Facility management system and facility management program

Abstract

To provide a facility management system and program that obtains answers according to the questioner's intentions. [Solution] The equipment management system 100 comprises a dynamic data analysis means (vibration analysis and diagnosis system 1) that collects and analyzes sensor output data from multiple equipment devices operating in a factory or plant and outputs it as visualized information, a display means (smart dashboard 3) that includes a dashboard screen in its display area that displays a list of information output by the dynamic data analysis means, a static data storage unit that accumulates user-registered data consisting only of documents, images, and table data registered by the user, and an answer generation means (equipment management system computer) that outputs answer statements generated using a large-scale language model using only the user-registered data in response to questions entered by the user, and the display means displays a question and answer screen and a dashboard screen side by side that display the questions received by the answer generation means and the answers it outputs.

Description

[Technical Field]

[0001] The present invention relates to a facility management system and a facility management program. [Background technology]

[0002] In factories, plants, etc., sensor output data from measuring instruments installed in equipment is collected and analyzed to prevent equipment downtime and maintain performance. For example, machine vibration data is analyzed to detect equipment abnormalities.

[0003] The large amount of digital data generated as a result of collecting and analyzing sensor output data is visualized and displayed in easy-to-understand formats such as aggregated values, tables, and graphs on a dashboard screen, which is one of the BI (Business Intelligence) tools. For example, if the target is vibration data, trend graphs that can be used to determine whether the vibration is in a steady state or is deviating from the steady state, as well as spectrum graphs based on frequency analysis, are displayed.

[0004] The dashboard screen displays analysis results at a glance, reducing the need for even non-experts to refer to each piece of data individually. However, this only applies when the equipment is operating normally and safely. When equipment malfunctions, experienced operators review the individual data and determine the necessary measures based on their experience. Even experienced operators must search through large volumes of paper manuals to find the necessary information and take appropriate action when encountering a situation they have never experienced before. This type of work is not limited to preventing equipment downtime. In other words, to ensure efficient productivity, operators must make daily decisions based on large volumes of paper manuals, such as how to operate machines most efficiently based on their status, condition, and production volume, and how to maximize production volume with minimal energy consumption. Summary of the Invention [Problem to be solved by the invention]

[0005] Of course, attempts have been made to turn large volumes of paper manuals into a database and make it possible to access necessary information through a search. However, this ultimately relies on full-text searches using free words, and unless the operator is an experienced user, they may not know what clues to use and may not be able to set appropriate free words for a specific search, resulting in ineffective results. It is also difficult to search image data. Furthermore, the search tool is separated from the information on the dashboard screen, completely separating the work of identifying the problem from the work of searching for or considering a solution, making it an ineffective system.

[0006] The present invention has been made in consideration of the above, and aims to provide an equipment management system and an equipment management program that enable even non-experienced operators to obtain answers that correspond to the questioner's intentions depending on the situation encountered, and that can be organically linked with the dashboard screen to further improve the visibility of the screen display. [Means for solving the problem]

[0007] In order to solve such problems, the present invention provides an equipment management system that outputs information for equipment maintenance based on sensor output data from a plurality of measuring devices disposed in a plurality of equipment devices operating in a factory or plant, and includes a dynamic data analysis means that collects and analyzes the sensor output data and outputs visualized information including at least one of aggregated values, tables, and graphs, a display means that includes a dashboard screen in a display area that displays a list of information output by the dynamic data analysis means, and a display means that displays documents, images, and table data that users themselves register. and graph dataand an answer generation means for generating an answer sentence in response to a question sentence input by a user by using only the user registration data and a large-scale language model, and the display means displays a question answer screen for displaying the question sentence received by the answer generation means and the answer sentence to be output, and the dashboard screen side by side. The static data storage unit has a contextualization means, which extracts contextualization information from unstructured data of text, images, table data, and graph data that a user wishes to register, converts the extracted contextualization information into vector data, and registers the vector data in the user registration data. It is characterized by:

[0008] The present invention is also characterized in that the question answer screen displays a link button for the user registered data used when generating the answer, and the display means is configured to display the user registered data used on the same screen at least when the link button is operated, thereby allowing the answer text and the materials registered by the user to be checked simultaneously.

[0010] Furthermore, the present invention is characterized in that the static data storage unit also stores original data that the user intends to register, in addition to the user registration data.

