JP2023084550A - Inspection work support device, inspection work support system, inspection work support method, and inspection work support program - Google Patents

Abstract

To support quality assurance of an inspection work content.SOLUTION: An inspection work support device 1 includes a data acquisition unit 12, a variation degree derivation unit 13 and an attention level determination unit 14. The data acquisition unit 12 acquires a history of inspection results of a plurality of inspection items. The variation degree derivation unit 13 derives a variation degree showing the degree of variation of the inspection results for each inspection item from the history acquired by the data acquisition unit 12. The attention level determination unit 14 determines an attention necessary level showing the degree requiring attention during inspection work for each inspection item on the basis of the variation degree derived by the variation degree derivation unit 13.SELECTED DRAWING: Figure 1

Description

The present invention relates to an inspection work support device, an inspection work support system, an inspection work support method, and an inspection work support program for supporting inspection work of electrical equipment and the like.

2. Description of the Related Art Electrical facilities such as private electric facilities are periodically inspected for a plurality of inspection items. In order to keep the safety and availability of electrical equipment high, it is required to keep the quality of inspection work high.
For example, Patent Literature 1 discloses a system that sequentially guides inspection items according to an inspection work scenario to a terminal device carried by an inspector at a work site.

Japanese Patent No. 6853810

The above system is considered to be able to support the quality assurance of inspection work in that inspection omissions can be suppressed. However, the above system does not evaluate the quality of the contents of the inspection work itself for each inspection item.
SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to support quality assurance of inspection work contents.

An inspection work support device according to the present invention includes an inspection history acquisition unit, a variation degree derivation unit, and a caution degree determination unit. The inspection history acquisition unit acquires history of inspection results of a plurality of inspection items. The variation degree derivation unit derives a variation degree indicating the degree of variation in inspection results for each inspection item from the history acquired by the inspection history acquisition unit. The degree of caution determination unit determines a degree of caution that indicates the degree of caution required during inspection work for each inspection item based on the degree of variation derived by the degree of variation derivation unit.

According to the above configuration, the degree of dispersion of inspection results is derived for each inspection item from the history of inspection results. Variation in inspection results may be caused by variations in the quality of inspection work. Therefore, based on the derived degree of variation, it is possible to accurately extract inspection items to which attention should be paid during inspection work because the quality of the inspection work content tends to deteriorate.
Here, the degree of progress of aged deterioration of the equipment to be inspected differs depending on the inspection item. Therefore, when the history of each inspection item is acquired for the same period of time, old inspection results within that period include inspection items affected by factors other than the quality of inspection work (for example, deterioration over time), There may be inspection items that are not. "History" includes both data that has been digitized through the introduction of this system or similar systems, and data that has been accumulated on a paper basis prior to the introduction of this system or similar systems. be

Therefore, the degree-of-variation deriving unit may set a history period used to derive the degree of variation for each inspection item. The degree-of-variation derivation unit may derive the degree of variation based on inspection results within a set period.
According to the above configuration, the history period (how far back the inspection result is acquired) is made different for each inspection item. Therefore, according to the characteristics of each inspection item, inspection results that may deviate from the average level due to factors other than the quality of inspection work (for example, deterioration over time) are excluded from the original data used to derive the degree of variation. can do. Then, the variation degree of each inspection item comes to have a high correlation with the quality of the inspection work content. The reliability of the degree of caution determined based on the degree of dispersion also increases.

The variation degree deriving unit may perform statistical processing on inspection results for each inspection item, and may derive the degree of variation from the results of the statistical processing.
According to the above configuration, the result of statistical processing of the inspection result is used, so the degree of variation can be evaluated with high accuracy.
The variation degree derivation unit may derive the variation degree from the statistical processing result by referring to a determination table that defines a correspondence relationship between the statistical processing result and the variation degree in advance.

According to the above configuration, it is possible to quickly derive the degree of variation with a low load.
Here, "inspection items" include those that are quantitatively measured using instruments such as current and voltage values, and those based on the inspector's five senses such as the presence or absence of rust, abnormal noise or odor. Some are evaluated qualitatively. For inspection items that are quantitatively measured, the measured numerical value (eg, 5V) is the inspection result. For inspection items to be qualitatively evaluated, any one (for example, ○ mark) selected from a plurality of predesignated stages (for example, three stages of ○ mark, × mark, and Δ mark) is the inspection result.

When the inspection items are quantitatively measured, the variation degree deriving unit may calculate the statistical variation of the inspection result as statistical processing for the inspection result, or derive the variation degree from the calculated statistical variation. good.
"Statistical variability" is a measure of the variability of data, such as, for example, variance, standard deviation and mean difference. According to the above configuration, statistical arithmetic processing is performed using quantitative inspection results, so the degree of variation can be evaluated with high accuracy.

When inspection items are qualitatively evaluated, the variation degree deriving unit may calculate the appearance frequency of each stage as statistical processing for the inspection result, and may derive the variation degree from the calculated appearance frequency.
The “appearance frequency of each stage” is the ratio of the number of stages as inspection results to the total number of inspection results in the acquired history. For example, if the total number is 50, the number of inspection results "○" is 30, the number of inspection results "X" is 10, and the number of inspection results "△" is 10, the appearance frequency of "○" is 60%, " The appearance frequency of "x" and "Δ" is 20%. If any one of them has a remarkably high appearance frequency, the variation in inspection results is small. If the appearance frequencies of all stages are similar, the inspection results are widely dispersed.

According to the above configuration, even when inspection items are qualitatively evaluated, it is possible to accurately evaluate the degree of variation by using such appearance frequencies.
The variation degree deriving unit may correct the variation degree according to the influence factor that affects the variation of the inspection result.
According to the above configuration, attention is paid to the presence of influence factors other than the quality of inspection work content that may induce variations in inspection results, and the degree of variation is corrected according to such influence factors. Therefore, the degree of variability of each inspection item has a high correlation with the quality of inspection work content, and the reliability of the degree of caution determined based on the degree of variability also increases.

The influencing factors include at least one of the following: human factors related to inspector qualifications, instrument factors related to instruments required for inspection work, and environmental factors related to the site environment where inspection work is performed. may be
According to the above configuration, the degree of variability is corrected according to human factors, instrument factors, and environmental factors that may induce variability in inspection results. have a high correlation.

