries out information transmission; as shown in fig. 1, the main structure of the device comprises a base station MCU1, a base station ZigBee module 2, a wifi/ethernet module 3, a base station LCD display 4, a base station flash memory 5, a SIM card 6 and a dc power supply 7; wherein
The base station MCU1 is used for acquiring information transmitted by the drowning detection bracelet through the base station ZigBee module 2, controlling the base station LCD display screen 4 to display alarm information, sending the alarm information to a security officer, and storing the acquired information in the base station flash memory 5; the base station MCU1 is installed and operated with a program designed by Qingdao joint Intelligent-creating science and technology Limited;
the base station ZigBee module 2 is used for communicating with the drowning detection bracelet and transmitting information acquired from the drowning detection bracelet to the base station MCU 1; the base station ZigBee module 2 is connected with the base station MCU1 through a UART module (UART is fully called as a universal asynchronous transceiver transmitter) and carries out information transmission;
the wifi/Ethernet module 3 is used for assisting the base station MCU1 to send alarm information to a security officer; the wifi/ethernet module 3 is connected with the base station MCU1 through the SPI module and performs information transmission (SPI is an abbreviation of a serial peripheral interface, is a high-speed, full-duplex, synchronous communication bus, and occupies only four wires on the pins of the chip, saving the pins of the chip);
the base station LCD display screen 4 is used for displaying alarm information sent by the base station MCU 1; the base station LCD display screen 4 is connected with the base station MCU1 through an IIC module and carries out information transmission (IIC is a bus structure, also called as I2C serial bus, generally has two signal lines, one is a bidirectional data line SDA, and the other is a clock line SCL.);
the base station flash memory 5 is used for storing basic information of the drowning alarm device and measurement data of the bracelet accelerometer; the base station flash memory 5 is connected with the base station MCU1 through the SPI module and performs information transmission (the base station flash memory 5 is a non-volatile memory, which is one of memory devices, and can hold data for a long time without current supply);
the SIM card 6 is used for sending alarm information to safety patrollers through the SIM card when the swimming pool is indoors without wifi/Ethernet; the SIM card 6 is connected with the base station MCU1 through a UART module and carries out information transmission;
the direct current power supply 7 is used for providing electric energy for the drowning alarm device, and the direct current power supply 7 is electrically connected with the base station MCU 1.
Example 2:
a drowning detection bracelet matched with the ZigBee-based drowning alarm device in embodiment 1 is shown in fig. 2, and the main structure of the drowning detection bracelet comprises an MCU8, a ZigBee module 9, an accelerometer 10, a heart rate measuring sensor 11, a water depth sensor 12, a flash storage 13, an LED alarm lamp 14, an LCD display screen 15 and a lithium battery 16; wherein
The MCU8 is used as a microprocessor for acquiring the heart rate, blood pressure and motion state of the wearer, processing and analyzing the acquired information, and giving an alarm in time when the data analysis result is that the wearer is abnormal; the MCU8 is installed and operated with a program designed by Qingdao joint Intelligent-creating science and technology Limited;
the ZigBee module 9 is used for the MCU8 to communicate with the drowning alarm device and send alarm information and measurement data; the ZigBee module 9 is connected with the MCU8 through a UART module (UART is called as universal asynchronous receiver transmitter) for information transmission;
the accelerometer 10 is used for measuring the motion state of the wearer and transmitting the motion state to the MCU8, and the MCU8 further analyzes whether the swimmer drowns; the accelerometer 10 is connected with the MCU8 through a UART module and carries out information transmission;
the heart rate measuring sensor 11 is used for measuring the heart rate of the wearer and transmitting the detected heart rate to the MCU8, the detected heart rate is used for assisting in judging whether the wearer drowns, and when the heart rate is detected to be in a static state, the drowning person is possibly in the late stage of drowning; the heart rate measuring sensor 11 is connected with the MCU8 through the IIC module and carries out information transmission; (IIC is a bus structure, also known as I2C serial bus, typically having two signal lines, one for a bi-directional data line SDA and the other for a clock line SCL.)
