Quick drainage self-adaptive adjusting system for all-terrain mobile pump station
By building a resistance and flow difference detection module and an adaptive adjustment system, real-time monitoring and dynamic adjustment of the pump station series system is realized, and the mutual influence of pipeline resistance changes and flow fluctuations is solved, and the system's operating stability and drainage efficiency are improved.
Patent Information
- Application Number
- CN202510776014.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-11
- Publication Date
- 2025-07-22
AI Technical Summary
During the operation of the existing pump station series system, the mutual influence of pipeline resistance changes and flow fluctuations is difficult to accurately monitor, resulting in delayed abnormal warnings and inability to detect potential operating risks in time. Traditional adjustment methods cannot adapt to the complex and changeable operating environment, resulting in abnormal flow and affecting drainage efficiency.
Build a resistance and flow difference detection module, conduct time-trend two-dimensional correlation analysis, establish a flow standard difference-resistance difference mapping model, introduce a resistance superboundary prediction mechanism, predict critical time points through multi-model fitting, automatically trigger the adaptive adjustment module, and dynamically match the reference pipeline resistance for closed-loop control.
It significantly improves the operating stability of the pump station series system, effectively prevents flow abnormalities caused by pipeline resistance imbalance, and improves drainage efficiency.
Smart Images

Figure CN120350731A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of project management, and specifically relates to a rapid drainage adaptive regulation system for an all-terrain mobile pumping station. Background Art
[0002] In the fields of modern water conservancy, energy transmission, and industrial fluid transmission, pumping station series systems are widely used due to their high-efficiency long-distance transmission capabilities. However, during the operation of this system, the mutual influence between pipeline resistance changes and flow fluctuations has become a key factor restricting the stable operation of the system.
[0003] Traditional monitoring methods often only monitor the pipeline state based on a single time dimension, unable to effectively capture the dynamic change trends of flow and resistance parameters at different times, and difficult to accurately locate the root cause of abnormal states. The existing technologies lack an effective correlation analysis mechanism, usually relying only on a single indicator or simple threshold judgment, unable to deeply explore the internal connection between pipeline resistance differences and flow anomalies, resulting in a lag in abnormal warning and the inability to timely detect potential operation risks. In terms of determining the allowable value range, traditional methods mostly rely on empirical parameters or static models, unable to dynamically adjust according to the actual operating conditions, difficult to adapt to complex and changing operating environments, and prone to misjudgment or missed judgment. In addition, an effective over-limit prediction mechanism is generally lacking in the existing technologies, unable to predict the change trend of pipeline resistance in advance, and even more difficult to take effective intervention measures before an anomaly occurs. When the system has a resistance imbalance problem, traditional adjustment methods mostly adopt fixed adjustment strategies, unable to adaptively adjust according to the actual fluctuation characteristics of different pipelines, difficult to achieve precise control, and thus leading to abnormal flow, seriously affecting the drainage operation state of the pumping station series system.
[0004] Therefore, the present invention provides a rapid drainage adaptive regulation system for an all-terrain mobile pumping station. Summary of the Invention
[0005] In order to make up for the deficiencies of the existing technologies and solve at least one of the technical problems proposed in the background art.
[0006] The technical solution adopted by the present invention to solve its technical problems is: a rapid drainage adaptive regulation system for an all-terrain mobile pumping station, comprising:
[0007] A resistance and flow difference detection module: Based on the pipeline resistance of the pumping stations in series working state, detect whether there is a pipeline resistance difference phenomenon between the pumping stations. If so, detect the flow difference phenomenon between the pumping stations;
[0008] Resistance and flow difference analysis module: If there is a flow difference phenomenon between pump stations, perform a correlation analysis of the pipeline resistance difference and flow difference in the time change dimension and trend change dimension. If there is an associated change between the pipeline resistance difference and flow difference, determine the allowable value range of the resistance difference;
[0009] Resistance over-limit analysis module: Continuously monitor the pipeline resistance difference, and when the pipeline resistance difference reaches the warning state, combine with the allowable value range of the resistance difference to predict the critical time point of the pipeline resistance difference, and judge whether it is necessary to perform adaptive adjustment of the pipeline resistance;
[0010] Adaptive adjustment module: If it is necessary to perform adaptive adjustment of the pipeline resistance, compare the pipeline resistance fluctuations of the pump stations in the series working state, determine the target adjustment pipeline and set the adaptive adjustment mechanism of the target adjustment pipeline.
[0011] Preferably, the method for detecting whether there is a pipeline resistance difference phenomenon between pump stations is as follows:
[0012] Detect the pipeline resistance of the pump station connection pipelines respectively during the current monitoring period;
[0013] If the pipeline resistances of the pump station connection pipelines are inconsistent, it means that there is a pipeline resistance difference phenomenon between pump stations. Otherwise, it means that there is no pipeline resistance difference phenomenon between pump stations;
[0014] The method for detecting the flow difference phenomenon between pump stations is as follows:
[0015] Detect the flow rates of the pump station connection pipelines respectively during the current monitoring period;
[0016] If the pipeline resistances of the pump station connection pipelines are inconsistent, it means that there is a flow difference phenomenon between pump stations. Otherwise, it means that there is no flow difference phenomenon between pump stations.
