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

Abstract

The present application 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, which comprises the following steps: combining an oil-water separation process and constructing an oil discharge process model according to a funnel model principle, comparing and processing the oil discharge data and the oil discharge process model, obtaining an oil discharge abnormal value, judging the oil discharge abnormality in an oil discharge monitoring period, obtaining a continuous abnormal value, determining the continuity of the abnormal index when the oil discharge is abnormal, performing corresponding operation processing according to the strength of the continuity, thereby sequentially optimizing and controlling the oil-water separation process corresponding to the level of the abnormal index, obtaining an abnormal stability value, judging the stability of the abnormal index when the oil discharge is abnormal according to the abnormal stability value, determining the optimization control range and the optimization control sequence according to the strength of the stability of the abnormal index when the oil discharge is abnormal, and thus the optimization control efficiency of the oil-water separation is improved, and the accuracy of the optimization control is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of oil-water separation treatment, and particularly relates to an oil-water separation oil discharge control system and method based on online analysis. BACKGROUND

[0002] In real life, a large amount of oil-water is generated in the treatment of kitchen food, and the oil-water generated in the kitchen can be separated, which not only realizes the recycling of oil, but also helps to reduce environmental pollution caused by oil-water, so it is of great significance to study an oil-water separation oil discharge control system and method based on online analysis.

[0003] A Chinese patent application with the publication number CN108334714A discloses an oil-water separator oil discharge pipe control system and method based on a fuzzy neural network, which comprises: collecting 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 to output the current value of the oil discharge control of the oil discharge pipe, and controlling the opening and closing actions 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 processing procedures for oil-water separation, and the overall procedure is complex. When an abnormality occurs in oil-water separation, one-by-one abnormality monitoring is performed, which leads to untimely monitoring. In addition, in the monitoring analysis existing in the prior art, there is a lack of monitoring of the abnormality continuity and abnormality stability of oil-water separation. For example, an abnormality in a certain step of oil-water separation leads to continuous abnormality in subsequent separation steps and whether the separation step that first starts to be abnormal each time is stable. If the lack exists, the determination of the optimization control range cannot be performed according to the abnormality continuity and abnormality stability of oil-water separation, so as to improve the efficiency and accuracy of the optimization control of oil-water separation monitoring.

[0005] Therefore, the application provides an oil-water separation oil discharge control system and method based on online analysis. SUMMARY

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

[0007] The technical solution adopted by the application to solve the technical problem is: an oil-water separation oil discharge control method based on online analysis, comprising:

[0008] An oil discharge data is obtained in an oil discharge monitoring period, and the oil discharge data and an oil discharge process model are compared and processed to obtain an oil discharge abnormal value according to the oil-water separation process and the principle of the funnel model.

[0009] The oil discharge abnormal value is compared with an oil discharge abnormal threshold value, and if the oil discharge abnormal value is greater than the oil discharge abnormal threshold value, an oil discharge abnormality signal is generated.

[0010] Based on the oil discharge abnormal signal, an abnormal continuous value is obtained, the continuity of the abnormal index appearing when the oil discharge is abnormal is determined according to the abnormal continuous value, if the continuity of the abnormal index appearing when the oil discharge is abnormal is strong, an analysis signal is generated, if the continuity of the abnormal index appearing when the oil discharge is abnormal is weak, an optimization control sequence is determined;

[0011] Based on the analysis signal, an abnormal stability value is obtained, the stability of the abnormal index appearing when the oil discharge is abnormal is judged according to the abnormal stability value, the optimization control range and the optimization control sequence are determined according to the stability of the abnormal index appearing when the oil discharge is abnormal.

[0012] As a further technical solution of the present application, the construction method of the oil discharge process model is:

[0013] Each step of the oil-water separation process is taken as a level according to the process sequence, and a monitoring index is set for each level, wherein the monitoring index includes but is not limited to the oil-water ratio of the entering mixture, the separation efficiency, the oil layer thickness, the oil discharge device start frequency and the oil discharge amount.

[0014] The obtained level is used to construct an oil discharge process model framework according to the funnel model principle, and the monitoring index corresponding to each level is set as the conversion rate of each level in the oil discharge process model, so as to obtain the oil discharge process model.

[0015] As a further technical solution of the present application, the acquisition method of the oil discharge abnormal value is:

[0016] In the oil discharge monitoring period, the oil discharge data is obtained after each oil discharge is completed, wherein the oil discharge data includes the actual index of each level in the oil discharge process model.

[0017] The actual index and the corresponding monitoring index are processed by difference to obtain the actual index difference.

[0018] If the actual index difference is not within the index difference standard range, the actual index is marked as an abnormal index.

[0019] The abnormal index is processed and analyzed to obtain an abnormal quantity ratio and an abnormal exceeding ratio, and the sum is obtained to obtain an index abnormal value.

