Deterioration diagnosis system, deterioration diagnosis method, and deterioration diagnosis program

Abstract

To obtain a deterioration diagnosis system capable of relatively evaluating degrees of deterioration of a plurality of facility instruments.SOLUTION: A deterioration diagnosis system 100 comprises a measurement data acquisition part 101 that acquires measurement data measured for each of a plurality of facility instruments 200 to be diagnosed, a diagnosis data acquisition part 102 that acquires diagnosis data including specification information of the plurality of facility instruments 200, a deterioration diagnosis part 112 that diagnoses degrees of deterioration of the plurality of facility instruments 200 on the basis of the measurement data and the diagnosis data, a relative evaluation part 113 that evaluates relative degrees of deterioration of the plurality of facility instruments 200 by ranking the degrees of deterioration of the plurality of facility instruments 200, a diagnosis report generation part 106 that generates a diagnosis report including the relative degrees of deterioration of the plurality of facility instruments 200, and a diagnosis report output part 107 that outputs the diagnosis report.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a degradation diagnosis system, a degradation diagnosis method, and a degradation diagnosis program that can obtain a diagnosis result that indicates the relative degree of degradation among a plurality of devices to be diagnosed. [Background technology]

[0002] Conventionally, industrial facilities such as plants, including water treatment facilities, and factories, use a variety of equipment, including motors, pumps, and processing machines. When operating industrial facilities such as plants and factories, it is necessary to periodically inspect the equipment within the facility and replace any deteriorated equipment so as not to interfere with the operation of the facility.

[0003] Patent Document 1 discloses a degradation diagnosis system that diagnoses the degree of degradation of equipment based on information obtained from a plurality of equipment. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2009-215010 Summary of the Invention [Problem to be solved by the invention]

[0005] Not all equipment used in industrial facilities deteriorates uniformly, and the degree of deterioration of each piece of equipment varies. For example, the degree of deterioration differs between operational equipment that is used primarily and backup equipment that is used only when the operational system is stopped. Generally, operational equipment that is used more frequently deteriorates in a shorter period of time, but backup equipment that is used less frequently may also deteriorate in a shorter period of time due to factors such as lack of oil in the sliding parts.

[0006] If all equipment in an industrial facility were to be replaced at once, it would require the entire facility to be shut down, and replacing equipment with a low degree of deterioration would increase costs. For this reason, it is necessary to evaluate the relative deterioration levels of multiple pieces of equipment and prioritize replacement of equipment with a high degree of deterioration.

[0007] The deterioration diagnosis system disclosed in Patent Document 1 above cannot relatively evaluate the degree of deterioration of multiple pieces of equipment, so even when users refer to the diagnosis results, they cannot easily determine which piece of equipment needs to be replaced first.

[0008] The present disclosure has been made in view of the above, and aims to provide a degradation diagnosis system that can relatively evaluate the degree of degradation of a plurality of facility devices. [Means for solving the problem]

[0009] In order to solve the above-mentioned problems and achieve the object, a degradation diagnosis system according to the present disclosure includes a measurement data acquisition unit that acquires measurement data measured on each of a plurality of equipment devices to be diagnosed, a diagnostic data acquisition unit that acquires diagnostic data including specification information of the plurality of equipment devices, a degradation diagnosis unit that diagnoses the degree of deterioration of the plurality of equipment devices based on the measurement data and the diagnostic data, and a relative evaluation unit that evaluates the relative degree of deterioration of the plurality of equipment devices by ranking the degrees of deterioration of the plurality of equipment devices. The degradation diagnosis system also includes a diagnostic report generation unit that generates a diagnostic report including the relative degrees of deterioration of the plurality of equipment devices, and a diagnostic report output unit that outputs the diagnostic report. [Effects of the Invention]

[0010] According to the present disclosure, it is possible to obtain an effect of obtaining a degradation diagnosis system that can relatively evaluate the degree of degradation of a plurality of facility devices. [Brief explanation of the drawings]

