Inspection work support system, inspection work support method, inspection work support program

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

[Technical Field]

[0001] The present invention is directed to assisting inspection work of electrical equipment, etc. Points The present invention relates to an inspection work support system, an inspection work support method, and an inspection work support program. [Background technology]

[0002] Electrical equipment such as private electrical facilities undergo periodic inspections for multiple inspection items. In order to maintain high safety and availability of electrical equipment, it is necessary to maintain high quality of the inspection work. For example, Patent Document 1 discloses a system that sequentially guides an inspector through inspection items according to an inspection work scenario on a terminal device carried by the inspector at the work site. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6853810 Summary of the Invention [Problem to be solved by the invention]

[0004] The above system is thought to be able to help ensure the quality of inspection work by preventing inspection omissions. However, the above system does not evaluate the quality of the inspection work itself for each inspection item. Therefore, an object of the present invention is to support quality assurance of inspection work content. [Means for solving the problem]

[0005] The present invention Inspection work support system teeth, The inspection work support device includes an inspection work support device and an inspector information terminal.The inspection system includes an inspection history acquisition unit, a variability deriving unit, and an attention level determining unit. The inspection history acquisition unit acquires a history of inspection results for a plurality of inspection items. The variability deriving unit derives a variability indicating the degree of variability in the inspection results for each inspection item from the history acquired by the inspection history acquisition unit. The attention level determining unit determines a level of attention required, indicating the degree of caution required during inspection work, for each inspection item based on the variability derived by the variability deriving unit. The inspection work support device also transmits first caution item information indicating a first caution item determined to require a high level of attention based on the degree of variation among the plurality of inspection items to the inspector information terminal. The inspector information terminal then transmits a work start signal to the inspection work support device at the start of inspection work, and, when displaying the plurality of inspection items, differentiates the display mode between the first caution item and the other inspection items.

[0006] According to the above configuration, the degree of variability in inspection results is derived for each inspection item from the inspection result history. The variability in inspection results may be due to variations in the quality of the inspection work. Therefore, based on the derived degree of variability, it is possible to accurately extract inspection items that tend to reduce the quality of the inspection work and require careful attention during the work. Furthermore, because the inspection work support device is linked to the inspector information terminal, the processing results of the inspection work support device can be used to facilitate inspection work by inspectors on site. Furthermore, inspectors can easily understand which inspection items require particular attention from the display of multiple inspection items, and are urged to pay attention to the first attention-requiring items that require the highest level of attention. This makes it possible to support the assurance of quality in the inspection work content for the first attention-requiring items. Here, the degree of deterioration of the equipment being inspected varies depending on the inspection item. Therefore, when obtaining history going back the same period for each inspection item, it is possible that older inspection results within that period may include inspection items that are affected by factors other than the quality of the inspection work (for example, deterioration over time) and inspection items that are not. Note that "history" includes data that has been digitized through the introduction of this system or a similar system, as well as data that was stored on paper before the introduction of this system or a similar system.

[0007] Therefore, the variation degree deriving unit may set a history period used to derive the variation degree for each inspection item, and may derive the variation degree based on the inspection results within the set period. According to the above configuration, the history period (how far back the inspection results are obtained) is varied for each inspection item. Therefore, 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 the inspection work content (for example, deterioration over time) can be excluded from the original data used to derive the variability. This makes the variability of each inspection item highly correlated with the quality of the inspection work content. This also increases the reliability of the level of attention required determined based on the variability.

[0008] The variation degree deriving unit may perform statistical processing on the inspection results for each inspection item, and may derive the variation degree from the results of the statistical processing. According to the above configuration, the results of statistical processing of the inspection results are used, so that the degree of variation can be evaluated with high accuracy. The variation degree deriving unit may derive the variation degree from the result of the statistical processing by referring to a determination table that defines a predetermined correspondence relationship between the result of the statistical processing and the variation degree.

[0009] According to the above configuration, the degree of variation can be derived quickly and with a low load. Here, "inspection items" include those that are measured quantitatively using instruments, such as current values ​​and voltage values, and those that are evaluated qualitatively based on the inspector's five senses, such as the presence or absence of rust, strange noises, or strange odors. For inspection items that are measured quantitatively, the measured value (e.g., 5V) is the inspection result. For inspection items that are evaluated qualitatively, the inspection result is one (e.g., a circle) selected from multiple pre-specified levels (e.g., three levels: a circle, an X, and a triangle).

[0010] When inspection items are quantitatively measured, the variability deriving unit may calculate the statistical variability of the inspection results as a statistical process for the inspection results, and may derive the variability from the calculated statistical variability. "Statistical variation" is an index that represents a measure of data variation, such as 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.

[0011] When the inspection items are qualitatively evaluated, the variability deriving unit may calculate the frequency of occurrence of each stage as a statistical process for the inspection results, and may derive the variability from the calculated frequency of occurrence. "Frequency of occurrence of each stage" is the ratio of the number of each stage as an inspection result 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 "×" is 10, and the number of inspection results "△" is 10, then the frequency of occurrence of "○" is 60%, and the frequency of occurrence of "×" and "△" is 20%. If the frequency of occurrence of any one is exceptionally high, the variance in the inspection results is small. If the frequency of occurrence of all stages is similar, the inspection results vary greatly.

[0012] According to the above configuration, even when the inspection items are qualitatively evaluated, the degree of variation can be evaluated with high accuracy by using such occurrence frequencies. The variability deriving unit may correct the variability in accordance with an influencing factor that affects the variability of the inspection result. According to the above configuration, the degree of variability is corrected in accordance with factors other than the quality of the inspection work that may cause variability in the inspection results, and the degree of variability for each inspection item is highly correlated with the quality of the inspection work, thereby increasing the reliability of the level of caution determined based on the degree of variability.

[0013] The influencing factors may include at least one of human factors related to the qualifications of the inspector, instrument factors related to the instruments required for the inspection work, and environmental factors related to the environment at the site where the inspection work is performed. 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 the inspection results, so that the corrected degree of variability has a high correlation with the quality of the inspection work content.

