Heat source equipment maintenance support system

Abstract

To provide a heat source facility maintenance support system capable of optimizing the operation of a heat source facility by proposing maintenance in consideration of the actual use state of each device constituting the heat source facility.SOLUTION: A heat source facility maintenance support system for managing a heat source facility includes a storage unit configured to store design specification data of each device of the heat source facility and maintenance related data, a data collection unit configured to collect continuous operation data related to a continuous operation state of the heat source facility and store the continuous operation data in the storage unit, and a maintenance proposal unit configured to analyze the design specification data, the maintenance related data, and the continuous operation data and propose maintenance of the heat source facility.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a heat source equipment maintenance support system for managing heat source equipment. [Background technology]

[0002] Air conditioning equipment installed in large facilities such as buildings, and heat source equipment used for process cooling in factories, are composed of multiple devices such as turbo chillers, absorption chiller-heaters, cooling towers, pumps, etc. For this reason, there is a demand for a heat source equipment maintenance support system that can manage the usage status of these multiple devices and perform optimal maintenance, repairs, part replacement, etc. at the appropriate time. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-182465 Summary of the Invention [Problem to be solved by the invention]

[0004] Heat source equipment is used for a long period of time, sometimes more than ten years, and as a result of changes in the conditions and environment of use, the specifications that the user required when the system was first installed may change over the years from the specifications that the user currently requires. Furthermore, due to factors such as performance degradation caused by aging, operation according to the original specifications may not be optimal in terms of the overall energy efficiency of the heat source equipment. Furthermore, because the actual usage of each of the multiple devices that make up the heat source equipment varies, the content and timing of maintenance for each device may also differ.

[0005] However, conventionally, the maintenance cycles and the like for each of the devices constituting the heat source equipment have only been managed individually and fixedly, and accurate and efficient maintenance management of the entire heat source equipment has not been possible.

[0006] The present invention has been made in consideration of the above-mentioned problems, and aims to provide a heat source equipment maintenance support system that makes maintenance suggestions taking into account the actual usage of each device that makes up the heat source equipment and the operating method desired by the user, thereby optimizing the overall operation of the heat source equipment. [Means for solving the problem]

[0007] In one aspect, a heat source equipment maintenance support system is a heat source equipment maintenance support system that manages heat source equipment, and includes: a storage unit that stores design specification data and maintenance-related data for each device of the heat source equipment; a data collection unit that collects continuous operation data related to the continuous operating status of the heat source equipment and stores it 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 proposes maintenance of the heat source equipment. According to this aspect, a heat source equipment maintenance support system can be provided that makes maintenance proposals taking into account the actual usage status of each device that constitutes the heat source equipment, thereby optimizing the operation of the heat source equipment as a whole.

[0008] In one aspect, the maintenance-related data is configured to include specific-period operating data consisting of a portion of the continuous operating data at the time of delivery of each device of the heat source facility or at a specific time after delivery. According to this aspect, the operating data at the time of delivery of each device of the heat source facility, operating data after an overhaul, operating data during periods of high load, etc. are saved as specific-period operating data, and by comparing it with current operating data, etc., it is possible to grasp the deterioration status of each device over time and changes in usage status.

[0009] In one aspect, the maintenance-related data includes maintenance data obtained when maintenance of the heat source equipment is performed. According to this aspect, more appropriate maintenance proposals can be made using past maintenance data performed on each device of the heat source equipment.

[0010] In one aspect, the maintenance data includes any one of a maintenance work history, diagnostic data by the maintenance worker, image data of each device, audio 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 aspect, more appropriate maintenance proposals can be made using past maintenance data such as a maintenance work history performed on each device of the heat source equipment, diagnostic data by the worker, image data, and audio data.

[0011] In one aspect, the maintenance proposal unit is configured to identify maintenance and inspection items for each of the devices based on the design specification data and the maintenance-related data or the continuous operation data, and to select maintenance proposal data using a data table or generate the maintenance proposal data according to a trained model obtained by continuously training the maintenance-related data and the continuous operation data. According to this aspect, it is possible to identify maintenance and inspection items for each device of the heat source equipment based on the design specification data, the maintenance-related data, and the continuous operation data, and to make maintenance proposals.

