LEARNING REFRIGERATION CABINET CONTROL SYSTEM

Abstract

The invention relates to a cooling cabinet control system (10) for controlling commercial cooling cabinets. The system comprises a sensing unit (30) that enables the acquisition of usage data regarding the cabinet's use and a processor unit (21) that creates a usage profile by associating the said usage data with different time periods of the day. The processor unit (21) updates the usage value for each time period according to the exponential weighted average relationship between the current usage data and the previous usage value, and manages the cooling set value and the operation of the evaporator fan (52) according to the created usage profile. Figure 1

Description

1 TARIFF LEARNING REFRIGERATION CABINET CONTROL SYSTEM TECHNICAL AREA 5 The invention provides electronic control for the operational functions of commercial refrigeration cabinets. It is related to control systems. PREVIOUS TECHNIQUE 10 In commercial refrigeration cabinets, the cabinet interior temperature must be kept within certain limits. For the purpose of controlling cooling components such as compressors, evaporator fans, thermostats, and the like. Electronic systems are used to control the operation of the compressor. Switching on and off mostly depends on the temperature information provided by the thermostat. 15 It is managed by this logic, and the evaporator fan operates according to predetermined operating conditions. This is being implemented. In addition, the visibility of products in commercial refrigeration cabinets is being improved. LED-based lighting systems can be used to increase efficiency, and some Temperature, door movement, and fan operating time are indicators of the cabinet's operating status in the applications. And similar data can be monitored through various control or monitoring units. 20 Current applications include lighting, cooling control, and monitoring of operational data. Functions are mostly executed independently of each other, and data belonging to different functions... Their combined evaluation remains limited. Compressor control is predominantly instantaneous. 25, depending on the temperature value and the time of use intensity of the cabin. Changes are not being taken into account sufficiently, and unnecessary energy is being wasted during periods of low usage. Consumption may occur. Similarly, energy consumption based on fixed working hours. Cost-saving measures may be insufficient to adapt to different business conditions. and may require readjustment if operating hours change. The cabin Presenting the study data to the user, changing the study parameters externally 30 and also in terms of being able to adjust the lighting features according to user needs. Solutions may be limited. In conclusion, all the problems mentioned above necessitate an innovation in the relevant technical field. has made it mandatory. 35 A BRIEF DESCRIPTION OF THE INVENTION 2 The present invention aims to eliminate the aforementioned disadvantages and contribute to the relevant technical field. It is related to a cooling cabinet control system, aiming to bring new advantages. One aim of the invention is to adjust the usage intensity of the cooling cabinet according to time periods. A cooling system that learns and manages cooling operations according to the acquired usage profile. The goal is to establish a cabin control system. Another purpose of the invention is to eliminate the need to store past usage data separately. A cooling cabinet control system that can continuously update the usage profile without being heard. 10 to reveal. All the purposes mentioned above and those that will emerge from the detailed explanation below. The present invention is intended to enable the control of commercial refrigeration cabinets. at least one usage data point that enables the acquisition of at least one usage data point regarding the use of the cabin. The sensing group enables the acquisition of temperature data regarding the cabin interior temperature, at least. a temperature sensor, at least one compressor to cool the cabinet, and at least one It relates to a cooling cabinet control system that includes an evaporator fan. Accordingly, its innovation is, By associating the mentioned usage data with different time periods of the day, a usage analysis is performed. It creates a profile, with a single memory usage value of 20 for each time period. storing the relevant usage value in the current usage received during the relevant time period. a weighting factor between the data and the previous usage value stored in the memory unit updating and generating usage based on the exponential weighted average relationship. It manages the cooling set value and evaporator fan operation according to its profile. It includes a processing unit that provides this. Thus, usage data from previous days can be stored separately. 