CN104133986A - Multi-business-object-oriented distribution network warning information integrated rational analysis method - Google Patents

Abstract

The invention discloses a multi-service object-oriented comprehensive reasoning and analysis method for distribution network alarm information. Step 1 is to classify and sort out distribution network alarm information based on different business objects; step 2 is to define alarm rules according to the requirements of distribution network service objects; Step 3, define association rules, which are logical associations between alarm information; Step 4, integrate logically associated alarm information into alarm events according to the association rules, and build an expert reasoning rule base; Step 5, power distribution The master station of the automation system collects all the alarm information of the running distribution network, compares the expert reasoning rule base, and obtains all the alarm events generated by all the collected alarm information; Step 6, further analyzes all the alarm events, and obtains the reasons for these alarm events. Causes, impacts and corresponding solutions. The invention realizes the classification and integration of distribution network police information, and assists fault judgment and processing.

Description

A comprehensive reasoning and analysis method for distribution network alarm information oriented to multiple business objects

technical field

The invention relates to a multi-service object-oriented comprehensive reasoning and analysis method for distribution network alarm information, which belongs to the technical field of distribution automation systems.

Background technique

With the improvement of distribution network equipment and equipment and the development and application of monitoring automation technology, the master station of distribution automation system has been widely used. All-round monitoring of primary equipment such as distribution network busbars; on the other hand, it realizes real-time monitoring of secondary equipment such as terminal communication channels, graphic and model changes, system operating conditions, and practical indicators, as well as the operating conditions of the distribution automation system itself. This improves the level of control and control of distribution network equipment and the practical application level of distribution automation system to a certain extent.

However, with the full deployment of distribution automation construction work, the coverage area of distribution automation is getting larger and larger, and the amount of information connected to the master station of the distribution automation system has also increased dramatically. At present, mainstream master station products in the market are generally The problem is that all the collected equipment operation data are displayed in chronological order without any layering or judgment processing, and are pushed to the alarm window in a discrete manner. Once an accident occurs, a large number of related alarm information will be generated. In this case, these large amounts of alarm information often make the on-duty staff dazzled, unable to quickly and effectively filter out important information, thus affecting the efficiency of accident handling.

Therefore, there is an urgent need to classify and integrate distribution network alarm information in the master station of the distribution automation system, assist in fault judgment and processing, and reduce the risk of accidents caused by omission of important alarm signals and delayed processing by the on-duty staff due to heavy monitoring tasks , At the same time, it can also make up for the potential safety hazards caused by the uneven technical and business levels of the on-duty staff.

Contents of the invention

The present invention provides a multi-service object-oriented distribution network alarm information comprehensive reasoning and analysis method, realizes the classification and integration of distribution network alarm information, assists fault judgment and processing, and overcomes the risk of accidents caused by missing important alarm signals and delaying processing , At the same time, it can also make up for the potential safety hazards caused by the uneven technical and business levels of the on-duty staff.

In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is:

A method for comprehensive reasoning and analysis of distribution network alarm information oriented to multiple business objects, comprising the following steps,

Step 1: Classify and sort out distribution network alarm information based on different business objects;

Step 2, define alarm rules according to the requirements of distribution network business objects;

Step 3, defining an association rule, which is a logical association between alarm information;

Step 4: Integrate logically associated alarm information into alarm events according to association rules, and build an expert reasoning rule base;

Step 5, the master station of the distribution automation system collects all alarm information of the distribution network in operation, compares the expert reasoning rule base, and obtains all alarm events generated by all the collected alarm information;

Step 6: further analyze all alarm events to obtain the causes, impacts and corresponding solutions of these alarm events.

The alarm information sorted out in step 1 includes the alarm types concerned by dispatchers’ daily operation monitoring and the alarm types concerned by automation personnel; the alarm types concerned by dispatchers’ daily operation monitoring include accident opening and closing alarms, switch displacement alarms, Remote operation alarm, SO alarm E, protection signal alarm, risk alarm, telemetry over-limit alarm, DA processing information alarm, non-reset alarm and maintenance equipment alarm; the types of alarms that automation personnel pay attention to in daily operation include system operation alarm, distribution network two Secondary equipment alarms, automatic indicator alarms, invalid data alarms, and graphic model abnormality alarms.

