CN109816940B

CN109816940B - Fault alarm method and device for sewage treatment plant

Info

Publication number: CN109816940B
Application number: CN201910217416.1A
Authority: CN
Inventors: 王达
Original assignee: Beijing Etechwin Electric Co Ltd
Current assignee: Beijing Etechwin Electric Co Ltd
Priority date: 2019-03-21
Filing date: 2019-03-21
Publication date: 2023-05-09
Anticipated expiration: 2039-03-21
Also published as: CN109816940A

Abstract

Provided are a fault alarm method and device for a sewage treatment plant, the fault alarm method comprising: constructing a system topology structure diagram of a sewage treatment plant, wherein the system topology structure diagram describes the association among components included in each system in the sewage treatment plant; acquiring a plurality of current alarm information; determining a possible causal relationship graph among the plurality of alarm information based on the constructed system topology structure graph; and generating alarm processing sequences for the plurality of alarm information according to the determined possible causal relationship graph. By adopting the fault alarm method and device for the sewage treatment plant, which are disclosed by the embodiment of the invention, the correlation among a plurality of alarm information can be embodied, the processing sequence of the plurality of alarm information is provided, and the improvement of the processing efficiency of the alarm of the sewage treatment plant is facilitated.

Description

Fault alarm method and device for sewage treatment plant

Technical Field

The present invention relates generally to the field of sewage treatment technology, and more particularly, to a fault alarm method and apparatus for a sewage treatment plant.

Background

The sewage treatment adopts physical, chemical and biological methods to purify the sewage, so that the sewage can be recovered and reused, thereby achieving the purposes of protecting the environment and fully utilizing water resources. The basic principle of sewage treatment is to remove and convert various inorganic pollutants and organic pollutants in sewage through the processes of filtration, adsorption, precipitation, oxidation, reduction and the like. In order to ensure that the sewage treatment process can be smoothly carried out, the sewage treatment plant is provided with a multi-stage closely related process flow and a plurality of auxiliary systems and supporting facilities.

The large and medium-sized sewage treatment plant occupies a large scale, and besides a complex process flow system, the large and medium-sized sewage treatment plant also comprises a power supply and distribution system, a blast aeration system, an automatic dosing system, a monitoring system, a heating ventilation and air conditioning system, a fire alarm system and the like. These systems can be further divided into smaller scale subsystems, such as process flow systems that can be broken down into sewage treatment systems and sludge treatment systems. Due to the complexity of the sewage treatment process, the multiple systems of the sewage treatment plant and the multiple subsystems inside the same system all have the characteristic of tight coupling.

Along with the gradual improvement of the automation level of sewage treatment plants, the types and the number of equipment, instruments and meters used in each process section are more and more increased. The monitoring systems of most sewage treatment plants realize the decentralized control and centralized management of the equipment, instruments and meters by integrating network communication technology, software technology and control technology. The system structure of the monitoring system is generally divided into two layers, and the lower layer reads the data of each device and instrument and meter by a PLC (programmable logic controller) and issues a real-time control instruction to realize the local control of the device; the upper layer adopts an industrial personal computer or a commercial machine as a server, an engineer station and an operator station, and realizes data acquisition and status display, historical data storage and trend analysis, remote start-stop and parameter setting of equipment, alarm and alarm processing, report generation, communication with other systems and the like through communication with a PLC.

Typically, PLCs are placed near equipment or in distribution rooms, while servers, engineer stations, and operator stations are placed in a central control room (referred to as a central control room). In a central control room, operation and maintenance personnel need to check the operation data of equipment, instruments and meters in time, comprehensively grasp the production condition, closely pay attention to various alarm information and quickly eliminate all damages affecting the production. Generally, alarm information is divided into two types, one is an alarm that a production process parameter exceeds a threshold value, and the other is an alarm that a device parameter exceeds a threshold value of itself or is damaged by a fault. The former alarm is characterized by good self-condition of the equipment, but some production exceeds standard, and the production needs to be adjusted. The latter alarm is characterized in that the equipment is degraded or damaged due to long-term operation, aging or improper operation of operation and maintenance personnel, so that part of the equipment is invalid or cannot operate, but the related production operation is normal. At this time, maintenance personnel are required to repair or replace the equipment in time. Sometimes, two alarms may occur simultaneously, and the operation and maintenance personnel need to take flexible countermeasures according to actual conditions so as to minimize the loss.

Although various alarms can be displayed on monitoring pictures in a central control room of a sewage treatment plant at present, and special devices are provided for ensuring that alarm information can be received and processed in time by operation and maintenance personnel outside the central control room, the existing sewage treatment plant alarm mode does not consider the association relation among a plurality of alarm information and the processing priority of the plurality of alarm information, so that alarm processing is not enough in time.

Disclosure of Invention

An object of exemplary embodiments of the present invention is to provide a fault alerting method and apparatus of a sewage treatment plant, which overcome at least one of the above-mentioned drawbacks.

According to an aspect of exemplary embodiments of the present invention, there is provided a fault alerting method of a sewage treatment plant, including: constructing a system topology structure diagram of a sewage treatment plant, wherein the system topology structure diagram describes the association among components included in each system in the sewage treatment plant; acquiring a plurality of current alarm information; determining a possible causal relationship graph among the plurality of alarm information based on the constructed system topology structure graph; and generating alarm processing sequences for the plurality of alarm information according to the determined possible causal relationship graph.

Optionally, the system topology structure diagram may include a node set, an attribute set of the node, and an edge set, where each node in the node set may be a component included in each system in the sewage treatment plant, two nodes with an association are connected by an edge, which indicates that there is a connection between two components connected by the edge, and each attribute in the attribute set of the node may be pre-stored alarm information of a component corresponding to the node.

Alternatively, the system topology graph may be stored in the form of an adjacency matrix, and the set of attributes of the nodes may be stored in the form of a linked list.

Optionally, based on the constructed system topology map, the step of determining a possible causal relationship map between the plurality of alarm information may comprise: searching a plurality of prestored alarm information which are respectively matched with the plurality of alarm information from the attribute set of the node; determining a plurality of components corresponding to the matched plurality of pre-stored alarm information; and generating the possible causal relationship graph according to the association relationship of the plurality of components in the system topology structure graph.

Optionally, the step of generating the possible causal relationship graph according to the association relationship of the plurality of components in the system topology structure graph may include: traversing all alarm information to obtain a plurality of alarm information combinations, wherein any alarm information combination comprises two alarm information; for any alarm information combination, determining whether a connected edge or a connected path exists between two components corresponding to two alarm information in the any alarm information combination in the system topology structure diagram, and if the connected edge or the connected path exists, determining a causal pointing relationship between the two alarm information according to the association relationship between the two components in the system topology structure diagram; and generating the possible causal relationship graph according to all the alarm information and the corresponding causal pointing relationship.

Alternatively, the possible causal relationship graph may include a set of nodes and a set of edges, wherein each node in the set of nodes may be the acquired alarm information, two nodes connected by an edge where there is an association, the possible causal relationship between the two alarm information connected by an edge is represented, and the alarm information by an edge pointing to a termination node representing an edge is generated in dependence on the alarm information of a starting node of the edge.

Optionally, the step of generating an alarm processing sequence for the plurality of alarm information according to the determined possible causal relationship graph may comprise: searching nodes with zero degree of incidence from the potential causality graph; if the number of the searched nodes with zero degree is not more than 1, storing alarm information corresponding to the searched nodes with zero degree into an alarm processing sequence; if the number of the searched nodes with zero degree is larger than 1, determining the processing priority of the alarm information corresponding to the searched nodes with zero degree according to the historical partial order relation, and storing the alarm information corresponding to the searched nodes with zero degree into an alarm processing sequence according to the determined processing priority; deleting the node with zero degree and the edge associated with the node with zero degree from the possible causal relation graph, obtaining the pruned possible causal relation graph, and returning to the step of searching the node with zero degree from the possible causal relation graph.

