CN-121980471-A - Based on gaseous transport management system of ultrasonic wave intelligent monitoring

CN121980471ACN 121980471 ACN121980471 ACN 121980471ACN-121980471-A

Abstract

The invention relates to the technical field of gas delivery management and intelligent monitoring, in particular to an intelligent monitoring gas delivery management system based on ultrasonic waves. The method comprises the steps of periodically obtaining multi-source parameters based on multi-source sensors at key nodes through a monitoring unit, transmitting the multi-source parameters through a data transmission unit, simultaneously identifying and analyzing the preprocessed abnormal parameters through an edge calculation unit based on a preset multi-dimensional abnormality judgment threshold value to determine analysis results, judging abnormal parameters and analysis results through a cloud management unit based on a periodically trained multi-dimensional data analysis model, generating decision suggestions, and finally determining a gas conveying management state through an analysis unit based on an ultrasonic propagation speed deviation rate, adjusting the training period of the multi-dimensional data analysis model according to the multi-source parameters, and further adjusting the multi-dimensional abnormality judgment threshold value based on the adjusted management state. The invention improves the gas conveying management efficiency.

Inventors

ZHAO YUANYUAN
ZHAO YANLONG

Assignees

北京金都汇普新能源科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260401

Claims (10)

1. Based on gaseous transportation management system of ultrasonic wave intelligent monitoring, its characterized in that includes: A monitoring unit to periodically acquire multi-source parameters based on multi-source sensors disposed at key nodes in the gas delivery conduit, wherein the multi-source sensors are periodically calibrated; The data transmission unit is connected with the monitoring unit and used for transmitting the multisource parameters acquired by the monitoring unit; the edge computing unit is connected with the data transmission unit and is used for identifying abnormal parameters in the preprocessed multi-source parameters based on a preset multi-dimensional abnormal judgment threshold value and analyzing the abnormal parameters to determine an analysis result; The cloud management unit is connected with the edge calculation unit and used for judging the received abnormal parameters and the analysis result on the basis of the periodically trained multidimensional data analysis model and generating decision suggestions on the basis of the judgment result; The analysis unit is connected with the cloud management unit and is used for determining a gas conveying management state based on the ultrasonic wave propagation speed deviation rate after the decision suggestion is executed for a preset time, adjusting the training period of the multi-dimensional data analysis model based on the gas conveying management state and adjusting the multi-dimensional abnormality judgment threshold based on the gas conveying management state after the training period of the multi-dimensional data analysis model is adjusted.
2. The ultrasonic intelligent monitoring-based gas delivery management system according to claim 1, wherein the data transmission unit further comprises a data encryption module for encrypting the multi-source parameters based on an encryption algorithm; the data transmission unit further comprises a data caching module for caching data in a corresponding time period under the condition of network interruption.
3. The intelligent monitoring gas delivery management system based on ultrasonic waves according to claim 2, wherein the analysis unit is further configured to obtain ultrasonic propagation speed deviations corresponding to a plurality of historical moments if the gas delivery management state is not qualified; The analysis unit is also used for calculating the average value and variance of the deviation rate of the ultrasonic propagation speed, and adjusting the training period of the multidimensional data analysis model based on the ratio of the variance to the preset variance under the condition that the average value is larger than the preset average value and the variance is smaller than the preset variance; and determining that the gas delivery management state is unqualified under the condition that the deviation rate of the ultrasonic wave propagation speed is larger than the preset deviation rate.
4. The ultrasonic intelligent monitoring-based gas delivery management system of claim 3, wherein the analysis unit is further configured to reduce a training period of the multi-dimensional data analysis model based on a ratio of the variance to the preset variance, and wherein a reduction amplitude of the training period is inversely proportional to the ratio.
5. The ultrasonic intelligent monitoring-based gas delivery management system according to claim 4, wherein the analysis unit is further configured to, in the case that the gas delivery management state after the training period of the multidimensional data analysis model is adjusted is failed, invoke the multidimensional data analysis model to reckon a historical data segment with the failed gas delivery management state so as to determine a theoretical safety threshold; The analysis unit is further configured to compare the theoretical safety threshold with the multi-dimensional abnormality determination threshold, and adjust the multi-dimensional abnormality determination threshold based on a deviation amount of the theoretical safety threshold and the multi-dimensional abnormality determination threshold if the theoretical safety threshold is not within a section of the multi-dimensional abnormality determination threshold.
6. The ultrasonic intelligent monitoring-based gas delivery management system according to claim 5, wherein the analysis unit is further configured to increase the upper boundary of the multi-dimensional abnormality determination threshold based on a first deviation amount of the upper boundary of the theoretical safety threshold from the upper boundary of the multi-dimensional abnormality determination threshold in a case where the upper boundary of the theoretical safety threshold is Yu Duowei larger than the upper boundary of the abnormality determination threshold, and the increase amplitude of the upper boundary of the multi-dimensional abnormality determination threshold is proportional to the first deviation amount; The analysis unit is further configured to decrease the lower boundary of the multi-dimensional abnormality determination threshold based on a second deviation amount of the lower boundary of the multi-dimensional abnormality determination threshold from the lower boundary of the theoretical safety threshold in a case where the lower boundary of the theoretical safety threshold is smaller Yu Duowei than the lower boundary of the abnormality determination threshold, and the decrease amplitude of the lower boundary of the multi-dimensional abnormality determination threshold is proportional to the second deviation amount.
7. The ultrasonic intelligent monitoring-based gas delivery management system according to claim 6, wherein the analysis unit is further configured to repeatedly adjust the multi-dimensional abnormality determination threshold at least once until the adjustment frequency is less than a preset frequency and the gas delivery management state is qualified or the adjustment frequency is equal to the preset frequency, in the case that the gas delivery management state after the adjustment of the multi-dimensional abnormality determination threshold is unqualified; The analysis unit is further used for acquiring capture delay time corresponding to a plurality of historical moments under the condition that the gas delivery management state after stopping adjustment is unqualified, wherein the capture delay time is the delay time of an abnormal parameter timestamp actually captured by the edge calculation unit and a theoretical abnormal starting time determined by the cloud management unit based on a high-frequency reconstruction algorithm; The analysis unit is also used for calculating an average value of the capture delay time, and adjusting the acquisition period of the multi-source parameters based on the ratio of the average value to the preset average value under the condition that the average value is larger than the preset average value; and determining that the gas delivery management state is qualified under the condition that the deviation rate of the ultrasonic propagation speed is smaller than or equal to the preset deviation rate.
8. The ultrasonic intelligent monitoring-based gas delivery management system of claim 7, wherein the analysis unit is further configured to reduce the acquisition period of the multi-source parameter based on a ratio of the average value to a preset average value, and the reduction of the acquisition period is proportional to the ratio.
9. The intelligent monitoring gas delivery management system based on ultrasonic waves according to claim 8, wherein the analysis unit is further configured to obtain ultrasonic wave propagation rate deviation rates corresponding to a plurality of historical moments in case that the gas delivery management state after the acquisition period of the multi-source parameter is adjusted is not qualified; The analysis unit is also used for drawing a time-ultrasonic wave propagation rate offset curve, and adjusting the calibration period of the multi-source sensor based on the ratio of curve integral and preset curve integral under the condition that the curve in each calibration period monotonically increases and the maximum value of the ultrasonic wave propagation rate offset in each calibration period is larger than the preset offset.
10. The ultrasonic intelligent monitoring-based gas delivery management system of claim 9, wherein the analysis unit is further configured to decrease the calibration period of the multi-source sensor based on a ratio of the curve integral to a predetermined curve integral, and the decrease in the calibration period is proportional to the ratio.

