Oil-water separation oil discharge control system and method based on online analysis

Abstract

The invention belongs to the technical field of oil-water separation treatment, and provides an oil-water separation oil discharge control system and method based on online analysis, and the method comprises the steps: combining an oil-water separation process and constructing an oil discharge process model according to a funnel model principle, carrying out the comparison processing analysis of oil discharge data and the oil discharge process model, obtaining an oil discharge abnormal value, and calculating the oil discharge abnormal value. The method comprises the following steps of: judging an abnormal oil discharge condition in an oil discharge monitoring period, acquiring an abnormal continuous value, determining the continuity of an abnormal index when the oil discharge is abnormal, and performing corresponding operation treatment according to the strength of the continuity, so that sequential optimization control is performed on an oil-water separation process corresponding to a hierarchy where the abnormal index is located, and an abnormal stable value is acquired. According to the abnormal stable value, the stability of the abnormal index during abnormal oil discharge is judged, and the optimal control range and the optimal control sequence are determined according to the stability of the abnormal index during abnormal oil discharge, so that the oil-water separation optimal control efficiency is improved, and the optimal control accuracy is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of oil-water separation treatment, and specifically relates to an oil-water separation and oil discharge control system and method based on online analysis. Background Art

[0002] In real life, a large amount of oil and water is generated in the treatment of kitchen waste. Among them, separating the oil and water generated from kitchen waste can not only realize the recycling of oil, but also help reduce environmental pollution caused by oil and water. Therefore, it is of great significance to study an oil-water separation and oil discharge control system and method based on online analysis.

[0003] A Chinese patent application with the publication number CN1 08334714A discloses an oil-water separator oil discharge pipe control system and method based on a fuzzy neural network, including: collecting the current detection data of the oil discharge pipe, using the constructed oil-water separator oil discharge pipe control model to diagnose the current detection data of the oil discharge pipe, so as to output the current value of the oil discharge control of the oil discharge pipe, and controlling the opening and closing action of the oil discharge pump and the operation of the electric heating pipe of the oil-water separator oil discharge pipe.

[0004] In the prior art, there are multiple treatment processes for oil-water separation, and the overall process is complex. When an abnormality occurs in oil-water separation, it is necessary to monitor each abnormality one by one, resulting in untimely monitoring. Moreover, in the existing monitoring and analysis, there is a lack of monitoring of the continuity and stability of oil-water separation abnormalities. For example, if an abnormality occurs in a certain step of oil-water separation, it will lead to continuous abnormalities in subsequent separation steps and whether the separation step where the abnormality first occurs is stable each time. If not, it is impossible to determine the optimization control range based on the continuity and stability of oil-water separation abnormalities, thereby unable to improve the efficiency and accuracy of oil-water separation monitoring and optimization control.

[0005] Therefore, the present invention provides an oil-water separation and oil discharge control system and method based on online analysis. Summary of the Invention

[0006] In order to make up for the deficiencies of the prior art and solve at least one of the technical problems proposed in the background art.

[0007] The technical solution adopted by the present invention to solve its technical problems is: an oil-water separation and oil discharge control method based on online analysis, including:

[0008] Combining the oil-water separation process and constructing an oil discharge process model according to the funnel model principle. During the oil discharge monitoring period, obtain oil discharge data, and perform comparison processing and analysis on the oil discharge data and the oil discharge process model to obtain an oil discharge abnormality value;

[0009] Compare the oil discharge abnormality value with the oil discharge abnormality threshold. If the oil discharge abnormality value is greater than the oil discharge abnormality threshold, generate an oil discharge abnormality signal;

[0010] Based on the abnormal oil drainage signal, obtain the abnormal continuous value, and determine the continuity of the abnormal index when oil drainage is abnormal according to the abnormal continuous value. If the continuity of the abnormal index when oil drainage is abnormal is strong, generate an analysis signal. If the continuity of the abnormal index when oil drainage is abnormal is weak, determine the optimization control sequence;

[0011] Based on the analysis signal, obtain the abnormal stable value, judge the stability of the abnormal index when oil drainage is abnormal according to the abnormal stable value, and determine the optimization control range and the optimization control sequence according to the strength of the stability of the abnormal index when oil drainage is abnormal.

[0012] As a further technical solution of the present invention: the construction method of the oil drainage process model is as follows:

[0013] Take each step of the oil-water separation process in the process order as a level, and set a monitoring index for each level. The monitoring index includes but is not limited to the oil-water ratio of the incoming mixture, separation efficiency, oil layer thickness, starting frequency of the oil drainage device, and oil discharge volume;

[0014] Construct the framework of the oil drainage process model according to the funnel model principle for the obtained levels, and set the monitoring index corresponding to each level as the conversion rate of each level in the oil drainage process model to obtain the oil drainage process model.