[0014] Here, the degree to which "influence factors" affect the inspection results differs for each inspection. For example, if the kth inspection is performed by inspector P on a sunny day and the subsequent k+1th inspection is performed by inspector Q on a rainy day, the degree of influence of human and environmental factors on the kth inspection results will be different from the degree of influence of human and environmental factors on the k+1th inspection results. If inspector P is less skilled than inspector Q, the kth inspection results may deviate from the average level. The k+1th inspection results may deviate from the average level because they were performed on rainy days.

[0015] When correcting the degree of variation, the variation deriving unit may correct the inspection results in accordance with the influencing factors for each inspection result, and derive the degree of variation based on the corrected inspection results. According to the above configuration, the inspection results are first corrected in accordance with the influencing factors in light of the characteristics of the influencing factors. This correction process can correct inspection results that may deviate from the average level due to the influence of the influencing factors. Since the variability is derived based on the pre-corrected inspection results, the variability has a high correlation with the quality of the inspection work content.

[0016] The variability deriving unit may calculate the influence of the influencing factor for each inspection result, and may correct the variability based on the calculated influence. According to the above configuration, the degree of influence of the influencing factors on the inspection results can be quantitatively determined, so that the degree of variation can be accurately evaluated with the influence of the influencing factors eliminated.

[0018] Made byWhen the work start signal is output, the inspection work support device may calculate, for each inspection item, the impact level of an influencing factor that will affect the inspection result if the inspection work is performed. The inspection work support device may transmit second attention item information indicating a second attention item that has been determined to require high attention based on the calculated impact level among the multiple inspection items to the inspector information terminal. When displaying the multiple inspection items, the inspector information terminal may display the second attention item in a different manner from inspection items other than the first attention item and the second attention item.

[0019] According to the above configuration, the inspection work support device not only presents to the inspector information terminal first items requiring attention that are likely to result in a decline in the quality of the inspection results based on the history of past inspection results, but also determines whether there are any second items requiring attention. Second items requiring attention are inspection items that may be affected by influencing factors in the current inspection work, and the presence of influencing factors may cause the inspection results to deviate from the average level. From the display of multiple inspection items, inspectors can easily understand such inspection items and are urged to pay attention to the second items requiring attention. This makes it possible to prevent the inspection results of the second items requiring attention from deviating from the average level.

[0020] The second attention item information may include attention factor information indicating an attention factor that is an influencing factor showing a high influence level numerical value. When displaying a plurality of inspection items, the inspector information terminal may display the attention factor information of the second attention item. According to the above configuration, when the inspection work support device displays on the inspector information terminal which inspection items may be affected by the influencing factors, it also displays which of the influencing factors have a high degree of influence on the inspection results. Information about the attention factors that are influencing factors 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 attention items.

[0021] The present invention The computer runsThe inspection work support method includes acquiring a history of inspection results for a plurality of inspection items, deriving a degree of variation indicating the degree of variation in the inspection results for each inspection item from the acquired history, and determining a level of caution indicating the degree of caution required during inspection work for each inspection item based on the derived degree of variation; transmitting first attention item information indicating a first attention item determined to require high attention based on the degree of variation among the plurality of inspection items to an inspector information terminal carried by the inspector at the site of the inspection work; and when displaying the plurality of inspection items on the inspector information terminal, differentiating the display mode between the first attention item and other inspection items; Equipped with. An inspection work support program according to the present invention causes a computer to execute the above method.

[0022] The method and program have the same or corresponding technical features as the device, and therefore can accurately extract inspection items that tend to deteriorate quality and require careful attention during inspection work, based on the degree of variation. Furthermore, because the inspection work support device is linked to the inspector information terminal, the processing results of the inspection work support device can be used to facilitate inspection work by inspectors on site. Furthermore, inspectors can easily understand which inspection items require particular attention from the display of multiple inspection items, and are urged to pay attention to the first attention-requiring items that require the highest level of attention. This makes it possible to support the assurance of quality in the inspection work content for the first attention-requiring items. [Effects of the Invention]

[0023] According to the present invention, it is possible to assist in ensuring the quality of inspection work. [Brief explanation of the drawings]

[0024] [Figure 1] 1 is a block diagram illustrating an inspection work support device according to an embodiment of the present invention and an inspection work support system including the same. [Figure 2] FIG. 1 is a schematic diagram of an inspection form prepared by an inspector during inspection work. [Figure 3] FIG. 10 is a diagram illustrating an example of an inspection result history. [Figure 4] 1 is a flowchart illustrating an example of an inspection work support method according to an embodiment of the present invention. [Figure 5] FIG. 1A is a diagram showing a judgment period setting table, and FIG. 1B is an explanatory diagram of a process for extracting inspection results within a judgment period. [Figure 6] FIG. 1A is a diagram showing an influence degree table, FIG. 1B is a diagram showing an influence determination table, and FIG. 1C is an explanatory diagram of a process for correcting inspection results. [Figure 7](A) is a diagram showing a quantitative measurement item judgment table, (B) is a diagram showing a qualitative evaluation item judgment table, (C) is an explanatory diagram of the process for deriving the degree of variation of inspection items that are quantitatively measured, (D) is an explanatory diagram of the process for deriving the degree of variation of inspection items that are qualitatively evaluated, and (E) is a diagram showing the attention level judgment table. [Figure 8] 10 is a flowchart showing an example of an inspection work support method executed by the inspection work support device and the inspector information terminal during inspection work. [Figure 9] (A) and (B) are diagrams showing an example of the display on an inspector information terminal during inspection work, and in particular (B) shows a state in which a message indicating attention factor information is displayed. DETAILED DESCRIPTION OF THE INVENTION

[0025] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The same or corresponding elements are designated by the same reference numerals throughout the drawings, and redundant description will be omitted. (Application example) 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 a maintenance and inspection company that undertakes inspection work of equipment installed in each of a plurality of facilities.

[0026] "Facilities" are relatively large-scale business establishments, such as factories, government buildings, schools, hospitals, hotels, sports facilities, entertainment facilities, commercial facilities, etc. "Equipment" includes, for example, electrical equipment (or electrical structures), communications equipment, mechanical equipment (e.g., elevators), air conditioning equipment, disaster prevention equipment, sanitary equipment, septic tanks, etc. Hereinafter, this embodiment will be described taking as an example a case where private electrical equipment (particularly high voltage power receiving equipment) is to be inspected, and taking as an example a case where the inspection work is a monthly regular inspection.

