A cooperative control system based on sound-light linkage and flushing action
Patent Information
- Application Number
- CN202610901068.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-22
- Publication Date
- 2026-10-16
AI Technical Summary
[0005]本发明所要解决的技术问题在于针对现有紧急冲淋洗眼装置在突发事故中存在的应急响应滞后、过度依赖受损人员主动视觉寻址与手动施力触发,以及缺乏管路滞留异常流体预排空机制易引发创面二次伤害,且缺乏防流体压力突变机制易造成水压机械冲击的缺陷,提供一种基于声光联动和冲淋动作的协同控制系统
[0022] 1. This invention uses a microphone and an embedded neural network accelerator to match personnel commands with a programmable AI voice recognition module. Upon successful recognition, the output trigger level drives the relay to close, thereby activating the power supply circuit and simultaneously activating the main regulating valve and the dynamic sound and light alarm system. This avoids the tedious steps of manually searching for and turning on the equipment when workers are in contact with toxic substances and their vision is obstructed. It achieves a rapid linkage response effect that reduces the time delay of the shower equipment after an emergency and effectively improves the accuracy of emergency response operations.
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Figure CN122923587A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of personal safety protection and automated control technology, specifically to a collaborative control system based on sound and light linkage and showering action. Background Technology
[0002] Emergency shower and eyewash stations are safety emergency protection facilities in workplaces involving toxic, harmful, or corrosive chemicals. They are used to provide fluid for physical flushing when workers come into contact with hazardous chemicals, in order to dilute the concentration of harmful substances and reduce the harm to the human body.
[0003] Currently, traditional emergency shower and eyewash stations are mostly mechanically operated, fixedly installed at specific locations in the work area. The piping system is equipped with mechanical switching components such as manual push plates, pull rods, or foot pedals. In the event of an accident, the affected worker needs to move to the physical location of the shower station and apply mechanical force with their hands or feet to trigger the valve switching mechanism, opening the water supply line and starting the shower.
[0004] However, existing technologies suffer from drawbacks such as delayed emergency response and over-reliance on manual location and operation. When workers are splashed with chemicals, they may close their eyes, obstructing their vision. With impaired vision, workers struggle to accurately identify and locate the shower equipment; furthermore, requiring injured workers to precisely apply force to trigger the mechanical switch upon reaching the equipment easily leads to operational errors. In existing technologies, the shower equipment cannot actively sense and guide personnel, nor does it possess non-contact triggering mechanisms, resulting in delayed emergency response and missed optimal rinsing opportunities. Summary of the Invention
[0005] The technical problem to be solved by the present invention is to address the shortcomings of existing emergency shower and eyewash devices in sudden accidents, such as delayed emergency response, over-reliance on active visual location and manual force triggering by injured personnel, lack of pre-emptive mechanism for abnormal fluid retention in pipelines which easily leads to secondary injury to the wound, and lack of anti-fluid pressure change mechanism which easily causes mechanical impact of water pressure. The present invention provides a collaborative control system based on sound and light linkage and shower action.
[0006] This invention provides a coordinated control system based on sound and light linkage and showering action, comprising:
[0007] The main control unit, located inside the device, is used for data processing and logic control;
[0008] The microphone is located outside the device and is electrically connected to the input of the programmable AI voice recognition module;
[0009] The signal output terminal of the programmable AI voice recognition module is connected to the control terminal of the relay.
[0010] The normally open contact of the relay is connected in series in the power supply circuit of the main control unit and the subsequent actuator, and is used for isolation between the weak current on the control side and the strong current on the load side and for triggering the action.
[0011] The millimeter-wave radar module is installed on the device housing, and its data output terminal is communicatively connected to the main control unit.
[0012] A main line proportional-integral regulating valve is installed on the main water supply pipeline, and the control terminal of the main line proportional-integral regulating valve receives the regulation signal from the main control unit;
[0013] A bypass pre-drainage pipeline is connected in parallel to the front end of the main water supply pipeline. A wide temperature range fluid state sensor and a bypass servo regulating valve are installed sequentially on the bypass pre-drainage pipeline. The signal output terminal of the wide temperature range fluid state sensor is connected to the main control unit, and the control terminal of the bypass servo regulating valve is connected to the main control unit.
[0014] The dynamic sound and light alarm system consists of a directional speaker array and an LED directional light strip array, and receives the drive signal from the main control unit;
[0015] When the system is in standby mode, the microphone collects analog audio signals from the outside world. The programmable AI speech recognition module uses a single-channel noise reduction algorithm to suppress background noise and a pre-emphasis algorithm to boost high-frequency components to generate audio feature vectors. The embedded neural network accelerator built into the programmable AI speech recognition module uses a cosine similarity algorithm to calculate feature matching scores. When the feature matching score reaches a preset two-level high confidence threshold, the command is deemed to have been successfully recognized, and a trigger level is output to drive the relay to close. After the normally open contact of the relay actuates, it connects the system's high-voltage power supply circuit, achieving isolation between the low-voltage control side and the high-voltage load side, triggering the system to enter the response phase.
[0016] Once the system enters the response phase, the millimeter-wave radar module transmits frequency-modulated continuous waves. The main control unit processes the echo signal using a multipath suppression strategy, extracting the target personnel's spatial three-dimensional coordinates, travel speed, and travel acceleration. The main control unit calculates and estimates the arrival time based on a piecewise kinematic model of radial linear distance, travel speed, and travel acceleration. When the mathematical discriminant related to acceleration has no real solution, the main control unit determines that the target personnel has stopped approaching and maintains the current acoustic and optical guidance frequency.
[0017] A bypass pre-drain pipeline is connected in parallel to the front end of the main water supply pipeline. A wide-temperature-range fluid state sensor configured on the bypass pre-drain pipeline synchronously collects real-time temperature and turbidity data of the stagnant fluid. The main control unit compares the temperature and turbidity data with the upper and lower limits of the fluid temperature that the human body can tolerate, as well as the maximum permissible turbidity threshold, and performs binary mapping logic to construct a fluid readiness factor. When the temperature is within the safe closed range and the turbidity is not higher than the threshold, a valid fluid readiness factor is generated; if any data exceeds the limit, an invalid factor is generated.
[0018] The dynamic audible and visual alarm system consists of a directional speaker array and an LED directional light strip array. The main control unit calculates the phase delay of the array elements based on the spatial azimuth angle, drives the directional speaker array to synthesize a sound beam, and plans the spatial segmented lighting sequence of the LED directional light strip array to construct a physical guidance path. Regarding the modulation of the audible and visual parameters, the numerical calculation model of the guidance frequency is a mapping relationship controlled by a fluid readiness factor. When the factor is invalid, the system outputs a fixed low-frequency, temporary warning signal; when the factor is valid, the audible and visual output frequency is proportionally adjusted according to the ratio of the traveling speed to the radial straight-line distance, and a basic bias term is superimposed to maintain the minimum output in a stationary state. Simultaneously, combined with a saturation upper limit mechanism, it achieves spatially convergent guidance with adaptive frequency increments.
[0019] During the guidance process, when the factor is invalid, the main control unit continuously calculates the transient decay rate of the estimated arrival time. Based on the absolute value of the transient decay rate and a gain coefficient, the main control unit linearly amplifies the value to calculate the opening control quantity of the bypass servo regulating valve. This opening control quantity is constrained by the maximum physical opening limit. The main control unit converts the opening control quantity into a pulse width modulation signal to drive the bypass servo regulating valve to discharge unqualified fluid. When the personnel's walking speed increases, the discharge flow rate increases; when it decreases, the flow rate decreases to balance the pressure at the front end of the pipeline.