[0015] As a further technical solution of the present invention: the method for obtaining the abnormal oil drainage value is as follows:

[0016] During the oil drainage monitoring period, whenever an oil drainage is completed, obtain the oil drainage data. Among them, the oil drainage data includes the actual indexes of each level in the oil drainage process model;

[0017] Perform a difference process on the actual index and the corresponding monitoring index to obtain the actual index difference;

[0018] If the actual index difference is not within the standard range of the index difference, mark the actual index as an abnormal index;

[0019] Process and analyze the abnormal index to obtain the abnormal quantity ratio and the abnormal excess ratio, and sum them to obtain the index abnormal value;

[0020] If the index abnormal value is greater than the index abnormal threshold, it means that the oil drainage is unqualified;

[0021] During the oil drainage monitoring period, count the total number of oil drainages and the number of unqualified oil drainages, and perform a ratio process on the number of unqualified oil drainages and the total number of oil drainages to obtain the unqualified oil drainage ratio;

[0022] Based on the unqualified oil drainage, the difference between the abnormal index value corresponding to the unqualified oil drainage and the abnormal index threshold is processed to obtain the abnormal index difference. The sum of the abnormal index differences for all unqualified oil drainage cases is averaged to obtain the average abnormal index difference. The average abnormal index difference is processed by taking the ratio with the abnormal index threshold to obtain the abnormal index overrun value;

[0023] The sum of the unqualified oil drainage ratio and the abnormal index overrun value is obtained to get the abnormal oil drainage value.

[0024] As a further technical solution of the present invention: The obtaining methods of the abnormal quantity ratio and the abnormal exceeding ratio are as follows:

[0025] Count the number of abnormal indexes in the actual indexes and process the ratio with the number of actual indexes to obtain the abnormal quantity ratio;

[0026] The difference between the actual index difference corresponding to the abnormal index and the endpoint value of the nearest standard range of the index difference is processed to obtain the relative index difference. The relative index difference is processed by taking the ratio with the endpoint value of the nearest standard range of the index difference to obtain the index difference exceeding ratio corresponding to the abnormal index;

[0027] The sum of the index difference exceeding ratios corresponding to all abnormal indexes is averaged to obtain the abnormal exceeding ratio.

[0028] As a further technical solution of the present invention: The obtaining method of the abnormal continuous value is as follows:

[0029] After sequentially numbering each level in the oil drainage process model, obtain the level numbers corresponding to the abnormal indexes when the oil drainage is unqualified and integrate them into a group of level numbers;

[0030] In the group of level numbers, count the number of interval times of the level numbers and process the ratio with the interval times threshold to obtain the interval times ratio;

[0031] In the group of level numbers, count the number of level numbers separated by the level numbers and process the ratio with the number of interval times of the level numbers to obtain the average interval quantity. The average interval quantity is processed by taking the ratio with the total number of level numbers included in the group of level numbers to obtain the interval quantity ratio;

[0032] The sum of the obtained interval times ratio and interval quantity ratio is obtained to get the interval performance value;

[0033] If the interval performance value is less than or equal to the interval performance threshold, mark the unqualified oil drainage as continuous abnormal oil drainage;

[0034] Count the number of occurrences of continuous abnormal oil drainage and process the ratio with the total number of unqualified oil drainage times to obtain the abnormal continuous value.

[0035] As a further technical solution of the present invention: when the continuity of the abnormal indicators is weak during abnormal oil drainage, the process of determining the optimization control sequence is as follows:

[0036] Statistically count all the abnormal indicators that appear when the oil drainage is unqualified, and de-duplicate and integrate them into an optimized indicator group;

[0037] Within the optimized indicator group, based on any one abnormal indicator;

[0038] Statistically count the number of times the abnormal indicator appears within the oil drainage monitoring period, and perform a ratio process with the total number of times all abnormal indicators appear to obtain the appearance frequency ratio;

[0039] Statistically count the ratio of the index difference exceeding each time the abnormal indicator appears, and sum and average them to obtain the average ratio of the index difference exceeding;

[0040] Sum the appearance frequency ratio and the average ratio of the index difference exceeding to obtain the abnormal appearance value of the abnormal indicator;

[0041] Within the optimized indicator group, sort the abnormal indicators according to the abnormal appearance value to determine the optimization control sequence.

[0042] As a further technical solution of the present invention: the method for obtaining the abnormal stability value is as follows:

[0043] When each oil drainage is unqualified, mark the abnormal indicator with the top-ranked hierarchical number as the indicator to be optimized. Integrate the hierarchical numbers corresponding to all the indicators to be optimized into a group of numbers to be optimized, and integrate all the indicators to be optimized into a group of indicators to be optimized;

[0044] Obtain the variance value of the group of numbers to be optimized to get the abnormal stability value.

[0045] As a further technical solution of the present invention: the process of determining the optimization control range and the optimization control sequence according to the stability of the abnormal indicators when the oil drainage is abnormal includes:

[0046] If the stability of the abnormal indicators is weak when the oil drainage is abnormal, de-duplicate the group of indicators to be optimized to obtain a target optimization group. For the abnormal indicators within the target optimization group, statistically count the number of times the abnormal indicator appears within the group of indicators to be optimized, and perform a ratio process with the total number of times the abnormal indicators appear within the group of indicators to be optimized to obtain the abnormal appearance frequency ratio;

[0047] Sort the abnormal indicators within the target optimization group according to the abnormal appearance frequency ratio to obtain the optimization control sequence;

[0048] Among them, the target optimization group is the optimization control range.

