Deterioration determination method and device
The method addresses the issue of external disturbances affecting refrigeration equipment deterioration assessments by analyzing power consumption and ambient temperature correlations, enabling accurate deterioration determination.
Patent Information
- Application Number
- JP2021098790
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2021-06-14
- Publication Date
- 2025-04-11
- Estimated Expiration
- 2041-06-14
AI Technical Summary
Existing methods for determining the deterioration of refrigeration equipment fail to accurately account for external disturbances other than temperature, leading to incorrect deterioration assessments.
A method and device that extract data on power consumption and ambient temperature during operation modes with reduced power consumption, calculate correlation curves between power consumption and ambient temperature, and determine equipment deterioration based on the differences in these curves, thereby excluding the influence of external disturbances.
This approach allows for accurate determination of equipment deterioration by isolating the impact of external disturbances, ensuring that increases in power consumption due to aging are correctly identified.
Smart Images

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Abstract
Description
[Technical field]
[0001] The present invention relates to a deterioration determination method and device for a freezing / refrigeration equipment that cools the inside of a box-shaped housing. More specifically, the present invention relates to a deterioration determination method and device for determining deterioration of the equipment based on power consumption data of the freezing / refrigeration equipment and temperature data outside the equipment. [Background technology]
[0002] Examples of equipment that cools a certain target space and controls the temperature of the target space to a constant include refrigeration and freezing equipment and air conditioning equipment. It is known that the amount of electricity consumed by such equipment increases as the equipment deteriorates over time. This increase in electricity consumption results in higher electricity bills for users of the equipment. From the perspective of reducing electricity bills, it is important to understand the state of deterioration of the equipment over time in order to consider maintaining or replacing the equipment.
[0003] Therefore, it is known to judge the deterioration of equipment based on the operation status of the equipment (see Patent Document 1).
[0004] A deterioration determining device 101 described in Patent Document 1 is shown in FIG.
[0005] This deterioration determination device 101 includes a power consumption storage unit 111, a first change curve change rate calculation unit 112, a second change curve change rate calculation unit 113, a reference data setting unit 114, and a deterioration degree calculation unit 115. The first change curve change rate calculation unit 112 calculates the change rate between each predetermined time for a first change curve, which is a change curve of the reference power consumption of the air conditioner acquired at each predetermined time. The second change curve change rate calculation unit 113 calculates the change rate between each predetermined time for a second change curve, which is a change curve of the judgment power consumption of the air conditioner acquired at each predetermined time. The reference data setting unit 114 acquires a curve, among the first change curves, whose difference from the second change curve is within a predetermined range based on the change rate between each predetermined time, and sets the reference power consumption having the first change curve as reference data. The deterioration degree calculation unit 115 calculates the deterioration degree of the air conditioner based on the difference between the reference data and the judgment power consumption. [Prior art documents] [Patent documents]
[0006] [Patent Document 1] JP 2009-20721 A Summary of the Invention [Problem to be solved by the invention]
[0007] However, in the above conventional deterioration determination method, although the influence of the outside temperature is taken into consideration, there are cases where other disturbances are significant. In such cases, the deterioration degree of the equipment cannot be determined correctly. For example, in a freezing / refrigerating equipment, the temperature inside the equipment rises due to the opening of the door, which is an example of a disturbance, and the power consumption increases in order to temporarily cool the inside of the equipment. In such a case, even if the freezing / refrigerating equipment has not deteriorated over time, the power consumption increases, so that the deterioration determination method described in Patent Document 1 may erroneously determine that the equipment has deteriorated.