[0017] Preferably, the process of performing a correlation analysis of the pipeline resistance difference and flow difference in the time change dimension and trend change dimension is as follows:
[0018] Obtain the continuous time periods when the pipeline resistance difference phenomenon occurs each time during the historical monitoring period of the pump stations in the series working state, and summarize and integrate them to obtain the pipeline resistance difference time period sequence;
[0019] Obtain the continuous time periods when the flow difference phenomenon occurs each time during the previous historical monitoring period of the pump stations in the series working state, and summarize and integrate them to obtain the flow difference time period sequence;
[0020] Through the coincidence comparison analysis of the pipeline resistance difference time period sequence and the flow difference time period sequence, obtain the difference correlation value;
[0021] If the difference correlation value meets the requirements, it indicates that there is an associated change between the pipeline resistance difference and the flow rate difference; otherwise, there is no such change.
[0022] Preferably, the method for obtaining the difference correlation value is as follows:
[0023] Extract the overlapping continuous time periods in the pipeline resistance difference time period sequence and the flow rate difference time period sequence, and mark them as the difference overlapping time periods;
[0024] Count the proportion of the difference overlapping time periods in the pipeline resistance difference time period sequence to obtain the difference time period correlation value;
[0025] Respectively obtain the average pipeline resistance difference amount and the average flow rate difference amount within the difference overlapping time periods, and after absolute value processing, integrate them in chronological order respectively to obtain the average pipeline resistance absolute difference group and the average flow rate absolute difference group, and calculate the Pearson correlation coefficient, and combine with the difference time period correlation value to comprehensively output the difference correlation value.
[0026] Preferably, the average pipeline resistance difference amount is obtained by summing and averaging the pipeline resistance difference amounts at different unit time moments within the difference overlapping time periods, where the pipeline resistance difference amount is obtained from the pipeline resistance deviation between the pump station connecting pipelines;
[0027] The average flow rate difference amount is obtained by summing and averaging the flow rate difference amounts at different unit time moments within the difference overlapping time periods, where the flow rate difference amount is the flow rate deviation between the pump station connecting pipelines.
[0028] Preferably, the process for determining the allowable value range of the resistance difference is as follows:
[0029] Based on the average pipeline resistance absolute difference group and the average flow rate absolute difference group, use the least squares method for fitting to obtain the correlation model between the pipeline resistance difference and the flow rate difference;
[0030] Obtain the standard flow rate difference range of the pump station in the series operation state, use the standard flow rate difference range as the input of the correlation model between the pipeline resistance difference and the flow rate difference, and output the allowable value range of the resistance difference [ZLmin - ZLmax], where ZLmin is the minimum endpoint value of the allowable value range of the resistance difference, and ZLmax is the maximum endpoint value of the allowable value range of the resistance difference.
[0031] Preferably, the judgment for the pipeline resistance difference to reach the warning state is as follows:
[0032] Set the first resistance difference warning critical value ZL within the allowable value range of the resistance difference [ZLmin - ZLmax] D1 and the second resistance difference warning critical value ZL D2 , where ZLmin < ZL D2 <ZLD1 <ZLmax;
[0033] Continuously monitor the pipeline resistance difference. If the monitored pipeline resistance difference reaches the first resistance difference warning critical value ZL D1 or the second resistance difference warning critical value ZL D2 , it means that the pipeline resistance difference reaches the warning state.
[0034] Preferably, the process of predicting the critical time point of the pipeline resistance difference is as follows:
[0035] Obtain the time point when the pipeline resistance difference phenomenon appears and the time point when the pipeline resistance difference reaches the warning state, and obtain the continuous occurrence period of the pipeline resistance difference;
[0036] Obtain the pipeline resistance difference amounts at different unit time points within the continuous occurrence period of the pipeline resistance difference, and integrate them in chronological order to obtain the set of pipeline resistance difference amounts within the continuous occurrence period of the pipeline resistance difference;
[0037] Use different fitting methods to fit the set of pipeline resistance difference amounts, and select the fitting model with the highest goodness of fit as the pipeline resistance difference critical prediction model;
[0038] If the pipeline resistance difference amount is equal to the first resistance difference warning critical value when the pipeline resistance difference reaches the warning state, then use the maximum end point value within the allowable value range of the resistance difference as the input, and output the critical time point through the pipeline resistance difference critical prediction model;
[0039] If the pipeline resistance difference amount is equal to the second resistance difference warning critical value when the pipeline resistance difference reaches the warning state, then use the minimum end point value within the allowable value range of the resistance difference as the input, and output the critical time point through the pipeline resistance difference critical prediction model.
[0040] Preferably, the process of determining whether adaptive adjustment of the pipeline resistance is required is as follows:
[0041] If the critical time point of the pipeline resistance difference is after the end time point of the current monitoring period or the critical time point of the pipeline resistance difference coincides with the end time point of the current monitoring period, then no adaptive adjustment is required;
[0042] If the critical time point of the pipeline resistance difference is before the end time point of the current monitoring period, then adaptive adjustment is required.
[0043] Preferably, the method for determining the target adjustment pipeline is as follows:
[0044] Obtain the operating periods of the pumping station during the current monitoring period to get the operating periods of the pumping station. Respectively obtain the pipeline resistances of the pipeline connected to the pumping station at different unit time points during the operating periods of the pumping station, and summarize and integrate them in chronological order to obtain the first pipeline resistance sequence and the second pipeline resistance sequence;
[0045] Calculate the coefficient of variation for the first pipeline resistance sequence and the second pipeline resistance sequence and compare them;
[0046] Select the pipeline connected to the pumping station corresponding to the pipeline resistance sequence with a larger coefficient of variation as the target adjustment pipeline;
[0047] Select the pipeline connected to the pumping station corresponding to the pipeline resistance sequence with a smaller coefficient of variation as the adjustment reference pipeline;
[0048] The process of setting the adaptive adjustment mechanism for the target adjustment pipeline is as follows:
[0049] Adjust the pipeline resistance of the target adjustment pipeline to be the same as that of the adjustment reference pipeline, and during subsequent pipeline resistance monitoring, monitor the pipeline resistance of the adjustment reference pipeline and dynamically adjust the pipeline resistance of the target adjustment pipeline to match that of the adjustment reference pipeline.
