A job space environment parameter dynamic adjustment system for occupational health protection

Abstract

The present application relates to the technical field of non-electric variable adjustment, and discloses a kind of operation space environment parameter dynamic adjustment systems for occupational health protection, comprising: source item excitation acquisition unit, space impedance definition unit, cascade control unit and execution driving unit;The system obtains source item equipment characteristic signal and calculates excitation vector, determines impedance parameter in conjunction with controlled object position, generates compensation control instruction using mutually coupled feedforward control loop and feedback regulation loop, and based on pressure response wave front slope correction instruction gain, drive fluid regulating mechanism to construct dynamic virtual pressure difference barrier in controlled space, the present application uses the causal mapping of electric signal fluctuation and flow field response to realize pre-judgment intervention, and the physical boundary of pressure difference field is repaired in real time by wave front slope identification, solve the phase lag and barrier collapse problem existing in traditional adjustment mode, ensure the geometric form integrity of protection boundary under complex working conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to a kind of operation space environment parameter dynamic adjustment system for occupational health protection, belong to non-electric variable adjustment technical field. BACKGROUND

[0002] Current industrial operation space environment adjustment system adopts global dilution or fixed measuring point feedback regulation mode, collects pollutant distribution data by concentration sensor arranged in wall or pipeline, and adjusts the operating power of air supply and exhaust mechanism.

[0003] In the pulse release link such as special component assembly, metal welding or solvent feeding, the pollutant generation intensity fluctuates with the process beat, the flow field organization has dynamic inertia, the sensor identification exceeds the standard to the lag produced by the action of actuator, cause the breathing zone to be in the high concentration pollutant envelope, increase sensor density or improve sampling frequency cannot eliminate the principle defect that regulation lags behind diffusion process, and increase maintenance cost and calibration difficulty, full-time high-load exhaust produces low energy utilization and mechanical fatigue problem;In addition to the physical limitations of hardware layout, software control method also has shortcomings, for example, the Chinese invention patent with publication number CN119832708A discloses a dust concentration online monitoring method and system based on individual moving track, which tracks the track of personnel by using wearable device, and analyzes the individual exposure and spatial position, which is limited to monitoring, evaluation and early warning passive management mode, and the scheme is used for long-term exposure file establishment and post-health evaluation, does not mine the electrical characteristics of production equipment operation, and cannot perform feedforward intervention at the starting point of pollutant release, because of the lack of coupling between flow field impedance dynamic evolution and control loop, it is difficult to real-time reconstruct and maintain virtual pressure difference barrier in the face of physical boundary mutation caused by material stacking or actuator efficiency decay.

[0004] Therefore, how to use the production equipment operation characteristic signal to realize feedforward prediction, combine the flow field impedance characteristics and physiological exposure margin cascade regulation, and build a dynamic virtual pressure difference barrier between the operating personnel and the pollution source, become the technical problems to be solved by the present application. SUMMARY

[0005] To solve the problems proposed in the background art, the technical solution of the present application is as follows: a kind of operation space environment parameter dynamic adjustment system for occupational health protection, including source item excitation acquisition unit, space impedance definition unit, cascade control unit and execution driving unit:

[0006] The source item excitation acquisition unit is used to obtain the operation characteristic signal of the source item device in the controlled space, and calculate the feedforward excitation vector representing the diffusion medium generation intensity according to the operation characteristic signal;

[0007] The spatial impedance definition unit is configured to obtain a real-time spatial position of the target protection object, and determine an air flow impedance parameter of the target protection area according to the real-time spatial position and a preset fluid dynamics distribution model.

[0008] The cascade control unit is integrated with a feedforward control loop and a feedback regulation loop which are coupled with each other. The feedforward control loop is configured to generate a compensation control instruction for pre-adjusting the environmental parameter of the target protection area based on a feedforward excitation vector. The feedback regulation loop is configured to calculate a wave front rising edge slope of a pressure response signal in the target protection area in real time by using the barrier integrity monitoring module. The cascade control unit is configured to compare the wave front rising edge slope with a preset reference slope, and dynamically increase a proportional gain of the feedback regulation loop according to the air flow impedance parameter when a deviation between the wave front rising edge slope and the preset reference slope exceeds a preset flow field integrity threshold, and perform nonlinear gain correction on the compensation control instruction.