[0008] In consideration of these points, the present invention aims to provide a deterioration determination method and device that can accurately determine the deterioration of equipment while excluding increases in power consumption due to external disturbances that change the temperature inside a box-shaped housing. [Means for solving the problem]
[0009] In order to solve the above problems, a deterioration determination method according to one aspect of the present invention includes: A deterioration determination method for determining deterioration of a cooling device that cools an inside of a box-shaped housing, comprising: The data extraction section Deterioration determination criterion data before the deterioration determination is determined from data on the power consumption of the equipment and the ambient temperature of a heat exchanger that discharges heat to the outside of the equipment, which are acquired at each predetermined time or at each predetermined time. And data on reducing the effects of disturbances other than the outside temperature The data of the power consumption and the ambient temperature when the operation state of the equipment is in an operation mode in which the equipment is operated with less power consumption than usual is extracted as determination data. And data on reducing the effects of disturbances other than the outside temperatureextracting data on the power consumption and the ambient temperature when the equipment is in an operation mode in which the equipment is operating with reduced power consumption compared to normal; The correlation curve calculation unit calculates the correlation curve using the data extraction unit. The extracted deterioration judgment criteria data From before A correlation curve between the power consumption and the ambient temperature is calculated, and the judgment data is From before Calculating a correlation curve between the power consumption and the ambient temperature; The deterioration determination unit Based on the difference between the correlation curve of the deterioration judgment reference data and the correlation curve of the judgment data, By using the data on the reduction of the influence of disturbances other than the outside temperature, other than the data during the normal operation mode in which the operation state of the equipment is normal, , and determine the deterioration of the equipment.
[0010] In order to solve the above problem, a deterioration determination device according to another aspect of the present invention includes: A deterioration determination device for determining deterioration of a cooling facility that cools an inside of a box-shaped housing, comprising: Deterioration determination criterion data before the deterioration determination is determined from data on the power consumption of the equipment and the ambient temperature of a heat exchanger that discharges heat to the outside of the equipment, which are acquired at each predetermined time or at each predetermined time. And data on reducing the effects of disturbances other than the outside temperature The data of the power consumption and the ambient temperature when the operation state of the equipment is in an operation mode in which the equipment is operated with less power consumption than usual is extracted as determination data. And data on reducing the effects of disturbances other than the outside temperature a data extraction unit that extracts data on the power consumption and the ambient temperature when the operating state of the equipment is in an operation mode in which the equipment operates with less power consumption than normal; The deterioration determination reference data extracted by the data extraction unit From before A correlation curve between the power consumption and the ambient temperature is calculated, and the judgment data is From before a correlation curve calculation unit that calculates a correlation curve between the power consumption amount and the ambient temperature; Based on the difference between the correlation curve of the deterioration judgment reference data and the correlation curve of the judgment data, which are respectively calculated by the correlation curve calculation unit, By using the data on the reduction of the influence of disturbances other than the outside temperature, other than the data during the normal operation mode in which the operation state of the equipment is normal, and a deterioration determination unit that determines deterioration of the facility. Effect of the Invention
[0011] According to the deterioration determination method and device of the above aspect of the present invention, it is possible to exclude an increase in power consumption due to external disturbances that change the temperature inside the box-shaped housing, and by understanding the increase in power consumption due to deterioration over time, it is possible to correctly determine the deterioration of the equipment. [Brief description of the drawings]
[0012] [Figure 1] FIG. 1 is an overall configuration diagram of a refrigeration and freezing system according to a first embodiment of the present invention. [Diagram 2] 10 is a flowchart showing the flow of processing performed by the deterioration determining device according to the first embodiment of the present invention. [Diagram 3] FIG. 1 is an explanatory diagram of the transition of the amount of power consumption of a freezing / refrigeration system according to the first embodiment of the present invention. [Figure 4] FIG. 2 is an explanatory diagram of the processing contents of the deterioration determination device according to the first embodiment of the present invention; [Diagram 5] FIG. 1 is an overall configuration diagram of a freezing and refrigeration system according to a second embodiment of the present invention. [Figure 6] FIG. 1 is an overall configuration diagram of a freezing and refrigeration system according to a third embodiment of the present invention. [Figure 7] Overall configuration diagram of a conventional deterioration determination device DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0013] [Embodiment 1] Hereinafter, the deterioration determination devices 1, 1B, and 1C according to the embodiments of the present invention will be described in detail with reference to the drawings. The same or corresponding parts in the drawings are given the same reference numerals and their description will not be repeated. Note that, in order to make the description easier to understand, the drawings referred to below show the configurations in a simplified or schematic manner, and some of the components are omitted.