[0011] [Figure 1]FIG. 1 is a diagram showing the configuration of a degradation diagnosis system according to a first embodiment; [Figure 2] FIG. 1 is a diagram showing an example of diagnostic data acquired by a diagnostic data acquisition unit of the degradation diagnostic system according to the first embodiment; [Figure 3] FIG. 1 is a diagram showing an example of determining the degree of deterioration based on the sum of the values ​​of two independent parameters in the deterioration diagnosis system according to the first embodiment. [Figure 4] FIG. 1 is a diagram showing an example of determining the degree of deterioration based on the values ​​of two correlated parameters in the deterioration diagnosis system according to the first embodiment; [Figure 5] FIG. 10 is a diagram showing an example of a diagnostic report output by the degradation diagnostic system according to the first embodiment; [Figure 6] 1 is a flowchart showing the flow of operations of the degradation diagnosis system according to the first embodiment. [Figure 7] FIG. 10 is a diagram showing the configuration of a degradation diagnosis system according to a second embodiment. [Figure 8] FIG. 10 is a diagram showing the configuration of a degradation diagnosis system according to a third embodiment. [Figure 9] FIG. 1 is a diagram showing an example of a hardware configuration that realizes a processing unit included in a degradation diagnosis system according to the first, second, or third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A degradation diagnosis system, a degradation diagnosis method, and a degradation diagnosis program according to embodiments will be described in detail below with reference to the accompanying drawings.

[0013] Embodiment 1 1 is a diagram showing the configuration of a degradation diagnosis system according to embodiment 1. Degradation diagnosis system 100 is connected to a measurement data storage device 300 that stores measurement data measured on multiple facility devices 200 that are to be diagnosed, and to a user terminal 400 that is the output destination of a diagnostic report that indicates the relative degrees of degradation of the multiple facility devices 200. Degradation diagnosis system 100 may be configured by a single information processing device, or may be configured by multiple information processing devices that are connected so as to be able to communicate with each other via a network such as the Internet.

[0014] The degradation diagnosis system 100 includes a measurement data acquisition unit 101, a diagnosis data acquisition unit 102, a processing unit 160, a format data storage unit 104, a format data acquisition unit 105, and a diagnostic report output unit 107. The processing unit 160 includes a relative evaluation degradation diagnosis unit 103, a data processing unit 111, a degradation diagnosis unit 112, a relative evaluation unit 113, and a diagnostic report generation unit 106.

[0015] The measurement data acquisition unit 101 acquires measurement data measured on each of the multiple equipment devices 200 to be diagnosed from the measurement data storage device 300. The measurement data is data of measurement values ​​for at least one measurement content of the equipment device 200 to be diagnosed. FIG. 2 is a diagram showing an example of diagnostic data acquired by the diagnostic data acquisition unit of the degradation diagnosis system according to the first embodiment. For example, if four measurement points are provided for each equipment device 200 to be diagnosed and vibration data for each of the X, Y, and Z axes is measured, the equipment device 200 to be diagnosed will have 12 measurement contents. In the example shown in FIG. 2, the measurement data is vibration data for each of the X, Y, and Z axes measured at four measurement points provided for the equipment device 200 to be diagnosed. That is, the measurement data includes X1, Y1, Z1 which are vibration data for each of the X, Y, and Z axes at measurement point 1, X2, Y2, Z2 which are vibration data for each of the X, Y, and Z axes at measurement point 2, X3, Y3, Z3 which are vibration data for each of the X, Y, and Z axes at measurement point 3, and X4, Y4, Z4 which are vibration data for each of the X, Y, and Z axes at measurement point 4. The measurement data storage device 300 may store the measurement values ​​as comma-separated data or in database format.

[0016] In the first embodiment, an example is given of a configuration in which the measuring device 210 is connected to the equipment 200 to be diagnosed and measurement data is acquired, but the measurement data may also be measured by a sensor permanently installed in the equipment 200 to be diagnosed.

[0017] The diagnostic data acquisition unit 102 acquires diagnostic data including specification information of multiple facility devices 200. The diagnostic data is parameters required for performing degradation diagnosis and individual data required for creating a diagnostic report. Examples of parameters that constitute diagnostic data include specification information of the facility devices 200, such as the device rotation frequency, power supply frequency, and number of impeller blades, as well as data required for preprocessing measurement data, such as a window function for frequency analysis, and operating condition parameters required for a degradation diagnosis algorithm. Examples of individual data required for creating a diagnostic report include information that differs for each project, such as the title of the diagnostic report and the name of the client to whom the diagnostic report will be submitted. In the first embodiment, an example is given in which the diagnostic data acquisition unit 102 acquires diagnostic data from the user terminal 400. However, the diagnostic data may be stored in an information processing device other than the user terminal 400, and the diagnostic data acquisition unit 102 may acquire the diagnostic data from the information processing device in which the diagnostic data is stored.