Here, the degree of influence of the "influence factor" on the inspection result differs for each inspection work. For example, if the k-th inspection work is performed by the inspector P in fine weather, and the following k+1-th inspection work is performed by the inspector Q in the rainy weather, the human intervention for the k-th inspection result The degree of influence of factors and environmental factors is different from the degree of influence of human factors and environmental factors on the k+1-th inspection result. If the inspector P is less experienced than the inspector Q, the k-th inspection result may deviate from the average level. The k+1th inspection result may deviate from the average level because it was performed in rainy weather.

When correcting the degree of variation, the degree of variation derivation unit may correct the inspection result according to the influencing factor for each inspection result, and derive the degree of variation based on the corrected inspection result.
According to the above configuration, first, the inspection result is corrected according to the influencing factor in light of the characteristics of the influencing factor as described above. In this correction process, it is possible to correct inspection results that may deviate from the average level due to the influence of influencing factors. Since the degree of variation is derived based on the inspection results corrected in advance, the degree of variation has a high correlation with the quality of the inspection work.

The degree-of-variation deriving unit may calculate the degree of influence of the influence factor for each inspection result, and may correct the degree of variation based on the degree of influence thus calculated.
According to the above configuration, the degree of influence of the influencing factor on the inspection result can be obtained quantitatively, so that the degree of variation excluding the influence of the influencing factor can be evaluated with high accuracy.
An inspection work support system according to the present invention includes the inspection work support device described above and an inspector information terminal. The inspector information terminal is communicably connected to the inspection work support device, and carried by the inspector at the site of the inspection work.

According to the above configuration, since the inspection work support device is linked with the inspector information terminal, it is possible to use the processing result of the inspection work support device to facilitate inspection work by the inspector at the site.
The inspector information terminal may transmit a work start signal to the inspection work support device when starting the inspection work. The inspection work support device may transmit first caution item information indicating a first caution item determined to have a high degree of caution based on the degree of variation among the plurality of inspection items to the inspector information terminal. good. When displaying a plurality of inspection items, the inspector information terminal may display the first caution item and other inspection items differently.

According to the above configuration, the inspector can easily understand the inspection item to which particular attention should be paid from the display of the plurality of inspection items, and pays attention to the first caution item with a high degree of caution. are encouraged to do so. Therefore, it is possible to support the quality assurance of the inspection work contents of the first caution item.
When the work start signal is output, the inspection work support device may calculate, for each inspection item, the degree of influence of the influence factor that affects the inspection result when the inspection work is performed. The inspection work support device transmits, to the inspector information terminal, second caution item information indicating a second caution item determined to have a high degree of caution among the plurality of inspection items based on the calculated degree of influence. You may When displaying a plurality of inspection items, the inspector information terminal may display the second caution item differently from the inspection items other than the first caution item and the second caution item.

According to the above configuration, the inspection work support device not only presents to the inspector information terminal the first caution item for which there is a concern that the quality of the inspection result may deteriorate from the inspection result history so far, but also presents the second caution item to the inspector information terminal. Determine the presence or absence of caution items. The second caution item is an inspection item that may be affected by an influencing factor in the current inspection work, and is an inspection item that may cause inspection results to deviate from the average level due to the presence of the influencing factor. The inspector can easily understand such inspection items from the display of a plurality of inspection items, and is encouraged to pay attention to the second caution item. Therefore, it is possible to prevent the inspection result of the second caution item from deviating from the average level.

The second caution-requiring item information may include caution factor information indicating a caution factor that is an influence factor indicating a numerical value with a high degree of influence. When displaying a plurality of inspection items, the inspector information terminal may display attention factor information of the second caution item.
According to the above configuration, when the inspection work support device presents to the inspector information terminal what inspection items are likely to be affected by the influencing factors, it is possible to determine which of the influencing factors will affect the inspection result. At the same time, it is presented whether the degree of Information about the attention factor as an influencing factor with a high degree of influence is displayed on the inspector information terminal. Therefore, the inspector can easily understand how to pay attention to the second caution item.

An inspection work support method according to the present invention acquires a history of inspection results of a plurality of inspection items, and derives a degree of variation indicating the degree of variation in inspection results for each inspection item from the acquired history. and determining, for each inspection item, a degree of caution that indicates the degree of caution required during inspection work, based on the derived degree of variation.
An inspection work support program according to the present invention causes a computer to execute the above method.

The method and program have the same or corresponding technical features as the device. Therefore, based on the degree of variation, it is possible to accurately extract inspection items that tend to deteriorate in quality and require attention during inspection work.

ADVANTAGE OF THE INVENTION According to this invention, quality assurance of inspection work content can be supported.

1 is a block diagram showing an inspection work support device and an inspection work support system including the same according to an embodiment of the present invention; FIG. 4 is a schematic diagram of an inspection form created by an inspector during inspection work; FIG. It is a figure which shows an example of an inspection result log|history. It is a flow chart which shows an example of an inspection work support method concerning an embodiment of the present invention. (A) is a diagram showing a determination period setting table, and (B) is an explanatory diagram of processing for extracting inspection results within the determination period. (A) is a diagram showing an influence degree table, (B) is a diagram showing an influence determination table, and (C) is an explanatory diagram of processing for correcting inspection results. (A) is a diagram showing a quantitative measurement item determination table, (B) is a diagram showing a qualitative evaluation item determination table, (C) is an explanatory diagram of a process for deriving the degree of variation of inspection items quantitatively measured, (D) is an explanatory diagram of the process of deriving the degree of variation of inspection items to be qualitatively evaluated, and (E) is a diagram showing a caution degree determination table. 6 is a flow chart showing an example of an inspection work support method executed by an inspection work support device and an inspector information terminal during inspection work; (A) and (B) are diagrams showing an example of display on the inspector information terminal during inspection work, and (B) in particular shows a state in which a message representing attention factor information is displayed.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The same reference numerals are given to the same or corresponding elements throughout the drawings, and duplicate descriptions are omitted.
(Application example)
FIG. 1 shows an inspection work support system 100 including an inspection work support device 1 according to this embodiment. The inspection work support system 100 is suitably applied to the management work of maintenance and inspection contractors who undertake inspection work for equipment installed in each of a plurality of facilities.

"Facilities" are relatively large-scale business establishments, such as factories, government buildings, schools, hospitals, hotels, sports facilities, entertainment facilities, commercial facilities, and the like. The “equipment” includes, for example, electrical equipment (or electrical work), communication equipment, mechanical equipment (e.g., elevators), air conditioning equipment, disaster prevention equipment, sanitary equipment, septic tanks, and the like.
In the following, the present embodiment will be described by taking as an example a case where private electrical equipment (in particular, high-voltage power receiving equipment) is to be inspected, and by taking as an example a case where the inspection work is a monthly periodic inspection.

