Heat source equipment maintenance support system

Abstract

The invention provides a heat source equipment maintenance support system which can optimize the operation of heat source equipment by taking into account the actual use state of each device constituting the heat source equipment and performing a maintenance proposal. A heat source equipment maintenance support system for managing heat source equipment is provided with: a storage unit for storing design specification data and maintenance-related data for each of the heat source equipment; a data collection unit that collects continuous operation data relating to continuous operation conditions of the heat source device and stores the continuous operation data in the storage unit; and a maintenance proposal unit that analyzes the design specification data, the maintenance-related data, and the continuous operation data, and proposals the maintenance of the heat source device.

Description

Technical Field

[0001] This invention relates to a maintenance support system for heat source equipment for managing heat source equipment. Background Technology

[0002] Air conditioning equipment in large facilities such as buildings and heat source equipment used in process cooling in factories consist of multiple devices, including, in addition to turbine chillers and absorption chillers, cooling towers, pumps, and so on. Therefore, a heat source equipment maintenance support system is needed that can manage the usage status of these multiple devices and perform optimal maintenance, repairs, and component replacements at precise times.

[0003] Existing technical documents

[0004] Patent documents

[0005] Patent Document 1: Japanese Patent Application Publication No. 2005-182465 Summary of the Invention

[0006] The problem that the invention aims to solve

[0007] Because heat source equipment has a service life of over ten years, the specifications initially required by the user and the current specifications may change over time due to variations in operating conditions and environment. Furthermore, performance degradation caused by years of equipment deterioration means that operating the equipment according to its original specifications may not always be optimal in terms of overall energy efficiency. Additionally, since the actual operating conditions of the various components within a heat source system differ, the maintenance content and timing for each component will also vary.

[0008] However, in the past, the individual components of the heat source equipment were managed only individually and on a fixed schedule, which made it impossible to carry out accurate and efficient maintenance management of the entire heat source equipment.

[0009] The present invention was proposed in view of the above-mentioned problems, and its object is to provide a heat source equipment maintenance support system that can optimize the overall operation of the heat source equipment by taking into account the actual usage status of each device constituting the heat source equipment and the user's required usage method.

[0010] Methods for solving problems

[0011] In one embodiment, a heat source equipment maintenance support system manages heat source equipment, including: a storage unit that stores design specification data and maintenance-related data for each component of the heat source equipment; a data collection unit that collects and stores continuous operation data related to the continuous operation status of the heat source equipment; and a maintenance proposal unit that analyzes the design specification data, the maintenance-related data, and the continuous operation data to propose maintenance for the heat source equipment. According to this embodiment, a heat source equipment maintenance support system can be provided that considers the actual usage status of each component of the heat source equipment to propose maintenance, thereby optimizing the overall operation of the heat source equipment.

[0012] In one approach, the maintenance-related data includes periodic operation data consisting of a portion of continuous operation data for a specific period at the time of delivery or after delivery of each piece of heat source equipment. According to this approach, operation data at the time of delivery of each piece of heat source equipment, operation data after maintenance, operation data during high-load periods, etc., can be stored as periodic operation data, and by comparing them with current operation data, the annual deterioration status and changes in the usage condition of each piece of equipment can be understood.

[0013] In one approach, the maintenance-related data includes maintenance data obtained during the maintenance of the heat source equipment. According to this approach, using past maintenance data for each device within the heat source equipment allows for more appropriate maintenance proposals.

[0014] In one approach, the maintenance data includes any one of the following: maintenance work history, diagnostic data performed by the maintenance operator, image data, sound data, vibration data, odor analysis data, water quality analysis data, solution analysis data, image data of the surrounding environment, and meteorological data. According to this approach, using past maintenance data such as maintenance work history for each piece of heat source equipment, diagnostic data performed by the operator, image data, and sound data, more appropriate maintenance proposals can be made.

[0015] In one approach, the maintenance proposal department determines the maintenance and repair items for each piece of equipment based on the design specification data, the maintenance-related data, or the continuous operation data, and selects maintenance proposal data according to a data table, or generates the maintenance proposal data according to a learned model obtained through continuous learning of the maintenance-related data and the continuous operation data. According to this approach, maintenance and repair items for each piece of heat source equipment can be determined and maintenance proposals can be generated based on design specification data, maintenance-related data, and continuous operation data.

