EP3736517A1 - Procédé de surveillance de l'état, d'évaluation de l'état et de demande de maintenance automatique des meubles réfrigérés - Google Patents

Procédé de surveillance de l'état, d'évaluation de l'état et de demande de maintenance automatique des meubles réfrigérés Download PDF

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Publication number
EP3736517A1
EP3736517A1 EP20172658.5A EP20172658A EP3736517A1 EP 3736517 A1 EP3736517 A1 EP 3736517A1 EP 20172658 A EP20172658 A EP 20172658A EP 3736517 A1 EP3736517 A1 EP 3736517A1
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EP
European Patent Office
Prior art keywords
measuring box
data
server
refrigerated
refrigerated cabinet
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP20172658.5A
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German (de)
English (en)
Other versions
EP3736517B1 (fr
EP3736517C0 (fr
Inventor
Björn Stemmermann
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Seco Kaeltetechnik GmbH
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Seco Kaeltetechnik GmbH
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Publication of EP3736517A1 publication Critical patent/EP3736517A1/fr
Application granted granted Critical
Publication of EP3736517B1 publication Critical patent/EP3736517B1/fr
Publication of EP3736517C0 publication Critical patent/EP3736517C0/fr
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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • F25D29/005—Mounting of control devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2500/00—Problems to be solved
    • F25D2500/04—Calculation of parameters
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2600/00—Control issues
    • F25D2600/06—Controlling according to a predetermined profile
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2700/00—Means for sensing or measuring; Sensors therefor
    • F25D2700/14—Sensors measuring the temperature outside the refrigerator or freezer