The definition of alarm rules in step 2 includes the definition of alarm mode, the definition of alarm level and the definition of alarm parameters; the definition of alarm mode is to define the display window of alarm; the definition of alarm level is to set the level of alarm and the corresponding attribute of corresponding level; Alarm parameters are defined to define parameters that control alarm information.

The logical association in step 3 includes the logical association between switch opening and closing and related protection, the logical association between switching on and off and risk generation, the logical association between remote signal displacement and SOE, the remote control operation process information and The logical association between remote control results and the logical association of information in the feeder automation process.

The expert reasoning rule library described in step 4 is an expert reasoning rule table stored in the database, and the elements in the expert reasoning rule table include the name of the alarm event, the alarm event condition, the logical relationship between the alarm event conditions, the alarm The priority between event conditions and the time interval between alarm event conditions. The alarm event conditions are the characteristics of the alarm information integrated into the alarm event, including the type, status, keyword, and device ID of the alarm information , the feeder to which it belongs and the switch station to which it belongs.

In step five, compare the expert reasoning rule base to obtain all alarm events generated by all alarm information in the running distribution network as follows:

(A1), receiving the comparison request;

(A2), compare all the collected alarm information with the alarm event conditions, if all the collected alarm information contains alarm information consistent with the alarm event conditions, go to (A3), otherwise go to (A1);

(A3), compare the logical relationship between the alarm information consistent with the alarm event conditions with the logical relationship between the alarm event conditions, and compare the priority between the alarm information consistent with the alarm event conditions with the alarm event conditions Compare the priority between the alarm events, compare the time interval between the alarm information consistent with the alarm event conditions with the time interval between the alarm event conditions, if the comparison is all consistent, go to (A4), otherwise go to to(A1);

(A4), to obtain all alarm events generated by all the collected alarm information.

All alarm events generated by obtaining all collected alarm information can be displayed in the form of a table tree on the alarm window.

The causes, impacts and corresponding solutions of these alarm events obtained in step six are displayed in conjunction with the graphics of the distribution automation system.

The beneficial effects achieved by the present invention: 1. The present invention classifies the alarm information and has complete intelligent alarm definition rules; 2. The present invention defines alarm rules according to the requirements of distribution network business objects, and the defined alarm rules include alarm mode definition and alarm level The definition and the definition of alarm parameters can help to remind the on-duty staff to maintain a high degree of vigilance and take relevant control measures in a timely and decisive manner; 3. The present invention compares all the alarm information collected with the expert reasoning rules, and obtains For all alarm events, it reduces the alarm information that the on-duty staff does not need to pay special attention to, and can quickly extract the alarm events that occur in the current distribution network operation from a large number of discrete alarm information, which solves the problem that the on-duty staff cannot extract from a large number of discrete alarm information. The embarrassing situation of extracting or missing important alarm information, overcome the risk of accidents caused by missing important alarm signals and delaying processing, reduce the monitoring workload of the on-duty staff, and make up for the potential safety hazards caused by the uneven technical and professional levels of the on-duty staff. It is beneficial to analyze the alarm events, and obtain the causes, impacts and corresponding solutions of these alarm events.

Description of drawings

Fig. 1 is a flowchart of the present invention.

Fig. 2 is a flow chart of obtaining all alarm events generated by all alarm information of the running distribution network.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

As shown in FIG. 1 , a multi-service object-oriented comprehensive reasoning and analysis method for distribution network alarm information includes the following steps.

Step 1: Classify and sort out distribution network alarm information based on different business objects.

Classification and combing are carried out from the perspectives of two different people, and the alarm information after classification and combing is divided into alarm types concerned by dispatchers’ daily operation monitoring and alarm types concerned by automation personnel’s daily operation. Among them, the types of alarms that dispatchers pay attention to in daily operation monitoring include accident opening and closing alarms, switch displacement alarms, remote operation alarms, SO alarm E, protection signal alarms, risk alarms, telemetry over-limit alarms, DA processing information alarms, and non-return Alarms and maintenance equipment alarms; the types of alarms that automation personnel pay attention to in daily operation include system operation alarms, distribution network secondary equipment alarms, automation index alarms, invalid data alarms, and graphic model abnormality alarms.

Step 2, define alarm rules according to the requirements of distribution network business objects.