[0009] The execution driving unit is connected with the plurality of fluid adjusting mechanisms, and is configured to drive the fluid adjusting mechanisms according to the corrected compensation control instruction, so as to build a dynamic virtual pressure difference barrier between the target protection object and the source of the diffusion medium.

[0010] Preferably, the source item excitation acquisition unit is connected to a power power cable of the source item device, and is configured to monitor a current fluctuation frequency of the source item device to identify a step change of an operating condition of the source item device, and take the step change as a starting threshold for triggering the feedforward control loop. In addition, a sampling frequency of the operating characteristic signal is not less than 10 times of a response frequency of the fluid adjusting mechanism, so as to ensure that the feedforward excitation vector takes effect before the diffusion medium reaches the target protection object.

[0011] Preferably, the cascade control unit is configured to adopt a deviation integral separation logic, and automatically cut off an integral element in the feedback regulation loop when a parameter change rate caused by the compensation control instruction exceeds a preset response threshold, so as to eliminate system oscillation in a non-electric variable adjusting process.

[0012] Preferably, the cascade control unit is configured with a flow field self-calibration logic module. The flow field self-calibration logic module is configured to acquire a differential pressure response characteristic in the target protection area when the fluid adjusting mechanism performs a step adjusting action, and compare the differential pressure response characteristic with a preset reference response model to determine a shift amount of the flow field impedance. The spatial impedance definition unit is configured to correct an impedance weight in the preset fluid dynamics distribution model in real time according to the shift amount.

[0013] Preferably, the feedback regulation loop calculates the wave front rising edge slope according to the following logic: wherein, and are real-time pressure values obtained at continuous sampling points, and are sampling time points corresponding to the real-time pressure values.​

[0014] Preferably, the cascade control unit is configured with a space boundary recognition module; the space boundary recognition module is used to extract the characteristic frequency of the driving current of the fluid regulating mechanism, and compare the characteristic frequency of the driving current with a preset reference frequency model to determine the mutation state of the controlled space physical boundary; the cascade control unit is used to correct the proportional gain of the feedback regulation loop in real time according to the mutation state, and switch the air flow impedance vector in the space impedance definition unit.

[0015] Preferably, the cascade control unit is configured with an efficiency compensation module; the efficiency compensation module is used to periodically inject a standardized micro-disturbance signal into the fluid regulating mechanism, and receive a pressure response feature corresponding to the standardized micro-disturbance signal obtained by the environment detection unit; the efficiency compensation module is used to inversely calculate the resistance drift of the components in the fluid regulating mechanism according to the phase deviation between the pressure response feature and the standardized micro-disturbance signal, and adjust the output gain of the feedforward control loop in real time according to the resistance drift.

[0016] Preferably, the cascade control unit is integrated with a controlled object state model; the controlled object state model is used to calculate the current exposure margin of the target protection object according to historical exposure data; the cascade control unit is used to dynamically adjust the proportional gain according to the current exposure margin, so that the fluid regulating mechanism executes environmental parameter compensation with non-linearly increased regulation intensity when the current exposure margin decreases to a preset safety threshold.

[0017] Preferably, the cascade control unit is configured with an energy stiffness compensator; the energy stiffness compensator is used to superimpose a high-frequency compensation component at the output end of the feedback regulation loop when the real-time calculated rising slope of the wave front decreases and the deviation exceeds the flow field integrity threshold, to drive the execution of the driving unit output power step instruction.

[0018] Preferably, the cascade control unit is used to realize non-uniform delivery of purification energy in the controlled space by coupling the power distribution with the operation beat of the source item device; the cascade control unit adjusts the output timing of the compensation control instruction according to the frequency change of the operation characteristic signal.

[0019] Compared with the prior art, the beneficial effects of the present application are:

[0020] 1. In the dynamic adjustment of space environmental parameters, the source item excitation acquisition unit maps the device operation characteristics into a feedforward excitation vector, so that the cascade control unit generates a pressure difference bias in the driving execution mechanism at the moment of pollutant generation, and cooperates with the feedback regulation loop to compensate for the local pressure difference fluctuation in real time, thereby building a dynamic virtual pressure difference barrier between the operating personnel and the pollution source, changing the response timing of the regulating system to the pollutant diffusion process, and solving the problem of protection failure caused by the detection lag of the environmental sensor.