Examples of private electrical equipment that require inspection work include high-voltage power receiving equipment, special high-voltage power receiving equipment, power generation equipment other than low-output power generation equipment, and the like.
High-voltage power receiving equipment receives high-voltage electricity (e.g., 6,600V or 3,300V) from distribution lines, transforms it to low-voltage electricity (e.g., 100V or 200V), and supplies low-voltage electricity to load equipment within the facility. A so-called "cubicle" is one type of such high-voltage power receiving equipment.

A cubicle includes a housing and internal equipment housed therein. The housing is a grounded metal box, and the inside is opened and closed with a front door. Internal equipment includes transformers, instruments, switches and protection devices. Meters measure and display voltage, current, electric energy, and the like. Switches open and close circuits. Protective equipment protects equipment in the event of overcurrent, ground fault, abnormally high voltage, and the like. In addition, the internal equipment includes a capacitor and the like for improving the power factor.

Inspection work for high-voltage power receiving equipment in use is divided into daily patrols, daily inspections, periodic inspections, detailed inspections, and temporary inspections (see JEAC 8011, etc.). There are monthly and annual periodic inspections. Monthly regular inspections are conducted once every one to three months, and the presence or absence of abnormalities is confirmed by the use of the five senses of the inspector or the use of various measuring instruments handled by the inspector. The inspection items in the monthly periodic inspection are wide-ranging.

(Inspection items)
As schematically shown in FIG. 2, an inspector prepares an inspection form 9 in which necessary items and inspection results of a plurality of inspection items are input during inspection work. "Input" includes handwriting on a paper medium, but is electronically performed using the inspector information terminal 2 unless otherwise specified in this document.

The required items include date and time information indicating the date and time of work, environmental information indicating the working environment such as weather, temperature and humidity during inspection work, inspection target information identifying equipment and facilities where it is installed, equipment and its internal equipment ratings Specification information such as current is included. Inspector information that identifies the inspector who performed the inspection work may also be included.
Among the inspection items, there are items that are measured quantitatively by using measuring instruments or by reading the gauges attached to the equipment. For inspection items that are quantitatively measured, the inspection result is the measured numerical value. In high-voltage power receiving equipment, inspection items that are quantitatively measured include transformer secondary voltage, transformer load current, transformer temperature, transformer leakage current, and the like.

Some inspection items are evaluated qualitatively. Inspectors use their five senses mainly to check for changes in appearance (for example, the occurrence of rust and adhesion of dust to insulating oil), vibrations, abnormal noises and odors, etc., to determine the condition of each internal device. are qualitatively evaluated. In high-voltage power receiving equipment, inspection items to be qualitatively evaluated include the state of a transformer, the state of a capacitor, the state of a switch, and the like.

This "state" may consist of a plurality of inspection items that are set independently of each other for one piece of equipment. In this case, the inspector shall check the results of the visual inspection for appearance changes, the visual or tactile inspection results for vibrations, the auditory inspection results for abnormal noise, and the olfactory inspection results for abnormal odors. are individually entered in the inspection form 9. Alternatively or additionally, the "status" may be an inspection item that indicates a single overall judgment result for one piece of equipment. In this case, the inspector comprehensively judges whether the condition is good or bad based on visual, auditory, tactile and olfactory senses, and inputs the judgment result into the inspection form 9 as the inspection result. Although FIG. 2 shows both aspects (both individual results and total results require input), only one of them is possible.

For the inspection items to be qualitatively evaluated, the inspection result is any one selected from a plurality of predesignated stages. The three stages of "○", "X", and "Δ" are typical examples of the "predetermined plurality of stages". In this example, the ◯ mark corresponds to the "normal" inspection result, and the x mark corresponds to the "abnormal" inspection result. The △ mark corresponds to, for example, the inspection result of "prediction of abnormality", and indicates a state in which a request or proposal such as replacement should be made to the owner of the facility.
Note that the number of stages of evaluation and the symbols or signs representing each stage are not limited to this example, and can be changed as appropriate.

(Inspection work support system)
If the quality of the contents of the inspection work itself is maintained at a high level, the inspection results obtained periodically are considered to be stable at a certain average level or level. Conversely, if there is variation in the inspection results, one of the causes may be the quality of the inspection work. However, it is conceivable that there are factors other than the quality of inspection work that cause variation in inspection results.

The inspection work support system 100 according to the present invention focuses on such points, obtains variations in inspection results by referring to the history of inspection results, and finds factors other than the quality of inspection work content that cause variations in inspection results. While taking into consideration, the inspection items that tend to deteriorate the quality of the inspection work contents are extracted based on the variation in the inspection results. The inspection work support system 100 utilizes this extraction result to support quality assurance of the inspection work content.

As shown in FIG. 1 , the inspection work support system 100 includes an inspection work support device 1 , an inspector information terminal 2 connected to the inspection work support device 1 , and a data server 3 .
The inspection work support device 1 is implemented by, for example, a server managed by a maintenance and inspection company, and an information terminal handled by an operator who is involved in the management work of the maintenance and inspection company. A server or information terminal is a computer with a CPU, memory and input/output interfaces.

The inspection work support program according to the present invention is installed in such a computer and stored in its memory, for example. The CPU reads the program in memory and processes the information according to the steps instructed by the program. Thereby, such a computer can execute the inspection work support method according to the present invention and function as the inspection work support device 1 . However, the inspection work support program does not need to be stored in the same computer as the CPU that reads it, and may be stored on a server or cloud that is physically separated from this computer.

The inspector information terminal 2 is an information terminal carried by the inspector during inspection work, and is realized by, for example, a smartphone or tablet.
The inspector information terminal 2 includes a touch panel 21 and a communication unit 22 , and a work application 23 is installed in the inspector information terminal 2 . The work application 23 has a display item storage unit 24 and a display control unit 25 .

The touch panel 21 has both a function as a display section that displays information and a function as an input section through which input operations are performed by the inspector. The communication unit 22 is configured to transmit and receive information to and from the inspection work support device 1 and other communication devices.
The work application 23 is software for supporting inspection work by an inspector. The inspector activates the work application 23 when performing inspection work. The display item storage unit 24 stores a plurality of inspection items. The display control unit 25 causes the touch panel 21 to display a plurality of inspection items stored in the display item storage unit 24 . At this time, display control is performed to call attention to the inspector who is performing inspection work.

