Piezoelectric sensor alarm system and device

Abstract

The utility model discloses a piezoelectric sensor alarm system and device, and relates to the field of smart home. The system comprises a pressure detection circuit, a control circuit and an alarm output circuit. The pressure detection circuit is connected with the control circuit and is used for detecting dust concentration and filter screen blockage, generating a detection signal and transmitting the detection signal to the control circuit; the control circuit is connected with the alarm output circuit, and once the control circuit detects that the characteristic value of the detection signal exceeds a preset value, the alarm output circuit sends out voice prompt and light alarm. The utility model aims to solve the defects of low detection efficiency and single alarm in the prior art, and provides an alarm system based on a piezoelectric sensor to realize real-time detection of dust concentration, suction inlet blockage and filter screen blockage, and give an alarm through a buzzer, voice prompt and light alarm, so that the detection efficiency is improved. The intellectualization of the dust collector and the user experience are improved.

Description

Technical Field

[0001] The present application relates to the field of smart home, and in particular to a piezoelectric sensor alarm system and device. Background Art

[0002] With the acceleration of the pace of modern life and the development of smart home technology, vacuum cleaners have become an indispensable cleaning device in homes, offices and industrial environments. However, existing vacuum cleaners have the problem of being unable to effectively monitor the cleaning status during operation. Abnormal conditions such as excessive dust concentration, blocked suction port or clogged filter usually require users to check regularly or rely on a significant decrease in suction power to detect. This method is not only inefficient, but may also cause equipment damage or reduced cleaning effect. Therefore, it is particularly important to develop an alarm device that can monitor the operating status of the vacuum cleaner in real time and promptly remind users to perform maintenance.

[0003] At present, most of the piezoelectric sensor alarm devices available on the market are based on simple circuit designs and lack accurate classification and prompts for different abnormal situations. These devices can usually only send out a single alarm signal (such as a buzzer sound) and cannot provide users with specific fault information, resulting in users being unable to promptly learn about specific problems that require cleaning or maintenance of the equipment. In addition, existing alarm devices also have deficiencies in intelligence and user experience. For the elderly or new users, the operation is complicated and not intuitive enough. Therefore, users often cannot promptly learn about problems that require cleaning or maintenance of the equipment, affecting the efficiency of use and the life of the equipment. Utility Model Content

[0004] The main purpose of this application is to provide a piezoelectric sensor alarm system, which aims to solve the limitations of low detection efficiency and single alarm in the prior art. By monitoring the impact of particulate matter in the airflow and the airflow state, real-time detection of dust concentration, suction port blockage and filter blockage can be achieved, and warnings can be issued to users through buzzers, voice reminders and light alarms, thereby improving the intelligence of the vacuum cleaner and the user experience.

[0005] To achieve the above-mentioned purpose, an embodiment of the present application provides a piezoelectric sensor alarm system, the system comprising a pressure detection circuit, a control circuit and an alarm output circuit; wherein:

[0006] The pressure detection circuit is connected to the control circuit, and is used for dust concentration detection and filter clogging detection, and generates a detection signal to be transmitted to the control circuit;

[0007] The control circuit is connected to the alarm output circuit. Once the control circuit detects that the characteristic value of the detection signal exceeds a preset value, the alarm output circuit issues a voice reminder and a light alarm.

[0008] In one embodiment, the alarm output circuit further includes a voice module, a buzzer and an LED indicator light; wherein:

[0009] The voice module is connected to the control circuit, and the voice module is used to perform a voice alarm reminder for the detection signal;

[0010] The buzzer is connected to the control circuit, and is used to sound a buzzer alarm to remind the detection signal;

[0011] The LED indicator light is connected to the control circuit, and is used to provide a light warning to the user through the LED.

[0012] In one embodiment, the system further comprises a signal processing circuit; wherein:

[0013] The signal processing circuit is also connected to the pressure detection circuit. The signal processing circuit amplifies and filters the collected signal, and performs analog-to-digital conversion to obtain the detection signal.

[0014] In one embodiment, the system further comprises a communication module;

[0015] The communication module is connected to the control circuit, and is used for long-distance transmission of the data signal generated by the control circuit.

[0016] In one embodiment, the communication module further includes a Bluetooth module and / or a WiFi module; wherein:

[0017] The Bluetooth module is connected to the control circuit, and the Bluetooth module is used to transmit data signals of the control circuit;

[0018] The WiFi module is connected to the control circuit, and the WiFi module is used to remotely control or upgrade the firmware of the control circuit.

[0019] In one embodiment, the system further comprises an SD module; wherein:

[0020] The SD module is connected to the control circuit, and the SD module is used to store data generated by the control circuit.

[0021] In one embodiment, the system further comprises an LCD module;

[0022] The LCD module is connected to the control circuit, and the LCD module is also used for human-computer interaction operation.

[0023] In one embodiment, the system further comprises a power supply module; wherein:

[0024] The power module is connected to the control circuit, and is used to provide electrical energy to the control circuit.

[0025] In one embodiment, the alarm output circuit is also connected to an external intelligent terminal device.

[0026] To achieve the above objectives, the present application also proposes a piezoelectric sensor alarm device, which includes the above display, mobile terminal equipment and piezoelectric sensor alarm system.