[0021] 2. The cascade control unit extracts the local pressure difference response characteristic slope triggered by the step action of the environmental regulation mechanism, identifies the physical topology evolution of the working space and real-time corrects the flow field impedance parameters, so that the virtual pressure difference barrier has the ability of sudden self-repair of the flow field. When the space airflow distribution changes due to material stacking or equipment moving, the protection boundary maintains the geometric integrity in the physical space through adaptive compensation of adjusting the loop parameters.

[0022] 3. The space boundary identification module extracts the frequency drift of the driving current characteristic and correlates the space volume state, injects a small disturbance signal in combination with the efficiency compensation module and analyzes the response phase shift characteristic, inverts the execution efficiency attenuation caused by the resistance increase of the filter component, and outputs power compensation through the feedforward control loop to realize non-intrusive sensing and synchronous hedging of space boundary mutation and hardware aging, and ensure the energy intensity consistency of the virtual pressure difference barrier throughout the life cycle. BRIEF DESCRIPTION OF DRAWINGS

[0023] Fig. 1 The control logic flowchart of the present application based on source item feedforward and wavefront feedback cooperation;

[0024] Fig. 2 The influence characteristic curve of the source item current intensity on the barrier formation time and the pollutant concentration of the present application;

[0025] Fig. 3 The physical space deployment and module signal interaction topology diagram of the present application. DETAILED DESCRIPTION

[0026] The specific embodiments of the present application will be described in detail below with reference to the accompanying drawings, and it should be understood that the following embodiments are only used to explain and illustrate the present application, and are not used to limit the protection scope of the present application.

[0027] The present application provides a kind of working space environmental parameter dynamic adjustment system for occupational health protection, by source item excitation acquisition unit, space impedance definition unit, cascade control unit and execution driving unit are constituted, data interaction is realized between each unit by industrial communication bus, so that environmental regulation mode is changed from lag feedback mode to physical process synchronous intervention mode;Source item excitation acquisition unit is connected to the power cable of source item equipment, for monitoring the current fluctuation frequency of source item equipment, identifies the step change of operating condition, and step change is used as the starting threshold of feedforward control loop;The unit calculates feedforward excitation vector according to operating characteristic signal , the vector is used to represent the intensity of diffusion medium, wherein the sampling frequency of operating characteristic signal is not less than 10 times the response frequency of fluid regulation mechanism, to ensure that feedforward excitation vector It takes effect before the diffusion medium reaches the target protected object; the spatial impedance definition unit is used to obtain the real-time spatial position of the target protected object, and determine the airflow impedance parameters of the target protected area based on the real-time spatial position and the preset fluid dynamics distribution model; this unit is equipped with a flow field self-calibration logic module, which is used to collect the micro differential pressure response characteristics in the target protected area when the fluid regulation mechanism performs a step adjustment action, and compare it with the preset reference response model to determine the offset of the flow field impedance, and then correct the impedance weight in the preset fluid dynamics distribution model.

[0028] During the system deployment phase, a flow field benchmark calibration procedure is executed to establish the initial parameters of the spatial impedance definition unit. The controlled space is unloaded, and the air supply and exhaust system is in a steady-state environment at 50% of its rated power. The drive unit applies a step disturbance signal with an amplitude of 10% of the rated output to the fluid regulation mechanism. The sensor array collects the pressure response data sequence of the target protection area. The least squares method is used to fit the time constant and steady-state gain of the data sequence to construct the basic impedance matrix of the controlled space's physical topology. A sampling frequency of 100 Hz is set to capture the rising edge details of micro-pressure fluctuations. The basic impedance matrix is ​​stored in the non-volatile memory of the cascaded control unit and used as a reference for subsequent dynamic correction. The cascaded control unit integrates mutually coupled feedforward control loops and feedback regulation loops. The feedforward control loop is based on the feedforward excitation vector... The system generates compensation control commands, and the feedback regulation loop uses the barrier integrity monitoring module to calculate the rising slope of the pressure response signal in real time. The cascaded control unit will set the slope of the rising edge of the wavefront. The virtual pressure barrier is compared with a preset reference slope. If the deviation exceeds a preset flow field integrity threshold, it is determined that the virtual pressure barrier has partially collapsed. The proportional gain of the feedback control loop is then increased based on the airflow impedance parameter. Nonlinear gain correction is performed on the compensation control command.