Optionally, the historical partial order relation may include a historical alarm handling order between different alarm information, wherein the step of determining the processing priority of the alarm information corresponding to the searched node with zero degree according to the historical partial order relation may include: if the history alarm processing order has the case that the alarm processing order of each alarm information corresponding to the searched node with zero degree is the first case, the processing priority of the alarm information corresponding to the searched node with zero degree is determined according to the frequency of the occurrence of the alarm processing order of each alarm information in the history alarm processing order.

Optionally, the step of determining the processing priority of the alarm information corresponding to the searched node with zero degree of entry according to the historical partial order relation may further include: if the alarm handling order of the alarm information corresponding to the searched node with zero degree does not exist in the history alarm handling order, determining the processing priority of the alarm information corresponding to the searched node with zero degree according to the searching order of the searched node with zero degree from the possible causality graph.

Optionally, the fault alarm method may further include: and displaying the generated alarm processing sequence, and displaying alarm reasons of the plurality of alarm information and an alarm disposal method for each alarm information.

In another general aspect, there is provided a fault alerting device of a sewage treatment plant, comprising: the system comprises a topology diagram construction unit, a system topology diagram construction unit and a control unit, wherein the topology diagram construction unit constructs a system topology diagram of the sewage treatment plant, and the system topology diagram construction unit describes the association among components included in each system in the sewage treatment plant; an alarm information acquisition unit that acquires a plurality of current alarm information; the causal relation diagram establishing unit is used for determining a possible causal relation diagram among the plurality of alarm information based on the constructed system topology structure diagram; and an alarm processing sequence generating unit for generating alarm processing sequences for the plurality of alarm information according to the determined possible causal relationship graph.

Alternatively, the causal relationship graph establishing unit may include: an information matching subunit, for searching a plurality of pre-stored alarm information respectively matched with the plurality of alarm information from the attribute set of the node; a component part determining subunit for determining a plurality of component parts corresponding to the matched plurality of pre-stored alarm information; and the relation diagram generating subunit generates the possible causal relation diagram according to the association relation of the plurality of components in the system topology structure diagram.

Optionally, the relationship graph generating subunit may traverse all alarm information to obtain a plurality of alarm information combinations, where any one alarm information combination includes two alarm information, determine, for any one alarm information combination, whether there is a connected edge or a path between two components corresponding to two alarm information in the any one alarm information combination in the system topology structure graph, and if there is a connected edge or path, determine a causal pointing relationship between two alarm information according to an association relationship between two components existing in the system topology structure graph, and generate the possible causal relationship graph according to all alarm information and the corresponding causal pointing relationship.

Alternatively, the alarm processing sequence generation unit may include: a searching subunit, configured to search nodes with zero degree of entry from the possible causality graph; the storage subunit stores alarm information corresponding to the searched zero-degree nodes into an alarm processing sequence if the number of the searched zero-degree nodes is not more than 1, determines the processing priority of the alarm information corresponding to the searched zero-degree nodes according to the historical partial order relation if the number of the searched zero-degree nodes is more than 1, and stores the alarm information corresponding to the searched zero-degree nodes into the alarm processing sequence according to the determined processing priority; and the pruning subunit deletes the node with zero degree and the edge associated with the node with zero degree from the possible causality graph to obtain the possible causality graph after pruning, and the searching subunit continues to search the node with zero degree from the possible causality graph.

Alternatively, the history partial order relation may include a history alarm handling order between different alarm information, wherein if there is a case where alarm handling orders of the respective alarm information corresponding to the searched nodes of zero degree are previous to each other in the history alarm handling order, the storage subunit may determine a processing priority of the alarm information corresponding to the searched nodes of zero degree according to a frequency of occurrence of the previous case of the alarm handling orders of the respective alarm information in the history alarm handling order.

Alternatively, if there is no alarm handling order of the alarm information corresponding to the searched node of zero degree in the history alarm handling order, the storage subunit may determine the processing priority of the alarm information corresponding to the searched node of zero degree in the search order of the searched node of zero degree from the possible causality graph.

Optionally, the fault alarm device may further include: and the display unit is used for displaying the generated alarm processing sequence, and displaying alarm reasons of the plurality of alarm information and alarm disposal methods for the alarm information.

In another general aspect, there is provided a computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the above-mentioned fault alerting method of a sewage treatment plant.

In another general aspect, there is provided a computing device, the computing device comprising: a processor; and the memory is used for storing a computer program, and when the computer program is executed by the processor, the fault alarm method of the sewage treatment plant is realized.

By adopting the fault alarm method and device for the sewage treatment plant, which are disclosed by the embodiment of the invention, the correlation among a plurality of alarm information can be embodied, the processing sequence of the plurality of alarm information is provided, and the improvement of the processing efficiency of the alarm of the sewage treatment plant is facilitated.

Drawings

The foregoing and other objects, features, and advantages of exemplary embodiments of the invention will become more apparent from the following detailed description, taken in conjunction with the accompanying drawings that illustrate exemplary embodiments in which:

fig. 1 illustrates a flowchart of a malfunction alerting method of a sewage treatment plant according to an exemplary embodiment of the present invention;

FIG. 2 is a flowchart illustrating steps in determining a possible causal relationship graph between a plurality of alarm information in FIG. 1 according to an exemplary embodiment of the present invention;

FIG. 3 is a flowchart illustrating the steps in FIG. 2 for generating a potential causal relationship graph based on the associations that exist in a system topology graph for a plurality of components according to an exemplary embodiment of the present invention;

FIG. 4 shows a flowchart of the steps in FIG. 1 for generating an alarm processing sequence for a plurality of alarm information, according to an exemplary embodiment of the present invention;

FIG. 5 shows a schematic view of a sewage treatment system, a sludge treatment system and a blast aeration system according to an exemplary embodiment of the present invention;

FIG. 6 illustrates a system topology diagram corresponding to the three systems shown in FIG. 5 according to an exemplary embodiment of the present invention;

FIG. 7 illustrates an example diagram of a possible causal relationship graph according to an example embodiment of the invention;

fig. 8 illustrates a block diagram of a malfunction alerting device of a sewage treatment plant according to an exemplary embodiment of the present invention;

FIG. 9 shows a block diagram of a causal graph establishing unit according to an exemplary embodiment of the present invention;

fig. 10 shows a block diagram of an alarm processing sequence generating unit according to an exemplary embodiment of the present invention.

Detailed Description

Various example embodiments will now be described more fully with reference to the accompanying drawings, in which some example embodiments are shown.

Fig. 1 illustrates a flowchart of a malfunction alerting method of a sewage treatment plant according to an exemplary embodiment of the present invention.

Referring to fig. 1, in step S10, a system topology structure diagram of a sewage treatment plant is constructed. Here, the system topology diagram describes the association between the components included in each system in the sewage treatment plant.

By way of example, the components included in the systems of a wastewater treatment plant may include, but are not limited to, a plurality of devices for performing control and/or monitoring functions, and various treatment units in a wastewater treatment process.

In a preferred embodiment, the system topology map may include a set of nodes, a set of attributes for the nodes, and a set of edges. That is, the system topology constructed in step S10 is an extended system topology, which is a combination of the graphic representation of the system topology and the attribute set of the nodes.

For example, each node in the node set may be a component part included in each system in the sewage treatment plant, two nodes with an association are connected through an edge, which indicates that there is a connection between two component parts connected through the edge, and each attribute in the attribute set of the nodes may be pre-stored alarm information of a component part corresponding to the node, that is, alarm information which may occur in each component part is taken as an attribute of the node.