[0011] Further, in the present invention, the static data storage unit stores data that the dynamic data analysis means has previously stored. Sensor output data Collect and analyze The information should also be visualized to include at least aggregated values, tables, and graphs. , and accumulates it as sensor output history data, and the answer generating means handles the sensor output history data as a category of the user registered data and outputs an answer sentence after utilizing this as well. It is characterized by:

[0012] The present invention also provides a computer for an equipment management system, which includes dynamic data analysis means for collecting and analyzing sensor output data from a plurality of measuring devices disposed in a plurality of equipment devices operating in a factory or plant, and outputting the data as visualized information including at least a summary value, a table, or a graph, and display means including in a display area a dashboard screen for displaying a list of information output by the dynamic data analysis means, and which is capable of displaying documents, images, table data, etc., registered by a user himself / herself. and graph dataA registration processing means for extracting contextualized information from unstructured data consisting only of the question text input by the user, converting the extracted contextualized information into vector data, and registering the converted vector data and the unstructured data as user registration data. A question sentence conversion means for extracting contextual information from the question sentence and converting it into vector data, and The vector data of the registered user registration data is Using The facility management program is characterized by functioning as an answer generation means that searches for similar data and generates an answer sentence based on the similar data using a large-scale language model. [Effects of the Invention]

[0013] According to the present invention, it is possible to provide a facility management system that enables even non-experienced operators to obtain answers that correspond to the questioner's intentions depending on the situation they encounter, and that can improve the visibility of the screen display by organically linking with the dashboard screen. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a system configuration and functional block diagram of a facility management system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a functional block diagram of a static data storage unit in the facility management system according to one embodiment of the present invention. [Figure 3] FIG. 1 is an explanatory diagram illustrating a smart dashboard function in a facility management system according to an embodiment of the present invention. [Figure 4] FIG. 10 is a diagram showing an example of the layout of a smart dashboard screen in a facility management system according to an embodiment of the present invention. [Figure 5] FIG. 10 is a diagram showing an example of the layout of a smart dashboard screen in a facility management system according to an embodiment of the present invention. [Figure 6] FIG. 10 is a diagram showing an example of the layout of a smart dashboard screen in a facility management system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0015] <Embodiments of the present invention> Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The drawings are created for the purpose of explanation, and for the sake of clarity, some components not necessary for the explanation may not be shown.

[0016] (Overall configuration of facility management system) FIG. 1 is a system configuration and functional block diagram of an equipment management system according to one embodiment of the present invention. The equipment management system comprises an equipment status analysis and diagnosis system (dynamic analysis means), a smart dashboard, a platform server, multiple measuring instruments, and a static data storage unit. Here, as an example, a system that performs analysis of each vibration type based on the outputs of multiple vibration sensors installed in multiple equipment operating in a factory or plant will be described. That is, an equipment management system 100 according to one embodiment of the present invention comprises a vibration analysis and diagnosis system 1 (hereinafter simply referred to as "vibration analysis and diagnosis system 1") for rotating machinery equipment supported by plain bearings, rolling bearings, or the like, a smart dashboard 2, a platform server 3, various vibration sensors 4, and a static data storage unit 5.

[0017] Factories and plants are equipped with dispersed equipment such as pumps, fans, drive motors, actuators, and valves. Various vibration sensors 4 are installed on each piece of equipment to monitor its status. For example, an acceleration sensor is attached to the bearing of a drive motor to capture vibration data. The sensor outputs from these various vibration sensors 4 are collected as vibration IFs (various vibration information) by the platform server 3 (described below). Specifically, vibration waveform data measured by wireless or wired sensors attached to the equipment, along with vibration waveform data from the internal circuits of the wireless or wired sensors, are collected by a data collection device. The various vibration data are then subjected to analytical and calculation processes such as Fourier transform and vibration amplitude transformation, and transmitted to a higher-level controller via a communication bus that transmits digital signals. In the case of wireless sensors, all or part of the analytical and calculation processes may be performed by the internal circuits of the wireless sensors. Furthermore, various vibration data from some vibration sensors can also be collected via a cloud-based condition monitoring system.