[0049] As a further technical solution of the present invention: The process of determining the optimization control range and the optimization control sequence according to the stability of the abnormal indicators when oil drainage is abnormal further includes:

[0050] If the abnormal indicators appear stably when oil drainage is abnormal, sum up the hierarchical numbers in the group of numbers to be optimized and take the average value to obtain the number average value;

[0051] If the number average value is an integer and exists in the group of numbers to be optimized, mark the hierarchical number corresponding to the number average value as the first hierarchical number, and find the hierarchical number closest to the first hierarchical number in the group of numbers to be optimized and mark it as the second hierarchical number. Then, the abnormal indicators corresponding to the first hierarchical number and the second hierarchical number are the optimization control range, and the first hierarchical number and the second hierarchical number are the optimization control sequence;

[0052] If the number average value is not an integer, in the target optimization group, find the two hierarchical numbers closest to the number average value and mark them as the first hierarchical number and the second hierarchical number respectively. Among them, the distance between the first hierarchical number and the number average value is less than the distance between the second hierarchical number and the number average value. Then, the abnormal indicators corresponding to the first hierarchical number and the second hierarchical number are the optimization control range, and the first hierarchical number and the second hierarchical number are the optimization control sequence.

[0053] An oil-water separation oil drainage control system based on online analysis includes:

[0054] An oil drainage data acquisition module: Combine the oil-water separation process and construct an oil drainage process model according to the funnel model principle. During the oil drainage monitoring period, acquire oil drainage data, compare and process the oil drainage data and the oil drainage process model to obtain oil drainage abnormal values;

[0055] An oil drainage abnormal analysis module: Compare the oil drainage abnormal value with the oil drainage abnormal threshold. If the oil drainage abnormal value is greater than the oil drainage abnormal threshold, generate an oil drainage abnormal signal;

[0056] An abnormal continuity analysis module: Based on the oil drainage abnormal signal, obtain the abnormal continuity value, and determine the continuity of the abnormal indicators when oil drainage is abnormal according to the abnormal continuity value. If the continuity of the abnormal indicators when oil drainage is abnormal is strong, generate an analysis signal. If the continuity of the abnormal indicators when oil drainage is abnormal is weak, determine the optimization control sequence;

[0057] An abnormal stability analysis module: Based on the analysis signal, obtain the abnormal stability value, judge the stability of the abnormal indicators when oil drainage is abnormal according to the abnormal stability value, and determine the optimization control range and the optimization control sequence according to the stability of the abnormal indicators when oil drainage is abnormal.

[0058] The beneficial effects of the present invention are as follows:

[0059] 1. The present invention combines the oil-water separation process and constructs an oil drainage process model based on the funnel model principle. During the oil drainage monitoring period, oil drainage data is obtained, and the oil drainage data and the oil drainage process model are compared, processed, and analyzed to obtain oil drainage outliers. According to the comparison result between the oil drainage outliers and the oil drainage outlier threshold, the oil drainage abnormal situation during the oil drainage monitoring period is judged, which is convenient for the subsequent monitoring and optimization of oil-water separation and oil drainage.

[0060] 2. Based on the oil drainage abnormal signal, the present invention obtains abnormal continuous values, determines the continuity of abnormal indicators during oil drainage according to the abnormal continuous values. If the continuity of abnormal indicators is strong during oil drainage, an analysis signal is generated. If the continuity of abnormal indicators is weak during oil drainage, the optimization control sequence is determined. By analyzing the strength of the continuity of abnormal indicators during oil drainage, corresponding operation processing is carried out. When the continuity of abnormal indicators is weak, the abnormal indicators are sorted according to the number of occurrences of the abnormal indicators and the degree of abnormality when they occur, so as to carry out sequential optimization control on the oil-water separation process corresponding to the level where the abnormal indicators are located, which is beneficial to improving the optimization control efficiency.

[0061] 3. By obtaining abnormal stability values, the stability of the occurrence of abnormal indicators during oil drainage is judged according to the abnormal stability values. According to the strength of the stability of the occurrence of abnormal indicators during oil drainage, the optimization control range and the optimization control sequence are determined, which is beneficial to improving the optimization control efficiency of oil-water separation while improving the accuracy of optimization control. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The present invention will be further described below with reference to the accompanying drawings.

[0063] Figure 1 is a step flowchart of an oil-water separation and oil drainage control method based on online analysis according to an embodiment of the present invention;

[0064] Figure 2 is a program block diagram of an oil-water separation and oil drainage control system based on online analysis according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0065] 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 embodiments.

