KR20180056890A - Apparatus and method for providing response action guide - Google Patents

Abstract

An apparatus for providing an action guide and a method thereof are disclosed. According to an embodiment of the present invention, the apparatus for providing an action guide includes: a detection unit for detecting a defect of a target device; a calculation unit for calculating the cause possibility of each of a plurality of action guides in consideration of one or more of a latest selection date, a cumulative selection frequency and a predetermined priority of each of the plurality of action guides, with regard to the plurality of action guides corresponding to the detected defect; and an output unit for displaying the plurality of action guides and the calculated cause possibility. Accordingly, the present invention can recommend the most appropriate action guide and continuously update the cause possibility.

Description

[0001] APPARATUS AND METHOD FOR PROVIDING RESPONSE ACTION GUIDE [0002]

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

Generally, various types of equipment are installed in the building. Depending on the size of the building, multiple equipments can be installed for each type. For example, when an 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 faults in equipment installed in buildings is an essential function to maintain a pleasant environment in the building and save energy. In the event of a defect, the operator must take into consideration various items, and this requires a small amount of air. It is therefore very important to recommend the best action guidelines and devise ways to communicate this information.

In order to recommend the optimum action guide when a defect occurs, it is necessary to analyze the type of defect and to evaluate and propose measures to cope with an abnormal occurrence of the equipment. Also, the countermeasures should not be invariant but should be variable considering the various characteristics of the defect and should be highly reliable.

Korean Patent Publication No. 10-2016-0019119 (Feb.

The embodiments of the present invention can be applied to various types of equipment installed in a building or the like, various types of equipment, and the like, It is intended to provide technical means for recommending action guidelines.

According to an exemplary embodiment, there is provided an information processing apparatus including: a detecting unit that detects a defect of a target equipment; Calculating a cause probability of each of the plurality of action guides in consideration of at least one of a latest selection date, a cumulative selection frequency, and a predetermined priority of each of the plurality of action guides corresponding to the detected defect ; And an output unit for displaying the plurality of action guides and the calculated cause probabilities.

Wherein the calculation unit calculates a recency point for each action guide on the basis of the latest selection date of each of the plurality of action guides, And may be set to be in inverse proportion to the elapsed time.

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

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

The cause probability is expressed by the following equation

(A is the most recent 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), and max (C) are the maximum values of A, B, and C, respectively.

The output unit may change and display one or more of an output order, an output size, or an output color of the plurality of action guides and the cause possibility to be displayed based on the cause probability value.

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

Wherein the input unit displays an input window configured to select one of the plurality of action guides as the defect action details, wherein, based on the cause probability value, any one action guide among the plurality of action guides has a default value As shown in FIG.

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

According to another exemplary embodiment, there is provided 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, the method comprising: detecting a defect in the target equipment; Calculating a cause probability of each of the plurality of action guides in consideration of at least one of a latest selection date, a cumulative selection frequency, and a predetermined priority of each of the plurality of action guides corresponding to the detected defect ; And displaying the plurality of action guides and the calculated cause probabilities.

Wherein the calculating step calculates a recency point for each action guide on the basis of a latest selection date of each of the plurality of action guides, To < RTI ID = 0.0 > a < / RTI >

The calculating step may calculate a frequency point for each action guide on the basis of the cumulative selection frequency of each of the plurality of action guides, and the frequency score may be set to be proportional to the cumulative selection frequency.

The calculating step may be configured to calculate the frequency score of each action guide by further considering the cumulative frequency of each of the plurality of action guides obtained from the other equipment belonging to the same equipment group as the target equipment.

The cause probability is expressed by the following equation

(A is the most recent 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) and max (C) are the maximum values of A, B and C, respectively)

. ≪ / RTI >

The displaying step may be configured to change and display at least one of the output order, the output size, or the output color of the plurality of action guides displayed and the cause possibility based on the cause probability value.

The method may further include receiving a defect action history performed in response to the detected defect after performing the displaying step.

Wherein the input receiving step displays an input window configured to select one of the plurality of action guides as the defect action details, based on the cause probability value, wherein one of the plurality of action guides has a default value and may be configured to display the input window to be selected as default.

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

According to the embodiments of the present invention, when a defect occurs in the equipment, it is possible to recommend the most appropriate action guide among various action guides for resolving the defect by using the past defect history of the relevant equipment and the defect history of the same equipment have.

Also, according to the embodiments of the present invention, it is possible to systematically collect and manage the corresponding action history when performing an action on a defect, and continuously update the cause of each action guide using the collected action history.