[0027] The above one or more technical solutions provided by this application may have the following advantages or at least achieve the following technical effects:

[0028] The present application discloses a piezoelectric sensor alarm system, which relates to the field of smart home. The technical solution mainly includes a pressure detection circuit, a control circuit and an alarm output circuit; the pressure detection circuit is connected to the control circuit, which is used for dust concentration detection and filter clogging detection, and generates a detection signal to be transmitted to the control circuit; the control circuit is connected to the alarm output circuit, and once the control circuit detects that the characteristic value of the detection signal exceeds a preset value, the alarm output circuit issues a voice reminder and a light alarm. The present application aims to solve the limitations of low detection efficiency and single alarm in the prior art, and realizes real-time detection of dust concentration, suction port blockage and filter clogging by monitoring the impact of particles in the airflow and the state of the airflow, and issues a warning to the user through a buzzer, voice reminder and light alarm, thereby improving the intelligence of the vacuum cleaner and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0030] Figure 1 It is a schematic diagram of the system structure of the first embodiment of the piezoelectric sensor alarm system proposed in the embodiments of the present application;

[0031] Figure 2 It is a schematic diagram of the alarm output circuit structure of the piezoelectric sensor alarm system proposed in the embodiment of the present application.

[0032] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back...), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0035] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features limited to "first" and "second" may explicitly or implicitly include at least one of the features. In addition, if "and / or" or "and / or" appears in the full text, its meaning includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0036] In order to achieve efficient use of the piezoelectric sensor alarm system, this article will introduce in detail a piezoelectric sensor alarm system and device design. In view of the shortcomings of the existing technology, this technical solution aims to provide a piezoelectric sensor alarm system with dust concentration monitoring, alarm and voice reminder functions. The system can detect the dust concentration in the air in real time, and remind the user to clean or replace the filter system through the alarm device, thereby improving the efficiency and service life of the equipment. At the same time, this technical solution also improves the intelligence and user experience of the vacuum cleaner by combining multiple alarm methods (such as buzzers, LED indicators and voice reminders) and smart terminal interactive interfaces.

[0037] Combining piezoelectric sensors, alarm systems and voice reminder functions, by combining these functional components, this technical solution provides timely fault detection and user reminder functions, effectively improving the use efficiency and maintenance convenience of the equipment. Users can quickly respond to the needs of the equipment according to the voice reminder, thereby extending the service life of the equipment and ensuring the cleaning effect. This technical solution adopts a variety of alarm methods (such as buzzer sound, voice reminder and LED indicator flashing, etc.), which are suitable for the use needs of different groups of people and scenarios. At the same time, the priority sorting rules and continuous abnormal state detection mechanism are used to prevent the occurrence of false alarms, thereby improving the reliability and stability of the equipment. This technical solution can not only be applied to the field of vacuum cleaners, but also can be extended to other intelligent cleaning systems (such as sweeping robots, floor scrubbers, etc.) and air quality monitoring fields in home, office and industrial environments. Through the intelligent terminal interactive interface and wireless communication functions, users can remotely monitor the operating status of the equipment and perform corresponding operations, which improves the intelligence level of the equipment and user experience.

[0038] refer to Figure 1 , Figure 1 It is a schematic diagram of the system structure of the first embodiment of the piezoelectric sensor alarm system proposed in the embodiments of the present application.

[0039] In this embodiment, the piezoelectric sensor alarm system includes a pressure detection circuit, a control circuit and an alarm output circuit; wherein:

[0040] The pressure detection circuit is connected to the control circuit, and is used for dust concentration detection and filter clogging detection, and generates a detection signal to be transmitted to the control circuit;

[0041] The control circuit is connected to the alarm output circuit. Once the control circuit detects that the characteristic value of the detection signal exceeds a preset value, the alarm output circuit issues a voice reminder and a light alarm.

[0042] Specifically, in this embodiment, the system aims to provide a piezoelectric sensor alarm system with dust concentration monitoring, alarm and voice reminder functions. The system can detect the dust concentration in the air in real time and remind the user to clean or replace the filter system through an alarm device, thereby improving the efficiency and service life of the equipment. At the same time, this technical solution also improves the intelligence and user experience of the vacuum cleaner by combining multiple alarm methods (such as buzzer, LED indicator light and voice reminder) and smart terminal interactive interface.

[0043] The pressure detection circuit is one of the core components of this technical solution, which is used to monitor the impact of particles in the airflow and the state of the airflow in real time. The module uses piezoelectric sensor technology. When particles in the airflow hit the piezoelectric sensor, a tiny electrical signal is generated. The amplitude and frequency of these signals are proportional to the number of particles, so the current dust concentration can be calculated by analyzing these signals. The pressure detection circuit also has blockage detection and filter blockage detection functions. When the suction port is blocked by foreign matter, the airflow velocity decreases, causing the signal of the piezoelectric sensor to be significantly weakened or disappear. After the microcontroller recognizes this change, it can trigger the alarm output circuit to prompt the user. Similarly, when the filter is blocked, the airflow vibration characteristics change, and the frequency spectrum characteristics of the piezoelectric sensor output signal are different from the normal state. By analyzing the signal changes through the algorithm, the degree of filter blockage can be determined and an alarm prompt can be issued.