[0020] If the index abnormal value is greater than the index abnormal threshold value, it indicates that the oil discharge is unqualified.

[0021] In 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 processed by ratio with the total number of oil discharges to obtain an unqualified oil discharge ratio.

[0022] Based on the oil discharging unqualified, the index abnormal value corresponding to the oil discharging unqualified is subjected to difference processing with the index abnormal threshold value, to obtain an index abnormal difference, the index abnormal differences of all oil discharging unqualified are summed and averaged to obtain an index abnormal difference average, the index abnormal difference average is subjected to ratio processing with the index abnormal threshold value to obtain an index abnormal out-of-range value;

[0023] The oil discharging abnormal value is obtained by summing the oil discharging unqualified ratio and the index abnormal out-of-range value.

[0024] As a further technical solution of the application, the abnormal number ratio and the abnormal exceeding ratio are obtained in the following manner:

[0025] The number of abnormal indexes in the actual indexes is counted and subjected to ratio processing with the number of actual indexes to obtain an abnormal number ratio;

[0026] The actual index difference corresponding to the abnormal index is subjected to difference processing with the adjacent nearest index difference standard range endpoint value to obtain a relative index difference, and the relative index difference is subjected to ratio processing with the adjacent nearest index difference standard range endpoint value to obtain an index difference exceeding ratio corresponding to the abnormal index;

[0027] The index difference exceeding ratios corresponding to all abnormal indexes are summed and averaged to obtain an abnormal exceeding ratio.

[0028] As a further technical solution of the application, the abnormal continuous value is obtained in the following manner:

[0029] After sequentially numbering the levels in the oil discharging process model, the level numbers corresponding to the abnormal indexes when the oil discharging is unqualified are obtained and integrated into a level number group;

[0030] In the level number group, the interval number of the level numbers is counted and subjected to ratio processing with the interval number threshold value to obtain an interval number ratio;

[0031] In the level number group, the number of level numbers spaced between the level numbers is counted and subjected to ratio processing with the interval number of the level numbers to obtain an interval number average, and the interval number average is subjected to ratio processing with the total number of level numbers contained in the level number group to obtain an interval number ratio;

[0032] The obtained interval number ratio and interval number ratio are summed to obtain an interval performance value;

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

[0034] The number of continuous abnormal oil discharging is counted and subjected to ratio processing with the total number of oil discharging unqualified to obtain an abnormal continuous value.

[0035] As a further technical solution of the present application is: the continuity of the abnormal indicators appearing when the oil discharge is abnormal is weak, and the process of determining the optimization control sequence is:

[0036] All abnormal indicators appearing when the oil discharge is unqualified are counted and integrated into an optimization index group after deduplication;

[0037] In the optimization index group, based on any one abnormal indicator;

[0038] The number of times of the abnormal indicator appearing in the oil discharge monitoring period is counted, and the ratio processing is performed with the total number of times of all abnormal indicators to obtain the number of times ratio;

[0039] The index difference exceeding ratio of each appearance of the abnormal indicator is summed and averaged to obtain the index difference exceeding ratio average;

[0040] The number of times ratio and the index difference exceeding ratio average are summed to obtain the abnormal appearance value of the abnormal indicator;

[0041] In the optimization index group, the abnormal indicators are sorted according to the abnormal appearance value to determine the optimization control sequence.

[0042] As a further technical solution of the present application is: the acquisition method of the abnormal stability value is:

[0043] Mark the abnormal indicator ranked first in the level number each time the oil discharge is unqualified as a to-be-optimized indicator, integrate the level numbers corresponding to all to-be-optimized indicators into a to-be-optimized number group, and integrate all to-be-optimized indicators into a to-be-optimized indicator group;

[0044] Obtain the variance value of the to-be-optimized number group to obtain the abnormal stability value.

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

[0046] If the stability of the abnormal indicators appearing when the oil discharge is abnormal is weak, the to-be-optimized indicator group is deduplicated to obtain a target optimization group, and for the abnormal indicators in the target optimization group, the number of times of the abnormal indicators appearing in the to-be-optimized indicator group is counted, and the ratio processing is performed with the total number of times of the abnormal indicators appearing in the to-be-optimized indicator group to obtain the abnormal appearance number ratio;

[0047] The abnormal indicators in the target optimization group are sorted according to the abnormal appearance number ratio to obtain the optimization control sequence;

[0048] The target optimization group is the optimization control range.