[0020] When the target personnel enter the designated physical shower boundary and the estimated arrival time approaches zero, the main control unit closes the bypass servo regulating valve and starts the main shower. The main control unit calculates the target opening of the main proportional-integral (PI) regulating valve according to the set control cycle and exponential smoothing pressure rise function. In practice, the increment of the target opening decreases exponentially with the passage of time. The main control unit drives the main PI regulating valve through an incremental PI algorithm to smoothly raise the shower water pressure to the rated working pressure. After reaching the rated opening, the main control unit extracts the static pressure deviation fed back by the main fluid pressure sensor, multiplies it by a constantly positive pressure stabilization feedback proportional coefficient to obtain the opening fine-tuning compensation, and continuously fine-tunes the main valve to maintain constant fluid pressure. After a single emergency response ends, the main control unit sends a mechanical zero-position reset command to eliminate electrical shutdown deviation, overwrites the register flag, and disconnects the relay, restoring the system to the standby monitoring phase.
[0021] The present invention, by adopting the above technical solution, can bring the following beneficial effects:
[0022] 1. This invention uses a microphone and an embedded neural network accelerator to match personnel commands with a programmable AI voice recognition module. Upon successful recognition, the output trigger level drives the relay to close, thereby activating the power supply circuit and simultaneously activating the main regulating valve and the dynamic sound and light alarm system. This avoids the tedious steps of manually searching for and turning on the equipment when workers are in contact with toxic substances and their vision is obstructed. It achieves a rapid linkage response effect that reduces the time delay of the shower equipment after an emergency and effectively improves the accuracy of emergency response operations.
[0023] 2. This invention transmits frequency-modulated continuous waves via a millimeter-wave radar module, and the main control unit processes the echo signals to extract spatial three-dimensional coordinates and velocity parameters. Simultaneously, based on a kinematic model, the arrival time is estimated, and instructions are generated according to the spatial motion parameters to adjust the directional sound beam frequency and light band flicker rhythm of the dynamic sound and light alarm system in real time. This mechanism solves the pain point of personnel being unable to confirm the location of equipment due to a lack of sense of direction in emergency situations, and achieves a dynamic guidance effect that enables precise convergence guidance of personnel in complex working environments and shortens the shower location search distance.
[0024] 3. This invention, by configuring a wide-temperature-range fluid state sensor and a bypass servo regulating valve, allows the main control unit to determine the temperature and turbidity of the stagnant fluid and output a readiness factor. During the process of guiding personnel, the valve opening is controlled according to the decay rate of the estimated arrival time, draining stagnant water that does not meet physiological thresholds before personnel reach the boundary. This achieves the technical effect of ensuring the safety of shower water quality and avoiding secondary damage to wounds caused by abnormal water bodies. At the same time, the smooth transition mechanism of the main proportional integral regulating valve, which continuously increases the opening according to an exponential smooth pressure increase function, avoids mechanical impact on personnel caused by sudden changes in water pressure and provides flexible shower protection with constant pressure. Attached Figure Description
[0025] Figure 1 This is a schematic diagram of the collaborative control system of the present invention based on sound and light linkage and showering action;
[0026] Figure 2 This is a flowchart of the audio feature extraction and non-contact triggering logic of the present invention;
[0027] Figure 3 This is a flowchart of the spatial motion calculation and dynamic acoustic-optic parameter modulation logic of the present invention;
[0028] Figure 4 This is a timing diagram for the pipeline pre-drainage and main pipeline stepped pressure boosting and flushing control of the present invention. Detailed Implementation
[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0030] Example 1
[0031] See attached document Figure 1-2 This invention provides a coordinated control system based on sound and light linkage and showering action, comprising:
[0032] The main control unit 6 is located inside the device and is used for data processing and logic control.
[0033] Microphone 1 is located outside the device and is electrically connected to the input of programmable AI voice recognition module 2;
[0034] The signal output terminal of the programmable AI voice recognition module 2 is connected to the control terminal of the relay 3;
[0035] The normally open contact of relay 3 is connected in series in the power supply circuit of main control unit 6 and subsequent actuator for high-voltage isolation and action triggering;
[0036] The millimeter-wave radar module 7 is installed on the upper housing of the device, and its data output terminal is connected to the main control unit 6 for communication.
[0037] A main line proportional-integral regulating valve 4 is installed on the main water supply pipeline. The control terminal of the main line proportional-integral regulating valve 4 receives the regulation signal from the main control unit 6.
[0038] The bypass pre-drain pipeline is connected in parallel to the front end of the main water supply pipeline. A wide temperature range fluid state sensor 8 and a bypass servo regulating valve 9 are installed sequentially on the bypass pre-drain pipeline. The signal output terminal of the wide temperature range fluid state sensor 8 is connected to the main control unit 6, and the control terminal of the bypass servo regulating valve 9 is connected to the main control unit 6.
[0039] The dynamic sound and light alarm system 5 consists of a directional speaker array and an LED directional light strip array, and receives the drive signal from the main control unit 6;
[0040] In the system standby state, microphone 1 continuously collects external audio signals and transmits them to programmable AI voice recognition module 2. Programmable AI voice recognition module 2 extracts audio features and matches them with built-in emergency safety command words.
[0041] When a voice command matching the preset characteristics is recognized, the programmable AI voice recognition module 2 outputs a trigger level to the relay 3, the relay 3 closes, and the power supply circuit of the main control unit 6, the millimeter-wave radar module 7 and the dynamic sound and light alarm system 5 is connected, and the system enters the response state.
[0042] The millimeter-wave radar module 7 is activated and transmits frequency-modulated continuous waves to the area. The main control unit 6 processes the received echo signals and extracts the spatial three-dimensional coordinates, speed, and acceleration of the target personnel. Based on a constant acceleration kinematics model and the radial linear physical distance between the target personnel and the millimeter-wave radar module 7, the main control unit 6 calculates the estimated arrival time.
[0043] In the synchronous operation state of radar detection, the wide temperature range fluid state sensor 8 collects the temperature and turbidity data of the fluid remaining in the bypass pre-drain pipeline and transmits it back to the main control unit 6. The main control unit 6 determines whether the temperature and turbidity data are within the preset safe physiological threshold range. When it is determined that the fluid meets the safe physiological threshold range, the fluid readiness factor is output as 1. When it is determined that the fluid exceeds the safe physiological threshold range, the fluid readiness factor is output as 0.
[0044] The main control unit 6 generates drive commands based on the calculated spatial motion parameters and fluid readiness factor to adjust the directional sound beam frequency and light band flicker rhythm of the dynamic sound and light alarm system 5, and performs directional guidance or spatial suspension warning prompts for the target personnel.
[0045] During the guidance process, the main control unit 6 determines the arrival time based on the estimated arrival time. The opening of the bypass servo regulating valve 9 is adjusted in real time according to the decay rate to discharge stagnant fluid that does not meet safety standards.
[0046] When the spatial coordinates of the target personnel enter the set physical shower boundary threshold range, and the estimated arrival time... When the value approaches zero, the main control unit 6 outputs a control signal to close the bypass servo regulating valve 9;
[0047] Subsequently, the main control unit 6 sends a step-up pressure control command to the main proportional-integral regulating valve 4. The opening of the main proportional-integral regulating valve 4 increases continuously according to the preset exponential smooth pressure increase function, controlling the shower fluid pressure to rise smoothly to the rated working pressure, and completing the step-up shower start.