[0066] Embodiment 1

[0067] As Figure 1 shown, an oil-water separation and oil drainage control method based on online analysis according to an embodiment of the present invention includes:

[0068] Step 1: Combine the oil-water separation process and construct an oil drainage process model according to the funnel model principle. During the oil drainage monitoring period, obtain the oil drainage data, and compare and analyze the oil drainage data and the oil drainage process model to obtain the oil drainage outliers;

[0069] Among them, the oil-water separation process includes but is not limited to: the mixture enters the separator, oil-water separation, oil layer accumulation, the oil drainage device starts, and the oil is discharged;

[0070] Take each step of the oil-water separation process in the process order as a level, and set a monitoring index for each level. The monitoring indexes include but are not limited to the oil-water ratio of the entering mixture, separation efficiency, oil layer thickness, start frequency of the oil drainage device, and oil discharge volume:

[0071] It should be noted that each monitoring index corresponds to a level. Among them, the corresponding order is: the mixture enters the separator - the oil-water ratio of the mixture, oil-water separation - separation efficiency, oil layer accumulation - oil layer thickness, the oil drainage device starts - the start frequency of the oil drainage device, oil discharge - oil discharge volume. Among them, the monitoring indexes are set in advance by those skilled in the art according to the oil drainage requirements and oil drainage design;

[0072] Construct the framework of the oil drainage process model based on the obtained levels according to the funnel model principle, and set the monitoring index corresponding to each level as the conversion rate of each level in the oil drainage process model to obtain the oil drainage process model;

[0073] It should be noted that the framework of the oil drainage process model is: the mixture enters the separator - oil-water separation - oil layer accumulation - the oil drainage device starts - oil discharge;

[0074] During the oil drainage monitoring period, whenever an oil drainage is completed, obtain the oil drainage data. Among them, the oil drainage data includes the actual indexes of each level in the oil drainage process model. The actual indexes include but are not limited to the actual oil-water ratio of the entering mixture, actual separation efficiency, actual oil layer thickness, actual start frequency of the oil drainage device, and actual oil discharge volume. And the actual index of each level corresponds to a monitoring index. For example, the monitoring index corresponding to the actual separation efficiency is separation efficiency;

[0075] It should be noted that completing an oil drainage means from the mixture entering the separator to the end of the oil discharge;

[0076] Based on any one of the actual indexes;

[0077] Perform a difference process on the actual index and the corresponding monitoring index to obtain the actual index difference;

[0078] If the actual index difference is within the index difference standard range, no processing is performed;

[0079] If the actual index difference is not within the standard range of the index difference, mark the actual index as an abnormal index;

[0080] It should be noted that the standard range of the index difference is set by those skilled in the art according to experience, and the purpose is to judge whether the actual index meets the requirements during the oil-water separation process;

[0081] Count the number of abnormal indexes in the actual indexes, and perform a ratio process with the number of actual indexes to obtain the abnormal quantity ratio;

[0082] Based on any abnormal index;

[0083] Perform a difference process on the actual index difference corresponding to the abnormal index and the endpoint value of the nearest index difference standard range to obtain the relative index difference, and perform a ratio process on the relative index difference and the endpoint value of the nearest index difference standard range to obtain the index difference exceeding ratio corresponding to the abnormal index;

[0084] Sum and average the index difference exceeding ratios corresponding to all abnormal indexes to obtain the abnormal exceeding ratio;

[0085] Sum the abnormal quantity ratio and the abnormal exceeding ratio to obtain the index abnormality value;

[0086] Compare the index abnormality value with the index abnormality threshold;

[0087] If the index abnormality value is greater than the index abnormality threshold, it indicates that the oil drainage is unqualified;

[0088] If the index abnormality value is less than or equal to the index abnormality threshold, it indicates that the oil drainage is qualified;

[0089] During the oil drainage monitoring period, count the total number of oil drainage times and the number of unqualified oil drainage times, and perform a ratio process on the number of unqualified oil drainage times and the total number of oil drainage times to obtain the unqualified oil drainage ratio;

[0090] Based on the unqualified oil drainage, perform a difference process on the index abnormality value corresponding to the unqualified oil drainage and the index abnormality threshold to obtain the index abnormality difference. Sum and average the index abnormality differences for all unqualified oil drainage times to obtain the average index abnormality difference, and perform a ratio process on the average index abnormality difference and the index abnormality threshold to obtain the index abnormality overstep value;

[0091] Sum the unqualified oil drainage ratio and the index abnormality overstep value to obtain the oil drainage abnormality value;

[0092] Step 2: Compare the oil drainage abnormality value with the oil drainage abnormality threshold. If the oil drainage abnormality value is greater than the oil drainage abnormality threshold, generate an oil drainage abnormality signal;

[0093] Specifically, compare the oil drainage abnormality value with the oil drainage abnormality threshold;

[0094] If the abnormal oil drainage value is greater than the abnormal oil drainage threshold, an abnormal oil drainage signal is generated;

[0095] If the abnormal oil drainage value is less than or equal to the abnormal oil drainage threshold, a normal oil drainage signal is generated;

[0096] The technical solution of the embodiment of the present invention is as follows: The present invention combines the oil-water separation process and constructs an oil drainage process model according to the funnel model principle. During the oil drainage monitoring period, oil drainage data is obtained, and the oil drainage data and the oil drainage process model are compared and processed for analysis to obtain the abnormal oil drainage value. According to the comparison result between the abnormal oil drainage value and the abnormal oil drainage threshold, the abnormal oil drainage situation during the oil drainage monitoring period is judged, which is convenient for the subsequent monitoring and optimization of oil-water separation and oil drainage.