[0044] The control circuit is the control core of this technical solution, responsible for the realization of functions such as signal feature extraction, state judgment and alarm output. The control circuit calculates the particle concentration according to the preset formula or calibration data and compares it with the preset threshold. According to the comparison result, the microcontroller determines the current state of the device (such as normal operation, excessive dust concentration, blocked inlet or blocked filter) and triggers the corresponding alarm output circuit. The control circuit also has a self-diagnosis function. After the device is powered on, it will perform a system initialization phase, including checking whether the piezoelectric sensor is working properly, verifying the communication connection between the control module and the alarm output circuit, and initializing the status of each module. In the data processing stage, the control circuit extracts features and calculates the concentration of the collected signal, and compares the calculation result with the preset threshold. Once the signal characteristic value is detected to exceed the preset value, the alarm mechanism will be triggered. In addition, the control circuit can also selectively output data to the wireless module or smart terminal so that users can remotely monitor the operating status of the device.

[0045] The alarm output circuit includes a buzzer, a voice module, and an LED indicator light, which are used to send warning information to the user. Once the signal characteristic value exceeds the preset value, the alarm output circuit will activate the alarm mechanism.

[0046] It should be noted that in the user response stage, the user's processing measures need to be taken according to the alarm prompts. At the same time, when the dust concentration in the air returns to a safe range, the control module automatically turns off the alarm module after detecting normal data; the user can also manually press the reset button to cancel the alarm state. In the continuous monitoring stage, real-time monitoring is required. The system returns to standby mode and continues to collect and analyze dust data to ensure that the environment is always under monitoring. Record and output data. If the device supports data storage or connects to external devices (such as computers or mobile phones), the historical data of dust concentration changes can be recorded and displayed in real time through applications or screens. The specific workflow of piezoelectric sensor data analysis and alarm is as follows:

[0047] 1. System initialization phase

[0048] Step 1: Power supply module

[0049] When the power is turned on, the power module starts working to provide a stable power supply for the entire system. The design of the power module needs to consider voltage stability, current protection, and over-current and over-voltage protection functions to ensure that the system can operate stably in various environments.

[0050] Step 2: MCU executes self-test procedure

[0051] The control circuit (MCU) as the control center of the system first performs a self-test procedure. The self-test procedure includes checking whether the electrical connections of key components such as the pressure detection circuit, signal processing circuit, and alarm output circuit are normal, and whether each component is in a working state. The MCU confirms the working status of each component by sending test signals and receiving feedback signals.

[0052] Step 3: Verify the communication connection between the MCU and the alarm output circuit

[0053] In order to ensure that the alarm information can be accurately and timely delivered to the user, the communication connection between the MCU and the alarm output circuit must be stable and reliable. Therefore, during the initialization phase, the MCU will check the communication connection with the alarm output circuit (such as buzzer, LED indicator, voice module, etc.) to ensure smooth communication.

[0054] Step 4: Initialize the status of each module

[0055] After completing the self-test and communication verification, the MCU will initialize the status of each module. This includes setting the threshold of particle concentration (based on the actual application scenario and user needs) and resetting the alarm status (to ensure that the system will not falsely alarm when there is no abnormality). In addition, the MCU will also initialize other related parameters, such as the gain of the signal processing circuit, the parameters of the filter, etc.

[0056] Step 5: The system enters standby mode

[0057] After completing all initialization operations, the system enters standby mode. In standby mode, the MCU will maintain a low power state and wait for the signal captured by the piezoelectric sensor. At the same time, the MCU will periodically perform simple self-test operations to ensure that the system is always in a working state.

[0058] 2. Data Collection Phase

[0059] Step 1: Piezoelectric Sensor Captures Signal

[0060] The pressure detection circuit is one of the core components of the system. It can capture the weak electrical signals generated by the impact of particles in the airflow through the piezoelectric sensor. The working principle of the piezoelectric sensor is based on the piezoelectric effect, that is, when the piezoelectric material is subjected to external force, a charge or voltage change will occur. In the airflow, when particles hit the piezoelectric sensor, a weak electrical signal is generated, which will be captured by the piezoelectric sensor and converted into an electrical signal output.

[0061] Step 2: Signal Processing Circuit Processes the Signal

[0062] The main function of the signal processing circuit is to amplify, filter and convert the electrical signal output by the piezoelectric sensor. Since the signal output by the piezoelectric sensor is very weak, it needs to be amplified by an amplifier circuit. At the same time, in order to remove noise and interference in the signal, it is also necessary to filter it through a filter circuit. Finally, the analog signal is converted into a digital signal through an analog-to-digital conversion circuit for subsequent processing by the MCU.

[0063] Step 3: MCU receives digital signal and calculates characteristic value

[0064] After receiving the digital signal output by the signal processing circuit, the MCU will perform further processing. First, the MCU will calculate the characteristic values ​​of the signal, such as the amplitude and frequency. These characteristic values ​​can reflect information such as the number and size of particles in the airflow. By comparing these characteristic values ​​with the preset threshold, the MCU can determine whether the particle concentration in the current environment exceeds the standard.

[0065] Step 4: Calculate particle concentration

[0066] According to the preset formula or calibration data, the MCU can calculate the particle concentration. This formula or calibration data is usually obtained through experiments or simulations, and can reflect the relationship between the number of particles and the signal characteristic value. Through the calculated particle concentration value, the MCU can determine whether the air quality in the current environment meets the standard.