[0016] In one approach, the maintenance proposal data includes data related to the content of the maintenance and data related to the cost of the maintenance.

[0017] This method allows for the provision of maintenance proposals to users, including the costs associated with maintenance.

[0018] In one approach, the maintenance proposal data includes optimal operating simulations of the heat source equipment. According to this approach, maintenance and repair items for each component of the heat source equipment can be determined based on design specifications, maintenance-related data, and continuous operating data, and multiple maintenance proposals can be provided to the user, including component updates, repairs, and optimal operating simulations, covering the costs associated with maintenance.

[0019] Invention Effects

[0020] According to the present invention, a heat source equipment maintenance support system is available that can provide maintenance proposals that take into account the actual usage conditions of the devices constituting the heat source equipment, thereby optimizing the overall operation of the heat source equipment. Attached Figure Description

[0021] Figure 1 This is an overall configuration diagram illustrating the structure of the heat source equipment maintenance support system 1 according to an embodiment of the present invention.

[0022] Figure 2 This is a flowchart that provides a detailed explanation of the structure and data generation of the maintenance-related data storage unit 11, the data collection unit 12, and the maintenance proposal unit 13.

[0023] Figure 3 This is a flowchart illustrating an example of data analysis in the data analysis unit 13A.

[0024] Figure 4 This is one example of various judgment / analysis items related to the analysis of the causes of cooling tower deterioration.

[0025] Figure 5 This is an example of diagnostic data generated during maintenance operations.

[0026] Figure 6 This is an example of a maintenance proposal screen generated by the maintenance proposal department 13 and displayed on a monitor or the like.

[0027] Figure 7 This is an example of a quote page that appears when the quote page button is pressed.

[0028] Figure 8 This is a flowchart illustrating the generation and display of optimal operating simulation data.

[0029] Figure 9 This is an example of a display screen showing the generation and display of optimal operating simulation data from the instruction manual.

[0030] Explanation of reference numerals in the attached figures

[0031] 1…Heat source equipment maintenance support system

[0032] 10… Data Server

[0033] 11…Data Storage Department

[0034] 11A…Design Specification Data Storage Department

[0035] 11B…Maintaining Associated Data Storage Department

[0036] 11C…Continuously Operating Data Storage Department

[0037] 12…Data Collection Department

[0038] 13…Maintenance Proposal Department

[0039] 13A…Data Analysis Department

[0040] 13B…Maintenance Proposal Data Generation Department

[0041] 14…Display Control Department

[0042] 20…Heat source equipment

[0043] 30… Control Panel

[0044] 40…sensor group

[0045] 50… Sensor Repeater

[0046] 60… Management Computer

[0047] 131…Maintenance and Repair Item Determination Department

[0048] 132…Maintenance Data Table Selection Department

[0049] 133…Maintenance Data Generation Department

[0050] 134…Maintenance Cost Calculation Department

[0051] NW…Network Detailed Implementation

[0052] The following description of the embodiments is based on the accompanying drawings. In the drawings, functionally equivalent elements are sometimes indicated by the same reference numerals. It should be noted that the drawings illustrate embodiments and examples based on the principles of this disclosure, but these are for understanding the disclosure and not for limiting or interpreting it. The description in this specification is merely typical illustration and is not intended to limit the claims or applications of this disclosure in any way.

[0053] In this embodiment, a thorough and detailed description has been provided to facilitate implementation of the present disclosure by those skilled in the art. However, other installations / methods are possible. It should be understood that as long as the technical concept and spirit of the present disclosure are not departed from, changes in the configuration / structure and substitution of various elements can be made. Therefore, the following description should not be construed as limiting it thereto.

[0054] Reference Figure 1 This section describes the configuration of a heat source equipment maintenance support system 1 according to an embodiment of the present invention. The heat source equipment maintenance support system 1 is generally configured to include a data server 10, a heat source equipment 20 to be controlled / managed, a control panel 30, a sensor group 40, a sensor repeater 50, and a management computer 60. The data server 10, control panel 30, sensor repeater 50, and management computer 60 can be interconnected, for example, via an Internet or a LAN (Local Area Network) network NW.