[0012] In one aspect, the maintenance proposal data is configured to include data on the content of the maintenance and data on the cost required for the maintenance. According to this aspect, it is possible to provide the user with a maintenance proposal that includes the cost required for the maintenance.

[0013] In one aspect, the maintenance proposal data is configured to include an optimal operation simulation of the heat source equipment. According to this aspect, maintenance inspection items for each device of the heat source equipment can be identified based on the design specification data, maintenance-related data, and continuous operation data, and multiple maintenance proposals, including the costs required for maintenance, such as part replacement, overhaul, and optimal operation simulation, can be made to the user. [Effects of the Invention]

[0014] According to the present invention, a heat source equipment maintenance support system can be provided that makes maintenance suggestions taking into account the actual usage of each device that makes up the heat source equipment, thereby optimizing the overall operation of the heat source equipment. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is an overall configuration diagram illustrating the configuration of a heat source equipment maintenance support system 1 according to an embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram for explaining the configurations of a maintenance-related data storage unit 11, a data collection unit 12, and a maintenance suggestion unit 13, and details of data generation. [Figure 3] 10 is a flowchart illustrating an example of data analysis in a data analysis unit 13A. [Figure 4] This is an example of various judgment and analysis items related to the analysis of the causes of cooling tower deterioration. [Figure 5] 10 is an example of diagnostic data generated during maintenance work. [Figure 6] 10 is an example of a maintenance proposal screen generated by the maintenance proposal unit 13 and displayed on a display or the like. [Figure 7] 10 is an example of an estimate screen displayed when an estimate screen button is pressed. [Figure 8] 10 is a flowchart illustrating generation and display of optimal driving simulation data. [Figure 9] 10 is an example of a display screen for explaining generation and display of optimal driving simulation data. DETAILED DESCRIPTION OF THE INVENTION

[0016] Hereinafter, the present embodiment will be described with reference to the accompanying drawings. In the accompanying drawings, functionally identical elements may be designated by the same numerals. Note that the accompanying drawings show embodiments and implementation examples according to the principles of the present disclosure, but these are for understanding the present disclosure and are not to be used to interpret the present disclosure in a limiting manner. The descriptions in this specification are merely typical examples and are not intended to limit the scope or application of the present disclosure in any way.

[0017] Although the present embodiment has been described in sufficient detail to enable those skilled in the art to practice the present disclosure, it should be understood that other implementations and forms are possible, and that changes in configuration and structure and substitutions of various elements are possible without departing from the scope and spirit of the technical ideas of the present disclosure. Therefore, the following description should not be interpreted as being limited thereto.

[0018] The configuration of a heat source equipment maintenance support system 1 according to an embodiment of the present invention will be described with reference to Fig. 1. This heat source equipment maintenance support system 1 is generally configured to include a data server 10, 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, the control panel 30, the sensor repeater 50, and the management computer 60 are connected to each other so as to be able to communicate with each other via a network NW, such as the Internet or a LAN (Local Area Network).

[0019] The heat source equipment maintenance support system 1 stores design specification data (e.g., design temperature, capacity, number of units, BOM data, etc.) at the time of delivery of each device constituting the heat source equipment 20, maintenance-related data regarding maintenance that has been performed (or is scheduled to be performed), and also acquires data regarding operation (continuous operation data) obtained while the equipment is continuously operating from the time of delivery (start of operation).The heat source equipment maintenance support system 1 comprehensively analyzes this data, and generates and outputs maintenance proposal data regarding proposals for maintenance of the heat source equipment 20.

[0020] The data server 10 holds various data for managing and controlling the heat source equipment 20. The heat source equipment 20 to be controlled includes, for example, a turbo chiller, an absorption chiller / heater, a cooling tower, a pump, etc., but is not limited to a specific one. The heat source equipment maintenance support system 1 of this embodiment collects data according to the configuration of the heat source equipment 20 to be controlled / managed, and generates and outputs maintenance proposal data for the heat source equipment 20.

