Laser level gauge level monitoring method and system based on transceiving integrated measurement

Abstract

The present application relates to the technical field of laser ranging, and proposes a laser level gauge level monitoring method and system based on integrated transmission and reception measurement, which comprises: extracting the time domain characteristics of the echo signal of the laser level gauge, generating an initial ranging based on the effective echo peak value; combining a dynamic amplitude reference benchmark to obtain an effective ranging through weighted screening; building a multi-dimensional timestamp sliding window and carrying out trend consistency analysis to obtain a stable ranging; comparing the real-time temperature with the calibration benchmark to obtain a temperature compensation factor, and nonlinearly correcting the stable ranging to obtain an actual laser ranging value; calculating the ranging change rate and dynamically adjusting the alarm return difference range; finally, structuring and packaging each data to generate comprehensive monitoring information; the present application can improve the efficiency of laser level gauge level monitoring based on integrated transmission and reception measurement.

Description

Technical Field

[0001] This invention relates to the field of laser ranging technology, and in particular to a laser level meter level monitoring method and system based on integrated transceiver measurement. Background Technology

[0002] Laser level gauges, with their non-contact, large measuring range, rapid response, and high measurement accuracy, are widely used in numerous industrial fields such as petrochemicals, grain storage, water conservancy, mining, and gas holders. In various dry and wet gas holder scenarios, they primarily perform critical tasks such as holder position detection, piston balancing, tilting, drift, and torsion monitoring. However, during actual operation of gas holders, factors such as dust and airflow can interfere with the laser echo signal, causing discrete deviations in the original ranging data. Furthermore, the constantly changing ambient temperature further amplifies the measurement error. Fixed alarm hysteresis parameters cannot keep up with the dynamic changes in the gas holder's piston movement and displacement, making it difficult for the monitoring data to accurately reflect the equipment's operating status.

[0003] Traditional monitoring methods lack a systematic signal processing, data verification, and dynamic compensation system. This makes them ineffective at filtering out on-site interference signals and unable to accurately correct for temperature effects. Alarm parameters remain statically set, making them unsuitable for the diverse operating conditions of gas holders, thus limiting the overall reliability and practicality of the equipment. Therefore, improving the measurement accuracy, data stability, and adaptability of laser level gauges has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a laser level gauge method and system for level monitoring based on integrated transceiver measurement, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a laser level gauge level monitoring method based on integrated transceiver measurement, comprising: D1. Extract time-domain features from the echo signal of the laser level instrument to obtain the mixed peak sequence of the laser level instrument, and generate the initial ranging of the laser level instrument based on the effective echo peak in the mixed peak sequence. D2. Based on the initial ranging, determine the dynamic amplitude reference benchmark of the laser level instrument, and based on the dynamic amplitude reference benchmark, perform confidence-weighted screening on the initial ranging to obtain the effective ranging of the laser level instrument. D3. Perform dynamic window mapping on the effective distance measurement to obtain a multi-dimensional timestamp sliding window of the effective distance measurement, and perform trend consistency analysis on the data within the multi-dimensional timestamp sliding window to obtain the stable distance measurement of the laser level instrument. D4. Compare the real-time temperature data of the laser level instrument with the preset benchmark calibration temperature to obtain the temperature compensation factor of the laser level instrument, and perform nonlinear correction on the stable ranging based on the temperature compensation factor to obtain the actual laser ranging value of the laser level instrument. D5. Based on the continuous time-series data of the actual laser ranging value, calculate the ranging change rate of the actual laser ranging value, and adjust the alarm hysteresis range of the laser level instrument according to the ranging change rate. D6. The actual laser ranging value, the ranging change rate, and the alarm hysteresis range are structured and encapsulated to obtain the comprehensive monitoring information of the laser level instrument.

[0006] In a preferred embodiment, the step of extracting time-domain features from the echo signal of the laser level instrument to obtain a mixed peak sequence of the laser level instrument, and generating an initial ranging of the laser level instrument based on the effective echo peaks in the mixed peak sequence, includes: The echo signal from the laser level instrument is received, and the echo signal is dynamically baseline-calibrated to obtain the standard time-domain waveform of the echo signal. Full peak capture is performed on the standard time-domain waveform to obtain the mixed peak sequence of the laser level instrument, which includes effective echo peaks and noise interference peaks; Temporal clutter removal is performed on the mixed peak sequence to obtain the effective echo peak value of the laser level instrument; The effective echo peak value is analyzed in the time domain to obtain the flight time parameter of the effective echo peak value; The initial ranging of the laser level instrument is generated based on the flight time parameters.

[0007] In a preferred embodiment, the step of determining the dynamic amplitude reference benchmark of the laser level instrument based on the initial ranging, and performing confidence-weighted screening on the initial ranging based on the dynamic amplitude reference benchmark to obtain the effective ranging of the laser level instrument includes: The initial ranging is evaluated using discrete quantization to obtain a probability histogram of the initial ranging. The peak main cluster center of the probability histogram is located to obtain the dynamic amplitude reference benchmark of the laser level instrument. Based on the dynamic amplitude reference benchmark, the initial ranging is measured by deviation distance to obtain the deviation coefficient of the initial ranging. Based on the deviation coefficient, a nonlinear confidence mapping is performed on the initial ranging to obtain the weighting factor of the initial ranging; Based on the weighting factor, the initial ranging is weighted and filtered to obtain the effective ranging of the laser level instrument.

[0008] In a preferred embodiment, the weighting factor is calculated using the following formula: ; in, For the initial ranging Each weighting factor For the initial ranging A deviation coefficient, The total number of initial ranging data points. This refers to the set of frequency values ​​in the probability histogram. This is the cumulative sum of the deviation coefficients.

[0009] In a preferred embodiment, the step of dynamically window-mapping the effective ranging to obtain a multi-dimensional timestamp sliding window for the effective ranging includes: Perform a time-series index association on the effective ranging to obtain the ranging time-series data stream of the effective ranging; The effective ranging sliding window is determined based on the data update frequency of the ranging time-series data stream, and the sliding window includes a span step size and a window capacity. Based on the span step size and the window capacity, the ranging time series data stream is cyclically shifted and mapped to obtain a complete local spatiotemporal slice of the effective ranging. The complete local spatiotemporal slice is reorganized according to its temporal dimensions to obtain the multidimensional timestamp sliding window for effective ranging.