[0050] The beneficial effects of the present invention are as follows: By constructing a resistance and flow difference detection module to monitor the pipeline state of the series pumping station in real time, adopting a time-trend two-dimensional correlation analysis mechanism, combining the correlation value of the difference period and the Pearson coefficient to comprehensively determine the correlation between pipeline resistance difference and flow anomaly, and establishing a flow standard difference-resistance difference mapping model to determine the allowable value range; Innovatively introducing a resistance over-limit prediction mechanism, predicting the critical time point through multi-model fitting. When it is predicted that the pipeline resistance difference will break through the allowable value range during the monitoring period, the adaptive adjustment module is automatically triggered. Based on the coefficient of variation comparison, the pipeline with greater volatility is selected as the target adjustment object, and closed-loop control is achieved by dynamically matching the reference pipeline resistance. This technical solution significantly improves the operating stability of the pumping station series system, effectively prevents flow anomalies caused by pipeline resistance imbalance, and improves the drainage efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] The present invention will be further described below with reference to the accompanying drawings.
[0052] Figure 1 is the program block diagram of a full-terrain mobile pumping station rapid drainage adaptive adjustment system described in an embodiment of the present invention;
[0053] Figure 2 is the step flow schematic diagram of the rapid drainage adaptive adjustment of the pumping station in a full-terrain mobile pumping station rapid drainage adaptive adjustment system described in an embodiment of the present invention;
[0054] Figures 3 - 4It is a schematic diagram of the series operation of a full - terrain mobile pumping station described in an embodiment of the present invention;
[0055] Figures 5 - 10 It is a structural component diagram of a full - terrain mobile pumping station described in an embodiment of the present invention. Detailed implementation manners
[0056] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific implementation manners.
[0057] Embodiment 1: Please refer to Figures 1 - 2 As shown, a fast - drainage adaptive adjustment system for a full - terrain mobile pumping station described in an embodiment of the present invention includes the following modules:
[0058] Resistance and flow difference detection module: Based on the pipeline resistance of the pumping stations in the series operation state, detect whether there is a pipeline resistance difference phenomenon between the pumping stations. If so, detect the flow difference phenomenon between the pumping stations;
[0059] The pumping stations in the series operation state refer to the series connection of pipelines between two full - terrain mobile pumping stations, as Figures 3 - 4 shown;
[0060] The method for detecting whether there is a pipeline resistance difference phenomenon between the pumping stations is:
[0061] During the current monitoring period, respectively detect the pipeline resistance of the pipeline connecting the pumping stations and make a consistency judgment;
[0062] If the pipeline resistance of the pipeline connecting the pumping stations is consistent, it means that there is no pipeline resistance difference phenomenon between the pumping stations, and no operation is performed;
[0063] If the pipeline resistance of the pipeline connecting the pumping stations is inconsistent, it means that there is a pipeline resistance difference phenomenon between the pumping stations;
[0064] The method for detecting the flow difference phenomenon between the pumping stations is:
[0065] During the current monitoring period, respectively detect the flow of the pipeline connecting the pumping stations and make a consistency judgment;
[0066] If the flow of the pipeline connecting the pumping stations is consistent, it means that there is no flow difference phenomenon between the pumping stations, and then perform resistance adjustment to make the pipeline resistance of the pipeline connecting the pumping stations consistent;
[0067] If the pipeline resistance of the pipeline connecting the pumping stations is inconsistent, it means that there is a flow difference phenomenon between the pumping stations;
[0068] It should be noted that the flow and pipeline resistance of the pipeline connecting the pumping stations are respectively monitored by a flowmeter and a pressure sensor;
[0069] Resistance and flow difference analysis module: If there is a flow difference phenomenon between pump stations, perform a correlation analysis of the pipeline resistance difference and the flow difference in the time change dimension and the trend change dimension. If there is an associated change in the pipeline resistance difference and the flow difference, determine the allowable value range of the resistance difference;
[0070] The process of performing the correlation analysis of the pipeline resistance difference and the flow difference in the time change dimension and the trend change dimension is as follows:
[0071] Obtain the duration of each occurrence of the pipeline resistance difference phenomenon in the previous historical monitoring period of the pump station in the series operation state, and summarize and integrate to obtain the pipeline resistance difference time period sequence;
[0072] Exemplarily, assume that the durations of each occurrence of the pipeline resistance difference phenomenon in the previous historical monitoring period of the pump station are respectively from the 2nd second to the 6th second, from the 10th second to the 15th second, and from the 20th second to the 23rd second in the historical monitoring period. Here, s is the time unit of seconds. Then the obtained pipeline resistance difference time period sequence is: {2 - 6, 10 - 15, 20 - 23};
[0073] It should be noted that within the duration of the pipeline resistance difference phenomenon, the positive and negative nature of the pipeline resistance difference quantity remains unchanged. Among them, the pipeline resistance difference quantity = the pipeline resistance of the first pump station - the pipeline resistance of the second pump station. The first pump station and the second pump station are distinguished by the water flow direction, and the first pump station is the pump station that the water passes through first;
[0074] Obtain the duration of each occurrence of the flow difference phenomenon in the previous historical monitoring period of the pump station in the series operation state, and summarize and integrate to obtain the flow difference time period sequence;
[0075] It should be noted that within the duration of the pipeline resistance difference phenomenon, the positive and negative nature of the flow difference quantity remains unchanged. Among them, the flow difference quantity = the flow of the first pump station - the flow of the second pump station;
[0076] Perform an overlapping comparison on the pipeline resistance difference time period sequence and the flow difference time period sequence. Based on any one duration in the pipeline resistance difference time period sequence, if there is any one identical duration in the flow difference time period sequence, mark the duration as the difference overlapping time period;
[0077] Count the number of difference overlapping time periods, and perform a ratio process with the total number of durations in the pipeline resistance difference time period sequence to obtain the difference time period correlation value;
[0078] It should be noted that the physical meaning of the differential time period correlation value is as follows: the differential time period correlation value reflects the synchronization of the pipeline resistance difference and the flow rate difference in terms of time. When this value is relatively high, it indicates that the resistance difference and the flow rate difference tend to occur within the same time period. The magnitude of the differential time period correlation value directly represents the degree of correlation between the resistance difference and the flow rate difference. The closer the value is to 1, the closer the correlation between the two; the closer the value is to 0, the weaker the correlation between the two.
