A three-color audible and visual graded alarm control method for sedimentation tank water level

Abstract

This invention relates to the field of audible and visual graded alarm technology, specifically disclosing a three-color audible and visual graded alarm control method for sedimentation tank water level. This method obtains the depth offset within a single cycle by acquiring the sedimentation tank water level sequence and truncating it with a critical scale; it calculates the area of ​​the over-limit and fall waveforms through two-dimensional time-depth accumulation, and extracts waveform skewness features through asymmetric proportional calculation; it performs steady-state convergence verification on the waveform skewness features, identifies symmetrical oscillation segments and marks standing wave interference to trigger locking logic to generate an indication state freeze command; it obtains the operating condition confidence level, performs interference stripping processing to obtain an effective rising baseline and generates a warning recovery command; it evaluates the control boundary of the operating condition confidence level to obtain the response mode identifier, performs over-limit constraint verification on the effective rising baseline, and then obtains the graded drive command for the alarm device. This invention is beneficial for eliminating water surface standing wave and chaotic interference, improving the reliability of graded alarms.

Description

Technical Field

[0001] This invention relates to the field of audible and visual graded alarm technology, specifically to a three-color audible and visual graded alarm control method for sedimentation tank water level. Background Technology

[0002] In wastewater treatment or industrial fluid separation processes, sedimentation tanks are one of the core structures. To prevent overflow accidents caused by abnormal influent or obstructed sludge discharge, level sensors are usually installed in the tank, and a three-color audible and visual alarm device is activated for graded water level monitoring.

[0003] However, surface fluctuations in sedimentation tanks are affected by environmental factors, mechanical factors, and hydrodynamic impacts, such as ripples caused by surface breezes or periodic low-frequency oscillations caused by the start and stop of the sludge return pump. When the actual water level in the sedimentation tank is near the alarm threshold (such as the yellow or red line), disturbance energy will form a physical standing wave on the water surface within the confined physical space of the tank. This standing wave manifests as alternating upward overflow and downward retraction of energy on the time axis.

[0004] This phenomenon causes the level sensor to capture high-frequency alternating level readings, leading the underlying control system to frequently exceed the critical threshold. The system directly converts these high-frequency exceedance signals into flashing drive pulses, causing alarm fatigue for operators and mechanical fatigue damage to the relays inside the three-color audible and visual alarm device due to frequent high-frequency engagement and disengagement. Furthermore, simply cutting off the power or extending the static filtering time to deal with this physical standing wave is insufficient to address the actual physical rise rate during a sustained underwater flood. This can be easily masked by the chaotic surface appearance or static delay logic, preventing the system from predicting and triggering an overloaded alarm, potentially causing a pool overflow.

[0005] Therefore, the present invention provides a three-color audible and visual graded alarm control method for sedimentation tank water level. Summary of the Invention

[0006] The purpose of this invention is to provide a three-color audible and visual graded alarm control method for sedimentation tank water level, which can reduce the possibility of tank overflow accidents.

[0007] The objective of this invention can be achieved through the following technical solutions: A method for controlling the water level in a sedimentation tank using a three-color audible and visual alarm includes the following steps: The liquid level sequence of the sedimentation tank is collected and truncated with a set critical scale to obtain an alternating waveform sequence consisting of alternating over-limit half-waves and retracement half-waves; depth offset analysis is performed on the alternating waveform sequence and the critical scale to obtain the depth offset. By performing two-dimensional time-depth cumulative calculations on the dwell time and depth offset of the over-limit half-wave and the fallback half-wave, the areas of the over-limit waveform and the fallback waveform are obtained; based on the areas of the over-limit and the fallback waveform, the waveform skewness characteristics are obtained through asymmetric proportional calculation. Steady-state convergence test is performed on the waveform skewness characteristics to identify symmetrical oscillation segments with the area of ​​the waveform exceeding the limit and the area of ​​the waveform falling back, and standing wave interference is marked; based on the standing wave interference mark, alarm locking logic is triggered to obtain the freeze command of the three-color audible and visual alarm device indication status; Periodic discrete analysis is performed on the waveform skewness characteristics associated with the standing wave interference identifier to obtain the operating condition confidence level; based on the operating condition confidence level, interference stripping processing is performed on the waveform skewness characteristics to obtain an effective rising baseline, and an early warning recovery command is generated.

[0008] As a further technical solution of the present invention, the method for performing the depth offset analysis is as follows: Extreme point tracing processing is performed on the alternating waveform sequence to obtain the peak point of the over-limit half wave and the trough point of the falling half wave; Subtract the set value of the critical scale from the real-time liquid level value corresponding to the peak point to obtain the depth offset of the peak relative to the critical scale. Subtract the real-time liquid level value corresponding to the trough point from the set value of the critical scale to obtain the depth offset of the trough relative to the critical scale.

[0009] As a further technical solution of the present invention: the method for performing the asymmetric ratio calculation is as follows: Obtain the net difference and total area of ​​the over-limit waveform area and the fallback waveform area; Calculate the ratio of the net area difference to the total area, and define the waveform skewness characteristic.