Definitions

  • the invention relates to a method for condition monitoring, condition assessment and maintenance of locally widely distributed refrigerated cabinets with a measurement box assigned to the respective refrigerated cabinet, which comprises a microcontroller and a transmitting / receiving unit.
  • the smaller mobile, so-called plug-in refrigeration units can be designed as refrigerators and / or freezers.
  • the plug-in refrigerated cabinets have the advantage that they can be used flexibly, as they only need a power connection in the vicinity and can therefore be adapted to the requirements of the end customer in wholesale and retail. In this way, the end customers can present the refrigeration units as needed, for the respective goods, at the optimal location on their sales area.
  • the plug-in refrigeration units have very different design criteria, inconsistent controls with non-standardized interfaces and often changing details of the technical equipment.
  • the end customer expects trouble-free operation without constantly having to find out about the status of their devices.
  • the end customer is basically responsible for the proper cleaning of the refrigerated cabinets and their surroundings, but the proper preventive cleaning of the refrigerated cabinets and their surroundings cannot always be guaranteed. In addition, required cleaning in the housing is only permitted by trained specialist personnel.
  • the plug-in refrigerated cabinets are also exposed to a wide variety of environmental conditions. They can be used on a mobile basis, so that on the one hand their place of use can change on the sales floor, but on the other hand it is not uncommon for them to be set up at a completely different sales location. Due to these different environmental conditions, a mere condition estimate based on the time of use is extremely imprecise.
  • the invention proposes a method with a measurement box assigned to the respective refrigeration unit, which comprises a microcontroller and a mobile radio interface, in which the measurement box is installed between the mains connection of a refrigeration unit and the power connector of the refrigeration unit, the measuring box the electrical current - and voltage characteristics of the refrigeration unit are recorded, the recorded characteristics are further processed by the microcontroller to form compressed data packets, the data packets are forwarded to a higher-level central server via the mobile radio interface, the data packets provided are evaluated using software and a status assessment of the refrigeration unit is carried out on the basis of the evaluation .
  • the measuring box is therefore simply connected, using plug-and-play, between the power supply and the connector of the refrigerated cabinet.
  • the measured current and voltage characteristics are compressed into data packets. This does not have to include all of the measured data. Rather, they can be filtered based on time or also according to certain events, such as a significant change in power consumption or the like.
  • the microcontroller can also use the microcontroller to determine the performance parameters, such as the effective power factor and the effective and Reactive power can be calculated.
  • the data packets preprocessed in this way are then forwarded to the higher-level server via the cellular radio interface. With the data packets received, the server can use stored samples to evaluate the condition of the refrigerated cabinet.
  • the measuring box recognizes the model type of the refrigerated appliance when it is switched on for the first time after installation based on stored sample characteristics and the characteristics recorded after switching on and transmits it to the server. With this automatic detection it is not necessary to manually set on the measuring box which model type the measuring box is connected to. It also makes the use of the measuring box even more flexible, because the connected model types can be changed as often as required.
  • the optimal time for the next maintenance can now be determined using software.
  • the maintenance tours of the employees can be optimized without running the risk of failure of the refrigerated cabinet due to late maintenance. Due to the high number of monitored refrigerated cabinets and their extensive local distribution, there is a high potential for optimization in the condition assessment in connection with the maintenance tours that are already planned.
  • the ambient temperature is also recorded by the measuring box and made available to the higher-level server. This allows further conclusions to be drawn about the usage and environmental conditions of the refrigerated cabinet. They also serve to improve the modeling in the higher-level computer.
  • a measuring box is denoted by the reference number 1.
  • the measuring box 1 has a power supply input 11, a radio interface 12 and a power supply output 13.
  • the power supply output 13 is connected to the power supply input 21 of a refrigerator 2.
  • the measuring box 1 detects the performance data of the refrigerated cabinet 2 by means of a current and voltage detection unit 14.
  • the measuring box 1 has additional sensors 15 which, for example, detect the ambient temperature or humidity.
  • the recorded data are preprocessed and compressed by a microcontroller 10.
  • the freely programmable microcontroller 10 of the measuring box 1 is equipped with an algorithm that enables the acquisition and evaluation of the raw data, the calculation of the performance parameters and the intermediate storage of the calculated data. For example, the microcontroller 10 is able to recognize incorrect measurements and to compensate for them.
  • the data are then sent to a higher-level central server 3 by means of a transmitting / receiving unit 12.
  • the data are transmitted bidirectionally to the higher-level server 3, for example, via the cellular network according to the GPRS / GSM standards or similar.
  • the bidirectional data transmission also enables remote maintenance / remote programming (program update) and remote parameterization (data synchronization) to be implemented.
  • the server 3 comprises two computer units 31, 32 which, depending on the complexity of the overall system, can also be implemented in one physical unit.
  • the server 3 receives the data via the radio interface 311 of the computer unit 31.
  • the computer unit 31 processes data and forwards the processed data via an interface 312 to the computer unit 32 via its interface 321.
  • the computer unit 32 serves as a master computer (deployment control).
  • FIG. 2 the initiating start-up routine of the microcontroller 10 is shown as a flow chart.
  • the aim of this start-up routine is in particular to recognize which type of refrigerated cabinet is connected to the measuring box 11.
  • the first step is an automatic offset correction for the current and voltage measurement.
  • the offset is determined and stored once by the microcontroller 10 during the initialization. The initial data are then saved.
  • the first measurement data are then recorded by the refrigeration cabinet 2. It can be useful here to carry out a large number of start cycles in order to determine the most precise information possible about the type of refrigerator 2.
  • the data is then compressed, stored internally as characteristic values and finally sent to the higher-level server 3.
  • Figure 3 shows the sequence of data acquisition and processing by the locally installed measuring box.
  • measurement data are recorded, this process being carried out either continuously or following a specific rule at time intervals.
  • the data is compressed and stored internally as normal values.
  • the normal values are also sent to the higher-level server 3.
  • the previous compression of the data minimizes the amount of data to be transferred.
  • the following recorded measurement data are compared with the normal values. If the measured values do not deviate from the normal value or are still within a predetermined tolerance band, the measured values are not processed further and the measured data continue to be recorded cyclically according to the predetermined rule.
  • this data is also compressed and stored internally and sent to the higher-level server.
  • Figure 4 shows a flow chart of the data reception and the data assignment in the higher-level server 3. After the data has been received, it is checked in a first step and then, if necessary, brought to the desired data format. The data is then saved internally. It is also checked whether the data transfer was complete. If the received data is not yet complete or incorrect data reception is continued. If necessary, the server 3 can also request the measuring box 10 to send further data or to send the data again.
  • Figure 5 shows the flow chart of the data analysis on the central higher-level server 3.
  • the data of a local measuring box 1 is processed and analyzed and, on the other hand, the data of all widely distributed measuring boxes 1 are cumulatively processed and analyzed.
  • data of the individual measuring boxes 1 are first categorized on the basis of their characteristic values.
  • the data are therefore primarily divided into groups and / or classes of different types of refrigerated cabinets.
  • further specifications are then formed from the data obtained in this way and the data assigned to the individual refrigeration units are divided into further specified clusters.
  • the installation site, the ambient temperature, the frequency of the defrosting processes and / or the type and quantity of typical goods can be included.
  • the classification is carried out by an artificial intelligence, which is able to create patterns from the mass of accumulated data sets and to categorize data accordingly. Of course, it is also possible to manually update specific data if this appears beneficial.
  • the data is then graphically processed and stored in a database.
  • a special report is created and stored in a database.
  • the special reports can then be checked and examined manually and / or by the artificial intelligence directly or at regular intervals.
  • the data are compared with those from the specific cluster to which the local measuring box 1 was previously assigned. It is therefore not a question of the static characteristics of the refrigerated cabinet type (cf. Fig. 2 ), but about the clusters formed by artificial intelligence.
  • the data stored here are not purely static, but can also show tendencies with regard to the degree of wear and soiling of the refrigerated cabinet 2. For this purpose, the data are compared with one another. If the measurement data is within a tolerance band, nothing needs to be done. The routine maintenance cycle which is assigned to the refrigeration cabinet 2 in the respective cluster can be retained.
  • a message is sent to the operational planning department so that the changed circumstances can be taken into account and, if necessary, earlier or later maintenance can be carried out.
  • early detection is important here so that maintenance work is brought forward whenever possible and the refrigerated cabinet does not fail.
  • maintenance can be carried out during routine use on site when a technician is already there (anyway on site) to troubleshoot another refrigeration unit.
  • provision and provision of spare parts for maintenance work can be optimized on the basis of the data obtained and the knowledge gained from it.
  • the material and resource planning can be done manually, but also automatically, by the higher-level server 3.
  • Figure 6 and 7th show exemplary measurement curves, which were determined in extensive, weeks-long tests in which various failure, wear and pollution scenarios were simulated.
  • a pollution simulation was carried out by covering the ventilation slots on the refrigeration unit. After a routine defrosting period, the cover was removed from the ventilation slots. Accordingly, the power consumption of the refrigerated cabinet falls relatively abruptly. With the real one Application, this would correspond to the condition after cleaning.
  • the real, i.e. not simulated, pollution occurs gradually and is also very location-dependent due to the pollution conditions in the area.
  • the ventilation slots of a refrigerated cabinet that is located in a fish department usually get dirty much more slowly than the ventilation slots of a refrigerated cabinet that is located in the fruit and vegetable department.
  • the speed of the pollution process can be taken into account in the cluster formation described above.