[0027] Examples of private electrical equipment that requires inspection work include high-voltage power receiving equipment, extra-high-voltage power receiving equipment, and power generation equipment other than small-output power generation equipment. Among these, high-voltage power receiving equipment transforms electricity received at high voltage (for example, 6,600V or 3,300V) from distribution lines to low voltage (for example, 100V or 200V) and supplies the electricity at low voltage to load equipment within the facility. The so-called "cubicle" is one type of high-voltage power receiving equipment.

[0028] A cubicle comprises a housing and internal equipment housed within it. The housing is a grounded metal box whose interior is opened and closed with a front door. The internal equipment includes a transformer as well as meters, switches, and protective devices. The meters measure and display voltage, current, power, etc. The switches open and close circuits. The protective devices protect the equipment in the event of overcurrent, ground faults, abnormally high voltage, etc. Other internal equipment includes capacitors for improving the power factor.

[0029] Inspection work for high-voltage power receiving equipment in operation is divided into daily patrols, routine inspections, periodic inspections, detailed inspections, and special inspections (see JEAC 8011, etc.). Periodic inspections are divided into monthly and annual inspections. Monthly periodic inspections are carried out once every one to three months, and the presence or absence of abnormalities is confirmed by the inspector's five senses or by using various measuring instruments handled by the inspector. The inspection items for monthly periodic inspections are diverse.

[0030] (Inspection items) As shown in Figure 2, when inspecting, an inspector creates an inspection form 9 in which he or she inputs the inspection results for multiple inspection items along with necessary information. "Input" also includes handwriting on paper, but in this document, unless otherwise specified, it is assumed that input is done electronically using the inspector information terminal 2.

[0031] The necessary items include date and time information indicating the date and time of the work, environmental information indicating the work environment such as weather, temperature, and humidity at the time of the inspection work, inspection target information identifying the equipment and the facility in which it is installed, specification information such as the rated current of the equipment and its internal devices, etc. Inspector information identifying the inspector who performed the inspection work may also be included. Some inspection items are measured quantitatively using measuring instruments or readings from meters attached to the equipment. For inspection items that are measured quantitatively, the inspection results are measured numerically. For high-voltage power receiving equipment, examples of inspection items that are measured quantitatively include the secondary voltage of the transformer, the load current of the transformer, the temperature of the transformer, and the leakage current of the transformer.

[0032] Some inspection items are evaluated qualitatively. Inspectors primarily use their five senses to qualitatively evaluate the condition of each internal device by checking for changes in appearance (for example, rust or dirt stuck in the insulating oil), vibration, strange noises, or strange odors. In the case of high-voltage power receiving equipment, examples of inspection items that are qualitatively evaluated include the condition of transformers, capacitors, and switches.

[0033] This "condition" may be composed of multiple inspection items set independently for a single piece of equipment. In this case, the inspector individually inputs into the inspection form 9 inspection results, such as the visual inspection result for the presence or absence of changes in appearance, the visual or tactile inspection result for the presence or absence of vibration, the auditory inspection result for the presence or absence of abnormal sounds, and the olfactory inspection result for the presence or absence of abnormal odors. Alternatively or additionally, the "condition" may be an inspection item that indicates a single comprehensive judgment result for a single piece of equipment. In this case, the inspector comprehensively judges whether the condition is good or bad based on the visual, auditory, tactile, and olfactory senses, and inputs this judgment result as the inspection result into the inspection form 9. While FIG. 2 shows both of these two aspects (although both the individual and comprehensive results must be input), only one of them may be used.

[0034] For inspection items that are evaluated qualitatively, the inspection result is one selected from multiple pre-specified stages. The three stages of "○", "×", and "△" are typical examples of "multiple pre-specified stages". In this example, the ○ mark corresponds to an inspection result of "normal", and the × mark corresponds to an inspection result of "abnormal". The △ mark corresponds to an inspection result of "signs of abnormality", for example, and indicates a state in which replacement or other requests or suggestions should be made to the equipment owner. The number of evaluation stages and the symbols or codes representing each stage are not limited to this example and can be changed as appropriate.

[0035] (Inspection work support system) If the quality of the inspection work itself is maintained at a high level, the inspection results obtained periodically are expected to stabilize at a certain average level or level. Conversely, if variations in the inspection results are observed, one of the causes may be a problem with the quality of the inspection work. However, it is also possible that there are factors other than the quality of the inspection work that cause variations in the inspection results.

[0036] The inspection work support system 100 according to the present invention focuses on this point, finds the variance in the inspection results by referring to the inspection result history, and extracts inspection items that tend to reduce the quality of the inspection work based on the variance in the inspection results while taking into consideration factors that cause variance in the inspection results other than the quality of the inspection work. The inspection work support system 100 utilizes the results of this extraction to support the assurance of the quality of the inspection work.

[0037] As shown in FIG. 1, the inspection work support system 100 includes an inspection work support device 1, as well as an inspector information terminal 2 and a data server 3 connected to the inspection work support device 1. The inspection work support device 1 is realized, for example, by a server managed by a maintenance and inspection company or an information terminal used by an operator involved in the management work of the maintenance and inspection company. The server or information terminal is a computer equipped with a CPU, memory, and an input / output interface.

[0038] The inspection work support program according to the present invention is installed on the computer and stored, for example, in its memory. The CPU reads the program from the memory and processes information according to the steps instructed by the program. This enables the computer to 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 the computer.

[0039] 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 includes a display item storage unit 24 and a display control unit 25.

[0040] The touch panel 21 functions both as a display unit that displays information and as an input unit through which an inspector performs input operations. 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 the inspection work by the inspector. The inspector launches the work application 23 when performing the inspection work. The display item storage unit 24 stores a plurality of inspection items. The display control unit 25 displays the plurality of inspection items stored in the display item storage unit 24 on the touch panel 21. At this time, display control is performed to call the attention of the inspector during the inspection work.