[0049] As a further technical solution of the present application, the process of determining the optimization control range and the optimization control sequence according to the stability of the abnormal index appearing during the oil discharge abnormality further comprises:

[0050] If the stability of the abnormal index appearing during the oil discharge abnormality is strong, the hierarchical numbers in the to-be-optimized number group are summed and averaged to obtain a number average value;

[0051] If the number average value is an integer and exists in the to-be-optimized number group, the hierarchical number corresponding to the number average value is marked as a first hierarchical number, and the nearest hierarchical number adjacent to the first hierarchical number in the to-be-optimized number group is found and marked as a second hierarchical number, and 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 sequence;

[0052] If the number average value is not an integer, the two hierarchical numbers adjacent to the number average value in the target optimization group are found and marked as a first hierarchical number and a second hierarchical number, wherein 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, and 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 sequence.

[0053] An oil-water separation oil discharge control system based on online analysis, comprising:

[0054] An oil discharge data acquisition module: combining the oil-water separation process and constructing an oil discharge process model according to the funnel model principle, obtaining oil discharge data in the oil discharge monitoring period, comparing and processing the oil discharge data and the oil discharge process model to obtain oil discharge abnormal values;

[0055] An oil discharge abnormality analysis module: comparing the oil discharge abnormal values with an oil discharge abnormal threshold value, and generating an oil discharge abnormal signal if the oil discharge abnormal values are greater than the oil discharge abnormal threshold value;

[0056] An abnormality continuity analysis module: based on the oil discharge abnormal signal, obtaining an abnormality continuity value, determining the continuity of the abnormal index appearing during the oil discharge abnormality according to the abnormality continuity value, generating an analysis signal if the continuity of the abnormal index appearing during the oil discharge abnormality is strong, and determining the optimization control sequence if the continuity of the abnormal index appearing during the oil discharge abnormality is weak;

[0057] An abnormality stability analysis module: based on the analysis signal, obtaining an abnormality stability value, judging the stability of the abnormal index appearing during the oil discharge abnormality according to the abnormality stability value, and determining the optimization control range and the optimization control sequence according to the stability of the abnormal index appearing during the oil discharge abnormality.

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

[0059] 1. The application combines the oil-water separation process and constructs the oil discharge process model according to the funnel model principle, obtains the oil discharge data in the oil discharge monitoring period, compares and processes the oil discharge data and the oil discharge process model, obtains the oil discharge abnormal value, judges the oil discharge abnormality in the oil discharge monitoring period according to the comparison result of the oil discharge abnormal value and the oil discharge abnormal threshold, and is convenient for subsequent monitoring and optimization of oil-water separation and oil discharge.

[0060] 2. The application obtains the abnormal continuous value based on the oil discharge abnormal signal, determines the continuity of the abnormal index when the oil discharge is abnormal according to the abnormal continuous value, generates an analysis signal if the continuity of the abnormal index when the oil discharge is abnormal is strong, and determines the optimization control sequence if the continuity of the abnormal index when the oil discharge is abnormal is weak. The application analyzes the strength and weakness of the continuity of the abnormal index when the oil discharge is abnormal, performs corresponding operation processing, sorts the abnormal index according to the number of occurrences and the abnormal degree when the abnormal index occurs when the continuity of the abnormal index is weak, thereby sequentially optimizing and controlling the oil-water separation process corresponding to the level of the abnormal index, and is beneficial to improving the optimization control efficiency.

[0061] 3. The application judges the stability of the abnormal index when the oil discharge is abnormal according to the abnormal stability value, determines the optimization control range and the optimization control sequence according to the strength and weakness of the stability of the abnormal index when the oil discharge is abnormal, is beneficial to improving the optimization control efficiency of the oil-water separation and improving the accuracy of the optimization control. BRIEF DESCRIPTION OF DRAWINGS

[0062] The application will be further described below in combination with the drawings.

[0063] Figure 1 is a step flow chart of an oil-water separation and oil discharge control method based on online analysis according to an embodiment of the application;

[0064] Figure 2 is a program block diagram of an oil-water separation and oil discharge control system based on online analysis according to an embodiment of the application. DETAILED DESCRIPTION

[0065] In order to make the technical means, creative features, purposes and effects of the application easy to understand, the application will be further described below in combination with specific embodiments.

[0066] Embodiment 1

[0067] As shown in Figure 1 , the oil-water separation and oil discharge control method based on online analysis according to an embodiment of the application comprises:

[0068] Step one: combine the oil-water separation process and construct the oil discharge process model based on the funnel model principle, obtain the oil discharge data in the oil discharge monitoring period, compare and process the oil discharge data and the oil discharge process model, and obtain the oil discharge abnormal value;

[0069] The oil-water separation process includes but is not limited to: mixture entering the separator, oil-water separation, oil layer accumulation, oil discharge device starting, and oil discharge.