[0021] A control panel 30 is provided as a computer that executes integrated control of the heat source equipment 20. The control panel 30 outputs various voltages, communication signals, or control signals for controlling the heat source equipment 20, and receives feedback signals indicating the operation of the heat source equipment 20. It also includes a communication unit (not shown), and is connected to a network NW to transmit and receive various data to and from the data server 10.

[0022] The sensor group 40 measures various physical quantities (gas flow rate, current, voltage, power, temperature, humidity, sound, pressure, vibration, odor, water quality, solution components, dust amount, etc.) in and around the heat source equipment 20 and outputs corresponding measurement signals. The acquired measurement signals are appropriately converted into digital values ​​and output to, for example, the sensor repeater 50, and are used for control in the control panel 30. They are also collected in the data server 10 and used to generate maintenance proposal data.

[0023] The data server 10 and / or the management computer 60 are provided with, for example, a data storage unit 11, a data collection unit 12, a maintenance proposal unit 13, and a display control unit 14, using a management program stored therein. The data storage unit 11 may further include a design specification data storage unit 11A, a maintenance-related data storage unit 11B, and a continuous operation data storage unit 11C. The data storage unit 11, the data collection unit 12, the maintenance proposal unit 13, the display control unit 14, etc. may be configured by an external computer other than the data server 10 or the management computer 60.

[0024] The design specification data storage unit 11A stores design specification data (for example, design data, use information, product capacity, number of units, component data, delivery date, customer data, installation location data, etc.) at the time of delivery of the heat source equipment 20.

[0025] On the other hand, the maintenance-related data storage unit 11B stores maintenance-related data relating to maintenance that has been performed (or is scheduled to be performed) on the heat source equipment 20.

[0026] The data collection unit 12 collects continuous operation data obtained by continuous operation of the heat source equipment 20. The continuous operation data can be used together with the maintenance-related data to generate maintenance proposal data. The continuous operation data is stored in the continuous operation data storage unit 11C. The continuous operation data includes, for example, the outside air temperature, wet-bulb temperature, dry-bulb temperature, weather data, cooling tower-side flow rate, fan current value, cooling tower-side cooling water inlet / outlet temperatures, chiller-side cooling water inlet / outlet temperatures, chiller-side power consumption, cooling tower-side power consumption, fuel consumption, chiller-side cooling water set temperature, etc. of the heat source equipment 20 during the continuous operation period.

[0027] The maintenance proposal unit 13 analyzes the above-mentioned design specification data, maintenance-related data, and continuous operation data to generate maintenance proposal data that proposes maintenance of the heat source equipment 20. The display control unit 14 executes display control to display the generated maintenance proposal data on, for example, the display of the management computer 60.

[0028] Next, details of the configurations 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 with reference to Fig. 2. As described 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 continuous operation data storage unit 11C.

[0029] The design specification data storage unit 11A is a storage device that stores design specification data of each device in the heat source equipment 20, which is used for generating maintenance proposal data. As an example, the design specification data storage unit 11A stores design specification data (e.g., design data, usage information, product capacity, number of units, component part data, delivery date, customer data, installation location data, etc.) at the time of delivery of the heat source equipment 20.

[0030] First, the maintenance-related data may include maintenance data (in the narrow sense) obtained by maintenance work. The maintenance data may include maintenance work history data (including, for example, part replacement details, cleaning details, inspection details, etc.), diagnostic data by maintenance workers, image data, audio data, vibration data, odor analysis data, water quality analysis data, solution analysis data, image data of the surrounding environment, etc., or image data, audio data, vibration data, odor analysis data, water quality analysis data, solution analysis data, image data of the surrounding environment, etc. obtained from the sensor group 40 or the like for each device in the heat source equipment 20. Which of these to include can be selected as appropriate, and the combination is not limited to a specific one.

[0031] Furthermore, the maintenance-related data may further include weather data around the installation location of the heat source equipment 20 at the time of maintenance work. The weather data may be extracted from the Internet or the like, or may be obtained by a weather observation sensor included in the sensor group 40.