The data server 3 stores various kinds of information necessary for executing the inspection work support method. For example, the data server 3 stores inspection result history 31 that has been accumulated over the past ten years or more. The data server 3 may store the inspection work schedule 39 . The inspection work schedule 39 indicates facilities scheduled to be inspected on each date and inspectors scheduled to perform each inspection work.

(Inspection work support device)
As shown in FIG. 1 , the inspection work support device 1 includes a storage unit 10 , a communication unit 11 , a data acquisition unit 12 , a variation degree derivation unit 13 and a caution degree determination unit 14 .
The storage unit 10 stores various information necessary for information processing by the inspection work support device 1 . The storage unit 10 stores, for example, a determination period setting table 32, a determination table 33, an impact level table 34, an impact determination table 35, and a caution level determination table 36. A part of these tables 32 to 36 may be stored in the data server 3 .

The communication unit 11 is configured to transmit and receive information to and from the inspector information terminal 2 . The data acquisition unit 12 acquires the inspection result history 31 from the data server 3 and serves as an "inspection history acquisition unit". The data acquisition unit 12 may acquire the inspection work schedule 39 from the data server 3 .
From the inspection result history 31 acquired by the data acquisition unit 12, the variation degree deriving unit 13 derives, for each inspection item, a variation degree indicating the degree of variation in the inspection result. The caution degree determination unit 14 determines a degree of caution indicating the degree of caution required during inspection work for each inspection item based on the degree of variation derived by the degree of variation derivation unit 13 .

(Derivation of degree of variation/Determination of the first caution item)
<Inspection result history>
FIG. 3 schematically shows an inspection result history 31 at one site. FIG. 3 shows, as a mere example, inspection result histories of three inspection items among a plurality of inspection items: "sound of transformer A", "smell of transformer A", and "load current of transformer A". showing.

In the example, inspection work is performed once a month at the site. FIG. 3 shows an inspection result history 31 after completion of inspection in September 2021 and before inspection in October 2021 as a mere example in this case. On the data server 3, inspection results for the past one to ten-odd years are accumulated for each inspection item. FIG. 3 extracts and shows the inspection results for the last six months only for the sound and load current, and the two inspection results for the last time and one year ago for the odor. On the data server 3, an inspection result history 31 as shown in FIG. 3 is stored for each site.

The inspection result history 31 is composed of an inspection date, an inspection result, and information at the time of inspection for each inspection item. The inspection results are as described above with reference to FIG. The inspection time information includes inspector information, instrument information, and environmental information. These are "influence factors" that influence variations in inspection results, other than the contents of the inspection results. Influence factors are factors other than the content of inspection results that are considered to induce variations in inspection results. The inspection time information may also include, in addition to this, failure information related to the deterioration or abnormality of the internal device to be inspected.

Furthermore, the information at the time of inspection may include repair presence/absence information indicating whether or not repairs have been made.
In this embodiment, the "influence factor" is a "human factor" related to the quality of the inspector who performed the inspection work of the inspection item, and an "instrument factor" related to the instrument necessary for the inspection work of the inspection item. , and an "environmental factor" related to the environment of the site where the inspection work for the inspection item was performed.

The inspector information is information related to human factors, and includes, for example, the inspector's service years, age, and inspection work experience for the inspection item. The instrument information is information related to instrument factors, and includes, for example, the number of types of instruments required for inspection of the inspection item, and the number of experiences of inspectors using the instruments required for inspection of the inspection item. Environmental information is information related to environmental factors, and includes, for example, weather, temperature, and humidity during inspection work.

<Acquire history>
Derivation of the degree of variation will be described below with reference to FIG. The data acquisition unit 12 determines whether or not a predetermined “variation derivation condition” is satisfied for each site (S1). If the variation derivation condition is satisfied (S1: Y), the inspection result history 31 corresponding to the site is obtained from the data server 3 (S2). The variation derivation condition may be, for example, the time when the creation of a new inspection form 9 at the site is completed and the input contents of the inspection form 9 are saved on the data server 3 as the inspection result history 31 .

Next, the variation degree deriving unit 13 sets the period of the inspection result history 31 used for deriving the variation degree for each inspection item (S3). In this setting, the variation degree derivation unit 13 refers to the determination period setting table 32 as shown in FIG. 5(A). In the determination period setting table 32, correspondence relationships between inspection items and corresponding determination periods are determined in advance. For example, the period of any inspection item is set to either of two periods (for example, the shorter one) of the period from the time of the previous repair to the present time and the predetermined period retroactively from the present time.

This predetermined period is set for each inspection item. In FIG. 5(A), sound, vibration and load current are for half a year, and smell is for one year. Here, it is assumed that transformer A has not been repaired within the last year. In that case, as indicated by the thick frame in FIG. set for half a year. The same is true for transformer A load current and vibration. The variation degree deriving unit 13 sets the period of the history to be referred to for deriving the variation degree of the odor inspection result of the transformer A to one year retroactively from the present time.

<Correction of inspection results>
Next, the degree-of-variation deriving unit 13 corrects the inspection results according to the influencing factors for each inspection result within the determination period (S4). In this correction, the degree-of-variation deriving unit 13 refers to the influence degree table 34 and the influence determination table 35 as shown in FIGS. 6(A) and 6(B).
The impact table 34 predetermines the correspondence relationship between the content of the information and the impact for each piece of inspection time information. The information content that is considered to have a high probability of causing variations in inspection results has a relatively high degree of influence.

For example, if the inspection item is the presence or absence of abnormal noise, the degree of influence increases as the length of service of the inspector decreases. This is because the shorter the number of years of service, the lower the level of proficiency, which is thought to induce variations in inspection results. In addition, the higher the age of the inspector, the higher the degree of influence. This is because the older the person is, the more likely the hearing is to deteriorate, which is thought to induce variations in the inspection results. If the weather is rainy, the degree of influence is higher than if it is cloudy or sunny. This is because, in rainy weather, there is a risk that the rain noise will interfere with distinguishing abnormal noises emitted from the internal devices, and it is thought to induce variations in the inspection results.

Such a correspondence relationship between the inspection time information and the degree of influence is determined independently for each inspection item. For example, it is generally believed that people are more likely to notice odors when the humidity is high, but it is believed that the humidity does not greatly affect the detection sensitivity of, for example, the presence or absence of vibration. Therefore, if the inspection item is the presence or absence of offensive odors, the degree of influence is set to change greatly depending on the level of humidity. good too.