[0014] [composition] First, the configuration of the deterioration determining device 1 according to the first embodiment will be described.
[0015] FIG. 1 is a schematic diagram showing the configuration of a deterioration determination device 1 according to a first embodiment of the present invention. In the first embodiment, as an example, a case will be described in which deterioration is determined by the deterioration determination device 1 for cooling equipment, such as freezing and refrigeration equipment 60a, of one or more separate-type freezing and refrigeration showcases 60 in which the outdoor unit and the indoor unit are installed in separate locations and which are installed in food sales stores such as food supermarkets or convenience stores. In the deterioration determination, when there are multiple pieces of equipment 60a, determination processes such as data acquisition, extraction, calculation, and determination are performed for each piece of equipment 60a. The freezing and refrigeration showcase 60 is an example of a box-shaped housing that is a cooling chamber.
[0016] The deterioration determining device 1 includes at least a data extracting section 12, a correlation curve calculating section 13, and a deterioration determining section 14. The deterioration determining device 1 is disposed, for example, in a freezing / refrigerating equipment 60a.
[0017] The data extraction unit 12 extracts data from data that holds the amount of power consumption of the equipment 60a and the ambient temperature of the heat exchanger 60b that discharges heat outside the equipment 60a, each acquired at a specified time or at specified times, for use as deterioration determination reference data prior to the time of deterioration determination, and extracts data from the operation mode in which the equipment 60a operates with less power consumption than normal, for use as determination data.
[0018] Here, the power consumption of the equipment 60a acquired at every predetermined time (e.g. 30 minutes) or every predetermined time (1:00, 2:00, 3:00, . . ., 11:00, 24:00) is measured and acquired by a power meter 81 attached to the equipment 60a, and is stored, together with the measurement time, in, for example, the equipment database 50 in the equipment 60a. That is, in the equipment database 50, the power consumption of the equipment 60a of the freezer / refrigerator showcase 60 measured by the power meter 81 at every predetermined time or every predetermined time and the measurement time are stored as data. In addition, the equipment database 50 also stores the state of the operation mode of the equipment 60a at the measurement time, such as normal operation, energy saving operation, or power operation (e.g. operation at maximum power for quick cooling), etc.
[0019] The ambient temperature of the heat exchanger 60b that discharges heat to the outside of the equipment 60a is measured and acquired by a temperature sensor 80 arranged around the heat exchanger 60b, and is stored in the temperature database 70. The ambient temperature may be measured continuously, or may be measured every predetermined time or at every predetermined time or at each of the measurement times. The temperature database 70 stores the ambient temperature of the heat exchanger 60b that discharges heat to the outside of the freezer / refrigerator showcase 60, that is, the temperature around the outdoor unit, measured by the temperature sensor 80, for example, every predetermined time or at every predetermined time.
[0020] Although described in more detail below, the correlation curve calculation unit 13 calculates a correlation curve between the power consumption and the ambient temperature from the power consumption and the ambient temperature of the deterioration judgment reference data respectively extracted by the data extraction unit 12, and also calculates a correlation curve between the power consumption and the ambient temperature from the power consumption and the ambient temperature of the judgment data.
[0021] Although details will be described later, the deterioration determining unit 14 determines the deterioration of the equipment 60a based on the difference between the correlation curve of the deterioration determination reference data calculated and obtained by the correlation curve calculation unit 13 and the correlation curve of the determination data.
[0022] The deterioration determination device 1 may further be provided with an equipment database 50 and a temperature database 70, or all or part of these databases may be provided external to the deterioration determination device 1 and may be made accessible to the deterioration determination device 1 via a network or the like.