25 Cooling based on a constantly updated usage profile without the need for separate storage. The set value and evaporator fan operation can be controlled. A characteristic feature of a possible configuration of the invention is that the aforementioned usage data relates to cooling. at least one door that enables the detection of the opening and closing events of the cabin door 30 This is the door opening data received from the sensor. Thus, the usage intensity of the cabin determines the door opening intensity. Usage patterns at different times of the day are determined based on opening events. It can be detected. A characteristic feature of a possible configuration of the invention is that every 35 during the creation of the usage profile. a memory unit that allows the storage of usage values ​​for a given time period 3 This involves storing the use value for each time period. It is possible to create and continuously update a profile. A characteristic of a possible construction of the invention is a use value in the use profile. If the cooling setting value falls below a defined savings threshold, it will be set to a defined band 5. It contains a processor unit that enables it to perform upgrades. Thus, low usage. during these periods the difference between the cabin interior temperature and the outside temperature is reduced The total operating time and the number of times the compressor starts can be reduced. A characteristic of a possible configuration of the invention is that the usage intensity in the usage profile is 10 Normal cooling setting before the expected increase in usage It includes a processing unit that allows it to gradually change its value. Therefore, the cooling setting value is adjusted to normal usage before usage intensity increases. by bringing the value closer to the target temperature conditions, gradually bringing the cabin back to its intended temperature conditions. It can be rotated. 15 A feature of a possible configuration of the invention is that the temperature data received from the temperature sensor... exceeding a defined safety threshold or the risk of exceeding that threshold a processor that overrides the cooling decision based on the usage profile It includes the unit. Thus, profile-based energy saving decisions include temperature safety 20 This is done with care, ensuring the temperature of the cooled volume is kept within the appropriate range. It can be provided. The characteristic of a possible design of the invention is that it involves a single door opening event or a specific Door opening events occurring within a time interval are used for the relevant time period. 25 a processor unit that limits its impact on the value to a predetermined upper limit This includes single or frequent door opening events outside of normal use. This prevents the usage value for the relevant time period from changing excessively. The feature of a possible configuration of the invention is related to the cooling cabinet control system. the data can be viewed by the user and at least one control parameter can be controlled by the user. It must include at least one user interface that allows access by the aforementioned user. At least one wireless interface that enables data transfer between the interface and the control board. It includes a communication unit, and the aforementioned wireless communication unit is Bluetooth Low. It has a BLE (Building Energy Leakage) communication infrastructure. Thus, the cooling cabinet control 35 The user can view and control the operational data related to the system. The parameters can be wirelessly transmitted to the control board. 4 BRIEF DESCRIPTION OF THE FIGURE Figure 1 shows a representative schematic view of the cooling cabinet control system. DETAILED DESCRIPTION OF THE INVENTION This detailed explanation of the invention does not merely aim to improve understanding of the subject matter; it does not contain any other information. This is explained with examples that will not create a limiting effect. Figure 1 shows a schematic representation of the cooling cabinet control system (10) which is the subject of the invention. The appearance is given. Cooling cabinet control system (10), in commercial cooling applications lighting, wireless communication, usage data monitoring, and cooling management. It ensures that their functions are carried out through a common control infrastructure. The aforementioned The system is used in commercial refrigerators, freezers, beverage cooling cabinets, and supermarkets. and in store display coolers, vending machines and similar cooling systems. It can be used in various applications. The system is particularly useful in situations where the cabin's usage intensity is high. By identifying its change over time, the cooling operation can be adapted to that change. It allows for management according to this. In addition, the data obtained by the system The working data can be transferred to the user, and some working parameters of the system can be given to the user. It can be modified by [the relevant authority]. The cooling cabinet control system (10) includes a control card (20). The control card (20), where sensing, lighting, cooling and communication functions within the system are managed It forms the electronic control infrastructure. The control card (20) is in the existing cooling cabinet 25 It has a modular structure that can be integrated into platforms with limited hardware changes. The control card (20) must have at least one processor unit (21), at least one memory unit (22) and at least one It includes a wireless communication unit (23). The processor unit (21) is a microcontroller, It can be a microprocessor or similar data processing hardware. The processor unit in question is 30 (21), processing of data from the sensing group (30), usage profile creation, updating profile values, management of the cooling unit (50), Checking the lighting group (40), recording the operating data and the user It enables the management of data exchange carried out with the interface (60). Thus Data relating to the different functions of the cooling cabinet are processed