[0070] Each step of the oil-water separation process is regarded as a level according to the process sequence, and a monitoring index is set for each level, wherein the monitoring index includes but is not limited to the oil-water ratio of the entering mixture, the separation efficiency, the oil layer thickness, the oil discharge device starting frequency, and the oil discharge amount:

[0071] It should be noted that each monitoring index corresponds to a level, wherein the corresponding sequence is: mixture entering the separator - oil-water ratio of the entering mixture, oil-water separation - separation efficiency, oil layer accumulation - oil layer thickness, oil discharge device starting - oil discharge device starting frequency, and oil discharge - oil discharge amount, wherein the monitoring index is set in advance by a person skilled in the art according to the oil discharge requirement and the oil discharge design;

[0072] The obtained level is used to construct the oil discharge process model framework according to the funnel model principle, and the monitoring index corresponding to each level is set as the conversion rate of each level in the oil discharge process model, thereby obtaining the oil discharge process model.

[0073] It should be noted that the oil discharge process model framework is: mixture entering the separator - oil-water separation - oil layer accumulation - oil discharge device starting - oil discharge.

[0074] In the oil discharge monitoring period, the oil discharge data is obtained after each oil discharge is completed, wherein the oil discharge data includes the actual index of each level in the oil discharge process model, wherein the actual index includes but is not limited to the actual oil-water ratio of the entering mixture, the actual separation efficiency, the actual oil layer thickness, the actual oil discharge device starting frequency, and the actual oil discharge amount, and the actual index of each level corresponds to a monitoring index, for example, the actual separation efficiency corresponds to the monitoring index of separation efficiency.

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

[0076] Based on any one actual index;

[0077] The actual index and the corresponding monitoring index are subjected to difference processing 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 index difference standard range, the actual index is marked as an abnormal index;

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

[0081] The number of abnormal indexes in the actual index is counted and ratio processed with the number of actual indexes to obtain an abnormal number ratio;

[0082] Based on any one abnormal index;

[0083] The actual index difference corresponding to the abnormal index is difference processed with the adjacent nearest index difference standard range endpoint value to obtain a relative index difference, and the relative index difference is ratio processed with the adjacent nearest index difference standard range endpoint value to obtain an index difference exceeding ratio corresponding to the abnormal index;

[0084] The index difference exceeding ratios corresponding to all abnormal indexes are summed and averaged to obtain an abnormal exceeding ratio;

[0085] The abnormal number ratio and the abnormal exceeding ratio are summed to obtain an index abnormal value;

[0086] The index abnormal value is compared with an index abnormal threshold value;

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

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

[0089] In 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 ratio processed with the total number of oil discharges to obtain an oil discharge unqualified ratio;

[0090] Based on the oil discharge unqualified, the index abnormal value corresponding to the oil discharge unqualified is difference processed with the index abnormal threshold value to obtain an index abnormal difference, the index abnormal differences of all oil discharge unqualified are summed and averaged to obtain an index abnormal difference average, and the index abnormal difference average is ratio processed with the index abnormal threshold value to obtain an index abnormal out-of-range value;

[0091] The oil discharge unqualified ratio and the index abnormal out-of-range value are summed to obtain an oil discharge abnormal value;

[0092] Step two: compare the oil discharge abnormal value with an oil discharge abnormal threshold value, and if the oil discharge abnormal value is greater than the oil discharge abnormal threshold value, an oil discharge abnormal signal is generated;

[0093] Specifically, the oil discharge abnormal value is compared with the oil discharge abnormal threshold value;

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

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

[0096] The technical scheme of the embodiment of the present application is as follows: The present application combines the oil-water separation process and constructs an oil discharge process model according to the funnel model principle. In an oil discharge monitoring period, oil discharge data is obtained, and the oil discharge data and the oil discharge process model are compared and processed for analysis to obtain an oil discharge abnormal value. According to the comparison result of the oil discharge abnormal value and the oil discharge abnormal threshold value, the oil discharge abnormality in the oil discharge monitoring period is judged, which is convenient for subsequent monitoring and optimization of oil-water separation and oil discharge.

[0097] Embodiment 2

[0098] As shown in Figure 1 Based on the basis of embodiment 1, the oil-water separation and oil discharge control method based on online analysis according to the embodiment of the present application comprises:

[0099] Step three: based on the oil discharge abnormal signal, an abnormal continuous value is obtained, and the continuity of the abnormal index appearing when the oil discharge is abnormal is determined according to the abnormal continuous value. If the continuity of the abnormal index appearing when the oil discharge is abnormal is strong, an analysis signal is generated. If the continuity of the abnormal index appearing when the oil discharge is abnormal is weak, the optimization control sequence is determined;

[0100] Specifically, based on any one-time oil discharge unqualified;

[0101] After sequentially numbering each level in the oil discharge process model, the level number corresponding to the abnormal index when the oil discharge is unqualified is obtained, and is integrated into a level number group;

[0102] In the level number group, the interval number of the level number is counted, and is processed by ratio with the interval number threshold value to obtain an interval number ratio;

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

[0104] The interval number represents the number of discontinuities between adjacent level numbers in the level number group. For example, assuming that the level number group is (1, 3, 4, 6, 9, 10), then in the level number group, the level numbers 1-3 are discontinuous, the level numbers 4-6 are discontinuous, and the level numbers 6-9 are discontinuous. Therefore, the interval number of the level number in the level number group is 3.