[0032] Furthermore, in addition to the narrowly defined maintenance data described above, the maintenance-related data can also include specific-period operation data extracted from a portion of the continuous operation data (for example, data at the time of delivery (initial operation start), operation data for a certain period after overhaul, operation data during periods of high load, data for specific periods such as data for each year since operation). This makes it possible to determine the deterioration of the heat source equipment 20 over time and changes in usage conditions by, for example, comparing operation data for one year from delivery with operation data ten years after delivery, or by comparing operation data for each year from July to September when the cooling load is high. However, this is just one example, and the maintenance-related data may be any data related to maintenance, and its configuration can be modified as appropriate according to various conditions.

[0033] The maintenance proposal unit 13 generates maintenance proposal data based on the design specification data, maintenance-related data, and continuous operation data, and may include, for example, a data analysis unit 13A and a maintenance proposal data generation unit 13B.

[0034] The data analysis unit 13A may further include a maintenance inspection item identification unit 131, a maintenance data table selection unit 132, a maintenance data generation unit 133, and a maintenance cost calculation unit .

[0035] The maintenance and inspection item identification unit 131 is a part that identifies maintenance and inspection items to be the subject of data analysis among the maintenance and inspection items that can be performed during maintenance work. Maintenance and inspection items can be identified based on the design specification data of the heat source equipment 20 and the maintenance-related data or continuous operation data of the heat source equipment 20. Candidates for items to be the maintenance and inspection items of the devices and parts that make up the heat source equipment 20 are determined from the design specification data, and further, the maintenance and inspection items can be selected according to the maintenance content indicated by the maintenance-related data and the operating status indicated by the continuous operation data. Note that it is also possible to omit the identification in the maintenance and inspection item identification unit 131 and subject all maintenance and inspection items included in the maintenance-related data to data analysis.

[0036] The maintenance data table selection unit 132 is a unit that selects a maintenance data table for generating maintenance proposal data. The maintenance data generation unit 133 is a unit that generates maintenance data to be included in the maintenance proposal data according to the results of analyzing various data. The maintenance data generation unit 133 may generate maintenance data by referring to a data table, or may generate a trained model based on machine learning, deep learning, or the like, and analyze the various data obtained according to the trained model to generate the maintenance proposal data. The maintenance cost calculation unit 134 calculates the cost of maintenance according to the generated maintenance proposal data.

[0037] The maintenance proposal data generation unit 13B processes the maintenance data generated as a result of the analysis by the data analysis unit 13A to generate various maintenance proposal data (A to C). The maintenance proposal data A to C can, for example, propose updating to a new device if the device has been in use for a long time and its efficiency has decreased, or propose an overhaul to refresh the device by replacing multiple major parts, or propose multiple maintenance options such as replacing specific consumable parts, and by displaying the maintenance costs for each option, the data can be differentiated in terms of content. When multiple maintenance proposal data are generated, all of them can be displayed on a display or the like, or it can selectively display only the maintenance proposal data that is expected to best meet the customer's needs in light of customer characteristic data, etc.

[0038] The maintenance proposal data generation unit 13B generates maintenance cost data (cost of replacement parts, labor costs, transportation costs, miscellaneous expenses, etc.) corresponding to the generated maintenance proposal data. As will be described later, when the maintenance proposal data is presented on a display or the like, the maintenance cost data is used to display an estimate screen in accordance with a user's instruction.

[0039] The maintenance proposal data generation unit 13B generates optimal operation simulation data in addition to the maintenance proposal data and maintenance cost data. The optimal operation simulation data is simulation data for optimal operation for the user of the target heat source equipment 20, and is presented together with or separately from the maintenance proposal data. By presenting the optimal operation simulation data, it can be expected that maintenance will be carried out appropriately and that the energy efficiency of the heat source equipment 20 as a whole will be optimized. As will be described later, the optimal operation simulation data will have content that matches the items that the user considers important (such as reducing electricity bills, reducing CO2, prioritizing the use of selected equipment, etc.).