The variation degree deriving unit 13 calculates the degree of influence based on the inspection time information of each work day for each inspection item while referring to the influence degree table 34 . Taking the inspection work on April 30 for the presence of abnormal noise in transformer A as an example, the inspector in charge has five years of service and is 60 years old, so the degree of influence of the number of years of service is 1, and the degree of influence of age is 1. The influence degree is calculated as 5. In the same manner, the variability derivation unit 13 also targets the remaining inspection information such as the number of inspection experiences, the number of types of instruments, the number of usage experiences, weather, temperature, and humidity, and calculates the degree of influence corresponding to each inspection information. calculate.

Next, while referring to the influence determination table 35, the variation degree derivation unit 13 determines whether correction of the inspection result is necessary or not based on the calculated influence degree, and if necessary, determines the degree of correction.
Here, the influence determination table 35 predetermines the correspondence relationship between the inspection time information and the consideration value of the degree of influence. The variation degree derivation unit 13 determines whether or not the calculated influence degree is equal to or greater than the corresponding consideration value for each piece of inspection time information.

For example, in the same manner as described above, taking the inspection work on April 30 for abnormal noise in transformer A as an example, the degree of influence of years of service is 1, and the degree of influence of age is 5. In the influence determination table 35, the consideration value of the degree of influence of years of service is set to 4, and the consideration value of age is set to 5. With respect to years of service, the impact is below the consideration value. Regarding age, the degree of influence is above the consideration value. In the same way, the variability deriving unit 13 compares the influence degree and the consideration value for remaining inspection information such as the number of inspection experiences, the number of types of instruments, the number of usage experiences, weather, temperature, and humidity.
Next, the variation degree deriving unit 13 counts inspection time information whose influence degree is equal to or greater than the consideration value. Here, at least age is counted as information at the time of inspection whose degree of influence is equal to or greater than the consideration value.

Next, the variation degree derivation unit 13 corrects the inspection result according to the number of pieces of inspection time information whose influence degree is equal to or greater than the consideration value. As for inspection items to be qualitatively evaluated, if the number of items is large, the grade of the inspection result is lowered to correct the inspection result. If the number is 2 or less, the inspection result is not corrected on the assumption that there is no variation in the inspection result due to the influencing factor. If the number is 3, it is assumed that the reliability of the inspection result has decreased due to the influencing factor, and the inspection result is corrected by lowering the level of the inspection result by one level. If the inspection result is a circle, it is corrected to a triangle, and if it is a triangle, it is corrected to a cross. If it is originally marked with x, the mark with x is maintained. If the number is 4 or more, it is assumed that the reliability of the inspection result is greatly reduced due to the influence factor, and the inspection result is corrected by lowering the level of the inspection result by two levels (or lowering it to the lowest level). . Both the ○ mark and the △ mark are corrected to the X mark, and if the X mark is originally the X mark, the X mark is maintained.

In an example similar to the above, in the inspection item for qualitative evaluation of the presence or absence of abnormal noise in the transformer A, the degree of influence is equal to or greater than the consideration value at least with respect to age. Assume that there are two pieces of information at the time of inspection whose degree of influence is equal to or greater than the consideration value. In that case, there are a total of three pieces of such inspection time information. The results of the abnormal noise inspection of transformer A, which was inspected on April 30, are marked with a circle. The degree-of-variation deriving unit 13 performs correction so as to lower the stage by one stage. The inspection result marked with ○ is corrected to marked with △ (see FIG. 6(C)).

On the other hand, with respect to inspection items that are quantitatively measured, if the number of pieces of information at the time of inspection whose degree of influence is greater than or equal to the consideration value is large, the numerical value of the inspection result is corrected. If the number is 2 or less, the inspection result is not corrected on the assumption that there is no variation in the inspection result due to the influencing factor. If the number is 3, the numerical value of the inspection result is corrected by a predetermined value (for example, 0.5) in the positive or negative direction, assuming that the reliability of the inspection result has decreased due to the influencing factor. If the number is 4 or more, it is assumed that the reliability of the inspection result is greatly reduced due to the influence factor, and the numerical value of the inspection result is corrected by a predetermined value (eg, 1.0) in the positive or negative direction. .
The degree-of-variation deriving unit 13 performs the inspection result correction process as described above for each inspection item on each inspection day.

<Derivation of degree of variation>
Next, the variation degree deriving unit 13 derives the variation degree for each inspection item while referring to the determination table 33 based on the corrected inspection result within the determination period. The determination table 33 includes a quantitative measurement item determination table 33A used for deriving the degree of variation of inspection items to be quantitatively measured, and a qualitative evaluation item determination table 33A used to derive the degree of variation of inspection items to be qualitatively evaluated. There is a table 33B.

As shown in FIG. 7A, the quantitative measurement item determination table 33A is provided for each inspection item to be quantitatively measured. The upper part of FIG. 7A shows a quantitative measurement item determination table 33Aa for transformer secondary voltage, and the lower part shows a quantitative measurement item determination table 33Ab for transformer load current.
The quantitative measurement item determination table 33A predetermines the correspondence relationship between the statistical variation of inspection results and the degree of variation. Statistical variability is an index that quantitatively expresses a measure of data variability, such as variance, standard deviation, or mean difference. In the present embodiment, standard deviation is employed as the statistical variation, merely as an example. The unit of standard deviation is the same as that of the original data. Therefore, the quantitative measurement item determination table 33A is provided for each inspection item. The higher the numerical value of statistical variability, the greater the degree of variability.

As shown in FIG. 7B, the quantitative measurement item determination table 33A is provided in common for inspection items to be qualitatively evaluated. The qualitative evaluation item determination table 33B predetermines the correspondence relationship between the appearance frequency of each stage and the degree of variation. The appearance frequency of each stage is the ratio of the number of each stage as inspection results to the total number of inspection results within the determination period. For example, if inspection is performed once a month and the determination period is set to six months retroactively from the present time, the total number of inspection results in the determination system is six. In this embodiment, three grades of ◯ mark, X mark and Δ mark are determined in advance as inspection results of inspection items to be qualitatively evaluated. The ratio of the number of ○ marks to the total number (6), the ratio of the number of × marks to the total number (6), and the ratio of the number of △ marks to the total number (6) are the above-mentioned "appearance frequency of each stage". handle.