[0067] 3. Data processing stage (state analysis stage)

[0068] Step 1: Compare the current signal characteristic value with the preset threshold

[0069] The MCU will compare the current signal's amplitude, frequency and other characteristic values ​​with the preset thresholds. These thresholds are set according to actual application scenarios and user needs, and can reflect the range of signal characteristic values ​​under different particle concentrations. By comparing the current signal characteristic values ​​with the preset thresholds, the MCU can determine whether the particle concentration in the current environment exceeds the standard.

[0070] Step 2: Determine whether an alarm needs to be triggered

[0071] Based on the comparison results, the MCU will determine whether to trigger an alarm. If the current signal characteristic value exceeds the preset threshold, it means that the concentration of particulate matter in the environment exceeds the standard. At this time, the MCU will trigger an alarm to prompt the user to handle it. If the current signal characteristic value is within the preset threshold range, it means that the concentration of particulate matter in the environment is normal, and the MCU will not trigger an alarm.

[0072] Step 3: Prepare corresponding alarm information

[0073] If the MCU determines that an alarm needs to be triggered, it will prepare corresponding alarm information according to the type of abnormal state (such as high dust concentration, blocked suction port, clogged filter, etc.). These alarm information can be delivered to the user through different alarm methods (such as buzzer, LED indicator, voice module, etc.).

[0074] Step 4: Detect abnormal conditions

[0075] In addition to comparing the signal characteristic value with the preset threshold, the MCU can also detect abnormal conditions in other ways. For example, if the signal amplitude is significantly weakened or disappears, it may mean that the suction port is blocked; if the signal spectrum characteristics are significantly different from the normal airflow vibration pattern, it may mean that the filter is blocked. The MCU will determine whether to trigger the corresponding alarm prompt based on these detection results.

[0076] 4. Alarm triggering stage

[0077] Step 1: Select the corresponding alarm method

[0078] According to the type and priority of the abnormal state (inlet blocked > filter blocked > dust concentration too high), the MCU will select the corresponding alarm method. For example, for an urgent abnormal state such as inlet blocked, the MCU may choose to trigger both the buzzer and the LED indicator to alarm; while for a relatively less urgent abnormal state such as dust concentration too high, the MCU may choose to only trigger the LED indicator to alarm.

[0079] Step 2: Alarm confirmation delay

[0080] In order to prevent false alarms and misoperations, the MCU will set an alarm confirmation delay before triggering the alarm. This delay is usually set to a few seconds (such as 5 seconds) to ensure that the current abnormal state is persistent rather than a short-term fluctuation. If the current abnormal state persists during the delay period, the MCU will formally trigger the alarm; if the current abnormal state disappears during the delay period, the MCU will not trigger the alarm.

[0081] Step 3: Issue an alarm

[0082] When the MCU determines that an alarm needs to be triggered, it will send out sound, light and voice reminders through the corresponding modules. These reminders can attract the user's attention and remind the user to take appropriate measures. For example, the buzzer will send out a high-frequency sound to remind the user to pay attention; the LED indicator will flash red to indicate that the air quality exceeds the standard; the voice module will play a prompt voice to tell the user that the particle concentration in the current environment exceeds the standard and remind the user to take action.

[0083] 5. User response stage

[0084] Step 1: The user takes action according to the alarm prompt

[0085] When users hear the buzzer, see the LED indicator flashing, or hear the voice module prompt, they will realize that the particle concentration in the current environment exceeds the standard and needs to take action. Users may check whether the suction port is blocked, clean the dust box or filter, etc. according to the alarm prompt.

[0086] Step 2: MCU automatically turns off the alarm after detecting normal data

[0087] When the user takes action, the concentration of particulate matter in the environment will gradually decrease. When the MCU detects normal data (that is, the current signal characteristic value is within the preset threshold range), it will automatically turn off the alarm module and stop issuing alarm prompts. This indicates that the air quality in the current environment has returned to normal levels.

[0088] Step 3: The user manually presses the reset button to cancel the alarm state

[0089] In addition to the MCU automatically shutting down the alarm module, the user can also cancel the alarm state by manually pressing the reset button. This is usually used to quickly restore the system state in the event of a false alarm or misoperation causing an alarm. When the user presses the reset button, the MCU resets the alarm state and stops issuing alarm prompts. At this time, the system re-enters the standby mode and waits for the next acquisition of the piezoelectric sensor signal.

[0090] 6. Continuous Monitoring Phase

[0091] Step 1: Return the system to standby mode

[0092] After completing all operations in the user response phase, the system returns to standby mode and continues to wait for the acquisition of piezoelectric sensor signals. In standby mode, the MCU maintains a low power state to reduce energy consumption and extend system life.

[0093] Step 2: Continue collecting and analyzing dust data

[0094] In standby mode, the piezoelectric sensor will continue to capture the particle impact signal in the airflow and process it through the signal processing circuit. The MCU will receive the processed digital signal and calculate the characteristic value and particle concentration information. This information will be used for subsequent status analysis and alarm triggering operations.