1 is a block diagram for explaining an apparatus for providing an action guide according to an embodiment of the present invention;
2 is an exemplary diagram for explaining a relationship between a rule according to the embodiments of the present invention and an action guide;
3 is an exemplary diagram for explaining the relationship between the defect occurrence information according to the embodiments of the present invention and the processing history of the generated defect
4 is a graph showing the change in cause possibility of each action guide according to an embodiment of the present invention shown in Table 8
5 is an exemplary diagram for explaining an action guide inquiry screen according to an embodiment of the present invention
6 is an exemplary diagram for explaining a process detail history inquiry screen of an action guide according to an embodiment of the present invention;
FIG. 7 is an exemplary diagram illustrating a defect repair history input screen according to an embodiment of the present invention. FIG.
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 following detailed description is provided to provide a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, this is merely an example and the present invention is not limited thereto.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. The following terms are defined in consideration of the functions of the present invention, and may be changed according to the intention or custom of the user, the operator, and the like. Therefore, the definition should be based on the contents throughout this specification. The terms used in the detailed description are intended only to describe embodiments of the invention and should in no way be limiting. Unless specifically stated otherwise, the singular form of a term includes plural forms of meaning. In this description, the expressions " comprising " or " comprising " are intended to indicate certain features, numbers, steps, operations, elements, parts or combinations thereof, Should not be construed to preclude the presence or possibility of other features, numbers, steps, operations, elements, portions or combinations thereof.

1 is a block diagram for explaining an apparatus 100 for providing an action guide according to an embodiment of the present invention. The apparatus 100 for providing an action guide according to an embodiment of the present invention is for recommending an optimum action guide for resolving a defect in equipment or the like. As shown, an apparatus 100 for providing an action guide 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, And may further include an input unit 110.

In embodiments of the present invention, the target equipment may be any kind of object that requires defect detection and action. For example, the target equipment may be a heating / heating equipment installed in a building, a lighting or an elevator device, and the like. It should be noted, however, that the foregoing examples are merely illustrative, and that the scope of rights of the present invention is not limited to any particular kind of apparatus 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 the respective defects. In one embodiment, the storage unit 102 may define an attribute of a corresponding device for each device as an equation and store the attribute in the form of a rule. 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 are kept open, it can be judged to be defective. In this case, the defect name can be defined as " open air damper / exhaust damper open in the case of an air supply fan stop signal ". In order to express the above-mentioned defects as an equation, the start / stop state of the air supply fan, Table 1 defines the opening degrees.

Item Property code Attribute name unit A 6073 Supply fan start / stop none B 6004 Outdoor damper opening % C 6080 Exhaust damper opening % ... ... ... ...

The attributes that the air conditioner can have based on the attribute values shown in [Table 1] are defined as follows.

Supply fan stop: A == 0

Open air damper: B> 0

Exhaust damper open: C> 0

Define the rules for detecting faults in the air conditioner by grouping the above three expressions with AND symbols.

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

Meanwhile, the storage unit 102 may store a plurality of action guides, each of which is classified into a unique action guide number, as shown in Table 2 below.

Action guide number Action guide name 1049 Sensor error - Check air flow (check previous operating point value) 1052 Check damper manual operation (check the value of previous operation point) 1142 (On-site) Damper failure - status check 1217 (Field) disconnection error 1248 (On-site) fan failure - status check ... ...

If a defect is detected in the target equipment, the worker in charge of defect management confirms the defect occurrence history and performs the action to resolve the defect. The action guide describes the items that can be quickly identified by the facility expert based on the experience of the building operation. The items of the action guide have priorities according to the judgment of the facility experts. In addition, a plurality of causes are excluded in consideration of the alternate action of the action guide.

Also, the detection unit 102 can map and store the rule for defect detection with an action guide as shown in Table 3 below. As shown 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 a specialist or the like.

Rule number Defect name Action guide number Priority 61021 Air damper / exhaust damper opened when air supply fan stop signal 1052 One 1049 2 1142 3 1248 4 1217 5 61022 Mixed damper and outside damper ratio error 1052 One 1142 2 1217 3 ... ... ...

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

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

The calculation unit 106 may consider one or more of the latest selection date, accumulated selection frequency, and predetermined priority of each of the plurality of action guides corresponding to the defects detected by the detection unit 104 The cause probabilities of each of the plurality of action guides are calculated.

In one embodiment, the calculation unit 106 may calculate the cause probability based on a Recency Point, a Frequency Point, and a Priority Point for each of the plurality of action guides. have. Hereinafter, each score required for calculating the cause probability and a cause probability calculation process using the same 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 recentness score may be set to be in inverse proportion to the elapsed days from the latest selection date to the cause possibility calculation time, that is, the closer the recent selection date is to the calculation time point, the higher the recentness score.