[0040] An example of data analysis in data analysis unit 13A will be described with reference to Fig. 3. Here, a procedure for analyzing the degree of deterioration and the cause of deterioration of a cooling tower in heat source equipment 20 will be described. The degree of deterioration and the cause, etc. of devices other than cooling towers can also be analyzed using a similar procedure.

[0041] For example, as shown in FIG. 9, in a heat source facility 20, a cooling water pump sends 32°C cooling water from a cooling tower to a chiller, and the chiller sends 37°C cooling water to the cooling tower. If the temperature of the cooling water sent from the cooling tower to the chiller exceeds 32°C for some reason, a chiller-side pre-alarm for a rise in cooling water temperature is triggered. If the number of pre-alarms for a rise in cooling water temperature exceeds a predetermined number within a predetermined period, the cause is determined to be the cooling tower, and a cooling tower deterioration analysis is initiated. FIG. 4 shows an example of various judgment and analysis items for the cooling tower deterioration analysis (step S11). 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 the set value. If the temperature difference is small, a clogged filler is identified. Furthermore, if water quality management and cleaning history are not performed regularly, the water quality deteriorates, causing slime, scale, and algae to adhere, leading to a determination that a clogged filler is the cause. From the analysis results, a maintenance menu proposing cleaning of the cooling tower is selected or generated (step S12). The order of these judgment and analysis processes is not limited to the order shown in FIG. 4, and they may be performed in any order or simultaneously. Alternatively, the screen of FIG. 4 may be displayed on the display of the management computer 60, for example, and the administrator (user) may select an item by specifying the item they want to select, for example, in a selection field. FIG. 4 is an example and is not limiting. Once the selection of judgment and analysis items is complete, selection data is generated according to the selection content.

[0042] Next, the status (e.g., the time elapsed since the most recent replacement) of the cooling tower's components (belt, ball tap, fan, filler, etc.) is determined according to the maintenance-related data, and if the determination conditions are met, a replacement menu suggestion for the component is selected (steps S13 to S22). According to the determination and selection in steps S13 to S22, a maintenance suggestion screen for the cooling tower is generated and displayed (step S23).

[0043] An example of diagnostic data generated by a worker during maintenance work will be described with reference to FIG. 5. The diagnostic data in FIG. 5 is an input screen for diagnostic data related to, for example, a cooling tower. The worker inputs the results of the diagnosis into an input field among the inspection items. In the example of FIG. 5, for example, for the filler, the presence or absence of scale (deposits), the adhesion rate (adhesion %), the degree of deformation of the filler, the degree of clogging, whether cleaning has been performed, and the recommended replacement time (e.g., within the next three years) are input in input box B1. Also, for the fan belt, the presence or absence of wear, the tension, the damage rate (damage %) of the belt rubber, whether cleaning has been performed, and the recommended replacement time are input. Note that if image or audio data is obtained during the maintenance work, files of such data can be attached to attachment box B2. A trained model can be generated based on machine learning or deep learning using this image data and audio data, and various data obtained according to the trained model can be analyzed and input as diagnostic data. For example, by installing a recording device in a position where it can record the mechanical sounds of various heat source equipment, periodically acquiring audio data, and learning normal and abnormal data, a maintenance menu (inspection) can be generated when an abnormal sound occurs. Also, by periodically acquiring thermal imaging data of various heat source equipment using a thermograph and learning normal and abnormal data, a maintenance menu (inspection) can be generated when an abnormal area is found.

[0044] As shown in the lower part of Figure 5, for cooling towers, various characteristics of the cooling water introduced (circulating water circulating within the equipment and make-up water to replenish evaporated water) are measured, and the measurement results are input and used as diagnostic data. For example, various measured values ​​(pH, electrical conductivity, chloride ion amount, sulfate ion amount, acid consumption amount, total hardness, calcium hardness, ionic silica amount, iron amount, copper amount, sulfide ion amount, ammonium ion amount, residual chlorine concentration, free carbonate concentration) are measured and input for each of the circulating water and make-up water.