[0097] Embodiment 2

[0098] As Figure 1 shown, based on Embodiment 1, a method for controlling oil-water separation and oil drainage based on online analysis according to an embodiment of the present invention includes:

[0099] Step 3: Based on the abnormal oil drainage signal, obtain the abnormal continuous value, and determine the continuity of the abnormal index when the oil drainage is abnormal according to the abnormal continuous value. If the continuity of the abnormal index when the oil drainage is abnormal is strong, an analysis signal is generated. If the continuity of the abnormal index when the oil drainage is abnormal is weak, the optimization control order is determined;

[0100] Specifically, based on any unqualified oil drainage;

[0101] After sequentially numbering each level in the oil drainage process model, obtain the level number corresponding to the abnormal index when the oil drainage is unqualified, and integrate it into a group of level numbers;

[0102] In the group of level numbers, count the number of intervals of the level numbers, and perform a ratio process with the interval number threshold to obtain the interval number ratio;

[0103] It should be noted that the interval number threshold is set by those skilled in the art according to experience, and the purpose is to judge the continuity of the abnormal index;

[0104] Among them, the number of intervals represents the number of times of discontinuity between adjacent level numbers in the group of level numbers. Exemplarily, assuming that the group of level numbers is (1, 3, 4, 6, 9, 10), then in the group of level numbers, the level numbers 1-3 are discontinuous, the level numbers 4-6 are discontinuous, and the level numbers 6-9 are discontinuous. Then, in the group of level numbers, the number of intervals of the level numbers is 3;

[0105] Within the hierarchical number group, count the number of hierarchical numbers separated between hierarchical numbers, and perform a ratio process with the number of intervals of hierarchical numbers to obtain the average number of intervals. Then, perform a ratio process with the average number of intervals and the total number of hierarchical numbers included in the hierarchical number group to obtain the interval number ratio;

[0106] Exemplarily, assume the hierarchical number group is (1, 3, 4, 6, 9, 10). Then, within the hierarchical number group, the hierarchical numbers 1 - 3 are not continuous, the hierarchical numbers 4 - 6 are not continuous, and the hierarchical numbers 6 - 9 are not continuous. So, the hierarchical numbers separated between hierarchical numbers 1 - 3 are 2, and the quantity is 1. The hierarchical numbers 4 - 6 are not continuous, so the hierarchical numbers separated between hierarchical numbers 4 - 6 are 5, and the quantity is 1. The hierarchical numbers 6 - 9 are not continuous, so the hierarchical numbers separated between hierarchical numbers 6 - 9 are 7, 8, and the quantity is 2;

[0107] Sum up the obtained interval ratio and interval number ratio to get the interval performance value;

[0108] Compare the interval performance value with the interval performance threshold:

[0109] If the interval performance value is greater than the interval performance threshold, do not perform any operation;

[0110] If the interval performance value is less than or equal to the interval performance threshold, it means that the continuity of the abnormal indicators when the oil drainage is unqualified is strong, then mark the unqualified oil drainage as continuous abnormal oil drainage;

[0111] Count the number of occurrences of continuous abnormal oil drainage, and perform a ratio process with the total number of unqualified oil drainage times to obtain the abnormal continuity value;

[0112] Compare the abnormal continuity value with the abnormal continuity threshold;

[0113] If the abnormal continuity value is greater than the abnormal continuity threshold, it means that the continuity of the abnormal indicators when the oil drainage is abnormal is strong, then generate an analysis signal;

[0114] If the abnormal continuity value is less than or equal to the abnormal continuity threshold, it means that the continuity of the abnormal indicators when the oil drainage is abnormal is weak;

[0115] If the continuity of the abnormal indicators when the oil drainage is abnormal is weak, count all the abnormal indicators that appear when the oil drainage is unqualified, and de-duplicate and integrate them into an optimized indicator group;

[0116] Within the optimized indicator group, based on any one abnormal indicator;

[0117] Count the number of times the abnormal indicator appears within the oil drainage monitoring period, and perform a ratio process with the total number of times all abnormal indicators appear to obtain the proportion of the number of occurrences;

[0118] Statistically calculate the ratio of the difference between abnormal indicators each time they appear, sum them up and take the average to obtain the average ratio of the difference between indicators;

[0119] Sum up the percentage of occurrence times and the average ratio of the difference between indicators to obtain the abnormal occurrence value of the abnormal indicator;

[0120] Within the optimized indicator group, sort the abnormal indicators according to the abnormal occurrence value to determine the optimized control order;

[0121] According to the optimized control order, optimize and control the oil-water separation process corresponding to the level where the abnormal indicator is located;