[0055] The heat source equipment maintenance support system 1 stores the design specification data (e.g., design temperature, capacity, number of units, BOM data, etc.) of each piece of equipment constituting the heat source equipment 20 at the time of delivery, maintenance-related data related to maintenance that has been performed (or is scheduled to be performed), and acquires operation-related data (continuous operation data) continuously acquired during operation from the time of delivery (start of operation). The heat source equipment maintenance support system 1 comprehensively parses this data and generates and outputs maintenance proposal data related to maintenance proposals for the heat source equipment 20.

[0056] Data server 10 maintains various data for the management and control of heat source equipment 20. The heat source equipment 20, which is the object of control, includes, for example, turbine chillers, absorption chillers, cooling towers, pumps, etc., but is not particularly limited thereto. In this embodiment, the heat source equipment maintenance support system 1 collects data corresponding to the configuration of the heat source equipment 20 as the object of control / management, and generates and outputs maintenance proposal data for that heat source equipment 20.

[0057] The computer, which performs comprehensive control of the heat source device 20, includes a control panel 30. The control panel 30 outputs various voltage, communication, or control signals for controlling the heat source device 20, and receives feedback signals indicating the operation of the heat source device 20. Additionally, it includes a communication unit (not shown) that connects to a network NW for sending and receiving various data with the data server 10.

[0058] Sensor group 40 measures various physical quantities (gas flow rate, current, voltage, electricity, temperature, humidity, sound, pressure, vibration, odor, water quality, solution composition, dust content, etc.) of the heat source device 20 and its surroundings, and outputs corresponding measurement signals. The acquired measurement signals are converted into appropriate values ​​and output, for example, to sensor repeater 50 for control in control panel 30, and are collected in data server 10 for maintaining the generation of proposal data.

[0059] The data server 10 and / or management computer 60, through their internally stored management programs, include, for example, a data storage unit 11, a data collection unit 12, a maintenance proposal unit 13, and a display control unit 14. The data storage unit 11 may further include a design specification data storage unit 11A, a maintenance-related data storage unit 11B, and a continuously operating data storage unit 11C. The data storage unit 11, data collection unit 12, maintenance proposal unit 13, and display control unit 14 may also be composed of an external computer other than the data server 10 and management computer 60.

[0060] Design Specification Data Storage Unit 11A stores the design specification data of the heat source equipment 20 at the time of delivery (e.g., design data, destination information, product capacity, quantity, component data, delivery date, customer data, installation location data, etc.).

[0061] On the other hand, the maintenance-related data storage unit 11B stores maintenance-related data associated with the heat source equipment 20 that has been performed (or is scheduled to be performed).

[0062] The data collection unit 12 collects continuous operation data obtained from the continuous operation of the heat source device 20. The continuous operation data can be used together with maintenance-related data to generate maintenance proposal data.

[0063] The continuous operation data is stored in the continuous operation data storage unit 11C. The continuous operation data includes, for example, the external gas temperature, wet-bulb temperature, dry-bulb temperature, meteorological data, cooling tower side flow rate, fan current value, cooling tower side cooling water inlet temperature, cooling tower side cooling water outlet temperature, chiller side cooling water inlet temperature, chiller side cooling water outlet temperature, chiller side power consumption, cooling tower side power consumption, fuel consumption, and chiller side cooling water set temperature, etc.

[0064] The maintenance proposal unit 13 analyzes the aforementioned design specification data, maintenance-related data, and continuous operation data to generate maintenance proposal data for the heat source equipment 20. The display control unit 14 performs display control to display the generated maintenance proposal data on, for example, a display of the management computer 60.

[0065] Next, refer to Figure 2The structure and data generation of the maintenance-related data storage unit 11, the data collection unit 12, and the maintenance proposal unit 13 will be described in detail. As mentioned above, the maintenance-related data storage unit 11 may include a design specification data storage unit 11A, a maintenance-related data storage unit 11B, and a continuously operating data storage unit 11C.

[0066] The design specification data storage unit 11A is used to maintain the generation of proposal data and is a storage device for the design specification data of each device within the heat source equipment 20. As an example, the design specification data storage unit 11A stores the design specification data of the heat source equipment 20 at the time of delivery (e.g., design data, destination information, product capacity, number of units, component data, delivery date, customer data, installation location data, etc.).