together by the same processor unit (21) 35 can be evaluated. The memory unit (22) is the workpiece used in the operations performed by the processor unit (21). It ensures the storage of parameters and obtained data. In the memory unit (22) Values ​​related to the usage profile, cooling setpoint band, learning weighting factor, energy saving thresholds, fan cycle rate, temperature safety thresholds and system operation Other parameters can be maintained. The memory unit (22) has energy in a possible configuration. It contains a persistent memory that preserves data in case of interruption. This allows for the acquisition of learned data. The usage profile is not lost as a result of a power outage, and the system restarts. When energized, it can continue to operate using the current profile. Cooling cabinet control system (10), obtaining data on the operating status of the cabinet 10 For this purpose, it includes a sensing group (30). The sensing group (30) includes at least one temperature It includes sensor (31) and at least one door sensor (32). The temperature sensor (31) obtains a temperature data about the temperature in the cooled volume. The processor unit (21) ensures that the mentioned temperature data is cooled. It uses temperature data in managing the group (50). The current thermostat function It can be used in the implementation of profile-based energy saving decisions, as well as in security. It is also used in monitoring in this regard. In this context, according to the usage profile. a cost-saving decision was made to keep the temperature inside the cabin within the specified limits. It is applied subject to the condition of being held. 20 Door sensor (32) monitors events related to the opening and closing of the door of the cooling cabinet. It enables the detection of the opening signal received from the door sensor (32). The processor unit (21) receives the opening signal from the door sensor (32). events as usage data representing the cabin's usage intensity It is evaluating. Intervals when the door is opened more frequently indicate heavy use, less than 25. The intervals during which it is opened may indicate low usage. Accordingly, the door opening events, the daily usage pattern of the establishment where the cabin is located It is used in determining the processor unit (21), which is obtained from the door sensor (32). It associates opening events with different times of the day. A possible In the structure, the day is divided into twenty-four separate time periods and in the memory unit (22) every 30 A single usage value is held for each time period. For example, three o'clock and four o'clock. The usage intensity between these two points is a value; the usage intensity between four and five o'clock. It can be represented by a different value. With the completion of each time period, the processor unit (21) has 35 in that time period. The counted current door opening events are stored in the memory unit (22) for that time period. It is used to update the usage value. The update is based on the current number of events. 6 a weighting coefficient between the previous usage value available in the memory unit (22) This is done using the exponential weighted average relationship. Accordingly, each a record table containing the number of openings for each past day within a given time period It does not need to be retained; a single value representing the past usage of the relevant time period. It is stored. The mentioned value is updated again as new usage data becomes available. 5 The impact of historical data on the profile depends on the weighting coefficient used. This reduces the opening or closing hours of the business over time. If it changes, the usage profile can be deleted without completely deleting the previous profile. They are able to adapt to the new work arrangement. For example, if the usage value for a specific nighttime period is four, and the relevant... If no door opening event occurs during the same time period at night, then... The value can be reduced depending on the weighting factor used. In the following days When usage remains low during the same time period, the value drops again and the specified value... It can fall below the savings threshold. With this regulation, according to a single day's observation, 15 Instead of making a direct decision, a combination of past and current usage takes effect. A continuously updated profile is obtained. This is necessary for storing the profile values. Memory space is low because separate records are not kept for each of the past days. It can be stored. In a possible configuration, the data space required for the usage profile is one hundred bytes. It is at the level of. Thus, the profile data is stored in the memory unit (20) on the control card. (22) can be stored and high-capacity storage is also available for the purpose of maintaining the profile. The unit is not needed. The processing unit (21) processes a single gate opening event or a short-term event. This can limit the impact of a dense sequence of events on the usage profile. For this purpose, 25 A multiple of the function of a single opening event to measure the use value over a given time period. A boundary is being defined. This allows the door to remain open for extended periods outside of its normal use. abandonment or a large number of on / off cycles occurring in a short period of time As a result, the extreme fluctuation in the use value of the relevant time period is limited. After the control board (20) is