CN112580810A - Sewage treatment process analysis and diagnosis method based on directed acyclic graph - Google Patents
Sewage treatment process analysis and diagnosis method based on directed acyclic graph Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 97
- 239000010865 sewage Substances 0.000 title claims abstract description 33
- 238000004458 analytical method Methods 0.000 title claims abstract description 29
- 238000003745 diagnosis Methods 0.000 title claims abstract description 17
- 230000007246 mechanism Effects 0.000 claims abstract description 8
- 238000006243 chemical reaction Methods 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims abstract description 4
- 230000002159 abnormal effect Effects 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000001105 regulatory effect Effects 0.000 claims 1
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 239000010802 sludge Substances 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- MMDJDBSEMBIJBB-UHFFFAOYSA-N [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] Chemical compound [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] MMDJDBSEMBIJBB-UHFFFAOYSA-N 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 229910052757 nitrogen Inorganic materials 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 238000007711 solidification Methods 0.000 description 2
- 230000008023 solidification Effects 0.000 description 2
- 125000002015 acyclic group Chemical group 0.000 description 1
- 238000005273 aeration Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005842 biochemical reaction Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000002513 implantation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000004065 wastewater treatment Methods 0.000 description 1
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Abstract
The invention discloses a sewage treatment process analysis method based on a directed acyclic graph, which is used for reading real-time data of each online instrument; calculating a process index (V) by combining the existing parameters; establishing a directional relation (E) among indexes according to the sequence of the process indexes (V) in a process chain and an index reaction mechanism, exhausting the indexes in a limited number of indexes, and marking the relation by characters; a diagnosis method of a sewage treatment process based on a directed acyclic graph is characterized in that a set (E') is established by taking characteristic values in the graph as all nodes as objects; establishing a directed acyclic graph subset (G') of a directed acyclic graph G by taking nodes in the set as objects; and (5) carrying out path search among the nodes E 'in the communication state in the graph G', and taking the maximum path to establish a set R. The invention not only can quickly construct index association, but also can easily modify the directed acyclic graph path along with simple increase and decrease of nodes, and automatically generate a corresponding reasoning path.
Description
Technical Field
The invention relates to the technical field of sewage treatment process analysis, in particular to a sewage treatment process analysis and diagnosis method based on a directed acyclic graph.
Background
The sewage treatment process is complex, is greatly influenced by external uncertain factors such as the quality, quantity and stability of inlet water, and needs to continuously pay attention to the process running state of the system so as to find problems at the first time and make process decisions in time.
In the traditional sewage treatment operation analysis work, the data processing capacity is limited, only partial index conditions such as dissolved oxygen, sludge concentration, ORP, water quality of inlet and outlet water and the like can be concerned, and real-time problem analysis and process diagnosis on multiple indexes of a system are difficult to realize. The traditional mechanism model has large basic data amount needing parameter adjustment, depends on the accuracy of data and instruments, has poor fault tolerance, and ensures that operators cannot judge the state of the system easily through model behaviors due to the excessively complex model; and the expert system realizes the decision of process regulation and control through implantation rules. However, the method has the problems that the method depends too much on a certain key variable, the analysis decision in the generation is too mechanical, the inference quality of the knowledge base depends too much on a built-in rule, the deviation of an analysis conclusion and the actual operation condition is large, and the like, and the practicability is weak.
The biochemical reaction characteristics determine the complexity of the sewage treatment system, and are the main reasons for the difficulty in directly distinguishing the process problems. In actual sewage treatment production, operators mainly rely on the correlation between the abnormal degree and the abnormal index of the analysis index to identify process problems and use the process problems for subsequent process regulation and control decisions, and a simple and easily-understood practical process analysis method with high robustness for actual production is urgently needed.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for analyzing and diagnosing a sewage treatment process based on a directed acyclic graph.
In order to achieve the purpose, the invention provides the following technical scheme:
a sewage treatment process analysis method based on a directed acyclic graph comprises the following steps:
s1, reading real-time data of each online instrument of the sewage treatment plant;
s2, calculating a related process index (V) by combining the parameters of the existing built structure;
s3, establishing a directional relation (E) between every two indexes by taking the occurrence sequence of related process indexes (V) in a process chain and a reaction mechanism between the indexes as guidance, exhausting the indexes in a limited number of indexes, and marking the relation by characters.
Preferably, in the invention, the regularity relationship, the restrictive relationship and the guiding decisive relationship determined by the index calculation mathematical expression are mainly considered, so that the association between indexes is always unidirectional, and the directed acyclic graph G (E, V) is constructed.
Preferably, the different indexes constitute each node of the directed acyclic graph G and have a characteristic value.
Preferably, the calculation of the node characteristic value is represented by the degree of deviation of the index from a normal value, and the value is set to be 0 when the average value of the index value is in a normal working condition, and the value is marked as abnormal when the average value reaches or exceeds the upper limit and the lower limit of a history or a set early warning critical value, and the value is set to be 1 or-1; when the index value is between the normal working condition and the critical value, the characteristic value fluctuates in the range of-1 to 1.