[0029] Cascaded control unit feedback adjustment loop proportional gain Quantitative correction relies on the flow field integrity threshold determined by three times the standard deviation of 100 consecutive sampling data points during the calibration phase. The barrier integrity monitoring module calculates the slope of the rising edge of the pressure response signal wavefront in the target protected area in real time. The calculation logic conforms to the formula. , and These are the continuous sampling time points. and Get real-time pressure value and real-time slope. The absolute value of the deviation from the preset benchmark slope exceeds the threshold. At that time, the cascaded control unit dynamically increases the proportional gain based on the airflow impedance parameters. The feedforward control loop generates compensation control commands to perform nonlinear gain correction, offsetting the evolution of the physical boundary of the pressure difference field caused by abrupt changes in physical spatial topology; the cascaded control unit executes a deviation integral separation procedure to suppress system oscillations during the regulation process, under varying environmental parameter rates. Exceeding the preset response threshold When this occurs, the system automatically shuts off the integral operation branch in the feedback control loop and maintains the proportional output component until the environmental parameters return to the target value. Within the error band, the integral stage is reconnected to perform the residual elimination process; the cascaded control unit is equipped with a spatial boundary identification module and a performance compensation module. The spatial boundary identification module extracts the characteristic frequency of the driving current of the fluid regulation mechanism. It compares the result with a preset frequency model to determine the abrupt change state of the physical boundary of the controlled space; the efficiency compensation module periodically injects standardized micro-perturbation signals into the fluid regulation mechanism, inverts the component resistance drift based on the phase deviation between the pressure response characteristics and the micro-perturbation signals, and adjusts the output gain of the feedforward control loop accordingly.

[0030] The cascaded control unit obtains the operating characteristic signal frequency from the source term excitation acquisition unit. Adjust the output timing of compensation control commands Following a linear prediction model ,in, For instruction delay time, The straight-line distance from the source device to the target protected object. The diffusion velocity of the medium is determined by the gas flow impedance parameter. The system's actuator response time constant is defined. The system dynamically fine-tunes the lead time of command outputs to synchronize the energy delivery phase with the wavefront arrival phase of the pollutant medium. The cascaded control unit's feedforward control loop and feedback adjustment loop are precisely engineered and matched. The system monitors the frequency fluctuations in the power cable current of the source equipment to identify step changes in operating conditions, using these step changes as the trigger threshold for feedforward adjustment. The sampling frequency of the operating characteristic signal is no less than ten times the response frequency of the fluid regulation mechanism. The control unit obtains the operating characteristic signal frequency from the source excitation acquisition unit. Using linear prediction models Adjust the timing of compensation control command output , The straight-line distance from the source device to the target protected object. The medium diffusion velocity is determined by the airflow impedance parameters. The system actuator response time constant is dynamically fine-tuned to adjust the lead time of the command output, ensuring that the phase of the purification energy delivery is synchronized with the arrival phase of the pollutant medium wavefront. The cascaded control unit integrates the state model of the controlled object, used to calculate the current exposure margin of the target protected object based on historical exposure data. , adjust the proportional gain of the feedback regulation loop ; when the current exposure margin decreases to a preset safety threshold, the cascade control unit increases the regulation strength and drives the execution driving unit to act on the fluid regulating mechanism, and builds a dynamic virtual pressure difference barrier between the controlled object and the diffusion medium source by adjusting the pressure difference distribution characteristics.