The alarm rules here are relatively complete intelligent alarm definition rules, including alarm mode definition, alarm level definition, and alarm parameter definition. The alarm mode is defined as the display window for defining the alarm; the alarm level is defined as setting the level of the alarm and the attributes corresponding to the level (that is, different display methods, such as: whether to stick to the top, whether to flash, font settings), that is to say, through different display The way is to remind the on-duty staff to maintain a high degree of vigilance and take relevant control measures in a timely and decisive manner; the alarm parameter is defined as the parameter that defines the control alarm information, such as the setting of judging the jitter condition of the remote signal, etc.

Step 3, define an association rule, and the association rule is a logical association between alarm information.

After the definition of steps 1 and 2, no matter how many alarm signals there are, the on-duty staff can check them at a glance, but relying on the alarm information is not enough to assist the on-duty staff to quickly extract important alarm information, conduct fault research and judgment, and quickly deal with it. In order to improve the efficiency of the on-duty staff in extracting important information and find out the root cause of events, association rules are defined. Association rules are logical associations between alarm information. Logical associations include logical associations between switch opening and closing and related Logical correlation between separation and closing and risk generation, logical correlation between remote signal displacement and SOE, logical correlation between remote operation process information and remote control results, and information logical correlation in feeder automation process. The specific association rules in the present invention are shown in Table 1.

Table 1 Association rules

rule number rule name rule premise 1 XX switch accident trip Accident opening signal + protection signal of the switch within N seconds + risk alarm caused by the opening and closing of the switch (loop closure risk, power loss of important users all the way, abnormal grounding) 2 XX switch remote signal displacement Normal opening and closing (including setting blockade) + risk alarm caused by the opening and closing of the switch (loop closing risk, power loss of important users all the way, abnormal grounding) 3 XX switch remote control success/failure Remote control preset + preset success (failure/timeout) + remote control switch + remote control success (failure) 4 XX device overload Telemetry limit + overload risk alarm 5 Feeder Automation (DA) DA process information

Step 4: Integrate logically associated alarm information into alarm events according to association rules, and build an expert reasoning rule base.

The expert reasoning rule library is an expert reasoning rule table stored in the database. The elements in the expert reasoning rule table include the name of the alarm event, the alarm event condition, the logical relationship between the alarm event conditions, the priority between the alarm event conditions, and The time interval between the alarm event conditions. The alarm event conditions are the characteristics of the alarm information integrated into the alarm event, including the type, status, keywords of the alarm information, and the ID of the equipment that issued the alarm information, the feeder to which it belongs, and the switch station to which it belongs. The features of each alarm message are different, that is, a set of features determines an alarm message.

Step 5: The master station of the distribution automation system collects all alarm information of the distribution network in operation, compares it with the expert reasoning rule base, and obtains all alarm events generated by all the collected alarm information.

The specific process is shown in Figure 2:

(A1), receiving the comparison request;

(A2), using the factor that the characteristics of each alarm information are different, compare all the collected alarm information with the alarm event conditions, if all the collected alarm information contains alarm information that is consistent with the alarm event conditions, go to ( A3), else go to (A1);

(A3), compare the logical relationship between the alarm information consistent with the alarm event conditions with the logical relationship between the alarm event conditions, and compare the priority between the alarm information consistent with the alarm event conditions with the alarm event conditions Compare the priority between the alarm events, compare the time interval between the alarm information consistent with the alarm event conditions with the time interval between the alarm event conditions, if the comparison is all consistent, go to (A4), otherwise go to to(A1);

(A4), to obtain all alarm events generated by all the collected alarm information.

All alarm events generated by obtaining all collected alarm information can be displayed in the form of a table tree on the alarm window.

Step 6: further analyze all alarm events (the analysis here is manual analysis), and obtain the causes, impacts and corresponding solutions of these alarm events.

The above-mentioned causes, impacts and corresponding solutions of these alarm events are all displayed in conjunction with the graphics of the distribution automation system; at the same time, they are also stored in the expert reasoning rule table, and correspond to the corresponding alarm events .

In summary, the present invention resolves the embarrassing situation that the watchman is unable to extract or omit important alarm information from a large number of discrete alarm information, overcomes the risk of accidents caused by missing important alarm signals, and delays processing, and reduces the monitoring workload of the watchman , to make up for the potential safety hazards caused by the uneven technical and business levels of the on-duty personnel, and at the same time it is beneficial to analyze the alarm events, and obtain the causes, impacts and corresponding solutions of these alarm events.