[0023] As an example of the deterioration determination device 1, it functions as a device that determines deterioration of the equipment 60a of the freezer / refrigerator showcase, using a correlation curve calculation unit 13 and a deterioration determination unit 14, based on information on the power consumption and operation mode of the equipment 60a of the separate type freezer / refrigerator showcase 60 stored in the equipment database 50, and information on the ambient temperature around the outdoor unit of the equipment 60a of the freezer / refrigerator showcase 60 stored in the temperature database 70. This function will be described in more detail below.
[0024] Here, as an item to be considered when determining deterioration, the ambient temperature around the heat exchanger is exemplified as the outside air temperature. Disturbances other than the outside air temperature include factors that affect the temperature inside the housing of the freezer / refrigerator showcase 60. As such disturbances, for example, opening and closing the door of the freezer / refrigerator showcase 60, or storing new items inside the housing of the freezer / refrigerator showcase 60, increase the amount of power consumption, which becomes a disturbance and affects the deterioration determination of the equipment 60a. These will be described in the second and third embodiments.
[0025] Next, each of the components of the deterioration determining device 1 for the freezer / refrigerator showcase 60 will be described in more detail.
[0026] The deterioration determining device 1 may further include an input unit 11.
[0027] The input unit 11 is a part that specifies the target equipment 60a for which deterioration judgment is to be performed, the deterioration judgment standard period for comparing deterioration, and the judgment period for judging deterioration, and inputs them to the data extraction unit 12, and is composed of a keyboard, mouse, touch sensor, voice input device, etc. The input information is stored in the equipment database 50, for example. In this specification, the "standard" means a state in which the equipment 60a is not deteriorated. For example, the deterioration judgment standard period means a period such as the first year or six months after the equipment 60a is installed. The data extraction unit 12 is a part that extracts data that is less affected by disturbances other than the ambient temperature from data related to the power consumption, operation mode, and ambient temperature of the target equipment 60a during the deterioration criterion period and the judgment period from the data stored in the equipment database 50 and the temperature database 70, utilizing the state of the operation mode. Here, extracting data that is less affected by disturbances using the state of the operation mode means, for example, extraction of data during an operation mode in which the equipment 60a operates with less power consumption than normal. Data during the deterioration criterion period means deterioration criterion data, and data during the judgment period means judgment data. The correlation curve calculation unit 13 is a part that calculates a correlation curve between the power consumption and the ambient temperature for each period, for the power consumption and the ambient temperature for the deterioration judgment standard period and the judgment period extracted by the data extraction unit 12.
[0028] The deterioration determination unit 14 is a part that calculates the difference between the correlation curve of the deterioration determination reference data calculated by the correlation curve calculation unit 13 and the correlation curve of the determination data, and determines the deterioration, for example, the deterioration degree. Here, the deterioration degree means, for example, the degree of increased power consumption due to the deterioration of the equipment 60a. The deterioration degree can be obtained by calculating the difference between the power consumption at the time of determination and the power consumption at the reference time in a certain specified period.
[0029] [Operation] Next, a description will be given of an example of the operation of the deterioration determining device 1. The following description will be given with reference to FIG. 2 which shows an outline of the operation flow.
[0030] The power consumption, operation mode, and ambient temperature of the target equipment 60a for which deterioration judgment is to be performed are stored in the equipment database 50 and the temperature database 70 for each predetermined time or each predetermined hour. First, in the first step S10, the data extraction unit 12 acquires the deterioration judgment criterion period and judgment period of the target equipment 60a for which deterioration judgment is to be performed from the equipment database 50, which is specified by the input unit 11. As an example, for equipment 60a of a separate-type freezer / refrigerator showcase 60, an example of the judgment period is five months from January to May of a certain year, and an example of the deterioration judgment criterion period is five months from January to May two years prior to the year of the judgment period, and these periods are input from the input unit 11 to the data extraction unit 12 and specified, respectively.