[0048] Furthermore, the implementation of the above system may include the following steps:
[0049] Step S100: The microphone 1 continuously collects external audio signals from the working environment and transmits them to the programmable AI voice recognition module 2. The programmable AI voice recognition module 2 extracts features from the external audio signals and matches them with built-in emergency safety command words. When the match is successful, the programmable AI voice recognition module 2 outputs a trigger level to the relay 3. The normally open contact of the relay 3 closes, connecting the power supply circuit of the main control unit 6, the millimeter-wave radar module 7, and the dynamic sound and light alarm system 5, triggering the system to enter the response state.
[0050] In step S200, the millimeter-wave radar module 7 is activated and transmits frequency-modulated continuous waves outward. It receives the echo signal reflected by the target personnel and transmits it to the main control unit 6. The main control unit 6 processes the echo signal, extracts the spatial three-dimensional coordinates, travel speed and travel acceleration of the target personnel, and calculates the estimated arrival time based on the constant acceleration kinematic model.
[0051] In step S300, the wide-temperature-range fluid state sensor 8 collects the temperature and turbidity data of the fluid remaining inside the bypass pre-drainage pipeline in real time, and transmits the temperature and turbidity data back to the main control unit 6. The main control unit 6 determines whether the temperature and turbidity data are within the preset safe physiological threshold range. When the temperature and turbidity data are within the preset safe physiological threshold range, the main control unit 6 outputs a fluid readiness factor of 1; when the temperature or turbidity data exceeds the preset safe physiological threshold range, the main control unit 6 outputs a fluid readiness factor of 0.
[0052] In step S400, the main control unit 6 generates a first drive command based on the estimated arrival time and the fluid readiness factor and sends it to the dynamic audible and visual alarm system 5. When the fluid readiness factor is 0, the first drive command controls the dynamic audible and visual alarm system 5 to output a low-frequency pause waiting signal. When the fluid readiness factor is 1, the first drive command controls the dynamic audible and visual alarm system 5 to output a spatial convergence guidance signal, and the frequency of the spatial convergence guidance signal adaptively increases as the estimated arrival time decreases.
[0053] In step S500, the main control unit 6 calculates the decay rate of the estimated arrival time and generates a second drive command based on the decay rate and the preset adjustment gain coefficient, which is then sent to the bypass servo regulating valve 9. The bypass servo regulating valve 9 receives the second drive command and adjusts the opening to discharge the stagnant fluid inside the bypass pre-emptive pipeline.
[0054] In step S600, the main control unit 6 continuously judges the spatial three-dimensional coordinates of the target personnel. When the spatial three-dimensional coordinates of the target personnel enter the set physical shower boundary threshold range and the estimated arrival time approaches zero, the main control unit 6 controls the bypass servo regulating valve 9 to close. The main control unit 6 sends a step-up pressure control command to the main proportional-integral regulating valve 4. The main proportional-integral regulating valve 4 receives the step-up pressure control command and the opening of the main proportional-integral regulating valve 4 increases continuously according to the preset exponential smooth pressure increase function, controlling the shower fluid pressure to rise smoothly to the rated working pressure.
[0055] In step S700, after the preset shower time is reached, the main control unit 6 controls the main proportional-integral regulating valve 4 to close and controls the relay 3 to disconnect, and the system is reset to standby state.
[0056] Example 2
[0057] See attached document Figure 3-4 Based on Embodiment 1, in step S100, the above system includes the following steps in the audio acquisition and preprocessing process:
[0058] Step S101: The microphone 1 is placed in an environment with toxic and harmful properties. The microphone 1 continuously collects external analog audio signals in the working environment and transmits the external analog audio signals to the programmable AI voice recognition module 2.
[0059] Step S102: The programmable AI voice recognition module 2 converts the external analog audio signal into a discrete digital audio signal through the built-in analog-to-digital conversion circuit. At the same time, the programmable AI voice recognition module 2 uses single-channel noise reduction algorithms such as spectral subtraction or Wiener filtering to suppress steady-state background noise, completes the deep noise reduction and echo cancellation processing of the discrete digital audio signal, and obtains the noise-reduced discrete digital audio signal.
[0060] Step S103: The programmable AI speech recognition module 2 performs time-domain frame-segmentation processing on the noise-reduced discrete digital audio signal, and multiplies the framed signal by a Hamming window function to perform windowing processing to reduce signal spectrum leakage. At the same time, the programmable AI speech recognition module 2 uses a pre-emphasis algorithm to perform pre-emphasis processing on the windowed signal to enhance the high-frequency components of the signal.
[0061] Step S104: The programmable AI speech recognition module 2 performs a fast Fourier transform on the pre-emphasized discrete-time signal to convert the time-domain signal into a frequency-domain signal. Then, the programmable AI speech recognition module 2 calculates the power spectrum of the frequency-domain signal and maps the power spectrum to a Mel-scale filter bank. The programmable AI speech recognition module 2 takes the logarithm of the output of the Mel-scale filter bank and performs a discrete cosine transform to generate an audio feature vector. The programmable AI speech recognition module 2 transmits the audio feature vector to the internal embedded neural network accelerator to perform subsequent feature matching calculations.
[0062] Furthermore, in step S100, the feature matching and trigger control process in the above system includes the following steps:
[0063] Step S105: The programmable AI speech recognition module 2 is internally configured with an embedded neural network accelerator 21 and a non-volatile memory 22. The non-volatile memory 22 is pre-written with wake-up word feature vectors and security emergency command word feature vectors. The embedded neural network accelerator 21 receives the audio feature vectors generated in the preprocessing stage.
[0064] Step S106: The embedded neural network accelerator 21 first performs a first-level numerical similarity calculation between the audio feature vector and the wake-up word feature vector extracted from the non-volatile memory 22. When the result of the first-level numerical similarity calculation determines that the wake-up is successful, the embedded neural network accelerator 21 performs a second-level numerical similarity calculation between the subsequently received audio feature vector and the security emergency command word feature vector extracted from the non-volatile memory 22.
[0065] Step S107: The embedded neural network accelerator 21 uses a cosine similarity algorithm to calculate the feature matching score between the wake-up word feature vector or the safety emergency command word feature vector and the audio feature vector; the embedded neural network accelerator 21 compares the feature matching score with the preset two-level high confidence judgment thresholds (corresponding to the wake-up word judgment threshold and the command word judgment threshold, respectively, to strictly prevent false triggering and missed triggering in industrial noise environment). When the feature matching score is greater than or equal to its corresponding preset judgment threshold, the embedded neural network accelerator 21 determines that the voice command recognition is successful.
[0066] In step S108, the embedded neural network accelerator 21 generates a digital trigger command and transmits it to the interface output of the programmable AI voice recognition module 2. The interface output of the programmable AI voice recognition module 2 converts the digital trigger command into a DC trigger level and outputs the DC trigger level to the control terminal of the relay 3. The control terminal of the relay 3 receives the DC trigger level, and the electromagnetic coil inside the relay 3 is energized to generate a magnetic field, which drives the normally open contact of the relay 3 to close. The normally open contact of the relay 3 connects the power supply circuit of the main control unit 6, the millimeter-wave radar module 7, and the dynamic sound and light alarm system 5, triggering the system to enter the response state.
[0067] Furthermore, in step S100, the relay linkage and high-voltage activation process in the above system includes the following steps:
[0068] Step S109: The interface output terminal of the programmable AI voice recognition module 2 outputs a DC trigger level to the control terminal of the relay 3. The relay 3 responds to the DC trigger level and connects the external main power supply to the power supply bus on the system load side, thereby achieving isolation between the weak current on the control side and the strong current on the load side.