Description

Based on gaseous transport management system of ultrasonic wave intelligent monitoring Technical Field The invention relates to the technical field of gas delivery management and intelligent monitoring, in particular to an intelligent monitoring gas delivery management system based on ultrasonic waves. Background The gas conveying system is widely applied to a plurality of key fields such as petrochemical industry, urban fuel gas, metallurgy, electric power and the like, and the stability, safety and high efficiency of the conveying process are directly related to industrial production continuity, public safety and energy utilization efficiency. Currently, the existing gas conveying monitoring and management system mainly depends on the traditional mechanical metering device, a single-point sensor and a manual inspection mode, has a plurality of technical defects, and cannot meet the large-scale, fine and intelligent management requirements of modern gas conveying. The method has the main defects that firstly, the monitoring precision is low, the function is single, the traditional mechanical instrument is easily influenced by working conditions such as gas pressure, temperature and impurities, the measuring error is large, only single-parameter monitoring of flow can be realized, key indexes such as gas components, leakage concentration and pipeline corrosion degree cannot be synchronously acquired, the running state of a conveying system is difficult to comprehensively reflect, secondly, the data processing and analyzing capability is weak, the existing system can only realize data acquisition and simple display, the real-time analysis, abnormal recognition and trend prediction functions of monitoring data are lacking, the monitoring data cannot be converted into decision bases capable of guiding actual operation and maintenance, thirdly, the operation and maintenance efficiency is low, the manual inspection mode is relied, the labor cost is high, inspection blind areas exist, the monitoring response to long-distance conveying pipelines, high-altitude equipment and dangerous areas is lag, leakage, blockage, overpressure and the like cannot be timely found easily, and potential safety hazards are further caused. CN117516824a discloses an ultrasonic gas leakage detector and a detection method thereof, comprising a mounting plate, a supporting frame, a rotating platform, an upright post and a mounting bracket, wherein the supporting frame is arranged at the bottom of the mounting plate, the upper end surface of the mounting plate is provided with the rotating platform, the lower end surface of the mounting plate is provided with a servo motor connected with the rotating platform, the upright post is perpendicular to the middle part of the upper end surface of the rotating platform, the mounting bracket is arranged at the top end of the upright post, the outer side wall of the mounting bracket is provided with an ultrasonic sensor, a gas temperature sensor, a gas concentration acquisition unit and an infrared acquisition instrument, the outer wall of the supporting frame is also provided with a control box, and the controller is arranged in the control box. As a result, the prior art has a problem that monitoring is not comprehensive during gas transportation management, resulting in low management efficiency. Disclosure of Invention Therefore, the invention provides an intelligent monitoring gas conveying management system based on ultrasonic waves, which is used for solving the problem of low management efficiency caused by incomplete monitoring during gas conveying management in the prior art. In order to achieve the above object, the present invention provides an intelligent monitoring gas delivery management system based on ultrasonic waves, comprising: A monitoring unit to periodically acquire multi-source parameters based on multi-source sensors disposed at key nodes in the gas delivery conduit, wherein the multi-source sensors are periodically calibrated; The data transmission unit is connected with the monitoring unit and used for transmitting the multisource parameters acquired by the monitoring unit; the edge computing unit is connected with the data transmission unit and is used for identifying abnormal parameters in the preprocessed multi-source parameters based on a preset multi-dimensional abnormal judgment threshold value and analyzing the abnormal parameters to determine an analysis result; The cloud management unit is connected with the edge calculation unit and used for judging the received abnormal parameters and the analysis result on the basis of the periodically trained multidimensional data analysis model and generating decision suggestions on the basis of the judgment result; The analysis unit is connected with the cloud management unit and is used for determining a gas conveying management state based on the ultrasonic wave propagation speed deviation rate after the decision suggesti