[0031] Next, in step S20, for the target equipment 60a, the data extraction unit 12 acquires the power consumption, operation mode, and ambient temperature for each predetermined time or each predetermined hour in the deterioration judgment criterion period and judgment period specified by the input unit 11 from the equipment database 50 and the temperature database 70. As an example, it is assumed that the power consumption, operation mode, and ambient temperature for every 30 minutes are acquired by the data extraction unit 12. The data of the ambient temperature measured by the temperature sensor 80 is acquired by the data extraction unit 12.
[0032] Furthermore, in step S30, the data extraction unit 12 extracts the power consumption and the ambient temperature in the energy-saving operation mode from the equipment database 50 and the temperature database 70 among the power consumption, operation mode, and ambient temperature acquired in step S20. Here, the energy-saving operation mode refers to an operation mode in which the power consumption is reduced compared to the normal operation mode, and is also known as eco-driving.
[0033] As a specific example, the change in power consumption over two days is shown in Fig. 3. In Fig. 3, a section 91 of power consumption in normal operation mode of equipment 60a operated according to the inside temperature of freezer / refrigerator showcase 60 and a section 90 of power consumption in energy saving operation mode alternately occur. The inside temperature here refers to the temperature inside the housing of freezer / refrigerator showcase 60.
[0034] Furthermore, the time period for the normal operation mode corresponds to the business hours of the food store where the temperature inside the storage unit fluctuates greatly, and the time period for the energy saving operation mode corresponds to the closing time of the food store where the temperature inside the storage unit fluctuates little. In other words, during the time period for the energy saving operation mode, disturbances other than the outside temperature (e.g., movement of items in and out of the showcase or opening and closing of the door) are small. Therefore, by having the data extraction unit 12 extract the power consumption and the ambient temperature during the energy saving operation mode, the data extraction unit 12 can extract data that is less affected by disturbances other than the outside temperature.
[0035] Next, in step S40, correlation curves between the power consumption and the ambient temperature for the degradation reference period and the judgment period are calculated by the correlation curve calculation unit 13 from the data on the power consumption and the ambient temperature for each of the degradation reference period and the judgment period (i.e., the degradation reference data and the judgment data) extracted by the data extraction unit 12 in step S30. As an example, the correlation curves between the power consumption and the ambient temperature for each of the degradation reference period and the judgment period calculated by the correlation curve calculation unit 13 are shown in FIG.
[0036] Finally, in step S50, the deterioration judgment unit 14 calculates the difference between the plots of the correlation curve in the deterioration judgment reference period and the correlation curve in the judgment period, which are obtained by the correlation curve calculation unit 13, and judges the deterioration. For example, from the two correlation curves in Fig. 4, it can be judged that the equipment 60a is deteriorated if the amount of power consumption is approximately twice as much in the judgment period as in the deterioration judgment reference period, in other words, if the deterioration is twice as much. Alternatively, instead of such a deterioration judgment, for example, if the difference in the amount of power consumption exceeds a threshold value, it can be judged that the equipment 60a is deteriorated. As described above, according to the first embodiment, it is possible to judge how much the target equipment 60a has deteriorated during the judgment period, in comparison with the deterioration judgment reference period. That is, for the deterioration judgment reference data before the deterioration judgment time, the data extraction unit 12 extracts data on the power consumption and the ambient temperature when the equipment 60a is in an operation mode in which the equipment 60a operates with less power consumption than normal, and for the judgment data, the data extraction unit 12 extracts data on the power consumption and the ambient temperature when the equipment 60a is in an operation mode in which the equipment 60a operates with less power consumption than normal. By performing the calculation and judgment using the data extracted in this way, it is possible to exclude the increase in power consumption due to the influence of disturbances that change the temperature inside the box-shaped housing, and by accurately grasping the increase in power consumption due to aging, it is possible to correctly judge the deterioration of the equipment 60a.
[0037] In this embodiment 1, the power consumption, operation mode, and ambient temperature are used every 30 minutes as an example, but are not limited to this. Preferably, in order to reduce the load of data processing and to improve the accuracy of deterioration determination, an example of the predetermined time is every 10 to 30 minutes, or an example of the predetermined time is every hour on the hour, such as 1:00 and 2:00.