If the appearance frequencies of all stages are similar, the degree of variation is large. In addition, when the frequency of appearance of the △ mark is low but the contents of the inspection results are significantly different and the frequency of appearance of the ○ mark and the × mark is similarly high, the degree of variation is large. If the frequency of appearance of the marks ○ or × is low and the frequency of appearance of the rest is similarly high, the degree of variability is moderate. In addition, when the frequency of appearance of the Δ mark indicating neither normality nor abnormality is remarkably high, it cannot be said that the reliability of the inspection result is high, and the degree of variation is moderate. In a situation other than the above (for example, in a situation where the appearance frequency of ◯ marks or X marks is remarkably high), the degree of variation is small.

When performing the process of deriving the degree of variation with reference to the determination table 33, the variation degree derivation unit 13 first performs statistical processing on the inspection results for each inspection item. For inspection items that are quantitatively measured, the variation degree derivation unit 13 calculates statistical variations (for example, standard deviation) as statistical processing of the inspection results after correction within the determination period. For inspection items to be qualitatively evaluated, the degree-of-variation deriving unit 13 calculates the appearance frequency of each stage as statistical processing of the inspection results after correction within the determination period.

Next, based on the results of statistical processing of the inspection results, the variation degree deriving unit 13 calculates the variation degree of the inspection result of the inspection item while referring to the determination table 33 corresponding to the inspection item.
For example, as shown in FIG. 7(C), when the load current of transformer A is the inspection item, the standard deviation of the inspection results for the last six months, which is the judgment period, is calculated, and the calculated standard deviation is used to determine the load current The degree of variation is obtained according to the determination table 33A for. In the illustrated example, the standard deviation is 1 V or less, so the degree of variation is determined to be small.

For example, as shown in FIG. 7(D), when the presence or absence of abnormal noise in transformer A is an inspection item, the appearance frequency of each stage of the inspection results for the most recent six months, which is the judgment period, is calculated, and the calculated appearance The degree of variation is obtained from the frequency according to the qualitative evaluation item determination table 33B. In the illustrated example, the Δ mark is 50%, the × mark is 33%, and the ○ mark is 20%. Since the Δ mark exceeds 45%, the degree of variation is determined to be medium.
In this manner, the variability deriving unit 13 evaluates the variability of the inspection items to be qualitatively evaluated and the inspection items to be quantitatively measured using the same scale. In the present embodiment, as a mere example, the degree of variation in inspection results for each inspection item is evaluated in three levels of large, medium, and small.

<Attention degree determination part>
Next, for each inspection item, the attention determination unit 14 refers to the attention determination table 36 based on the degree of variation to determine the degree of caution that indicates the degree of caution required during inspection work (S6). The caution degree determination table 36 predetermines the correspondence relationship between the degree of variation and the degree of caution required. In this embodiment, as a mere example, the degree of variation is evaluated in three stages, and the degree of caution is also evaluated in the same number of stages as the degree of variation. The level of variation is equal to the level of caution required.

The caution degree determination unit 14 determines inspection items with medium and high caution levels (equivalent to medium and high variation levels in the present embodiment) as first caution items with high caution levels. The first caution items include inspection items with a high degree of caution and inspection items with a medium degree of caution.
This completes the processing performed when the variation derivation condition is satisfied. Hereinafter, a method of utilizing the determination results during inspection work after the inspection items with a high degree of caution are determined will be described.

(Equipment cooperation during inspection work)
As shown in FIG. 8, first, the inspector who has arrived at the site operates the inspector information terminal 2 to activate the work application 23 (S21). The display control unit 25 causes the touch panel 21 of the inspector information terminal 2 to display an initial input screen (S31).
Next, the inspector inputs inspection time information and the like on the initial input screen (S22), and performs an input operation to start work (S23). The input inspection information is mainly environmental information (for example, weather, temperature, humidity, etc.).

When a work start input operation is performed, a work start signal is transmitted from the inspector information terminal 2 to the inspection work support device 1 . Along with the work start signal, the input inspection time information is also transmitted to the inspection work support device 1 . The display control unit 25 causes the touch panel 21 to display a standby screen (S32). While the standby screen is being displayed, the inspection work support device 1 performs the following processing.
When the inspection work support device 1 receives the work start signal (S11), the inspection work support device 1 determines a second caution item based on the information at the time of inspection in the current inspection work (S12). The inspection work support device 1 may read the work schedule 39 from the data server 3 in order to collect inspection time information. The inspection work support device 1 refers to the influence degree table 34 and the influence determination table 35 in the same manner as in the inspection result correction process described above, and counts the inspection time information whose influence degree is equal to or greater than the consideration value for each inspection item. . If the number of pieces of inspection information whose influence degree is equal to or greater than the consideration value is equal to or greater than a predetermined value (for example, 2), the inspection work support device 1 determines the inspection item as the second caution item. Then, the inspection work support device 1 determines the inspection time information whose influence degree is equal to or greater than the consideration value as the attention factor.

Next, the inspection work support device 1 generates first caution item information and second caution item information (S13). The first caution item information is information that identifies the first caution item (inspection item determined to have a high degree of caution based on the degree of variation) from among a plurality of inspection items. The second caution item information is information that specifies the second caution item (inspection item that may cause variation in inspection results based on the information at the time of this inspection) from among multiple inspection items. be. Further, the second caution-requiring item information includes caution-factor information specifying a caution factor (a factor whose degree of influence exceeds a consideration value, that is, information at the time of inspection) among the influence factors related to the second caution-requiring item. For example, if the inspector is elderly and it is raining, and the degree of influence of the age and weather exceeds the consideration value for the inspection item of the presence or absence of abnormal noise of the transformer, the second caution item information includes Information indicating that the presence or absence of abnormal noise has been determined as the second caution item, and attention factor information indicating that age and weather are factors to consider regarding the presence or absence of abnormal noise from the transformer are included.

Next, the inspection work support device 1 transmits the generated first caution item information and second caution item information to the inspector information terminal 2 (S14).
When the inspector information terminal 2 receives the transmitted information (S24), the display control unit 25 causes the display on the touch panel 21 to transition from the standby screen to the inspection screen (S33). A plurality of inspection items stored in the inspection item storage unit are displayed on the inspection screen. When displaying this screen, the display control unit 25 determines the display mode of the first attention-requiring item (S25), determines the display mode of the second caution-requiring item (S26), and generates a warning message regarding the attention factor. (S27). The display control unit 25 highlights the first caution item and the second caution item on the inspection screen according to the determined display mode. The display control unit 25 displays the generated warning message on the inspection screen.