[0079] Based on the coincidence comparison of the pipeline resistance difference time period sequence and the flow rate difference time period sequence, the differential coincidence time period is obtained. Based on any one differential coincidence time period, the average pipeline resistance difference amount and the average flow rate difference amount within the differential coincidence time period are respectively obtained, and absolute value processing is performed to obtain the average absolute pipeline resistance difference amount and the average absolute flow rate difference amount within the differential coincidence time period.
[0080] Among them, the average pipeline resistance difference amount within the differential coincidence time period is obtained by summing and averaging the pipeline resistance difference amounts at different unit time moments within the differential coincidence time period, and the average flow rate difference amount is obtained by summing and averaging the flow rate difference amounts at different unit time moments within the differential coincidence time period.
[0081] It can be understood that the purpose of taking the average pipeline resistance difference amount and the average flow rate difference amount within the differential coincidence time period and performing absolute value processing is to analyze whether there is a correlation between the pipeline resistance difference and the flow rate difference, and to determine whether an increase in the pipeline resistance difference will lead to an increase in the flow rate difference, without considering the positive and negative situations of the pipeline resistance difference and the flow rate difference.
[0082] The average absolute pipeline resistance difference amounts within each differential coincidence time period are sequentially summarized and integrated in the time order of the differential coincidence time period to obtain an average absolute pipeline resistance difference group.
[0083] The average absolute flow rate difference amounts within each differential coincidence time period are sequentially summarized and integrated in the time order of the differential coincidence time period to obtain an average absolute flow rate difference group.
[0084] Calculate the Pearson correlation coefficient between the average absolute pipeline resistance difference group and the average absolute flow rate difference group.
[0085] Sum the differential time period correlation value and the Pearson correlation coefficient to obtain a differential correlation value.
[0086] It can be understood that the differential time period correlation value mainly reflects the correlation in the time dimension, that is, whether the resistance difference and the flow rate difference occur within the same time period, while the Pearson correlation coefficient reflects the correlation in the trend change dimension, that is, whether the change trends of the resistance difference and the flow rate difference are consistent. Combining the two, the differential correlation value is obtained, which provides a comprehensive evaluation criterion for judging whether there is a substantial correlation between the pipeline resistance difference and the flow rate difference. When the differential correlation value is high, it indicates that there is a strong correlation between the two in both the time dimension and the trend change dimension;
[0087] In some embodiments, the differential correlation value is compared with a differential correlation threshold;
[0088] If the differential correlation value is greater than or equal to the differential correlation threshold, it indicates that there is an associated change between the pipeline resistance difference and the flow rate difference;
[0089] If the differential correlation value is less than the differential correlation threshold, it indicates that there is no associated change between the pipeline resistance difference and the flow rate difference, and independent adjustment of the resistance and the flow rate can be performed;
[0090] The process of determining the allowable value range of the resistance difference is as follows:
[0091] Based on the average pipeline resistance absolute difference group and the average flow rate absolute difference group, fitting is performed using the least squares method to obtain an association model between the pipeline resistance difference and the flow rate difference;
[0092] According to the operation design requirements of the pump station in the series working state, the standard flow rate difference range of the pump station in the series working state is obtained, and the standard flow rate difference range is used as the input of the association model between the pipeline resistance difference and the flow rate difference, and the allowable value range of the resistance difference is output;
[0093] Specifically, the two endpoint values of the standard flow rate difference range are respectively input into the association model between the pipeline resistance difference and the flow rate difference, and two pipeline resistance difference amounts respectively output by the association model are used to construct the allowable value range of the resistance difference [ZLmin - ZLmax]; where ZLmin is the minimum endpoint value of the allowable value range of the resistance difference, and ZLmax is the maximum endpoint value of the allowable value range of the resistance difference;
[0094] Resistance overrun analysis module: Continuously monitor the pipeline resistance difference, and when the pipeline resistance difference reaches the warning state, combine the allowable value range of the resistance difference to predict the critical time point of the pipeline resistance difference, and judge whether adaptive adjustment of the pipeline resistance is required;
[0095] The judgment basis for the pipeline resistance difference reaching the warning state is:
[0096] Set the first resistance difference warning critical value ZL within the allowable value range of the resistance difference [ZLmin - ZLmax]D1 and the second resistance difference warning threshold value ZL D2 , where ZLmin < ZL D2 < ZL D1 < ZLmax, that is, [ZLmin - ZL D2 - ZL D1 - ZLmax];