[0018] Platform Server 3 handles EAI tools provided as middleware that connects different systems. While it is common to have systems that handle sensor output data from vibration sensors to monitor abnormalities in the manufacturing system, and systems that accumulate manufacturing process data and create production plans for production management, data integration between these systems is sometimes insufficient. Platform Server 3 handles vibration data as manufacturing EAI based on vibration IF (various vibration information), process data as manufacturing EAI accumulated in the static data storage unit 5, and vibration data as information EAI collected by a cloud-based condition monitoring system. In addition to process data, Platform Server 3 also handles documents registered by users themselves.

[0019] Because the platform server 3 uses an EAI tool, the facility management system according to one embodiment of the present invention realizes an integrated system that can be used in common by various departments. For example, the facility management system 100 can be effectively used by both the operation department and the maintenance department. This will be described in more detail later in the section on examples of using the smart dashboard.

[0020] In addition to process data, the static data storage unit 5 also stores user registration data registered by users themselves, such as procedure manuals and emergency response manuals. The user registration data is contextualized data that has been created by removing information that is unnecessary for generating answers to user questions. However, the static data storage unit 5 also stores the original data from which unnecessary information has not been removed.

[0021] In addition to the conventional dashboard screen that processes and displays dynamic data obtained from the system, Smart Dashboard 2 also centrally manages static data such as documents, procedure manuals, and other materials, obtains necessary information from various sources, and creates answers to questions from users using a large-scale language model to provide information to users.

[0022] The vibration analysis and diagnosis system 1 has various functions necessary for monitoring the status of facility equipment (detecting abnormalities) and for performing vibration analysis and diagnosis after abnormalities are detected. For example, when monitoring the status of facility equipment, it is possible to detect abnormalities in facility equipment early based on various vibration data obtained from vibration sensors attached to the drive motor, using the overall (OA) absolute value alarm, OA relative value alarm, spectrum alarm, and vector alarm functions in accordance with ISO evaluation standards, etc. Alarm generation information can be output in CSV format. In addition, for equipment where an abnormality has been detected, vibration diagnosis engineers can use 16 types of vibration data analysis functions, including trend analysis, spectrum analysis, orbit & waveform, and polar analysis, to estimate the cause of the abnormality and evaluate its condition (evaluate the extent of damage). For example, when evaluating the extent of damage to rolling bearings, the bearing analysis function can be used to compare and detect the characteristic vibration frequencies that occur when the rolling bearing is damaged, and the magnitude of those vibration values, as well as use criteria such as wave efficiency to estimate the cause of the abnormality and evaluate its condition (evaluate the extent of damage). These analysis results can be output in CSV format. Furthermore, the vibration analysis and diagnosis system 1 has a precision diagnosis function that uses analysis data such as rotation speed, vibration waveform data, and spectrum data, as well as facility equipment information, to automatically estimate and display 17 types of abnormal phenomena in facility equipment supported by sliding bearings, and 16 types of abnormal phenomena in rotating machinery equipment supported by rolling bearings, etc. This diagnosis function is scheduled to perform diagnosis periodically, and outputs the results as numerical data (for example, unbalance = "1"). These analysis or diagnosis results are displayed on the dashboard screen in various formats, such as trend graphs and spectrum graphs. Because the content of these is no different from that of conventional equipment management systems, further detailed explanation will be omitted. However, as explained by listing 17 or 16 types of abnormal phenomena, it is easy to understand that a paper manual detailing how to deal with abnormalities would be enormously voluminous. On the other hand, as will be described later, the equipment management system according to one embodiment of the present invention does not learn information other than that obtained directly or indirectly from the vibration analysis and diagnosis system 1, such as web information obtained by connecting to the Internet. This is because such information would have a greater negative impact on equipment management by becoming noise.

[0023] The distinctive feature of the present invention is the handling of documents, images, and table data registered by users themselves, which is the role of the static data storage unit. In other words, the features of this data include the processing of data before registration, the usage of registered data, and the confirmation of primary data. These points are explained below.

[0024] (Static data storage configuration) 2 is a functional block diagram of a static data storage unit in an equipment management system according to one embodiment of the present invention. The direction indicated by the dashed arrows represents the order of execution processes or the flow of data (information) in each functional block.