As exemplified in FIG. 9A, in order to highlight the first caution item and the second caution item, the display mode is the first caution item, the second caution item, and other inspection items. Varies by item. For example, the columns indicating items requiring special attention may be filled with red or yellow. A column indicating an item requiring attention may be displayed with a bold frame. The message indicating the attention factor information of the second attention-requiring item may not normally be displayed, and the presence of the message may be indicated by an icon. In this case, the inspector can confirm the contents of the message by tapping the icon on the touch panel (see FIG. 9B).

The inspector proceeds with the inspection work in sequence and inputs the inspection results on the inspection screen. This input operation corresponds to the work of electronically creating the inspection form 9 . When the input is completed (S28), the display control unit 25 displays the final input screen (S34). The inspector performs an input operation indicating that the work has been completed on the screen (S29). The work application is closed on the inspector information terminal 2 (S30).

When an input operation to end work is performed, a work end signal is transmitted to the inspection work support device 1 and received by the inspection work support device 1 (S15). The inspection result may also be transmitted to the inspection work support device 1 together with the work end signal. The inspection result of this time is recorded as part of the inspection result history 31 in the data server 3 regardless of whether or not the inspection work support device 1 is passed. As a result, the condition for deriving the variation is established, the degree of variation is derived again based on the inspection result history 31 at the site, and the first caution item is determined again (see FIG. 4). The decision result will be utilized in the next month's inspection work.

(Effect)
According to the inspection work support device 1, the degree of dispersion of inspection results for each inspection item is derived from the history of inspection results. Variation in inspection results may be caused by variations in the quality of inspection work. Therefore, based on the derived degree of variation, it is possible to accurately extract inspection items to which attention should be paid during work because the quality of the work content tends to deteriorate.

The degree-of-variation derivation unit 13 sets a history period used for deriving the degree of variation for each check item. The variation degree derivation unit 13 derives the variation degree based on the inspection results within the set period. In this way, the history period (how far back the inspection result is acquired) differs for each inspection item. Depending on the characteristics of each inspection item, inspection results that may deviate from the average level due to factors other than the quality of inspection work (for example, deterioration over time) can be excluded from the original data used to derive the degree of variation. can. Then, the variation degree of each inspection item comes to have a high correlation with the quality of the inspection work content. The reliability of the degree of caution determined based on the degree of dispersion also increases.

The variation degree deriving unit 13 performs statistical processing on inspection results for each inspection item, and derives the degree of variation from the results of the statistical processing. Since the results of statistical processing of inspection results are used, the degree of variation can be evaluated with high accuracy. At this time, the variation deriving unit 13 refers to the determination table 33 that defines in advance the correspondence between the results of the statistical processing and the variation. The dispersion degree can be derived quickly and with low load.

When the inspection items are quantitatively measured, the variation degree deriving unit 13 calculates statistical variations of the inspection results as statistical processing for the inspection results. Since statistical arithmetic processing is performed using quantitative inspection results, the degree of variation can be evaluated with high accuracy.
When inspection items are qualitatively evaluated, the variation degree deriving unit 13 calculates the appearance frequency of each stage as statistical processing for inspection results. Even when inspection items are qualitatively evaluated, the degree of variation can be evaluated with high accuracy by using such appearance frequencies.

The variation degree deriving unit 13 corrects the variation degree according to the influence factor that affects the variation of the inspection result. In addition to the quality of the inspection work content, attention is paid to the presence of influence factors that may induce variations in inspection results, and the degree of variation is corrected according to such influence factors. Therefore, the degree of variability of each inspection item has a high correlation with the quality of inspection work content, and the reliability of the degree of caution determined based on the degree of variability also increases.

When correcting the degree of variation, the degree of variation deriving unit 13 corrects the inspection result according to the influencing factor for each inspection result, and derives the degree of variation based on the corrected inspection result. In this way, inspection results that may deviate from the average level due to the influence of influencing factors are corrected first. Since the degree of variation is derived based on the inspection results corrected in advance, the degree of variation has a high correlation with the quality of the inspection work.

The degree-of-variation deriving unit 13 may calculate the degree of influence of the influence factor for each inspection result, and corrects the degree of variation based on the degree of influence calculated. The degree of influence of the influencing factor on inspection results can be obtained quantitatively. Therefore, it is possible to accurately evaluate the degree of variability without the influence of influence factors.
In the inspection work support system 100, such an inspection work support device 1 is communicably connected to an inspector information terminal 2 carried by an inspector at the site of inspection work. The inspection work support device 1 is linked with the inspector information terminal 2, and the processing result of the inspection work support device 1 can be used to facilitate the inspection work by the inspector at the site.

The inspector information terminal 2 transmits a work start signal to the inspection work support device 1 at the start of the inspection work. The inspection work support device 1 transmits to the inspector information terminal 2 first caution item information indicating the first caution item determined to have a high degree of caution based on the degree of variation among the plurality of inspection items. . When displaying a plurality of inspection items, the inspector information terminal 2 makes the display mode different between the first caution item and the other inspection items. As a result, the inspector can easily understand the inspection item to which particular attention should be paid from the display of a plurality of inspection items, and is urged to pay attention to the first caution item with a high degree of caution. . Therefore, it is possible to support the quality assurance of the inspection work contents of the first caution item.

When the work start signal is output, the inspection work support device 1 calculates, for each inspection item, the degree of influence of the influence factor that affects the inspection result when the inspection work is performed. The inspection work support device 1 transmits the second caution item information indicating the second caution item determined to have a high degree of caution based on the calculated degree of influence among the plurality of inspection items to the inspector information terminal 2. Send to When displaying a plurality of inspection items, the inspector information terminal 2 displays the second caution item in a display mode different from the other inspection items.

In this way, the inspection work support device 1 not only presents to the inspector information terminal 2 the first caution items for which there is a concern that the quality of the inspection results may deteriorate from the inspection result history 31 so far, but also presents the second caution items. Determine the presence or absence of caution items. The second caution item is an inspection item that may be affected by an influencing factor in the current inspection work, and is an inspection item that may cause inspection results to deviate from the average level due to the presence of the influencing factor. The inspector can easily understand such inspection items from the display of a plurality of inspection items, and is encouraged to pay attention to the second caution item. Therefore, it is possible to prevent the inspection result of the second caution item from deviating from the average level.