[0010] In a preferred embodiment, the step of performing trend consistency analysis on the data within the multidimensional timestamp sliding window to obtain the stable ranging of the laser level instrument includes: Local slope extraction is performed on the data within the multidimensional timestamp sliding window to obtain the directional discrete trend vector of the multidimensional timestamp sliding window. Perform a direction consistency check on the discrete trend vector to obtain the trend synchronization status identifier within the multi-dimensional timestamp sliding window; When the trend synchronization status identifiers are consistent, the data is retained; when the trend synchronization status identifiers are inconsistent, the data in the current multidimensional timestamp sliding window is corrected by abnormal interpolation based on the historical data sequence to obtain the corrected distance measurement of the laser level instrument. By integrating the data retained when the corrected distance measurement matches the trend synchronization status indicator, the stable distance measurement of the laser level instrument is obtained.

[0011] In a preferred embodiment, comparing the real-time temperature data of the laser level instrument with a preset reference calibration temperature to obtain a temperature compensation factor for the laser level instrument, and performing nonlinear correction on the stable ranging based on the temperature compensation factor to obtain the actual laser ranging value of the laser level instrument, includes: Based on the preset benchmark calibration temperature, the temperature difference deviation of the real-time temperature data of the laser level instrument is quantified to obtain the temperature compensation factor of the laser level instrument. The range of the stable ranging is divided into intervals to obtain the ranging sub-intervals of the stable ranging. Based on the temperature compensation factor, the distance measurement sub-interval is adjusted and weighted to obtain the differential compensation coefficient of the distance measurement sub-interval. Based on the differential compensation coefficient, a piecewise nonlinear mapping is performed on the stable ranging to obtain the actual laser ranging value of the laser level instrument.

[0012] In a preferred embodiment, the step of calculating the ranging change rate of the actual laser ranging value based on continuous time-series data of the actual laser ranging value, and adjusting the alarm hysteresis range of the laser level instrument according to the ranging change rate, includes: By performing change analysis on the continuous time-series data of the actual laser ranging value, the ranging change rate of the actual laser ranging value is obtained; Based on a preset basic hysteresis threshold, the ranging change rate is dynamically and elastically scaled to obtain the alarm hysteresis adjustment coefficient of the laser level instrument. Based on the alarm hysteresis adjustment coefficient, the initial alarm range of the laser level instrument is reconstructed by boundary expansion to obtain the alarm hysteresis range of the laser level instrument.

[0013] In a preferred embodiment, the formula for calculating the ranging change rate is as follows: ; in, The current moment of the range change rate rate of change The rate of change of the ranging rate at the previous moment. The current time of the actual laser ranging value Laser ranging value, The laser ranging value is the laser ranging value at the previous moment before the actual laser ranging value. It represents the time difference between the current moment and the previous moment. This is a preset smoothing decay factor.

[0014] To address the aforementioned problems, this invention also provides a laser level gauge level monitoring system based on integrated transceiver measurement, the system comprising: The initial ranging generation module is used to extract time-domain features from the echo signal of the laser level instrument to obtain the mixed peak sequence of the laser level instrument, and generate the initial ranging of the laser level instrument based on the effective echo peak in the mixed peak sequence. The dynamic reference confidence weighted filtering module is used to determine the dynamic amplitude reference reference of the laser level instrument based on the initial ranging, and to perform confidence weighted filtering on the initial ranging based on the dynamic amplitude reference reference to obtain the effective ranging of the laser level instrument. The trend consistency analysis module is used to perform dynamic window mapping on the effective ranging to obtain a multi-dimensional timestamp sliding window of the effective ranging, and to perform trend consistency analysis on the data within the multi-dimensional timestamp sliding window to obtain the stable ranging of the laser level instrument. The temperature compensation correction module is used to compare the real-time temperature data of the laser level instrument with the preset benchmark calibration temperature to obtain the temperature compensation factor of the laser level instrument, and based on the temperature compensation factor, to perform nonlinear correction on the stable ranging to obtain the actual laser ranging value of the laser level instrument. The hysteresis dynamic adjustment module is used to calculate the ranging change rate of the actual laser ranging value based on the continuous time-series data of the actual laser ranging value, and adjust the alarm hysteresis range of the laser level instrument according to the ranging change rate. The integrated monitoring information encapsulation module is used to encapsulate the actual laser ranging value, the ranging change rate, and the alarm hysteresis range in a structured manner to obtain the integrated monitoring information of the laser level instrument.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention extracts time-domain features, removes clutter, and performs confidence-weighted filtering on laser echo signals. Combined with multi-dimensional sliding window and trend consistency analysis to optimize data quality, and piecewise nonlinear temperature compensation to eliminate errors caused by temperature variations, it can continuously output high-precision and high-stability ranging data. It fully leverages the advantages of laser level gauges—small beam angle, wide ranging range, and non-contact measurement—to accurately monitor the position of gas holders, piston tilt, drift, and torsion, while also being adaptable to complex field environments such as explosion-proof and high / low temperature environments.

[0016] 2. This invention dynamically adjusts the alarm hysteresis range by controlling the real-time rate of change of the level, achieving adaptive adjustment of alarm parameters and effectively reducing false alarms and missed alarms. It integrates and outputs information such as ranging values, rate of change, and alarm parameters in a structured manner. Combined with the equipment's built-in multi-type signal output function, it can seamlessly connect to the central control system, allowing staff to monitor the overall operating status of the gas holder in real time, comprehensively enhancing the gas holder's operational safety and monitoring intelligence. Attached Figure Description