[0018] The data processing unit 111 processes the measurement data by performing preprocessing required for performing degradation diagnosis. For example, in the case of frequency analysis, the data processing unit 111 uses a window function included in the diagnosis data to extract a portion of the measurement data that is the target of frequency analysis. For example, when data in the range of times 0.0010, 0.0015, and 0.0020 of the measurement data shown in FIG. 2 is to be subjected to frequency analysis, the data processing unit 111 uses the window function included in the diagnosis data to extract data in the range indicated by the dashed line in FIG. 2.

[0019] The degradation diagnosis unit 112 performs degradation diagnosis based on the measurement data and the diagnosis data using an existing degradation diagnosis algorithm. Examples of the existing degradation diagnosis algorithm used by the degradation diagnosis unit 112 include an algorithm that outputs a value of the degree of degradation and an algorithm that determines the magnitude of the degree of degradation of two equipment devices 200 to be diagnosed. If the degradation diagnosis algorithm used by the degradation diagnosis unit 112 is an algorithm that outputs a value of the degree of degradation, the degradation diagnosis unit 112 outputs information on the value of the degree of degradation of each of the multiple equipment devices 200 to be diagnosed. Furthermore, if the degradation diagnosis algorithm used by the degradation diagnosis unit 112 is an algorithm that determines the magnitude of the degree of degradation of two equipment devices 200 to be diagnosed, the degradation diagnosis unit 112 outputs information indicating the relative magnitude relationship between the degrees of degradation of the two equipment devices 200 to be diagnosed.

[0020] Here, an example will be described of the operation when the deterioration diagnosis unit 112 uses an algorithm to determine the magnitude of the degree of deterioration of two equipment devices 200 to be diagnosed. When one parameter is used for deterioration diagnosis, the deterioration diagnosis unit 112 can identify the relative magnitude relationship between the degrees of deterioration of the two equipment devices 200 by comparing the values ​​of the degrees of deterioration.

[0021] On the other hand, when two parameters are used in the deterioration diagnosis, the deterioration diagnosis unit 112 specifies the relative magnitude relationship between the degrees of deterioration of the two pieces of equipment 200 by setting a plane coordinate system with the two parameters as axis components. FIG. 3 is a diagram showing an example of determining the degree of deterioration based on the sum of the values ​​of two independent parameters in the deterioration diagnosis system according to the first embodiment. Here, two independent parameters mean that a change in the value of one parameter does not affect the value of the other parameter. In the example shown in FIG. 3, the horizontal axis indicates the peak of the rotational frequency, and the vertical axis indicates the peak of the second harmonic of the rotational frequency, and these are in a relationship where a change in the value of one parameter does not affect the value of the other parameter.

[0022] In a plane coordinate system with two independent parameters as axis components, the degree of deterioration is expressed by the distance d1 from the origin. Therefore, when determining the degree of deterioration based on the sum of the values ​​of two independent parameters, points on an arc centered at the origin have the same degree of deterioration.

[0023] Therefore, when the degradation diagnosis algorithm used by the degradation diagnosis unit 112 is an algorithm that outputs a value of the degree of degradation, the degradation diagnosis unit 112 outputs a value indicating the distance from the origin in a plane coordinate system with two parameters as axis components. On the other hand, when the degradation diagnosis algorithm used by the degradation diagnosis unit 112 is an algorithm that determines the magnitude of the degree of degradation of two equipment devices 200 to be diagnosed, the degradation diagnosis unit 112 determines the magnitude of the degree of degradation by comparing the distance from the origin in a plane coordinate system with two parameters as axis components, and outputs information indicating the relative magnitude relationship between the degrees of degradation of the two equipment devices 200 to be diagnosed.

[0024] Fig. 4 is a diagram showing an example of determining the degree of deterioration based on the values ​​of two correlated parameters in the deterioration diagnosis system according to embodiment 1. Here, the two correlated parameters mean that a change in the value of one parameter affects the value of the other parameter. In the example shown in Fig. 4, the horizontal axis indicates the peak of the inner ring damage frequency, and the vertical axis indicates the peak of the inner ring damage frequency after envelope processing, and these are in a relationship where a change in the value of one parameter affects the value of the other parameter.