The system topology structure diagram constructed based on the mode can simultaneously represent the topology structure relation among all the components in the sewage treatment plant and the pre-stored alarm information of the components.

For example, a system topology map ESG, esg= (V, E) is a directed graph, where V is a node set, v= { V ₁ ,...,v _m The expression of m components included in each system in the sewage treatment plant is that E is an edge set and E= { E ₁ ,...,e _q Q edges representing a directed relationship between two components, { v _{a_1} ,...,v _{a_p} The (a) th node v _a P attributes are included in total for describing pre-stored alarm information of the constituent parts.

As an example, on a computer process, a system topology graph may be stored in the form of an adjacency matrix and a set of attributes of a node may be stored in the form of a linked list. The invention is not limited in this regard and other means may be used to store the system topology map and the set of attributes of the nodes.

In step S20, a plurality of current alarm information are acquired.

Here, the acquired plurality of alarm information may be alarm information generated at the current time by each component in the sewage treatment plant. By way of example, the types of the plurality of alarm information may include equipment alarm information (e.g., alarm information generated by an equipment-related parameter exceeding a threshold of the equipment or equipment failure damage) and/or process alarm information (e.g., alarm information generated by a process parameter of the wastewater treatment exceeding a threshold).

In step S30, a potential causal relationship graph between a plurality of alarm information is determined based on the constructed system topology map.

The determined possible causal graph may also be referred to herein as a causal graph to represent possible causal relationships between a plurality of alarm information. Here, the possible causal relationship between the plurality of alarm messages may be determined according to the wastewater treatment process sequence.

In the exemplary embodiment of the invention, the searching of the absolute causal relation among a plurality of alarm information is avoided, the searching of the possible causal relation among a plurality of alarm information is instead realized, the alarm processing sequence is determined based on the searching of the absolute causal relation, the difficulty and the complexity of the alarm association problem and the alarm processing priority problem can be reduced, and the possibility is provided for automatically obtaining the alarm processing sequence.

The steps for determining a map of possible causal relationships between a plurality of alarm information are described below with reference to fig. 2. It should be understood that the manner in which the possible causal relationship graph shown in fig. 2 is determined is by way of example only, and that other methods for determining the possible causal relationship graph between a plurality of alarm information are possible.

FIG. 2 is a flowchart illustrating steps in FIG. 1 to determine a possible causal relationship graph between a plurality of alarm information according to an exemplary embodiment of the present invention.

Referring to fig. 2, in step S301, a plurality of pre-stored alarm information that are respectively matched with a plurality of alarm information are searched for from an attribute set of a node.

For example, for any alarm information, pre-stored alarm information that matches any alarm information may be looked up from the node's attribute set by: and determining a component part generating an alarm based on any alarm information, searching from the attribute set of the node corresponding to the determined component part generating the alarm, and pre-storing alarm information matched with any alarm information.

In a preferred embodiment, in order to ensure that a plurality of pre-stored alarm information matching the plurality of pre-stored alarm information can be found from the attribute set of the node, after the plurality of alarm information is acquired, the content integrity of the acquired plurality of alarm information is detected. For example, taking any acquired alarm information as an example, judging whether the acquired alarm information contains the names and alarm contents of the components, if the acquired alarm information contains the names and alarm contents of the components, determining that the contents of any alarm information are complete, and if the acquired alarm information does not contain the names and/or alarm contents of the components, determining that the contents of any alarm information are incomplete, wherein the missing contents (such as the names and/or alarm contents of the components) need to be complemented by input so as to execute subsequent steps based on the complete alarm information.

In step S302, a plurality of constituent parts corresponding to the matched plurality of pre-stored alarm information are determined.

In step S303, a possible causal relationship graph is generated according to the association relationships of the plurality of components in the system topology graph.

The steps for generating a possible causal relationship graph based on the association of a plurality of components in the system topology graph will be described with reference to fig. 3. It should be understood that the manner in which the possible causal graph shown in fig. 3 is generated is merely an example, and that other methods for generating the possible causal graph are possible.

FIG. 3 is a flowchart illustrating the steps in FIG. 2 for generating a potential causal relationship graph based on the associations that exist in a system topology graph for a plurality of components according to an exemplary embodiment of the present invention.

Referring to fig. 3, in step S310, all alarm information is traversed to obtain a plurality of alarm information combinations. Here, two alarm information are included in any one alarm information combination.

In one embodiment, n alarm messages A can be traversed by two ₁ ,A ₂ ,…,A _n In the way (a) an alarm combination A is obtained _i And A is a _j (1.ltoreq.i, j.ltoreq.n and i.noteq.j).

In step S311, it is determined whether there is a connected edge or path between two components corresponding to two alarm information in the kth alarm information combination in the system topology structure diagram.

Here, the existence of a connected edge between two components may refer to a direct connection between two components by a directed edge in a system topology. The existence of a path between two components may refer to the connection between two components by two or more edges in a system topology graph.

For example, using the above-listed embodiments as an example, alarm combination A may be used _i And A is a _j The corresponding two components map to a set of nodes { V over an ESG _b ,V _c ' should beSearching on ESG from V using DFS (depth first search) algorithm _b To V _c Is provided, or a via.

If there is no connected edge or path between the two components corresponding to the two alarm information in the kth alarm information combination, step S312 is performed: so that k=k+1, and returns to step S311.

If there is a connected edge or path between two components corresponding to two alarm information in the kth alarm information combination, step S313 is performed: and determining the causal pointing relationship between the two alarm information according to the association relationship of the two components in the system topology structure diagram.

In step S314, it is determined whether k is equal to M.

For example, the initial value of k may be 1, where 1.ltoreq.k.ltoreq.M, M being the number of alarm information combinations, M being a natural number greater than zero. However, the present invention is not limited thereto, and k may be an initial value of M, and it is determined in step S314 whether k is equal to 1, in which case k=k-1 should be made to implement a loop in steps S312 and S315.

If k is not equal to M, step S315 is performed: so that k=k+1, and returns to step S311.

If k is equal to M, then step S316 is performed: and generating the possible causal relationship graph according to all the alarm information and the corresponding causal pointing relationship.

Taking the above-listed embodiments as examples, if any, the secondary V _b To V _c And (2) storing the alarm information A in the alarm combination _i And A _j And causal pointing relationships between the two. After the above-mentioned loop processing has been performed for all alarm combinations, a possible causal relationship map PCRG between a plurality of alarm information is established with the stored alarm information as nodes and causal pointing relationships between alarm information as edges.

In a preferred embodiment, the possible causal graph may include a set of nodes and a set of edges.

For example, each node in the set of nodes may be the acquired alarm information, with the two nodes that are connected by the edge for which there is an association, indicating that there is a possible causal relationship between the two alarm information connected by the edge, and the alarm information by the edge that points to the end node that represents the edge is generated in dependence on the alarm information of the start node of the edge.

Returning to FIG. 1, in step S40, an alarm processing sequence for a plurality of alarm information is generated from the determined possible causal relationship graph.

In a preferred embodiment, the alarm processing sequence may be obtained by pruning a graph of possible causality.

The steps of generating an alarm processing sequence for a plurality of alarm information from a determined possible causal relationship graph will be described below with reference to fig. 4. It should be appreciated that the manner in which the alarm processing sequence is generated shown in FIG. 4 is merely an example, and that other methods for generating alarm processing sequences from a possible causal graph are possible.

Fig. 4 shows a flowchart of steps in generating an alarm processing sequence for a plurality of alarm information in fig. 1 according to an exemplary embodiment of the present invention.

Referring to fig. 4, in step S401, it is determined whether the possible causal relationship map is an empty map.