[0045] FIG. 6 is an example of a maintenance proposal screen generated by the maintenance proposal unit 13 and displayed on a display or the like. The maintenance proposal screen may include, for example, a display field C1 for a message indicating that a pre-alarm or error has occurred, a display field C2 for the results of an analysis (guessing) of the cause of the pre-alarm or error, and a display field C3 for various maintenance proposals (1 to 4). Near the display field for each maintenance proposal, various buttons C4 (quotation screens 1 to 3) are displayed for displaying an estimate of the costs required if the maintenance proposal is carried out. Furthermore, in the maintenance proposal (e.g., proposal 4), in addition to various maintenance proposals, recommended operation details (optimal operation control) for future operation of the heat source equipment 20 are presented, and a button (optimal operation screen) for displaying the details is displayed nearby.

[0046] FIG. 7 shows an example of an estimate screen that is displayed when the estimate screen button is pressed. The estimate screen displays a display field C5 that lists the name of the part recommended for replacement, its unit price, delivery date, and number of units. Also provided is a display field C6 that lists the labor cost, parts cost, transportation cost, consumables cost, tool rental, and other expenses for the maintenance. The estimate screen also includes a group of buttons C7 that displays a maintenance proposal, a button for outputting (printing) the estimate, a button for displaying a screen for ordering work and scheduling, and a button for returning to the maintenance proposal screen (FIG. 6). In the example of FIG. 7, a check box C8 is displayed next to the display field C5 that displays the name of the part recommended for replacement, allowing the user to select whether to add the part to the estimate. The selected part is included in the estimate. The check box can be omitted.

[0047] 8 and 9, the generation of optimal operation simulation data and an example of an optimal operation screen showing the data will be described. The optimal operation simulation data is intended to indicate the optimal operation of the heat source equipment 20 to the manager (user) of the heat source equipment 20 as part of a maintenance proposal. Here, "optimal operation" refers to, for example, operation that is highly satisfactory from the manager's (user's) perspective, and that comprehensively satisfies factors such as reduced electricity costs, reduced CO2 emissions, prioritized use of equipment selected from among the equipment included in the heat source equipment 20, and other judgment factors (longer life, minimized maintenance frequency, etc.). Which judgment factors are emphasized varies depending on the manager (user), and the heat source equipment maintenance support system 1 generates optimal operation simulation data by increasing the weight of the judgment factors that are emphasized.

[0048] FIG. 8 is a flowchart showing the procedure for generating optimal operation simulation data. In generating optimal operation simulation data, first, it is determined which decision factor the manager (user) of the heat source equipment 20 considers important (gives priority to). In this flowchart, it is determined which of the following will be the priority decision factor: reducing electricity costs (step S31), reducing CO2 emissions (step S33), or prioritizing the use of selected equipment (step S35). If a priority decision factor has been determined (Yes), an operation control that prioritizes that decision factor is proposed as the optimal operation control (steps S32, S34, and S36). If it is determined that none of the factors is a priority decision factor, a "load balancing operation control" that controls the heat source equipment 20 so that the loads on the devices that make up the heat source equipment 20 are uniform is proposed as the optimal operation control (step S37). The priority decision factor may be stored in advance as "customer data" in the data storage unit 11 of the data server 10, or may be input by the manager (user) when generating the optimal operation simulation data.

[0049] Once the optimal operation control is set in this way, it is determined whether or not to execute the set optimal operation control (step S38). If it is determined to execute it (Yes), the optimal operation control selected by the administrator (user) in steps S31 to S37 is executed (step S39), and an optimal operation screen according to the selection is displayed (step S40). On the other hand, if it is determined in step S38 that the set optimal operation control is not to be executed (No), the optimal operation screen is displayed as a proposed screen without executing the optimal operation control.

[0050] FIG. 9 shows an example of an optimal operation screen. This optimal operation screen may include a graphic C11 showing the configuration and operating status (e.g., the temperature of cooling water, etc.) of the heat source equipment 20, a display field C12 showing the load status of each device included in the heat source equipment 20, and a display field C13 showing the current power consumption and the power consumption during optimal operation. If the administrator (user) views the optimal operation screen and desires the optimal operation shown on the screen, they can press the "Request Optimal Operation" button C14 at the bottom right. When the "Request Optimal Operation" button C14 is pressed, it is stored in the data server 10 as part of the customer data, and the control panel 30 subsequently performs optimal operation control of the heat source equipment 20 according to this data. As shown in FIG. 9, the display field C12 may also include a priority selection field for resetting the priority operation of each device.