[0105] In the hierarchical number group, the number of hierarchical numbers spaced between the hierarchical numbers is counted, and the number of hierarchical numbers is processed by ratio, to obtain the interval number average, and the total number of hierarchical numbers contained in the hierarchical number group is processed by ratio, to obtain the interval number ratio;

[0106] For example, assuming that the hierarchical number group is (1, 3, 4, 6, 9, 10), then in the hierarchical number group, the hierarchical numbers 1-3 are discontinuous, the hierarchical numbers 4-6 are discontinuous, and the hierarchical numbers 6-9 are discontinuous, then the hierarchical numbers 1-3 are spaced by 2, the number is 1, the hierarchical numbers 4-6 are discontinuous, then the hierarchical numbers 4-6 are spaced by 5, the number is 1, the hierarchical numbers 6-9 are discontinuous, then the hierarchical numbers 6-9 are spaced by 7, 8, the number is 2;

[0107] The interval performance value is obtained by summing the interval number ratio and the interval number ratio;

[0108] The interval performance value is compared with the interval performance threshold value:

[0109] If the interval performance value is greater than the interval performance threshold value, no operation is performed;

[0110] If the interval performance value is less than or equal to the interval performance threshold value, it indicates that the continuity of the abnormal index appearing when the oil discharge is unqualified is strong, and the oil discharge unqualified is marked as continuous abnormal oil discharge;

[0111] The number of times of continuous abnormal oil discharge is counted, and the total number of times of oil discharge unqualified is processed by ratio, to obtain the abnormal continuity value;

[0112] The abnormal continuity value is compared with the abnormal continuity threshold value;

[0113] If the abnormal continuity value is greater than the abnormal continuity threshold value, it indicates that the continuity of the abnormal index when the oil discharge is abnormal is strong, and an analysis signal is generated;

[0114] If the abnormal continuity value is less than or equal to the abnormal continuity threshold value, it indicates that the continuity of the abnormal index when the oil discharge is abnormal is weak;

[0115] If the continuity of the abnormal index when the oil discharge is abnormal is weak, all abnormal indexes appearing when the oil discharge is unqualified are counted and de-duplicated to form an optimization index group;

[0116] In the optimization index group, based on any one abnormal index;

[0117] The number of times of the abnormal index appearing in the oil discharge monitoring period is counted, and the total number of times of all abnormal indexes appearing is processed by ratio, to obtain the occurrence frequency ratio;

[0118] Sum the index difference exceeding ratio each time the statistical abnormal index appears, and take the average to obtain the index difference exceeding ratio average;

[0119] Sum the occurrence ratio and the index difference exceeding ratio average to obtain the abnormal occurrence value of the abnormal index;

[0120] In the optimization index group, the abnormal index is sorted according to the abnormal occurrence value to determine the optimization control order;

[0121] According to the optimization control order, the oil-water separation process corresponding to the level of the abnormal index is optimized and controlled;

[0122] The technical scheme of the embodiment of the application is as follows: Based on the oil discharge abnormal signal, the abnormal continuous value is obtained, 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, the optimization control order is determined, the application analyzes the strength and weakness of the continuity of the abnormal index when the oil discharge is abnormal, and performs corresponding operation processing, when the continuity of the abnormal index is weak, the abnormal index is sorted according to the number of occurrences and the abnormal degree when the abnormal index occurs, so that the oil-water separation process corresponding to the level of the abnormal index is sequentially optimized and controlled, which is beneficial to improve the optimization control efficiency.

[0123] Embodiment 3

[0124] As shown in Figure 1 Based on the basis of embodiment 1 and embodiment 2, the oil-water separation oil discharge control method based on online analysis provided by the embodiment of the application comprises:

[0125] Step 4: Based on the analysis signal, the abnormal stability value is obtained, the stability of the abnormal index when the oil discharge is abnormal is judged according to the abnormal stability value, and the optimization control range and the optimization control order are determined according to the strength and weakness of the stability of the abnormal index when the oil discharge is abnormal;

[0126] Specifically, the abnormal index with the first ranking level number when each oil discharge is unqualified is marked as a to-be-optimized index, the level numbers corresponding to all to-be-optimized indexes are integrated into a to-be-optimized number group, and all to-be-optimized indexes are integrated into a to-be-optimized index group;

[0127] The variance value of the to-be-optimized number group is obtained to obtain the abnormal stability value;

[0128] The abnormal stability value is compared with the abnormal stability threshold value;

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

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

[0131] If the stability of the abnormal index appearing when the oil discharge is abnormal is weak, the target optimization group is obtained by removing the to-be-optimized index group, for the abnormal index in the target optimization group, the number of times of the abnormal index appearing in the to-be-optimized index group is counted, and ratio processing is performed with the total number of times of the abnormal index appearing in the to-be-optimized index group, to obtain an abnormal occurrence number ratio;

[0132] The abnormal index in the target optimization group is sorted according to the abnormal occurrence number ratio, to obtain an optimization control sequence;

[0133] The target optimization group is the optimization control range.