[0025] The static data storage unit 5 is composed of a registration processing unit 51 and a registration database 52. That is, the static data storage unit 5 is composed of a control means for data registration processing and a storage means for accumulating data. Specifically, the registration processing unit 51 is a means for performing the necessary processing to make the sentences, images, table data, etc. that the user wishes to register suitable for generating answer sentences using a large-scale language model. The registration database 52 is a means for accumulating and storing the processed user registration data and other data.

[0026] The registration processing unit 51 is composed of an input means 511, a contextualization means 512, and a vector data conversion means 513. As shown by the dashed arrows in Figure 2, data input by the input means 511 is sent to the contextualization means 512 and then to the vector data conversion means 513.

[0027] The input means 511 is a means for the user to select and input the document, image, or table data they wish to register. The operator can select a file name on the PC screen to determine the target and register it, or register it using drag-and-drop processing. A wide variety of documents can be registered, including plant system diagrams, operation manuals, emergency operating procedures, and diagnostic reports. Documents are not limited to text and PDF formats, but also include word processing documents, HTML documents, and other documents that contain information for display on the screen, such as character size, font type, and display position. In addition to documents, images and table data can also be registered.

[0028] The contextualization means 512 is a means for extracting contextualization information from unstructured data such as text, images, and table data that the user intends to register, and assigning meaning to it. In other words, it is a control processing means for understanding the meaning of the data, assigning that meaning, and constructing relationships between data.

[0029] The vector data conversion means 513 generates vector data by quantifying the meanings assigned by the contextualization means 512 and the relationships between data constructed by the contextualization means 512. The generated vector data is added to the unstructured data and registered as user registration data in the registration database 52.

[0030] The registration database 52 accumulates and stores primary data 522, which is the original data that the user has designated as the registration target, in addition to the user registration data 521 generated by the registration processing unit 51. It also accumulates and stores sensor output history data 523, which is data that has been previously collected and analyzed by the vibration analysis and diagnosis system 1. The sensor output history data 523 includes alarm history, vibration data, process data, etc. Although not shown in the figure, the sensor output history data is also subjected to contextualization processing before being accumulated and stored.

[0031] Large-scale language models are natural language processing models constructed with a huge amount of calculations, data, and parameters, and, as is well known, use information available on the Internet as data for machine learning. Although answers to questions generated by large-scale language models have a certain degree of accuracy, it is also well known that incorrect answers may be generated depending on the Internet information used.

[0032] In this regard, the facility management system 100 according to one embodiment of the present invention does not obtain or store information from outside the facility management system in the registration database 52, whether it is user registration data registered by the user himself or data previously collected and analyzed by the vibration analysis and diagnosis system 1. Therefore, even though a response sentence is generated and output using a large-scale language model, there is no risk of an incorrect response being given. This is a major advantage for a facility management system.

[0033] (Smart Dashboard Functionality Configuration) The smart dashboard display screen not only displays the conventional dashboard screen, which allows users to check equipment anomalies on screen based on data from the vibration analysis and diagnosis system1, but also displays a chatbot screen that utilizes so-called RAG (Retrieval-Augmented Generation), which combines a large-scale language model with an information search system. By loading internal company documents, users can obtain answers to questions about equipment anomalies. This section explains the internal functional configuration that enables the screen display on this smart dashboard.

[0034] FIG. 3 is an explanatory diagram illustrating the smart dashboard function in a facility management system according to one embodiment of the present invention. The large-scale language model generates answers to questions using the plant system diagram, operation manual, emergency operating procedures, and diagnostic reports stored in the user registration data 521, as well as the alarm history, vibration data, and process data stored in the sensor output history data 523. As described above, the user registration data 521 and the sensor output history data 523 are pre-contextualized and assigned vector data, enabling the use of a vector search mechanism. Specifically, similar questions are similarly contextualized and assigned vector data, and similar data is searched for by measuring the vector distance. Based on the similar data thus searched and extracted, the large-scale language model generates answers.

[0035] Searches using conventional databases and search tools involve full-text searching to find parts of all documents in the database that contain the search keyword, and there are two typical search methods: a Grep-type method that searches all documents each time a search is performed, and an index-type method that creates an index from documents and then searches them. The former has the disadvantage of becoming slower as the amount of data increases, while the latter is fast but has the disadvantage of requiring the creation of an index, which must be rebuilt when the materials are updated.