[0122] The technical solution of the embodiment of the present invention is as follows: Based on the abnormal oil discharge signal, the present invention obtains the abnormal continuous value, determines the continuity of the abnormal indicator during abnormal oil discharge according to the abnormal continuous value. If the continuity of the abnormal indicator is strong during abnormal oil discharge, an analysis signal is generated. If the continuity of the abnormal indicator is weak during abnormal oil discharge, the optimized control order is determined. By analyzing the strength of the continuity of the abnormal indicator during abnormal oil discharge, corresponding operation processing is carried out. When the continuity of the abnormal indicator is weak, the abnormal indicators are sorted according to the number of occurrences of the abnormal indicator and the degree of abnormality when it appears, so as to carry out sequential optimization control on the oil-water separation process corresponding to the level where the abnormal indicator is located, which is beneficial to improving the optimization control efficiency.

[0123] Embodiment 3

[0124] As Figure 1 shown, based on Embodiment 1 and Embodiment 2, a method for controlling oil discharge in oil-water separation based on online analysis described in the embodiment of the present invention includes:

[0125] Step 4: Based on the analysis signal, obtain the abnormal stability value, judge the stability of the abnormal indicator during abnormal oil discharge according to the abnormal stability value, and determine the optimized control range and the optimized control order according to the strength of the stability of the abnormal indicator during abnormal oil discharge;

[0126] Specifically, when each oil discharge is unqualified, mark the abnormal indicator with the top-ranked level number as the indicator to be optimized, integrate all the level numbers corresponding to the indicators to be optimized into a group of numbers to be optimized, and integrate all the indicators to be optimized into a group of indicators to be optimized;

[0127] Obtain the variance value of the group of numbers to be optimized to obtain the abnormal stability value;

[0128] Compare the abnormal stability value with the abnormal stability threshold;

[0129] If the abnormal stability value is greater than the abnormal stability threshold, it indicates that the stability of the abnormal indicator during abnormal oil discharge is weak;

[0130] If the abnormal stability value is less than or equal to the abnormal stability threshold, it indicates that the stability of the abnormal index when oil drainage is abnormal is strong;

[0131] If the stability of the abnormal index when oil drainage is abnormal is weak, the duplicate items in the group of indexes to be optimized are removed to obtain the target optimization group. For the abnormal indexes in the target optimization group, count the number of times the abnormal index appears in the group of indexes to be optimized, and perform a ratio process with the total number of times the abnormal index appears in the group of indexes to be optimized to obtain the abnormal occurrence ratio;

[0132] Sort the abnormal indexes in the target optimization group according to the abnormal occurrence ratio to obtain the optimization control order;

[0133] Among them, the target optimization group is the optimization control range;

[0134] If the stability of the abnormal index when oil drainage is abnormal is strong, sum and average the hierarchical numbers in the group of numbers to be optimized to obtain the number average;

[0135] If the number average is an integer and exists in the group of numbers to be optimized, mark the hierarchical number corresponding to the number average as the first hierarchical number, and find the hierarchical number closest to the first hierarchical number in the group of numbers to be optimized and mark it as the second hierarchical number. Then, the abnormal indexes corresponding to the first hierarchical number and the second hierarchical number are the optimization control range, and the first hierarchical number and the second hierarchical number are the optimization control order;

[0136] If the number average is not an integer, in the target optimization group, find the two hierarchical numbers closest to the number average and mark them as the first hierarchical number and the second hierarchical number respectively. Among them, the distance between the first hierarchical number and the number average is less than the distance between the second hierarchical number and the number average. Then, the abnormal indexes corresponding to the first hierarchical number and the second hierarchical number are the optimization control range, and the first hierarchical number and the second hierarchical number are the optimization control order;

[0137] Optimize and control the oil-water separation process according to the optimization control range and the optimization control order;

[0138] The technical solution of the embodiment of the present invention is: by obtaining the abnormal stability value, judging the stability of the abnormal index when oil drainage is abnormal according to the abnormal stability value, and determining the optimization control range and the optimization control order according to the strength of the stability of the abnormal index when oil drainage is abnormal, which is beneficial to improving the optimization control efficiency of oil-water separation and improving the accuracy of optimization control at the same time.

[0139] Embodiment 4

[0140] As Figure 2 shown, an oil-water separation oil drainage control system based on on-line analysis described in the embodiment of the present invention includes:

[0141] Oil drainage data acquisition module: Combining the oil-water separation process and constructing an oil drainage process model according to the funnel model principle. During the oil drainage monitoring period, acquire oil drainage data, compare and process the oil drainage data and the oil drainage process model to obtain oil drainage abnormal values;

[0142] Oil drainage anomaly analysis module: Compare the oil drainage abnormal values with the oil drainage anomaly threshold. If the oil drainage abnormal value is greater than the oil drainage anomaly threshold, generate an oil drainage anomaly signal;

[0143] Anomaly continuity analysis module: Based on the oil drainage anomaly signal, obtain the anomaly continuity value, and determine the continuity of the anomaly index when the oil drainage is abnormal according to the anomaly continuity value. If the continuity of the anomaly index when the oil drainage is abnormal is strong, generate an analysis signal. If the continuity of the anomaly index when the oil drainage is abnormal is weak, determine the optimization control sequence;

[0144] Anomaly stability analysis module: Based on the analysis signal, obtain the anomaly stability value, judge the stability of the anomaly index when the oil drainage is abnormal according to the anomaly stability value, and determine the optimization control range and the optimization control sequence according to the strength of the stability of the anomaly index when the oil drainage is abnormal.

