KR102516864B1 - Apparatus and method for providing response action guide - Google Patents

Abstract

An action guide providing device and method are disclosed. An apparatus for providing an action guide according to an embodiment of the present invention includes a detection unit for detecting defects in target equipment; With respect to the plurality of action guides corresponding to the detected defects, the probability of each cause of each of the plurality of action guides is calculated in consideration of at least one of the latest selection date, cumulative selection frequency, and preset priority of each of the plurality of action guides. Calculation unit to do; and an output unit for displaying the plurality of action guides and the calculated possibility of the cause.

Description

Apparatus and method for providing action guide {APPARATUS AND METHOD FOR PROVIDING RESPONSE ACTION GUIDE}

Embodiments of the present invention relate to a technique for recommending an optimal action guide when detecting a defect in equipment installed in a building or the like.

In general, various types of equipment are installed in a building. Also, depending on the size of the building, a plurality of the same equipment may be installed for each type. For example, when air conditioner equipment is installed in a building, one air conditioner may be installed or several air conditioners may be installed depending on the size of the building.

Detecting and diagnosing defects of equipment installed in a building is an essential function for maintaining a pleasant environment in a building and saving energy. When a defect occurs, a worker must take action by considering various items. Therefore, it is very important to recommend the best action guide and devise a way to convey this information well.

In order to recommend the optimal action guide when a defect occurs, it is necessary to analyze and evaluate the type of defect and present a plan to respond to the occurrence of an abnormality in the equipment. In addition, the countermeasures should have variability in consideration of various characteristics of the defect, rather than being immutable, and should have high reliability.

Republic of Korea Patent Publication No. 10-2016-0019119 (2016. 02. 19.)

Embodiments of the present invention are the most suitable of various action guides for solving the defect based on the history of processing the existing defect when a defect occurs in equipment installed in a building or other various types of equipment. It is intended to provide technical means for recommending action guides.

According to an exemplary embodiment, a detection unit for detecting a defect in the target equipment; With respect to the plurality of action guides corresponding to the detected defects, the probability of each cause of each of the plurality of action guides is calculated in consideration of at least one of the latest selection date, cumulative selection frequency, and preset priority of each of the plurality of action guides. Calculation unit to do; and an output unit for displaying the plurality of action guides and the calculated possibility of the cause.

The calculator calculates a recency point for each action guide based on the latest selection date of each of the plurality of action guides, and the recency point is calculated from the latest selection date to the causal probability calculation point. It can be set to be inversely proportional to the elapsed days.

The calculation unit calculates a frequency point for each action guide based on the cumulative selection frequency of each of the plurality of action guides, and the frequency point may be set to be proportional to the cumulative selection frequency.

The calculation unit may calculate a frequency score for each action guide by additionally considering a cumulative selection frequency of each of a plurality of action guides obtained from other devices belonging to the same equipment group as the target equipment.

The possibility of the above cause is expressed by the following equation

(At this time, A is the recency point of the action guide, B is the frequency point of the action guide, C is the priority point of the action guide, max(A), max (B), max(C) can be calculated by the maximum value of A, B, and C, respectively).

The output unit may change and display at least one of an output order, an output size, or an output color of the plurality of displayed action guides and the possible cause based on the value of the possible cause.

The apparatus may further include an input unit for receiving a defect action history performed in response to the detected defect.

The input unit displays an input window configured to select one of the plurality of action guides as the defect action details, and based on the causal probability value, one action guide among the plurality of action guides is default ), the input window may be displayed.

The calculation unit may recalculate the possibility of a cause of each of the plurality of action guides by reflecting the detail of the defect action input through the input unit.

According to another exemplary embodiment, a method performed in a computing device having one or more processors and a memory storing one or more programs executed by the one or more processors, comprising: detecting a defect in a target equipment; With respect to the plurality of action guides corresponding to the detected defects, the probability of each cause of each of the plurality of action guides is calculated in consideration of at least one of the latest selection date, cumulative selection frequency, and preset priority of each of the plurality of action guides. doing; and displaying the plurality of action guides and the calculated possibility of the cause.

In the calculating step, a recency point for each action guide is calculated based on the latest selection date of each of the plurality of action guides, and the recency point is calculated from the latest selection date to the causal probability calculation time point. It can be set to be inversely proportional to the elapsed days until.