commissioned, the processor unit (21) undergoes a certain warm-up. It collects usage data for the purpose of creating a profile throughout its duration. (mentioned) Door opening events during the heating period are correlated with time intervals and profiled. The values ​​are being updated, but energy saving decisions based on the learned profile are not yet available. It is not applied. After the warm-up period is complete, the profile values ​​are cooled to 35. It is started to be used under the management of the group (50). Thus, there is not yet sufficient use. 7 Making a decision on low or high usage before data is available. It is being blocked. If the profile value changes to levels close to a savings threshold, the system will short-term To prevent the processor unit 5 from entering and exiting power saving mode intermittently. (21) can implement hysteresis control. In this context, enter the energy saving situation. A first threshold can be defined for exiting the situation, and a second threshold for exiting the situation can be defined. Two Small changes in profile values ​​by using different thresholds affect cooling performance. This prevents the situation from constantly changing. In a possible configuration, exponential weighted average calculations are performed on the processor unit (21). It is performed using fixed-point integer arithmetic. The weighting factor is two of one. It can be selected to correspond to the power, and thus the division used in the calculation Operations can be performed via bit shifting operations. This structure is floating-point. In microcontrollers with limited computational capabilities, profile updating requires a low processing power (15). This allows it to be carried out with the burden. In another structure, the same Calculations can be performed using floating-point arithmetic. It is possible to keep the weighting coefficient constant, as well as to adapt the learning process to different levels. It is also possible to change it according to its stages. For example, the first operation of the control card (20) is 20 In order to learn the new usage pattern more quickly in the coming days, a higher level A weighting coefficient can be applied, and in the subsequent process, the impact of current individual events on the profile can be considered. A lower weighting factor can be used to reduce its effect. Weight The coefficient also depends on the cabinet type, installation location, and expected usage variability. It can be determined at different values. 25 Time slots do not have to be one hour long. In possible configurations, half the day can be used. By dividing it into hourly time segments, forty-eight separate use cases can be stored. If it is requested that we also learn about the differences in usage between the days of the week. By considering each day of the week and each hour within the day, one hundred and sixty-eight separate 30s were obtained. Use value can be created. This allows for both weekday and weekend use. In businesses where the processes differ from one another, this difference is included in the profile. It is possible. The cooling cabinet control system (10) includes a cooling unit (50). Cooling unit 35 (50) includes at least one compressor (51) and at least one evaporator fan (52). Compressor (51) is run for the purpose of running the cooling cycle and the processor unit (21) 8 It is controlled by the evaporator fan (52) in the evaporator area. It ensures the circulation of cooled air inside the cabin. During normal operation, the processor unit (21) receives the temperature from the temperature sensor (31). By comparing the data with a cooling set value, the compressor (51) is activated. or enables its cessation. Applying the usage profile enables or stops the thermostat function. It does not eliminate the processor unit (21), depending on the learned usage profile. It manages the cooling setting value used in the thermostat function. Processor unit (21), usage is low 10 in a specific time period from the usage profile. When it detects that this is expected, it sets the cooling setting value within a defined range. It can temporarily increase the temperature. By increasing the set value, both the cabin interior and exterior temperatures can be adjusted. The difference between ambient temperatures is reduced, and heat transfer due to this temperature difference is minimized. As a result, the total operating time and commissioning of the compressor (51) are reduced. The number of logins can be reduced. Usage intensity is expected to increase again on the 15th. Before the time period, the processor unit (21) gradually increases the cooling setting value. It is reducing it towards the normal usage value. The setting value shift will be applied. In determining the band, the product temperature is set to the target value at the time of commencement of use. The ability to reach this range is taken into consideration. The upper limit of the mentioned range depends on the cooling rate of the cabinet. It can be limited. The setting to be applied in a cabinet with a slower cooling rate is 20. While the variation can be kept more limited, it is possible to reach the target temperature faster before use begins. A different adjustment band can be used in accessible cabins. The usage profile is also used to manage the operation of the evaporator fan (52). The processing unit (21) keeps the evaporator fan (52) running continuously for 25 minutes during periods when no use is expected. Instead of running it continuously, it can operate the fan intermittently according to a defined fan speed. thanks to the time intervals when it stops, the electrical consumption of the evaporator fan (52) The heat load transferred from the fan motor into the cabinet can be reduced. It can be restricted. Usage intensity is expected to increase again. During these periods, the fan operating mode can be restored to normal working conditions. 