[0036] In contrast, the smart dashboard function of the facility management system according to one embodiment of the present invention employs a vector search mechanism, which enables faster and more relevant results to be returned compared to conventional keyword searches. Furthermore, a large-scale language model is used to create an answer that matches the query based on the returned results, making it possible to provide an answer that is in line with the questioner's intent, unlike full-text searches.

[0037] (Example of using the Smart Dashboard) The smart dashboard screen in a facility management system according to one embodiment of the present invention displays a question and answer screen, which displays questions received and answers output by the answer generation means, alongside a dashboard screen, which allows users to check equipment anomalies on the screen. The question and answer screen also displays a link button for the user-registered data used to generate the answer. When this link button is pressed, the user-registered data used is displayed on the same screen, allowing users to simultaneously check the answer and the documents registered by the user. This screen configuration enables users to appropriately address problems encountered in a variety of situations in various departments. An example of a display screen will be described below.

[0038] 4 and 5 are diagrams showing an example of the layout of a smart dashboard screen in a facility management system according to one embodiment of the present invention, and are intended to explain that the screens change in the order of Fig. 4 to Fig. 5. Here, an example will be described in which an alarm occurs in a pump, and the operations department, having confirmed abnormal vibrations on the dashboard screen, searches for an appropriate response.

[0039] The top left of the dashboard screen shown in Figure 4 displays an illustration of a pump and the fact that an "OA danger alarm" has been issued from the equipment name "C-axis refrigerated P." The bottom left of the screen also displays the "Trend Graph" tab, which shows that midway through the latter half of the graph's time axis, the velocity vibration suddenly increased from 3.3 mm / s RMS to 8.5 mm / s RMS, exceeding the OA danger alarm threshold of 7.0 mm / s RMS, and that the flow rate reached 18.3 m / s at the same time as the velocity vibration increased. 3 / h to 14.9m 3 A trend graph is displayed, which shows that the speed vibration increased at the same time as the pressure increased from 1.2 MPa to 3.9 MPa.

[0040] On the right side of the dashboard screen, a chatbot screen is displayed as a question and answer screen. When an operator in the operations department inputs the question, "Please tell me how to switch the C-axis chilled water pump," the chatbot responds, "Information on how to deal with the C-axis chilled water pump is included in the search results, so I will answer based on that. If the flow rate of the C-axis chilled water pump suddenly decreases and the speed vibration exceeds the danger alarm threshold, the recommended way to deal with it is to stop the C-axis chilled water pump and switch to the spare unit." In addition, a hyperlink is displayed, reading "Quote: How to deal with the C-axis chilled water pump.pdf." Clicking this hyperlink changes the display in the lower left corner of the dashboard screen to the screen shown in Figure 5.

[0041] In the lower left corner of the dashboard screen shown in Figure 5, the tab has been switched from "Trend Graph" to "Reference Materials," and the screen showing the original data (primary data) used for the responses is displayed. The original data also allows you to check the pump system diagram.

[0042] After the operation department has responded, the operator of the operation department typically uses a chat system (not shown) included in the facility management system 100 to report to the maintenance department staff that operation has been switched to the backup machine and to request an investigation into the cause of the problem. Here, we will continue with the explanation using an example in which the maintenance department, having received the report and request for investigation, conducts the investigation. Note that the screen of the chat system (not shown) has the same display as that of a chatbot, but it may be displayed in full screen to make the dialogue easier.

[0043] FIG. 6 is a diagram showing an example layout of a smart dashboard screen in an equipment management system according to one embodiment of the present invention. The situation setting here is assumed to be one in which maintenance department staff operate the system.

[0044] The right side of the dashboard screen displays a chatbot screen for questions and answers. When a maintenance department staff member inputs the question, "Can you provide me with similar analysis reports from the past?", the chatbot responds, "The search results include past analysis reports for the C-axis chilled water pump. Specifically, you can view pump diagnostic results reports, trend graphs, spectrum graphs, and pump maintenance documents. By viewing these documents comprehensively, you can understand the condition of the C-axis chilled water pump and past troubleshooting methods." Multiple hyperlinks to reference documents are also displayed. This example shows an example in which an annotated image of a similar trend graph from the past is displayed, assuming that the trend graph hyperlink has already been clicked. Subsequent screen transitions are omitted, but the maintenance department staff further referenced the multiple documents linked to the hyperlinks and discovered a situation that matched the previous trouble analysis report. They determined that the cause of the problem was excessive impeller passing vibration due to a reduced flow rate caused by deterioration and damage to the pump discharge valve, which changed the static load and bearing load acting on the impeller.