In the calculating, a frequency point for each action guide is calculated based on the cumulative selection frequency of each of the plurality of action guides, and the frequency point may be set to be proportional to the cumulative selection frequency.

The calculating may include calculating a frequency score for each action guide by additionally considering a cumulative selection frequency of each of a plurality of action guides acquired from other devices belonging to the same equipment group as the target equipment.

The possibility of the above cause is expressed by the following equation

(At this time, A is the recency point of the action guide, B is the frequency point of the action guide, C is the priority point of the action guide, max(A), max (B), max(C) is the maximum value of A, B, and C, respectively)

can be calculated by

The displaying may include changing and displaying at least one of an output order, an output size, or an output color of the plurality of displayed action guides and the possible causation based on the value of the possible cause.

The method may further include, after performing the displaying, receiving an input of defect action details performed in response to the detected defect.

In the step of receiving the input, an input window configured to select one of the plurality of action guides as the defect action details is displayed, and based on the causal probability value, one action guide among the plurality of action guides is selected as a default value. It may be configured to display the input window to be selected as (default).

The method may further include recalculating a possibility of a cause of each of the plurality of action guides by reflecting the input defect action details after performing the input step.

According to the embodiments of the present invention, when a device defect occurs, the most suitable action guide among several action guides for solving the defect can be recommended using the past defect occurrence history of the corresponding device and the defect history of the same type of device. there is.

In addition, according to the embodiments of the present invention, when performing actions for defects, corresponding action histories are systematically collected and managed, and the possibility of causation of each action guide can be continuously updated using this.

1 is a block diagram for explaining an action guide providing device according to an embodiment of the present invention.
2 is an exemplary diagram for explaining the association between rules and action guides according to embodiments of the present invention;
3 is an exemplary view for explaining the relationship between defect occurrence information and processing history for generated defects according to embodiments of the present invention;
Figure 4 is a graph showing the change in the probability of cause of each action guide according to an embodiment of the present invention described in Table 8
5 is an exemplary diagram for explaining an action guide search screen according to an embodiment of the present invention.
6 is an exemplary diagram for explaining a processing detailed history search screen of an action guide according to an embodiment of the present invention.
7 is an exemplary diagram for explaining a defect action detail input screen according to an embodiment of the present invention;
8 is a flowchart for explaining a method of providing an action guide according to an embodiment of the present invention.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The detailed descriptions that follow are provided to provide a comprehensive understanding of the methods, devices and/or systems described herein. However, this is only an example and the present invention is not limited thereto.

In describing the embodiments of the present invention, if it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of a user or operator. Therefore, the definition should be made based on the contents throughout this specification. Terminology used in the detailed description is only for describing the embodiments of the present invention and should in no way be limiting. Unless expressly used otherwise, singular forms of expression include plural forms. In this description, expressions such as "comprising" or "comprising" are intended to indicate any characteristic, number, step, operation, element, portion or combination thereof, one or more other than those described. It should not be construed to exclude the existence or possibility of any other feature, number, step, operation, element, part or combination thereof.

1 is a block diagram for explaining an action guide providing apparatus 100 according to an embodiment of the present invention. The action guide providing device 100 according to an embodiment of the present invention is for recommending an optimal action guide for resolving a defect in equipment or the like. As shown, the action guide providing device 100 according to an embodiment of the present invention includes a storage unit 102, a detection unit 104, a calculation unit 106, and an output unit 108, Accordingly, an input unit 110 may be further included.

In embodiments of the present invention, the target equipment can be any kind of object for which a defect needs to be detected and acted upon. For example, the target equipment may be a heating/cooling facility installed in a building, lighting, or an elevator device. However, it should be noted that the foregoing examples are merely illustrative, and the scope of the present invention is not limited to a specific type of device or equipment.

The storage unit 102 is configured to store and manage defects that may occur in the target equipment and a plurality of action guides corresponding to each defect. In one embodiment, the storage unit 102 may define properties that each device may have by formulas and store them in the form of rules. For example, in the case of an air conditioner installed in a building, if a stop signal is sent to the air supply fan, but the outside air damper and the exhaust damper remain open, this may be determined as a defect. In this case, the fault name can be defined as “outdoor damper/exhaust damper open when supply air fan stop signal”. The opening degree is defined as shown in Table 1 below.

item attribute code attribute name unit A 6073 Supply air fan start, stop doesn't exist B 6004 Outside air damper opening % C 6080 Exhaust damper opening % ... ... ... ...