[0010] As a further technical solution of the present invention: the method for obtaining the area of ​​the over-limit waveform and the area of ​​the fallback waveform is as follows: The dwell time of the over-limit half-wave on the time axis is divided into multiple equally spaced discrete time slices; Within each discrete time slice, the corresponding real-time liquid level value is extracted, and the difference between the real-time liquid level value and the critical scale is calculated to obtain the depth offset. Multiply the time span of each discrete-time slice by the corresponding slice depth offset to obtain the micro-area of ​​a single slice; The area of ​​the waveform exceeding the limit is obtained by summing the areas of the infinitesimal elements of all discrete-time slices within the half-wave exceeding the limit. Using the same time-slice division and multiplication-accumulation method, the differences between all real-time liquid level values ​​and critical scale values ​​within the fallback half-wave are processed and summed sequentially to obtain the fallback waveform area.

[0011] As a further technical solution of the present invention: the alarm locking logic is triggered in the following way: Read the actual relay output state of the three-color audible and visual alarm device at the moment before receiving the standing wave interference indicator, and define it as the safety reference state; In the logic control loop, intercept the underlying flicker pulse signal directly generated by the high-frequency over-limit of the physical sensor, and use the safety reference state to forcibly cover the current high-frequency change state; By overriding the state to cut off frequently alternating electrical actions, a freeze command is generated for the three-color audible and visual alarm device.

[0012] As a further technical solution of the present invention: the method for obtaining the standing wave interference identifier is as follows: A sliding decision window is established, and the controller adds up the absolute values ​​of all waveform skewness characteristics within the sliding decision window to obtain the absolute fluctuation base. The net cumulative deviation value is obtained by algebraically summing all waveform skewness characteristics within the sliding judgment window. Calculate the ratio of the absolute value of the net deviation cumulative value to the absolute fluctuation base to obtain the skewed convergence coefficient, and calculate the relative evolution gradient between the skewed convergence coefficient at the current moment and the historical skewed convergence coefficient at the previous moment. The sign of the relative evolution gradient calculated over multiple consecutive update cycles is extracted, a gradient polarity sequence is constructed, and the number of times the positive and negative signs in the sequence are flipped is counted. The controller establishes a polarity oscillation determination rule, inputting the number of times the positive and negative signs switch to the polarity oscillation determination rule to obtain the determination result of whether the system is in a symmetrical oscillation state; The time segments corresponding to the symmetrical oscillation state are extracted and used as symmetrical oscillation segments, and standing wave interference is marked.

[0013] As a further technical solution of the present invention, the confidence level of the operating condition is obtained as follows: Obtain the skewness reference value within the time period, calculate the difference between the value of each waveform skewness feature and the skewness reference value, and obtain the corresponding deviation difference; The periodic dispersion is obtained by summing the absolute values ​​of all deviations. The controller extracts the minimum floating-point precision value of its own underlying processor and defines it as a zero-compensation constant. The calculated periodic dispersion is added to the zero-prevention compensation constant to obtain the fault-tolerant dispersion base. The controller retrieves the internally stored ideal fluctuation reference value; The operating condition confidence level is obtained by calculating the ratio of the ideal fluctuation reference value to the fault-tolerant discrete base.

[0014] As a further technical solution of the present invention, it also includes: The control boundary assessment is performed on the operating condition confidence level within the early warning recovery command to obtain the response mode identifier characterizing the predicted authorization depth; based on the response mode identifier, the asymmetric over-limit constraint verification is performed on the effective climbing baseline to obtain the hierarchical driving command of the three-color audible and visual alarm device.

[0015] As a further technical solution of the present invention: the method for performing the out-of-limit constraint verification is as follows: Extract the effective climbing baseline value at the current moment and calculate the baseline climbing displacement relative to the preset evaluation backtracking time point; The rate of change of the baseline climb displacement over the time span between the current moment and the evaluation backtracking point is calculated to obtain the physical climb rate; The highest-level alarm absolute physical red line of the sedimentation tank is read from the controller, and overflow prediction is performed by combining the physical rise rate to obtain the predicted overflow countdown; The controller compares the predicted overflow countdown with the preset system safety emergency response time, and formulates different drive commands based on the comparison results.

[0016] As a further technical solution of the present invention, the method for performing the overflow prediction is as follows: Calculate the margin of the absolute physical redline value relative to the current effective ascent baseline value to obtain the remaining safety margin; The ratio of the remaining safe space to the physical rate of ascent is calculated to obtain the predicted flood countdown before the water surface touches the absolute physical red line.

[0017] The beneficial effects of this invention are as follows: 1. By establishing a real-time liquid level sequence, extracting the half-wave alternation characteristics and the depth offset of the corresponding peaks and troughs, the signal discretization and reconstruction method upgrades the traditional single-point static extreme value comparison to the feature capture of dynamic waveform span, improving the perception dimension of the evolution trend of water surface physical fluctuations within a confined space. By combining the overflow prevention normalization mechanism, asymmetric proportional calculation is performed on the waveform area of ​​exceeding limits and falling back to extract waveform skewness characteristics. This is beneficial for quantifying the asymmetric evolution trend of water level reciprocating up and down, while preventing the risk of underlying data overflow and system crash caused by the denominator approaching zero in division operations under extreme unilateral surge conditions.