[0031] Embodiment 1: In a metal component welding workshop, workers move between multiple workstations and perform manual electric arc welding operations, the source item excitation acquisition unit monitors the welding machine power cable current fluctuation frequency through the mutual inductor, and when the current load is identified to change from 0A to 200A working condition, the pre-feed excitation vector representing the diffusion medium generation intensity is calculated according to the operating characteristic signal , the cascade control unit obtains the pre-feed excitation vector , and according to the air flow impedance parameters determined by the real-time spatial position, the execution driving unit drives the fluid regulating mechanism to increase the output power to produce a transient pressure bias before the diffusion medium reaches the target protected object.

[0032] The feedback regulation loop uses the barrier integrity monitoring module to collect pressure response signals and calculate the wave front rising edge slope , which meets the formula , where is the wave front rising edge slope, with units of Pa / s, and are the real-time pressure values obtained at continuous sampling time points and , with units of Pa; when the wave front rising edge slope decreases due to local turbulence caused by the movement of workers and the deviation exceeds the preset flow field integrity threshold, the energy stiffness compensator superimposes a high-frequency compensation component at the output end of the feedback regulation loop , driving the fluid regulating mechanism to step output power to maintain the physical boundary of the dynamic virtual pressure difference barrier, and the system uses the pre-feed excitation vector determined by the source item device electrical characteristic signal to guide the pressure field to act in advance, and the physical boundary fluctuation identified by the wave front rising edge slope performs gain correction, so that the protective energy distribution in the controlled space is synchronized with the process rhythm.

[0033] Embodiment 2: In a closed test field simulating a welding operation space, the test field specifications are , and for the pulsed smoke diffusion process generated by manual electric arc welding, the performance of the system in terms of dynamic response time and barrier stability is verified, where the test platform includes a supply and exhaust piping system and a sensor array. The differential pressure sensor used has a measurement range of and a resolution of The sampling frequency is set to The current acquisition unit adopts an accuracy level of The physical test platform uses the raw signals acquired by the current transformer as a data source to verify the synergistic effect of the feedforward control loop and the feedback regulation loop; regarding the sampling period in the experiment... The setting is mainly influenced by the bandwidth of the controlled signal and the mechanical action response time of the fluid regulating mechanism, and the sampling period. The setting is used to balance the real-time performance of data updates with the computational load of the control unit. Its decision logic is defined as a sampling frequency not less than 10 times the response frequency of the fluid regulating mechanism. Under the typical working conditions of this experiment, based on the variable frequency fan... The adjustment step will change the sampling period. Set as That is, the sampling frequency is To simulate electromagnetic interference and airflow turbulence in actual industrial environments, a signal-to-noise ratio of [value missing] is superimposed in the sensor signal chain. Gaussian white noise, and introduced by the frequency converter at a frequency of Power frequency harmonic interference.

[0034] After the experiment was started, The welding machine is triggered to generate arc at any time. The current step signal is captured in real time by the source term excitation acquisition unit, which then calculates the feedforward excitation vector. The cascaded control unit uses a feedback adjustment loop to continuously calculate the wavefront rise slope of the pressure response signal within the target protection area. The slope conforms to the formula ,in, The slope of the rising edge of the wavefront, in Pa / s. and These are the continuous sampling time points. and The real-time pressure values ​​obtained are in Pa; Table 1 shows the comparative data of protection performance tests under different adjustment methods, where the test group uses a complete feedforward control loop and has The feedback control loop for the correction function is as follows: control group 1 uses concentration feedback control, control group 2 uses only feedforward control, and control group 3 uses low sampling rate control mode. See Table 1.

[0035] Table 1: Comparison of Protection Performance Test Data under Different Adjustment Methods

[0036]

[0037] The experimental group at the current step occurrence The initial pressure setting of the virtual differential pressure barrier was completed within the time limit, which shortened the time compared to control group 1. response time, showing the system's inhibition of the diffusion medium's accumulation process in the breathing zone, and when analyzing the nonlinear effect, the rising slope of the wave front deviates from the reference slope , the cascade control unit performs energy compensation by dynamically adjusting the proportional gain, and when the current intensity rises to , the virtual pressure difference barrier formation time tends to be flat, indicating the physical saturation limit of the fluid regulating mechanism near the power peak.