The properties that the air conditioner may have are defined by formulas based on the property values presented in [Table 1] as follows.

Supply fan stop: A == 0

Open air damper: B > 0

Exhaust damper open: C > 0

Combining the above three formulas with an AND symbol, rules for detecting defects in air conditioners are defined as follows.

A == 0 AND B > 0 AND C > 0

Meanwhile, the storage unit 102 may store a plurality of action guides classified by unique action guide numbers as shown in Table 2 below.

Action guide number Action guide name 1049 Sensor error - check the air volume (check the value at the previous operation time) 1052 Check the manual operation of the damper (check the value at the time of previous operation) 1142 (Field) Damper Fault - Check Status 1217 (Field) disconnection error 1248 (Field) Fan Error - Check Status ... ...

When a defect is detected in the target equipment, the worker in charge of handling the defect checks the history of the defect and takes action to resolve the defect. At this time, the action guide is referred to. The action guide describes the items that can be quickly identified with the highest probability of being the cause based on the facility expert's experience in building operation. Each item in the action guide has priority according to the facility expert's judgment. In addition, it is configured to exclude a plurality of causes by considering the interaction of action guides.

In addition, the detection unit 102 may map and store rules for detecting defects with action guides as shown in Table 3 below. As described in Table 3, a plurality of action guides may be mapped to one rule, and each action guide mapped to the same rule may have a priority set by an expert or the like.

rule number defect name Action guide number Priority 61021 Open air damper/exhaust damper when supply air fan stop signal 1052 One 1049 2 1142 3 1248 4 1217 5 61022 Mixed damper and fresh air damper ratio error 1052 One 1142 2 1217 3 ... ... ...

2 is an exemplary view for explaining the association between rules and action guides according to embodiments of the present invention. As described above, it can be seen that a plurality of action guides are mapped for each rule.

Returning to 1 again, the detection unit 104 then detects a defect in the target equipment. Specifically, the detection unit 104 may determine that a defect has occurred in the corresponding equipment when data received from each equipment or a sensor associated with the corresponding equipment does not satisfy the rule stored in the storage unit 102 .

For the plurality of action guides corresponding to the defect detected by the detection unit 104, the calculation unit 106 considers at least one of the latest selection date, cumulative selection frequency, and preset priority of each of the plurality of action guides. The possibility of a cause of each of the plurality of action guides is calculated.

In one embodiment, the calculation unit 106 may calculate the possibility of the cause based on a recency point, a frequency point, and a priority point for each of the plurality of action guides. there is. Hereinafter, each score required for calculating the possibility of causation and a process of calculating the possibility of causation using the scores will be described.

First, the calculation unit 106 may calculate a recency point for each action guide based on the latest selection date of each of the plurality of action guides. In this case, the recency score may be set in inverse proportion to the elapsed days from the date of the latest selection to the point of time of calculating the possibility of cause, that is, the closer the date of the most recent selection and the point of time of the calculation are, the higher the recency score is.

For example, let's assume that the details of the occurrence of two defects that occurred during the month of July 2016 for two air conditioners including air conditioners 1 and 2 are shown in Table 4 below.

defect number date of occurrence Equipment ID equipment name rule number defect name One 2016-07-01 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 2 2016-07-02 1635 air conditioner 2 61021 Open air damper/exhaust damper when supply air fan stop signal 3 2016-07-03 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 4 2016-07-05 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 5 2016-07-07 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 6 2016-07-09 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 7 2016-07-11 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 8 2016-07-13 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 9 2016-07-14 1634 air conditioner 1 61022 Mixed damper and fresh air damper ratio error 10 2016-07-15 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 11 2016-07-16 1635 air conditioner 2 61022 Mixed damper and fresh air damper ratio error 12 2016-07-17 1635 air conditioner 2 61022 Mixed damper and fresh air damper ratio error 13 2016-07-17 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 14 2016-07-19 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 15 2016-07-21 1634 air conditioner 1 61021 Open air damper/exhaust damper when supply air fan stop signal 16 2016-07-25 1634 air conditioner 1 61022 Mixed damper and fresh air damper ratio error 17 2016-07-28 1635 air conditioner 2 61021 Open air damper/exhaust damper when supply air fan stop signal ... ... ... ... ... ...