[0051] According to the heat source equipment maintenance support system 1 of this embodiment, maintenance proposal data is generated and presented by referring to the design specification data of the heat source equipment 20, maintenance data related to maintenance that has been performed (or is scheduled to be performed), and continued operation data obtained during the continued operation of the heat source equipment 20. When maintenance is performed according to the design specification data, there are cases where the initial output cannot be obtained even after maintenance is performed due to changes in the usage status of the heat source equipment 20, deterioration over time, etc. According to this embodiment, by comprehensively analyzing the design specification data, maintenance data, and continued operation data, it is possible to make maintenance proposals that take into account changes in usage status, deterioration over time, etc. This optimizes the energy efficiency of the heat source equipment 20, reduces energy consumption, and cuts running costs.

[0052] Furthermore, the chillers, cooling towers, cooling water pumps, and chilled water pumps that make up the heat source equipment 20, such as turbo chillers and absorption chiller-heaters, all affect each other. It is well known that lowering the temperature of the cooling water from the cooling tower improves the efficiency of the chillers, and that lowering the cooling water flow rate reduces the power required to transport the cooling water pump, but increases the chiller's power consumption. The present invention takes into account the actual usage of each device that makes up the heat source equipment 20, proposes multiple maintenance plans, and performs optimal operation of the heat source equipment 20 according to the user's selection, thereby optimizing the total maintenance costs and energy efficiency of the heat source equipment 20 as desired by the user.

[0053] [others] The present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations. [Explanation of symbols]

[0054] 1. Heat source equipment maintenance support system 10...Data server 11...Data storage unit 11A...Design specification data storage section 11B...Maintenance related data storage section 11C...Continuous operation data storage section 12...Data collection section 13...Maintenance Proposal Department 13A…Data Analysis Department 13B...Maintenance proposal data generation unit 14...Display control unit 20…Heat source equipment 30...Control panel 40...Sensor group 50...Sensor repeater 60...Administrative computer 131...Maintenance and inspection item specification section 132...Maintenance data table selection section 133...Maintenance data generation unit 134...Maintenance cost calculation section NW...Network

Claims

1. A heat source equipment maintenance support system for managing heat source equipment, A storage unit that stores design specification data and maintenance-related data for each device of the heat source facility; a data collection unit that collects continuous operation data related to the continuous operation status of the heat source equipment and stores the data in the storage unit; a maintenance proposal unit that analyzes the design specification data, the maintenance-related data, and the continuous operation data and proposes maintenance of the heat source equipment; A heat source equipment maintenance support system equipped with the above.

2. The heat source equipment maintenance support system of claim 1, wherein the maintenance-related data includes specific period operating data consisting of a portion of continuous operating data at the time of delivery of each device of the heat source equipment or at a specific period after delivery.

3. The heat source equipment maintenance support system according to claim 1 , wherein the maintenance-related data includes maintenance data obtained when maintenance of the heat source equipment is performed.

4. The heat source equipment maintenance support system of claim 3, wherein the maintenance data includes any of maintenance work history, diagnostic data by the maintenance worker, image data of each of the devices, audio data, vibration data, odor analysis data, water quality analysis data, solution analysis data, image data of the surrounding environment, and weather data.

5. The maintenance suggestion unit Identifying maintenance and inspection items for each of the devices based on the design specification data and the maintenance-related data or the continuous operation data, and selecting maintenance proposal data from a data table; or The heat source equipment maintenance support system of claim 1, wherein the maintenance proposal data is generated according to a trained model obtained by continuously learning the maintenance-related data and the continuous operation data.

6. The heat source equipment maintenance support system according to claim 5 , wherein the maintenance proposal data includes data on the content of the maintenance and data on costs required for the maintenance.

7. The heat source equipment maintenance support system according to claim 5 , wherein the maintenance proposal data includes an optimal operation simulation of the heat source equipment.

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