[0145] 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. What is described in the above embodiments and the specification only illustrates 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. An oil-water separation and oil discharge control method based on online analysis, characterized in that: include: Combined with the oil-water separation process and based on the funnel model principle, the oil discharge process model is constructed. During the oil discharge monitoring period, the oil discharge data is obtained, and the oil discharge data and the oil discharge process model are compared and analyzed to obtain the oil discharge abnormal value; The oil discharge abnormality value is compared with the oil discharge abnormality threshold value, and if the oil discharge abnormality value is greater than the oil discharge abnormality threshold value, an oil discharge abnormality signal is generated; Based on the abnormal oil discharge signal, an abnormal continuous value is obtained, and the continuity of the abnormal index when the oil discharge is abnormal is determined according to the abnormal continuous value. If the continuity of the abnormal index when the oil discharge is abnormal is strong, an analysis signal is generated; if the continuity of the abnormal index when the oil discharge is abnormal is weak, an optimization control sequence is determined; Based on the analysis signal, the abnormal stability value is obtained, and the stability of the abnormal indicators when the oil discharge is abnormal is judged according to the abnormal stability value. According to the strength of the stability of the abnormal indicators when the oil discharge is abnormal, the optimization control range and the optimization control sequence are determined.

2. The oil-water separation and oil discharge control method based on online analysis according to claim 1 is characterized by: The oil discharge process model is constructed as follows: Treat each step of the oil-water separation process as a level in the process sequence, and set a monitoring indicator for each level, where the monitoring indicators include but are not limited to the oil-water ratio entering the mixture, separation efficiency, oil layer thickness, oil discharge device start-up frequency, and oil discharge volume; The obtained levels are used to construct the oil discharge process model framework according to the funnel model principle, and the monitoring indicators corresponding to each level are set as the conversion rate of each level in the oil discharge process model to obtain the oil discharge process model.

3. The oil-water separation and oil discharge control method based on online analysis according to claim 1 is characterized by: The method for obtaining the oil discharge abnormal value is as follows: During the oil discharge monitoring cycle, each time an oil discharge is completed, the oil discharge data is obtained, wherein the oil discharge data includes actual indicators at each level in the oil discharge process model; Perform difference processing on the actual index and the corresponding monitoring index to obtain the actual index difference; If the actual indicator difference is not within the indicator difference standard range, the actual indicator is marked as an abnormal indicator; Process and analyze the abnormal indicators to obtain the abnormal quantity ratio and abnormal excess ratio, and sum them up to obtain the indicator abnormal value; If the indicator abnormal value is greater than the indicator abnormal threshold, it means that the oil discharge is unqualified; During the oil discharge monitoring period, the total number of oil discharges and the number of unqualified oil discharges are counted, and the number of unqualified oil discharges is ratioed to the total number of oil discharges to obtain the unqualified oil discharge ratio; Based on the unqualified oil discharge, the indicator abnormal value corresponding to the unqualified oil discharge is processed with the indicator abnormal threshold value to obtain the indicator abnormal difference, the indicator abnormal differences of all the unqualified oil discharges are summed and averaged to obtain the mean of the indicator abnormal differences, and the mean of the indicator abnormal differences is processed with the indicator abnormal threshold value to obtain the indicator abnormal over-limit value; The oil discharge failure ratio and the abnormal index exceeding the limit value are summed to obtain the oil discharge abnormal value.

4. The oil-water separation and oil discharge control method based on online analysis according to claim 3 is characterized by: The method for obtaining the abnormal quantity ratio and the abnormal excess ratio is as follows: Count the number of abnormal indicators in the actual indicators, and perform ratio processing with the number of actual indicators to obtain the abnormal number ratio; Perform difference processing on the actual indicator difference corresponding to the abnormal indicator and the endpoint value of the adjacent and nearest indicator difference standard range to obtain the relative indicator difference, and perform ratio processing on the relative indicator difference and the endpoint value of the adjacent and nearest indicator difference standard range to obtain the indicator difference excess ratio corresponding to the abnormal indicator; The indicator difference excess ratios corresponding to all abnormal indicators are summed and averaged to obtain the abnormal excess ratio.