[0134] If the stability of the abnormal index appearing when the oil discharge is abnormal is strong, the level numbers in the to-be-optimized number group are summed and averaged to obtain a number average;

[0135] If the number average is an integer and exists in the to-be-optimized number group, the level number corresponding to the number average is marked as a first level number, and the nearest level number adjacent to the first level number in the to-be-optimized number group is found and marked as a second level number, and the abnormal index corresponding to the first level number and the second level number is the optimization control range, and the first level number and the second level number are the optimization control sequence.

[0136] If the number average is not an integer, in the target optimization group, the two level numbers adjacent to the number average are found and marked as a first level number and a second level number, respectively, wherein the distance between the first level number and the number average is less than the distance between the second level number and the number average, and the abnormal index corresponding to the first level number and the second level number is the optimization control range, and the first level number and the second level number are the optimization control sequence.

[0137] The oil-water separation process is optimized and controlled according to the optimization control range and the optimization control sequence.

[0138] The technical scheme of the embodiment of the application is as follows: by obtaining an abnormal stability value, judging the stability of the abnormal index appearing when the oil discharge is abnormal according to the abnormal stability value, determining the optimization control range and the optimization control sequence according to the strength and weakness of the stability of the abnormal index appearing when the oil discharge is abnormal, the oil-water separation optimization control efficiency is improved, and the precision of the optimization control is improved.

[0139] Embodiment 4

[0140] As shown in Figure 2 The oil-water separation oil discharge control system based on online analysis comprises:

[0141] Oil discharge data acquisition module: combine the oil-water separation process and construct the oil discharge process model according to the funnel model principle, obtain the oil discharge data in the oil discharge monitoring period, compare and process the oil discharge data and the oil discharge process model, and obtain the oil discharge abnormal value;

[0142] Oil discharge abnormality analysis module: compare the oil discharge abnormal value with the oil discharge abnormal threshold value, if the oil discharge abnormal value is greater than the oil discharge abnormal threshold value, an oil discharge abnormal signal is generated;

[0143] Abnormal continuous analysis module: based on the oil discharge abnormal signal, obtain the abnormal continuous value, determine the continuity of the abnormal index appearing when the oil discharge is abnormal according to the abnormal continuous value, if the continuity of the abnormal index appearing when the oil discharge is abnormal is strong, an analysis signal is generated, if the continuity of the abnormal index appearing when the oil discharge is abnormal is weak, the optimization control sequence is determined;

[0144] Abnormal stability analysis module: based on the analysis signal, obtain the abnormal stability value, judge the stability of the abnormal index appearing when the oil discharge is abnormal according to the abnormal stability value, determine the optimization control range and the optimization control sequence according to the stability of the abnormal index appearing when the oil discharge is abnormal.