[0017] Figure 1 This is a schematic flowchart of a laser level gauge level monitoring method based on integrated transceiver measurement according to an embodiment of the present invention; Figure 2 This is a functional block diagram of a laser level gauge level monitoring system based on integrated transceiver measurement according to an embodiment of the present invention; The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] This application provides a laser level gauge level monitoring method based on transceiver integrated measurement. The execution entity of the laser level gauge level monitoring method based on transceiver integrated measurement includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application embodiment: a server, a terminal, etc. In other words, the laser level gauge level monitoring method based on transceiver integrated measurement can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0020] Reference Figure 1 The diagram shown is a flowchart illustrating a laser level gauge level monitoring method based on integrated transceiver measurement according to an embodiment of the present invention. In this embodiment, the laser level gauge level monitoring method based on integrated transceiver measurement includes: D1. Extract time-domain features from the echo signal of the laser level instrument to obtain the mixed peak sequence of the laser level instrument, and generate the initial ranging of the laser level instrument based on the effective echo peak in the mixed peak sequence. In this embodiment of the invention, the step of extracting time-domain features from the echo signal of the laser level instrument to obtain a mixed peak sequence of the laser level instrument, and generating an initial ranging of the laser level instrument based on the effective echo peaks in the mixed peak sequence, includes: The echo signal from the laser level instrument is received, and the echo signal is dynamically baseline-calibrated to obtain the standard time-domain waveform of the echo signal. Full peak capture is performed on the standard time-domain waveform to obtain the mixed peak sequence of the laser level instrument, which includes effective echo peaks and noise interference peaks; Temporal clutter removal is performed on the mixed peak sequence to obtain the effective echo peak value of the laser level instrument; The effective echo peak value is analyzed in the time domain to obtain the flight time parameter of the effective echo peak value; The initial ranging of the laser level instrument is generated based on the flight time parameters.

[0021] The equipment continuously acquires the echo signal transmitted from the laser level gauge. To address the baseline offset of the original echo signal, a moving average adaptive baseline calibration algorithm is used to acquire the signal level value in the time domain point by point. The baseline sampling window is set to 20 sampling points, and the calibration period is consistent with the signal sampling period with a standard value of 10μs. The entire signal is shifted and corrected according to a unified level reference to eliminate the waveform distortion caused by the signal baseline offset, fully preserve the original waveform shape and time domain variation characteristics of the signal, and finally output a regular time domain waveform that conforms to the unified level standard.

[0022] Peak position retrieval is performed segment by segment along the time domain direction of the standard time domain waveform to fully capture all positions where peak changes occur within the waveform. All retrieved peaks are arranged in order of their appearance to form a hybrid peak sequence. This sequence fully includes the effective echo peaks formed by the reflection of the real target, as well as the noise interference peaks generated by the on-site environment.

[0023] To distinguish peaks with different attributes within a mixed peak sequence, a dual rule of time-domain interval constraint and amplitude constraint is set based on the time-domain distribution pattern of the echo signal in the actual measurement scenario to remove time-domain clutter. Only peaks within the time-domain interval corresponding to the theoretical flight time of the laser are retained, while weak noise peaks with amplitudes less than 10% of the full scale of the signal are removed. After screening, all noise interference peaks in the sequence are completely removed, leaving only effective echo peaks that can truly reflect the distance information of the measured target.

[0024] Locate the specific time node corresponding to each effective echo peak in the standard time domain waveform, and use the laser emission time as the starting reference point to calculate the time taken for the laser signal to travel from emission to reception of the corresponding effective echo peak. In this way, determine the flight time parameter corresponding to each set of effective echo peaks, and record all the flight time parameters obtained from the analysis.

[0025] Based on the established flight time parameters and the fixed propagation characteristics of laser in the air, distance is calculated. Using the standard laser ranging formula, the calculation is completed according to the correspondence between flight time and propagation distance, and the distance value currently detected by the laser level instrument is accurately obtained, thereby generating the initial ranging required by the equipment.

[0026] The beneficial effects are that the entire processing flow can comprehensively correct the waveform deviation of the laser echo signal, accurately distinguish and eliminate noise interference signals from the environment, and complete the time-of-flight analysis and distance conversion based on real and effective signal characteristics. This improves the purity and accuracy of the initial ranging from the signal source, reduces the impact of complex on-site working conditions on the laser ranging results, and provides reliable raw data support for subsequent multi-level data screening, correction and analysis, ensuring that the laser level meter can stably output basic ranging data in various industrial monitoring scenarios.

[0027] D2. Based on the initial ranging, determine the dynamic amplitude reference benchmark of the laser level instrument, and based on the dynamic amplitude reference benchmark, perform confidence-weighted screening on the initial ranging to obtain the effective ranging of the laser level instrument. In this embodiment of the invention, the step of determining the dynamic amplitude reference benchmark of the laser level instrument based on the initial ranging, and performing confidence-weighted screening on the initial ranging based on the dynamic amplitude reference benchmark to obtain the effective ranging of the laser level instrument includes: The initial ranging is evaluated using discrete quantization to obtain a probability histogram of the initial ranging. The peak main cluster center of the probability histogram is located to obtain the dynamic amplitude reference benchmark of the laser level instrument. Based on the dynamic amplitude reference benchmark, the initial ranging is measured by deviation distance to obtain the deviation coefficient of the initial ranging. Based on the deviation coefficient, a nonlinear confidence mapping is performed on the initial ranging to obtain the weighting factor of the initial ranging; Based on the weighting factor, the initial ranging is weighted and filtered to obtain the effective ranging of the laser level instrument.

[0028] The formula for calculating the weighting factor is as follows: ; in, For the initial ranging Each weighting factor For the initial ranging A deviation coefficient, The total number of initial ranging data points. This refers to the set of frequency values ​​in the probability histogram. This is the cumulative sum of the deviation coefficients.

[0029] Collect all generated initial ranging data, define continuous and equal numerical intervals according to the equal interval division rule, with a standard interval step size of 0.5mm, classify each initial ranging value into the corresponding interval range, count the number of initial ranging samples contained in each numerical interval, and then plot the graph with the numerical interval as the horizontal axis and the corresponding number of samples as the vertical axis to fully present the overall distribution pattern and discrete characteristics of all initial ranging data, and finally generate a complete and standardized probability histogram of initial ranging.