5. The oil-water separation and oil discharge control method based on online analysis according to claim 1 is characterized by: The abnormal continuous value is obtained in the following way: After sequentially numbering each level in the oil discharge process model, the level number corresponding to the abnormal indicator when the oil discharge is unqualified is obtained and integrated into a level number group; In the level number group, the interval times of the level numbers are counted, and the ratio is processed with the interval times threshold to obtain the interval times ratio; In the level number group, the number of level numbers between the level numbers is counted, and the number is compared with the number of intervals between the level numbers to obtain the mean of the number of intervals, and the mean of the number of intervals is compared with the total number of level numbers included in the level number group to obtain the ratio of the number of intervals; The obtained interval frequency ratio and interval quantity ratio are summed to obtain the interval performance value; If the interval performance value is less than or equal to the interval performance threshold, the oil discharge failure is marked as continuous abnormal oil discharge; The number of consecutive abnormal oil discharges is counted and compared with the total number of unqualified oil discharges to obtain the abnormal continuous value.

6. The oil-water separation and oil discharge control method based on online analysis according to claim 3 is characterized by: If the continuity of abnormal indicators is weak when the oil discharge is abnormal, the process of determining the optimal control sequence is: Count all abnormal indicators that appear when oil discharge fails, and remove the heavy ones and integrate them into an optimized indicator group; In the optimization indicator group, based on any abnormal indicator; The number of times the abnormal indicators appear during the oil discharge monitoring period is counted, and the ratio is processed with the total number of times all abnormal indicators appear to obtain the proportion of the number of occurrences; The indicator difference-exceedance ratio is counted each time an abnormal indicator appears, and the sum is taken to get the average value to obtain the indicator difference-exceedance ratio mean; The occurrence ratio and the index difference excess ratio are summed to obtain the abnormal occurrence value of the abnormal index; In the optimization indicator group, the abnormal indicators are sorted according to the abnormal occurrence values ​​to determine the optimization control order.

7. The oil-water separation and oil discharge control method based on online analysis according to claim 3 is characterized by: The abnormal stability value is obtained in the following manner: Each time when the oil discharge fails, the abnormal indicator with the first level number is marked as the indicator to be optimized, the level numbers corresponding to all indicators to be optimized are integrated into a number group to be optimized, and all indicators to be optimized are integrated into an indicator group to be optimized; Obtain the variance value of the number group to be optimized and obtain the abnormal stability value.

8. The oil-water separation and oil discharge control method based on online analysis according to claim 7 is characterized by: The process of determining the optimization control range and the optimization control sequence according to the stability of the abnormal indicators when the oil discharge is abnormal includes: If the stability of abnormal indicators is weak when the oil discharge is abnormal, the indicator group to be optimized is deduplicated to obtain the target optimization group. For the abnormal indicators in the target optimization group, the number of times the abnormal indicators appear in the indicator group to be optimized is counted, and the ratio is processed with the total number of times the abnormal indicators appear in the indicator group to be optimized to obtain the abnormal occurrence ratio; The abnormal indicators in the target optimization group are sorted according to the abnormal occurrence frequency ratio to obtain the optimization control order; Among them, the target optimization group is the optimization control range.

9. The oil-water separation and oil discharge control method based on online analysis according to claim 8, characterized in that: The process of determining the optimization control range and the optimization control sequence according to the stability of the abnormal indicators when the oil discharge is abnormal also includes: If the abnormal indicators appear stable when the oil discharge is abnormal, the level numbers in the number group to be optimized are summed and averaged to obtain the number mean; If the number mean is an integer and exists in the number group to be optimized, the level number corresponding to the number mean is marked as the first level number, and the level number closest to the first level number is found in the number group to be optimized and marked as the second level number. The abnormal indicators corresponding to the first level number and the second level number are the optimization control range, and the first level number and the second level number are the optimization control order; If the number mean is not an integer, then in the target optimization group, find the two level numbers closest to the number mean, and mark them as the first level number and the second level number respectively, where the distance between the first level number and the number mean is smaller than the distance between the second level number and the number mean, then the abnormal indicators corresponding to the first level number and the second level number are the optimization control range, and the first level number and the second level number are the optimization control order.

10. An oil-water separation and oil discharge control system based on online analysis, characterized in that: include: Oil discharge data acquisition module: Combine the oil-water separation process and build an oil discharge process model based on the funnel model principle. During the oil discharge monitoring period, obtain oil discharge data, compare and analyze the oil discharge data and the oil discharge process model to obtain oil discharge abnormal values; Oil discharge abnormality analysis module: compares the oil discharge abnormality value with the oil discharge abnormality threshold. If the oil discharge abnormality value is greater than the oil discharge abnormality threshold, an oil discharge abnormality signal is generated. Abnormal continuity analysis module: based on the abnormal oil discharge signal, obtain the abnormal continuity value, determine the continuity of abnormal indicators when the oil discharge is abnormal according to the abnormal continuity value, if the continuity of abnormal indicators when the oil discharge is abnormal is strong, generate an analysis signal, if the continuity of abnormal indicators when the oil discharge is abnormal is weak, determine the optimization control sequence; Abnormal stability analysis module: Based on the analysis signal, the abnormal stability value is obtained, and the stability of abnormal indicators when the oil discharge is abnormal is judged according to the abnormal stability value. According to the strength of the stability of abnormal indicators when the oil discharge is abnormal, the optimization control range and optimization control sequence are determined.

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