If the potential causal relationship graph is an empty graph, no alarm processing sequence is generated for the plurality of alarm information.

If the possible causal relationship graph is not null, then step S402 is performed: nodes with zero degree of penetration are searched from the potential causality graph.

Here, a node with an entry of zero may refer to a node where there is no causal point in the possible causal graph to its own edge.

In step S403, it is determined whether the number of nodes for which the degree of entry is zero is greater than 1.

If the number of nodes with zero degree searched is greater than 1, step S404 is executed: and determining the processing priority of the alarm information corresponding to the searched node with zero degree according to the historical partial order relation, and storing the alarm information corresponding to the searched node with zero degree into an alarm processing sequence according to the determined processing priority.

As an example, the historical partial order relationship may include a historical alarm handling order between different alarm information to determine a processing priority of the alarm information based on the historical alarm handling order between the different alarm information. The plurality of alarm information is ordered in the alarm processing sequence according to the processing priority of the alarm information.

For example, if the processing order of the alarm information corresponding to one of the nodes with zero degree in the history alarm processing order is prioritized over the searched other nodes, the processing priority of the alarm information corresponding to the one node is also determined to be advanced.

In addition to the above, if there is a case where the alarm handling orders of the alarm information corresponding to the searched nodes with zero degree of entrance are mutually preceding in the history alarm handling order, the processing priority of the alarm information corresponding to the searched nodes with zero degree of entrance is determined in accordance with the frequency of occurrence of the alarm handling orders of the alarm information preceding in the history alarm handling order.

In addition, the step of determining the processing priority of the alarm information corresponding to the searched node with zero degree of entry according to the historical partial order relation may further include: if the alarm handling order of the alarm information corresponding to the searched node with zero degree does not exist in the history alarm handling order, determining the processing priority of the alarm information corresponding to the searched node with zero degree according to the searching order of the searched node with zero degree from the possible causality graph. For example, the processing priority of the alarm information corresponding to the node that performs the search in advance is also in advance.

Here, the historical alarm handling sequence between different alarm information may be an alarm handling sequence between a plurality of alarm information provided empirically by an expert in the sewage treatment field or an operation and maintenance person on site, for example, the processing priority of the simultaneous stop alarm of two blowers is higher than the upper limit alarm of the inflow COD. By way of example, when the system is put into operation for a period of time, there will be a series of alarm processing sequences generated, at which time alarm information A ₁ Prior to A ₂ Processed and alarm information A ₂ Prior to A ₁ The processed conditions may occur simultaneously, in which case the alarm information A may be followed ₁ Prior to A ₂ Processed and alarm information A ₂ Prior to A ₁ The frequency of occurrence of processed in the historical alarm handling sequence, determining A in the current alarm handling sequence ₁ And A ₂ Is a sequential processing order of (a). If alarm information A ₁ Prior to A ₂ The processed times are greater than the alarm information A ₂ Prior to A ₁ The number of times processed is A in the current alarm processing sequence ₁ Is higher than A ₂ Is a priority of processing.

That is, the processing priority of the plurality of alarm information may be decided using the historical alarm handling order or the search order of the nodes with zero search penetration.

If the number of nodes with zero degree searched is not greater than (i.e., less than or equal to) 1, step S405 is performed: and storing alarm information corresponding to the searched node with zero degree into an alarm processing sequence.

Here, the processing priority of the alarm information of the start node of the edge is higher than the processing priority of the alarm information of the end node of the edge in the causal direction relationship. The alarm information processing method comprises the steps that in an alarm processing sequence, a plurality of alarm information are ordered according to the processing priority of the alarm information, and the processing priority of the alarm information stored in the alarm processing sequence is higher than the processing priority of the alarm information stored in the alarm processing sequence.

In step S406, the node with zero degree and the edge associated with the node with zero degree are deleted from the possible causal relationship graph, the possible causal relationship graph after pruning is obtained, and the process returns to step S401.

In a preferred embodiment, the fault alerting method of a sewage treatment plant according to an exemplary embodiment of the present invention may further include: and displaying the generated alarm processing sequence.

For example, a plurality of alarm information can be sequentially displayed according to the processing priority in the alarm processing sequence, so that auxiliary assistance is provided for operation and maintenance personnel to process the alarm information, the operation and maintenance personnel can adapt to a new working environment as soon as possible, the emergency problem processing capacity of the operation and maintenance personnel is improved, the post threshold is reduced, other personnel can temporarily take part in the post of the operation and maintenance personnel, and the sewage treatment plant is helped to reduce the manpower resource cost.

In addition, the malfunction alerting method of a sewage treatment plant according to an exemplary embodiment of the present invention may further include: an alarm cause of a plurality of alarm information is displayed, and an alarm handling method for each alarm information is provided.

For example, the alarm causes and the corresponding alarm handling methods of the plurality of alarm information may be stored in advance in the database, and after the plurality of alarm information is acquired, the alarm causes and the alarm handling methods corresponding to the plurality of alarm information are searched from the database to be displayed.

That is, the fault alarm method according to the exemplary embodiment of the present invention increases the display of the alarm cause and the alarm handling method based on the displayed alarm records (such as the alarm date, the alarm time, the alarm position, the monitored variable, and the alarm trigger condition) of most monitoring systems, so that the operation and maintenance personnel can quickly learn the possible alarm cause and the handling method triggered by the alarm condition.

The process of generating an alarm processing sequence by applying the above-described malfunction alerting method of a sewage treatment plant will be described below by way of an example of a sewage treatment plant.

The sewage treatment adopts physical, chemical and biological methods to purify the sewage, so that the sewage can be recovered and reused, thereby achieving the purposes of protecting the environment and fully utilizing water resources. The basic principle is that the removal and conversion of various inorganic pollutants and organic pollutants in sewage are realized through the processes of filtration, adsorption, precipitation, oxidation, reduction and the like. In order to ensure that the sewage treatment process can be smoothly carried out, the sewage treatment plant is provided with a multi-stage closely related process flow and a plurality of auxiliary systems and supporting facilities. The large and medium-sized sewage treatment plant occupies a large scale, and besides a complex process flow system, the large and medium-sized sewage treatment plant also comprises a power supply and distribution system, a blast aeration system, an automatic dosing system, a monitoring system, a heating ventilation and air conditioning system, a fire alarm system and the like. These systems can be further divided into smaller scale subsystems, such as process flow systems that can be broken down into sewage treatment systems and sludge treatment systems. Due to the complexity of the sewage treatment process, the multiple systems of the sewage treatment plant and the multiple subsystems inside the same system all have the characteristic of tight coupling.

Fig. 5 shows a schematic view of a sewage treatment system, a sludge treatment system and a blast aeration system according to an exemplary embodiment of the present invention. It should be understood that, fig. 5 is an illustration of a sewage treatment system, a sludge treatment system and a blast aeration system in a sewage treatment plant, and other devices in the sewage treatment plant may be treated by using the fault alarm method according to the exemplary embodiment of the present invention, which is not specifically described in the present invention.