[0018] 2. Constructing a steady-state convergence verification mechanism, analyzing the relative evolution gradient of the skewed convergence coefficients and performing alternation law tracing of polarity signs, is beneficial to enhancing the reliability of identifying the dead zone of undirected reciprocating pull; activating the underlying state blocking mechanism for the identified symmetrical oscillation segments, covering and intercepting high-frequency flicker pulses with a safe baseline state, and using a state freezing strategy to block frequently alternating electrical execution signals, is beneficial to reducing the probability of fatigue damage to external alarm device relays caused by high-frequency mechanical engagement.

[0019] 3. By establishing a periodic dispersion evaluation system that includes a zero-compensation constant, the degree of chaos in water surface fluctuations can be quantified, enabling the dispersion to objectively reflect the characteristic differences between mechanical regular oscillations and disordered fluid impacts. The confidence level extracted from the current operating condition confidence level and the average of long-period historical states is compared to assess the predicted authorized depth. Dynamic boundary logic reduces the interference of sudden severe water conditions on the system's underlying judgment and improves the rationality of response mode matching. Asymmetric limit-crossing constraint verification is performed based on mode differences. In the aggressive mode of regular fluctuations, a ramp rate prediction countdown is used to break through traditional physical limits in feedforward sensing to gain redundant time for on-site emergency response. In the retreat mode of chaotic impacts, a spatial limit-crossing timer is introduced to perform dual verification of physical space and duration. This tiered control system balances the agility of hazard detection with the stability of alarm-driven operation. Attached Figure Description

[0020] The invention will now be further described with reference to the accompanying drawings.

[0021] Figure 1 This is a flowchart of a three-color audible and visual graded alarm control method for sedimentation tank water level according to the present invention; Figure 2 This is a flowchart of the asymmetric limit-crossing constraint verification performed on the effective climbing baseline based on the response mode identifier in this invention; Figure 3 This is a functional block diagram of a sedimentation tank water level three-color sound and light graded alarm control system according to the present invention. Detailed Implementation

[0022] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0023] Example 1

[0024] like Figure 1 As shown, a three-color audible and visual graded alarm control method for sedimentation tank water level includes the following steps: S10: Collect the liquid level sequence of the sedimentation tank and perform a truncation operation with the set critical scale to obtain an alternating waveform sequence consisting of alternating over-limit half-waves and retracement half-waves; perform depth offset analysis on the alternating waveform sequence and the critical scale to obtain the depth offset within a single cycle. The method for obtaining an alternating waveform sequence consisting of alternating over-limit half-waves and retracement half-waves by collecting the liquid level sequence from the sedimentation tank and truncating it with a set critical scale is as follows: In some embodiments, the controller in the sedimentation tank continuously acquires the real-time liquid level value output by the single-point liquid level sensor according to a preset high-frequency sampling cycle. The real-time liquid level values ​​are arranged sequentially according to the output time to establish a continuous liquid level sequence; The controller reads a pre-set critical scale and performs continuous truncation operations on the liquid level sequence based on the critical scale to obtain the intersection time nodes. It should be noted that the critical scale refers to the physical height baseline that divides the sedimentation tank into normal operating water level and high warning water level, such as the 5.5-meter water level line; The truncation operation is as follows: compare each real-time liquid level physical measurement value in the liquid level sequence with the value of the critical scale, and screen out the intersection time nodes when the real-time liquid level value jumps from less than the critical scale to greater than the critical scale, and falls from greater than the critical scale to less than the critical scale. Extract the continuous real-time liquid level values ​​between two adjacent intersecting time nodes, and define them as half-waves of the continuous time segment; If all real-time liquid level values ​​between two intersecting time points are greater than the critical scale, then the half-wave of the corresponding continuous time segment is marked as the over-limit half-wave; if all are less than the critical scale, then it is marked as the falling half-wave. The controller combines an over-limit half-wave and a falling half-wave that are immediately adjacent on the time axis to form a complete single-cycle alternating waveform; By combining N single-cycle alternating waveforms, a sequence of alternating waveforms connected in sequence is obtained; Preferably, N=50; The method for obtaining the depth offset within a single period by performing depth offset analysis on the alternating waveform sequence and the critical scale is as follows: Extreme point tracing processing is performed on the alternating waveform sequence to obtain the peak point of the over-limit half wave and the trough point of the falling half wave; The method for performing the extreme point tracking process is as follows: Within the time span of each over-limit half-wave, the controller selects the liquid level measurement value with the largest value as the peak point of the over-limit half-wave by comparing it point by point. Meanwhile, within the time span of each half-wave of decline, the liquid level measurement value with the smallest value is selected as the trough point of that half-wave of decline. Subtract the set value of the critical scale from the real-time liquid level value corresponding to the peak point to obtain the depth offset of the peak relative to the critical scale. Subtract the real-time liquid level value corresponding to the trough point from the set value of the critical scale to obtain the depth offset of the trough relative to the critical scale.