[0038] Embodiment 3: This embodiment combines Figs. 1 to 3 , a dynamic adjustment system for occupational health protection-oriented job space environment parameters is described, as shown in Fig. 1 , the logical architecture begins with the source device generating a running feature signal, which is acquired by the source excitation collection unit and used to calculate the feedforward excitation vector, while the spatial impedance definition unit determines the airflow impedance parameters based on the real-time spatial position of the target protection object and the pre-set fluid model. The feedforward excitation vector and the airflow impedance parameters are synchronized into the cascade control unit, which generates compensation control instructions through a feedforward mechanism and compares the rising slope of the wave front through a feedback mechanism. If necessary, the nonlinear gain is adjusted based on the impedance to generate revised compensation control instructions, which are transmitted to the execution driving unit to drive the fluid regulating mechanism to perform actions, thereby constructing a dynamic virtual pressure difference barrier in the controlled space and providing closed-loop feedback data to the cascade control unit through the pressure response signal, i.e., the wave front slope.

[0039] As shown in Fig. 2 , where the horizontal axis represents current intensity in A, the left vertical axis represents virtual pressure difference barrier formation time in s, and the right vertical axis represents breathing zone pollutant concentration in . The solid curve in the figure depicts the nonlinear rising trend of the virtual pressure difference barrier formation time with increasing current intensity, with data points showing that the formation time increases from 0.12 s at 100 A to 0.20 s at 400 A. The dashed curve in the figure depicts the corresponding relationship between the breathing zone pollutant concentration and the current intensity, showing that it monotonically increases with the increase of the source intensity in the range of 0.35 to 0.55 ; as Fig. 3As shown, the core of the figure is the cascade control unit of the intelligent hub, which internally integrates a feedforward control loop, a feedback regulation loop, a spatial impedance definition unit and a controlled object state model. The cascade control unit receives the operating characteristic signals from the source item monitoring end, which is deployed at the power cable position of the source item equipment. The core components include a source excitation acquisition unit and an operating characteristic signal extractor. The cascade control unit outputs compensation control instructions to the execution driving end, which is deployed at the ventilation or purification equipment. The core components include an execution driving unit and a variable frequency fluid regulation mechanism, which functions to generate a physical field effect to form a dynamic virtual pressure difference barrier. The dynamic virtual pressure difference barrier covers the target protection zone, which is deployed around the personnel breathing zone and internally includes a barrier integrity monitoring module and a pressure and position sensor array, which are used to feed back the collected wavefront slope and position data to the cascade control unit.

[0040] Embodiment 4: In the working condition where the physical topology of the working space changes due to the movement of the large workpiece shelf, to solve the problem of mismatch between the pre-set fluid dynamics distribution model and the current airflow impedance characteristics, the system starts the flow field impedance dynamic reconstruction program based on active excitation response. The implementation process acts on the physical regulation array including multiple groups of variable frequency fans and micro differential pressure sensors. The variable frequency fans used have a frequency regulation resolution of not less than , and the static accuracy of the micro differential pressure sensor is better than . The initial state definition of the implementation of this process needs to be established through an offline calibration procedure, that is, in the empty stable state environment, the flow regulation mechanism is driven by the cascade control unit to execute a step action with a step value of of the rated power , and the pressure response curve in the target protection zone is recorded synchronously, and the least squares method is used to fit and extract the reference rising edge slope and the reference lag time, thereby constructing the reference response model.

[0041] When the shelf movement causes an increase in local flow field resistance, the flow field self-calibration logic module injects a step control component into the fan corresponding to the region through the execution driving unit, and uses the barrier integrity monitoring module to obtain the measured slope in real time. The specific algorithmic processing procedure includes: calculating the relative deviation of the measured slope and the reference rising edge slope ; retrieving the preset flow field integrity threshold , which is determined on the basis of three times the standard deviation of the 100 consecutive sampling data in the calibration stage, that is, ; if the relative deviation is greater than the flow field integrity threshold , it is determined that the current flow field impedance matrix is invalid, and the system executes the impedance weight correction formula the impedance weight after correction, the impedance weight before correction, is a preset damping coefficient; after the real-time correction of the impedance weight is completed, the feedforward control loop of the cascade control unit adjusts the reference gain of the compensation control instruction according to the updated space impedance parameter, so as to ensure that the pressure potential output by the fluid regulating mechanism can cover the breathing band of the controlled object at the moment when the pollutant pulse occurs; the feedback regulation loop synchronously monitors the stability of the rising edge slope of the wave front When it is detected that the slope fluctuation rate returns to the flow field integrity threshold , the system determines that the physical boundary of the dynamic virtual pressure difference barrier has completed self-repair and enters a steady-state maintenance mode.