[0045] From the above explanation, it can be seen that different tasks performed by multiple departments were smoothly carried out using a single integrated system. That is, when a pump alarm occurred, an operator in the operations department confirmed the vibration abnormality on the dashboard screen. After checking the document "C-Axis Chilled Water Pump Troubleshooting.pdf" on the chatbot screen, he switched to the backup pump in accordance with the chatbot's response. The operations department operator then used the system's chat function to request an actual inspection of the pump for which the alarm occurred. In response, the maintenance department used the chatbot screen to conduct an actual inspection, identify the cause of the abnormality, perform repairs, and verify its integrity. This is the flow of operations. The maintenance department then reported the cause and countermeasures to the operations department. The created report was added to the user registration data 521 by registering it using the drag-and-drop process described above.

[0046] Although we have explained the asset management system above, it is easy to understand that the problem described in the Background Art section—that even non-expert operators must be able to respond appropriately to the situations they encounter—applies to areas other than maintenance as well. Specifically, without effective handling of production planning information, production KPI information, and budget-actual management information in production planning; equipment operation information, production execution information, and manufacturing KPI information in manufacturing; quality inspection information, sampling inspection information, and quality KPI information in quality control; inventory information, purchasing information, order information, and purchasing / procurement KPI information in purchasing and procurement; back-office and various KPI information in general affairs and accounting; and quota information, order performance information, and sales KPI information in sales—it is difficult to find an appropriate solution. The technical concept of the present invention can also be effectively applied to management or planning systems in these business fields. While it is common for multiple systems to be connected using EAI, the asset management system of the present invention, particularly by utilizing the smart dashboard function, enables a single, more integrated system to further promote business collaboration across multiple departments.

[0047] [Note] As described above, the technical idea of ​​the present invention can be applied to a wider range of fields, and the inventive idea (mode) when the technical idea is embodied as a general management system for other business operations is shown below.

[0048] (Appendix 1) (1) A management system that outputs information for management based on a plurality of data specifications to be managed, a dynamic data analysis means for collecting and analyzing the data elements and outputting the collected data as visualized information including at least one of a summary value, a table, and a graph; a display means including a dashboard screen in a display area for displaying a list of information output by the dynamic data analysis means; a static data storage unit for storing user registration data consisting only of documents, images, and table data registered by users themselves; an answer generation means for generating an answer to a question input by a user by utilizing a large-scale language model using only the user registration data, The display means displays a question and answer screen that displays questions received by the answer generation means and answers to be output, and the dashboard screen side by side. A management system characterized by:

[0049] (Appendix 2) (2) One aspect of the invention as a management system is the management system described in (1), characterized in that the question and answer screen displays a link button for the user registered data used to generate the answer, and the display means is configured to display the user registered data used on the same screen at least when the link button is operated, thereby allowing the answer text and the materials registered by the user to be checked simultaneously.

[0050] (Appendix 3) (3) One aspect of the invention as a management system is the management system described in (2), wherein the static data storage unit has a contextualization means, and the contextualization means extracts contextualization information from unstructured data such as text, images, table data, etc. that the user wishes to register, converts it into vector data, and registers it in the user registration data.

[0051] (Appendix 4) (4) One aspect of the invention as a management system is the management system described in (3), characterized in that the static data storage unit also stores the original data that the user intends to register separately from the user registration data.

[0052] (Appendix 5) (5) One aspect of the invention as a management system is the management system described in (4), characterized in that the static data storage unit accumulates data previously collected and analyzed by the dynamic data analysis means as historical data, and the answer generation means treats the historical data as a category of the user registered data and uses this as well to output an answer sentence.