[0095] Step 3: Record and export data (optional)

[0096] If the device supports data storage or is connected to external devices (such as computers, mobile phones, etc.), it can record the historical data of dust concentration changes and display them in real time through applications or screens. This helps users understand the trend of particle concentration changes in the environment and take corresponding preventive measures. At the same time, these data can also be used in subsequent data analysis and scientific research.

[0097] Step 4: Continuously monitor the status of the environment

[0098] The system continuously monitors the environmental status and ensures that the environment is always monitored. This means that regardless of whether there is excessive particulate matter in the current environment, the system will continue to collect and analyze data to provide accurate monitoring results. This helps to promptly detect and deal with potential environmental problems and protect the health and safety of users.

[0099] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated later. Figure 2 This is a schematic diagram of the alarm output circuit structure of the piezoelectric sensor alarm system proposed in the embodiment of the present application. The alarm output circuit also includes a voice module, a buzzer and an LED indicator light; wherein:

[0100] The voice module is connected to the control circuit, and the voice module is used to perform a voice alarm reminder for the alarm signal;

[0101] The buzzer is connected to the control circuit, and is used to sound a buzzer alarm to remind the detection signal;

[0102] The LED indicator light is connected to the control circuit, and is used to provide a light warning to the user through the LED.

[0103] Specifically, in this embodiment, the alarm output circuit is a key part to ensure that the user obtains the alarm information in time. The circuit is mainly composed of a voice module, a buzzer and an LED indicator light, each of which has different alarm prompt functions and is closely connected with the control circuit to achieve accurate alarm output.

[0104] The voice module is an important component of the alarm output circuit, which is directly connected to the control circuit. When the control circuit detects that the dust concentration exceeds the preset threshold, it will send an alarm signal to the voice module. After receiving the signal, the voice module will immediately start and play the preset voice alarm information, such as "Dust concentration exceeds the standard, please pay attention to protection". This voice alarm method is intuitive and clear, and can quickly attract the user's attention, ensuring that the user can understand and take countermeasures in time. When the voice module alarms, it reminds the user of the current dust concentration and the maintenance information required by the equipment through voice. The voice module can preset or customize some daily maintenance reminder sounds, such as "Dust concentration is too high, please clean it", "Suction port is blocked, please check" and "Filter is blocked, please clean the filter".

[0105] The buzzer is another common alarm device that also plays an important role in the piezoelectric sensor alarm system. It is also directly connected to the control circuit. When an abnormal dust concentration is detected, the control circuit will send an alarm signal to the buzzer. After receiving the signal, the buzzer will emit a crisp buzzing sound to alert the user. The alarm sound of the buzzer usually has high-frequency characteristics and can quickly penetrate the noisy environment, ensuring that the user can hear the alarm information even in noisy occasions. The buzzer emits a high-frequency sound to alert the user that the device is faulty. The control logic of the buzzer can be set to sound continuously or intermittently as needed.

[0106] The LED indicator is another important component in the alarm output circuit. It provides light alerts to users through LEDs. The LED indicator is also connected to the control circuit. When the dust concentration exceeds the set value, the control circuit will activate the LED indicator to emit a specific color of light to alert the user. The LED indicator uses different colors of light (such as red, yellow and green) to indicate the operating status of the equipment and the dust concentration. For example, the indicator flashes red when the dust concentration is high, the indicator is always yellow when the dust concentration is medium, and the indicator is always green when the dust concentration is low. The LED light alarm is intuitive and easy to identify, and it can be clearly seen even in a dim environment. In addition, the LED indicator can also adjust the flashing frequency or brightness of the light according to the dust concentration to provide more detailed alarm information.

[0107] It is easy to understand that the alarm output circuit realizes all-round and multi-angle reminders of excessive dust concentration by integrating multiple alarm methods such as voice module, buzzer and LED indicator. These alarm methods cooperate with each other to ensure that users can obtain accurate alarm information in time in different occasions, so as to take effective protective measures. At the same time, the alarm output circuit also has certain flexibility and scalability, and can be customized and adjusted according to actual needs to meet the needs of different application scenarios.

[0108] Furthermore, in this embodiment, the system further includes a signal processing circuit; wherein:

[0109] The signal processing circuit is also connected to the pressure detection circuit. The signal processing circuit amplifies and filters the collected signal, and performs analog-to-digital conversion to obtain the detection signal.

[0110] Specifically, in this embodiment, the signal processing circuit plays a vital role. It is responsible for processing the weak electrical signals generated by the piezoelectric sensor, which represent the impact of dust particles in the environment on the sensor. The main functions of the signal processing circuit include acquisition, amplification, filtering, and analog-to-digital conversion, ensuring that these weak electrical signals can be accurately and effectively converted into digital signals for further processing and analysis by the subsequent control circuit.