[0030] All peak regions exhibiting a convex shape within the probability histogram are comprehensively scanned. The DBSCAN density clustering algorithm is used to perform cluster analysis, with the algorithm's neighborhood radius set to one histogram interval and the minimum number of sample points set to 5. The sample cluster size corresponding to each peak is identified one by one, and the core peak with the largest number of samples and the widest data cluster range is selected. Cluster analysis is then carried out around all the data covered by this core peak to accurately locate the core center point of the entire data distribution. The distance measurement value corresponding to this center point is officially set as the dynamic amplitude reference benchmark for the laser level instrument.

[0031] Using the established dynamic amplitude reference benchmark as a unified comparison standard, each initial ranging data is retrieved sequentially, and the difference between the initial ranging value and the dynamic amplitude reference benchmark value is calculated item by item. The deviation of each data point from the benchmark value is objectively determined based on the magnitude of the difference. The deviation is quantified and identified according to the unified judgment rules, and a deviation degree coefficient corresponding to each initial ranging value is generated.

[0032] Combining the deviation coefficient corresponding to each initial ranging measurement, confidence mapping is performed according to a preset nonlinear transformation logic. The preset nonlinear transformation logic is a composite function rule designed based on the distribution characteristics of on-site interference data and anti-interference requirements. It is composed of a square inverse nonlinear term and a natural exponential decay nonlinear term. The deviation coefficient of a single data point, the sum of deviation coefficients of all data points, and the maximum frequency of the probability histogram are used as input parameters. The deviation degree is transformed by gradient through two levels of nonlinear operations, and finally, weight factors with differentiated values ​​are output, completing the mapping from deviation features to confidence weights. Ranging data with different deviation degrees will be matched with different confidence levels. Various confidence levels are converted into numerical forms with computational attributes, so that data with different deviation states have differentiated weight proportions. The weight factor corresponding to each initial ranging measurement is calculated and generated one by one.

[0033] All data used to calculate the rate of change of distance are obtained sequentially from the actual laser ranging value processing flow. During the operation of the equipment, two sets of actual laser ranging values ​​at adjacent moments are collected at fixed time intervals. The time difference between the two collection moments is the fixed collection interval duration. The rate of change data that has been calculated and stored at the previous moment will be directly retrieved and used. A smoothing attenuation factor of a fixed size is set in advance according to the on-site working conditions. All kinds of data obtained from the above collection, retrieval and preset are used as the basic data for calculation.

[0034] This calculation process integrates logarithmic operations, difference operations, division operations, and linear weighted operations to achieve real-time rate solving. It should be noted that all distance values ​​in this embodiment... All values ​​have been dimensionless before being substituted into the formula, i.e., divided by the unit length of 1 meter. Therefore, the values ​​in the formula are dimensionless. As the values ​​are dimensionless, subsequent ratio calculations do not involve dimensional conflicts. The overall calculation process is used to accurately characterize the dynamic change rate of the actual laser ranging value under continuous time sequence. At the same time, it uses historical change rates to smooth and correct the current calculation results, avoiding errors in rate judgment caused by measurement fluctuations at a single moment. The calculated results can intuitively reflect the rise and fall rate of the laser level gauge, providing a core reference for the dynamic adjustment of the alarm hysteresis range.

[0035] As the difference between the actual laser ranging values ​​at two adjacent moments increases, the intermediate result after logarithmic and division operations will increase accordingly, and the final calculation result obtained after linear weighting will also increase synchronously. Conversely, as the difference between the actual laser ranging values ​​at two adjacent moments decreases, the intermediate result after logarithmic and division operations will decrease accordingly, and the final calculation result obtained after linear weighting will also decrease synchronously. The smoothing attenuation factor remains a fixed value and does not change. During the calculation process, the units of time-related values ​​are unified to time units, the units of rate-related values ​​are unified to rate units, and the overall dimensions remain consistent.

[0036] Each initial distance measurement is associated with its matching weight factor. All initial distance measurements are weighted and stratified according to the proportion rule of the weight factor. This greatly reduces the impact of data with high deviation and low confidence on the overall result, retains high-quality distance measurement data with concentrated data distribution and close to the actual measurement conditions, and integrates and summarizes the filtered data to finally obtain the effective distance measurement of the laser level instrument.

[0037] The beneficial effects are that this process can comprehensively analyze the data distribution and discrete characteristics of the initial ranging, establish a dynamic measurement reference standard based on the aggregation characteristics of big data, accurately quantify the deviation of individual data and assign differentiated weights, and remove abnormal data caused by interference through weighted filtering, which greatly reduces the data deviation caused by random interference, so that the effective ranging can truly reflect the actual state of the object on site, continuously improve the overall quality of ranging data, and provide accurate and stable basic data support for subsequent processing links such as time series trend analysis and temperature compensation correction.

[0038] D3. Perform dynamic window mapping on the effective distance measurement to obtain a multi-dimensional timestamp sliding window of the effective distance measurement, and perform trend consistency analysis on the data within the multi-dimensional timestamp sliding window to obtain the stable distance measurement of the laser level instrument. In this embodiment of the invention, the step of dynamically mapping the effective ranging to obtain a multi-dimensional timestamp sliding window for the effective ranging includes: Perform a time-series index association on the effective ranging to obtain the ranging time-series data stream of the effective ranging; The effective ranging sliding window is determined based on the data update frequency of the ranging time-series data stream, and the sliding window includes a span step size and a window capacity. Based on the span step size and the window capacity, the ranging time series data stream is cyclically shifted and mapped to obtain a complete local spatiotemporal slice of the effective ranging. The complete local spatiotemporal slice is reorganized according to its temporal dimensions to obtain the multidimensional timestamp sliding window for effective ranging.

[0039] The step of performing trend consistency analysis on the data within the multidimensional timestamp sliding window to obtain stable ranging of the laser level instrument includes: Local slope extraction is performed on the data within the multidimensional timestamp sliding window to obtain the directional discrete trend vector of the multidimensional timestamp sliding window. Perform a direction consistency check on the discrete trend vector to obtain the trend synchronization status identifier within the multi-dimensional timestamp sliding window; When the trend synchronization status identifiers are consistent, the data is retained; when the trend synchronization status identifiers are inconsistent, the data in the current multidimensional timestamp sliding window is corrected by abnormal interpolation based on the historical data sequence to obtain the corrected distance measurement of the laser level instrument. By integrating the data retained when the corrected distance measurement matches the trend synchronization status indicator, the stable distance measurement of the laser level instrument is obtained.