[0053] (Appendix 6) (6) A management system computer including: a dynamic data analysis means for collecting and analyzing data elements and outputting visualized information including at least one of aggregated values, tables, and graphs; and a display means including, in a display area, a dashboard screen for displaying a list of information output by the dynamic data analysis means. a registration processing means for extracting contextualized information from unstructured data consisting of only documents, images, and table data registered by a user, converting the extracted contextualized information into vector data, and registering the converted vector data and the unstructured data as user registration data; The system functions as an answer generation means that searches for similar data for a question entered by a user using vector data of the registered user registration data, and generates an answer sentence based on the similar data using a large-scale language model. A management program characterized by:

[0054] The facility management system according to an embodiment of the present invention has been described in detail above with reference to the drawings, giving a specific example of the vibration analysis and diagnosis system 1. However, the specific configuration is not limited to this example, and the present invention also includes design changes that do not deviate from the gist of the present invention. For example, depending on the equipment installed in a factory or plant, the measuring instruments installed in the equipment are not limited to vibration sensors and accelerometers, but may include all measuring instruments used to understand and manage the status of the equipment, such as flow meters, temperature sensors, and pressure sensors. Furthermore, the term "equipment maintenance" in the "equipment management system that outputs information for equipment maintenance" should not be understood as being limited to preventing system downtime. As mentioned in the "Background Art" section at the beginning, since systems are also required to maintain performance, it should be understood in a broader sense as maintaining or managing the production volume and quality produced by the equipment. In that sense, the equipment management system of the present invention also encompasses the concept of a production management system. It should be fully understood that the significance of the present invention lies in the fact that the smart dashboard function can be used to enable business collaboration across multiple departments in a single, more integrated system. [Explanation of symbols]

[0055] 1. Vibration analysis and diagnostic system (dynamic data analysis means) 2. Smart Dashboard (display method) 3 Platform Server 4. Vibration sensors (measuring instruments) 5. Static Data Storage 51 Registration processing section 511 Input Method 512 Contextualization Measures 513 Vector Data Conversion Method 52 Registration Database 521 User Registration Data 522 Primary Data 523 Sensor output history data

Claims

1. An equipment management system that outputs information for equipment maintenance based on sensor output data from a plurality of measuring devices disposed in a plurality of equipment devices operating in a factory or plant, a dynamic data analysis means for collecting and analyzing the sensor output data and outputting the collected data as visualized information including at least one of a summary value, a table, and a graph; a display means including a dashboard screen in a display area for displaying a list of information output by the dynamic data analysis means; a static data storage unit for storing user registration data consisting only of documents, images, table data, and graph data registered by users themselves; an answer generation means for generating an answer to a question input by a user by utilizing a large-scale language model using only the user registration data, the display means displays a question and answer screen, which displays a question received by the answer generation means and an answer to be output, and the dashboard screen side by side; the static data store has a contextualization means; The contextualization means extracts contextualization information from unstructured data of text, images, table data, and graph data that a user wishes to register, converts the extracted information into vector data, and registers the vector data in the user registration data. A facility management system characterized by:

2. the static data storage unit also stores, as sensor output history data, information that the dynamic data analysis means has previously collected and analyzed the sensor output data and visualized to include at least one of a summary value, a table, and a graph; The answer generating means treats the sensor output history data as a category of the user registration data and outputs an answer sentence by utilizing the data. The facility management system according to claim 1 .

3. The question and answer screen displays a link button to the user registration data used to generate the answer, The display means is configured to display the used user registration data on the same screen at least when the link button is operated, so that the answer text and the materials registered by the user can be confirmed at the same time.

3. The facility management system according to claim 1 or 2.

4. The static data storage unit also stores original data that the user intends to register, in addition to the user registration data.

3. The facility management system according to claim 1 or 2.

5. A computer for an equipment management system comprising: a dynamic data analysis means for collecting and analyzing sensor output data from a plurality of measuring devices disposed in a plurality of equipment devices operating in a factory or plant, and outputting the data as visualized information including at least one of an aggregated value, a table, and a graph; and a display means for including in a display area a dashboard screen for displaying a list of information output by the dynamic data analysis means, a registration processing means for extracting contextualized information from unstructured data consisting only of documents, images, table data, and graph data registered by a user, converting the extracted contextualized information into vector data, and registering the converted vector data and the unstructured data as user registration data; a question conversion means for extracting contextual information from a question input by a user and converting the information into vector data; The answer generation means searches for similar data using the vector data of the question sentence and the vector data of the registered user registration data, and generates an answer sentence based on the similar data using a large-scale language model. A facility management program characterized by:

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