[0038] In the above example, the data extraction unit 12 extracts the energy saving operation mode, but the operation mode may be one in which the change in the temperature inside the refrigerator is small and which is close to the energy saving operation mode. Instead of acquiring information on the operation mode from the equipment 60a, if there is a section in the power consumption data where the average power consumption is lower than a threshold, that section can be acquired as a section in the energy saving operation mode.
[0039] [Embodiment 2] In the deterioration determination device 1B according to the second embodiment, the deterioration determination device 1 may be configured by providing a first data correction unit 15 between the data extraction unit 12 and the correlation curve calculation unit 13, as shown in FIG.
[0040] The first data correction unit 15 can reduce the influence of the rise in temperature inside the separate-type refrigerated / freezer showcase 60 caused by the defrosting operation by excluding data on the power consumption and ambient temperature extracted by the data extraction unit 12, even in the energy saving operation mode. Whether or not the defrosting operation is in progress is determined based on whether or not the operation mode is designated as the defrosting operation mode, or whether or not the operation mode has shifted to the defrosting operation mode based on a change in the power consumption.
[0041] According to the second embodiment, in addition to the same effects as those of the first embodiment, by excluding data on the increase in power consumption due to defrosting operation from the extracted power consumption, it is possible to extract only the power consumption due to deterioration over time, and to more accurately determine the deterioration.
[0042] [Embodiment 3] As shown in FIG. 6, the deterioration determination device 1C of embodiment 3 may be configured to form a deterioration determination device 1 by providing a second data correction unit 16 between the data extraction unit 12 and the correlation curve calculation unit 13 when determining the deterioration of a door-equipped refrigerated / freezer showcase 61.
[0043] The second data correction unit 16 further removes data on the open / closed door of the cooling room to which the equipment 60a is connected, for example the door of the freezer / refrigerator showcase 61, being open (i.e. data on an increase in power consumption due to the door being open) from the power consumption and ambient temperature data extracted by the data extraction unit 12, thereby reducing the effect of an increase in temperature inside the freezer / refrigerator showcase 61 caused by the door being open. Here, whether or not the door of the freezer / refrigerator showcase 61 was open can be determined by whether or not the power consumption has suddenly increased beyond a threshold value.
[0044] According to the third embodiment, in addition to the same effects as those of the first embodiment, by excluding data on the increase in power consumption caused by opening the door from the extracted power consumption, it is possible to extract only the power consumption caused by deterioration over time, and to judge the deterioration more accurately. In the first to third embodiments, the equipment 60a to be subjected to the deterioration judgment is a separate type refrigerated / freezer showcase, but this is not limited thereto. It is also applicable to a refrigerator, a freezer, or a refrigerated / freezer showcase with a built-in freezer. In this case, the ambient temperature of the heat exchanger 60b that discharges heat becomes the temperature inside the facility in which the equipment 60a is installed. Furthermore, by combining the first data correcting section 15 of the second embodiment with the second data correcting section 16 of the third embodiment, deterioration can be determined with higher accuracy.
[0045] According to the first to third embodiments described above, it is possible to determine the deterioration of the equipment 60a that cools a certain target space and controls the temperature of the target space.
[0046] Although the embodiment of the present invention has been described above, the above-mentioned embodiment is merely an example for carrying out the present invention. Therefore, the present invention is not limited to the above-mentioned embodiment, and the above-mentioned embodiment can be appropriately modified and carried out without departing from the spirit of the present invention.