[0067] Maintenance-related data can primarily include maintenance data obtained through maintenance operations (in a narrow sense). Maintenance data can include maintenance operation history data (e.g., data on component replacement, cleaning, and repair), diagnostic data performed by maintenance personnel, image data, sound data, vibration data, odor analysis data, water quality analysis data, solution analysis data, and image data of the surrounding environment. Additionally, maintenance data can include image data, sound data, vibration data, odor analysis data, water quality analysis data, solution analysis data, and image data of the surrounding environment obtained from sensor groups 40 and other sources for each device in the heat source equipment 20. The appropriate selection or combination of these data is not particularly limited.

[0068] In addition, maintenance-related data may also include meteorological data near the location of the heat source equipment 20 during maintenance operations. Meteorological data can be extracted from the internet or obtained through meteorological observation sensors included in the sensor group 40.

[0069] In addition to the aforementioned narrow definition of maintenance data, maintenance-related data can also include specific-period operation data derived from a portion of continuous operation data (such as data at the time of delivery (initial operation), operation data for a certain period after maintenance, operation data during high-load periods, and data for each year since operation began). Thus, for example, by comparing operation data from one year after delivery with operation data ten years later, or by comparing operation data from July to September of each year when cooling loads are high, it is possible to determine the annual deterioration status and changes in the usage condition of the heat source equipment 20. However, this is just one example; maintenance-related data only needs to be data related to maintenance, and its composition can be appropriately changed according to various conditions.

[0070] The maintenance proposal department 13 generates maintenance proposal data based on design specification data, maintenance-related data, and continuous operation data. For example, it includes the data analysis department 13A and the maintenance proposal data generation department 13B.

[0071] The data analysis unit 13A may include a maintenance and repair item determination unit 131, a maintenance data sheet selection unit 132, a maintenance data generation unit 133, and a maintenance cost calculation unit 134.

[0072] The maintenance and repair item determination unit 131 determines the maintenance and repair items that can be performed during maintenance operations and uses as the object of data analysis. Maintenance and repair items can be determined based on the design specifications of the heat source equipment 20 and its maintenance-related data or continuous operation data. Based on the design specifications, candidate items for maintenance and repair items are determined for the devices and components constituting the heat source equipment 20. Furthermore, maintenance and repair items can be selected based on the maintenance content indicated by the maintenance-related data and the operating status indicated by the continuous operation data. It should be noted that the determination in the maintenance and repair item determination unit 131 can be omitted, and all maintenance and repair items included in the maintenance-related data can be used as the object of data analysis.

[0073] The maintenance data table selection unit 132 selects a maintenance data table for generating maintenance proposal data. Additionally, the maintenance data generation unit 133 generates maintenance data included in the maintenance proposal data based on the analysis results of various data. The generation of maintenance data in the maintenance data generation unit 133 can be performed by referring to the data table, or by generating a learned model based on machine learning, deep learning, etc., and then analyzing the various data obtained according to the learned model to generate maintenance proposal data. The maintenance cost calculation unit 134 calculates the maintenance cost based on the generated maintenance proposal data.

[0074] The maintenance proposal data generation unit 13B processes the maintenance data generated from the analysis results of the data analysis unit 13A to generate various maintenance proposal data (A to C). Maintenance proposal data A to C can, for example, propose upgrading to a new unit when the equipment has been in use for a long time and its efficiency has decreased. Alternatively, maintenance proposal data A to C can propose maintenance to upgrade the equipment by replacing multiple major components. Or, maintenance proposal data A to C can propose multiple maintenance menus, such as replacing specific consumable parts. By displaying each maintenance cost, data with varying content can be set. When multiple maintenance proposal data are generated, they can all be displayed on a monitor or the like, or only the maintenance proposal data that best meets the customer's requirements can be selectively displayed based on customer characteristic data, etc.

[0075] The maintenance proposal data generation unit 13B generates maintenance cost data (replacement costs, labor wages, transportation expenses, various other expenses, etc.) corresponding to the generated maintenance proposal data. As described later, when the maintenance proposal data is displayed on a monitor or other display, the maintenance cost data is used to display a quotation page according to the user's instructions.