[0145] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for controlling oil-water separation and discharge based on online analysis, characterized in that: include: Combining the oil-water separation process and constructing an oil discharge process model based on the principle of the funnel model, oil discharge data is acquired during the oil discharge monitoring period. The oil discharge data and the oil discharge process model are compared, processed, and analyzed to obtain abnormal oil discharge values. The method for obtaining the abnormal oil discharge values ​​is as follows: During the oil discharge monitoring cycle, oil discharge data is acquired after each oil discharge is completed. The oil discharge data includes the actual indicators of each level in the oil discharge process model. The difference between the actual indicator and the corresponding monitoring indicator is calculated to obtain the actual indicator difference. If the actual indicator difference is outside the standard range, the actual indicator will be marked as an abnormal indicator. The abnormal indicators are processed and analyzed to obtain the ratio of abnormal numbers and the ratio of abnormal exceedances, and the sum is used to obtain the abnormal value of the indicators. If the abnormal value of the indicator is greater than the abnormal threshold, it means that the oil discharge is not up to standard; During the oil discharge monitoring cycle, the total number of oil discharges and the number of oil discharge failures are counted. The ratio of the number of oil discharge failures to the total number of oil discharges is then calculated to obtain the oil discharge failure ratio. Based on the failure of oil discharge, the abnormal value of the corresponding indicator when the oil discharge is unqualified is processed by the difference with the abnormal threshold of the indicator to obtain the abnormal difference of the indicator. The abnormal difference of the indicator when all the oil discharge is unqualified is summed and the average is taken to obtain the average abnormal difference of the indicator. The average abnormal difference of the indicator is compared with the abnormal threshold of the indicator to obtain the abnormal value of the indicator. The abnormal oil discharge value is obtained by summing the ratio of unqualified oil discharge and the abnormal value of the index. The abnormal oil discharge value is compared with the abnormal oil discharge threshold. If the abnormal oil discharge value is greater than the abnormal oil discharge threshold, an abnormal oil discharge signal is generated. Based on the abnormal oil discharge signal, the abnormal continuity value is obtained. The continuity of the abnormal indicators when the oil discharge is abnormal is determined according to the abnormal continuity value. If the continuity of the abnormal indicators when the oil discharge is abnormal is strong, an analysis signal is generated. If the continuity of the abnormal indicators when the oil discharge is abnormal is weak, the optimized control sequence is determined. If the continuity of abnormal indicators is weak when oil discharge is abnormal, the process of determining the optimal control sequence is as follows: All abnormal indicators that occur when oil discharge fails to meet standards are statistically analyzed, and duplicates are removed and integrated into an optimized indicator group. Within the optimization indicator group, based on any one of the abnormal indicators; The number of times abnormal indicators appeared during the oil discharge monitoring period was counted and compared with the total number of times all abnormal indicators appeared to obtain the percentage of occurrence. The ratio of the index difference exceeding the threshold for each occurrence of an abnormal index is calculated, and the sums are taken as the average to obtain the mean ratio of the index difference exceeding the threshold. The abnormal occurrence value of the abnormal indicator is obtained by summing the percentage of occurrences with the average of the difference between the two indicators. Within the optimization indicator group, abnormal indicators are sorted according to their abnormal values ​​to determine the order of optimization control. Based on the analysis signal, abnormal stable values ​​are obtained. The stability of abnormal indicators when oil discharge is abnormal is judged according to the abnormal stable values. Based on the strength of the stability of abnormal indicators when oil discharge is abnormal, the optimized control range and the optimized control sequence are determined.

2. The oil-water separation and discharge control method based on online analysis according to claim 1, characterized in that: The oil drainage process model is constructed as follows: Each step in the oil-water separation process is arranged as a level according to the process sequence, and a monitoring indicator is set for each level. 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 frequency, and oil discharge volume. The obtained hierarchy is used to construct an oil drainage process model framework based on the funnel model principle, and the monitoring indicators corresponding to each hierarchy are set as the conversion rate of each hierarchy in the oil drainage process model, thus obtaining the oil drainage process model.

3. The oil-water separation and discharge control method based on online analysis according to claim 1, characterized in that: The abnormality ratio and abnormality excess ratio are obtained as follows: The number of abnormal indicators among the actual indicators is counted, and the ratio is calculated to the number of actual indicators to obtain the abnormality ratio. The difference between the actual index difference corresponding to the abnormal index and the nearest adjacent standard range endpoint value of the index difference is processed to obtain the relative index difference. The ratio between the relative index difference and the nearest adjacent standard range endpoint value of the index difference is processed to obtain the index difference exceedance ratio corresponding to the abnormal index. The abnormality ratio is obtained by summing the ratios of the abnormality indicators and taking the average of the sums.

4. The oil-water separation and discharge control method based on online analysis according to claim 1, characterized in that: The method for obtaining the abnormal continuous values ​​is as follows: After sequentially numbering each level in the oil discharge process model, the level number corresponding to the abnormal indicator when the oil discharge is not qualified is obtained and integrated into a level number group. Within the hierarchical number group, count the number of intervals between hierarchical numbers and compare it with the interval count threshold to obtain the interval count ratio; Within a hierarchical numbering group, count the number of hierarchical numbers that are separated from each other, and compare this number with the number of intervals between hierarchical numbers to obtain the average number of intervals. Then, compare this average number of intervals with the total number of hierarchical numbers contained in the hierarchical numbering group to obtain the interval ratio. The interval performance value is obtained by summing the ratio of interval frequency and the ratio of interval number. If the interval performance value is less than or equal to the interval performance threshold, the oil discharge failure will be marked as continuous abnormal oil discharge; The number of consecutive abnormal oil discharges was counted and compared with the total number of times the oil discharge was not up to standard to obtain the abnormal continuity value.

5. The oil-water separation and discharge control method based on online analysis according to claim 1, characterized in that: The method for obtaining the abnormal stable value is as follows: When oil discharge fails to meet the standard, the abnormal indicator ranked first in the level number is marked as the indicator to be optimized. All the level numbers corresponding to the indicators to be optimized are integrated into the number group to be optimized, and all the indicators to be optimized are integrated into the indicator group to be optimized. Obtain the variance value of the number group to be optimized to obtain the abnormally stable value.