[0069] In step S110, the external main power supply transmits power to the power supply branch containing the main control unit 6, millimeter-wave radar module 7, dynamic audible and visual alarm system 5, main proportional-integral regulating valve 4, and bypass servo regulating valve 9 via the system load-side power supply bus.
[0070] Step S111: The main control unit 6 is powered on and performs hardware initialization. The main control unit 6 establishes a data communication link with the millimeter-wave radar module 7, the dynamic sound and light alarm system 5, and the wide temperature range fluid state sensor 8. The millimeter-wave radar module 7 is powered on and starts up, transmitting detection electromagnetic waves to the external working space.
[0071] In step S112, the servo drive circuits of the main proportional-integral control valve 4 and the bypass servo control valve 9 acquire the power supplied by the power supply bus on the system load side and are powered on synchronously. The main proportional-integral control valve 4 and the bypass servo control valve 9 enter the controlled ready state. The main control unit 6, millimeter-wave radar module 7, dynamic audible and visual alarm system 5, main proportional-integral control valve 4 and bypass servo control valve 9 included on the system load side complete hardware activation, and the system enters the emergency collaborative control response stage from the standby monitoring stage.
[0072] Furthermore, in step S200, the millimeter-wave radar spatial data acquisition and processing flow in the above system includes the following steps:
[0073] Step S201: After the millimeter-wave radar module 7 is powered on, the main control unit 6 sends a trigger command to the millimeter-wave radar module 7. The millimeter-wave radar module 7 receives the trigger command and transmits a frequency-modulated continuous wave to the external work space. The millimeter-wave radar module 7 receives the echo signal reflected by the target personnel in the external work space. The millimeter-wave radar module 7 mixes the received echo signal with the transmitted signal inside the millimeter-wave radar module 7 and outputs a difference frequency intermediate frequency signal.
[0074] Step S202: The main control unit 6 receives the difference frequency intermediate frequency signal output by the millimeter-wave radar module 7. The main control unit 6 performs a fast Fourier transform on the difference frequency intermediate frequency signal to extract the delay data, Doppler frequency shift data, and phase difference data of the target personnel echo signal. The main control unit 6 uses a discrete Kalman filter algorithm combined with a multipath effect suppression strategy to filter and estimate the delay data, Doppler frequency shift data, and phase difference data to filter out metal pipe reflections and dust interference in the industrial site. The main control unit 6 continuously acquires the spatial three-dimensional coordinates of the target personnel. Based on the continuously acquired spatial three-dimensional coordinates, the main control unit 6 performs Euclidean geometric calculations to obtain the radial straight-line distance of the target personnel relative to the millimeter-wave radar module 7. The main control unit 6 performs a time-differential operation on the continuously acquired spatial three-dimensional coordinates to extract the traveling speed and traveling acceleration of the target personnel towards the millimeter-wave radar module 7.
[0075] Step S203: The main control unit 6, based on a one-dimensional kinematic model, calculates the estimated arrival time based on the extracted radial straight-line distance, traveling speed, and traveling acceleration. The estimated arrival time is calculated using a piecewise function, and the calculation formula is as follows:
[0076]
[0077] In the formula, To estimate arrival time, Radial straight-line distance, For travel speed, It is the acceleration of movement;
[0078] In this embodiment, the estimated arrival time is calculated solely based on radial distance, and the three-dimensional coordinate data is used to determine the radial vector direction of the target relative to the device. Furthermore, if the values within the square root are calculated during the process... If no real solution is found, the main control unit 6 determines that the target personnel have stopped approaching, and the system maintains the current audio-visual guidance frequency. Subsequently, the main control unit 6 writes the calculated radial straight-line distance and estimated arrival time into the buffer register inside the main control unit 6 as input parameters to trigger subsequent fluid scheduling control and audio-visual output modulation.
[0079] Furthermore, in step S300, the bypass sensor configuration and physicochemical parameter acquisition process in the above system includes the following steps:
[0080] Step S301: The bypass pre-drainage pipeline is connected in parallel to the inlet side of the main proportional-integral regulating valve 4 in the main water supply pipeline. The pre-drainage action of the bypass can synchronously replace the common stagnant fluid at the front end of the main water supply pipeline to ensure the fluid quality when the main pipeline is opened later. The wide temperature range fluid state sensor 8 is installed on the pipe wall of the bypass pre-drainage pipeline through mechanical threads. The detection end face of the wide temperature range fluid state sensor 8 penetrates the pipe wall of the bypass pre-drainage pipeline, and the detection end face of the wide temperature range fluid state sensor 8 is in physical contact with the stagnant fluid inside the bypass pre-drainage pipeline. The wide temperature range fluid state sensor 8 integrates a thermal resistance measurement unit 81, an optical scattering measurement unit 82, a signal conditioning circuit 83, and an analog-to-digital conversion chip 84. After the relay 3 closes and conducts the power supply bus on the load side of the system, the main control unit 6 sends a start acquisition command to the wide temperature range fluid state sensor 8.
[0081] Step S302: The wide temperature range fluid state sensor 8 receives the start acquisition command, and the thermal resistance measurement unit 81 and the optical scattering measurement unit 82 enter the working state synchronously. The temperature measuring resistance wire of the thermal resistance measurement unit 81 exchanges heat with the stagnant fluid inside the bypass pre-emptied pipeline. The resistance value of the thermal resistance measurement unit 81 shifts with the heat change of the stagnant fluid. The Wheatstone bridge circuit inside the thermal resistance measurement unit 81 outputs the analog voltage parameter corresponding to the real-time temperature of the stagnant fluid.
[0082] Step S303: The optical scattering measurement unit 82 includes a light-emitting diode 821 and a photodetector 822. The light-emitting diode 821 emits a detection beam of fixed wavelength into the stagnant fluid inside the bypass pre-drainage pipeline. When the detection beam passes through the stagnant fluid, it undergoes optical scattering with the suspended particles inside the stagnant fluid. The photodetector 822 receives the scattered light distributed at a 90-degree angle and outputs the photocurrent parameter corresponding to the real-time turbidity of the stagnant fluid.
[0083] Step S304: The signal conditioning circuit 83 inside the wide-temperature-range fluid state sensor 8 amplifies and filters the analog voltage and photocurrent parameters. The analog-to-digital converter chip 84 inside the wide-temperature-range fluid state sensor 8 discretizes and samples the processed analog voltage and photocurrent parameters to generate digital voltage and digital current values. The microprocessor core inside the wide-temperature-range fluid state sensor 8 calculates the real-time temperature and real-time turbidity values based on the digital voltage and digital current values. The calculation formula is as follows:
[0084]
[0085]
[0086] In the formula, This is a real-time temperature value. The digital voltage output of the analog-to-digital converter chip 84. This is the temperature conversion proportionality coefficient. This is the temperature reference offset; This is a real-time turbidity value. The digital value of the current output by the analog-to-digital converter chip 84. This is the turbidity conversion ratio coefficient. As the turbidity reference offset, the wide temperature range fluid state sensor 8 continuously transmits digital signal data packets containing real-time temperature and real-time turbidity values back to the main control unit 6 via the digital communication bus.
[0087] In step S305, the main control unit 6 receives the digital signal data packet, extracts the real-time temperature value and real-time turbidity value of the stagnant fluid, and stores the real-time temperature value and real-time turbidity value into the data buffer register inside the main control unit 6 for the main control unit 6 to call and execute the subsequent fluid readiness determination calculation.