Fig. 5 shows a sewage treatment system, a sludge treatment system, and a blast aeration system of a sewage treatment plant and their relationships. As shown in fig. 5, sewage entering a sewage treatment plant first flows through a coarse grid, intercepting larger particle impurities in the water. The water pump of the lifting pump room pumps up the sewage to a certain height, so that the sewage can flow through each subsequent treatment unit under the action of gravity. Next, the sewage is passed through a fine grid to further remove smaller particle impurities. The sewage is driven by a motor to rotate in the rotary grit chamber so as to realize sand-water separation. The hydrolysis acidification tank is used for intercepting and gradually converting insoluble organic matters in sewage into soluble organic matters, and converting macromolecular substances which are difficult to biodegrade into micromolecular substances which are easy to degrade, so that the biodegradability and degradation speed of the sewage are improved. The integrated oxidation ditch adopts an inverted A ² O process (anoxic-anaerobic-aerobic), activated sludge utilizes the air which is exposed to carry out biochemical reaction with pollutants in sewage to realize denitrification and dephosphorization. The air that is exposed is produced by the blower in the blower room and is conveyed via pipes and valves into the oxidation ditch. The blower in the blower room receives 380V industrial electricity after the voltage is reduced in the distribution room and control signals of a PLC (programmable logic controller), so that the air supply according to the requirement is realized. And (3) continuously circulating one part of the activated sludge in the integrated oxidation ditch, and flowing the other part of the activated sludge to the secondary sedimentation tank together with the sewage. The secondary sedimentation tank is used for mixingClarifying and concentrating the liquid to separate sludge, and temporarily storing the separated sludge in a sludge pump well. The effluent of the secondary sedimentation tank enters a high-efficiency sedimentation tank, and the PAC and PAM medicaments are added to further flocculate and sediment particles in the sewage. The high-efficiency sedimentation tank is added with a filter cloth filter tank to block suspended matters in the sewage after flocculation and sedimentation so as to remove total solid suspended matters, total phosphorus and heavy metals. The contact disinfection tank kills virus and germ affecting the environment in the sewage by adding chlorine, so that the treated sewage can finally reach the discharge standard. Most of the activated sludge temporarily stored in the sludge pump well is injected into the sludge storage tank as excess sludge, except that a part of the activated sludge is returned to the integrated oxidation ditch. However, because the water content of the residual sludge is still high at this time, the residual sludge is further concentrated and dehydrated in a sludge dehydration machine room and is converted into a mud cake with lower water content, and finally the mud cake and grid slag are transported by a transport vehicle to leave the factory.

The sewage treatment system, the sludge treatment system and the blast aeration system are provided with corresponding equipment and instruments to complete the control and monitoring functions. Here, the control function may refer to controlling the start-stop and rotation speed of each unit equipment so that the whole process flow can be safely and smoothly performed, for example, controlling the operation and stop of the stirrer in the oxidation ditch, the variable frequency speed regulation of the blower, and the like. The monitoring function can be used for measuring, displaying and recording key data of the whole process flow and equipment by using instruments and meters. The data are the basis for the operation and maintenance personnel to adjust the process flow according to the water inlet and water outlet conditions, and are the basis for the operation and maintenance personnel to optimize the production process so as to meet the requirements of energy conservation, consumption reduction and the like. Most monitoring systems are now capable of automatically sending alarm information to operation and maintenance personnel through monitoring pictures in a central control room according to abnormal conditions of monitoring data. Table 1 shows the components of the sewage treatment plant and possible alarm information concerning the status and display values of the equipment, instruments and meters.

TABLE 1

The monitoring system of the sewage treatment plant has the following characteristics that the alarm information is large in quantity and complex.

(1) The alarm number is large.

Since sewage treatment plants involve multiple systems, each of which in turn contains multiple units and devices and the necessary measuring instruments and meters, even the same instruments and meters may be multiple. For example, in a sewage treatment plant shown in fig. 5, 8 flow-pushing devices are shared outside the oxidation ditch. In theory, various data of sewage treatment plants can be displayed and recorded on a monitoring system. Correspondingly, by selecting proper triggering conditions and upper and lower limit thresholds, all states and values displayed and recorded by the monitoring system can be set as alarm conditions. Therefore, in a large and medium-sized sewage treatment plant with high automation degree, the alarm quantity of the sewage treatment plant is large.

(2) The alarm content is wide.

Since one device may have multiple monitoring data, the intelligent instrument may measure multiple parameters at a time, and thus the alarm content may be very extensive. For example, the contents of table 1 in which the variable frequency blower is associated with an alarm include operating current and frequency. In addition, the pumps used in the sewage treatment plant are provided with local control modes and remote control modes, and accordingly, alarm information is divided into local alarm and remote alarm. In order to ensure that the motors in the pump and other equipment are in a normal working state and the production process is carried out smoothly, frequent start-stop alarming of the motors, ultra-long-time working alarming of the motors, combined working state alarming of a plurality of motors and the like can be set.

(3) There are different types of alarm information.

Generally, the types of alarm information can be divided into two types, one is process alarm information and the other is equipment alarm information. The former alarm is characterized by good self-condition of the equipment, but some production exceeds standard, and the production needs to be adjusted. The latter alarm is characterized in that the equipment is degraded or damaged due to long-term operation, aging or improper operation of operation and maintenance personnel, so that part of the equipment is invalid or cannot operate, but the related production operation is normal.

(4) There is an association between multiple alarms.

When a plurality of alarm information are simultaneously generated, an association relationship may exist between part or all of the alarm information. For example, there is a direct relationship between the variable frequency blower operating condition alarm and the oxidation ditch DO (dissolved oxygen) threshold alarm. Because the aeration of the oxidation ditch is insufficient, which is probably caused by the stop of the air blower, the content of the dissolved oxygen in the oxidation ditch is too low. When the blower resumes operation, the aeration amount in the oxidation ditch increases, so that not only the blower frequency setting alarm is released, but also the oxidation ditch DO threshold alarm is possibly released.

(5) The alarm processing is quick and slow.

When multiple alarm conditions are triggered, some of the more urgent alarms need to be processed preferentially, while others have less impact on actual production, and the processing priority for their processing can be placed later. For example, if a blower stall alarm occurs simultaneously with a certain impeller stall alarm in the outer ditch of the oxidation ditch, the blower stall alarm must be preferentially processed, otherwise, insufficient oxygen supply in the aeration area may be caused, and thus, water discharge exceeds the standard. The oxidation ditch is provided with 8 flow pushing devices in total, and the influence on the production process is smaller due to the failure of one flow pushing device.

Based on the association existing among the alarm information, when certain alarm information is processed, other alarm information associated with the alarm information is automatically released, and the association relationship among the alarm information can be abstracted into a causal relationship graph mathematically. Here, since the number of alarms involved in a sewage treatment plant is large, but also the alarm content and the alarm type are large, this results in a very large causal graph. If the alarm information is retrieved or modified based on the causality graph, the time consumption of computer processing is increased, the difficulty of alarm information processing is increased, and the efficiency of alarm processing is reduced.

For this reason, in the exemplary embodiment of the present invention, an alarm processing sequence is generated based on a possible causal relationship graph among a plurality of alarm information, and the alarm processing sequence is provided to an operation and maintenance person for reference, so as to reduce the difficulty of alarm information processing and improve the efficiency of alarm processing.

Fig. 6 illustrates a system topology structure diagram corresponding to the three systems illustrated in fig. 5 according to an exemplary embodiment of the present invention. Here, for clarity of the figure, only the alarm information of the partial components and instruments of table 1 is listed in fig. 6.

For example, the possible causal graph PCRG, PCRG= (V, E) of multiple alarms is a directed graph, where V is the set of nodes, node V _i (v _i E V) represents an alarm message; e is edge set, edge E _ij ＝＜v _i ,v _j > ∈E is a piece of node v _i Pointing to node v _j Is indicative of alarm information v _i With alarm information v _j Possible causal relationships between, i.e. alarm information v _j May depend on the generation of alarm information v _i 。

Here, alarm information v _j May depend on the generation of alarm information v _i Meaning alarm information v _i May cause the alarm information v to be released _j Disarming may not affect the alarm v _j . This phenomenon is actually present in sewage treatment plants, for example, there is a possible causal relationship between the simultaneous shut-down alarm of two blowers and the lower alarm of the oxidation ditch outer ditch DO. An alarm of the lower limit of the oxidation ditch outer ditch DO appears, which indicates that the content of the dissolved oxygen in the outer ditch is too low. This may be due to the fact that only two blowers supplying air to the external ditch are stopped, or may be due to excessive inlet load, too little return sludge, or damage to the alarm DO meter, among other reasons. If the lower limit alarm of the outer ditch DO of the oxidation ditch is caused by the simultaneous stopping of the two blowers, after the two blowers recover to work for a period of time, the lower limit alarm of the outer ditch DO of the oxidation ditch can be automatically released without other operations after the dissolved oxygen of the outer ditch rises to the normal level. If the oxidation ditch outer ditch DO lower limit alarm is caused by other reasons than the shutdown of the blowers, even if the two blowers are restored to work, the oxidation ditch outer ditch DO lower limit alarm still exists, and other reasons are sought to enable the alarm to be released.