Also, assume that the processing history of the defects generated in Table 4 is as shown in Table 5 below.

defect number Action guide number Action guide name One 1052 Check the manual operation of the damper (check the value at the time of previous operation) 2 1142 (Field) Damper Fault - Check Status 3 1049 Sensor error - check the air volume (check the value at the time of previous operation) 4 1142 (Field) Damper Fault - Check Status 5 1248 (Field) Fan Error - Check Status 6 1217 (Field) disconnection error 7 1049 Sensor error - check the air volume (check the value at the time of previous operation) 8 1049 Sensor error - check the air volume (check the value at the time of previous operation) 9 1052 Check the manual operation of the damper (check the value at the time of previous operation) 10 1142 (Field) Damper Fault - Check Status 11 1052 Check the manual operation of the damper (check the value at the time of previous operation) 12 1142 (Field) Damper Fault - Check Status 13 1049 Sensor error - check the air volume (check the value at the previous operation time) 14 1049 Sensor error - check the air volume (check the value at the previous operation time) 15 1049 Sensor error - check the air volume (check the value at the previous operation time) 16 1142 (Field) Damper Fault - Check Status 17 1052 Check the manual operation of the damper (check the value at the time of previous operation) ... ... ...

As described in Table 5 above, it can be seen that one action guide is mapped per defect history. 3 is an exemplary diagram for explaining the relationship between defect occurrence information and a processing history of the generated defect according to embodiments of the present invention. As shown, for each defect that has occurred, the person in charge of handling the defect selects and executes one of a plurality of action guides mapped to each defect, and records the action guide in the defect processing history. That is, as shown in FIG. 3, each defect is mapped with one rule and one action guide.

As described above, the calculation unit 106 may calculate a recency point for each action guide based on the latest selection date of each action guide corresponding to the detected defect. For example, the recency score may be calculated as shown in Table 6 below.

Recency from the last selection date of the action guide score unit note same date 10 point max value within 1 week 8 point 1-6 days within 2 weeks 6 point 7-13 days within 30 days 4 point 14-30 days more than 31 days 2 point no history 0 point

Next, the calculation unit 106 may calculate a frequency point for each action guide based on the cumulative selection frequency of each of the plurality of action guides. In this case, the frequency score may be set to be proportional to the cumulative selection frequency, that is, the higher the cumulative selection frequency, the higher the frequency score. For example, the frequency score may be calculated as shown in Table 7 below. Table 6 shows the cumulative frequency for each action guide, and then frequency scores are given according to the ranks in descending order of the calculated frequency values.

Defect handling cumulative frequency ranking in action guide (Frequency) score unit note 1st 8 point max value 2nd place 7 point 3rd place 6 point 4th place 5 point 5th place 4 point ... ...

In an embodiment, the calculation unit 106 may calculate a frequency score for each action guide by additionally considering a cumulative selection frequency of each of a plurality of action guides obtained from other equipment belonging to the same equipment group as the target equipment. For example, when there are two or more air conditioners of the same type, the calculation unit 106 may calculate the cumulative defect handling frequency ranking for each air conditioner, or calculate the cumulative fault handling frequency ranking for all the air conditioners and calculate the accumulated defect handling frequency ranking for each air conditioner. The same can be applied to air conditioners. In general, in the case of equipment of the same type belonging to the same equipment group, there are many cases where failures are caused by similar causes. can be calculated more precisely.

In addition, the calculation unit 106 may calculate a priority point for each of the plurality of action guides. In the embodiments of the present invention, the priority score is determined according to a previously defined priority for each action guide. For example, the higher the priority for each action guide, the higher the priority score for each action guide. It can be. Since the priorities of well-known action guides are information accumulated with know-how in the field of building equipment operation, when the priorities are used in calculating the possibility of causes, the possibility of causing defects can be calculated more accurately.

For example, the priority score may be calculated as shown in Table 8 below. Table 7 gives frequency scores after sorting the priorities for each action guide.

Priority of Action Guide score unit note 1st 8 point max value 2nd place 7 point 3rd place 6 point 4th place 5 point 5th place 4 point ... ...

From the above recency score, frequency score, and priority score, the possibility of a cause for each action guide can be calculated as in Equation 1 below.

[Equation 1]

(At this time, A is the recency point of the action guide, B is the frequency point of the action guide, C is the priority point of the action guide, max(A), max (B), max(C) is the maximum value of A, B, and C, respectively)

For example, assuming that the recency score, frequency score, and priority score of a specific action guide are 5, 9, and 8, respectively, and the maximum values of items A, B, and C are 10, 10, and 10, respectively, The probability of cause (%) is as follows.