[0025] S20: By performing two-dimensional cumulative calculations of the dwell time and depth offset of the over-limit half-wave and the falling half-wave, the over-limit waveform area and the falling waveform area are obtained; based on the over-limit and falling waveform areas, asymmetric proportional calculations are performed to obtain waveform skewness characteristics that reflect the physical water level evolution trend. The method for obtaining the areas of the over-limit waveform and the fallback waveform by performing a two-dimensional cumulative calculation of the dwell time and depth offset of the over-limit half-wave and the fallback half-wave is as follows: For any single-cycle alternating waveform, the controller extracts two intersecting time nodes of the corresponding over-limit half-wave and calculates the time difference between the two intersecting time nodes to obtain the dwell time of the over-limit half-wave on the time axis. Simultaneously, the two intersecting time nodes of the falling half-wave are extracted and the time difference is calculated to obtain the dwell time of the falling half-wave on the time axis. The controller divides the dwell time of the over-limit half-wave on the time axis into multiple equally spaced discrete time slices according to the high-frequency sampling period. Within each discrete time slice, the corresponding real-time liquid level value is extracted, and the difference between the real-time liquid level value and the critical scale is calculated to obtain the depth offset of a single discrete time slice. It should be noted that, in order to prevent the burr noise caused by the slight wind on the surface of the sedimentation tank or the slight vibration of the bottom scraper from being incorrectly accumulated over a long period of time, a noise quiet zone filtering logic should be established. The noise quiet zone filtering logic is as follows: a physical noise tolerance threshold is preset. If the absolute value of the obtained slice depth offset is less than the physical noise tolerance threshold, it is determined to be an invalid physical fluctuation, and the depth offset of the discrete time slice is forcibly set to zero to prevent the tiny static noise from being mistakenly included in the energy accumulation process of the real surging water body. Multiply the time span of each discrete-time slice by the corresponding slice depth offset after filtering out logical judgments to obtain the micro-element area of ​​a single slice; The area of ​​each discrete time slice within the over-limit half-wave is summed sequentially to obtain the over-limit waveform area that characterizes the intensity of the physical energy overflowing upwards from the local water surface. Using the same time slice division and multiplication accumulation method, the differences between all critical scale setting values ​​and real-time liquid level values ​​within the fall half-wave are processed and summed sequentially to obtain the positive scalar fall waveform area that characterizes the physical energy intensity of the local water surface falling back. Among them, the process of obtaining the waveform skewness characteristics reflecting the physical water level evolution trend by performing asymmetric proportional calculation based on the area of ​​the over-limit and fall waveforms is as follows: The method for performing the asymmetric scaling is as follows: The controller subtracts the area of ​​the falling waveform from the area of ​​the over-limit waveform to obtain the net area difference value representing the absolute net upward overflow potential energy. At the same time, the area of ​​the over-limit waveform and the area of ​​the falling waveform are added together to obtain the total area that characterizes the overall hydraulic intensity of the single-cycle alternating waveform; The ratio of the net area difference to the total area is calculated and defined as the waveform skewness characteristic that reflects the evolution trend of physical water level.