The above is only a preferred embodiment of the present invention, it should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, some improvements and modifications can also be made. It should also be regarded as the protection scope of the present invention.

Claims (8)

1. A method for comprehensive reasoning and analysis of distribution network alarm information oriented to multiple business objects, characterized in that: comprising the following steps, Step 1: Classify and sort out distribution network alarm information based on different business objects; Step 2, define alarm rules according to the requirements of distribution network business objects; Step 3, defining an association rule, which is a logical association between alarm information; Step 4: Integrate logically associated alarm information into alarm events according to association rules, and build an expert reasoning rule base; Step 5, the master station of the distribution automation system collects all alarm information of the distribution network in operation, compares the expert reasoning rule base, and obtains all alarm events generated by all the collected alarm information; Step 6: further analyze all alarm events to obtain the causes, impacts and corresponding solutions of these alarm events. 2. A multi-service object-oriented distribution network alarm information comprehensive reasoning and analysis method according to claim 1, characterized in that: the alarm information sorted out in step 1 includes alarm types and automatic alarms that dispatchers pay attention to in daily operation monitoring. The types of alarms concerned by personnel in daily operation; the types of alarms concerned by dispatchers in daily operation monitoring include accident opening and closing alarms, switch displacement alarms, remote operation alarms, SO alarm E, protection signal alarms, risk alarms, telemetry over-limit alarms, DA Handle process information alarms, non-reset alarms, and maintenance equipment alarms; the types of alarms that automation personnel pay attention to in daily operations include system operation alarms, distribution network secondary equipment alarms, automation index alarms, invalid data alarms, and graphic model abnormality alarms. 3. a kind of multi-service object-oriented distribution network warning information comprehensive reasoning analysis method according to claim 1, is characterized in that: in step 2, definition warning rule comprises warning mode definition, warning level definition and warning parameter definition; The alarm mode is defined as defining the display window of the alarm; the alarm level is defined as setting the level of the alarm and the attribute corresponding to the level; the alarm parameter is defined as the parameter for defining the control alarm information. 4. A method for comprehensive reasoning and analysis of multi-service object-oriented distribution network alarm information according to claim 1, characterized in that: the logical association in the step 3 includes the logical association between switch opening and closing and related protection, The logical correlation between switch opening and closing and risk generation, the logical correlation between remote signal displacement and SOE, the logical correlation between remote operation process information and remote control results, and the logical correlation of information in the feeder automation process. 5. A kind of multi-service object-oriented distribution network alarm information comprehensive reasoning and analysis method according to claim 1, characterized in that: the expert reasoning rule library described in step 4 is an expert reasoning rule table stored in a database, The elements in the expert reasoning rule table include the name of the alarm event, the alarm event condition, the logical relationship between the alarm event conditions, the priority between the alarm event conditions and the time interval between the alarm event conditions, the alarm event The condition is the feature of the alarm information integrated into the alarm event, including the type, status, keyword, ID of the equipment sending the alarm information, the feeder to which it belongs, and the switch station to which it belongs. 6. A kind of multi-service object-oriented distribution network alarm information comprehensive reasoning and analysis method according to claim 5, characterized in that: in step 5, compare the expert reasoning rule base to obtain all alarm information generated by the running distribution network The process of all alarm events is, (A1), receiving the comparison request; (A2), compare all the collected alarm information with the alarm event conditions, if all the collected alarm information contains alarm information consistent with the alarm event conditions, go to (A3), otherwise go to (A1); (A3), compare the logical relationship between the alarm information consistent with the alarm event conditions with the logical relationship between the alarm event conditions, and compare the priority between the alarm information consistent with the alarm event conditions with the alarm event conditions Compare the priority between the alarm events, compare the time interval between the alarm information consistent with the alarm event conditions with the time interval between the alarm event conditions, if the comparison is all consistent, go to (A4), otherwise go to to(A1); (A4), to obtain all alarm events generated by all the collected alarm information. 7. The multi-service object-oriented distribution network alarm information comprehensive reasoning and analysis method according to claim 6, characterized in that: all alarm events generated by obtaining all alarm information collected can be displayed in the form of a table tree on the alarm window show. 8. a kind of multi-service object-oriented distribution network warning information comprehensive reasoning analysis method according to claim 1, is characterized in that: in step 6, obtain the reason that produces these warning incidents, the impact that causes and corresponding solution are all related to The graphics of the distribution automation system are displayed in linkage.