Assume to waitThe analysis system is shown in FIG. 5, and the alarm information is A ₁ ,A ₂ ,…,A _n (n.gtoreq.2 is taken as an example). Before the fault alarm method is applied to generate an alarm processing sequence, the alarm information A is needed to be processed ₁ ,A ₂ ,…,A _n Integrity check is performed to ensure that the content of the alarm information is complete.

FIG. 7 illustrates an example diagram of a possible causal relationship graph according to an example embodiment of the invention.

In this example, assume that the monitoring system of a sewage treatment plant detects the following 4 alarm messages:

a. alarming the lower limit of the oxidation ditch outer ditch DO;

b. the upper limit of COD of the inflow water is alarmed;

c. the upper limit of COD of the effluent is alarmed;

d. the No. 1 blower and the No. 2 blower are simultaneously stopped for alarming.

Further, assume that the historical alert handling order in the historical partial order relationship is: the upper limit of inflow COD alarms <1# and 2# blowers stop the alarm at the same time.

In this case, using the 4 alarm information detected above, fig. 6 is searched for a possible causal relationship graph (as shown in fig. 7) between the 4 alarm information.

In fig. 7, the alarm information with the inlet degree of 0 is the upper limit of the COD of the inlet water and the simultaneous stop alarm of the No. 1 blower and the No. 2 blower. According to the historical partial sequence relation, the processing sequence (namely, the processing priority) of the two alarm information is 1# and 2# blowers, and the stop alarm is given priority over the water inlet COD upper limit alarm.

Then, node 1 (1 # and 2# blowers simultaneously shut down alarm) and node 2 (water intake COD upper limit alarm) and the two node associated edges are deleted in fig. 7. At this time, in the possible causal relation graph after pruning, only the node oxidation ditch outer ditch DO lower limit alarm and the water outlet COD upper limit alarm are provided, and the directed edge points to the water outlet COD upper limit alarm from the node oxidation ditch outer ditch DO lower limit alarm, so that the processing sequence of the two alarm information can be determined to be that the node oxidation ditch outer ditch DO lower limit alarm is higher than the water outlet COD upper limit alarm.

Through the processing procedure, the processing priority of the 4 alarm information can be determined to be as follows from the first to the last alarm processing sequence: the No. 1 and No. 2 blowers simultaneously stop the alarm and take precedence over the inflow COD upper limit alarm and take precedence over the oxidation ditch outer ditch DO lower limit alarm and take precedence over the outflow COD upper limit alarm.

Preferably, the generated alarm processing sequence is provided to a monitoring system of the sewage treatment plant, and other alarm contents are displayed on the monitoring system at the same time. As an example, the processing order of each alarm information may be numbered or arranged directly in the processing order of the priority of each alarm information from first to last.

The invention is not limited thereto but the alarm processing sequence may also be displayed in other ways, for example in the form of a list or graphically.

For the 4 alarm messages shown in fig. 7, one of the most likely causes of the alarm is that the main circuit fuse of the power distribution room of the sewage treatment plant for supplying power to the blower is blown and the water inlet is out of standard at the same time. In actual conditions, once the main circuit fuses supplying power to the blowers are blown, all the blowers stop working immediately, and the monitoring system detects that the blowers are stopped, and can send out a 1# and 2# blower stop alarm at the same time. Stopping the blower can cause a series of chain reactions. If the blower does not supply air to the aerobic zone of the oxidation ditch, the dissolved oxygen concentration of the ditch outside the oxidation ditch will decrease. Once the dissolved oxygen concentration of the oxidation ditch outside the oxidation ditch is lower than a certain value, the DO lower limit alarm of the oxidation ditch outside the oxidation ditch is triggered. The oxygen supply of the aerobic zone of the oxidation ditch is insufficient, so that microorganisms in the activated sludge are difficult to maintain enough activity to decompose pollutants in sewage, the effluent pollutant level exceeds the standard, and the effluent COD upper limit alarm is triggered. If the COD of the inflow water exceeds the standard at this time, pollutants in the sewage are further increased, more microorganisms need more oxygen, the insufficient dissolved oxygen concentration is further reduced, and the DO lower limit alarm of the oxidation ditch outer ditch is quickened. Also, the increased pollutants can accelerate the upper limit warning of the COD of the effluent.

For the above situation, the correct disposal flow of the sewage treatment plant management and operation staff should be: firstly, a new main circuit fuse is replaced, and power supply to the blower is restored; then searching the reason of exceeding the standard of COD of the inflow water, and stopping the discharge of the sewage with heavy load in time; and finally checking whether the DO instrument and the effluent COD instrument of the oxidation ditch outer ditch work normally, and if not, maintaining.

According to the fault alarm method provided by the embodiment of the invention, under the condition of obtaining a plurality of alarm information, powerful help is provided for assisting management of sewage treatment plants and emergency treatment and alarm problems of operation and maintenance personnel.

In addition, it should be appreciated that if the DO meter outside the oxidation ditch has been faulty for a period of time without repair, the DO lower limit alarm outside the oxidation ditch has no causal relationship with the 1# and 2# blowers simultaneously shut down alarms, at which time, it may be more appropriate to reprocess the DO lower limit alarm outside the oxidation ditch. Therefore, in actual use, management and operation staff of the sewage treatment plant need to flexibly apply the alarm processing sequence provided by the fault alarm method according to actual conditions so as to realize rapid processing of alarm faults.

It should be understood that in the above-listed embodiments, the description is made with respect to a sewage treatment plant consisting of a sewage treatment system, a sludge treatment system and a blast aeration system, and that only a limited number of alarm messages are listed. However, the fault alarm method is not limited to the part of the system and alarm information of the sewage treatment plant, and is applicable to other systems and alarm information of the sewage treatment plant, and the invention is not illustrated one by one.

Fig. 8 illustrates a block diagram of a malfunction alerting device of a sewage treatment plant according to an exemplary embodiment of the present invention.

As shown in fig. 8, a malfunction alerting device of a sewage treatment plant according to an exemplary embodiment of the present invention includes: a topology map construction unit 10, an alarm information acquisition unit 20, a causal relationship map creation unit 30, and an alarm processing sequence generation unit 40.

Specifically, the topology construction unit 10 constructs a system topology construction diagram of the sewage treatment plant. Here, the system topology structure diagram describes the association between the constituent elements included in each system in the sewage treatment plant.

In a preferred embodiment, the system topology map may include a set of nodes, a set of attributes for the nodes, and a set of edges. That is, the system topology map is a combination of a graphical representation of the system topology map and a set of attributes of the nodes.

For example, each node in the node set may be a component part included in each system in the sewage treatment plant, two nodes with an association are connected through an edge, which indicates that there is a connection between two component parts connected through the edge, and each attribute in the attribute set of the nodes may be pre-stored alarm information of a component part corresponding to the node.

As an example, the system topology graph may be stored in the form of an adjacency matrix and the set of attributes of the nodes may be stored in the form of a linked list.