[0097] It should be noted that the purpose of setting the first resistance difference warning threshold value and the second resistance difference warning threshold value is to prevent the abnormal change of the flow rate between pump stations caused by the change of the pipeline resistance difference exceeding the allowable value range of the resistance difference. Therefore, the first resistance difference warning threshold value and the second resistance difference warning threshold value are set for warning. For example, the allowable value range of the resistance difference [ZLmin - ZLmax] is [-0.2, 0.2], and the set first resistance difference warning threshold value and the second resistance difference warning threshold value can be -0.15 and 0.15;
[0098] Continuously monitor the pipeline resistance difference. If it is detected that the pipeline resistance difference reaches the first resistance difference warning threshold value ZL D1 or the second resistance difference warning threshold value ZL D2 , it means that the pipeline resistance difference reaches the warning state;
[0099] If it is detected that the pipeline resistance difference does not reach the first resistance difference warning threshold value ZL D1 or the second resistance difference warning threshold value ZL D2 , it means that the pipeline resistance difference does not reach the warning state, and continue to monitor;
[0100] The process of predicting the critical time point of the pipeline resistance difference is as follows:
[0101] Starting from the occurrence of the pipeline resistance difference phenomenon and ending when the pipeline resistance difference reaches the warning state, the continuous occurrence period of the pipeline resistance difference is obtained. Specifically, the continuous occurrence period of the pipeline resistance difference represents the period during which the pipeline resistance difference continuously changes from 0 to the first resistance difference warning threshold value or the second resistance difference warning threshold value, that is, the pipeline resistance difference amount is [0 - ZL D1 or [0 - ZL D2 corresponding period;
[0102] Obtain the pipeline resistance difference amounts at different unit time points within the continuous occurrence period of the pipeline resistance difference, and integrate them in chronological order to obtain the set of pipeline resistance difference amounts within the continuous occurrence period of the pipeline resistance difference;
[0103] The set of pipeline resistance difference amounts is fitted using different fitting methods to obtain fitting models under different fitting methods, the goodness of fit of different fitting methods is calculated, and the fitting model with the highest goodness of fit is selected as the pipeline resistance difference critical prediction model;
[0104] Among them, different fitting methods include: linear regression fitting, polynomial fitting, exponential regression fitting, etc.;
[0105] If the pipeline resistance difference reaches the warning state and the pipeline resistance difference amount is equal to the first resistance difference warning critical value, then the maximum endpoint value (ZLmax) within the allowable value range of the resistance difference is used as the input, and the critical time point is output through the pipeline resistance difference critical prediction model;
[0106] If the pipeline resistance difference reaches the warning state and the pipeline resistance difference amount is equal to the second resistance difference warning critical value, then the minimum endpoint value (ZLmin) within the allowable value range of the resistance difference is used as the input, and the critical time point is output through the pipeline resistance difference critical prediction model;
[0107] It can be understood that when the pipeline resistance difference reaches the warning state and the pipeline resistance difference amount reaches the first resistance difference warning critical value, in order to prevent the pipeline resistance difference amount from continuing to increase and exceeding the allowable value range of the resistance difference, the maximum endpoint value (ZLmax) within the allowable value range of the resistance difference is used as the input to predict the critical time point of the pipeline resistance difference. Similarly, when the pipeline resistance difference reaches the warning state and the pipeline resistance difference amount reaches the second resistance difference warning critical value, in order to prevent the pipeline resistance difference amount from continuing to change and exceeding the allowable value range of the resistance difference, the minimum endpoint value (ZLmin) within the allowable value range of the resistance difference is used as the input to predict the critical time point (T critical) of the pipeline resistance difference;
[0108] The process of judging whether adaptive adjustment of the pipeline resistance is required is as follows:
[0109] Compare the critical time point of the pipeline resistance difference with the end time point of the current monitoring period:
[0110] If the critical time point of the pipeline resistance difference is after the end time point of the current monitoring period or the critical time point of the pipeline resistance difference coincides with the end time point of the current monitoring period, then no adaptive adjustment is required and continuous monitoring is carried out. The reason is that before the end of the monitoring period, the pipeline resistance difference does not reach the endpoint of the allowable value range of the critical resistance difference;
[0111] If the critical time point of the pipeline resistance difference is before the end time point of the current monitoring period, then adaptive adjustment is required. The reason is that before the end of the monitoring period, the pipeline resistance difference will reach the endpoint of the allowable value range of the critical resistance difference;
[0112] Adaptive adjustment module: If adaptive adjustment of pipeline resistance is required, compare the fluctuations of pipeline resistance of the pumping station in the series working state, determine the target adjustment pipeline and the adjustment reference pipeline, and set the adaptive adjustment mechanism for the target adjustment pipeline;
[0113] The process of comparing the fluctuations of pipeline resistance of the pumping station in the series working state is as follows:
[0114] Obtain the operating time periods of the pumping station within the current monitoring period to get the operating time periods of the pumping station. Respectively obtain the pipeline resistances of the pipeline connected to the pumping station at different unit times within the operating time periods of the pumping station, and summarize and integrate them in chronological order to obtain a pipeline resistance sequence. Among them, the pipeline resistance sequence includes a first pipeline resistance sequence and a second pipeline resistance sequence, and each pipeline resistance sequence corresponds to a pipeline connected to the pumping station;