[0040] Each valid distance measurement is labeled with a corresponding time marker according to the order in which the data is generated. The valid distance measurements with time markers are then arranged and connected in sequence according to the time order, so that each distance measurement value is fixedly bound to the corresponding acquisition time, forming a continuous and uninterrupted distance measurement time-series data stream with clear temporal logic.

[0041] By continuously analyzing the overall rhythm of new data access and old data migration in the ranging time-series data stream, the overall data update frequency is determined. Based on this frequency, sliding window parameters are set to adapt to the current data operation status, the span step corresponding to a single window movement is determined, and the total amount of data that can be contained within the window, i.e., the window capacity, is defined, thus completing the sliding window parameter configuration work corresponding to effective ranging.

[0042] Using the set span step size and window capacity as the execution standard, a cyclic shift operation is performed on the overall ranging time series data stream. The data interception position is continuously moved according to the predetermined step size, and data content of a fixed capacity at different time periods is intercepted in sequence. The data segments intercepted each time are integrated and spliced ​​to completely cover the data content of all time periods during the window movement process, generating a complete local spatiotemporal slice of effective ranging.

[0043] The time dimension and ranging value dimension contained in the complete local spatiotemporal slice are decomposed. All data in the slice are rearranged and dimensionally divided according to the order of timestamps. The single-form data structure is transformed into a multi-dimensional combined data structure. Independent time dimension units and ranging value dimension units are divided and combined to form a multi-dimensional timestamp sliding window for effective ranging.

[0044] By sequentially selecting two adjacent sets of data within the multidimensional timestamp sliding window, and combining the time interval and the change in distance measurement values ​​corresponding to the two sets of data, the local change slope is calculated. The slope extraction work of all adjacent data sets within the window is completed one by one. The slopes calculated at each location are integrated and summarized according to the data arrangement order to fully present the overall change trend of the data within the window, thereby obtaining the directional discrete trend vector of the multidimensional timestamp sliding window.

[0045] The system compares the direction of change corresponding to each slope in the discrete trend vector item by item, and judges whether the direction of change of all data remains consistent. Based on the overall comparison results, the system classifies the corresponding state categories and uses exclusive marking content to distinguish between the two situations of synchronous data change and disordered data change. Finally, it generates a trend synchronization state label that can intuitively reflect the data operation status.

[0046] Check the trend synchronization status indicator corresponding to the current multi-dimensional timestamp sliding window. If the indicator shows that all data changes in a consistent direction, then all distance measurement data within the window will be directly retained. If the indicator shows that the data changes in a disordered direction, retrieve the normal historical data sequence previously stored by the device, and refer to the change pattern of the historical data to complete and correct the data for abnormal points in the current window, eliminating the abnormal problems caused by data mutations, and calculate the corrected distance measurement of the laser level meter.

[0047] Collect all normal ranging data that are directly retained with consistent trend synchronization status indicators, and summarize the corrected ranging data obtained after anomaly interpolation correction. The two types of data are uniformly organized and merged according to the original time sequence rules, duplicate data are removed and the overall data arrangement order is straightened out. After integration, the stable ranging of the laser level instrument is finally obtained.

[0048] The beneficial effects are that this processing method relies on time-series correlation and dynamic window technology to complete the structured reorganization of data, which can control the variation pattern of ranging data in a segmented manner over a long time series. By extracting the slope and verifying the consistency, it can accurately identify abnormal fluctuations in data, and use historical data to complete the correction of anomalies. This effectively eliminates the problem of data mutation caused by instantaneous interference, ensuring that the output of stable ranging is continuous, stable and close to the real trend of the body position change, providing highly stable data support for subsequent temperature compensation and alarm parameter adjustment.

[0049] D4. Compare the real-time temperature data of the laser level instrument with the preset benchmark calibration temperature to obtain the temperature compensation factor of the laser level instrument, and perform nonlinear correction on the stable ranging based on the temperature compensation factor to obtain the actual laser ranging value of the laser level instrument. In this embodiment of the invention, comparing the real-time temperature data of the laser level instrument with a preset reference calibration temperature to obtain the temperature compensation factor of the laser level instrument, and performing nonlinear correction on the stable ranging based on the temperature compensation factor to obtain the actual laser ranging value of the laser level instrument, includes: Based on the preset benchmark calibration temperature, the temperature difference deviation of the real-time temperature data of the laser level instrument is quantified to obtain the temperature compensation factor of the laser level instrument. The range of the stable ranging is divided into intervals to obtain the ranging sub-intervals of the stable ranging. Based on the temperature compensation factor, the distance measurement sub-interval is adjusted and weighted to obtain the differential compensation coefficient of the distance measurement sub-interval. Based on the differential compensation coefficient, a piecewise nonlinear mapping is performed on the stable ranging to obtain the actual laser ranging value of the laser level instrument.

[0050] The pre-set benchmark temperature of the equipment is retrieved as a reference standard. The benchmark temperature is set to 25°C. The ambient temperature data monitored during the operation of the laser level meter is collected in real time. The real-time temperature data is compared with the benchmark temperature, and the temperature difference between the two is calculated. The magnitude of the temperature difference and the overall temperature deviation from the benchmark are combined to complete the quantitative judgment. According to the established quantitative rules, the temperature difference characteristics are converted into corresponding numerical labels, thereby generating the temperature compensation factor of the laser level meter.

[0051] Based on the overall measurement range of the laser level gauge, all stable ranging data are divided into segments according to the uniform division rule. Multiple independent numerical intervals covering the entire range are defined according to the size boundary of the ranging value. Each stable ranging data is assigned to the corresponding interval. All the divided independent intervals together form the ranging sub-interval of stable ranging.

[0052] Using the generated temperature compensation factor as the core reference, an adaptation analysis was conducted for each ranging sub-interval. Combining the positional characteristics of different ranging sub-intervals within the full range and the degree of influence of temperature changes on the ranging results of different intervals, a corresponding correction weight was assigned to each ranging sub-interval. Different intervals obtained weight values ​​of varying magnitudes. Based on the assigned correction weights, the unique differential compensation coefficient for each ranging sub-interval was determined.