[0111] The signal processing circuit is first responsible for collecting the electrical signals generated by the piezoelectric sensor. These signals are usually very weak and may contain various noises and interferences. Therefore, the process of signal acquisition requires high sensitivity and accuracy to ensure the integrity and authenticity of the signal. Since the signals generated by the piezoelectric sensor are very weak, the signal processing circuit needs to amplify them. The design of the amplifier circuit needs to take into account factors such as the frequency range, gain stability, and noise level of the signal to ensure that the amplified signal has sufficient amplitude and signal-to-noise ratio. Filtering is an important step in the signal processing circuit. It is used to remove noise and interference from the signal and improve the purity and accuracy of the signal. The design of the filter needs to take into account the spectral characteristics of the signal and the spectral distribution of the noise to ensure that the filtered signal can retain useful information while removing unnecessary noise. The analog signal after amplification and filtering needs to be converted into a digital signal for subsequent processing by the control circuit. The analog-to-digital converter (ADC) is a key component to achieve this step. The selection of the ADC needs to take into account factors such as its resolution, sampling rate, and noise performance to ensure that the converted digital signal can accurately reflect the information of the original analog signal.

[0112] The signal processing circuit plays a connecting role in the piezoelectric sensor alarm system. The signal processing circuit can not only convert the weak electrical signal generated by the piezoelectric sensor into an easy-to-process digital signal, but also improve the quality and accuracy of the signal through steps such as amplification and filtering. This is crucial for the subsequent control circuit, because the control circuit needs to judge whether the dust concentration exceeds the standard based on these signals and trigger the corresponding alarm mechanism.

[0113] Furthermore, in this embodiment, the system further includes a communication module;

[0114] The communication module is connected to the control circuit, and is used for long-distance transmission of the data signal generated by the control circuit.

[0115] Specifically, in this embodiment, it is connected to the control circuit and is responsible for long-distance transmission of the data signal generated by the control circuit so that the user can view and process the data in real time at a place far away from the monitoring site.

[0116] The communication module uses advanced communication technologies, such as wireless communication technology or wired communication technology (such as Ethernet, RS-485, etc.), to achieve long-distance data transmission. This enables users to obtain monitoring data in real time at different geographical locations, improving the flexibility and convenience of the system. The communication module uses reliable communication protocols and data transmission mechanisms to ensure the accuracy and integrity of the data. During the data transmission process, the communication module will perform error detection and correction to avoid data loss or damage. The communication module uses encryption technology to ensure security during data transmission. This prevents data from being intercepted or tampered with by unauthorized personnel, protecting user privacy and data security.

[0117] Communication modules usually have wide compatibility and can connect and communicate with a variety of devices and systems. This enables the piezoelectric sensor alarm system to be integrated and interconnected with other environmental monitoring systems, data management systems or cloud platforms to achieve data sharing and analysis. In industrial environments such as factories and workshops, the piezoelectric sensor alarm system can transmit data to the central control room or cloud platform through the communication module, so that managers can understand the dust concentration in the production environment in real time and take appropriate measures to protect the health and safety of employees. On the construction site, the piezoelectric sensor alarm system can transmit data to the mobile phone or computer of the project manager or supervisor through the communication module, so that they can understand the dust concentration at the construction site in real time and take appropriate dust prevention measures to reduce the impact of construction on the surrounding environment. In the field of environmental monitoring, the piezoelectric sensor alarm system can transmit data to the cloud platform through the communication module, so that the dust concentration in the air can be understood in real time, and appropriate measures can be taken to improve the air quality.

[0118] Furthermore, in this embodiment, the communication module further includes a Bluetooth module and / or a WiFi module; wherein:

[0119] The Bluetooth module is connected to the control circuit, and the Bluetooth module is used to transmit data signals of the control circuit;

[0120] The WiFi module is connected to the control circuit, and the WiFi module is used to remotely control or upgrade the firmware of the control circuit.

[0121] Specifically, in this embodiment, the communication module is a key component of the piezoelectric sensor alarm system, which is responsible for realizing data transmission and communication between the system and external devices or cloud platforms. The module usually includes a Bluetooth module and / or a WiFi module to meet communication requirements in different scenarios.

[0122] The Bluetooth module is connected to the control circuit and is responsible for short-distance wireless transmission of the data signal generated by the control circuit. This transmission method has the advantages of low power consumption, low cost and easy pairing, and is suitable for short-distance data communication scenarios. The Bluetooth module can be paired and connected with other Bluetooth-enabled devices (such as smartphones, tablets, etc.) to achieve real-time transmission and sharing of data. This allows users to view dust concentration data in real time through mobile devices and take corresponding measures.

[0123] The WiFi module is connected to the control circuit and is responsible for remote wireless transmission of the data signal generated by the control circuit. This transmission method has the advantages of high speed, long distance and wide coverage, and is suitable for scenarios where data needs to be uploaded to a cloud platform or remote server.

[0124] Through the WiFi module, users can remotely control the piezoelectric sensor alarm system through remote devices such as smartphones and computers. This includes functions such as setting monitoring parameters, starting / stopping monitoring tasks, and viewing historical data, which improves the flexibility and convenience of the system. The WiFi module also supports remote firmware upgrades for the piezoelectric sensor alarm system. This means that when a new version of the system is available or a vulnerability needs to be fixed, users do not need to go to the monitoring site in person, but can complete the firmware upgrade operation through a remote device, which improves the maintenance efficiency and safety of the system.

[0125] Furthermore, in this embodiment, the system further includes an SD module; wherein:

[0126] The SD module is connected to the control circuit, and the SD module is used to store data generated by the control circuit.