For example, assume that for two air conditioners, including air conditioners 1 and 2, the two occurrences of the defects that occurred during the month of July 2016 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 Air damper / exhaust damper opened when air supply fan stop signal 2 2016-07-02 1635 Air conditioner 2 61021 Air damper / exhaust damper opened when air supply fan stop signal 3 2016-07-03 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 4 2016-07-05 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 5 2016-07-07 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 6 2016-07-09 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 7 2016-07-11 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 8 2016-07-13 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 9 2016-07-14 1634 Air conditioner 1 61022 Mixed damper and outside damper ratio error 10 2016-07-15 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 11 2016-07-16 1635 Air conditioner 2 61022 Mixed damper and outside damper ratio error 12 2016-07-17 1635 Air conditioner 2 61022 Mixed damper and outside damper ratio error 13 2016-07-17 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 14 2016-07-19 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 15 2016-07-21 1634 Air conditioner 1 61021 Air damper / exhaust damper opened when air supply fan stop signal 16 2016-07-25 1634 Air conditioner 1 61022 Mixed damper and outside damper ratio error 17 2016-07-28 1635 Air conditioner 2 61021 Air damper / exhaust damper opened when air supply fan stop signal ... ... ... ... ... ...

It is also assumed that the processing history of defects occurring in Table 4 is as shown in Table 5 below.

Defect number Action guide number Action guide name One 1052 Check damper manual operation (check the value of previous operation point) 2 1142 (On-site) Damper failure - status check 3 1049 Sensor error - Check air flow (check previous operating point value) 4 1142 (On-site) Damper failure - status check 5 1248 (On-site) fan failure - status check 6 1217 (Field) disconnection error 7 1049 Sensor error - Check air flow (check previous operating point value) 8 1049 Sensor error - Check air flow (check previous operating point value) 9 1052 Check damper manual operation (check the value of previous operation point) 10 1142 (On-site) Damper failure - status check 11 1052 Check damper manual operation (check the value of previous operation point) 12 1142 (On-site) Damper failure - status check 13 1049 Sensor error - Check air flow (check previous operating point value) 14 1049 Sensor error - Check air flow (check previous operating point value) 15 1049 Sensor error - Check air flow (check previous operating point value) 16 1142 (On-site) Damper failure - status check 17 1052 Check damper manual operation (check the value of previous operation point) ... ... ...

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

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

Recency from the last selection date of the action guide (Recency) score unit Remarks Same date 10 point Maximum value Within a week 8 point 1 to 6 days Within 2 weeks 6 point 7-13 days Within 30 days 4 point 14 to 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 frequency of selection, that is, the frequency score may be set to increase as the cumulative frequency of selection increases. 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 the frequency score is given according to the ranking in which the calculated frequency values are sorted in descending order.

Frequency of cumulative fault handling in the action guide Frequency score unit Remarks 1st 8 point Maximum value 2nd place 7 point 3rd place 6 point 4th place 5 point 5th place 4 point ... ...

In one embodiment, the calculation unit 106 may calculate the frequency score for each action guide by further considering the cumulative frequency of each of the plurality of action guides obtained from the 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-frequency ranking for each air conditioner, or calculate the cumulative defect-frequency ranking for the entire air conditioner, The same can be applied to an air conditioner. Generally, in the same equipment belonging to the same equipment group, a failure due to a similar cause often occurs. Therefore, if the target equipment and the other equipment belonging to the same equipment group are considered together, It can be calculated more accurately.

In addition, the calculation unit 106 may calculate a priority point of each of the plurality of action guides. In the embodiments of the present invention, the priority score is determined according to the priority of each action guide defined previously. For example, the higher the priority of each action guide, the higher the priority score of the action guide . The priorities of already well-known action guides are the accumulated know-how of the building equipment operation field, so that the possibility of the occurrence of defects can be more accurately calculated when the above priority is used in calculating the cause probability.

For example, the priority score may be calculated as shown in Table 8 below. Table 7 summarizes the priority of each action guide and gives a frequency score.

Priority of action guide score unit Remarks 1st 8 point Maximum value 2nd place 7 point 3rd place 6 point 4th place 5 point 5th place 4 point ... ...

From the above-mentioned recent sex scores, frequency scores and priority scores, the cause probability of each action guide can be calculated as shown in Equation 1 below.