[0041] The data server 3 stores various information necessary for executing the inspection work support method. For example, the data server 3 stores an inspection result history 31 that has been accumulated over the past ten years or more. The data server 3 may also store an inspection work schedule 39. The inspection work schedule 39 indicates the facilities where inspection work is scheduled to be performed on each date and the inspectors who are scheduled to perform each inspection work.

[0042] (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 variability degree derivation unit 13, and a caution level determination unit . 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 judgment period setting table 32, a judgment table 33, an influence table 34, an influence judgment table 35, and an attention level judgment table 36. Some of these tables 32 to 36 may be stored in the data server 3.

[0043] 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 also acquire an inspection work schedule 39 from the data server 3. The variability deriving unit 13 derives a variability indicating the degree of variability in the inspection results for each inspection item from the inspection result history 31 acquired by the data acquiring unit 12. The caution level determining unit 14 determines a level of caution indicating the degree of caution required during the inspection work for each inspection item based on the variability derived by the variability deriving unit 13.

[0044] (Derivation of variability and determination of first items requiring attention) <Inspection result history> Fig. 3 shows a schematic diagram of an inspection result history 31 at a certain site. Fig. 3 shows, as a mere example, the inspection result history for three inspection items, namely, "Noise from Transformer A," "Smell from Transformer A," and "Load current from Transformer A," out of multiple inspection items.

[0045] In the example shown, inspection work is carried out at the site once a month. As a mere example, Figure 3 shows an inspection result history 31 after the September 2021 inspection is completed and before the October 2021 inspection. Inspection results for each inspection item spanning the past year to over a decade are stored on the data server 3. Figure 3 shows only the most recent six-month inspection results for sound and load current, and only two inspection results for odor, one from the previous inspection and one from a year ago. Inspection result history 31 such as that shown in Figure 3 is stored on the data server 3 for each site.

[0046] The inspection result history 31 consists of the inspection date, inspection result, and inspection time information for each inspection item. The inspection results are as described above with reference to Figure 2. The inspection time information includes inspector information, instrument information, and environmental information. These are "influencing factors" that affect the variability in the inspection results, other than the inspection result content. Influencing factors are factors other than the inspection result content that are thought to induce variability in the inspection results. In addition to this, the inspection time information may also include failure information related to deterioration or abnormalities in the internal equipment that is the subject of the inspection work.

[0047] Furthermore, the inspection time information may include repair information indicating whether or not repairs have been performed. In this embodiment, the "influencing factors" assumed are "human factors" related to the qualifications of the inspector who performed the inspection work for the inspection item in question, "instrument factors" related to the instruments required for the inspection work for the inspection item in question, and "environmental factors" related to the environment at the site where the inspection work for the inspection item in question was performed.

[0048] Inspector information is information related to human factors, including, for example, the inspector's years of experience in the field, age, and the amount of experience they have had inspecting the inspection item in question. Instrument information is information related to instrument factors, including, for example, the number of types of instruments required to inspect the inspection item in question, and the amount of experience the inspector has had using the instruments required to inspect the inspection item in question. Environmental information is information related to environmental factors, including, for example, the weather, temperature, and humidity during the inspection work.

[0049] <Get History> The derivation of the degree of variation will be described below with reference to Fig. 4. The data acquisition unit 12 determines whether a predetermined "variation derivation condition" is met for each site (S1). If the variation derivation condition is met (S1: Y), the inspection result history 31 corresponding to the site is acquired from the data server 3 (S2). The variation derivation condition may be, for example, the point in time when creation of a new inspection form 9 for the site is completed and the input contents of the inspection form 9 are saved as the inspection result history 31 on the data server 3.

[0050] Next, the variation derivation unit 13 sets, for each inspection item, a period of the inspection result history 31 to be used to derive the degree of variation (S3). In this setting, the variation derivation unit 13 refers to a judgment period setting table 32, as shown in FIG. 5(A). In the judgment period setting table 32, a correspondence between the inspection item and the corresponding judgment period is determined in advance. For example, the period for each inspection item is set to either (for example, the shorter of) two periods: the period from the last repair to the present time, or a predetermined period going back from the present time.

[0051] This predetermined period is set for each inspection item. In FIG. 5(A), the period for noise, vibration, and load current is six months, and the period for odor is one year. Here, it is assumed that transformer A has not been repaired within the past year. In this case, as shown by the bold frame in FIG. 5(B), the variability derivation unit 13 sets the historical period to be referenced in order to derive the degree of variability in the sound inspection results of transformer A to six months going back from the present time. The same applies to the load current and vibration of transformer A. The variability derivation unit 13 sets the historical period to be referenced in order to derive the degree of variability in the odor inspection results of transformer A to one year going back from the present time.

[0052] <Inspection result correction> Next, the variability deriving unit 13 corrects the inspection results for each inspection result within the determination period in accordance with the influencing factors (S4). In this correction, the variability deriving unit 13 refers to the influence table 34 and the influence determination table 35, as shown in Figures 6(A) and 6(B). The impact table 34 predetermines the correspondence between the content of the information and the impact for each piece of inspection information. Information content that is considered to have a high probability of causing variation in the inspection results will have a relatively high impact value.

[0053] For example, if the inspection item is the presence or absence of abnormal noise, the fewer years an inspector has in the business, the greater the impact. This is because the fewer years an inspector has in the business, the less skilled they are, which is thought to induce variability in the inspection results. Furthermore, the older the inspector, the greater the impact. This is because the older an inspector is, the greater the risk of their hearing deteriorating, which is thought to induce variability in the inspection results. If the weather is rainy, the impact is greater than if it is cloudy or sunny. In rainy weather, the sound of rain may interfere with listening to abnormal noises coming from internal equipment, which is thought to induce variability in the inspection results.

[0054] The correspondence between the inspection information and the impact level is determined independently for each inspection item. For example, it is generally believed that people are more likely to notice odors when humidity is high, but humidity is not thought to have a significant effect on the sensitivity of detecting vibration, for example. Therefore, when the inspection item is the presence or absence of an abnormal odor, the impact level is set to change significantly depending on the humidity, while for other inspection items, the impact level does not need to change significantly depending on the humidity.