Table 9 below calculates the possibility of cause for each action guide by date using the score tables described in Tables 6 to 8 with respect to the defect occurrence history of Table 4 and the defect processing history of Table 5.

Date Equipment ID rule
number Action guide number Elapsed days (R) (R) score accumulate
Frequency (F) (F)
ranking (F)
score Priority
(P)score R+F+P possibility of cause
(unit: %) 2016-07-01 1634 61021 1052 0 10 One One 8 8 26 100 2016-07-01 1634 61021 1049 - 0 0 2 7 7 14 53.8 2016-07-01 1634 61021 1142 - 0 0 2 7 6 13 50.0 2016-07-01 1634 61021 1248 - 0 0 2 7 5 12 46.2 2016-07-01 1634 61021 1217 - 0 0 2 7 4 11 42.3 2016-07-02 1634 61021 1052 One 8 One One 8 8 24 92.3 2016-07-02 1634 61021 1049 - 0 0 2 7 7 14 53.8 2016-07-02 1634 61021 1142 0 10 0 2 7 6 23 88.5 2016-07-02 1634 61021 1248 - 0 0 2 7 5 12 46.2 2016-07-02 1634 61021 1217 - 0 0 2 7 4 11 42.3 2016-07-03 1634 61021 1052 2 8 One One 8 8 24 92.3 2016-07-03 1634 61021 1049 0 10 One One 8 7 25 96.2 2016-07-03 1634 61021 1142 One 8 0 2 7 6 21 80.8 2016-07-03 1634 61021 1248 - 0 0 2 7 5 12 46.2 2016-07-03 1634 61021 1217 - 0 0 2 7 4 11 42.3 ... .... ... ... ... ... ... ... ... ... ... ... 2016-07-21 1634 61021 1052 20 4 One 3 6 8 18 69.2 2016-07-21 1634 61021 1049 0 10 6 One 8 7 25 96.2 2016-07-21 1634 61021 1142 6 8 2 2 7 6 21 80.8 2016-07-21 1634 61021 1248 14 4 One 3 6 5 15 57.7 2016-07-21 1634 61021 1217 12 6 One 3 6 4 16 61.5

For example, if you look at the possibility of causes of five action guides connected to rule number 61021 (outside air damper/exhaust damper open when supply air fan stop signal) of equipment with equipment ID 1634 (air conditioner 1) by date, action guide number 1049 (sensor error) - Air volume confirmation) had a 53.8% chance of cause on July 1, the initial analysis period, but was frequently selected recently and has a relatively high priority compared to other items. This becomes 96.2%.

Figure 4 is a graph showing the change trend of the possibility of each action guide according to an embodiment of the present invention described in Table 8. Like sqk shown in Table 8 and FIG. 4, the probability of cause of each action guide changes every day based on how often it has been recently selected, and accordingly, according to the embodiments of the present invention, data when a defect occurs Based on the history, it is possible to accurately provide the causal probabilities of each action guide.

Next, the output unit 108 displays the plurality of action guides and the calculated possibility of the cause. In one embodiment, the output unit 108 may change and display one or more of the output order, output size, or output color of the plurality of displayed action guides and the possible cause based on the calculated value of the possible cause. there is.

5 is an exemplary diagram for explaining an action guide inquiry screen 500 displayed on the output unit 108 according to an embodiment of the present invention. The action guide search screen 500 takes action first with action guides with a high probability of cause, shortens the time required for handling defects, and eliminates unnecessary work to increase work efficiency. It is configured considering how to emphasize and how to combine and show detailed information.

Each element of the inquiry screen 500 of the action guide shown in FIG. 5 will be described as follows. First, identification number 502 represents the equipment name, and 504 represents the name of the detected defect. 506 indicates an action guide corresponding to the detected defect, and 508 indicates the possibility of a cause for each action guide. As described above, the output unit 108 may change one or more of the plurality of action guides and the output order, output size, or output color of the displayed causal probabilities according to the probable cause values. For example, the output unit 108 may display an action guide having the highest possibility of a cause among a plurality of action guides, such as identification number 510, in a different color from other action guides. In this case, the user can be induced to visually focus on the item estimated to be the cause of the defect at the time of inquiry of the action guide. In addition, identification number 512 shows the cumulative selection frequency for each action guide in the form of a graph. In addition, a button or link through which details of each action guide can be inquired can be displayed together with each graph. For example, when the number of identification number 514 is clicked, the processing history 600 of the corresponding action guide can be displayed as shown in FIG. 6 .