[0026] Example 2

[0027] Please see Figure 1 As shown, a three-color audible and visual graded alarm control method for sedimentation tank water level includes the following steps: S30: Perform steady-state convergence verification on waveform skewness characteristics, identify symmetrical oscillation segments with the over-limit waveform area and the falling waveform area, and mark the standing wave interference flag; trigger alarm lockout logic based on the standing wave interference flag to obtain the freeze command for the three-color audible and visual alarm device indication status; The process of performing steady-state convergence testing on waveform skewness characteristics, identifying symmetrical oscillation segments with the areas of waveforms exceeding limits and those falling back, and marking standing wave interference is as follows: Preferably, the controller establishes a sliding decision window based on time sequence in its internal register, and pushes the waveform skew characteristics of multiple alternating cycles obtained by continuous calculation into the sliding decision window in sequence; The controller adds up the absolute values ​​of all waveform skewness characteristics within the sliding decision window to obtain the absolute fluctuation base that characterizes the total water surface surge intensity within the window time span. At the same time, all waveform skewness features within the sliding judgment window are algebraically summed with their own positive and negative signs to obtain the net deviation cumulative value that characterizes the unidirectional overflow trend of water. The ratio of the absolute value of the net deviation accumulation to the absolute volatility base is calculated to obtain a skewed convergence coefficient for quantifying volatility symmetry. It should be noted that the physical meaning of the skewed convergence coefficient is that if there is a physical standing wave on the water surface, the energy of its upward overflow and downward pullback will cancel each other out on the time axis. At this time, the net deviation accumulation value approaches zero, resulting in the skewed convergence coefficient showing a weak bottom-level convergence state. However, due to the complexity of the fluid dynamics of the water surface, the convergence state is not a static constant value, but rather a dynamic fluctuation within a very small range. As time progresses, the controller continuously records the skewed convergence coefficients calculated after each sliding update of the sliding decision window, constructing a convergence coefficient evolution sequence based on the time axis. The controller extracts the skewed convergence coefficient at the current moment and calculates the difference between it and the historical skewed convergence coefficient at the previous moment to obtain the relative evolution gradient characterizing the direction of the fluctuation state evolution. The relative evolution gradients calculated over multiple consecutive update cycles are subjected to sign extraction. The specific numerical values ​​are removed, and only the mathematical positive and negative signs are retained to construct a gradient polarity sequence composed of positive and negative signs arranged in sequence. It should be noted that if a real physical rise in water level occurs in the sedimentation tank, the energy deviation has a definite unidirectional physical driving force, which will cause the skewed convergence coefficient to show a continuous monotonically increasing trend, and the positive and negative signs in the corresponding gradient polarity sequence will show consecutive same signs (e.g. consecutive positive signs). The controller performs an alternation law tracking test on the gradient polarity sequence and counts the number of times the positive and negative signs in the sequence are flipped. The controller establishes a polarity oscillation determination rule, inputting the number of times the positive and negative signs in the sequence are flipped into the polarity oscillation determination rule to obtain the determination result of whether the system is in a symmetrical oscillation state; If the positive and negative signs in the gradient polarity sequence are identified as continuously alternating and reversing (i.e., the relative evolution gradient oscillates at high frequency between positive and negative), it indicates that the energy evolution of the current local water surface fluctuations has neither the continuous driving force for upward breakthrough nor the driving force for downward retreat, and the physical water body is completely trapped in a self-locking dead zone of undirected back-and-forth pulling. If it is in a continuous alternating reversal state, the system directly confirms from a physical logic perspective that the over-limit waveform and the falling waveform have undergone physical energy dynamic cancellation on the time scale based on the continuous alternating reversal state of the positive and negative signs, and determines that the current water surface fluctuation is a symmetrical oscillation state. And extract the time segment corresponding to the symmetrical oscillation state as the symmetrical oscillation segment; If the positive and negative signs in the gradient polarity sequence do not show a continuous alternation and reversal state, then the changes in the positive and negative signs in the gradient polarity sequence will be continuously monitored. Mark the symmetrical oscillation segment with a standing wave interference indicator; The method for obtaining the freeze command for the three-color audible and visual alarm device's indicated state based on the alarm lock logic triggered by the standing wave interference indicator is as follows: In some embodiments, after the controller obtains the standing wave interference flag, it activates the underlying state blocking mechanism of the internal control logic. Read the actual relay output state (e.g., constant green or alternating yellow-green state) of the three-color audible and visual alarm device at the moment before receiving the standing wave interference indicator, and define it as the safety reference state; It should be noted that when a physical standing wave occurs, the sensor hardware will continue to output high-frequency flashing drive pulses due to the high-frequency exceeding of the liquid level limit. Directly cutting off the power will cause the system to lose connection, while not intervening will cause mechanical fatigue damage to the relay. The alarm locking logic is executed as follows: the underlying flashing pulse signal directly generated by the high-frequency over-limit of the physical sensor is intercepted in the logic control loop, and the current high-frequency change state is forcibly overwritten by the safety reference state. By overriding the state to cut off the frequently alternating electrical actions, a freeze command is generated for the three-color audible and visual alarm device. This causes the external indicator lights and buzzers to shield themselves from the current physical high-frequency crossing illusion and maintain a stable indication state until the subsequent algorithm confirms the real rising water trend and then cancels the command.

[0028] S40: Perform periodic discrete analysis on the waveform skewness characteristics associated with the standing wave interference identifier to obtain the operating condition confidence level characterizing the water surface ripple pattern; perform interference stripping processing on the waveform skewness characteristics based on the operating condition confidence level to obtain an effective rising baseline, and generate an early warning recovery command containing the operating condition confidence level. Among them, the waveform skewness characteristics associated with the standing wave interference identifier are analyzed by periodic discrete analysis to obtain the working condition confidence level characterizing the water surface fluctuation law as follows: In some embodiments, after receiving the standing wave interference flag output in step S30, the controller extracts multiple consecutive waveform skew features within the time span corresponding to the standing wave interference flag. Calculate the average value of the M consecutive waveform skewness characteristics to obtain the skewness reference value within this time period; Preferably, M=10; Calculate the difference between the value of each waveform skewness feature and the skewness reference value to obtain the corresponding deviation difference; The sum of the absolute values ​​of all deviations is calculated to obtain the periodic dispersion, which characterizes the degree of local water surface undulation. It should be noted that the physical meaning of periodic dispersion is as follows: if the surge is caused by regularly operating mechanical equipment (such as a reflux pump), the fluctuation range of its waveform skewness characteristics is extremely small, and the periodic dispersion approaches zero; if it is caused by irregular fluid impact (such as sudden large-flow random discharge or pipeline cavitation), the waveform undergoes chaotic distortion, and the value of periodic dispersion increases sharply. The controller extracts the minimum floating-point precision value of its own underlying processor and defines it as a zero-compensation constant. The calculated periodic dispersion is added to the zero-prevention compensation constant to obtain the fault-tolerant dispersion base. It should be noted that the physical significance of setting the zero compensation constant is to prevent the underlying logic from crashing due to division overflow when the sedimentation tank is in a relatively stable, absolutely ideal standing wave state, resulting in zero period dispersion. The controller retrieves the internally stored ideal fluctuation reference value, which is the average value of the inherent periodic dispersion of the system under calibration conditions without external mechanical and fluid interference. Dividing the ideal fluctuation reference value by the fault-tolerant discrete base yields the operating condition confidence level, which is positively physically correlated with the field fluctuation pattern and mathematically prevents overflow. The method for performing interference stripping processing on waveform skewness characteristics based on operating condition confidence to obtain an effective rising baseline and generating a warning recovery command containing operating condition confidence is as follows: The controller reads the calculated confidence level of the operating condition and dynamically assigns the number of backtracking cycles for extracting historical data based on the numerical range in which the confidence level of the operating condition falls. The controller has a multi-level incrementing confidence judgment interval, and each judgment interval is configured with a corresponding absolute integer value as the extraction step size; The controller determines the specific judgment interval into which the confidence level of the current operating condition falls; If it falls into the high value range, it indicates that the water surface is subject to strong regular disturbance and the physical characteristics are pure. The controller assigns a smaller absolute integer value as the number of backtracking cycles, for example, extracting the waveform skewness characteristics of the last 3 alternating cycles to achieve the agility of the system response. If it falls into the low value range, it indicates that the water surface is subjected to strong disordered and chaotic interference. The controller assigns a larger absolute integer value as the number of backtracking cycles. For example, the waveform skewness characteristics of the last 15 alternating cycles can be extracted. The chaotic high-frequency spikes can be filtered out by lengthening the observation window. The controller extracts waveform skew feature sequences of corresponding lengths based on the dynamically assigned number of backtracking cycles. By continuously accumulating and summing all waveform skewness features within the waveform skewness feature sequence, the skewness integral value representing the net energy of unidirectional overflow is obtained. The controller reads the physical conversion coefficients pre-calibrated by the system. These physical conversion coefficients are the actual liquid level rise height constants corresponding to the unit skew integral values ​​obtained by the system under interference-free flood calibration tests. The controller multiplies the skew integral value by the physical conversion coefficient, transforming the skew integral value from dimensionless to length dimension, thus obtaining the effective climb scalar. The effective climb scalar is added to the critical scale value to obtain the effective climb baseline after filtering out chaotic artifacts. The controller monitors the evolution direction of the effective rise baseline. If the effective rise baseline shows a clear trend of monotonically increasing or monotonically decreasing, it confirms that the water body physical fluctuations have broken out of the standing wave self-locking state, and then generates an overstepping unlocking warning recovery command. The controller encapsulates the operating condition confidence level into the end of the warning recovery command message, completing the command flow to the next control level.