[0025] In a plane coordinate system having two correlated parameters as axis components, a set of values ​​having the same degree of deterioration is represented by a hyperbola. Therefore, when determining the degree of deterioration based on the values ​​of two correlated parameters, the deterioration diagnosis unit 112 outputs a value indicating the distance d2 from the hyperbola, which is a set of boundary values ​​between normality and abnormality, as a value indicating the magnitude of the degree of deterioration. On the other hand, when the deterioration diagnosis algorithm used by the deterioration diagnosis unit 112 is an algorithm for determining the magnitude of the degrees of deterioration of two equipment devices 200 to be diagnosed, the deterioration diagnosis unit 112 determines the magnitude of the degrees of deterioration by comparing the distances from the hyperbola, which is the boundary between normality and abnormality, in a plane coordinate system having two correlated parameters as axis components, and outputs information indicating the relative magnitude relationship between the degrees of deterioration of the two equipment devices 200 to be diagnosed.

[0026] Here, an example has been given in which the degree of deterioration is determined based on the values ​​of two parameters. However, when determining the degree of deterioration based on the values ​​of three or more parameters, in a multidimensional coordinate system in which three or more parameters are coordinate components, the degree of deterioration can be determined based on the distance from the origin as in the above example, or based on the distance from the boundary between normal and abnormal.

[0027] The relative evaluation unit 113 ranks the degrees of deterioration of all of the equipment devices 200 to be diagnosed based on the information output by the deterioration diagnosis unit 112.

[0028] Here, the operation of the relative evaluation unit 113 will be described using an example in which there are four equipment devices 200 to be diagnosed, and identifiers A, B, C, and D are assigned to each of the equipment devices 200. First, the processing in the relative evaluation unit 113 will be described in the case in which the degradation diagnosis algorithm used by the degradation diagnosis unit 112 is an algorithm that outputs values ​​of the degree of deterioration. The relative evaluation unit 113 ranks the degrees of deterioration of the four equipment devices 200 to be diagnosed by sorting the values ​​of the degrees of deterioration of the four equipment devices 200 output by the degradation diagnosis unit 112 in descending order. For example, suppose that the degree of deterioration of the equipment device 200 with identifier A is 68, the degree of deterioration of the equipment device 200 with identifier B is 46, the degree of deterioration of the equipment device 200 with identifier C is 79, and the degree of deterioration of the equipment device 200 with identifier D is 55. Here, if the degree of deterioration of the equipment 200 with identifier A is greater than the degree of deterioration of the equipment 200 with identifier B, and this is represented as "A>B", the relative evaluation unit 113 ranks the degrees of deterioration of the four equipment devices 200 as "C>A>D>B".

[0029] Next, the processing in the relative evaluation unit 113 when the deterioration diagnosis algorithm used by the deterioration diagnosis unit 112 is an algorithm for determining the degree of deterioration of two pieces of equipment 200 to be diagnosed will be described. In the deterioration diagnosis unit 112, for four pieces of equipment 200 with identifiers A to D, the degree of deterioration between two pieces of equipment 200 is determined. When selecting two out of the four pieces of equipment 200, there are 4C2 = 6 combinations. Represented by identifiers, the combinations of selecting two out of the four pieces of equipment 200 are AB, AC, AD, BC, BD, and CD, a total of 6 combinations. Therefore, the deterioration diagnosis unit 112 outputs the determination results of the degree of deterioration for 6 combinations of equipment 200. Similar to the above example, if the degree of deterioration of the equipment 200 with identifier A is greater than that of the equipment 200 with identifier B, it is represented as "A>B", then the deterioration diagnosis unit 112 outputs deterioration diagnosis results such as "A>B", "A>C", "A<D", "B>C", "B<D", and "C<D". The relative evaluation unit 113 ranks the degrees of deterioration of the four pieces of equipment 200 based on the determination results of the degree of deterioration for 6 combinations of equipment 200. In the above example, the relative evaluation unit 113 ranks the degrees of deterioration of the four pieces of equipment 200 as "D>A>B>C" based on the determination results of the degree of deterioration for 6 combinations of equipment 200.

[0030] The format data acquisition unit 105 acquires the format data stored in the format data storage unit 104. The format data is data that serves as a template for the diagnosis report.

[0031] [[ID=|7]] The diagnosis report generation unit 106 generates a diagnosis report including the ranking of the degrees of deterioration of a plurality of pieces of equipment 200 to be diagnosed by fitting the relative degrees of deterioration of the plurality of pieces of equipment 200 to be diagnosed and the individual data included in the diagnosis data to the format data which is the template.