On the other hand, as described above, the action guide providing apparatus 100 according to an embodiment of the present invention may further include an input unit 110 for receiving a detail of a defect action performed in response to the detected defect. In one embodiment, the input unit 110 displays an input window configured to select one of the plurality of action guides as the defect action details, and based on the causal probability value, any one of the plurality of action guides The input window may be displayed so that the action guide is selected as a default. In addition, the calculation unit 106 may recalculate the possibility of a cause of each of the plurality of action guides by reflecting the details of the defect action input through the input unit 110 .

7 is an exemplary diagram for explaining a defect action details input screen 700 displayed on the output unit 108 according to an embodiment of the present invention. Each element of the defect action details input screen 700 shown in FIG. 7 will be described as follows. First, identification number 702 indicates the name of equipment corresponding to the detected defect. As described above, the output unit 108 may select one action guide from among the plurality of action guides as a default based on the causal probability value. For example, as shown in 702 above, the output unit 108 provides radio buttons for each action guide, but selects each radio button with the radio button corresponding to the action guide with the highest probability of cause selected as a default value. can be displayed. In addition, 704 indicates the possibility of a cause for each action guide, and 706 indicates the cumulative frequency of which action guide has been used to treat defects in the form of a horizontal bar graph and numerical values. In addition, in 708, a separate option is added to classify the cause of the defect under the name of "Other" to manage additional information when no action guide is a solution when dealing with the defect, and select "Other" You can enter city details. Finally, 710 is an input unit that can record additional information other than the contents of the action guide, and the recorded contents can be used for analysis such as extracting key words using text mining technology.

In one embodiment, the storage unit 102, the detection unit 104, the calculation unit 106, the output unit 108 and the input unit 110 include one or more processors and computer readable recording media coupled to the processors. It can be implemented on the device. The computer readable recording medium may be internal or external to the processor, and may be connected to the processor by various well-known means. A processor within a computing device may cause each computing device to operate in accordance with example embodiments described herein. For example, a processor may execute instructions stored on a computer-readable storage medium, which, when executed by the processor, cause a computing device to perform operations according to the exemplary embodiments described herein. can be configured to perform

8 is a flowchart illustrating a method 800 of providing an action guide according to an embodiment of the present invention. The method illustrated in FIG. 8 may be performed in a computing device having one or more processors and a memory storing one or more programs executed by the one or more processors. For example, the method shown in FIG. 8 may be performed by the above-described action guide providing device 100 . In the illustrated flowchart, the method is divided into a plurality of steps, but at least some of the steps are performed in reverse order, combined with other steps, performed together, omitted, divided into detailed steps, or not shown. One or more steps may be added and performed.

In step 802, the detection unit 104 of the action guide providing device 100 detects a defect in the target equipment.

In step 804, the calculation unit 106 of the action guide providing device 100 determines the latest selection date, cumulative selection frequency, and preset priority of each of the plurality of action guides for the plurality of action guides corresponding to the detected defects. The possibility of a cause of each of the plurality of action guides is calculated in consideration of one or more of the rankings.

In one embodiment, the step 804 calculates a recency point for each action guide based on the latest selection date of each of the plurality of action guides, and the recency point is calculated from the latest selection date to the cause. It can be set to be inversely proportional to the number of days elapsed until the point of probability calculation.

Further, in step 804, a frequency point for each action guide is calculated based on the cumulative selection frequency of each of the plurality of action guides, and the frequency point may be set to be proportional to the cumulative selection frequency.

In addition, in step 804, a frequency score for each action guide may be calculated by additionally considering a cumulative selection frequency of each of a plurality of action guides acquired from other devices belonging to the same equipment group as the target equipment.

The possibility of the above cause is expressed by the following equation

(At this time, A is the recency point of the action guide, B is the frequency point of the action guide, C is the priority point of the action guide, max(A), max (B), max(C) is the maximum value of A, B, and C, respectively)

can be calculated by

In step 806, the output unit 108 of the action guide providing device 100 displays the plurality of action guides and the calculated possibility of the cause.