[0029] Example 3

[0030] like Figure 1 and Figure 2 As shown, a three-color audible and visual graded alarm control method for sedimentation tank water level includes the following steps: S50: The control boundary is evaluated for the confidence level of the working condition in the early warning recovery command to obtain the response mode identifier that characterizes the predicted authorization depth; based on the response mode identifier, the asymmetric limit constraint verification is performed on the effective climbing baseline to obtain the hierarchical drive command of the three-color audible and visual alarm device; The method for obtaining the response mode identifier characterizing the prediction authorization depth by evaluating the control boundary of the operating condition confidence level within the early warning recovery instruction is as follows: Preferably, after receiving the warning recovery command, the controller parses and extracts the operating condition confidence level carried at the end of the message; The controller allocates a historical state record queue in its internal memory to store the operating condition confidence levels for normal production periods over the past K (preferably K=30) natural days. The arithmetic mean of all values ​​in the historical state record queue is used to obtain the historical confidence base representing the benchmark of the daily stable state of the sedimentation tank. The controller calculates the difference between the extracted current operating condition confidence level and the historical confidence level base to obtain the confidence level offset. If the confidence offset is greater than zero (i.e., the current operating conditions are more regular than the historical average, and the water surface fluctuations are extremely clear), the controller grants the underlying algorithm the highest level of intervention authority, that is, grants an extremely deep prediction authorization depth, and generates an aggressive response mode identifier that represents the aggressive feedforward state. If the confidence offset is less than or equal to zero (i.e., the current operating conditions are more chaotic and disordered than the historical average, with a large number of sudden and uncontrollable fluid shocks), the controller restricts the early prediction authority of the underlying algorithm, that is, sets the prediction authorization depth to zero and generates a defensive response mode identifier that represents the conservative feedback state. The method for obtaining the hierarchical driving commands of the three-color audible and visual alarm device by performing asymmetric limit-crossing constraint verification on the effective climbing baseline based on the response mode identifier is as follows: If the controller receives an aggressive response mode flag, it performs a time-based dynamic prediction constraint check. Preferably, the time dimension constraint test is performed as follows: the controller extracts the effective climbing baseline value at the current moment and calculates the difference between it and the historical effective climbing baseline value recorded at the preset evaluation backtracking time point to obtain the baseline climbing displacement during this period. The physical rate of rise of the water body is obtained by removing the baseline rise position and taking the time difference between the current time and the assessment backtracking time point; The controller retrieves the preset highest-level alarm absolute physical red line for the sedimentation tank (e.g., 6.0-meter overflow line). Calculate the margin of the absolute physical redline value relative to the current effective ascent baseline value to obtain the remaining safety margin; The controller determines whether the physical rise rate is greater than zero. If the physical rise rate is greater than zero, it calculates the ratio of the remaining safe space to the physical rise rate to obtain the predicted overflow countdown when the water surface is about to touch the absolute physical red line. If the physical rise rate is less than or equal to zero, it determines that there is no risk of overflow, skips the countdown calculation, and maintains the safe baseline state. The controller will compare the predicted overflow countdown with the preset system safety emergency response time (e.g., 15 seconds); If the predicted overflow countdown is less than the safe emergency response time, even if the current effective climbing baseline value is only 5.5 meters (not yet reaching any physical alarm limit), the controller will determine that the prediction time constraint has been broken and directly generate the highest level of danger level driving command. If the predicted overflow countdown is greater than or equal to the safe emergency response time, it is determined that the prediction time constraint has not been broken. The system will not generate the highest danger level instruction without going through the proper levels, and will maintain the safety baseline state in step S30 until the effective climbing baseline value reaches the preset graded control physical limit. If the controller receives a retreat response mode identifier, then it performs a static physical constraint check based on the spatial dimension: Preferably, the method for performing static physical constraint verification based on the spatial dimension is as follows: S501, the controller forcibly blocks all the above-mentioned time countdown prediction calculation loops based on the climb rate and returns to the most basic position comparison logic; S502, the controller directly compares the effective rise baseline value with the preset graded control physical boundaries of the sedimentation tank in real time (e.g., 5.6-meter yellow line, 6.0-meter red line); It should be noted that the direct comparison method is as follows: to prevent chaotic surges from penetrating the preceding filtering logic and causing residual false alarms, the controller starts the space limit timer: when the effective climbing baseline value is detected to be greater than the control physical limit, and the limit-breaking state is maintained on the time axis, causing the cumulative duration of the space limit timer to exceed the preset physical backoff confirmation period (e.g., forcibly requiring continuous limit-breaking to be maintained for 10 seconds), it is determined that the physical space constraint has been broken, and then a graded drive instruction corresponding to the danger level is generated based on the specific limit crossed (yellow line or red line); The controller sends the generated hierarchical drive commands to the field three-color audible and visual alarm device via hardwiring or industrial communication bus, driving the internal relays to achieve constant lighting / flashing of different colored LED groups and associated sounding of the buzzer.