[0055] The variability deriving unit 13 calculates the degree of influence based on the inspection information for each work day for each inspection item, while referring to this influence table 34. Taking the inspection work on April 30th to check for abnormal noise in transformer A as an example, the inspector in charge has 5 years of experience in the job and is 60 years old, so the influence of years of work is calculated to be 1 and the influence of age is calculated to be 5. In the same manner, the variability deriving unit 13 calculates the influence corresponding to each piece of inspection information for the remaining inspection information, such as the number of inspections experienced, the number of instrument types, the number of usage experiences, weather, temperature, and humidity.

[0056] Next, the variation degree derivation unit 13 determines whether or not the inspection results need to be corrected based on the calculated degree of influence while referring to the influence determination table 35, and if correction is required, determines the degree of correction. Here, the influence determination table 35 predetermines the correspondence between the inspection time information and the consideration value of the influence degree. The variability deriving unit 13 determines whether the calculated influence degree is equal to or greater than the corresponding consideration value for each piece of inspection time information.

[0057] For example, similar to the above, taking the inspection work on April 30th to check whether transformer A makes any abnormal noise as an example, the influence of years in the job is 1, and the influence of age is 5. In the influence determination table 35, the consideration value of the influence of years in the job is 4, and the consideration value of age is 5. With regard to years in the job, the influence is below the consideration value. With regard to age, the influence is equal to or greater than the consideration value. Similarly, the variability derivation unit 13 compares the influence with the consideration value for the remaining inspection time information, such as the number of inspection experiences, the number of instrument types, the number of usage experiences, the weather, temperature, and humidity. Next, the variation degree deriving unit 13 counts the inspection time information whose influence degree is equal to or greater than the consideration value. Here, at least age is counted as inspection time information whose influence degree is equal to or greater than the consideration value.

[0058] Next, the variability derivation unit 13 corrects the inspection results according to the number of pieces of inspection-time information whose influence level is equal to or greater than the consideration value. For inspection items that are qualitatively evaluated, if this number is large, the inspection results are corrected by lowering the level of the inspection results. If the number is two or less, it is assumed that there is no variation in the inspection results due to influencing factors, and the inspection results are not corrected. If the number is three, it is assumed that the reliability of the inspection results has decreased due to influencing factors, and the inspection results are corrected by lowering the level of the inspection results 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 an x. If it was originally an x, it is maintained as an x. If the number is four or more, it is assumed that the reliability of the inspection results has decreased significantly due to influencing factors, and the inspection results are corrected by lowering the level of the inspection results by two levels (or to the lowest level). Both circle and triangle marks are corrected to x, and if it was originally an x, it is maintained as an x.

[0059] In the same example as above, for the qualitatively evaluated inspection item of whether or not transformer A makes an abnormal noise, the influence level for at least age is equal to or greater than the consideration value. Assume that there are two other pieces of inspection time information whose influence levels are equal to or greater than the consideration value. In this case, there will be a total of three such pieces of inspection time information. The inspection result for whether or not transformer A makes an abnormal noise, which was inspected on April 30th, is marked with a circle. The variability deriving unit 13 corrects the result by lowering the level by one. The inspection result marked with a circle is corrected to a triangle (see FIG. 6(C)).

[0060] On the other hand, for inspection items that are quantitatively measured, if there are many pieces of inspection-time information whose influence level is equal to or greater than the consideration value, the numerical value of the inspection result is corrected. If the number is two or less, it is assumed that there is no variation in the inspection results due to the influencing factors, and the inspection result is not corrected. If the number is three, it is assumed that the reliability of the inspection result has decreased due to the influencing factors, and the numerical value of the inspection result is corrected in either the positive or negative direction by a predetermined value (e.g., 0.5). If the number is four or more, it is assumed that the reliability of the inspection result has significantly decreased due to the influencing factors, and the numerical value of the inspection result is corrected in either the positive or negative direction by a larger predetermined value (e.g., 1.0). The variation degree deriving unit 13 performs the above-described correction process of the inspection results for each inspection date and each inspection item.

[0061] <Derivation of the degree of variation> Next, the variability derivation unit 13 derives the variability for each inspection item based on the corrected inspection results within the judgment period, while referring to the judgment table 33. The judgment table 33 includes a quantitative measurement item judgment table 33A used to derive the variability for inspection items that are quantitatively measured, and a qualitative evaluation item judgment table 33B used to derive the variability for inspection items that are qualitatively evaluated.

[0062] As shown in Fig. 7(A), a quantitative measurement item determination table 33A is provided for each inspection item to be quantitatively measured. The upper part of Fig. 7(A) shows a quantitative measurement item determination table 33Aa for the secondary voltage of the transformer, and the lower part shows a quantitative measurement item determination table 33Ab for the load current of the transformer. The quantitative measurement item determination table 33A predetermines the correspondence between the statistical variation of the inspection results and the degree of variation. Statistical variation is an index that quantitatively represents a measure of data variation, such as variance, standard deviation, or mean difference. In this embodiment, standard deviation is used as the statistical variation, merely as an example. The units of standard deviation are the same as the units of the original data. For this reason, a quantitative measurement item determination table 33A is provided for each inspection item. The larger the statistical variation value, the greater the degree of variation.

[0063] As shown in FIG. 7B, the quantitative measurement item judgment table 33A is provided for all inspection items that are qualitatively evaluated. The qualitative evaluation item judgment table 33B predetermines the correspondence between the occurrence frequency of each stage and the degree of variation. The occurrence frequency of each stage is the ratio of the number of inspection results for each stage to the total number of inspection results within the judgment period. For example, if inspections are performed once a month and the judgment period is set to six months from the current time, the total number of inspection results within the judgment system is six. In this embodiment, three levels of inspection results for inspection items that are qualitatively evaluated are predetermined: ○, ×, and △. 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) correspond to the "occurrence frequency of each stage" described above.