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Devices That Are Associated With Refrigeration Equipment (AREA)
EP20172658.5A 2019-05-10 2020-05-04 Procédé de surveillance de l'état, d'évaluation de l'état et de demande de maintenance automatique des meubles réfrigérés Active EP3736517B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102019112330.5A DE102019112330A1 (de) 2019-05-10 2019-05-10 Verfahren zur Zustandsüberwachung, Zustandsbewertung und Wartung von Kühlmöbeln

Publications (3)

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EP3736517A1 true EP3736517A1 (fr) 2020-11-11
EP3736517B1 EP3736517B1 (fr) 2023-12-13
EP3736517C0 EP3736517C0 (fr) 2023-12-13

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EP (1) EP3736517B1 (fr)
DE (1) DE102019112330A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117308505A (zh) * 2023-11-29 2023-12-29 青岛量谷无线科技有限公司 一种适用于商用冷柜智能维护与决策支持方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE29815094U1 (de) * 1998-08-22 2000-01-05 Dewert Antriebs Systemtech Vorrichtung zur Betriebszustandsüberwachung von Verbrauchern
US20010053963A1 (en) * 2000-06-16 2001-12-20 Lg Electronics Inc. Refrigerator and method for controlling the same
US20110224947A1 (en) * 2010-03-15 2011-09-15 Klatu Networks Systems and methods for monitoring, inferring state of health, and optimizing efficiency of refrigeration systems
WO2015095887A1 (fr) * 2013-12-20 2015-06-25 KLATU Networks, LLC Gestion de l'efficacité de réparations effectuées sur des armoires de réfrigération
US20180340729A1 (en) * 2016-10-19 2018-11-29 Emanate Wireless, Inc. Cold storage health monitoring system

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DE3113574A1 (de) * 1981-04-03 1982-10-21 Linde Ag, 6200 Wiesbaden Kuehl- oder tiefkuehlmoebel
DE3837629A1 (de) * 1988-11-05 1990-05-17 Erwin Dietz Verfahren zur ueberwachung elektrischer kuehlmoebel, insbes. kuehl- oder gefrierschraenke
KR0146100B1 (ko) * 1995-01-07 1998-09-15 이헌조 가전기기의 실사용상태 정보수집 및 분석장치
DE10214794A1 (de) * 2002-04-04 2004-01-08 Alexander Kober Überwachungseinrichtung für ein Haushaltsgerät und Verfahren zur Überwachung eines Haushaltsgerätes
DE102016207601A1 (de) * 2016-05-03 2017-11-09 BSH Hausgeräte GmbH Externes Kommunikationsmodul für Haushaltsgeräte

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE29815094U1 (de) * 1998-08-22 2000-01-05 Dewert Antriebs Systemtech Vorrichtung zur Betriebszustandsüberwachung von Verbrauchern
US20010053963A1 (en) * 2000-06-16 2001-12-20 Lg Electronics Inc. Refrigerator and method for controlling the same
US20110224947A1 (en) * 2010-03-15 2011-09-15 Klatu Networks Systems and methods for monitoring, inferring state of health, and optimizing efficiency of refrigeration systems
WO2015095887A1 (fr) * 2013-12-20 2015-06-25 KLATU Networks, LLC Gestion de l'efficacité de réparations effectuées sur des armoires de réfrigération
US20180340729A1 (en) * 2016-10-19 2018-11-29 Emanate Wireless, Inc. Cold storage health monitoring system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117308505A (zh) * 2023-11-29 2023-12-29 青岛量谷无线科技有限公司 一种适用于商用冷柜智能维护与决策支持方法
CN117308505B (zh) * 2023-11-29 2024-02-20 青岛量谷无线科技有限公司 一种适用于商用冷柜智能维护与决策支持方法

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DE102019112330A1 (de) 2020-11-12
EP3736517B1 (fr) 2023-12-13
EP3736517C0 (fr) 2023-12-13

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