[0042] In the deployment stage of the special component assembly station, the cascade control unit executes a space boundary reference calibration program, that is, when the working environment door and window are closed and the fluid regulating mechanism is in a steady-state working condition at 80% of the rated power, the space boundary recognition module obtains the current sampling signal of the frequency conversion motor, and uses a frequency spectrum analysis algorithm based on fast Fourier transform to extract the load resonance component in the current signal, so that the extracted reference resonance frequency is stored in the preset frequency model; this program provides a frequency reference for subsequent identification of the mutation of the equivalent volume of the controlled space by recording the characteristic frequency generated by the coupling of the physical space and the fluid regulating mechanism.

[0043] During the self-checking period before the system is formally operated, the efficiency compensation module executes a perturbation phase shift mapping program for the initial damping state of the current filter assembly, the cascade control unit drives the fluid regulating mechanism to generate a sinusoidal disturbance signal with a frequency set to 5Hz and an amplitude of 3% of the rated output, the barrier integrity monitoring module synchronously obtains the pressure fluctuation signal in the protection area, and calculates the phase difference angle between the injected disturbance signal and the pressure feedback signal, so as to determine the performance reference of the filter assembly in the initial state; the system calculates the deviation of the real-time phase difference angle from the performance reference, inverts the resistance increase value of the filter assembly, and adjusts the output gain of the feedforward control loop according to the deviation, so as to maintain the energy density of the virtual pressure difference barrier when the filter assembly produces physical aging leading to actual air volume attenuation.

[0044] In the trial operation period of the newly deployed special component assembly line, the system executes a protection boundary calibration program to determine the geometric radius of the dynamic virtual pressure difference barrier , the cascade control unit drives the fluid regulating mechanism to establish a stable pressure gradient, the working personnel move at a speed of to between the preset stations, and the barrier integrity monitoring module records the rising edge slope of the wave front below the flow field integrity threshold​ Critical distance The system utilizes the critical distance to correct the airflow resistance parameter in the spatial impedance definition unit and apply a linear compensation relationship to calculate the geometric radius to maintain the continuous distribution of the pressure potential of the controlled area during personnel movement.

[0045] Before formal operation, the cascade control unit establishes the current exposure margin and the nonlinear mapping model of the proportional gain to establish the adjustment weight near the physiological tolerance critical point, and the system calculates the current exposure margin according to the occupational exposure limit and the source item device operation time, and executes the gain calculation formula wherein, is the proportional gain, is the basic proportional gain, is the occupational exposure limit, and the unit is , is the current exposure margin calculated in real time, and the unit is , and the current exposure margin is reduced to of the occupational exposure limit , the proportional gain of the feedback adjustment loop is nonlinearly increased with the decrease of the current exposure margin , so that the execution driving unit increases the output response speed of the fluid adjustment mechanism, thereby accumulating kinetic energy pressure head around the breathing zone of the controlled object.