[0032] [[ID= |11]] Fig. 5 is a diagram showing an example of a diagnostic report output by the degradation diagnostic system according to Embodiment 1. In the example shown in Fig. 5, diagnostic report 150 includes objects such as a graph display field 151 that displays a graph indicating the relative degrees of deterioration of a plurality of facility devices 200 that are diagnostic targets, and a findings display field 152 that displays findings related to the relative degrees of deterioration of a plurality of facility devices 200 that are diagnostic targets, which are arranged at positions determined by format data that is a template.

[0033] The diagnostic report output unit 107 outputs the data of the diagnostic report 150 to the user terminal 400 .

[0034] 6 is a flowchart showing the flow of operations of the degradation diagnosis system according to Embodiment 1. Degradation diagnosis system 100 may start operation in response to a request from user terminal 400, may start operation at a preset time, or may start operation when a preset time has elapsed since the previous operation was performed.

[0035] In step S1, the diagnostic data acquisition unit 102 acquires diagnostic data from the user terminal 400. In step S2, the measurement data acquisition unit 101 acquires measurement data stored in the measurement data storage device 300. When only some of the multiple equipment devices 200 are to be diagnosed, the measurement data acquisition unit 101 acquires only the measurement data related to the equipment devices 200 to be diagnosed from the measurement data storage device 300.

[0036] In step S3, the data processing unit 111 performs preprocessing on the measurement data to generate preprocessed measurement data. Note that if there is no need to process the measurement data when performing degradation diagnosis based on the measurement data, step S3 is skipped. In step S4, the degradation diagnosis unit 112 performs degradation diagnosis based on the measurement data using an existing degradation diagnosis algorithm, and diagnoses the degree of degradation of multiple equipment devices 200 to be diagnosed. In step S5, the relative evaluation unit 113 ranks the degree of degradation of all equipment devices 200 to be diagnosed.

[0037] In step S6, the diagnostic report generation unit 106 applies the relative degrees of deterioration of the multiple equipment devices 200 to be diagnosed and the individual data included in the diagnostic data to a template of format data, and generates a diagnostic report including a ranking of the degrees of deterioration of the multiple equipment devices 200 to be diagnosed. In step S7, the diagnostic report output unit 107 outputs the diagnostic report 150 to the user terminal 400.

[0038] The deterioration diagnosis system 100 according to the first embodiment outputs the diagnosis report 150 including the ranking of the degree of deterioration of the plurality of equipment pieces 200 to be diagnosed, and therefore, a user who refers to the diagnosis report 150 can easily determine which equipment piece 200 needs to be replaced as a priority.

[0039] Embodiment 2 FIG. 7 is a diagram showing the configuration of a degradation diagnosis system according to the second embodiment. The degradation diagnosis system 100 according to the second embodiment includes a measurement data storage unit 108. Furthermore, a data processing unit 111 is provided separately from the relative evaluation degradation diagnosis unit 103. The measurement data storage unit 108 stores measurement data that has been preprocessed by the data processing unit 111. For example, when the degradation diagnosis unit 112 determines the degree of degradation based on the frequency analysis result after removing noise, the data processing unit 111 performs filtering processing and frequency analysis processing on the measurement data, and stores the data that has undergone these processes in the measurement data storage unit 108. The measurement data acquisition unit 101 acquires the preprocessed measurement data from the measurement data storage unit 108 and outputs it to the relative evaluation degradation diagnosis unit 103.

[0040] The degradation diagnosis system 100 according to the second embodiment stores preprocessed measurement data required for performing degradation diagnosis in the measurement data storage unit 108, and therefore can reduce the processing load on the relative evaluation degradation diagnosis unit 103 compared to when unprocessed measurement data is input to the relative evaluation degradation diagnosis unit 103. Therefore, compared to the degradation diagnosis system 100 according to the first embodiment, it is possible to reduce the cost of the relative evaluation degradation diagnosis unit 103 and speed up the degradation diagnosis processing.

[0041] Embodiment 3 Fig. 8 is a diagram showing the configuration of a degradation diagnosis system according to embodiment 3. Degradation diagnosis system 100 according to embodiment 3 differs from degradation diagnosis system 100 according to embodiment 1 in that it includes layout information acquisition unit 109. Layout information acquisition unit 109 acquires, from user terminal 400, layout information that specifies whether or not to display objects in diagnostic report 150 and their placement positions. For example, in the example shown in Fig. 5, the layout is such that finding display column 152 is placed below graph display column 151, but the layout information includes information that specifies whether or not to display objects and their placement positions, such as hiding graph display column 151 or placing finding display column 152 above graph display column 151.