[0031] Example 4

[0032] Please see Figure 3 As shown, a three-color audible and visual graded alarm control system for sedimentation tank water level includes the following modules: Migration Analysis Module: Used to collect the liquid level sequence of the sedimentation tank and perform a truncation operation with the set critical scale to obtain an alternating waveform sequence consisting of alternating over-limit half-waves and retracement half-waves; perform depth migration analysis on the alternating waveform sequence and the critical scale to obtain the depth migration amount within a single cycle. The skewness extraction module is used to perform two-dimensional time-depth cumulative calculations on the residence time and depth offset of the over-limit half-wave and the back-falling half-wave to obtain the area of ​​the over-limit waveform and the area of ​​the back-falling waveform; and to perform asymmetric proportional calculations based on the areas of the over-limit and back-falling waveforms to obtain waveform skewness characteristics that reflect the evolution trend of physical water level. Command Freeze Module: Used to perform steady-state convergence verification on waveform skewness characteristics, identify symmetrical oscillation segments with the area of ​​waveforms exceeding the limit and the area of ​​waveforms falling back, and mark the standing wave interference flag; based on the standing wave interference flag, trigger alarm lock logic to obtain the freeze command of the three-color audible and visual alarm device indication status; Early warning and recovery module: It is used to perform periodic discrete analysis on the waveform skewness characteristics associated with the standing wave interference identifier to obtain the operating condition confidence level that characterizes the water surface wave pattern; based on the operating condition confidence level, it performs interference stripping processing on the waveform skewness characteristics to obtain an effective rising baseline and generates an early warning and recovery command that includes the operating condition confidence level. The hierarchical drive module is used to evaluate the control boundary of the operating condition confidence level in the early warning recovery command to obtain the response mode identifier that characterizes the predicted authorization depth; based on the response mode identifier, it performs asymmetric over-limit constraint verification on the effective climbing baseline to obtain the hierarchical drive command of the three-color audible and visual alarm device.

[0033] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A method for controlling the water level in a sedimentation tank using a three-color audible and visual graded alarm, characterized in that... Includes the following steps: The liquid level sequence of the sedimentation tank is collected and truncated with a set critical scale to obtain an alternating waveform sequence consisting of alternating over-limit half-waves and retracement half-waves; depth offset analysis is performed on the alternating waveform sequence and the critical scale to obtain the depth offset. By performing two-dimensional time-depth cumulative calculations on the dwell time and depth offset of the over-limit half-wave and the fallback half-wave, the areas of the over-limit waveform and the fallback waveform are obtained; based on the areas of the over-limit and the fallback waveform, the waveform skewness characteristics are obtained through asymmetric proportional calculation. The method for performing the asymmetric scaling is as follows: Obtain the net difference and total area of ​​the over-limit waveform area and the fallback waveform area; Calculate the ratio of the net area difference to the total area, and define the waveform skewness characteristic; Steady-state convergence test is performed on waveform skewness characteristics to identify symmetrical oscillation segments with the area of ​​the waveform exceeding the limit and the area of ​​the waveform falling back, and standing wave interference is marked; based on the standing wave interference mark, alarm locking logic is triggered to obtain the freeze command of the three-color audible and visual alarm device indication status. The method for obtaining the standing wave interference identifier is as follows: A sliding decision window is established, and the controller adds up the absolute values ​​of all waveform skewness characteristics within the sliding decision window to obtain the absolute fluctuation base. The net cumulative deviation value is obtained by algebraically summing all waveform skewness characteristics within the sliding judgment window. Calculate the ratio of the absolute value of the net deviation cumulative value to the absolute fluctuation base to obtain the skewed convergence coefficient, and calculate the relative evolution gradient between the skewed convergence coefficient at the current moment and the historical skewed convergence coefficient at the previous moment. The sign of the relative evolution gradient calculated over multiple consecutive update cycles is extracted, a gradient polarity sequence is constructed, and the number of times the positive and negative signs in the sequence are flipped is counted. The controller establishes a polarity oscillation determination rule, inputting the number of times the positive and negative signs switch to the polarity oscillation determination rule to obtain the determination result of whether the system is in a symmetrical oscillation state; The time segments corresponding to the symmetrical oscillation state are extracted and used as symmetrical oscillation segments, and standing wave interference is marked. Periodic discrete analysis is performed on the waveform skewness characteristics associated with the standing wave interference identifier to obtain the operating condition confidence level; based on the operating condition confidence level, interference stripping processing is performed on the waveform skewness characteristics to obtain an effective rising baseline, and an early warning recovery command is generated.