A diagnosis method of a sewage treatment process based on a directed acyclic graph comprises the following steps:
s1, establishing a set (E') by taking all nodes with the characteristic values in the graph as abnormal states as objects;
s2, establishing a directed acyclic graph subset (G') of the directed acyclic graph G by taking the nodes in the set as objects;
s3, in the graph G ', path search is carried out between the nodes E' in the communication state, the maximum path is taken, and a set R is established.
Preferably, the set R is all logic chains formed among the abnormal process indicators, and a semantic network is formed by combining the labels of the relationships.
Preferably, in the semantic network, the correlation index under the abnormal problem and the process analysis diagnosis sentence having the logical relationship may be extracted, thereby implementing the process analysis and diagnosis.
Compared with the prior art, the invention has the beneficial effects that: the invention integrates scattered indexes by a data structure mode of the directed acyclic graph, fully considers and comprehensively analyzes the operation indexes, and can realize solidification after operation experience quantification. And the machine reasoning in the process chain is combined with the semantic network knowledge graph to generate an intuitive and easily understood conclusion. The data structure of the directed acyclic graph is utilized, and intelligent process analysis and diagnosis are realized based on the judgment of the abnormal sewage treatment process indexes. Because the relation between indexes can be formed by empirical phenomena or theoretical mechanisms, index association can be quickly constructed, and the directed acyclic graph path is easily modified along with simple increase and decrease of nodes, so that a corresponding reasoning path is automatically generated. The method is suitable for the process, can meet the requirement of economic operation analysis, is close to the requirement of actual production, does not need to frequently and gradually amplify a knowledge base, avoids a large amount of operations of inversion model parameters, provides a rapid, effective and reliable means for the analysis and diagnosis of the sewage treatment operation process, greatly reduces the process analysis cost of operators, and improves the working efficiency and the process regulation and control accuracy.
Drawings
FIG. 1 is a diagram illustrating a unidirectional relationship between indexes according to the present invention;
FIG. 2 is a schematic structural diagram of a graph G (E, V) constructed based on process indexes of a certain sewage treatment plant according to the invention;
FIG. 3 is a schematic diagram of the process of analyzing and diagnosing the wastewater treatment process based on the directed acyclic graph of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The invention provides a technical scheme of a sewage treatment process analysis method based on a directed acyclic graph, which comprises the following steps:
example 1:
a sewage treatment process analysis method based on a directed acyclic graph comprises the following steps:
s1, reading real-time data of each online instrument of the sewage treatment plant;
s2, calculating a related process index (V) by combining the parameters of the existing built structure;
s3, taking the occurrence sequence of related process indexes (V) in a process chain and the reaction mechanism among the indexes as guidance, establishing a directional relation (E) between every two indexes, exhausting the relation in a limited number of indexes, and marking the relation through characters, wherein the invention mainly considers the regularity relation, the restrictive relation and the guidance decisive relation determined by an index calculation mathematical expression, so that the correlation among the indexes is always unidirectional, and accordingly a directed acyclic graph G (E, V) is constructed, different indexes form each node of the directed acyclic graph G and has a characteristic value, the calculation of the characteristic value of the node is expressed by the degree of deviation of the indexes from a normal value, the average value of the index values in normal working conditions is 0, when the average value reaches or exceeds the upper limit and the lower limit of historical or set early warning critical values, the value is marked as abnormal, and the value is 1 or-1; when the index value is between the normal working condition and the critical value, the characteristic value fluctuates in the range of-1 to 1, the scattered indexes are subjected to graph integration through a data structure mode of a directed acyclic graph, the operation indexes are fully considered and comprehensively analyzed, the solidification after the operation experience is quantified can be realized, and the intuitive and easily understood conclusion generated by combining machine reasoning in a process chain with a semantic network knowledge graph is passed. The data structure of the directed acyclic graph is utilized, and intelligent process analysis and diagnosis are realized based on the judgment of the abnormal sewage treatment process indexes.
Example 2:
reading real-time data of each online instrument of the sewage treatment plant, combining parameters of a constructed structure, calculating related process indexes serving as characteristic variables for transmitting process information, and expressing the characteristic variables by a one-dimensional array V as a formula (1).
The process chain occurrence sequence and the reaction mechanism between indexes are taken as guidance, a directional relation is established between every two indexes, and the indexes are exhausted in a limited number of indexes; the relationship between indexes includes three types: the regularity relation is determined by the mathematical expression form defined by indexes, such as residence time and inflow (RT → Q); a restrictive decision relationship, namely that one index is normal and the other index is normal, such as that the Sludge age is normal and the nitrification rate is normal (K _ NO → SRT/RT _ Sludge); guiding determination relationship, i.e. if nitrate nitrogen is abnormal, total nitrogen abnormality is easily caused (TN → NO); therefore, the establishment of the relationship between two indexes is always unidirectional, as shown in FIG. 1; meanwhile, a relation matrix between indexes is constructed on the basis of a relation table of every two indexes and is recorded as a matrix E; further, a graph G (E, V) may be constructed by using the one-dimensional array V as a node and E as an adjacency matrix, as shown in fig. 2; since the foregoing index relationship establishment procedure is unidirectional, the graph G (E, V) is acyclic, i.e., a directed acyclic graph.