[0046] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0047] Finally, it should be noted that the above examples are only used to illustrate the technical solutions of the present application and are not limiting, and although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A dynamic adjustment system for work space environment parameters oriented to occupational health protection, characterized in that, The method comprises a source item excitation acquisition unit, a space impedance definition unit, a cascade control unit and an execution driving unit. The source item excitation acquisition unit is used for acquiring the operation characteristic signal of the source item device in the controlled space, and calculating the feedforward excitation vector representing the intensity of the diffusion medium according to the operation characteristic signal. The space impedance definition unit is used for acquiring the real-time space position of the target protection object, and determining the air flow impedance parameter of the target protection area according to the real-time space position and the preset fluid dynamics distribution model. The cascade control unit integrates a feedforward control loop and a feedback regulation loop which are coupled with each other; the feedforward control loop is used to generate a compensation control instruction for pre-adjusting a target protection area environment parameter based on a feedforward excitation vector; the feedback regulation loop is used to calculate a wave front rising edge slope of a pressure response signal in the target protection area in real time by using a barrier integrity monitoring module; the feedback regulation loop calculates the wave front rising edge slope The logic is consistent with: Wherein, And is a real-time pressure value obtained at a continuous sampling point, And is a sampling time point corresponding to the real-time pressure value, the cascade control unit is used to compare the wave front rising edge slope with a preset reference slope, and when a deviation between the two exceeds a preset flow field integrity threshold, the feedback regulation loop is dynamically increased in proportional gain according to the air flow resistance parameter, the compensation control instruction is nonlinearly gain corrected, and the flow field integrity threshold is determined by three times of standard deviation of 100 continuous sampling data in the calibration stage ; The execution driving unit is connected to multiple groups of fluid adjusting mechanisms, and is used for driving the fluid adjusting mechanisms according to the corrected compensation control instruction, so as to build a dynamic virtual pressure difference barrier between the target protection object and the source of the diffusion medium.

2. The system according to claim 1, wherein, The source item excitation acquisition unit is connected to the power power cable of the source item device, and is used for monitoring the current fluctuation frequency of the source item device to identify the step change of the operation condition of the source item device, and taking the step change as the starting threshold of the feedforward control loop; wherein the sampling frequency of the operation characteristic signal is not less than 10 times of the response frequency of the fluid adjusting mechanism.

3. The system according to claim 1, wherein, The cascade control unit is used for adopting deviation integral separation logic, and automatically cutting off the integral link in the feedback regulation loop when the parameter change rate caused by the compensation control instruction exceeds the preset response threshold.

4. The system according to claim 1, wherein, The cascade control unit is configured with a flow field self-calibration logic module. The flow field self-calibration logic module is used for collecting the differential pressure response characteristics in the target protection area when the fluid adjusting mechanism executes the step adjusting action, and comparing the differential pressure response characteristics with the preset reference response model to determine the offset of the flow field impedance; the space impedance definition unit is used for real-time correcting the impedance weight in the preset fluid dynamics distribution model according to the offset.

5. The dynamic adjustment system of the working space environment parameter for the occupational health protection according to claim 1, characterized in that, The cascade control unit is configured with a space boundary recognition module; the space boundary recognition module is used for extracting the driving current characteristic frequency of the fluid adjusting mechanism, and comparing the driving current characteristic frequency with the preset reference frequency model to determine the mutation state of the physical boundary of the controlled space; the cascade control unit is used for real-time correcting the proportional gain of the feedback regulation loop according to the mutation state, and switching the air flow impedance vector in the space impedance definition unit.

6. The dynamic adjustment system of the working space environment parameter for the occupational health protection according to claim 1, characterized in that, The cascade control unit is configured with an efficiency compensation module; the efficiency compensation module is used for periodically injecting a standardized micro-disturbance signal into the fluid adjusting mechanism, and receiving the pressure response characteristics corresponding to the standardized micro-disturbance signal acquired by the environment detection unit; the efficiency compensation module is used for inversely calculating the resistance drift of the components in the fluid adjusting mechanism according to the phase deviation between the pressure response characteristics and the standardized micro-disturbance signal, and real-time adjusting the output gain of the feedforward control loop according to the resistance drift.

7. The dynamic adjustment system of the working space environment parameter for the occupational health protection according to claim 1, characterized in that, The cascade control unit is integrated with a controlled object state model; the controlled object state model is used for calculating the current exposure margin of the target protection object according to the historical exposure data; the cascade control unit is used for dynamically adjusting the proportional gain according to the current exposure margin, so that the fluid adjusting mechanism executes the environmental parameter compensation with a non-linearly increased adjusting intensity when the current exposure margin decreases to a preset safety threshold.

8. The dynamic adjustment system of the working space environment parameter for the occupational health protection according to claim 1, characterized in that, The cascade control unit is configured with an energy stiffness compensator; the energy stiffness compensator is used to superimpose a high-frequency compensation component at the output end of the feedback regulation loop to drive the execution driving unit to output a power step command when the rising edge slope of the real-time calculated wave front is reduced and the deviation exceeds the flow field integrity threshold.

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