[0076] In addition to maintenance proposal data and maintenance cost data, the maintenance proposal data generation unit 13B also generates optimal operation simulation data. This optimal operation simulation data, presented together with or separately from the maintenance proposal data, represents the best operational simulation data for the user of the target heat source equipment 20. By presenting the optimal operation simulation data, optimization of the overall energy efficiency of the heat source equipment 20 can be expected while reliably implementing maintenance. As will be described later, the optimal operation simulation data aligns with aspects important to the user (electricity cost reduction, CO2 reduction, priority use of selected equipment, etc.).

[0077] Reference Figure 3 This section describes an example of data analysis in the data analysis unit 13A. Here, the steps for analyzing the deterioration degree and causes of the cooling tower in the heat source equipment 20 will be explained. The same steps can also be used to analyze the deterioration degree and causes of devices other than the cooling tower.

[0078] For example, such as Figure 9 As shown, in heat source equipment 20, cooling water at 32°C is supplied from the cooling tower to the chiller via a cooling water pump, and cooling water at 37°C is supplied from the chiller to the cooling tower. If the temperature of the cooling water supplied from the cooling tower to the chiller exceeds 32°C for some reason, a cooling water temperature rise warning is issued on the chiller side. If the number of cooling water temperature rise warnings exceeds a predetermined number within a specified period, the cause is determined to be on the cooling tower side, and cooling tower deterioration analysis begins. An example of various determination / analysis items in the cooling tower deterioration analysis (step S11) is shown below. Figure 4 For example, the cause of the water temperature rise is determined based on the temperature difference between the cooling water inlet and outlet temperatures of the cooling tower relative to a set value. If the temperature difference is small, it is analyzed as blockage of the packing material. Furthermore, based on the water quality management status and cleaning history, if these maintenance procedures are not performed regularly, the water quality will deteriorate, resulting in the accumulation of slime, scale, and algae; therefore, it is determined to be blockage of the packing material. Based on this analysis result, a maintenance menu proposing cooling tower cleaning is selected or generated (step S12). The order of these determinations / analysis processes is not limited to... Figure 4 The order shown can be any, or they can be performed simultaneously. Or, Figure 4 The screen is displayed, for example, on the monitor of the management computer 60, and the administrator (user) can also make a selection by specifying the item to be selected, for example, in the selection bar. Figure 4 This is one example, not a limitation. Once the selection of the judgment / analysis item is completed, selection data based on the selected content is generated.

[0079] Next, the status of the cooling tower's components (belts, float plugs, fans, fillers, etc.) is determined based on maintenance-related data (e.g., the elapsed time since the most recent replacement). If the determination criteria are met, a replacement menu proposal for that component is selected (steps S13 to S22). Based on the determination and selection in steps S13 to S22, a maintenance proposal screen related to the cooling tower is generated and displayed (step S23).

[0080] Reference Figure 5 This illustrates an example of diagnostic data generated by the operator during maintenance work. Figure 5 For example, the diagnostic data input screen is for diagnostic data related to cooling towers, where operators enter the diagnostic results in the input fields of the maintenance items. Figure 5 For example, regarding fillers, input box B1 can be used to input the presence or absence of scale (deposits), adhesion percentage (adhesion %), filler deformation, degree of blockage, whether cleaning has been performed, and recommended replacement period (e.g., within the next 3 years). Similarly, regarding fan belts, input can be used to input the presence or absence of wear, tension, belt rubber damage percentage (damage %), whether cleaning has been performed, and recommended replacement period. It should be noted that if image and sound data obtained during maintenance operations are available, a file containing this data can be attached to the attachment box B2. Furthermore, a learned model can be generated based on machine learning, deep learning, or similar methods using this image and sound data. The various data obtained according to the learned model can then be analyzed and used as diagnostic data input. For example, a recording device can be installed at a location capable of recording the machine sounds of various heat source equipment. Sound data can be acquired periodically, and by learning from data during normal and abnormal periods, a maintenance menu (repair) can be generated when abnormal sounds occur. In addition, thermal imagers are used to periodically acquire thermal image data of various heat source devices. By learning from the data during normal and abnormal times, maintenance menus (inspections) can be generated when there are abnormal parts.