[Equation 1]

(A is the most recent 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) and max (C) are the maximum values of A, B and C, respectively)

For example, assuming that the most recent sex, frequency, and priority scores in the Specific Action Guide are 5, 9, and 8, respectively, and the maximum values for A, B, and C are 10, 10, and 10, respectively, Possible cause (%) is as follows.

Table 9 below shows the probability of occurrence of each defect guide by date using the score table shown in Tables 6 to 8 for the defect occurrence history of Table 4 and the defect handling 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 Cause possibility
(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, an action guide connected to rule number 61021 (open air damper / exhaust damper in case of supply fan stop signal) for equipment with equipment ID 1634 (air conditioner 1). If you look at the five possible causes by action, see action guide number 1049 - air volume confirmation), the probability of causation was 53.8% at the beginning of the analysis on July 1, but it was frequently selected recently and has a relatively higher priority than other items, so the probability of causation increases with time, Is 96.2%.

FIG. 4 is a graph showing changes in causality of each action guide according to an embodiment of the present invention shown in Table 8. FIG. As can be seen in Table 8 and FIG. 4, the cause of each action guide, such as sqk, varies on a daily basis based on how often it has been selected recently, and accordingly, according to embodiments of the present invention, Based on the history, it is possible to accurately provide the cause of each action guide.

Next, the output unit 108 displays the plurality of action guides and the calculated cause probability. 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 action guides and the cause probabilities to be displayed based on the calculated cause probability value have.

5 is an exemplary diagram illustrating an action guide inquiry screen 500 displayed on the output unit 108 according to an embodiment of the present invention. In order to shorten the time required for defect processing and to improve work efficiency by eliminating unnecessary work, the action guide inquiry screen 500 is provided with the contents And how to show the combination of the details.

Each element of the inquiry screen 500 of the action guide shown in FIG. 5 will be described as follows. First, the identification number 502 indicates the equipment name, and 504 indicates the name of the detected defect. Reference numeral 506 denotes an action guide corresponding to the detected defect, and 508, a cause possibility of each action guide. As described above, the output unit 108 may change one or more of the plurality of action guides displayed according to the cause probability value and the output order, the output size, or the output color of the cause probability. For example, the output unit 108 may display an action guide having the highest possible cause among a plurality of action guides, such as an identification number 510, in a color different from the other action guides. In this case, at the point of view of the action guide, the user can be guided to visually concentrate on the item that is presumed to be the cause of the defect. The identification number 512 indicates the cumulative frequency of selection for each action guide in graph form. In addition, a button or a link for displaying the details of each action guide together with each graph can be displayed together. For example, when the user clicks the number of the identification number 514, the processing history 600 of the corresponding action guide can be displayed as shown in FIG.

Meanwhile, as described above, the action guide providing apparatus 100 according to an embodiment of the present invention may further include an input unit 110 receiving a defect action history performed in response to the detected defect. In one embodiment, the input unit 110 may display an input window configured to select one of the plurality of action guides as the defect action details, and based on the cause probability value, one of the plurality of action guides The input window can be displayed such that the action guide is selected as default. Also, the calculation unit 106 may recalculate the cause possibility of each of the plurality of action guides by reflecting the defect action details inputted through the input unit 110. [

7 is an exemplary diagram illustrating a defect repair history input screen 700 displayed on the output unit 108 according to an embodiment of the present invention. Each element of the defect action history entry screen 700 shown in FIG. 7 will be described below. First, the identification number 702 indicates the equipment name corresponding to the detected defect. As described above, the output unit 108 can select one of the plurality of action guides as the default based on the cause probability value. For example, as shown in 702, the output unit 108 provides a radio button for each action guide. When the radio button corresponding to the action guide with the highest possibility is selected as a default, Can be displayed. In addition, reference numeral 704 indicates the cause of each action guide, and reference numeral 706 indicates a cumulative frequency with which a defect guide was previously handled by a guide. In addition, 708 is a separate option to classify the cause of the defect under the name "Other" in order to manage additional information when no action guide is available to resolve the defect, and "Other" The details of the city can be entered. Finally, 710 is an input unit for recording additional information other than the contents of the action guide, and the recorded contents can be utilized for analysis such as key word extraction using text mining technology.

In one embodiment, the storage 102, the detector 104, the calculator 106, the output 108, and the input 110 are implemented in a computing system that includes one or more processors and a computer- May be implemented on the device. The computer readable recording medium may be internal or external to the processor, and may be coupled to the processor by any of a variety of well known means. A processor in the computing device may cause each computing device to operate in accordance with the exemplary embodiment described herein. For example, a processor may execute instructions stored on a computer-readable recording medium, and instructions stored on the computer readable recording medium may cause a computing device to perform operations in accordance with the exemplary embodiments described herein For example.