[0064] If the frequency of appearance of all stages is similar, the degree of variation is large. Also, if the frequency of appearance of triangle marks is low but the frequency of appearance of circle marks and cross marks, which indicate significantly different inspection results, is equally high, the degree of variation is large. If the frequency of appearance of circle marks or cross marks is low and the frequency of appearance of the remaining marks is equally high, the degree of variation is medium. Also, if the frequency of appearance of triangle marks, which indicate that something cannot be said to be normal or abnormal, is extremely high, it is difficult to say that the reliability of the inspection results is high, and the degree of variation is medium. In situations other than those mentioned above (for example, situations where the frequency of appearance of circle marks or cross marks is extremely high), the degree of variation is small.

[0065] When performing the process of deriving the degree of variation by referring to this judgment table 33, the variability derivation unit 13 first performs statistical processing on the inspection results for each inspection item. For inspection items that are quantitatively measured, the variability derivation unit 13 calculates statistical variations (e.g., standard deviation) as statistical processing on the inspection results after correction within the judgment period. For inspection items that are qualitatively evaluated, the variability derivation unit 13 calculates the frequency of occurrence of each stage as statistical processing on the inspection results after correction within the judgment period.

[0066] Next, the variability deriving unit 13 calculates the variability of the inspection results for the inspection item based on the results of statistical processing of the inspection results, while referring to the judgment table 33 corresponding to the inspection item. For example, as shown in Figure 7(C), if the load current of transformer A is an inspection item, the standard deviation of the inspection results for the most recent six months, which is the judgment period, is calculated, and the degree of variation is found from the calculated standard deviation according to the load current judgment table 33A. In the illustrated example, the standard deviation is 1 V or less, so the degree of variation is judged to be small.

[0067] For example, as shown in Figure 7(D), if the inspection item is the presence or absence of abnormal noise from transformer A, the occurrence frequency of each stage of the inspection results over the most recent six months, which is the judgment period, is calculated, and the degree of variation is found from the calculated occurrence frequency according to qualitative evaluation item judgment table 33B. In the illustrated example, △ marks are 50%, × marks are 33%, and ○ marks are 20%. Since △ marks are in a situation where they exceed 45%, the degree of variation is judged to be medium. In this way, the degree of variation of both qualitatively evaluated inspection items and quantitatively measured inspection items is evaluated on the same scale by the variability deriving unit 13. In this embodiment, as a mere example, the degree of variation of the inspection results of each inspection item is evaluated on three levels: large, medium, and small.

[0068] <Attention Level Determination Unit> Next, the caution level determination unit 14 determines the level of caution required, which indicates the degree of caution required during inspection work, for each inspection item based on the degree of variation, while referring to the caution level determination table 36 (S6). The caution level determination table 36 predetermines the correspondence 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 required is also evaluated in the same number of stages as the degree of variation. The stages of the degree of variation are equal to the stages of the degree of caution required.

[0069] The attention level determination unit 14 determines inspection items with medium and high attention levels (in this embodiment, the degree of variation is equivalent to medium and high) as first attention levels. The first attention levels include inspection items with high attention levels and inspection items with medium attention levels. This completes the process that is performed when the variation deriving conditions are met. Hereinafter, a method for utilizing the determination results during inspection work after the inspection items requiring high attention have been determined will be described.

[0070] (Device coordination during inspection work) 8, first, an inspector who has arrived at the site operates the inspector information terminal 2 and starts up the work application 23 (S21). The display control unit 25 displays an initial input screen on the touch panel 21 of the inspector information terminal 2 (S31). Next, the inspector inputs inspection 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 (e.g., weather, temperature, humidity, etc.).

[0071] When an input operation to start work is performed, a work start signal is transmitted from the inspector information terminal 2 to the inspection work support device 1. The input inspection time information is also transmitted to the inspection work support device 1 together with the work start signal. The display control unit 25 causes the touch panel 21 to display a standby screen (S32). While the standby screen is displayed, the inspection work support device 1 performs the following processes. When the inspection work support device 1 receives a work start signal (S11), the inspection work support device 1 determines a second item requiring attention based on the inspection time information for the current inspection work (S12). The inspection work support device 1 may read out the work schedule 39 from the data server 3 to collect the inspection time information. As in the inspection result correction process described above, the inspection work support device 1 refers to the impact table 34 and the impact determination table 35 and counts the inspection time information for which the impact level is equal to or greater than the consideration value for each inspection item. If the number of inspection time information for which the impact level is equal to or greater than the consideration value is a predetermined value (e.g., 2) or more, the inspection work support device 1 determines the inspection item as a second item requiring attention. Then, the inspection work support device 1 determines the inspection time information for which the impact level is equal to or greater than the consideration value as an attention factor.

[0072] Next, the inspection work support device 1 generates first attention item information and second attention item information (S13). The first attention item information is information that identifies a first attention item (an inspection item determined to require high attention based on the degree of variability) from among a plurality of inspection items. The second attention item information is information that identifies a second attention item (an inspection item determined to be at risk of causing variability in inspection results based on the current inspection information) from among a plurality of inspection items. Furthermore, the second attention item information includes attention factor information that identifies attention factors (factors whose influence exceeds a consideration value, i.e., inspection time information) among influencing factors related to the second attention item. For example, if the inspection item for the presence or absence of abnormal noise from a transformer is an elderly inspector and it is raining, and the influence levels of age and weather are greater than or equal to the consideration value, the second attention item information includes information indicating that the presence or absence of abnormal noise from the transformer has been determined as the second attention item, and attention factor information indicating that age and weather are attention factors related to the presence or absence of abnormal noise from the transformer.

[0073] Next, the inspection work supporting 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 transitions the display of the touch panel 21 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 item (S25), determines the display mode of the second attention item (S26), and generates an attention message regarding the factors to be aware of (S27). The display control unit 25 highlights the first attention item and the second attention item on the inspection screen in accordance with the determined display mode. The display control unit 25 displays the generated attention message on the inspection screen.

[0074] As shown in FIG. 9(A), the first and second items requiring attention are highlighted, and the display mode differs between the first and second items requiring attention and the other inspection items. For example, the field indicating the items requiring attention may be filled in red or yellow. The field indicating the items requiring attention may be displayed with a bold frame. A message indicating the attention factor information for the second item requiring attention is not normally displayed, and the presence of the message may be indicated by an icon. In this case, the inspector can check the content of the message by tapping the icon on the touch panel (see FIG. 9(B)).