[0053] Based on the differential compensation coefficients corresponding to each ranging sub-interval, the stable ranging values ​​belonging to different sub-intervals are corrected one by one according to the nonlinear mapping rules. The ranging data in different intervals are adjusted according to their own compensation coefficients. No uniform linear correction standard is used throughout the process. The mapping transformation and numerical correction of all segmented data are completed, and the actual laser ranging value of the laser level instrument is finally obtained.

[0054] The beneficial effect is that this process generates a unique compensation factor by combining the difference between the actual temperature on site and the calibration reference temperature. Differentiated compensation coefficients are matched for different ranging intervals and piecewise nonlinear correction is implemented. This can accurately offset the error caused by changes in ambient temperature to laser ranging, take into account the measurement characteristics of different sections in the full range, and make the final output actual laser ranging value accurately match the actual level on site. This effectively improves the measurement accuracy and environmental adaptability of the laser level gauge under complex working conditions of high and low temperatures.

[0055] D5. Based on the continuous time-series data of the actual laser ranging value, calculate the ranging change rate of the actual laser ranging value, and adjust the alarm hysteresis range of the laser level instrument according to the ranging change rate. In this embodiment of the invention, the step of calculating the ranging change rate of the actual laser ranging value based on continuous time-series data of the actual laser ranging value, and adjusting the alarm hysteresis range of the laser level instrument according to the ranging change rate, includes: By performing change analysis on the continuous time-series data of the actual laser ranging value, the ranging change rate of the actual laser ranging value is obtained; Based on a preset basic hysteresis threshold, the ranging change rate is dynamically and elastically scaled to obtain the alarm hysteresis adjustment coefficient of the laser level instrument. Based on the alarm hysteresis adjustment coefficient, the initial alarm range of the laser level instrument is reconstructed by boundary expansion to obtain the alarm hysteresis range of the laser level instrument.

[0056] The formula for calculating the rate of change of the ranging is as follows: ; in, The current moment of the range change rate rate of change The rate of change of the ranging rate at the previous moment. The current time of the actual laser ranging value Laser ranging value, The laser ranging value is the laser ranging value at the previous moment before the actual laser ranging value. It represents the time difference between the current moment and the previous moment. This is a preset smoothing decay factor.

[0057] Complete time-series data of actual laser ranging values ​​are collected over a continuous period of time. The data are arranged in the order of data collection time, and the ranging values ​​corresponding to adjacent time nodes are compared one by one. The overall rate of change of the entire time-series data is judged by combining the time interval between adjacent nodes and the variation range of the ranging values. The change state is quantified according to a unified judgment standard to obtain the ranging change rate of the actual laser ranging values.

[0058] All data used to calculate the rate of change of ranging are obtained sequentially from the actual laser ranging value processing flow. During equipment operation, two sets of actual laser ranging values ​​at adjacent moments are collected at fixed time intervals. The time difference between the two collection moments is the fixed collection interval duration. The rate of change data calculated and stored at the previous moment is directly retrieved and used. A fixed smoothing attenuation factor is set in advance according to the site conditions. All data obtained from the above collection, retrieval, and preset are used as the basis for calculation. During equipment operation, two sets of actual laser ranging values ​​at adjacent moments are collected at fixed time intervals, with the time difference... The time is fixed at 100ms. The rate of change data that has been calculated and stored in the previous time step will be directly retrieved and used. Smoothing decay factor Value range 0 < <1, Engineering standard value =0.3, add anomaly protection for the rate formula: when ≤0 or When the value is ≤0, the historical rate is directly used. This avoids errors caused by meaningless logarithmic operations.

[0059] This calculation process integrates logarithmic operations, difference operations, division operations, and linear weighted operations to complete the real-time rate solution. The overall calculation process is used to accurately characterize the dynamic change rate of the actual laser ranging value under continuous time sequence. At the same time, it uses historical change rates to smooth and correct the current calculation results, avoiding rate judgment errors caused by measurement fluctuations at a single moment. The calculated results can intuitively reflect the rise and fall rate of the laser level gauge, providing a core reference for the dynamic adjustment of the alarm hysteresis range.

[0060] As the difference between the actual laser ranging values ​​at two adjacent moments increases, the intermediate result after logarithmic and division operations will increase accordingly, and the final calculation result obtained after linear weighting will also increase synchronously. Conversely, as the difference between the actual laser ranging values ​​at two adjacent moments decreases, the intermediate result after logarithmic and division operations will decrease accordingly, and the final calculation result obtained after linear weighting will also decrease synchronously. The smoothing attenuation factor remains a fixed value and does not change. During the calculation process, the units of time-related values ​​are unified to time units, the units of rate-related values ​​are unified to rate units, and the overall dimensions remain consistent.

[0061] The pre-set baseline hysteresis threshold is retrieved as a reference, with 2mm as the baseline. The current level change is determined by combining the calculated distance change rate. The baseline hysteresis threshold is then scaled according to the dynamic elastic adjustment rules. Different scaling ranges correspond to different level changes. The scaling result is converted into a dedicated adjustment value to generate the alarm hysteresis adjustment coefficient of the laser level gauge.

[0062] Retrieve the initial alarm range set at the factory and in the early stages of the laser level gauge, clarify the original upper and lower boundary values ​​of the range, use the alarm hysteresis adjustment coefficient as the adjustment basis, and extend or shrink the upper and lower boundaries of the initial alarm range according to the adjustment range corresponding to the adjustment coefficient, redefine the overall range and boundary position of the range, complete the overall reconstruction of the alarm range, and finally form the alarm hysteresis range of the laser level gauge that is adapted to the current working conditions.

[0063] The beneficial effects are that the process can capture the dynamic changes in the level in real time and adaptively adjust the alarm hysteresis based on the rate of change. It can flexibly change the alarm range according to different states of level rise and fall on site, effectively avoiding the false alarm and missed alarm problems that are easy to occur in the fixed hysteresis mode. This allows the alarm mechanism of the laser level gauge to accurately match the on-site operating conditions, further improving the safety monitoring capability and operational stability of the equipment in industrial scenarios such as gas holders.