[0088] Furthermore, in step S300, the control function construction for the fluid readiness factor and the method for evaluating the fluid readiness state in the above system include:
[0089] Step S306: The main control unit 6 calls the real-time temperature value and real-time turbidity value stored in the data buffer register inside the main control unit 6. The non-volatile memory inside the main control unit 6 is pre-programmed with fluid safety physiological threshold parameters, including the lower limit of the human body's tolerance fluid temperature, the upper limit of the human body's tolerance fluid temperature, and the maximum allowable turbidity threshold. The main control unit 6 executes a comparison instruction to compare the real-time temperature value with the lower limit of the human body's tolerance fluid temperature and the upper limit of the human body's tolerance fluid temperature, respectively, and determines whether the real-time temperature value is within the closed interval between the lower limit of the human body's tolerance fluid temperature and the upper limit of the human body's tolerance fluid temperature.
[0090] Step S307: The main control unit 6 executes a comparison instruction to compare the real-time turbidity value with the maximum permissible turbidity threshold, determining whether the real-time turbidity value is less than or equal to the maximum permissible turbidity threshold. Based on the logical result of the above numerical comparison, the main control unit 6 executes binarization mapping logic to construct the fluid readiness factor. The formula for calculating the fluid readiness factor is:
[0091]
[0092] In the formula, For fluid readiness factor, This is a real-time temperature value. This represents the lower limit of the fluid temperature that the human body can tolerate. This represents the upper limit of the fluid temperature that the human body can tolerate. This is a real-time turbidity value. The maximum permissible turbidity threshold;
[0093] When the main control unit 6 calculates the fluid readiness factor to be 1, the main control unit 6 determines that the stagnant fluid inside the bypass pre-drain pipeline meets the physical rinsing requirements and the stagnant fluid is in a ready state. When the main control unit 6 calculates the fluid readiness factor to be 0, the main control unit 6 determines that the stagnant fluid inside the bypass pre-drain pipeline has an abnormal temperature or excessive impurities and the stagnant fluid is in a not-ready state.
[0094] In step S308, the main control unit 6 writes the generated fluid readiness factor into the system status flag register of the main control unit 6, instructing the main control unit 6 to subsequently execute the reverse modulation command of the directional acoustic and optical guidance parameters and the linkage control command of the main proportional-integral regulating valve 4 according to the flag status of the system status flag register.
[0095] Further, in step S400, the beamforming and guiding method of the dynamic audio-visual alarm system in the above system includes:
[0096] Step S401: The dynamic sound and light alarm system 5 includes a directional speaker array 51 and an LED directional light strip array 52. The main control unit 6 calls the spatial three-dimensional coordinates of the target person stored in the internal cache register of the main control unit 6. The main control unit 6 calculates the spatial azimuth angle of the target person relative to the directional speaker array 51 based on the spatial three-dimensional coordinates of the target person and the fixed installation physical coordinates of the directional speaker array 51.
[0097] In step S402, the main control unit 6 calculates the phase delay of the transmitted signal of each radiating element in the directional loudspeaker array 51 based on the spatial azimuth angle. The phase delay of the transmitted signal is calculated using a one-dimensional linear array approximation model, and the calculation formula is as follows:
[0098]
[0099] In the formula, For the first The phase delay of the transmitted signal of each radiation element The center frequency of the sound waves emitted by the directional loudspeaker array 51. The speed of sound in the environment. For the first The physical spacing between each radiation element and the reference element The horizontal yaw angle of the target personnel relative to the directional speaker array 51. A positive integer representing the array element number;
[0100] In step S403, the main control unit 6 generates an audio drive electrical signal containing the phase delay of the transmitted signal and sends the audio drive electrical signal to the directional loudspeaker array 51. Each radiating element inside the directional loudspeaker array 51 receives the audio drive electrical signal and sequentially excites sound wave signals according to the corresponding phase delay of the transmitted signal. The sound wave signals excited by each radiating element interfere and superimpose in the physical space to synthesize a dynamic sound beam with a directional sound power level configured to be higher than the industrial background noise. The main lobe of the dynamic sound beam projects the energy of the target personnel into the three-dimensional coordinates of the space.
[0101] In step S404, the main control unit 6 synchronously calculates and plans the ground plane projection trajectory connecting the target personnel to the main road proportional-integral control valve 4 based on the spatial three-dimensional coordinates of the target personnel and the fixed spatial coordinates of the main road proportional-integral control valve 4. The main control unit 6 extracts the physical number of the LED directional light strip array 52 within the area covered by the ground plane projection trajectory, and generates a spatial segmented lighting sequence according to the direction from the position of the target personnel to the position of the main road proportional-integral control valve 4.
[0102] In step S405, the main control unit 6 generates a light strip driving electrical signal containing the spatial segmented lighting sequence and sends the light strip driving electrical signal to the LED directional light strip array 52. The LED directional light strip array 52 receives the light strip driving electrical signal and illuminates the LED directional light strip array 52 in physical space according to the spatial segmented lighting sequence. Within the visibility range or the strong light perception threshold in the closed-eye state, a physical light strip guiding path is formed along the location of the target person and tends to the location of the main road proportional-integral regulating valve 4.
[0103] Further, in step S400, the dynamic modulation method for the audible and visual alarm parameters in the above system includes:
[0104] Step S406: The main control unit 6 reads the fluid readiness factor in the internal system status flag register of the main control unit 6, and the main control unit 6 synchronously reads the radial straight distance and travel speed of the target personnel extracted from the internal buffer register of the main control unit 6.
[0105] In step S407, the main control unit 6 calculates the pulse control frequency of the directional sound beam and the visual flicker frequency of the LED directional light strip array 52 based on the fluid readiness factor, radial linear distance, and travel speed. The pulse control frequency and the visual flicker frequency are calculated using a mapping formula with a saturation upper limit. The calculation formula is as follows:
[0106]
[0107]
[0108] In the formula, The pulse control frequency for the directional sound beam. The visual flicker frequency of the LED directional light strip array 52. For fluid readiness factor, For travel speed, Radial straight-line distance, This is the gain coefficient for audio pulse control. For the gain coefficient of optical band flicker control, ( and All are dimensionless adjustment proportional coefficients, due to speed With distance ratio The dimensions have been naturally matched to those of the frequency. ), Based on the basic audio frequency offset term Basic flicker offset (used to ensure that when personnel stop moving) At that time, the pilot signal still maintains the lowest output frequency. The preset upper limit of the pulse control frequency. This is the preset upper limit of the visual flicker frequency. The preset frequency for the temporary warning sound. The preset frequency for pausing the warning flashing is... The function is for finding the minimum value;
[0109] When the fluid readiness factor is equal to 0, the main control unit 6 sets the pulse control frequency to a fixed temporary warning sound frequency and the visual effect flashing frequency to a fixed temporary warning flashing frequency according to the above calculation formula.
[0110] In step S408, the main control unit 6 generates an audio drive signal containing the frequency of the pause warning sound and sends it to the directional speaker array 51, and generates a light strip drive signal containing the flashing frequency of the pause warning and sends it to the LED directional light strip array 52. The directional speaker array 51 and the LED directional light strip array 52 output fixed frequency audio and light signals in physical space to pause and wait for the target personnel's walking rhythm, and inform the personnel not to shower for the time being, as the equipment is in the process of pre-draining. When the fluid readiness factor is equal to 1, the main control unit 6 calculates the values of the pulse control frequency and the visual flashing frequency in real time based on the ratio of the walking speed to the radial straight distance.