[0042] The format data acquisition unit 105 updates the format data acquired from the format data storage unit 104 based on the layout information and outputs the updated format data to the diagnostic report generation unit 106. The diagnostic report generation unit 106 generates the diagnostic report 150 using the format data updated based on the layout information.

[0043] The degradation diagnostic system 100 according to the third embodiment generates a diagnostic report using format data updated based on layout information acquired from the user terminal 400 to which the diagnostic report 150 is output, and therefore can output the diagnostic report 150 in which only objects containing information required by the user are arranged in positions that suit the user's preferences. Therefore, the user can refer to the diagnostic report 150 that contains only the information required to determine the priority of replacement and decide which equipment devices 200 should be replaced with priority.

[0044] Next, a description will be given of the hardware configuration of the processing unit 160. Fig. 9 is a diagram showing an example of a hardware configuration realizing the processing unit provided in the degradation diagnosis system according to embodiment 1, embodiment 2 or embodiment 3. The processing unit 160 is realized as a computer system by a processing circuit including a processor 91 that executes various processes, a memory 92 that is a main memory, and a storage device 93 that stores information.

[0045] The processor 91 may be a computing means such as an arithmetic unit, a microprocessor, a microcomputer, a CPU (Central Processing Unit), or a DSP (Digital Signal Processor). The memory 92 may be a non-volatile or volatile semiconductor memory such as a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, an EPROM (Erasable Programmable Read Only Memory), or an EEPROM (Electrically Erasable Programmable Read Only Memory). The storage device 93 stores programs for executing the processes of degradation diagnosis, relative evaluation, and generation of the diagnostic report 150. The processor 91 reads the programs stored in the storage device 93 into the memory 92 and executes them. The processor 91 reads the programs stored in the storage device 93 into the memory 92 and executes them, thereby realizing the functions of the processing unit 160.

[0046] The configurations shown in the above embodiments are merely examples of the content, and may be combined with other known technologies, or parts of the configurations may be omitted or modified without departing from the spirit of the invention.

[0047] Various aspects of the present disclosure are summarized below as appendices.

[0048] (Appendix 1) a measurement data acquisition unit that acquires measurement data measured in each of a plurality of equipment devices to be diagnosed; a diagnostic data acquisition unit that acquires diagnostic data including information on the specifications of the plurality of facility devices; a deterioration diagnosis unit that diagnoses the degree of deterioration of the plurality of facility devices based on the measurement data and the diagnosis data; a relative evaluation unit that evaluates the relative degrees of deterioration of the plurality of facility devices by ranking the degrees of deterioration of the plurality of facility devices; a diagnostic report generation unit that generates a diagnostic report including the relative degrees of deterioration of the plurality of facility devices; A degradation diagnosis system comprising a diagnostic report output unit that outputs the diagnostic report. (Appendix 2) a data processing unit that performs preprocessing on the measurement data, which is necessary for the degradation diagnosis unit to perform degradation diagnosis based on the measurement data; 2. A degradation diagnosis system according to claim 1, wherein the degradation diagnosis unit uses the preprocessed measurement data to diagnose the degree of degradation of the plurality of facility devices. (Appendix 3) a data processing unit that performs preprocessing on the measurement data, which is necessary for the degradation diagnosis unit to perform degradation diagnosis based on the measurement data; a measurement data storage unit that stores the preprocessed measurement data, the measurement data acquisition unit acquires the preprocessed measurement data from the measurement data storage unit; 2. A degradation diagnosis system according to claim 1, wherein the degradation diagnosis unit uses the preprocessed measurement data to diagnose the degree of degradation of the plurality of facility devices. (Appendix 4) a layout information acquisition unit that acquires layout information indicating an arrangement of objects in the diagnostic report; 4. A degradation diagnosis system according to claim 1, wherein the diagnostic report generation unit generates the diagnostic report by arranging the objects based on the layout information. (Appendix 5) the deterioration diagnosis unit outputs a value of a degree of deterioration of each of the plurality of facility devices, 5. The deterioration diagnosis system according to claim 1, wherein the relative evaluation unit ranks the degrees of deterioration of the plurality of facility devices by sorting the values ​​of the degrees of deterioration of each of the plurality of facility devices. (Appendix 6) the deterioration diagnosis unit determines the magnitude of the degree of deterioration for all combinations of two of the plurality of facility devices, 5. The deterioration diagnosis system according to claim 1, wherein the relative evaluation unit ranks the degrees of deterioration of the plurality of equipment based on a determination of the magnitude of the degrees of deterioration in a combination of two of the plurality of equipment. [Explanation of symbols]