30 The processor unit (21) incorporates profile-based energy saving decisions along with temperature safety. It evaluates the temperature data received from the temperature sensor (31) to a defined one. If the security threshold is exceeded or there is a risk of exceeding that threshold, the processor unit (21), setting value shift and saving on stopping the compressor (51) 35 This invalidates their decisions. In this case, the compressor (51) cools the temperature of the cooled volume. It is activated to keep it within the appropriate range. 9 In another possible configuration, the door is used to determine the operating plan of the compressor (51). opening frequency, temperature change rate, thermostat cycle time, and past operation. More than one of the data points is evaluated together. The processor unit (21) is the one in question. From the data, we can determine the operating and downtime of the compressor (51) and use 5 It can update the work stoppage rate according to the change in intensity. Low During the usage periods, the downtime of the compressor (51) can be extended, In order to meet the cooling needs during periods of high density Downtime can be reduced. This study is also subject to temperature safety threshold control. is being held. 10 Data relating to the cooling unit (50) can be monitored by the processing unit (21). Door the number of openings, the number of thermostat cycles and the total operating time of the evaporator fan (52) are equal It can be recorded in real time. Operating information of the evaporator fan (52) is recorded. 15 obtained from the energization time or, in a possible configuration, from the fan speed signal. This can be done. The aforementioned study data are used both in evaluating the user profile. It can also be used to generate performance statistics that will be presented to the user. The cooling cabinet control system (10) includes a lighting group (40). Lighting group (40) has at least one 20 with red, green and blue light channels in a possible configuration. It includes an RGB LED lighting element. The processor unit (21) is part of the lighting group (40) Controlling different color channels individually using pulse width modulation. It is possible to adjust the lighting by changing the PWM duty cycle of each channel. The brightness and resulting color can be altered. Lighting group (40), lighting of the interior of the cabinet or product display area It can be used for various purposes, as well as to display system operating status to the user. It can also be used for, for example, normal operation, energy saving mode, and profile learning. Different colors can be defined for the process and error status. In an alternative application... The status indicator uses different flashing sequences instead of changing colors. 30 It can be realized. In a simpler application, the lighting group (40) RGB LED Instead, it may include a single-color LED lighting system with adjustable brightness. PWM operating frequency, power supply located on the control board (20) or working together with the control board The selection is made taking into account the electronic elements. 35 The wireless communication unit (23) located on the control board (20) is connected to the user interface (60). It enables data transfer between the control card (20). In the preferred configuration Wireless communication unit (23) Bluetooth Low Energy (BLE) communication infrastructure It includes. The user interface (60) is a mobile phone, tablet, computer or similar device. It can be a mobile application running on an electronic device. Wireless communication. A bidirectional control link is established through the unit (23). Processor unit (21), It enables the cabin's operating data to be transferred to the user interface (60) and user 5 It receives the control parameters sent from the interface (60). By the user cooling setpoint band, learning weighting factor, energy saving thresholds, evaporator fan cycle rate of fan (52) and brightness and color values ​​of lighting group (40) The message can be sent from the user interface (60) to the control card (20). Thus, the message In order to change the subject parameters, the control card (20) also has a screen or 10 No programming device needs to be connected. Wireless communication unit (23), data transfer in order to reduce energy consumption. It can be kept in a low power state when not in use. The accumulated operational data... When the data needs to be transferred, communication is activated and the data is transferred as compressed data packets. 15 In this case, it can be transmitted to the user interface (60). After the data transfer is completed Then the wireless communication unit (23) can be switched back to low power state. In this way, the total time that the communication remains active can be reduced. The control card (20) If used in a metal cooling cabinet, the antenna of the wireless communication unit (23) The placement was determined by considering the effect of metal surfaces on the communication signal. 