6. The oil-water separation and discharge control method based on online analysis according to claim 5, characterized in that: The process of determining the optimized control range and optimized control sequence based on the stability of abnormal indicators when oil discharge is abnormal includes: If the stability of abnormal indicators is weak when oil discharge is abnormal, the group of indicators 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 group of indicators to be optimized is counted, and the ratio is processed with the total number of times the abnormal indicators appear in the group of indicators to be optimized to obtain the abnormal occurrence ratio. The optimization control order is obtained by sorting the abnormal indicators within the target optimization group according to the ratio of the number of times the abnormality occurs. The target optimization group is the optimization control range.

7. The oil-water separation and discharge control method based on online analysis according to claim 6, characterized in that: The process of determining the optimized control range and optimized control sequence based on the stability of abnormal indicators when oil discharge is abnormal also includes: If the stability of the abnormal indicators is strong when the oil discharge is abnormal, the average value of the summation of the hierarchical numbers in the number group to be optimized is obtained. If the average number is an integer and exists within the number group to be optimized, then the level number corresponding to its average number is marked as the first level number. Find the level number that is closest to the first level number in the number group to be optimized and mark it 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 mean number is not an integer, then within the target optimization group, find the two level numbers that are closest to the mean number and mark them as the first level number and the second level number, respectively. The distance between the first level number and the mean number is less than the distance between the second level number and the mean 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.

8. An oil-water separation and discharge control system based on online analysis, characterized in that: include: Oil discharge data acquisition module: Combining the oil-water separation process and constructing an oil discharge process model based on the principle of the funnel model, oil discharge data is acquired during the oil discharge monitoring period, and the oil discharge data and the oil discharge process model are compared, processed and analyzed to obtain abnormal oil discharge values; The method for obtaining the abnormal oil discharge values ​​is as follows: During the oil discharge monitoring cycle, oil discharge data is acquired after each oil discharge is completed. The oil discharge data includes the actual indicators of each level in the oil discharge process model. The difference between the actual indicator and the corresponding monitoring indicator is calculated to obtain the actual indicator difference. If the actual indicator difference is outside the standard range, the actual indicator will be marked as an abnormal indicator. The abnormal indicators are processed and analyzed to obtain the ratio of abnormal numbers and the ratio of abnormal exceedances, and the sum is used to obtain the abnormal value of the indicators. If the abnormal value of the indicator is greater than the abnormal threshold, it means that the oil discharge is not up to standard; During the oil discharge monitoring cycle, the total number of oil discharges and the number of oil discharge failures are counted. The ratio of the number of oil discharge failures to the total number of oil discharges is then calculated to obtain the oil discharge failure ratio. Based on the failure of oil discharge, the abnormal value of the corresponding indicator when the oil discharge is unqualified is processed by the difference with the abnormal threshold of the indicator to obtain the abnormal difference of the indicator. The abnormal difference of the indicator when all the oil discharge is unqualified is summed and the average is taken to obtain the average abnormal difference of the indicator. The average abnormal difference of the indicator is compared with the abnormal threshold of the indicator to obtain the abnormal value of the indicator. The abnormal oil discharge value is obtained by summing the ratio of unqualified oil discharge and the abnormal value of the index. Oil discharge anomaly analysis module: compares the oil discharge anomaly value with the oil discharge anomaly threshold. If the oil discharge anomaly value is greater than the oil discharge anomaly threshold, an oil discharge anomaly signal is generated. Anomaly Continuity Analysis Module: Based on the oil discharge anomaly signal, obtain the anomaly continuity value, determine the continuity of the anomaly index when the oil discharge is abnormal based on the anomaly continuity value, generate an analysis signal if the continuity of the anomaly index when the oil discharge is abnormal, and determine the optimized control sequence if the continuity of the anomaly index when the oil discharge is abnormal. If the continuity of abnormal indicators is weak when oil discharge is abnormal, the process of determining the optimal control sequence is as follows: All abnormal indicators that occur when oil discharge fails to meet standards are statistically analyzed, and duplicates are removed and integrated into an optimized indicator group. Within the optimization indicator group, based on any one of the abnormal indicators; The number of times abnormal indicators appeared during the oil discharge monitoring period was counted and compared with the total number of times all abnormal indicators appeared to obtain the percentage of occurrence. The ratio of the index difference exceeding the threshold for each occurrence of an abnormal index is calculated, and the sums are taken as the average to obtain the mean ratio of the index difference exceeding the threshold. The abnormal occurrence value of the abnormal indicator is obtained by summing the percentage of occurrences with the average of the difference between the two indicators. Within the optimization indicator group, abnormal indicators are sorted according to their abnormal values ​​to determine the order of optimization control. Anomaly stability analysis module: Based on the analysis signal, obtain the abnormal stability value, judge the stability of the abnormal indicators when the oil discharge is abnormal based on the abnormal stability value, and determine the optimization control range and optimization control sequence based on the strength of the stability of the abnormal indicators when the oil discharge is abnormal.

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