[0064] D6. The actual laser ranging value, the ranging change rate, and the alarm hysteresis range are structured and encapsulated to obtain the comprehensive monitoring information of the laser level instrument.

[0065] In this embodiment of the invention, three types of data are extracted: the actual laser ranging value, the ranging change rate, and the alarm hysteresis range. These are then divided into independent data storage units according to the unified organizational standards for industrial monitoring data. Each type of data is assigned a unique identifier field and data storage location, clarifying the logical relationships and arrangement order between different data. Following a predetermined structural framework, the three types of data are sequentially filled into their corresponding units, standardizing the presentation format and arrangement order of each data item. This integrates scattered individual data items into a cohesive data group with a complete logical architecture, completing the structured encapsulation of all data and ultimately generating comprehensive monitoring information from the laser level meter that is complete in content and format.

[0066] The beneficial effects are that by integrating multiple core monitoring data into a unified information carrier through structured encapsulation, the organization and transmission format of the data are standardized. This facilitates the unified storage and retrieval of all monitoring parameters by local devices, and also enables smooth connection with external devices such as back-end central control systems and remote monitoring platforms. This achieves stable transmission and centralized display of monitoring data, allowing staff to fully grasp the measurement results, level change status, and alarm settings of the laser level gauge, thereby improving the data management efficiency and overall linkage performance of the entire monitoring system.

[0067] like Figure 2 The diagram shown is a functional block diagram of a laser level gauge level monitoring system based on integrated transceiver measurement provided in an embodiment of the present invention.

[0068] The laser level gauge level monitoring system 100 based on integrated transceiver measurement described in this invention can be installed in an electronic device. Depending on the functions implemented, the laser level gauge level monitoring system 100 may include an initial ranging generation module 101, a dynamic benchmark confidence weighted screening module 102, a trend consistency analysis module 103, a temperature compensation correction module 104, a hysteresis dynamic adjustment module 105, and a comprehensive monitoring information encapsulation module 106. The module described in this invention can also be called a unit, referring to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0069] In this embodiment, the functions of each module / unit are as follows: The initial ranging generation module 101 is used to extract time-domain features from the echo signal of the laser level instrument to obtain the mixed peak sequence of the laser level instrument, and generate the initial ranging of the laser level instrument based on the effective echo peak in the mixed peak sequence. The dynamic reference confidence weighted filtering module 102 is used to determine the dynamic amplitude reference reference of the laser level instrument based on the initial ranging, and to perform confidence weighted filtering on the initial ranging based on the dynamic amplitude reference reference to obtain the effective ranging of the laser level instrument. The trend consistency analysis module 103 is used to perform dynamic window mapping on the effective distance measurement to obtain a multi-dimensional timestamp sliding window of the effective distance measurement, and to perform trend consistency analysis on the data in the multi-dimensional timestamp sliding window to obtain the stable distance measurement of the laser level instrument. The temperature compensation correction module 104 is used to compare the real-time temperature data of the laser level instrument with the preset benchmark calibration temperature to obtain the temperature compensation factor of the laser level instrument, and based on the temperature compensation factor, to perform nonlinear correction on the stable ranging to obtain the actual laser ranging value of the laser level instrument. The hysteresis dynamic adjustment module 105 is used to calculate the ranging change rate of the actual laser ranging value based on the continuous time series data of the actual laser ranging value, and adjust the alarm hysteresis range of the laser level instrument according to the ranging change rate. The integrated monitoring information encapsulation module 106 is used to encapsulate the actual laser ranging value, the ranging change rate, and the alarm hysteresis range in a structured manner to obtain the integrated monitoring information of the laser level instrument.

[0070] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0071] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0072] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0073] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0074] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A laser level gauge method for level monitoring based on integrated transceiver measurement, characterized in that, The method includes: D1. Extract time-domain features from the echo signal of the laser level instrument to obtain the mixed peak sequence of the laser level instrument, and generate the initial ranging of the laser level instrument based on the effective echo peak in the mixed peak sequence. D2. Based on the initial ranging, determine the dynamic amplitude reference benchmark of the laser level instrument, and based on the dynamic amplitude reference benchmark, perform confidence-weighted screening on the initial ranging to obtain the effective ranging of the laser level instrument. D3. Perform dynamic window mapping on the effective distance measurement to obtain a multi-dimensional timestamp sliding window of the effective distance measurement, and perform trend consistency analysis on the data within the multi-dimensional timestamp sliding window to obtain the stable distance measurement of the laser level instrument. D4. Compare the real-time temperature data of the laser level instrument with the preset benchmark calibration temperature to obtain the temperature compensation factor of the laser level instrument, and perform nonlinear correction on the stable ranging based on the temperature compensation factor to obtain the actual laser ranging value of the laser level instrument. D5. Based on the continuous time-series data of the actual laser ranging value, calculate the ranging change rate of the actual laser ranging value, and adjust the alarm hysteresis range of the laser level instrument according to the ranging change rate. D6. The actual laser ranging value, the ranging change rate, and the alarm hysteresis range are structured and encapsulated to obtain the comprehensive monitoring information of the laser level instrument.

2. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 1, characterized in that, The step of extracting time-domain features from the echo signal of the laser level instrument to obtain a mixed peak sequence of the laser level instrument, and generating an initial ranging of the laser level instrument based on the effective echo peaks in the mixed peak sequence, includes: The echo signal from the laser level instrument is received, and the echo signal is dynamically baseline-calibrated to obtain the standard time-domain waveform of the echo signal. Full peak capture is performed on the standard time-domain waveform to obtain the mixed peak sequence of the laser level instrument, which includes effective echo peaks and noise interference peaks; Temporal clutter removal is performed on the mixed peak sequence to obtain the effective echo peak value of the laser level instrument; The effective echo peak value is analyzed in the time domain to obtain the flight time parameter of the effective echo peak value; The initial ranging of the laser level instrument is generated based on the flight time parameters.

3. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 1, characterized in that, The step of determining the dynamic amplitude reference benchmark of the laser level instrument based on the initial ranging, and performing confidence-weighted screening on the initial ranging based on the dynamic amplitude reference benchmark to obtain the effective ranging of the laser level instrument includes: The initial ranging is evaluated using discrete quantization to obtain a probability histogram of the initial ranging. The peak main cluster center of the probability histogram is located to obtain the dynamic amplitude reference benchmark of the laser level instrument. Based on the dynamic amplitude reference benchmark, the initial ranging is measured by deviation distance to obtain the deviation coefficient of the initial ranging. Based on the deviation coefficient, a nonlinear confidence mapping is performed on the initial ranging to obtain the weighting factor of the initial ranging; Based on the weighting factor, the initial ranging is weighted and filtered to obtain the effective ranging of the laser level instrument.

4. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 3, characterized in that, The formula for calculating the weighting factor is as follows: ； in, For the initial ranging Each weighting factor For the initial ranging A deviation coefficient, The total number of initial ranging data points. This refers to the set of frequency values ​​in the probability histogram. This is the cumulative sum of the deviation coefficients.

5. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 1, characterized in that, The step of dynamically mapping the effective ranging to obtain a multi-dimensional timestamp sliding window for the effective ranging includes: Perform a time-series index association on the effective ranging to obtain the ranging time-series data stream of the effective ranging; The effective ranging sliding window is determined based on the data update frequency of the ranging time-series data stream, and the sliding window includes a span step size and a window capacity. Based on the span step size and the window capacity, the ranging time series data stream is cyclically shifted and mapped to obtain a complete local spatiotemporal slice of the effective ranging. The complete local spatiotemporal slice is reorganized according to its temporal dimensions to obtain the multidimensional timestamp sliding window for effective ranging.

6. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 1, characterized in that, The step of performing trend consistency analysis on the data within the multidimensional timestamp sliding window to obtain stable ranging of the laser level instrument includes: Local slope extraction is performed on the data within the multidimensional timestamp sliding window to obtain the directional discrete trend vector of the multidimensional timestamp sliding window. Perform a direction consistency check on the discrete trend vector to obtain the trend synchronization status identifier within the multi-dimensional timestamp sliding window; When the trend synchronization status identifiers are consistent, the data is retained; when the trend synchronization status identifiers are inconsistent, the data in the current multidimensional timestamp sliding window is corrected by abnormal interpolation based on the historical data sequence to obtain the corrected distance measurement of the laser level instrument. By integrating the data retained when the corrected distance measurement matches the trend synchronization status indicator, the stable distance measurement of the laser level instrument is obtained.

7. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 1, characterized in that, The process of comparing the real-time temperature data of the laser level gauge with the preset benchmark calibration temperature to obtain the temperature compensation factor of the laser level gauge, and performing nonlinear correction on the stable ranging based on the temperature compensation factor to obtain the actual laser ranging value of the laser level gauge, includes: Based on the preset benchmark calibration temperature, the temperature difference deviation of the real-time temperature data of the laser level instrument is quantified to obtain the temperature compensation factor of the laser level instrument. The range of the stable ranging is divided into intervals to obtain the ranging sub-intervals of the stable ranging. Based on the temperature compensation factor, the distance measurement sub-interval is adjusted and weighted to obtain the differential compensation coefficient of the distance measurement sub-interval. Based on the differential compensation coefficient, a piecewise nonlinear mapping is performed on the stable ranging to obtain the actual laser ranging value of the laser level instrument.

8. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 1, characterized in that, The step of calculating the ranging change rate of the actual laser ranging value based on continuous time-series data of the actual laser ranging value, and adjusting the alarm hysteresis range of the laser level instrument according to the ranging change rate, includes: By performing change analysis on the continuous time-series data of the actual laser ranging value, the ranging change rate of the actual laser ranging value is obtained; Based on a preset basic hysteresis threshold, the ranging change rate is dynamically and elastically scaled to obtain the alarm hysteresis adjustment coefficient of the laser level instrument. Based on the alarm hysteresis adjustment coefficient, the initial alarm range of the laser level instrument is reconstructed by boundary expansion to obtain the alarm hysteresis range of the laser level instrument.

9. The laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 8, characterized in that, The formula for calculating the rate of change of the ranging is as follows: ； in, The current moment of the range change rate rate of change The rate of change of the ranging rate at the previous moment. The current time of the actual laser ranging value Laser ranging value, The laser ranging value is the laser ranging value at the previous moment before the actual laser ranging value. It represents the time difference between the current moment and the previous moment. This is a preset smoothing decay factor.

10. A laser level gauge level monitoring system based on integrated transceiver measurement, characterized in that, The system for implementing the laser level gauge level monitoring method based on integrated transceiver measurement as described in claim 1 includes: The initial ranging generation module is used to extract time-domain features from the echo signal of the laser level instrument to obtain the mixed peak sequence of the laser level instrument, and generate the initial ranging of the laser level instrument based on the effective echo peak in the mixed peak sequence. The dynamic reference confidence weighted filtering module is used to determine the dynamic amplitude reference reference of the laser level instrument based on the initial ranging, and to perform confidence weighted filtering on the initial ranging based on the dynamic amplitude reference reference to obtain the effective ranging of the laser level instrument. The trend consistency analysis module is used to perform dynamic window mapping on the effective distance measurement to obtain a multi-dimensional timestamp sliding window of the effective distance measurement, and to perform trend consistency analysis on the data within the multi-dimensional timestamp sliding window to obtain the stable distance measurement of the laser level instrument. The temperature compensation correction module is used to compare the real-time temperature data of the laser level instrument with the preset benchmark calibration temperature to obtain the temperature compensation factor of the laser level instrument, and based on the temperature compensation factor, to perform nonlinear correction on the stable ranging to obtain the actual laser ranging value of the laser level instrument. The hysteresis dynamic adjustment module is used to calculate the ranging change rate of the actual laser ranging value based on the continuous time-series data of the actual laser ranging value, and adjust the alarm hysteresis range of the laser level instrument according to the ranging change rate. The integrated monitoring information encapsulation module is used to encapsulate the actual laser ranging value, the ranging change rate, and the alarm hysteresis range in a structured manner to obtain the integrated monitoring information of the laser level instrument.

Images