[0111] In step S409, the main control unit 6 writes the calculated pulse control frequency into the audio drive electrical signal and sends it to the directional speaker array 51, and writes the calculated visual effect strobe frequency into the light strip drive electrical signal and sends it to the LED directional light strip array 52. The directional speaker array 51 and the LED directional light strip array 52 output audio-visual signals with varying frequencies in physical space. Under the condition that the radial straight distance decreases or the traveling speed increases, the frequency of the output audio-visual signals is increased to provide spatial convergence guidance prompts to the target personnel. When the radial straight distance decreases to within the set physical shower boundary threshold, the main control unit 6 determines that the personnel are in place, stops outputting dynamic audio-visual guidance signals, and switches to the shower start process.
[0112] Furthermore, in step S500, the dynamic adaptive pre-emptive method for the bypass servo regulating valve in the above system includes:
[0113] Step S501: The main control unit 6 reads the fluid readiness factor in the system status flag register inside the main control unit 6. When the fluid readiness factor is equal to 0, the main control unit 6 determines that there is stagnant fluid in the bypass pre-drain pipeline that has not reached the physiological safety threshold. The main control unit 6 triggers and executes the dynamic adaptive pre-drain control program. When the fluid readiness factor is equal to 1, the main control unit 6 determines that the stagnant fluid in the bypass pre-drain pipeline meets the physiological safety threshold. The main control unit 6 keeps the bypass servo regulating valve 9 in the closed state.
[0114] Step S502: The main control unit 6 continuously reads the estimated arrival time series data from its internal buffer register according to a preset sampling period. The main control unit 6 uses a backward differential algorithm to calculate the transient decay rate of the estimated arrival time. The discrete-time calculation formula for the transient decay rate of the estimated arrival time is as follows:
[0115]
[0116] In the formula, For the first The estimated arrival time transient decay rate for each sampling period (normalized to a dimensionless parameter). For the first The estimated arrival time for each sampling period, For the first The estimated arrival time for each sampling period, The preset sampling period time interval, A positive integer representing the sampling period;
[0117] Step S503: The main control unit 6 obtains the absolute value of the estimated arrival time transient decay rate and calculates the opening control quantity of the bypass servo regulating valve 9 in conjunction with the saturation upper limit anti-overflow algorithm. The calculation formula for the opening control quantity is as follows:
[0118]
[0119] In the formula, For the first The opening control quantity for each sampling period, The estimated arrival time transient decay rate for the nth sampling period. This is the preset adjustment gain coefficient, and its unit is the percentage valve opening (%). The maximum physical opening limit of the preset bypass servo control valve 9 is... The function is for finding the minimum value;
[0120] Step S504: The main control unit 6 converts the opening control quantity into a corresponding pulse width modulation duty cycle signal. The duty cycle value of the pulse width modulation duty cycle signal is linearly proportional to the opening control quantity. The main control unit 6 sends the pulse width modulation duty cycle signal to the servo drive circuit of the bypass servo regulating valve 9. The servo drive circuit of the bypass servo regulating valve 9 receives the pulse width modulation duty cycle signal and drives the actuator motor inside the bypass servo regulating valve 9 according to the value of the pulse width modulation duty cycle signal. The actuator motor inside the bypass servo regulating valve 9 drives the valve core inside the bypass servo regulating valve 9 to move, so that the valve opening of the bypass servo regulating valve 9 reaches the position corresponding to the opening control quantity, and discharges the stagnant fluid inside the bypass pre-drainage pipeline.
[0121] In step S505, the main control unit 6 repeatedly executes steps S502 to S504 during the fluid purging stage. When the target person's walking speed increases, causing the absolute value of the estimated arrival time transient decay rate to increase, the main control unit 6 increases the value of the pulse width modulation duty cycle signal according to the calculation formula, driving the valve opening of the bypass servo regulating valve 9 to increase the discharge flow of the stagnant fluid. When the target person's walking speed decreases, causing the absolute value of the estimated arrival time transient decay rate to decrease, the main control unit 6 decreases the value of the pulse width modulation duty cycle signal according to the calculation formula, driving the valve opening of the bypass servo regulating valve 9 to decrease the discharge flow of the stagnant fluid, balancing the pressure in the front section of the pipeline, and avoiding pressure surges when the main valve is opened later.
[0122] Further, in step S600, the timing-step boost control method for the main circuit proportional-integral regulating valve in the above system includes:
[0123] Step S601: The main control unit 6 continuously reads the radial straight distance and estimated arrival time in the internal cache register of the main control unit 6. The main control unit 6 compares the radial straight distance with the preset physical shower boundary threshold and compares the estimated arrival time with the preset arrival time threshold. When the radial straight distance is less than or equal to the physical shower boundary threshold and the estimated arrival time is less than or equal to the arrival time threshold, the main control unit 6 determines that the target personnel have entered the effective shower physical area.
[0124] Step S602: The main control unit 6 generates a closing command and sends the closing command to the servo drive circuit of the bypass servo regulating valve 9. The servo drive circuit of the bypass servo regulating valve 9 receives the closing command and controls the valve opening of the bypass servo regulating valve 9 to return to zero. The bypass pre-drain pipeline stops the draining action. The main control unit 6 records the current system running time through its internal clock module and uses the current system running time as the initial touch time.
[0125] Step S603: The main control unit 6 calculates the target valve opening for the current control cycle according to the preset control cycle and the exponential smooth boost function stored in the system. The formula for calculating the target valve opening is: In the formula, For the first The target valve opening degree for each control cycle The preset initial seepage opening, The preset rated operating opening, For the first The current running time of each control cycle. The initial contact time, The time constant for smoothing fluid pressure adjustment. A positive integer representing the control cycle;
[0126] Step S604: The main control unit 6 obtains the actual valve opening degree fed back by the position sensor 41 inside the main proportional-integral control valve 4, and the main control unit 6 calculates the... The main control unit 6 uses an incremental proportional-integral control algorithm to calculate the valve position control increment of the main proportional-integral regulating valve 4, based on the deviation between the target valve opening and the actual valve opening for each control cycle. The discrete calculation formula for the valve position control increment is as follows:
[0127]
[0128] In the formula, For the first Valve position control increment per control cycle This is the proportional gain coefficient. This is the integral gain coefficient. For the first The opening deviation value for each control cycle. For the first The opening deviation value for each control cycle. A positive integer representing the control cycle;
[0129] Step S605, the main control unit 6 will... The valve position control increment of the first control cycle and the first control cycle The absolute valve position control values of each control cycle are summed to obtain the value of the first control cycle. The absolute valve position control quantity of the first control cycle, the main control unit 6 will... The absolute valve position control quantity of each control cycle is converted into a standard analog control signal and sent to the control terminal of the main proportional-integral control valve 4. The main proportional-integral control valve 4 receives the standard analog control signal and the actuator 42 inside the main proportional-integral control valve 4 drives the valve action of the main proportional-integral control valve 4.
[0130] In step S606, the main control unit 6 executes steps S603 to S605 in a loop. The actual valve opening of the main proportional-integral regulating valve 4 increases continuously as the control cycle progresses. The pressure of the shower fluid inside the main water supply pipeline gradually rises from the initial seepage pressure. The actual valve opening of the main proportional-integral regulating valve 4 reaches the rated working opening, the shower fluid pressure rises to the rated working pressure, and the main water supply pipeline outputs a constant pressure shower water flow to the target personnel, thus completing the time-sequential step pressure increase control of the main proportional-integral regulating valve 4.