[0049] 91 processor, 92 memory, 93 storage device, 100 deterioration diagnosis system, 101 measurement data acquisition unit, 102 diagnosis data acquisition unit, 103 relative evaluation deterioration diagnosis unit, 104 format data storage unit, 105 format data acquisition unit, 106 diagnosis report generation unit, 107 diagnosis report output unit, 108 measurement data storage unit, 109 layout information acquisition unit, 111 data processing unit, 112 deterioration diagnosis unit, 113 relative evaluation unit, 150 diagnosis report, 151 graph display field, 152 findings display field, 160 processing unit, 200 facility equipment, 210 measurement device, 300 measurement data storage device, 400 user terminal.

Claims

1. a measurement data acquisition unit that acquires measurement data measured in each of a plurality of equipment devices to be diagnosed; a diagnostic data acquisition unit that acquires diagnostic data including information on the specifications of the plurality of facility devices; a deterioration diagnosis unit that diagnoses the degree of deterioration of the plurality of facility devices based on the measurement data and the diagnosis data; a relative evaluation unit that evaluates the relative degrees of deterioration of the plurality of facility devices by ranking the degrees of deterioration of the plurality of facility devices; a diagnostic report generation unit that generates a diagnostic report including the relative degrees of deterioration of the plurality of facility devices; A degradation diagnosis system comprising a diagnostic report output unit that outputs the diagnostic report.

2. a data processing unit that performs preprocessing on the measurement data, which is necessary for the degradation diagnosis unit to perform degradation diagnosis based on the measurement data; 2. The degradation diagnosis system according to claim 1, wherein the degradation diagnosis unit uses the preprocessed measurement data to diagnose the degree of degradation of the plurality of facility devices.

3. a data processing unit that performs preprocessing on the measurement data, which is necessary for the degradation diagnosis unit to perform degradation diagnosis based on the measurement data; a measurement data storage unit that stores the preprocessed measurement data, the measurement data acquisition unit acquires the preprocessed measurement data from the measurement data storage unit; 2. The degradation diagnosis system according to claim 1, wherein the degradation diagnosis unit uses the preprocessed measurement data to diagnose the degree of degradation of the plurality of facility devices.

4. a layout information acquisition unit that acquires layout information indicating an arrangement of objects in the diagnostic report; 2. The degradation diagnosis system according to claim 1, wherein the diagnostic report generation unit generates the diagnostic report by arranging the objects based on the layout information.

5. the deterioration diagnosis unit outputs a value of a degree of deterioration of each of the plurality of facility devices, 5. The deterioration diagnosis system according to claim 1, wherein the relative evaluation unit ranks the degrees of deterioration of the plurality of equipment by sorting the values ​​of the degrees of deterioration of each of the plurality of equipment.

6. the deterioration diagnosis unit determines the magnitude of the degree of deterioration for all combinations of two of the plurality of facility devices, 5. The deterioration diagnosis system according to claim 1, wherein the relative evaluation unit ranks the degrees of deterioration of the plurality of equipment based on a determination of the magnitude of the degrees of deterioration in a combination of two of the plurality of equipment.

7. acquiring measurement data measured in each of a plurality of equipment devices to be diagnosed; acquiring diagnostic data including specification information of the plurality of equipment devices; diagnosing the degree of deterioration of the plurality of facility devices based on the measurement data and the diagnosis data; evaluating a relative degree of deterioration of the plurality of equipment by ranking the degrees of deterioration of the plurality of equipment; generating a diagnostic report including relative degrees of deterioration of the plurality of equipment; A deterioration diagnosis method comprising the step of outputting the diagnosis report.

8. acquiring measurement data measured in each of a plurality of equipment devices to be diagnosed; acquiring diagnostic data including specification information of the plurality of equipment devices; diagnosing the degree of deterioration of the plurality of facility devices based on the measurement data and the diagnosis data; evaluating a relative degree of deterioration of the plurality of equipment by ranking the degrees of deterioration of the plurality of equipment; generating a diagnostic report including relative degrees of deterioration of the plurality of equipment; and outputting the diagnostic report.

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