[0075] The inspector performs the inspection work step by step 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 on this screen to indicate that the work has been completed (S29). The work app is closed on the inspector information terminal 2 (S30).

[0076] When the input operation for completing the work is performed, a work completion signal is transmitted to the inspection work support device 1 and is received by the inspection work support device 1 (S15). The inspection results may also be transmitted to the inspection work support device 1 together with the work completion signal. The current inspection results are recorded as part of the inspection result history 31 in the data server 3, regardless of whether they are transmitted via the inspection work support device 1 or not. As a result, the variation derivation condition is met, and the degree of variation is derived again based on the inspection result history 31 for the site, and the first item requiring attention is determined again (see FIG. 4). The determination result is used during the next month's inspection work.

[0077] (Action and effect) According to the inspection work support device 1, the degree of variability in the inspection results for each inspection item is derived from the inspection result history. The variability in the inspection results may be caused by the variability in the quality of the inspection work content. Therefore, based on the derived degree of variability, it is possible to accurately extract inspection items that tend to reduce the quality of the work content and require careful attention during the work.

[0078] The variability derivation unit 13 sets a history period used to derive the variability for each inspection item. The variability derivation unit 13 derives the variability based on the inspection results within the set period. In this way, the history period (how far back the inspection results are obtained) 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 the inspection work content (e.g., deterioration over time) can be excluded from the original data used to derive the variability. This makes the variability of each inspection item highly correlated with the quality of the inspection work content. This also increases the reliability of the level of attention required determined based on the variability.

[0079] The variability derivation unit 13 performs statistical processing on the inspection results for each inspection item and derives the variability from the results of the statistical processing. Since the results of the statistical processing on the inspection results are used, the variability can be evaluated with high accuracy. At this time, the variability derivation unit 13 refers to a decision table 33 that predetermines the correspondence between the results of the statistical processing and the variability. The variability can be derived quickly and with low load.

[0080] When inspection items are quantitatively measured, the variability deriving unit 13 calculates the statistical variability of the inspection results as a statistical process for the inspection results. Since statistical arithmetic processing is performed using the quantitative inspection results, the variability can be evaluated with high accuracy. When the inspection items are evaluated qualitatively, the variability deriving unit 13 calculates the frequency of occurrence of each stage as a statistical process for the inspection results. Even when the inspection items are evaluated qualitatively, the variability can be evaluated accurately by using such frequency of occurrence.

[0081] The variability derivation unit 13 corrects the variability according to influencing factors that affect the variability of the inspection results. Focusing on the existence of influencing factors other than the quality of the inspection work content that may induce variability in the inspection results, the variability is corrected according to such influencing factors. As a result, the variability of each inspection item has a high correlation with the quality of the inspection work content, and the reliability of the level of attention required determined based on the variability is also increased.

[0082] When correcting the degree of variation, the variation derivation unit 13 corrects the inspection results according to the influencing factors for each inspection result, and derives the degree of variation based on the corrected inspection results. 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 inspection results that have been corrected in advance, the degree of variation has a high correlation with the quality of the inspection work content.

[0083] The variability derivation unit 13 may calculate the influence of the influencing factors for each inspection result and correct the variability based on the calculated influence. The degree of influence of the influencing factors on the inspection results can be quantitatively determined. Therefore, the variability can be accurately evaluated without the influence of the influencing factors. In the inspection work support system 100, the inspection work support device 1 is communicably connected to an inspector information terminal 2 carried by an inspector at the inspection work site. The inspection work support device 1 is linked to the inspector information terminal 2, and the processing results of the inspection work support device 1 can be used to facilitate the inspection work by the inspector at the site.

[0084] The inspector information terminal 2 transmits a work start signal to the inspection work support device 1 at the start of inspection work. The inspection work support device 1 transmits first attention item information indicating a first attention item determined to require a high level of attention based on the degree of variation among the multiple inspection items to the inspector information terminal 2. When displaying the multiple inspection items, the inspector information terminal 2 differentiates the display mode between the first attention item and the other inspection items. This allows the inspector to easily understand the inspection items that require particular attention from the display of the multiple inspection items, and encourages them to pay attention to the first attention item that requires a high level of attention. This makes it possible to support the assurance of quality in the inspection work content of the first attention item.

[0085] When a work start signal is output, the inspection work support device 1 calculates, for each inspection item, the degree of influence of an influencing factor that will affect the inspection result if the inspection work is performed. The inspection work support device 1 transmits second attention item information indicating a second attention item that has been determined to require a high level of attention based on the calculated degree of influence from among the multiple inspection items to the inspector information terminal 2. When displaying the multiple inspection items, the inspector information terminal 2 displays the second attention item in a display mode different from that of the other inspection items.

[0086] In this way, the inspection work support device 1 not only presents to the inspector information terminal 2 first items requiring attention that are likely to result in a decline in the quality of the inspection results based on the inspection result history 31 up to now, but also determines whether there are any second items requiring attention. A second item requiring attention is an inspection item that may be affected by an influencing factor in the current inspection work, and is an inspection item where the presence of an influencing factor may cause the inspection results to deviate from the average level. From the display of multiple inspection items, the inspector can easily understand such inspection items and is urged to pay attention to the second items requiring attention. This makes it possible to prevent the inspection results of the second items requiring attention from deviating from the average level.

[0087] The second item requiring attention information includes attention factor information indicating attention factors, which are influencing factors that show a high numerical value for influence. When displaying multiple inspection items, the inspector information terminal 2 displays attention factor information for the second item requiring attention. In this way, when the inspection work support device 1 presents to the inspector information terminal 2 which inspection items may be affected by influencing factors, it also presents which of the influencing factors has a high degree of impact on the inspection results. This allows the inspector to easily understand how to pay attention to the second item requiring attention.

[0088] (Variation) The embodiments of the present invention have been described above, but the above configurations can be appropriately modified, added, and / or deleted within the scope of the present invention. (A) As the number of inspections increases after the introduction of this inspection work support system 100, the number of inspection results obtained under circumstances in which the second attention item information is presented and a warning is issued increases. In the above embodiment, for such inspection results, the inspection items have a large amount of inspection time information whose impact level is equal to or greater than the consideration value, so the inspection results are corrected.