[0131] Further, in step S700, the method for maintaining the rated pressure shower steady state in the above system includes:
[0132] Step S701: After the main control unit 6 determines that the actual valve opening of the main proportional integral regulating valve 4 has reached the preset rated working opening, the timer module 61 inside the main control unit 6 starts the steady-state shower timing.
[0133] Step S702: The main fluid pressure sensor 10 installed on the main water supply pipeline continuously collects the real-time fluid static pressure value inside the main water supply pipeline, and the main fluid pressure sensor 10 sends the real-time fluid static pressure value to the main control unit 6 through the signal transmission line.
[0134] In step S703, the main control unit 6 compares the real-time fluid static pressure value with the preset rated working pressure value and calculates the fluid static pressure deviation. Based on the fluid static pressure deviation, the main control unit 6 calculates the opening fine-tuning compensation amount of the main circuit proportional-integral regulating valve 4. The calculation formula for the opening fine-tuning compensation amount is as follows:
[0135]
[0136] In the formula, For fine-tuning compensation of opening degree, The steady-state voltage regulation feedback proportional coefficient is a constant positive number. The preset rated working pressure value. This represents the real-time hydrostatic pressure value.
[0137] In step S704, the main control unit 6 performs an algebraic addition operation on the rated working opening and the opening fine-tuning compensation amount to calculate the steady-state target opening value of the main line proportional-integral control valve 4. The digital-to-analog conversion circuit inside the main control unit 6 converts the steady-state target opening value into a standard analog voltage signal and sends the standard analog voltage signal to the actuator 42 inside the main line proportional-integral control valve 4. The actuator 42 inside the main line proportional-integral control valve 4 drives the valve core of the main line proportional-integral control valve 4 to generate displacement according to the standard analog voltage signal, fine-tuning the actual valve opening of the main line proportional-integral control valve 4 to maintain the constant pressure of the fluid output to the target personnel in the main water supply pipeline.
[0138] In step S705, the main control unit 6 continuously reads the steady-state shower timing value of the timer module 61. When the steady-state shower timing value is less than the preset emergency response time period, the main control unit 6 executes steps S702 to S704 in a loop. When the steady-state shower timing value is greater than or equal to the preset emergency response time period, the main control unit 6 determines that the single emergency shower task is completed. The main control unit 6 generates a zero-close command and sends the zero-close command to the actuator 42 inside the main proportional-integral regulating valve 4 to control the main proportional-integral regulating valve 4 to close completely. The system recovers from the emergency coordinated control response stage to the standby monitoring stage.
[0139] Further, in step S700, the system timing reset and re-monitoring recovery method in the above system includes:
[0140] Step S706: The main control unit 6 reads the current actual valve deflection angle fed back by the position sensor 41 inside the main proportional-integral control valve 4. Based on the current actual valve deflection angle and the preset return angular velocity of the actuator motor, the main control unit 6 calculates the time delay required for the main proportional-integral control valve 4 to reset. The formula for calculating the time delay is as follows:
[0141]
[0142] In the formula, This is the amount of time delay. This refers to the absolute deflection angle by which the valve (taking an angular stroke valve as an example) recovers from its current opening to its mechanical zero position. To calculate the return angular velocity of the motor (if a linear valve is selected, the above angle parameter is proportionally replaced by linear displacement and linear motion speed for calculation), This is the safety margin constant for the mechanical system;
[0143] In step S707, the main control unit 6 synchronously sends a mechanical zero-position reset command to the actuator 42 inside the main proportional-integral control valve 4 and the servo drive circuit of the bypass servo control valve 9. The actuator 42 inside the main proportional-integral control valve 4 and the servo drive circuit of the bypass servo control valve 9 drive the valve cores of the main proportional-integral control valve 4 and the bypass servo control valve 9 to move until the valve opening of the main proportional-integral control valve 4 and the bypass servo control valve 9 reaches the physical mechanical zero position, so as to eliminate the mechanical margin deviation after electrical shutdown.
[0144] Step S708: The main control unit 6 starts the timer module 61 inside the main control unit 6 to reset the timing. When the timing value of the timer module 61 reaches the time delay amount, the main control unit 6 determines that the fluid passage between the main water supply pipeline and the bypass pre-drain pipeline is in a completely physical shut-off state. The main control unit 6 sends a stop output command to the dynamic sound and light alarm system 5. The directional speaker array 51 of the dynamic sound and light alarm system 5 stops exciting the sound wave signal, and the LED directional light strip array 52 of the dynamic sound and light alarm system 5 stops emitting light.
[0145] In step S709, while maintaining normal power supply, the main control unit 6 overwrites the fluid readiness factor in the internal system status flag register with an initial invalid value. Subsequently, the main control unit 6 sends a reset handshake signal to the programmable AI voice recognition module 2. After receiving the reset handshake signal, the programmable AI voice recognition module 2 pulls the DC trigger level output to the control terminal of the relay 3 to zero potential. The electromagnetic coil inside the relay 3 is de-energized due to the zero potential, and the magnetic field generated by the electromagnetic coil inside the relay 3 disappears. The mechanical spring inside the relay 3 pulls the normally open contact of the relay 3 to open, and the normally open contact of the relay 3 cuts off the physical connection between the external main power supply and the power supply bus on the system load side. At this time, the main control unit 6, millimeter-wave radar module 7, dynamic sound and light alarm system 5, main circuit proportional integral regulating valve 4, and bypass servo regulating valve 9 are simultaneously de-energized, while the microphone 1 and the programmable AI voice recognition module 2 maintain independent power supply. The microphone 1 continuously collects external analog audio signals in the working environment. The system completes the timing reset action and returns to the standby monitoring stage.
Claims
1. A coordinated control system based on sound-light linkage and showering action, characterized in that, include: The main control unit (6) is located inside the device and is used for data processing and logic control; The microphone (1) is located outside the device and is electrically connected to the input of the programmable AI speech recognition module (2); The signal output terminal of the programmable AI voice recognition module (2) is connected to the control terminal of the relay (3); The normally open contact of the relay (3) is connected in series in the power supply circuit of the main control unit (6) and the subsequent actuator to isolate the weak current on the control side and the strong current on the load side and to trigger the action. The millimeter-wave radar module (7) is installed on the device housing, and its data output terminal is connected to the main control unit (6) for communication. The main water supply pipeline is equipped with a main line proportional integral regulating valve (4) and a main line fluid pressure sensor (10). The control terminal of the main line proportional integral regulating valve (4) receives the regulation signal of the main control unit (6), and the data output terminal of the main line fluid pressure sensor (10) is connected to the main control unit (6). A bypass pre-drainage pipeline is connected in parallel to the front end of the main water supply pipeline. A wide temperature range fluid state sensor (8) and a bypass servo regulating valve (9) are installed sequentially on the bypass pre-drainage pipeline. The signal output terminal of the wide temperature range fluid state sensor (8) is connected to the main control unit (6), and the control terminal of the bypass servo regulating valve (9) is connected to the main control unit (6). The dynamic sound and light alarm system (5) consists of a directional speaker array (51) and an LED directional light strip array (52), and receives the drive signal from the main control unit (6); In the system standby state, the microphone (1) continuously collects external analog audio signals and transmits them to the programmable AI voice recognition module (2). The programmable AI voice recognition module (2) extracts audio features and matches them with built-in emergency safety command words. When the recognition and matching are successful, the programmable AI voice recognition module (2) outputs a trigger level to the relay (3). The relay (3) closes and connects the power supply circuit of the main control unit (6), the millimeter-wave radar module (7), and the dynamic sound and light alarm system (5), triggering the system to enter the response state. The millimeter-wave radar module (7) is activated and transmits frequency-modulated continuous waves to the area. The main control unit (6) processes the received echo signal, extracts the spatial three-dimensional coordinates, speed and acceleration of the target personnel, and calculates the estimated arrival time based on the constant acceleration kinematic model. The wide temperature range fluid state sensor (8) collects the temperature and turbidity data of the fluid remaining inside the bypass pre-drainage pipeline, and the main control unit (6) determines whether the temperature and turbidity data are within the preset safe physiological threshold range, so as to output the fluid readiness factor. The main control unit (6) generates driving commands to adjust the directional sound beam frequency and light band flicker rhythm of the dynamic sound and light alarm system (5) according to the calculated spatial motion parameters and the fluid readiness factor, and performs directional guidance or spatial suspension warning prompts to the target personnel. During the guidance process, the main control unit (6) adjusts the opening of the bypass servo regulating valve (9) in real time according to the decay rate of the estimated arrival time, so as to discharge the stagnant fluid that does not meet the safe physiological threshold. When the spatial three-dimensional coordinates of the target person enter the set physical shower boundary threshold range and the estimated arrival time approaches zero, the main control unit (6) outputs a control signal to close the bypass servo regulating valve (9) and sends a step-up pressure control command to the main proportional integral regulating valve (4). The opening of the main proportional integral regulating valve (4) increases continuously according to the preset exponential smooth pressure increase function to complete the step-up shower start.
2. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: The programmable AI speech recognition module (2) is internally configured with an embedded neural network accelerator (21) and a non-volatile memory (22). The non-volatile memory (22) is pre-written with wake-up word feature vectors and safety emergency command word feature vectors. The programmable AI speech recognition module (2) uses single-channel noise reduction algorithms such as spectral subtraction or Wiener filtering to suppress background noise of external simulated audio signals, and uses a pre-emphasis algorithm to enhance the high-frequency components of the signal to generate audio feature vectors. The embedded neural network accelerator (21) uses a cosine similarity algorithm to calculate feature matching scores, and compares the feature matching scores with preset two-level high confidence judgment thresholds. When the feature matching score is greater than or equal to its corresponding preset judgment threshold, the recognition is successful, and a DC trigger level is output to drive the relay (3) to operate.
3. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: The main control unit (6) extracts the delay data, Doppler frequency shift data, and phase difference data of the echo signal of the target person, and uses a discrete Kalman filter algorithm combined with a multipath effect suppression strategy for filtering and state estimation, continuously acquiring the spatial three-dimensional coordinates of the target person and calculating the radial straight-line distance; the main control unit (6) calculates the estimated arrival time based on a one-dimensional kinematic model, according to the radial straight-line distance, the traveling speed, and the traveling acceleration, using the following formula: In the formula, To estimate arrival time, Radial straight-line distance, For travel speed, For acceleration; when the value inside the square root of the formula is... When no real solution is found, it is determined that the target personnel have stopped approaching, and the current sound and light guidance frequency is maintained.
4. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: The Wheatstone bridge circuit inside the wide-temperature-range fluid state sensor (8) outputs an analog voltage parameter corresponding to the real-time temperature of the stagnant fluid, and the optical scattering measurement unit outputs a photocurrent parameter corresponding to the real-time turbidity of the stagnant fluid; the main control unit (6) executes binarization mapping logic to construct the fluid readiness factor, and the calculation formula is: In the formula, For fluid readiness factor, This is a real-time temperature value. This represents the lower limit of the fluid temperature that the human body can tolerate. This represents the upper limit of the fluid temperature that the human body can tolerate. This is a real-time turbidity value. This is the maximum permissible turbidity threshold.
5. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: The main control unit (6) calculates the spatial azimuth angle based on the spatial three-dimensional coordinates of the target person and the fixed installation physical coordinates of the directional speaker array (51), calculates the phase delay of the transmitted signal using a one-dimensional linear array approximation model, and drives the interference superposition of each radiating array element to synthesize a dynamic sound beam with a sound power level higher than the industrial background noise; it simultaneously calculates the ground plane projection trajectory of the target person to the main road proportional-integral regulating valve (4), generates a spatial segmented lighting sequence to drive the LED directional light strip array (52) to emit light, and forms a physical light strip guiding path within the visibility range.
6. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: When the fluid readiness factor is equal to 0, the main control unit (6) sets the pulse control frequency of the directional sound beam and the visual flicker frequency of the light strip to a fixed temporary warning frequency, and provides a temporary waiting prompt to the target personnel to inform them that the equipment is in pre-emptive preparation; when the fluid readiness factor is equal to 1, the main control unit (6) dynamically increases the output frequency in real time based on the ratio of the travel speed to the radial straight distance, combined with the mapping formula with a saturation upper limit limit and the basic bias term that ensures the minimum output frequency is maintained when the personnel are stationary, and performs spatial convergence guidance prompt.
7. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: When the fluid readiness factor is equal to 0, the main control unit (6) calculates the transient decay rate of the estimated arrival time according to the preset sampling period, calculates the opening control quantity in combination with the saturation upper limit anti-overflow algorithm, and converts it into the corresponding pulse width modulation duty cycle signal to drive the bypass servo regulating valve (9); when the personnel walking speed increases, the value of the duty cycle signal is increased to increase the discharge flow rate; When the movement speed of personnel slows down, the value of the duty cycle signal is reduced to balance the pressure in the front section of the pipeline and avoid pressure surges when the main pipeline valves are opened.
8. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: When it is determined that the target personnel have entered the effective shower physical area and the estimated arrival time approaches zero, the main control unit (6) sends a closing command to the bypass servo regulating valve (9); at the same time, the main control unit (6) records the current system running time as the initial arrival time, calculates the target valve opening according to the preset control cycle based on the exponential smooth pressure rise function, calculates the deviation value between the target valve opening and the actual feedback opening, uses the incremental proportional integral control algorithm to solve the valve position control increment, drives the main proportional integral regulating valve (4) to operate, so that the shower fluid pressure rises smoothly to the rated working pressure.
9. The coordinated control system based on sound and light linkage and showering action according to claim 1, characterized in that: After the actual valve opening of the main proportional integral regulating valve (4) reaches the preset rated working opening, the main fluid pressure sensor (10) on the main water supply pipeline continuously collects the real-time fluid static pressure value; the main control unit (6) compares the real-time fluid static pressure value with the rated working pressure value to obtain the static pressure deviation, and calculates the opening fine adjustment compensation amount based on the static pressure deviation and the constant positive steady-state pressure feedback proportional coefficient. After being converted into a standard analog voltage signal by the digital-to-analog conversion circuit, it drives the actuator (42) inside the main proportional integral regulating valve (4) to maintain the constant fluid pressure.
10. The coordinated control system based on sound and light linkage and showering action according to claim 9, characterized in that: When the single emergency response time period ends, the main control unit (6) sends a mechanical zero-position reset command to the main proportional integral regulating valve (4) and the bypass servo regulating valve (9) to eliminate the mechanical margin deviation after electrical shutdown; before the system is powered off, the main control unit (6) overwrites the internally recorded fluid readiness factor to an initial invalid value and sends a reset handshake signal to the programmable AI voice recognition module (2). Subsequently, the normally open contact of the relay (3) is disconnected, cutting off the physical connection between the external main power supply and the system load side power supply bus, and the system returns to the standby monitoring stage where only the microphone (1) collects audio.