The invention provides a technical scheme of a sewage treatment process diagnosis method based on a directed acyclic graph, which comprises the following steps:
example 1:
a diagnosis method of a sewage treatment process based on a directed acyclic graph comprises the following steps:
s1, establishing a set (E') by taking all nodes with the characteristic values in the graph as abnormal states as objects;
s2, establishing a directed acyclic graph subset (G') of the directed acyclic graph G by taking the nodes in the set as objects;
s3, searching paths among nodes E 'in a communication state in a graph G', taking the maximum path, establishing a set R, wherein the set R is all logic chains formed among abnormal process indexes, and forming a semantic network by combining marks of all relations. The method is suitable for the process, can meet the requirement of economic operation analysis, is close to the requirement of actual production, does not need to frequently and gradually amplify a knowledge base, avoids a large amount of operations of inversion model parameters, provides a rapid, effective and reliable means for the analysis and diagnosis of the sewage treatment operation process, greatly reduces the process analysis cost of operators, and improves the working efficiency and the process regulation and control accuracy.
Example 2:
starting from the top layer, when a TN characteristic value of a node is found to be larger than 1 (the number beside the node in the graph is an actual value, and the bracket is an exemplary critical value control condition value), the algorithm searches the sub-nodes and calculates the characteristic value of the sub-nodes by taking TN as a starting point in the graph to find NO abnormality; then continuing to search the child nodes under NO in the graph and finding that K _ TN is abnormal; then continuing to find out that the DO of the child node of the K _ TN is abnormal; taking DO as a starting point, searching whether the child nodes are found, and ending iteration; forming a logic chain on the searched path, forming a semantic network according to the preset meaning of the index to form a knowledge graph, and performing logic chain reasoning on the path to give an analysis result; in the foregoing use case, based on the index anomaly, the following conclusions can be generated: the denitrification rate of the anoxic tank is low due to the fact that dissolved oxygen in the aeration tank is high, nitrate nitrogen content is further high, and total nitrogen of effluent is further high; because the connection between the indexes is constructed based on the operation experience and the process mechanism, the result of the inference analysis is more intuitive and more conforms to the habit and the requirement of the actual operation personnel for process regulation and control; when some discrete nodes are abnormal, the algorithm takes the abnormal indexes as a set and prompts and warns the operators through the associated display; because all the index values are reflected by the real state of the system in actual operation, the method is favorable for discovering the implicit association between the indexes of the system under other or special working conditions, identifying the regulation point position and providing a thought for the process regulation direction.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (7)
1. A sewage treatment process analysis method based on a directed acyclic graph is characterized by comprising the following steps:
s1, reading real-time data of each online instrument of the sewage treatment plant;
s2, calculating a related process index (V) by combining the parameters of the existing built structure;
s3, establishing a directional relation (E) between every two indexes by taking the occurrence sequence of related process indexes (V) in a process chain and a reaction mechanism between the indexes as guidance, exhausting the indexes in a limited number of indexes, and marking the relation by characters.
2. The method for analyzing the sewage treatment process based on the directed acyclic graph according to claim 1, wherein the method comprises the following steps: in the invention, the regularity relation, the restrictive relation and the guiding decisive relation determined by the index calculation mathematical expression are mainly considered, so that the association between indexes is always unidirectional, and a directed acyclic graph G (E, V) is constructed.
3. The method for analyzing the sewage treatment process based on the directed acyclic graph according to claim 1, wherein the method comprises the following steps: different indexes constitute each node of the directed acyclic graph G and have a characteristic value.
4. The method for analyzing the sewage treatment process based on the directed acyclic graph according to claim 3, wherein the method comprises the following steps: the calculation of the node characteristic value is represented by the degree of deviation of the index from a normal value, the value is regulated to be 0 when the index value is in an average value under normal working conditions, and the value is marked as abnormal when the index value reaches or exceeds the upper limit and the lower limit of a history or a set early warning critical value, and the value is 1 or-1; when the index value is between the normal working condition and the critical value, the characteristic value fluctuates in the range of-1 to 1.
5. A diagnosis method of a sewage treatment process based on a directed acyclic graph is characterized by comprising the following steps:
s1, establishing a set (E') by taking all nodes with the characteristic values in the graph as abnormal states as objects;
s2, establishing a directed acyclic graph subset (G') of the directed acyclic graph G by taking the nodes in the set as objects;
s3, in the graph G ', path search is carried out between the nodes E' in the communication state, the maximum path is taken, and a set R is established.
6. The method for analyzing and diagnosing the sewage treatment process based on the directed acyclic graph according to claim 1, wherein the method comprises the following steps: the set R is all logic chains formed among abnormal process indexes, and a semantic network is formed by combining the marks of all relations.
7. The method for analyzing and diagnosing the sewage treatment process based on the directed acyclic graph according to claim 1, wherein the method comprises the following steps: in the semantic network, the correlation index under the abnormal problem and the process analysis and diagnosis statement with the logical relation can be extracted, so that the process analysis and diagnosis are realized.
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