20 The antenna position can be selected between the user interface (60) and the control card (20). This is determined in order to maintain the connection with an appropriate signal level. It is not mandatory for the wireless communication unit (23) to include BLE infrastructure. Alternatively Wi-Fi or Ethernet communication can be used in the configurations, and cabinet data is 25 It can be transferred to a remote server or a cloud-based system. User interface (60), work data received from the cabin by the user It allows the user to view how many times the door has been opened within a specific period. that it was opened, how many thermostat cycles occurred, evaporator fan (52) total 30 working time and learned usage profile in possible configurations user interface (60) can be examined. Statistics from the previous period with a timestamp. They can be stored together and displayed as a list. Accumulated in the user interface (60) The work data can be exported as a file. The generated file is then accessible to the user. email, messaging application or similar data sharing found on your electronic device 35 They can be sent to technical support or another user via the applications. 11 In creating the usage profile, the opening events obtained from the door sensor (32) Its use is preferred. However, data representing usage intensity. It can also be obtained from other sensing or external data sources. For example, motion. motion data from the sensor, data from the light sensor, or point of sale Sales data obtained from the system is used to determine the usage intensity of the booth. 5 It can be used. In this case, the processor unit (21) processes the data in time segments. It creates a usage profile by associating them. Learning the usage profile is exponentially weighted. While the average is used, alternative learning methods are also employed. It is possible. In possible configurations, the processor unit (21) uses usage data from an artificial neural network. By applying it to the network, decision tree, or linear regression model, time periods of 10 It is possible to determine the corresponding expected usage intensity. In such applications... The usage profile obtained is based on the cooling set point and the evaporator fan (52) It can be used in managing the study. Value management is directly via changing the thermostat set value. 15 This can be done by changing the compressor's (51) downtime. It can be applied. For example, the compressor (51) can be used during an unexpected period of time. It is possible to make it stop for a longer period than the normal operating schedule. Usage Before the intensity increases, the compressor operating mode returns to its normal operating values. can be brought. In both applications, the temperature data received from the temperature sensor (31) is 20 It is used as a security boundary. The learned usage profile represents the usage intensity of the cabinet, apart from energy management. It can also be considered as technical data. The usage profile is where the cabinet is installed. Determining the usage intensity at the point of sale, the use of different booths 25 data that can be used to compare levels and in product supply planning. This enables its production. The usage profile and cooling obtained from the field. Study data are also used to compare the thermal performance of different cabinets. It can be used. The effect of the change in the setting value on the compressor operating time is determined by the cabinet. It allows for an assessment of the overall heat transfer characteristics. 30 The usage profile and operational data accumulated in the cabin will enable more advanced load forecasting in the future. It also creates a dataset that can be used in the creation of models. For example... The future of the cabinet can be determined by using profile data obtained from different installation points. Embedded AI for estimating usage intensity or cooling load 35 Models can be developed. These models can be run on the processor unit (21) or 12 Transferring model outputs generated in an external system to the control card (20) It is possible. In an example working scenario, when the control card (20) is first commissioned, the processor unit (21) 5 Opening events received from the door sensor (32) during the specified warm-up period collecting and usage values ​​corresponding to time periods of the day It is being updated. No profile-based setting value changes are applied during this period. Once sufficient usage data is obtained, for example, on nights when the business is closed... if the profile values ​​corresponding to the hours are below the savings threshold The processor unit (21) increases the cooling setting value within the defined band and 10 This switches the evaporator fan (52) to intermittent operation. Increased usage is expected. The setting value is gradually reduced to its normal value before the time period expires. If the data from the temperature sensor (31) approaches the safety limit, profile-based The savings decision is cancelled and the compressor (51) is required to provide the necessary cooling. It is being operated. When the operating hours of the business change in the following days, the new door is 15. Since opening events constantly update profile values, the usage profile changes over time. It is adapting to the new usage pattern. During the same operation, the processor unit (21) measures the number of door openings, thermostat cycles and It records the operating time of the evaporator fan (52). The user, user interface (60) 