[0115] Calculate the coefficient of variation of the first pipeline resistance sequence and the second pipeline resistance sequence and compare them;
[0116] Select the pipeline connected to the pumping station corresponding to the pipeline resistance sequence with a large coefficient of variation as the target adjustment pipeline;
[0117] Select the pipeline connected to the pumping station corresponding to the pipeline resistance sequence with a small coefficient of variation as the adjustment reference pipeline;
[0118] It can be understood that the reason for selecting the pipeline connected to the pumping station corresponding to the pipeline resistance sequence with a large coefficient of variation as the target adjustment pipeline is that: since the coefficient of variation corresponding to the pipeline connected to the pumping station is large, the pipeline resistance of this pipeline connected to the pumping station changes greatly. Adjusting the pipeline resistance of it helps to balance the pressure distribution of the entire pipe network and reduce the instability of the pumping station system caused by resistance fluctuations;
[0119] The process of setting the adaptive adjustment mechanism for the target adjustment pipeline is as follows:
[0120] Adjust the pipeline resistance of the target adjustment pipeline to be the same as the pipeline resistance of the adjustment reference pipeline, and during subsequent pipeline resistance monitoring, monitor the pipeline resistance of the adjustment reference pipeline and dynamically adjust the pipeline resistance of the target adjustment pipeline to match the pipeline resistance of the adjustment reference pipeline.
[0121] The technical solution of the embodiment of the present invention is as follows: Based on the pipeline resistance of the pumping stations in series operation, detect whether there is a phenomenon of pipeline resistance difference between the pumping stations. If it appears, detect the flow difference phenomenon between the pumping stations. If there is a flow difference phenomenon between the pumping stations, conduct a correlation analysis of the pipeline resistance difference and the flow difference in the time change dimension and the trend change dimension. If there is an associated change between the pipeline resistance difference and the flow difference, determine the allowable value range of the resistance difference, continuously monitor the pipeline resistance difference, and when the pipeline resistance difference reaches the warning state, combine the allowable value range of the resistance difference to predict the critical time point of the pipeline resistance difference, and judge whether it is necessary to perform adaptive adjustment of the pipeline resistance. If it is necessary to perform adaptive adjustment of the pipeline resistance, compare the pipeline resistance volatility in the series operation state of the pumping stations, determine the target adjustment pipeline and the adjustment reference pipeline, and set the adaptive adjustment mechanism of the target adjustment pipeline. The present invention constructs a resistance and flow difference detection module to continuously monitor the pipeline state of the series pumping stations, adopts a time-trend two-dimensional correlation analysis mechanism, combines the correlation value of the difference period and the Pearson coefficient to comprehensively judge the correlation between the pipeline resistance difference and the flow anomaly, and establishes a flow standard difference-resistance difference mapping model to determine the allowable value range; innovatively introduces a resistance over-limit prediction mechanism, predicts the critical time point through multi-model fitting. When it is predicted that the pipeline resistance difference will break through the allowable value range within the monitoring period, the adaptive adjustment module is automatically triggered, selects the pipeline with greater volatility as the target adjustment object based on the coefficient of variation comparison, and realizes closed-loop control by dynamically matching the reference pipeline resistance. This technical solution significantly improves the operation stability of the pumping station series system and effectively prevents flow anomalies caused by pipeline resistance imbalance.
[0122] Embodiment 2: Please refer to Figures 5 - 10 As shown in the figure, the present invention also provides an all-terrain mobile pumping station, including:
[0123] Track assembly: The rubber track chassis has a large load-bearing capacity, up to 3500 kg. The rubber track is suitable for various complex road conditions and can move independently by remote control. The track running is driven by a hydraulic motor, with large torque, low energy consumption, and stable performance. The track chassis can also operate immersed in water without potential electrical safety hazards, and the maximum speed is 3 km / h;
[0124] The whole machine is equipped with a box body, and the box body material is made of integral stainless steel. The water pump unit, control system, etc. are all installed in the box body. The track pattern adopts through horizontal stripes, which can be closely attached to the corner of the steps, facilitating the mobile pumping station to go up and down stairs and steps;
[0125] Diesel Engine: The diesel engine serves as the power source for the crawler pump station. Firstly, it directly drives the self-priming pump; secondly, it drives the hydraulic pump to provide hydraulic power for all hydraulic mechanisms. The power transmission form adopts the drive shaft type to achieve direct connection between the diesel engine and the water pump. The speed is adjusted according to the actual displacement requirement, and stepless speed regulation is achieved within the range of 1000 - 2300 rpm. To ensure that the mobile pump station is small in size and can operate flexibly in narrow spaces, an Dongfeng Cummins B3.9CS4110C water-cooled diesel engine is selected, which is small in size and has excellent stable performance. A separating clutch is installed between the engine and the water pump. When the crawler is moving, the water pump does not work, and the separating clutch is hydraulically driven and controlled;
