Directed acyclic graph-based sewage treatment process analysis and diagnosis method

Abstract

The invention discloses a sewage treatment process analysis method based on a directed acyclic graph. The method comprises the following steps: reading real-time data of each online instrument; calculating a process index (V) in combination with the existing parameters; according to the sequence of the process indexes (V) in a process chain and an index reaction mechanism, establishing a directedrelationship (E) between the indexes, exhaustion of the indexes in a limited number of indexes, and marking the relationship by using characters; establishing a set (E') by taking characteristic values in a graph as all nodes as objects; establishing a directed acyclic graph subset (G') of the directed acyclic graph G by taking nodes in the set as objects; and performing path search among the nodes E' in the connected state in the graph G', and taking the maximum path to establish a set R. According to the method, index association can be rapidly constructed, directed acyclic graph paths can be easily modified along with simple increase and decrease of the nodes, and corresponding reasoning paths can be automatically generated.

Description

Technical field[0001]The present invention relates to the field of sewage treatment process analysis, in particular, a method of analyzing a sewage treatment process based on a non-ring chart.Background technique[0002]The sewage treatment process is complex, and the influence of the external uncertainties such as water quality, water volume, stability is large, and it is necessary to continue to pay attention to the system process operation in order to find problems in the first time, and make process decisions in time.[0003]In the traditional sewage treatment operation analysis, often is limited to data processing capabilities, only to focus on some indicators such as dissolved oxygen, sludge concentration, ORP, and entering and out of water quality, more difficult to do real-time Problem Analysis and Process Diagnosis. The traditional mechanism model requires a large amount of basic data, and it is very dependent on data and instrumentation. It is not easy to mislength, and becaus...

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Problems solved by technology

[0002] The sewage treatment process is complex, and is greatly affected by external uncertain factors such as influent water quality, water volume, and stability. It is necessary to continuously pay attention to the process operation status of the system in order to find problems in the first place and make process decisions in a timely manner.

[0003] In the traditional sewage treatment operation analysis work, it is often limited by the data processing capacity. It can only pay attention to some indicators such as dissolved oxygen, sludge concentration, ORP, and influent and effluent water quality. It is difficult to achieve real-time monitoring of multiple indicators of the system. Problem Analysis and Process Diagnosis

The traditional mechanism model needs a large amount of basic data for parameter adjustment, and it is very dependent on the accuracy of data and instruments, and the fault tolerance is not good, and because the model is too complex, it is difficult for the operator to judge the system status through the model behavior; Rules to implement decision-making on process regulation

However, there are problems such as over-dependence on a certain key variable, too mechanical analysis and decision-making during generation, too much reliance on built-in rules for the quality of knowledge base reasoning, and large deviations between analysis conclusions and actual operating conditions, so the practicability is weak

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