[0127] Specifically, in this embodiment, the piezoelectric sensor alarm system is a comprehensive environmental monitoring solution, the core of which is to accurately and in real time monitor and process the dust concentration data in the environment. In order to achieve long-term storage and convenient access to data, the system is equipped with an SD (Secure Digital) module. The following is a detailed description of the SD module of the system:

[0128] The SD module is one of the key components of the piezoelectric sensor alarm system. It is responsible for storing the data generated by the control circuit. These data include but are not limited to real-time values ​​of dust concentration, historical data, alarm records, etc. The SD module realizes seamless storage and reading of data through connection with the control circuit. The SD module has a large storage space and can store a large amount of dust concentration data. These data can be stored in chronological order or in a specific format for subsequent data analysis and processing. The SD module uses advanced data storage technology to ensure the security and integrity of the data. During the data storage process, the SD module will perform error detection and correction to avoid data loss or damage. In addition, the SD module also supports data encryption function, which further protects the privacy and security of user data. The SD module has a standard interface and format, allowing users to easily insert the SD card into a card reader or computer to read and back up data. This convenience allows users to access and analyze monitoring data anytime and anywhere, improving data utilization and system flexibility. The SD module uses durable storage media with a long service life. This means that even in harsh environmental conditions, the SD module can maintain stable performance and data storage capabilities. Users can query past dust concentrations through historical data stored in the SD module for trend analysis and environmental assessment. To prevent data loss or damage, users can back up data in the SD module to a computer or other storage device. This allows users to recover data and continue analysis and processing even if the system fails or is damaged. In some cases, users may need to monitor offline due to unstable network or inability to connect to a remote server. At this time, the SD module can be used as a temporary data storage device to store monitoring data in the SD card and upload and analyze it after the network is restored.

[0129] In summary, the SD module plays a vital role in the piezoelectric sensor alarm system. It not only enables long-term storage and convenient access to data, but also improves data security and system flexibility. By selecting the appropriate SD module and storage strategy, users can build an efficient piezoelectric sensor alarm system based on actual needs and environmental conditions.

[0130] Further, in this embodiment, the system further includes an LCD module;

[0131] The LCD module is connected to the control circuit, and the LCD module is also used for human-computer interaction operation.

[0132] Specifically, in this embodiment, the piezoelectric sensor alarm system, as a comprehensive environmental monitoring device, is not only required to accurately and real-time monitor the dust concentration in the environment, but also needs to have a good human-computer interaction interface so that users can intuitively understand the monitoring data and perform corresponding operations. In order to achieve this goal, the system is equipped with an LCD (Liquid Crystal Display) module. The following is a detailed description of the LCD module of the system:

[0133] The LCD module is one of the key components of the piezoelectric sensor alarm system. It is responsible for connecting with the control circuit to realize human-computer interaction. Through the LCD module, users can intuitively view the real-time monitoring data, historical data, alarm information, etc. of dust concentration, and can set and control the system through buttons or other input devices. The LCD module can display the monitoring data of dust concentration in real time, including the current concentration value, maximum value, minimum value, etc. These data are usually presented in the form of numbers or charts, allowing users to intuitively understand the dust concentration in the environment. Through the LCD module, users can query past dust concentration data for trend analysis and environmental assessment. These data are usually presented in the form of a timeline, and users can view data in different time periods by scrolling or turning pages. When the dust concentration exceeds the preset threshold, the LCD module will display an alarm message to remind the user to take appropriate measures. The alarm information usually includes the alarm type (such as high concentration alarm, low concentration alarm, etc.), alarm time, current concentration value, etc. Through the buttons or other input devices on the LCD module, users can set and control the system. This includes setting monitoring parameters (such as alarm threshold, sampling frequency, etc.), starting / stopping monitoring tasks, calibrating sensors, and other operations. The LCD module provides a friendly human-computer interaction interface, allowing users to easily interact with the system. The interface design is usually concise and clear, easy to understand and operate.

[0134] Furthermore, in this embodiment, the system further includes a power supply module; wherein:

[0135] The power module is connected to the control circuit, and is used to provide electrical energy to the control circuit.

[0136] Specifically, in this embodiment, as a comprehensive environmental monitoring device, the piezoelectric sensor alarm system cannot operate stably without reliable power supply. To achieve this goal, the system is equipped with a power module. The following is a detailed description of the power module of the system:

[0137] The power module is one of the key components of the piezoelectric sensor alarm system. It is responsible for providing stable and reliable power to the control circuit. Through the power module, the system can ensure normal operation under various environmental conditions and meet the user's requirements for the accuracy and real-time nature of monitoring data. The power module can convert external input power (such as AC, DC, etc.) into the power form required by the control circuit (such as stable DC voltage). This conversion process usually involves steps such as voltage reduction, rectification, and filtering to ensure the stability and reliability of the output power. The power module can reasonably distribute power according to the needs of the control circuit. This includes providing power of different voltage levels to different circuit parts, and dynamically adjusting the power output according to the operating status of the system. In order to protect the control circuit and the power module itself from damage, the power module usually has overcurrent and overvoltage protection functions. When the input or output current and voltage exceed the preset threshold, the power module will automatically cut off the output or reduce the output power to prevent equipment damage or safety accidents such as fire. In order to extend the service life of the system and reduce energy consumption, the power module usually adopts a low-power design. This includes measures such as optimizing the circuit structure, improving conversion efficiency, and reducing standby power consumption. In order to adapt to the voltage standards of different countries and regions and the fluctuation of grid voltage, power modules usually have the ability to input a wide voltage range. This ensures that the system can operate stably under various voltage conditions.