The water depth sensor 12 is used for measuring the current water depth of the wearer and transmitting the detected water depth value to the MCU8, and the MCU8 is used for assisting in judging whether the wearer is drowned or not through the water depth value; the water depth sensor 12 is connected with the MCU8 through the IIC module and carries out information transmission;
the flash memory 13 is used for storing basic information of a drowning detection bracelet wearer and measurement data of the accelerometer 10; the flash memory 13 is connected with the MCU8 through an SPI module and carries out information transmission (the flash memory 13 belongs to one type of memory devices, is a nonvolatile memory and can also keep data for a long time under the condition of no current supply; SPI is an abbreviation of a serial peripheral interface, is a high-speed, full-duplex and synchronous communication bus, and only occupies four wires on pins of a chip, so that the pins of the chip are saved.);
the LED alarm lamp 14 is used for carrying out flash frequency alarm under the control of the MCU8 to prompt security personnel that suspected drowning conditions of a wearer exist; the LED alarm lamp 14 is connected with the MCU8 through the GPIO module and performs information transmission; (GPIO is short for general purpose input/output, and functions like 8051P 0-P3, the pin of which can be freely used by user through program control.)
The LCD display screen 15 is used for displaying the current time, receiving and displaying the heart rate/blood pressure value measured by the MCU 8; the LCD display screen 15 is connected with the MCU8 through the IIC module and carries out information transmission;
The drowning detection bracelet may be provided with an RFID module (RFID, i.e., radio frequency identification technology) for registering and opening a cabinet for storing personal items provided in a swimming pool place.
Example 3:
as shown in fig. 3 and 4, the drowning alarm device based on ZigBee of embodiment 1 uses the drowning detection bracelet of embodiment 2 in a matching manner, and the specific work flow is as follows:
(1) open drowned detection bracelet and drowned alarm device:
configuring hardware using UART, IIC, SPI bus, wifi/Ethernet and ZigBee/Bluetooth module in the equipment for use; wearing the drowning detection bracelet on the arm of a wearer, and opening the drowning detection bracelet;
(2) reading accelerometer measurement data:
the accelerometer 10 measures the movement state of the wearer and transmits the movement state to the MCU8, and the MCU8 analyzes the current behavior of the wearer to be in a static state or a movement state according to the measurement data of the accelerometer 10 through an accelerometer-based behavior recognition algorithm;
(3) drowning analysis of the motion state:
if the MCU8 judges that the wearer is currently in a motion state, the current behavior is further analyzed and judged to be normal swimming or drowning behavior according to the accelerometer-based behavior recognition algorithm; if the wearer is in a drowning state, the MCU8 sends alarm information to the drowning alarm device through the ZigBee module 9, and meanwhile, the MCU8 controls the LED alarm lamp 14 to alarm in a flash frequency mode;
(4) drowning analysis in a static state:
if the MCU8 judges that the wearer is in a static state at present, the MCU8 acquires a water depth data value through the water depth sensor 12, compares the water depth data value with a set safe water depth threshold value of the wearer, and sets the threshold value according to the height of the wearer and the safe water depth value of the wearer from the water surface;
if the water depth data value is smaller than the threshold value, the wearer is in a safe static state; if the water depth data value is larger than the threshold value, the MCU8 further acquires a heart rate value through the heart rate measuring sensor 11, judges whether the current heart rate value of the wearer is in a drowning state, and if the detected heart rate value is not in a normal heart rate range (60-100 times/minute), the wearer is in the drowning state;
if the MCU8 judges that the wearer is in a drowning state through the heart rate value, the MCU8 sends alarm information to a drowning alarm device through the ZigBee module 9, and meanwhile, the MCU8 controls the LED alarm lamp 14 to carry out flash frequency alarm; otherwise the MCU8 continues to read the accelerometer 10 data.
(5) Receiving bracelet alarm information;
after receiving the information transmitted by the drowning detection bracelet in embodiment 3, the ZigBee module 2 of the base station transmits the information to the MCU1 of the base station;
(6) analyzing the information content:
after the base station MCU1 acquires the drowning detection bracelet alarm information, analyzing the information content;
(7) the LCD displays the alarm content:
after the base station MCU1 completes the information analysis, the base station MCU1 displays the analyzed information on the LCD display screen 4 of the base station to display the bracelet ID for sending alarm;
(8) sending alarm information to a security officer:
after the information is analyzed and completed by the base station MCU1, alarm information is sent to a security officer through the wifi/Ethernet module 3, the security officer receives alarm information from a computer end or a handheld mobile communication end, the security officer verifies whether a drowning detection bracelet wearer has a drowning danger or not, and if yes, emergency rescue is carried out;
(9) the base station continuously operates:
after alarm information handles, alarm information is gone forward by basic station MCU1 and is saved to basic station flash accumulator 5, and drowned alarm device lasts the operation, receives the alarm information by drowning detection bracelet transmission in real time.