[0047] In addition, by appropriately combining any of the various embodiments or modifications described above, it is possible to achieve the effects of each of them. In addition, combinations of embodiments, combinations of examples, or combinations of embodiments and examples are possible, and combinations of features of different embodiments or examples are also possible. [Industrial Applicability]
[0048] The deterioration determination method and deterioration determination device according to the above-described aspects of the present invention can correctly determine the degree of deterioration of equipment by extracting a range of power consumption and outside air temperature where the influence of external disturbances is small, and can be used for improving the equipment environment, such as equipment maintenance or equipment renewal. [Explanation of symbols]
[0049] 1, 1B, 1C deterioration determination device 11 Input section 12 Data Extraction Section 13 Correlation curve calculation section 14 Deterioration determination section 15 Data correction section 16 Data correction section 50 Facility Database 60 Freezer / refrigerator showcase 60a Cooling equipment 60b heat exchanger 61 Freezer / refrigerator showcase with door 70 Temperature Database 80 Temperature Sensor 81 Power meter 90 Power consumption during energy saving operation 91 Power consumption during normal operation 101 Deterioration determination device 111 Power consumption holding unit 112 First change curve change rate calculation unit 113 Second change curve change rate calculation unit 114 Reference data setting section 115 Deterioration degree calculation section
Claims
1. A deterioration determination method for determining deterioration of a cooling device that cools an inside of a box-shaped housing, comprising: A data extraction unit extracts data on the power consumption of the equipment and the ambient temperature of a heat exchanger that discharges heat to the outside of the equipment, which are acquired at predetermined intervals or at predetermined times, as deterioration determination reference data prior to the deterioration determination and data on the reduction of the influence of disturbances other than the outside temperature, when the equipment is in an operation mode in which the equipment is operating with less power consumption than normal, and as determination data and data on the reduction of the influence of disturbances other than the outside temperature, when the equipment is operating with less power consumption than normal, and a correlation curve calculation unit calculates a correlation curve between the power consumption and the ambient temperature from the deterioration determination reference data extracted by the data extraction unit, and calculates a correlation curve between the power consumption and the ambient temperature from the determination data; A deterioration determination method in which a deterioration determination unit determines deterioration of the equipment based on a difference between the correlation curve of the deterioration determination reference data and the correlation curve of the determination data, using data on reduced influence of disturbances other than the outside air temperature other than data in a normal operation mode in which the operating state of the equipment is normal.
2. A deterioration determination method as described in Claim 1, in which the data extraction unit extracts data after excluding data during defrosting operation from the data acquired respectively for each of the specified times or for each of the specified hours.
3. A deterioration determination method described in any one of claims 1 to 2, wherein the data extraction unit removes data when the door of a cooling room connected to the equipment was open from the data acquired for each of the specified times or each of the specified hours, and then extracts data.
4. A deterioration determination device for determining deterioration of a cooling facility that cools an inside of a box-shaped housing, comprising: a data extraction unit that extracts data on the power consumption and the ambient temperature of a heat exchanger that discharges heat to the outside of the equipment, the data being acquired at predetermined intervals or at predetermined times, when the equipment is in an operation mode in which the equipment is operating with less power consumption than normal, as deterioration determination reference data prior to a deterioration determination time and data on reduction of the influence of disturbances other than the outside temperature, and also extracts data on the power consumption and the ambient temperature when the equipment is in an operation mode in which the equipment is operating with less power consumption than normal, as determination data and data on reduction of the influence of disturbances other than the outside temperature; a correlation curve calculation unit that calculates a correlation curve between the power consumption and the ambient temperature from the deterioration determination reference data extracted by the data extraction unit, and calculates a correlation curve between the power consumption and the ambient temperature from the determination data; and a deterioration determination unit that determines deterioration of the equipment by using data of reduced influence of disturbance other than the outside air temperature other than data in a normal operation mode in which the operating state of the equipment is normal, based on a difference between the correlation curve of the deterioration determination reference data and the correlation curve of the determination data, each of which is calculated by the correlation curve calculation unit.
5. The deterioration determination device according to claim 4 , wherein the data extraction unit extracts data after excluding data during a defrosting operation from the data acquired at each of the predetermined times or at each of the predetermined times.
6. A deterioration determination device as described in any one of claims 4 to 5, wherein the data extraction unit extracts data after removing data when the door of a cooling room connected to the equipment was open from the data acquired respectively for each specified time or for each specified hour.
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