[0138] Furthermore, in this embodiment, the alarm output circuit is also connected to an external intelligent terminal device.

[0139] In this embodiment, the alarm output circuit is not only connected to the control circuit of the system, but also connected to an external smart terminal device (such as a smart phone, tablet computer, etc.). This connection enables the system to send alarm information to the user's smart terminal device in a timely manner when abnormal dust concentration is detected, so that the user can quickly take countermeasures.

[0140] In order to realize the connection between the alarm output circuit and the external intelligent terminal device, the system adopts advanced wireless communication technologies such as Bluetooth, WiFi or mobile data network. These technologies ensure that the system can stably and quickly transmit and communicate data with the user's intelligent terminal device. When the dust concentration exceeds the preset threshold, the alarm output circuit will immediately trigger the alarm signal and send the alarm information to the user's intelligent terminal device through wireless communication technology. This information usually includes the alarm type (such as high concentration alarm, low concentration alarm, etc.), alarm time, current concentration value, and recommended countermeasures. After receiving the alarm information on the intelligent terminal device, the user can view the detailed alarm content and historical records by clicking or sliding. In addition, the user can also remotely control the system through the intelligent terminal device, such as adjusting the alarm threshold, starting / stopping the monitoring task, etc. The system will make corresponding adjustments and optimizations based on the user's feedback to provide better monitoring services. Through the connection with the external intelligent terminal device, the system can send the alarm information to the user in real time, ensuring that the user can quickly understand the dust concentration in the environment and take countermeasures. This real-time and accuracy is essential to protect the health and safety of users. Users can obtain monitoring data without going to the monitoring site in person or relying on traditional wired connections. At the same time, applications on smart terminal devices can also provide rich data analysis and visualization functions to help users better understand monitoring results and formulate corresponding measures.

[0141] In addition, to achieve the above-mentioned purpose, the embodiment of the present application also proposes a piezoelectric sensor alarm device, which includes a display, a mobile terminal device, and all the embodiments of the piezoelectric sensor alarm system described above. Compared with the prior art, the beneficial effects of the piezoelectric sensor alarm device provided by the embodiment of the present application are the same as the beneficial effects of the piezoelectric sensor alarm system provided by the above-mentioned embodiment, and the other technical features of the piezoelectric sensor alarm device are the same as the features disclosed in the above-mentioned embodiment, which will not be repeated here.

[0142] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent processing scope of the present application.

Claims

1. A piezoelectric sensor alarm system, characterized in that: The system includes a pressure detection circuit, a control circuit and an alarm output circuit; wherein: The pressure detection circuit is connected to the control circuit, is used for dust concentration detection and filter clogging detection, and generates a detection signal to be transmitted to the control circuit; The control circuit is connected to the alarm output circuit. Once the control circuit detects that the characteristic value of the detection signal exceeds a preset value, the alarm output circuit issues a voice reminder and a light alarm.

2. The piezoelectric sensor alarm system according to claim 1, characterized in that: The alarm output circuit also includes a voice module, a buzzer and an LED indicator light; wherein: The voice module is connected to the control circuit, and the voice module is used to perform a voice alarm reminder for the detection signal; The buzzer is connected to the control circuit, and is used to sound a buzzer alarm to remind the detection signal; The LED indicator light is connected to the control circuit, and is used to provide a light warning to the user through the LED.

3. The piezoelectric sensor alarm system according to claim 2, characterized in that: The system also includes a signal processing circuit; wherein: The signal processing circuit is also connected to the pressure detection circuit. The signal processing circuit amplifies and filters the collected signal, and performs analog-to-digital conversion to obtain the detection signal.

4. The piezoelectric sensor alarm system according to claim 1, characterized in that: The system also includes a communication module; The communication module is connected to the control circuit, and is used for long-distance transmission of the data signal generated by the control circuit.

5. The piezoelectric sensor alarm system according to claim 4, characterized in that: The communication module also includes a Bluetooth module and / or a WiFi module; wherein: The Bluetooth module is connected to the control circuit, and the Bluetooth module is used to transmit data signals of the control circuit; The WiFi module is connected to the control circuit, and the WiFi module is used to remotely control or upgrade the firmware of the control circuit.

6. The piezoelectric sensor alarm system according to claim 1, characterized in that: The system also includes an SD module; wherein: The SD module is connected to the control circuit, and the SD module is used to store data generated by the control circuit.

7. The piezoelectric sensor alarm system according to claim 1, characterized in that: The system also includes an LCD module; The LCD module is connected to the control circuit, and the LCD module is also used for human-computer interaction operation.

8. The piezoelectric sensor alarm system according to claim 1, characterized in that: The system also includes a power module; wherein: The power module is connected to the control circuit, and is used to provide electrical energy to the control circuit.

9. The piezoelectric sensor alarm system according to claim 1, characterized in that: The alarm output circuit is also connected to an external intelligent terminal device.

10. A piezoelectric sensor alarm device, characterized in that: The piezoelectric sensor alarm device comprises a display, a mobile terminal device and a piezoelectric sensor alarm system as described in any one of claims 1-9.

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