The alarm information acquisition unit 20 acquires a plurality of pieces of alarm information at present.

Here, the acquired plurality of alarm information may be alarm information generated at the current time by each component in the sewage treatment plant. By way of example, the types of the plurality of alarm information may include equipment alarm information and/or process alarm information.

The causal relationship graph establishing unit 30 determines a possible causal relationship graph between the plurality of alarm information based on the constructed system topology map.

Here, the causal relationship graph establishing unit 30 may determine a causal relationship that may exist between a plurality of alarm information according to a sewage treatment process flow sequence.

Fig. 9 shows a block diagram of the causal relationship map establishing unit 30 according to an exemplary embodiment of the present invention.

As shown in fig. 9, the causal relationship map establishing unit 30 according to an exemplary embodiment of the present invention may include: an information matching subunit 301, a component part determination subunit 302, and a relationship diagram generation subunit 303.

Specifically, the information matching subunit 301 searches for a plurality of pre-stored alarm information that are respectively matched with the plurality of alarm information from the attribute set of the node.

The component determination subunit 302 determines a plurality of components corresponding to the matched plurality of pre-stored alarm information.

The relationship graph generation subunit 303 generates a possible causal relationship graph according to the association relationships of the plurality of components in the system topology structure graph.

For example, the relationship diagram generation subunit 303 may traverse all alarm information to obtain a plurality of alarm information combinations. Here, two alarm information are included in any one alarm information combination. For any alarm information combination, determining whether a connected edge or a connected path exists between two components corresponding to two alarm information in any alarm information combination in the system topology structure diagram, if the connected edge or the connected path exists, determining a causal pointing relationship between the two alarm information according to the association relationship of the two components in the system topology structure diagram, and generating a possible causal pointing relationship diagram according to all alarm information and the corresponding causal pointing relationship.

Returning to fig. 8, the alarm processing sequence generating unit 40 generates an alarm processing sequence for a plurality of alarm information from the determined possible causal relationship graph.

In a preferred embodiment, the alarm processing sequence generation unit 40 may derive the alarm processing sequence by pruning a graph of possible causality relationships.

Fig. 10 shows a block diagram of an alarm processing sequence generating unit 40 according to an exemplary embodiment of the present invention.

As shown in fig. 10, the alarm processing sequence generation unit 40 according to an exemplary embodiment of the present invention may include: search subunit 401, storage subunit 402, and pruning subunit 403.

Specifically, the search subunit 401 searches for nodes with zero degree of invasiveness from the potential causality graph.

For example, the search subunit 401 may first determine whether the possible causal graph is a null graph, and if the possible causal graph is not a null graph, search for a node with zero degree of entry from the possible causal graph. If the potential causal graph is an empty graph, the search sub-unit 401 does not process the potential causal graph.

If the number of the searched nodes with zero degree is not greater than 1, the storage subunit 402 stores alarm information corresponding to the searched nodes with zero degree in an alarm processing sequence.

If the number of the searched nodes with zero degree is greater than 1, the storage subunit 402 determines a processing priority of the alarm information corresponding to the searched nodes with zero degree according to the historical partial order relation, and stores the alarm information corresponding to the searched nodes with zero degree in the alarm processing sequence according to the determined processing priority.

As an example, the historical partial order relationship may include a historical alert disposition order between different alert information.

If the alarm handling order of the alarm information corresponding to one of the nodes having zero degree of each has priority over the other nodes searched for in the history alarm handling order, the storage subunit 402 determines that the processing priority of the alarm information corresponding to the one node is also prior.

In addition to the above, if there is a case where the alarm handling orders of the respective alarm information corresponding to the searched nodes of which the degree of entry is zero are previous to each other in the history alarm handling orders, the storage subunit 402 determines the processing priority of the alarm information corresponding to the searched nodes of which the degree of entry is zero in accordance with the frequency of occurrence of the alarm handling orders of the respective alarm information in the history alarm handling orders.

If there is no alarm handling order of alarm information corresponding to the searched node of zero degree in the history alarm handling order, the storage subunit 402 determines a processing priority of alarm information corresponding to the searched node of zero degree in a search order of searching for the node of zero degree from the possible causality graph.

Pruning subunit 403 deletes the node with zero degree of entry and the edge associated with the node with zero degree of entry from the possible causal relationship graph, obtains the possible causal relationship graph after pruning, and search subunit 401 continues to search for the node with zero degree of entry from the possible causal relationship graph.

In a preferred embodiment, the malfunction alerting device of a sewage treatment plant according to an exemplary embodiment of the present invention may further include a display unit (not shown in the drawings) which may be used to display the generated alert processing sequence.

In addition, the display unit may further display alarm reasons of a plurality of alarm information and alarm handling methods for the respective alarm information.

There is also provided, in accordance with an exemplary embodiment of the present invention, a computing device. The computing device includes a processor and a memory. The memory is used for storing a computer program. The computer program is executed by the processor to cause the processor to perform the above-described malfunction alerting method of a sewage treatment plant.

There is also provided, in accordance with an exemplary embodiment of the present invention, a computer-readable storage medium storing a computer program. The computer readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the fault alerting method of a sewage treatment plant described above. The computer readable recording medium is any data storage device that can store data which can be read out by a computer system. Examples of the computer-readable recording medium include: read-only memory, random access memory, compact disc read-only, magnetic tape, floppy disk, optical data storage device, and carrier waves (such as data transmission through the internet via wired or wireless transmission paths).

By adopting the fault alarm method and the fault alarm device for the sewage treatment plant, which are disclosed by the embodiment of the invention, aiming at the characteristic of coupling among systems in the sewage treatment plant, the association relation among a plurality of alarm information is considered, and the processing sequence of the plurality of alarm information is provided, so that the alarm processing efficiency of the sewage treatment plant is improved.

In addition, the fault alarm method and the fault alarm device for the sewage treatment plant can generate an alarm processing sequence, can provide help for management and operation maintenance personnel of the sewage treatment plant to rapidly locate and find out an emergency fault problem, can assist the management and operation maintenance personnel to take correct measures to solve the alarm problem, and well meets the daily needs of the management and operation maintenance personnel of the sewage treatment plant.

In addition, by adopting the fault alarm method and device for the sewage treatment plant of the embodiment of the invention, aiming at the alarm information of large quantity, wide content, variety, connection and urgency of the sewage treatment plants, the possible causal relationship between the alarm information is searched by utilizing a system topology structure diagram, and then the possible optimal alarm processing sequence is searched, the obtained alarm processing sequence has certain guidance on management and operation staff of the sewage treatment plant, the real causal relationship between the alarm information is avoided, and a new thought of alarm fault processing is developed.

In addition, the fault alarm method and the fault alarm device for the sewage treatment plant, which are provided by the invention, are adopted to meet the practical use of management and operation maintenance personnel of the sewage treatment plant, and the designed method and the device can be used as an independent computer program, can also be used as a monitoring system and even a functional module of an intelligent water service system, and exist in the intelligent water service system to strengthen the informatization and the intellectualization level of the sewage treatment plant.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the following claims.

Claims

1. A fault warning method for a sewage treatment plant, comprising:

constructing a system topology structure diagram of a sewage treatment plant, wherein the system topology structure diagram describes the association among components included in each system in the sewage treatment plant;

acquiring a plurality of current alarm information;

determining a possible causal relationship graph among the plurality of alarm information based on the constructed system topology structure graph;

generating an alarm processing sequence for the plurality of alarm information based on the determined possible causal relationship graph,

wherein generating an alarm processing sequence for the plurality of alarm information according to the determined possible causal relationship graph comprises:

searching nodes with zero degree of incidence from the potential causality graph;

if the number of the searched nodes with zero degree is larger than 1, determining the processing priority of the alarm information corresponding to the searched nodes with zero degree according to the historical partial order relation, and storing the alarm information corresponding to the searched nodes with zero degree into an alarm processing sequence according to the determined processing priority;

wherein the historical partial order relation comprises a historical alarm disposal order among different alarm information,

The step of determining the processing priority of the alarm information corresponding to the searched node with zero degree of entry according to the historical partial order relation comprises the following steps:

if the alarm handling order of the alarm information corresponding to the searched node with zero degree does not exist in the history alarm handling order, determining the processing priority of the alarm information corresponding to the searched node with zero degree according to the searching order of the searched node with zero degree from the possible causality graph.