FIG. 8 is a flowchart illustrating an action guide providing method 800 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 action guide providing apparatus 100 described above. In the illustrated flow chart, the method is described as being divided into a plurality of steps, but at least some of the steps may be performed in reverse order, combined with other steps, performed together, omitted, divided into detailed steps, One or more steps may be added and performed.

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

In step 804, the calculation unit 106 of the action guide providing apparatus 100 determines, for the plurality of action guides corresponding to the detected defects, the latest selection date of each of the plurality of action guides, the cumulative selection frequency and the predetermined priority The cause probabilities of each of the plurality of action guides are calculated in consideration of one or more of the positions.

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, May be set to be in inverse proportion to the elapsed days until the possibility calculation time.

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

In addition, the step 804 may be configured to calculate the frequency score of each action guide by further considering the cumulative selection frequency of each of the plurality of action guides acquired from the other equipment belonging to the same equipment group as the target equipment.

The cause probability is expressed by the following equation

(A is the most recent 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) and max (C) are the maximum values of A, B and C, respectively)

. ≪ / RTI >

At step 806, the output 108 of the action guide providing device 100 displays the plurality of action guides and the calculated cause probability.

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

In addition, according to an embodiment, the method 800 of providing an action guide may further include a step 808 of receiving a defect action history performed in response to the defect detected after the execution of step 806. [

In step 808, an input window configured to select one of the plurality of action guides as the defect action details is displayed. Based on the cause probability value, ) To display the input window. In addition, when the defect details are inputted, the calculation unit 106 may recalculate the cause probabilities of the plurality of defect guides by reflecting the inputted defect details.

On the other hand, an embodiment of the present invention may include a program for performing the methods described herein on a computer, and a computer-readable recording medium including the program. The computer-readable recording medium may include a program command, a local data file, a local data structure, or the like, alone or in combination. The media may be those specially designed and constructed for the present invention, or may be those that are commonly used in the field of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, and specifically configured to store and execute program instructions such as ROM, RAM, flash memory, Hardware devices. Examples of such programs may include machine language code such as those produced by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, . Therefore, the scope of the present invention should not be limited to the above-described embodiments, but should be determined by equivalents to the appended claims, as well as the appended claims.

100: Action guide provided device
102:
104:
106:
108:
110: input unit
600: Action guide inquiry screen
502: Equipment name
504: Name of the detected defect
506: Action guide corresponding to the detected defect
508: Cause of each action guide
510: Most likely cause guide
512: Cumulative frequency of selection for each action guide
514: Cumulative selection value for each action guide and detailed processing history link
600: Detailed processing history by action guide
700: Defective action history input screen
702: Name of the equipment where the defect was detected
704: Possible cause for each action guide
706: Cumulative frequency for each action guide
708: Other action input window
710: Additional information input window

Claims (9)

A detector for detecting a defect of the target device;
Calculating a cause probability of each of the plurality of action guides in consideration of at least one of a latest selection date, a cumulative selection frequency, and a predetermined priority of each of the plurality of action guides corresponding to the detected defect ; And
And an output unit for displaying the plurality of action guides and the calculated cause probability.
The method according to claim 1,
Wherein 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,
Wherein the lastness score is set to be in inverse proportion to the elapsed time from the latest selection date to the cause possibility calculation time point.
The method according to claim 1,
Wherein the calculation unit calculates a frequency point for each action guide based on the cumulative frequency of each of the plurality of action guides,
Wherein the frequency score is set to be proportional to the cumulative selection frequency.
The method of claim 3,
Wherein the calculation unit further calculates the frequency score for each action guide by further considering the cumulative selection frequency of each of the plurality of action guides acquired from the other equipment belonging to the same equipment group as the target equipment.
The method according to claim 1,
The cause probability is expressed by the following equation

(A is the most recent 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) and max (C) are the maximum values of A, B and C, respectively)
Wherein the apparatus is provided with an action guide providing device.
The method according to claim 1,
The output unit includes:
And changes and displays one or more of an output order, an output size, or an output color of the plurality of action guides displayed and the cause possibility based on the cause probability value.
The method according to claim 1,
And an input unit for receiving a defect action history performed in response to the detected defect.
The method of claim 7,
Wherein the input unit displays an input window configured to select one of the plurality of action guides as the defect action details,
And displays the input window such that any one of the plurality of action guides is selected as a default based on the cause probability value.
The method of claim 7,
Wherein the calculation unit recalculates a cause possibility of each of the plurality of action guides by reflecting the defect action details inputted through the input unit.

Images