2. The three-color audible and visual graded alarm control method for sedimentation tank water level according to claim 1, characterized in that: The depth migration analysis is performed as follows: Extreme point tracing processing is performed on the alternating waveform sequence to obtain the peak point of the over-limit half wave and the trough point of the falling half wave; Subtract the set value of the critical scale from the real-time liquid level value corresponding to the peak point to obtain the depth offset of the peak relative to the critical scale. Subtract the real-time liquid level value corresponding to the trough point from the set value of the critical scale to obtain the depth offset of the trough relative to the critical scale.

3. The three-color audible and visual graded alarm control method for sedimentation tank water level according to claim 1, characterized in that: The method for obtaining the area of ​​the over-limit waveform and the area of ​​the fallback waveform is as follows: The dwell time of the over-limit half-wave on the time axis is divided into multiple equally spaced discrete time slices; Within each discrete time slice, the corresponding real-time liquid level value is extracted, and the difference between the real-time liquid level value and the critical scale is calculated to obtain the depth offset. Multiply the time span of each discrete-time slice by the corresponding slice depth offset to obtain the micro-area of ​​a single slice; The area of ​​the waveform exceeding the limit is obtained by summing the areas of the infinitesimal elements of all discrete-time slices within the half-wave exceeding the limit. Using the same time-slice division and multiplication-accumulation method, the differences between all real-time liquid level values ​​and critical scale values ​​within the fallback half-wave are processed and summed sequentially to obtain the fallback waveform area.

4. The three-color audible and visual graded alarm control method for sedimentation tank water level according to claim 1, characterized in that: The alarm locking logic is triggered in the following way: Read the actual relay output state of the three-color audible and visual alarm device at the moment before receiving the standing wave interference indicator, and define it as the safety reference state; In the logic control loop, intercept the underlying flicker pulse signal directly generated by the high-frequency over-limit of the physical sensor, and use the safety reference state to forcibly cover the current high-frequency change state; By overriding the state to cut off frequently alternating electrical actions, a freeze command is generated for the three-color audible and visual alarm device.

5. The three-color audible and visual graded alarm control method for sedimentation tank water level according to claim 1, characterized in that: The confidence level of the aforementioned operating condition is obtained as follows: Obtain the skewness reference value within the time period, calculate the difference between the value of each waveform skewness feature and the skewness reference value, and obtain the corresponding deviation difference; The periodic dispersion is obtained by summing the absolute values ​​of all deviations. The controller extracts the minimum floating-point precision value of its own underlying processor and defines it as a zero-compensation constant. The calculated periodic dispersion is added to the zero-prevention compensation constant to obtain the fault-tolerant dispersion base. The controller retrieves the internally stored ideal fluctuation reference value; The operating condition confidence level is obtained by calculating the ratio of the ideal fluctuation reference value to the fault-tolerant discrete base.

6. The three-color audible and visual graded alarm control method for sedimentation tank water level according to claim 1, characterized in that: Also includes: The control boundary is evaluated for the confidence level of the operating conditions within the early warning recovery command to obtain the response mode identifier characterizing the depth of the prediction authorization; Based on the response mode identifier, an asymmetric limit-crossing constraint check is performed on the effective climbing baseline to obtain the hierarchical driving command of the three-color audible and visual alarm device.

7. The three-color audible and visual graded alarm control method for sedimentation tank water level according to claim 6, characterized in that: The method for performing the out-of-bounds constraint check is as follows: Extract the effective climbing baseline value at the current moment and calculate the baseline climbing displacement relative to the preset evaluation backtracking time point; The rate of change of the baseline climb displacement over the time span between the current moment and the evaluation backtracking point is calculated to obtain the physical climb rate; The highest-level alarm absolute physical red line of the sedimentation tank is read from the controller, and overflow prediction is performed by combining the physical rise rate to obtain the predicted overflow countdown; The controller compares the predicted overflow countdown with the preset system safety emergency response time, and formulates different drive commands based on the comparison results.

8. The three-color audible and visual graded alarm control method for sedimentation tank water level according to claim 7, characterized in that: The method for performing the overflow prediction is as follows: Calculate the margin of the absolute physical redline value relative to the current effective ascent baseline value to obtain the remaining safety margin; The ratio of the remaining safe space to the physical rate of ascent is calculated to obtain the predicted flood countdown before the water surface touches the absolute physical red line.

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