[0089] In contrast, the inspection results obtained under the circumstances in which the second attention item information was presented may not be corrected, or may be made less likely to be corrected by raising the threshold number of pieces of inspection time information that determines whether or not correction is necessary (for example, changing it from 3 (see FIG. 6(A)) to 5). This makes it possible to prevent the inspection results from being over-corrected by influencing factors, even though there is a high probability that attention was paid due to the presentation of the second attention item information.

[0090] (B) In the above embodiment, the inspection items to be qualitatively evaluated are all evaluated on a three-level scale, but the number of levels may differ depending on the inspection item. In the above embodiment, the inspection items that were qualitatively evaluated were unified into a three-level evaluation, so the judgment table 33B was also standardized, but if the number of levels differs depending on the inspection item, the qualitative evaluation item judgment table 33B may also be set separately depending on the number of levels.

[0091] (C) In the above embodiment, private high-voltage power receiving equipment was the subject of inspection, but the subject of inspection may also be private electrical equipment other than high-voltage power receiving equipment, business electrical equipment, or equipment other than electrical equipment such as elevators. [Explanation of symbols]

[0092] 100 Inspection work support system 1. Inspection work support device 2. Inspector information terminal 3 Data Server 9 Inspection slip 10 Storage section 11 Communications Department 12 Data Acquisition Section 13 Variability calculation section 14 Attention Level Determination Unit 21 Touch Panel 22 Communications Department 23 Inspection App 24 Display item storage section 25 Display control unit 31 Inspection result history 32 Judgment period setting table 33 Decision Table 34 Impact Table 35 Impact Judgment Table 36 Attention Level Judgment Table 39 Inspection Work Schedule

Claims

1. an inspection work support device comprising: an inspection history acquisition unit that acquires a history of inspection results for a plurality of inspection items; a variability derivation unit that derives a degree of variability indicating the degree of variability in the inspection results for each of the inspection items from the history acquired by the inspection history acquisition unit; and an attention level determination unit that determines a level of caution indicating the degree of caution required during inspection work for each of the inspection items based on the degree of variability derived by the variability derivation unit; an inspector information terminal communicably connected to the inspection work support device and carried by an inspector at the inspection work site; Equipped with the inspection work support device transmits to the inspector information terminal first caution item information indicating a first caution item determined to have a high level of caution based on the degree of variation among the plurality of inspection items; the inspector information terminal transmits a work start signal to the inspection work support device at the start of the inspection work, and when displaying the plurality of inspection items, differentiates the display mode between the first caution item and the other inspection items; Inspection work support system.

2. The variation degree derivation unit a period of the history used to derive the degree of variation is set for each of the inspection items; deriving the degree of variation based on the inspection results within the set period; The inspection work support system according to claim 1 .

3. The variation degree derivation unit Statistical processing is performed on the inspection results for each of the inspection items; deriving the degree of variation from the result of the statistical processing; 3. The inspection work support system according to claim 1 or 2.

4. the variation degree derivation unit derives the variation degree from the result of the statistical processing by referring to a determination table in which a correspondence relationship between the result of the statistical processing and the variation degree is predetermined. The inspection work support system according to claim 3.

5. When the inspection items are measured quantitatively and the measured values ​​are the inspection results, The variation degree derivation unit As the statistical processing of the inspection results, a statistical variance of the inspection results is calculated; deriving the degree of variation from the calculated statistical variation; 5. The inspection work support system according to claim 3 or 4.

6. When the inspection items are qualitatively evaluated and one of a plurality of predetermined stages is selected as the inspection result, The variation degree derivation unit As the statistical processing of the inspection results, the frequency of occurrence of each stage is calculated, deriving the degree of variation from the calculated occurrence frequency; 5. The inspection work support system according to claim 3 or 4.

7. The variation degree derivation unit corrects the variation degree according to an influencing factor that affects the variation of the inspection result. The inspection work support system according to any one of claims 1 to 6.

8. The influencing factors include at least one of human factors related to the qualifications of inspectors, instrument factors related to instruments required for the inspection work, and environmental factors related to the environment of the site where the inspection work is performed. The inspection work support system according to claim 7.

9. When correcting the degree of variation, the degree of variation deriving unit For each of the inspection results, correcting the inspection results according to the influencing factors; deriving the degree of variation based on the corrected inspection result; 9. The inspection work support system according to claim 7 or 8.

10. The variation degree derivation unit Calculating the influence of the influencing factors for each of the inspection results; correcting the degree of variation based on the calculated degree of influence; The inspection work support system according to any one of claims 7 to 9.

11. When the work start signal is output, the inspection work support device For each inspection item, calculate the degree of influence of an influencing factor that affects the variability of the inspection results when the inspection work is performed; transmits, to the inspector information terminal, second caution item information indicating a second caution item determined to require high attention based on the calculated impact degree among the plurality of inspection items; When displaying the plurality of inspection items, the inspector information terminal differentiates a display mode between the second attention item and the inspection items other than the first attention item and the second attention item. The inspection work support system according to claim 10.

12. The second attention-requiring item information includes attention factor information indicating an attention factor that is the influencing factor showing a high numerical value of the influence degree, The inspector information terminal displays the attention factor information of the second attention item when displaying the plurality of inspection items. The inspection work support system according to claim 11.

13. Obtaining a history of inspection results for a plurality of inspection items; deriving a degree of variation indicating a degree of variation in the inspection results for each inspection item from the acquired history; determining a level of caution that indicates a degree of caution that is required during inspection work for each of the inspection items based on the derived degree of variation; transmitting first attention item information indicating a first attention item determined to have a high level of attention based on the degree of variation among the plurality of inspection items to an inspector information terminal carried by the inspector at the site of the inspection work; When displaying the plurality of inspection items on the inspector information terminal, the first caution item and the other inspection items are displayed in different display modes; An inspection work support method executed by a computer, comprising:

14. A method for supporting inspection work according to claim 13, Inspection work support program.

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