The step 806 may be configured to change and display one or more of the output order, output size, or output color of the plurality of displayed action guides and the possible cause based on the value of the possible cause.

Also, according to an embodiment, the method 800 for providing an action guide may further include a step 808 of receiving an input of details of a defect action performed in response to the defect detected after the step 806 is performed.

In step 808, an input window configured to select one of the plurality of action guides as the defect action details is displayed, and based on the causal probability value, one action guide among the plurality of action guides is a default value. ) may be configured to display the input window to be selected. In addition, when the defect action details are input, the calculation unit 106 may recalculate the possibility of causing each of the plurality of action guides by reflecting the input defect action details.

Meanwhile, embodiments of the present invention may include a program for performing the methods described in this specification on a computer, and a computer readable recording medium including the program. The computer readable recording medium may include program instructions, local data files, local data structures, etc. alone or in combination. The media may be specially designed and configured for the present invention, or may be commonly available in the field of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and specially configured to store and execute program instructions such as ROM, RAM, and flash memory. Hardware devices are included. Examples of the program may include not only machine language codes generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter.

Although representative embodiments of the present invention have been described in detail above, those skilled in the art will understand that various modifications are possible to the above-described embodiments without departing from the scope of the present invention. . Therefore, the scope of the present invention should not be limited to the described embodiments and should not be defined, and should be defined by not only the claims to be described later, but also those equivalent to these claims.

100: action guide providing device
102: storage unit
104: detection unit
106: calculation unit
108: output unit
110: input unit
600: action guide inquiry screen
502: equipment name
504: name of detected defect
506: Action guide corresponding to the detected defect
508: Possible causes for each action guide
510: Action guide with the most probable cause
512: cumulative selection frequency for each action guide
514: Cumulative selection value and detailed processing history inquiry link for each action guide
600: Detailed processing history for each action guide
700: Defect action details input screen
702: Name of the equipment in which the defect was detected
704: Possible causes for each action guide
706: cumulative frequency for each action guide
708: Other action input window
710: additional information input window

Claims (9)

a detection unit that detects a defect in the target equipment;
For the plurality of action guides corresponding to the detected defect, a calculation unit for calculating the possibility of each of the plurality of action guides in consideration of the latest selection date, cumulative selection frequency, and preset priority of each of the plurality of action guides. ; and
An action guide providing device comprising an output unit for displaying the plurality of action guides and the calculated possibility of the cause.
The method of claim 1,
The calculation unit calculates a recency point for each action guide based on the latest selection date of each of the plurality of action guides,
The recency score is set to be in inverse proportion to an elapsed day from the latest selection date to the causal probability calculation point.
The method of claim 1,
The calculation unit calculates a frequency point for each action guide based on the cumulative selection frequency of each of the plurality of action guides,
The frequency score is set to be proportional to the cumulative selection frequency, the action guide providing device.
The method of claim 3,
wherein the calculation unit calculates a frequency score for each action guide by additionally considering a cumulative selection frequency of each of a plurality of action guides obtained from other equipment belonging to the same equipment group as the target equipment.
a detection unit that detects a defect in the target equipment;
With respect to the plurality of action guides corresponding to the detected defects, the probability of each cause of each of the plurality of action guides is calculated in consideration of at least one of the latest selection date, cumulative selection frequency, and preset priority of each of the plurality of action guides. Calculation unit to do; and
To include an output unit for displaying the plurality of action guides and the calculated possibility of the cause,
The possibility of the above cause is expressed by the following equation

(At this time, A is the recency point of the action guide, B is the frequency point of the action guide, C is the priority point of the action guide, max(A), max (B), max(C) is the maximum value of A, B, and C, respectively)
Calculated by, action guide providing device.
The method of claim 1,
the output unit,
An action guide providing device for changing and displaying at least one of an output order, an output size, or an output color of the plurality of action guides and the causal possibility that are displayed based on the causal probability value.
The method of claim 1,
Further comprising an input unit for receiving a defect action history performed in response to the detected defect, the action guide providing device.
The method of claim 7,
The input unit displays an input window configured to select one of the plurality of action guides as the defect action details,
An action guide providing device that displays the input window so that any one action guide among the plurality of action guides is selected as a default based on the causal probability value.
The method of claim 7,
The calculation unit recalculates the possibility of a cause of each of the plurality of action guides by reflecting the details of the defect action input through the input unit.

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