[0126] Control System: The control system consists of two parts: the hydraulic control system and the electrical control system. A wireless intelligent remote control system is adopted. The hydraulic control system mainly remotely controls the movement of the mobile pump station and the operation of the vacuum pump; the electrical control system includes the control of main functions such as starting, stopping, flow rate, head, speed regulation, fuel gauge, battery voltage, and oil alarm. It can display parameters such as diesel engine oil temperature and oil pressure, and can issue alarm instructions when a fault is detected;
[0127] Water Pump: The self-priming centrifugal pump is the main operating mechanism of the mobile pump station, with the advantages of high suction lift, short self-priming time, high use efficiency, significant energy-saving effect, stable operation, and long service life;
[0128] Vacuum Auxiliary System: The oil-lubricated vacuum auxiliary pump serves as an auxiliary mechanism for the self-priming pump, playing an auxiliary role. It can shorten the self-priming time of the self-priming pump and improve the working efficiency of the self-priming pump. The effect is particularly obvious at high suction lifts. The vacuum auxiliary pump is equipped with an internal cooling system. The water pump and the vacuum pump work simultaneously and use the same power source (diesel engine). The vacuum pump of this pump station is driven by a hydraulic motor, with stable performance, simple operation, and no potential electrical safety hazards;
[0129] Inlet and Outlet Connectors:
[0130] Both the inlet and outlet adopt aluminum alloy DN250 snap connectors;
[0131] Suction Pipe: A DN250 rubber hose suction pipe is adopted, with a length of 6 meters, light weight, convenient to use, resistant to negative pressure, and wear-resistant. The quick connector adopts an aluminum alloy DN250 snap quick connector. It is equipped with a filter head and a low-level suction tray;
[0132] Hose: The drainage hose is a polyurethane hose with high strength, wear resistance, pressure resistance, corrosion resistance, anti-wrinkle, anti-tensile, and anti-aging properties. The pipe opening has a flat cut and the same pipe diameter. Compared with ordinary rubber hoses, it has the advantages of light weight, high pressure resistance, high conveying efficiency, soft texture, can be coiled, convenient to operate, fast laying and retracting speed, flexible, strong environmental adaptability, safe and reliable to use, and durable;
[0133] Drive shaft: The drive shaft adopts a universal drive shaft, which allows a large working angle, has a high fatigue torque, and a long service life.
[0134] Hydraulic oil tank and accessories: The hydraulic oil tank provides hydraulic oil for the hydraulic pump, crawler travel motor, hydraulic cylinder, and vacuum pump hydraulic motor.
[0135] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.
Claims
1. A rapid drainage adaptive adjustment system for an all-terrain mobile pumping station, characterized in that: Including: Resistance and flow difference detection module: Based on the pipeline resistance of the pump station in series operation, detect whether there is a pipeline resistance difference between pump stations. If so, detect the flow difference phenomenon between pump stations; Resistance and flow difference analysis module: If there is a flow difference phenomenon between pump stations, conduct a correlation analysis of the pipeline resistance difference and flow difference in the time change dimension and trend change dimension. If there is an associated change between the pipeline resistance difference and flow difference, determine the allowable value range of the resistance difference; Resistance over-limit analysis module: Continuously monitor the pipeline resistance difference, and when the pipeline resistance difference reaches the warning state, combine the allowable value range of the resistance difference to predict the critical time point of the pipeline resistance difference and determine whether adaptive adjustment of the pipeline resistance is required; Adaptive adjustment module: If adaptive adjustment of the pipeline resistance is required, compare the pipeline resistance fluctuations of the pump stations in series operation, determine the target adjustment pipeline, and set the adaptive adjustment mechanism for the target adjustment pipeline.
2. The rapid drainage adaptive adjustment system of an all-terrain mobile pump station according to claim 1, characterized in that: The method for detecting whether there is a pipeline resistance difference between pump stations is: Detect the pipeline resistance of the pump station connecting pipelines respectively during the current monitoring period; If the pipeline resistances of the pump station connecting pipelines are inconsistent, it indicates that there is a pipeline resistance difference between pump stations. Otherwise, it indicates that there is no pipeline resistance difference between pump stations; The method for detecting the flow difference phenomenon between pump stations is: Detect the flow rates of the pump station connecting pipelines respectively during the current monitoring period; If the pipeline resistances of the pump station connecting pipelines are inconsistent, it indicates that there is a flow difference phenomenon between pump stations. Otherwise, it indicates that there is no flow difference phenomenon between pump stations.
3. The rapid drainage adaptive adjustment system of an all-terrain mobile pump station according to claim 1, characterized in that: The process of conducting a correlation analysis of the pipeline resistance difference and flow difference in the time change dimension and trend change dimension is: Obtain the continuous duration of each occurrence of the pipeline resistance difference phenomenon of the pump station during the historical monitoring period in series operation, and summarize and integrate to obtain the pipeline resistance difference duration sequence; Obtain the continuous duration of each occurrence of the flow difference phenomenon of the pump station during the previous historical monitoring period in series operation, and summarize and integrate to obtain the flow difference duration sequence; Through coincidence comparison and analysis of the pipeline resistance difference duration sequence and the flow difference duration sequence, obtain the difference correlation value; If the difference correlation value meets the requirements, it indicates that there is an associated change between the pipeline resistance difference and the flow difference. Otherwise, there is no such change.