[0081] like Figure 5 As shown in the lower section, regarding the cooling tower, various characteristics related to the introduced cooling water (circulating water within the unit and makeup water for the supplementary evaporation section) are measured, and the measurement results are input and used as diagnostic data. For example, regarding the circulating water and makeup water, various measured values ​​(pH, conductivity, chloride ion content, sulfate ion content, oxygen consumption, total hardness, calcium hardness, ionic silica content, iron content, copper content, sulfide ion content, ammonium ion content, residual chlorine concentration, free carbonic acid concentration) are measured and input separately.

[0082] Figure 6This is an example of a maintenance proposal screen generated by the maintenance proposal department 13 and displayed on a monitor or the like. As an example, the maintenance proposal screen may include a display bar C1 for warnings and errors, a display bar C2 for the results of analysis (prediction) of the causes of warnings and errors, and a display bar C3 for various maintenance proposals (1-4). Various buttons C4 (quotation pages 1-3) are displayed near the display bars of each maintenance proposal; these buttons C4 are used to display a quotation for the costs required to execute the maintenance proposal. In addition, the maintenance proposals (e.g., proposal 4), besides various maintenance proposals, also suggest recommended operating procedures (optimal operation control) for future operation of the heat source equipment 20, and buttons for displaying their details (optimal operation screen) are displayed nearby.

[0083] Figure 7 This is an example of a quotation page displayed when the quotation page button is pressed. The quotation page displays a panel C5 showing the name of the recommended replacement parts, their unit price, delivery date, and quantity. Additionally, there is a panel C6 displaying the maintenance work cost, parts cost, transportation cost, consumables cost, tool wear cost, and various other expenses. The quotation page also includes buttons for outputting (printing) maintenance proposals and quotations, buttons for displaying user-instructed work orders and schedule adjustments, and a screen for returning to the maintenance proposal (…). Figure 6 Buttons such as the button C7. It should be noted that in... Figure 7 In the example, next to the display bar C5 showing the name of the recommended replacement part, there is a checkbox C8 indicating whether to add it to the quote. The selected part is included in the quote. The checkbox can also be omitted.

[0084] Reference Figure 8 and Figure 9 This document describes the generation of optimal operation simulation data and provides an example of an optimal operation screen representing this simulation data. As part of a maintenance proposal, the optimal operation simulation data is used to show the manager (user) of the heat source equipment 20 the optimal operation of the equipment in the future. Here, as an example, "optimal operation" refers to operation that comprehensively satisfies factors such as electricity cost reduction, CO2 emission reduction, priority use of selected equipment from the equipment included in the heat source equipment 20, and other judgment factors (longer lifespan, minimized maintenance frequency, etc.), resulting in high satisfaction from the manager's (user's) perspective. The emphasis on which judgment factor is prioritized varies depending on the manager (user), and this heat source equipment maintenance support system 1 increases the weight of the prioritized judgment factor to generate the optimal operation simulation data.

[0085] Figure 8This is a flowchart illustrating the steps for generating optimal operation simulation data. In generating the optimal operation simulation data, firstly, it is determined which factor the manager (user) of the heat source equipment 20 prioritizes. In this flowchart, it is determined which of the following factors is prioritized: electricity cost reduction (step S31), CO2 reduction (step S33), or prioritizing equipment usage (step S35). If a priority factor is determined, the operation control that prioritizes that factor is proposed as the optimal operation control (steps S32, S34, S36). It should be noted that if no factor is determined as a priority, the optimal operation control is proposed as "load-even operation control," which controls the heat source equipment 20 in a way that evenly distributes the load across the equipment constituting the heat source equipment 20 (step S37). The priority factor can be pre-stored as "customer data" in the data storage unit 11 of the data server 10, or it can be input by the manager (user) during the optimal operation simulation data generation stage.

[0086] If optimal operation control is set in this manner, it is determined whether to execute the set optimal operation control (step S38). If it is determined to execute (yes), the administrator (user) executes the optimal operation control selected in steps S31 to 37 (step S39), and displays the optimal operation screen corresponding to the selection (step S40). On the other hand, if it is determined in step S38 that the set optimal operation control is not executed (no), the optimal operation screen is displayed as a proposal screen in the state where optimal operation control is not executed.