The second caution-requiring item information includes caution factor information indicating a caution factor that is an influencing factor indicating a numerical value with a high degree of influence. When displaying a plurality of inspection items, the inspector information terminal 2 displays attention factor information of the second caution item. In this way, when the inspection work support device 1 presents to the inspector information terminal 2 what inspection items are likely to be affected by the influencing factors, which of the influencing factors will affect the inspection result? At the same time, it is presented whether the degree is high. Therefore, the inspector can easily understand how to pay attention to the second caution item.

(Modification)
Although the embodiments of the present invention have been described so far, the above configurations can be appropriately changed, added and/or deleted within the scope of the present invention.
(A)
As the inspection work support system 100 is introduced and the number of times of inspection work increases, the number of inspection results obtained in situations where attention is called by presenting the second caution item information increases. In the above-described embodiment, the inspection result is corrected for such an inspection result because the inspection item has a large amount of information at the time of inspection and the degree of influence is equal to or greater than the consideration value.

On the other hand, the inspection results obtained under the condition where the second caution item information is presented are not corrected, or the threshold value of the number of pieces of information at the time of inspection that determines whether or not correction is necessary is increased (for example, 3 The number (see FIG. 6A) may be changed to 5, etc.) to make correction difficult. As a result, it is possible to prevent the inspection result from being excessively corrected by the influencing factor even though there is a high probability that the attention has been paid to the second caution item information.

(B)
In the above-described embodiment, the inspection items to be qualitatively evaluated are standardized in three grades, but the number of grades may differ depending on the inspection items.
In the above-described embodiment, the inspection items to be qualitatively evaluated are standardized in three stages of evaluation, so the determination table 33B is also standardized. It may be set separately depending on the difference in number.

(C)
In the above embodiment, the target of inspection is the high-voltage power receiving equipment for private use. Other equipment may be used.

100 Inspection work support system 1 Inspection work support device 2 Inspector information terminal 3 Data server 9 Inspection form 10 Storage unit 11 Communication unit 12 Data acquisition unit 13 Variation degree derivation unit 14 Attention degree determination unit 21 Touch panel 22 Communication unit 23 Application for inspection 24 Display item storage unit 25 Display control unit 31 Inspection result history 32 Judgment period setting table 33 Judgment table 34 Influence level table 35 Influence judgment table 36 Caution level judgment table 39 Inspection work schedule

Claims (16)

an inspection history acquisition unit that acquires a history of inspection results of a plurality of inspection items;
a variation degree derivation unit for deriving a variation degree indicating the degree of variation of the inspection result for each inspection item from the history acquired by the inspection history acquisition unit;
a caution degree determination unit that determines a degree of caution indicating the degree of caution required during inspection work for each inspection item based on the degree of variation derived by the degree of variation derivation unit;
An inspection work support device. The variation degree derivation unit
setting a period of the history used for deriving the degree of variation for each inspection item;
Deriving the degree of variation based on the inspection result within the set period;
The inspection work support device according to claim 1. The variation degree derivation unit
performing statistical processing on the inspection results for each of the inspection items;
Deriving the degree of variation from the results of the statistical processing;
The inspection work support device according to claim 1 or 2. The variation degree derivation unit derives the variation degree from the statistical processing result by referring to a determination table that defines a correspondence relationship between the statistical processing result and the variation degree in advance.
The inspection work support device according to claim 3. When the inspection item is measured quantitatively and the measured numerical value is the inspection result,
The variation degree derivation unit
As the statistical processing for the inspection result, calculating the statistical variation of the inspection result,
Deriving the degree of variability from the calculated statistical variability;
The inspection work support device according to claim 3 or 4. When the inspection item is qualitatively evaluated and any one selected from a plurality of predetermined stages is the inspection result,
The variation degree derivation unit
Calculate the appearance frequency of each stage as the statistical processing for the inspection result,
Deriving the degree of variation from the calculated appearance frequency,
The inspection work support device according to claim 3 or 4. The variation degree deriving unit corrects the variation degree according to an influencing factor that affects the variation of the inspection result.
The inspection work support device according to any one of claims 1 to 6. The influencing factors include at least any one of human factors related to the quality of inspectors, instrument factors related to instruments required for inspection work, and environmental factors related to the site environment where the inspection work is performed. includes one
The inspection work support device according to claim 7. When correcting the degree of variation, the degree of variation derivation unit
correcting the inspection result according to the influencing factor for each inspection result;
Deriving the degree of variation based on the corrected inspection result;
The inspection work support device according to claim 7 or 8. The variation degree derivation unit
Calculate the degree of influence of the influence factor for each inspection result,
correcting the degree of variation based on the calculated degree of influence;
The inspection work support device according to any one of claims 7 to 9. The inspection work support device according to any one of claims 1 to 10;
an inspector information terminal communicably connected to the inspection work support device and carried by an inspector at the site of inspection work;
An inspection work support system. The inspector information terminal transmits a work start signal to the inspection work support device at the start of the inspection work,
The inspection work support device transmits first caution item information indicating a first caution item determined to have a high degree of caution based on the degree of variation among the plurality of inspection items to the inspector information terminal. send to
When displaying the plurality of inspection items, the inspector information terminal causes the display mode to be different between the first caution item and the other inspection items,
The inspection work support system according to claim 11. When the work start signal is output, the inspection work support device
For each inspection item, calculate the degree of influence of the influence factor that affects the variation of inspection results when the inspection work is performed,
transmitting second caution item information indicating a second caution item determined to have a high degree of caution among the plurality of inspection items based on the calculated degree of influence to the inspector information terminal;
When the inspector information terminal displays the plurality of inspection items, the display mode is different between the second caution item and the inspection items other than the first caution item and the second caution item. let
The inspection work support system according to claim 12. The second attention-requiring item information includes attention factor information indicating a attention factor that is the influence factor indicating a numerical value with a high degree of influence,
The inspector information terminal displays the attention factor information of the second caution item when displaying the plurality of inspection items.
The inspection work support system according to claim 13. Acquiring a history of inspection results of a plurality of inspection items;
deriving a degree of variation indicating the degree of variation in the inspection result for each of the inspection items from the acquired history;
Determining a degree of caution indicating the degree of caution required during inspection work for each inspection item based on the derived degree of variation;
An inspection work support method comprising: causing a computer to execute the inspection work support method according to claim 15,
Inspection work support program.

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