4. The rapid drainage adaptive adjustment system of an all-terrain mobile pump station according to claim 3, characterized in that: The method for obtaining the difference correlation value is: Extract the overlapping continuous durations in the pipeline resistance difference duration sequence and the flow difference duration sequence, and mark them as difference overlapping durations; Count the quantity proportion of the difference overlapping durations in the pipeline resistance difference duration sequence to obtain the difference duration correlation value; Respectively obtain the average pipeline resistance difference and the average flow rate difference within the differential coincidence period, and after absolute value processing, integrate them in chronological order respectively to obtain the average pipeline resistance absolute difference group and the average flow rate absolute difference group, calculate the Pearson correlation coefficient, and combine the differential period correlation value to comprehensively output the differential correlation value.
5. A rapid drainage adaptive regulation system for an all-terrain mobile pumping station according to claim 4, characterized in that: The average pipeline resistance difference is obtained by summing and averaging the pipeline resistance differences at different unit times within the differential coincidence period, where the pipeline resistance difference is obtained by acquiring the pipeline resistance deviation between the pipeline connections of the pumping station; The average flow rate difference is obtained by summing and averaging the flow rate differences at different unit times within the differential coincidence period, where the flow rate difference is the flow rate deviation between the pipeline connections of the pumping station.
6. A rapid drainage adaptive regulation system for an all-terrain mobile pumping station according to claim 5, characterized in that: The determination process of the allowable value range of the resistance difference is as follows: Based on the average pipeline resistance absolute difference group and the average flow rate absolute difference group, use the least squares method for fitting to obtain the correlation model between the pipeline resistance difference and the flow rate difference; Obtain the standard flow rate difference range of the pumping station in the series working state, use the standard flow rate difference range as the input of the correlation model between the pipeline resistance difference and the flow rate difference, and output the allowable value range of the resistance difference [ZLmin - ZLmax], where ZLmin is the minimum endpoint value of the allowable value range of the resistance difference, and ZLmax is the maximum endpoint value of the allowable value range of the resistance difference.
7. A rapid drainage adaptive regulation system for an all-terrain mobile pumping station according to claim 6, characterized in that: The judgment of the pipeline resistance difference reaching the warning state is: Set the first resistance difference warning critical value ZL within the allowable value range of resistance difference [ZLmin - ZLmax] D1 and the second resistance difference warning critical value ZL D2 , where ZLmin < ZL D2 < ZL D1 < ZLmax; Continuously monitor the pipeline resistance difference. If the monitored pipeline resistance difference reaches the first resistance difference warning critical value ZL D1 or the second resistance difference warning critical value ZL D2 , it indicates that the pipeline resistance difference reaches the warning state.
8. A rapid drainage adaptive regulation system for an all-terrain mobile pumping station according to claim 7, characterized in that: The process of predicting the critical time point of the pipeline resistance difference is: Obtain the time point when the pipeline resistance difference phenomenon occurs and the time point when the pipeline resistance difference reaches the warning state to obtain the continuous occurrence period of the pipeline resistance difference; Obtain the pipeline resistance differences at different unit times within the continuous occurrence period of the pipeline resistance difference, and integrate them in chronological order to obtain the set of pipeline resistance differences within the continuous occurrence period of the pipeline resistance difference; Use different fitting methods to fit the set of pipeline resistance differences, and select the fitting model with the highest goodness of fit as the pipeline resistance difference critical prediction model; If when the pipeline resistance difference reaches the warning state, the pipeline resistance difference is equal to the first resistance difference warning critical value, then use the maximum endpoint value within the allowable value range of the resistance difference as the input, and output the critical time point through the pipeline resistance difference critical prediction model; If when the pipeline resistance difference reaches the warning state, the pipeline resistance difference is equal to the second resistance difference warning critical value, then use the minimum endpoint value within the allowable value range of the resistance difference as the input, and output the critical time point through the pipeline resistance difference critical prediction model.
9. An all-terrain mobile pumping station rapid drainage adaptive regulation system according to claim 8, characterized in that: The process of determining whether adaptive regulation of pipeline resistance is required is as follows: If the critical time point of pipeline resistance difference is after the end time point of the current monitoring period or the critical time point of pipeline resistance difference coincides with the end time point of the current monitoring period, no adaptive regulation is required; If the critical time point of pipeline resistance difference is before the end time point of the current monitoring period, adaptive regulation is required.
10. A rapid drainage adaptive adjustment system for an all-terrain mobile pumping station according to claim 9, characterized in that: The method for determining the target regulation pipeline is as follows: Obtain the operating period of the pumping station during the current monitoring period to obtain the operating period of the pumping station. Respectively obtain the pipeline resistance of the pumping station connecting pipelines at different unit times during the operating period of the pumping station, and summarize and integrate them in chronological order to obtain the first pipeline resistance sequence and the second pipeline resistance sequence; Calculate the coefficient of variation of the first pipeline resistance sequence and the second pipeline resistance sequence and compare them; Select the pumping station connecting pipeline corresponding to the pipeline resistance sequence with a large coefficient of variation as the target regulation pipeline; Select the pumping station connecting pipeline corresponding to the pipeline resistance sequence with a small coefficient of variation as the regulation reference pipeline; The process of setting the adaptive regulation mechanism of the target regulation pipeline is as follows: Adjust the pipeline resistance of the target regulation pipeline to be the same as the pipeline resistance of the regulation reference pipeline, and during subsequent pipeline resistance monitoring, monitor the pipeline resistance of the regulation reference pipeline, and dynamically adjust the pipeline resistance of the target regulation pipeline to match the pipeline resistance of the regulation reference pipeline.
Citation Information
Cited By
Automatic operation control method for variable-back-pressure series-parallel centrifugal pump set
CN120868044A