Example 4:
s1 preprocessing accelerometer acquisition data
The accelerometer is used for measuring the motion acceleration and the gravity acceleration signals of a human body, but the measurement data of the accelerometer comprises various interference signals and noise signals, the interference and the noise can bring a lot of negative effects on drowning behavior identification, and the data measured by the accelerometer needs to be subjected to preprocessing operations such as noise filtering, smoothing, windowing and the like;
a) noise filtering and smoothing
The frequency band range of the human motion acceleration signals is mainly concentrated on 0-15Hz, the noise in the data is mainly concentrated on more than 15Hz, and a Chebyshev low-pass filter is used for filtering the data;
based on real-time and processing power considerations, an I-order chebyshev low-pass filter is chosen, designed as follows,
the index in the filter design includes G0,GB,Δf,T,fs,fpIn which G is0For reference gain, GBFor bandwidth gain,. DELTA.f for bandwidth, fsTo sample frequency, fsIs the passband cut-off frequency, fpFor the stop band cut-off frequency, the conversion to the digital domain formula is:
ω＝2πfT (1)
in this embodiment, the sampling frequency is set to 50Hz, the stop band cut-off frequency is set to 30Hz, and the digital domain pass band cut-off frequency ω is set top2 pi × 15 × 0.02 pi, and stop band cutoff frequency ωp＝2π×25×0.02＝π；
The filter is pre-distorted by the formula,
in the formula, omega is analog frequency, omega is digital frequency, and T is sampling period;
attenuation α in a known stop bands(in dB), the order of the chebyshev filter is obtained,
in the formula (I), the compound is shown in the specification,
λsfor the normalization rate, the expression is,
the passband allows a ripple of 0.2d B, the stopband internal attenuation is at least 40d B, and is calculated using equations (3) - (5), k is 460.6131, λs11.5481, the order N of the Chebyshev low-pass filter is 3;
calculating the normalized pole p of the Chebyshev low-pass filter according to the formulak,k＝1,2:N，
The transfer function of the chebyshev low-pass filter can be obtained,
the transfer function of the system is denormalized to obtain,
can be obtained by the following equations (6) to (8),
a bi-linear transformation is used and,
obtaining a discretized Chebyshev low-pass filter system function,
filtering the data sampled by the accelerometer by using the filter system function obtained by the calculation for further analysis;
b) data windowing
Acceleration data obtained by direct measurement is presented in a data stream form in a time domain, so that the acceleration data is not suitable for direct feature extraction, and window adding pretreatment is required before feature extraction is carried out on an acceleration signal; in the measurement, the data acquisition frequency of the accelerometer is 50Hz, the sampling window is set to be 256 points, the adjacent windows are overlapped by 50%, and FIG. 5 is a schematic view of the windowing processing of the accelerometer measurement data;
s2, behavior feature extraction
Because the waveform of the acceleration measurement cannot be directly used for judging the motion state of the human body and cannot be directly identified by the classifier, the characteristic extraction is carried out on the accelerometer measurement data after windowing, and the standard deviation, the mean value, the peak interval and the peak and trough are selected to form a characteristic set in the embodiment;
a) mean value
Is the simplest statistical characteristic for representing the human motion behavior, the calculation formula is as follows,
in the formula, XiIs measured data, n is the window length, mu represents the mean value of the reorganized data;
b) standard deviation of
Reflecting the discrete degree of the accelerometer signals, the static behavior and the dynamic behavior can be distinguished, and the calculation formula is as follows,
c) peak to peak spacing
In the ordinary swimming and drowning state recognition, the swing frequency of the arm is an important characteristic, the swing frequency of the arm can be measured by using the wave crest interval, the calculation formula is as follows,
ΔT＝|T2-T1| (14)
in the formula, T1Indicating the time of occurrence of the previous peak, T2Representing the time of occurrence of the latter peak;
d) wave crest and trough
The wave peak and wave valley value can represent the energy of the human body during movement and can be used for analyzing drowning behavior;
s3 action recognition based on decision tree
The characteristic set obtained by behavior characteristic extraction is used for designing attributes of internal nodes in a decision tree, the calculation amount of a decision tree classification algorithm is relatively small, the model is simple, but the identification precision is high, the decision tree classification method adopts a top-down recursion mode, the attributes of the nodes are compared internally, a top-down path is obtained according to the difference of the attributes, and classification is obtained at leaf nodes;
a decision tree is constructed using the ID3 algorithm, where S is a training sample set that includes samples of n classes, each with C1,C2,…CnExpressed, then the entropy (entropy) of S is expressed as:
wherein p isiRepresenting the probability of Ci appearing in the whole training tuple, and taking the number of the elements belonging to the class divided by the total number of the elements in the training set as an estimation, wherein the actual meaning of the entropy is represented as the average information quantity required by the class label of the tuple in the S;
the training tuples S are divided according to the attribute a, so the expected information of a to S is,
the gain of the information is obtained by the information,
gain(S,A)＝entropy(S)-entropy(S,A) (17)
the ID3 algorithm calculates the gain ratio of each attribute in the training tuples when splitting, and selects the attribute with the maximum gain ratio to split;
the present embodiment calculates the resultant acceleration from the X, Y, Z triaxial measurements of the accelerometer, i.e.,
wherein a represents the resultant acceleration, ax,ay,azRepresenting acceleration values of x, y and z axes, respectively;
taking the mean value, standard deviation, peak interval, peak-to-valley value and two-axis interphase coefficient of the combined acceleration as a characteristic set, and creating a decision tree for actions such as stillness, swimming (taking free swimming as an example here) and drowning;
based on the method, accelerometer data in the test equipment are collected, low-pass filtering is carried out on the collected data, and finally, the behavior of the person is analyzed based on the behavior characteristics.
The test cases are as follows, the accelerometer-based stationary measurements are shown in FIG. 6, and the mean and standard deviation are shown in FIG. 7; the free swimming combination acceleration data are shown in fig. 8 and fig. 9, and the mean value and standard deviation thereof are shown in fig. 10; because the drowning measurement can not be directly obtained, the measurement is obtained by simulating the drowning action, wherein the data is divided into a drowning initial state and a drowning struggling stage, the initial state data is shown in fig. 11 and fig. 12, and fig. 13 is the mean value and the variance thereof; fig. 14 and 15 show struggling state data, fig. 16 shows the mean and variance thereof, it can be seen from fig. 6 to 16 that the mean, variance, peak interval and peak-trough characterizing behavior characteristics are obviously different between different behaviors, various values obtained in measurement data can be applied to the design of a decision tree, based on experimental data, the flow of the designed decision tree is shown in fig. 17, and finally, in practical application, program codes are implemented according to the flow shown in fig. 17.
Claims (3)
1. The utility model provides a drowned alarm device based on zigBee communication which characterized in that: the main structure comprises a base station MCU, a base station ZigBee module, a wifi/Ethernet module, a base station LCD display screen, a base station flash memory, an SIM card and a direct current power supply; the base station ZigBee module is connected with the base station MCU through the UART module and carries out information transmission; the wifi/Ethernet module is connected with the base station MCU through the SPI module and carries out information transmission; the base station LCD display screen is connected with the base station MCU through the IIC module and carries out information transmission; the base station flash memory is connected with the base station MCU through the SPI module and carries out information transmission; the SIM card is connected with the base station MCU through the UART module and carries out information transmission; the direct current power supply is electrically connected with the base station MCU.
2. The drowning alarm device based on ZigBee communication according to claim 1, characterized in that: the drowning alarm device based on ZigBee communication is connected with the drowning detection bracelet through ZigBee communication technology and carries out information transmission.
3. The drowning alarm device based on ZigBee communication according to claim 2, characterized in that: the drowning detection bracelet main body structure comprises an MCU, a ZigBee module, an accelerometer, a heart rate measurement sensor, a water depth sensor, a flash memory, an LED alarm lamp, an LCD display screen and a lithium battery; the ZigBee module is connected with the MCU through the UART module and carries out information transmission; the accelerometer is connected with the MCU through the UART module and carries out information transmission; the heart rate measuring sensor is connected with the MCU through the IIC module and carries out information transmission; the water depth sensor is connected with the MCU through the IIC module and carries out information transmission; the flash memory is connected with the MCU through the SPI module and carries out information transmission; the LED alarm lamp is connected with the MCU through the GPIO module and performs information transmission; the LCD display screen is connected with the MCU through the IIC module and carries out information transmission; the lithium battery is electrically connected with the MCU.
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