[0087] Figure 9 An example of an optimal operation screen is shown. This optimal operation screen, in addition to an image C11 showing the configuration and operating status (cooling water temperature, etc.) of the heat source equipment 20, may also include a display bar C12 showing the load status of each device included in the heat source equipment 20, and a display bar C13 showing the current power consumption and the power consumption during optimal operation. The administrator (user) can view the optimal operation screen and, if they need the optimal operation shown on the screen, press the "Optimal Operation Request" button C14 in the lower right corner. When the "Optimal Operation Request" button C14 is pressed, it is stored as part of the customer data in the data server 10, and then the control panel 30 performs optimal operation control of the heat source equipment 20 according to this data. Figure 9 As shown, a priority selection bar for resetting the priority operation of each device can also be set in the display bar C12.

[0088] According to the heat source equipment maintenance support system 1 of this embodiment, in addition to the design specifications of the heat source equipment 20, maintenance proposal data is generated and prompted based on maintenance data related to the maintenance that has been performed (or is scheduled to be performed) and continuous operation data obtained during the continuous operation of the heat source equipment 20. When maintenance is performed according to the design specifications, due to changes in the usage conditions of the heat source equipment 20 and deterioration over time, the original output may not be obtained after the maintenance is performed. According to this embodiment, by comprehensively analyzing the design specifications, maintenance data, and continuous operation data, maintenance proposals that take into account changes in usage conditions and deterioration over time can be generated. As a result, the energy efficiency of the heat source equipment 20 is optimized, and energy consumption and operating costs can be reduced.

[0089] Furthermore, the components of the heat source device 20, such as turbine chillers, absorption chillers, cooling towers, cooling water pumps, and cold water pumps, interact with each other. It is well known that if the temperature of the cooling water from the cooling tower decreases, the efficiency of the chiller increases; conversely, if the cooling water flow rate decreases, the pumping power of the cooling water pump decreases, and the power consumption of the chiller increases. According to the present invention, by considering the actual operating conditions of each device constituting the heat source device 20 and proposing multiple maintenance plans and optimizing the operation of the heat source device 20 corresponding to the user's selection, it is possible to optimize the total maintenance cost or energy efficiency of the heat source device 20 as required by the user.

[0090] [other]

[0091] This invention is not limited to the above embodiments and includes various modifications. For example, the above embodiments have been described in detail for the purpose of clearly and easily explaining the invention, and are not limited to having all the described configurations. Furthermore, a portion of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Additionally, for a portion of the configuration of each embodiment, other configurations can be added to, deleted from, or replaced.

Claims

1. A heat source equipment maintenance support system for managing heat source equipment, characterized in that it comprises: The storage unit stores the design specifications and maintenance-related data of each component of the heat source equipment; The data collection unit collects continuous operating data related to the continuous operating status of the heat source equipment and stores it in the storage unit; as well as The maintenance proposal department analyzes the design specification data, the maintenance-related data, and the continuous operation data to propose maintenance for the heat source equipment.

2. The heat source equipment maintenance support system according to claim 1, characterized in that, The maintenance-related data includes periodic operation data consisting of a portion of the continuous operation data of each device of the heat source equipment at the time of delivery or for a specific period after delivery.

3. The heat source equipment maintenance support system according to claim 1, characterized in that, The maintenance-related data includes the maintenance data obtained during the maintenance of the heat source equipment.

4. The heat source equipment maintenance support system according to claim 3, characterized in that, The maintenance data includes any one of the following: maintenance operation history, diagnostic data performed by the maintenance operator, image data, sound data, vibration data, odor analysis data, water quality analysis data, solution analysis data, image data of the surrounding environment, and meteorological data of each device.

5. The heat source equipment maintenance support system according to claim 1, characterized in that, The maintenance proposal department determines the maintenance and repair items for each piece of equipment based on the design specifications, maintenance-related data, or continuous operation data, and selects maintenance proposal data according to the data table, or... The maintenance proposal data is generated based on the learned model obtained through continuous learning of the maintenance-related data and the continuously operating data.

6. The heat source equipment maintenance support system according to claim 5, characterized in that, The maintenance proposal data includes data related to the content of the maintenance and data related to the cost of the maintenance.

7. The heat source equipment maintenance support system according to claim 5, characterized in that, The maintenance proposal data includes optimal operating simulations of the heat source equipment.

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