20 By connecting to the control card (20) the mentioned operating data can display, cooling setpoint band, learning weighting factor, savings It can change parameters such as thresholds and fan speed. The lighting group... (40) If it contains RGB LEDs, the user can also set the brightness and color values ​​via the user interface. (60) can be adjusted. When the system switches to energy saving mode, 25 The lighting group (40) can indicate the situation with a defined color. The accumulated work data is obtained by activating the wireless communication unit (23). compressed form can be transferred to the user interface (60) and as a file. It can be hidden. According to all these explanations, the cooling cabinet control system (10) collects the usage data of the cabinet. Learning through time periods, the usage profile in question is analyzed separately for past days. Continuously updates and cools the resulting profile without the need for record tables. It creates a control infrastructure that is used in managing the work of the group (50). Thanks to the operations performed on the control card (20), 35 is obtained from the sensing group (30). The data obtained are associated with cooling decisions, lighting group (40) and system 13 The situation can be reported to the user and bidirectional data can be transmitted via the user interface (60). Shopping can be done. The scope of protection of the invention is specified in the claims attached hereto, and these details are strictly adhered to. The explanation cannot be limited to those given for illustrative purposes. Because a technically expert 5 the person, without deviating from the main theme of the invention, in light of what has been described above, similar It is clear that these structures can emerge. 14 REFERENCE NUMBERS GIVEN IN THE FIGURE Cooling Cabinet Control System Control Card 5 21 Processor Units 22 Memory Units 23 Wireless Communication Units Detection Group 10 31 Temperature Sensor 32 Door Sensors 40 Lighting Groups 50 Cooling Units 51 Compressors 52 Evaporator Fan 60 User Interface 20

Claims

REQUESTS 1. The invention provides for the control of commercial refrigeration cabinets, relating to the use of the cabinet. At least one detection group (30) that enables the collection of a small amount of usage data, inside the cabin At least one temperature that allows a temperature data to be obtained regarding its temperature 5 sensor (31), at least one compressor (51) that provides cooling of the cabin and at least one The cooling cabinet control system (10) includes an evaporator fan (52); by correlating the aforementioned usage data with different time periods of the day to create a usage profile, a single memory unit (22) for each time period storing the use value, that use value within the relevant time period 10 The current usage data received and the previous usage data stored in the memory unit (22) exponential weighted average relationship using a weighting coefficient between the values update and adjust the cooling setting value according to the created usage profile. a processor unit (21) that enables the operation of the evaporator fan (52) It includes. 15 2. According to claim 1, a cooling cabinet control system (10) has the following features; mentioned usage data, cooling cabinet door opening and closing events door opening data received from at least one door sensor (32) that enables detection that is. 20 3. According to claim 1, a cooling cabinet control system (10) has the following features; usage the usage value for each time period during the creation of the profile It contains a memory unit (22) that enables its storage.

4. According to claim 1, a cooling cabinet control system (10) has the following features; usage a use case value in your profile is below a defined savings threshold This allows the cooling setpoint to be increased within a defined range. It includes the processor unit (21).

5. According to claim 1, a cooling cabinet control system (10) has the following features; usage before the period when increased usage intensity is expected on your profile cooling setting value gradually towards normal usage value It includes the processor unit (21) which enables its replacement. 35 6. According to claim 1, a cooling cabinet control system (10) has the following feature: temperature the temperature data received from the sensor (31) exceeds a defined safety threshold 16 or depending on the usage profile if there is a risk of exceeding that threshold. a processor unit that enables the cooling decision to be overridden (21) It includes.

7. According to claim 1, a cooling cabinet control system (10) has the feature of a single door 5 the opening event or the door opening that occurs within a specific time interval predicting the impact of events on the use value of a given time period It includes the processor unit (21) which is limited by a specified upper limit.

8. According to claim 1, a cooling cabinet control system (10) and its feature is; cooling cabinet 10 the data relating to the control system (10) can be viewed by the user and at least at least one that allows the user to enter a control parameter including user interface (60), a control card with the mentioned user interface (60) (20) at least one wireless communication unit that enables data transfer between (23) including and the aforementioned wireless communication unit (23) Bluetooth Low Energy 15 (BLE) means having a communication infrastructure.

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