2. The fault alerting method of claim 1, wherein the system topology map comprises a set of nodes, a set of attributes and a set of edges of nodes,

each node in the node set is a component part included in each system in the sewage treatment plant, two nodes with association are connected through edges, the fact that the two component parts connected through the edges are connected is indicated, and each attribute in the attribute set of the nodes is pre-stored alarm information of the component part corresponding to the node.

3. The fault alerting method of claim 2, wherein the system topology graph is stored in the form of an adjacency matrix and the set of attributes of the nodes is stored in the form of a linked list.

4. The fault alerting method of claim 2, wherein determining a potential causal relationship graph between the plurality of alert information based on a constructed system topology map comprises:

searching a plurality of prestored alarm information which are respectively matched with the plurality of alarm information from the attribute set of the node;

determining a plurality of components corresponding to the matched plurality of pre-stored alarm information;

and generating the possible causal relationship graph according to the association relationship of the plurality of components in the system topology structure graph.

5. The fault alerting method of claim 4, wherein the step of generating the potential causal relationship graph based on the association of the plurality of components in the system topology graph comprises:

traversing all alarm information to obtain a plurality of alarm information combinations, wherein any alarm information combination comprises two alarm information;

for any alarm information combination, determining whether a connected edge or a connected path exists between two components corresponding to two alarm information in the any alarm information combination in the system topology structure diagram, and if the connected edge or the connected path exists, determining a causal pointing relationship between the two alarm information according to the association relationship between the two components in the system topology structure diagram;

And generating the possible causal relationship graph according to all the alarm information and the corresponding causal pointing relationship.

6. The fault alerting method of claim 5, wherein the possible causal relationship graph comprises a node set and an edge set,

each node in the node set is the acquired alarm information, the two nodes which are connected through the edges and are related to each other represent that a possible causal relation exists between the two alarm information connected through the edges, and the alarm information which points to the end node representing the edges is generated by the edges and is pointed to the alarm information of the start node representing the edges.

7. The fault alerting method of claim 1, wherein the step of generating an alert processing sequence for the plurality of alert information according to the determined possible causal relationship graph further comprises:

if the number of the searched nodes with zero degree is not more than 1, storing alarm information corresponding to the searched nodes with zero degree into an alarm processing sequence;

deleting the node with zero degree and the edge associated with the node with zero degree from the possible causal relation graph, obtaining the pruned possible causal relation graph, and returning to the step of searching the node with zero degree from the possible causal relation graph.

8. The fault alerting method of claim 7, wherein the step of determining a processing priority of the alert information corresponding to the searched node of zero degree of entry according to the historical partial order relationship further comprises:

if the history alarm processing order has the case that the alarm processing order of each alarm information corresponding to the searched node with zero degree is the first case, the processing priority of the alarm information corresponding to the searched node with zero degree is determined according to the frequency of the occurrence of the alarm processing order of each alarm information in the history alarm processing order.

9. The fault alerting method of claim 1, wherein the fault alerting method further comprises: and displaying the generated alarm processing sequence, and displaying alarm reasons of the plurality of alarm information and an alarm disposal method for each alarm information.

10. A fault warning device for a sewage treatment plant, comprising:

the system comprises a topology diagram construction unit, a system topology diagram construction unit and a control unit, wherein the topology diagram construction unit constructs a system topology diagram of the sewage treatment plant, and the system topology diagram construction unit describes the association among components included in each system in the sewage treatment plant;

an alarm information acquisition unit that acquires a plurality of current alarm information;

The causal relation diagram establishing unit is used for determining a possible causal relation diagram among the plurality of alarm information based on the constructed system topology structure diagram;

an alarm processing sequence generating unit that generates an alarm processing sequence for the plurality of alarm information based on the determined possible causal relationship graph,

wherein the alarm processing sequence generating unit includes:

a searching subunit, configured to search nodes with zero degree of entry from the possible causality graph;

the storage subunit determines the processing priority of the alarm information corresponding to the searched nodes with zero degree according to the historical partial order relation if the number of the searched nodes with zero degree is larger than 1, and stores the alarm information corresponding to the searched nodes with zero degree into an alarm processing sequence according to the determined processing priority;

wherein if there is no alarm handling order of alarm information corresponding to the searched node of zero degree in the history alarm handling order, the storage subunit determines a processing priority of alarm information corresponding to the searched node of zero degree in accordance with a search order of the searched node of zero degree from the possible causality graph.

11. The fault alerting device of claim 10, wherein the system topology map comprises a set of nodes, a set of attributes and a set of edges of nodes,

12. The fault alerting device of claim 11, wherein the system topology graph is stored in the form of an adjacency matrix and the set of attributes of the nodes is stored in the form of a linked list.

13. The fault alerting device of claim 11, wherein the causal relationship graph establishing unit comprises:

an information matching subunit, for searching a plurality of pre-stored alarm information respectively matched with the plurality of alarm information from the attribute set of the node;

a component part determining subunit for determining a plurality of component parts corresponding to the matched plurality of pre-stored alarm information;

and the relation diagram generating subunit generates the possible causal relation diagram according to the association relation of the plurality of components in the system topology structure diagram.

14. The fault alarm device according to claim 13, wherein the relationship map generating subunit traverses all alarm information to obtain a plurality of alarm information combinations, wherein any one alarm information combination includes two alarm information, determines, for any one alarm information combination, whether there is a connected edge or path between two components in the system topology map corresponding to the two alarm information in the any one alarm information combination, if there is a connected edge or path, determines a causal pointing relationship between the two alarm information according to a correlation relationship between the two components in the system topology map, and generates the possible causal relationship map according to all alarm information and the corresponding causal pointing relationship.

15. The fault alerting device of claim 14, wherein the possible causal relationship graph comprises a set of nodes and a set of edges,

16. The fault alerting device of claim 10, wherein if the number of searched nodes of zero degree is not greater than 1, the storage subunit stores the alert information corresponding to the searched nodes of zero degree into the alert processing sequence;

the alarm processing sequence generation unit further includes: and the pruning subunit deletes the node with zero degree and the edge associated with the node with zero degree from the possible causality graph to obtain the possible causality graph after pruning, and the searching subunit continues to search the node with zero degree from the possible causality graph.

17. The fault alarm device as claimed in claim 16, wherein if there is a case where alarm handling orders of the respective alarm information corresponding to the searched nodes of zero degree are mutually preceding in the history alarm handling order, the storage subunit determines a processing priority of the alarm information corresponding to the searched nodes of zero degree in accordance with a frequency of occurrence of the case where the alarm handling orders of the respective alarm information are preceding in the history alarm handling order.

18. The fault alerting device of claim 10, wherein the fault alerting device further comprises: and the display unit is used for displaying the generated alarm processing sequence, and displaying alarm reasons of the plurality of alarm information and alarm disposal methods for the alarm information.

19. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the fault alerting method of a sewage treatment plant according to any one of claims 1 to 9.

20. A computing device, the computing device comprising:

a processor;

a memory storing a computer program which, when executed by a processor, implements the fault alerting method of a sewage treatment plant as claimed in any one of claims 1 to 9.