Intelligent variable-temperature adjustable refrigerator system and method based on Internet cooperative control

Abstract

The invention discloses an intelligent variable-temperature adjustable freezer system and method based on internet cooperative control, and particularly relates to the technical field of energy-saving freezers. Comprising a use time sequence construction module, an area temperature time sequence construction module, a corresponding relation establishment module, a temperature adjustment identification module, an operation stability analysis module, a temperature stability analysis module and an adjustment feedback module. The corresponding relation between the refrigerator use time and the regional temperature is constructed through the use time sequence and the regional temperature time sequence, and the refrigerator use time and the regional temperature are correlated and compared through the corresponding relation, so that analysis of operation stability and temperature stability is realized, and refrigerator risk assessment is performed based on the analysis result. Therefore, when the refrigerator risk exists, appropriate temperature adjustment is carried out, subjective judgment is reduced, the scientificity and accuracy of decision making are improved, and high practical value is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving freezers, and more specifically, to an intelligent temperature-variable and adjustable freezer system and method based on Internet collaborative control. Background Art

[0002] With the acceleration of the pace of modern life, smart refrigerators have been widely used in the market due to their convenience and long storage period. The application scenarios have expanded from homes and supermarkets to unmanned retail, medical cold chain and other fields. In particular, the penetration rate has increased significantly in convenience stores and fresh food retail scenarios. However, due to the improvement of consumers' living standards, consumers have a strong demand for functions such as precise temperature control, frost-free preservation, and smart interconnection. Traditional quick-freezing equipment and technology still have many shortcomings despite the increase in people's needs.

[0003] Traditional variable temperature adjustable refrigerator methods are mainly based on mechanical control, simple electronic logic or physical structure design to achieve temperature range adjustment and mode switching. However, they still have some shortcomings in actual use. First, the existing temperature adjustment is prone to cause electronic thermostat parameter drift, especially in high temperature and high humidity environments, the refrigerator's thermal insulation performance decreases and energy consumption increases. Based on this situation, energy consumption adjustment is required. However, when the existing thermal insulation effect decreases, the refrigerator's compressor self-protection mechanism may cause frequent power on and off, resulting in limited thermal insulation adjustment effect, and there is a hidden danger of not being able to meet adjustment needs. In addition, frequent power on and off means frequent starting and stopping of the refrigerator, which will increase equipment wear and shorten equipment life. At the same time, frequent start and stop will increase the energy consumption of the refrigerator operation. Second, in order to ensure the insulation effect, the existing refrigerator temperature adjustment generally tends to use mechanical control, simple electronic logic or physical structure design to be adjusted by the user to achieve temperature range adjustment and mode switching. Although manual temperature adjustment of the refrigerator can meet customer needs, switching between multiple temperature zones requires manual operation and cannot automatically adapt to scene changes. At the same time, the lack of an effective early warning mechanism leads to the inability to detect and deal with refrigerator failures in a timely manner, causing greater safety hazards. Summary of the Invention

[0004] In view of this, an embodiment of the present invention provides an intelligent temperature-variable adjustable refrigerator system and method based on Internet collaborative control, which solves the problems raised in the above background technology through the following solutions.

[0005] To achieve the above object, the present invention provides the following technical solutions: A time series construction module is used to use the status monitoring terminal to sense the refrigerator usage status in real time during the operation of the refrigerator and transmit it to the system operation database. The system operation database extracts the refrigerator usage time from the transmitted refrigerator usage status to form a usage time series; The regional temperature time series construction module uses the environmental sensing terminal to sense the temperature of the target refrigerator area in real time and records the temperature sensing time to form a regional temperature time series; The corresponding relationship establishment module maps the usage time series with the regional temperature time series, thereby establishing the corresponding relationship between the refrigerator usage time and the regional temperature; The temperature regulation identification module identifies temperature fluctuation, temperature exposure, and operating energy efficiency of the regional temperature time series, and obtains the temperature regulation parameters of the regional temperature, including temperature fluctuation parameters, temperature exposure parameters, and operating energy efficiency parameters; The operation stability analysis module compares the correlation between refrigerator usage time and regional temperature based on the regional temperature time series and the corresponding relationship between refrigerator usage time and regional temperature, thereby analyzing the refrigerator operation fluctuation coefficient; The temperature stability analysis module forms a correlation curve between the temperature adjustment parameters corresponding to the regional temperature time series and the usage time series, thereby analyzing the refrigerator adjustment evaluation coefficient; The adjustment feedback module conducts refrigerator risk assessment based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, and determines the appropriate temperature adjustment parameters according to the correlation curve. At the same time, the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment results and adjustment results are transmitted to the user terminal according to the preset summary method.

[0006] The intelligent variable temperature adjustable refrigerator method based on Internet collaborative control also includes: S1: Usage time series construction: This is used to use the status monitoring terminal to sense the refrigerator usage status in real time during the refrigerator operation process and transmit it to the system operation database. The system operation database extracts the refrigerator usage time from the transmitted refrigerator usage status to form a usage time series; S2: Regional temperature time series construction: Use the environmental sensing terminal to sense the temperature of the target refrigerator area in real time and record the temperature sensing time to form a regional temperature time series; S3: Establishing a corresponding relationship: Mapping the usage time series with the regional temperature time series to establish a corresponding relationship between the refrigerator usage time and the regional temperature; S4: Temperature regulation identification: The temperature fluctuation, temperature exposure and operating energy efficiency of the regional temperature time series are identified respectively to obtain the temperature regulation parameters of the regional temperature, including temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters; S5: Operation stability analysis: Based on the regional temperature time series and the corresponding relationship between the refrigerator usage time and the regional temperature, the correlation between the refrigerator usage time and the regional temperature is compared to analyze the refrigerator operation fluctuation coefficient; S6: Temperature stability analysis: The temperature adjustment parameters corresponding to the regional temperature time series are correlated with the usage time series to form a correlation curve, thereby analyzing the refrigerator adjustment evaluation coefficient; S7: Freezer adjustment feedback: Refrigerator risk assessment is performed based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, and the appropriate temperature adjustment parameters are determined according to the correlation curve. At the same time, the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment results and adjustment results are transmitted to the user terminal according to the preset summary method.

[0007] The technical effects and advantages of the present invention are as follows: 1. The present invention requires that the status monitoring terminal and the environment sensing terminal maintain a consistent acquisition frequency when sensing the usage status and temperature of the refrigerator. This ensures the temporal synchronization of the operating data and the temperature data. Thus, the temperature data acquired at each time point can correspond to the operating data, avoiding time deviations between the data. This also facilitates the subsequent mapping of the usage time series and the regional temperature time series. The correlation between the refrigerator usage time and the temperature sensing time can be quickly identified through the refrigerator usage time and the temperature sensing time. When the refrigerator is in use, the refrigerator usage time and temperature sensing time constructed through the mapping can correspond one-to-one, providing a basis for the subsequent evaluation of the operating performance and temperature. 2. This invention analyzes the temperature regulation of refrigerators from three aspects: temperature fluctuation, temperature exposure, and operating energy efficiency. This makes the temperature regulation analysis more comprehensive. Furthermore, based on the correlation curve formed by the temperature regulation parameters and the usage time series, the rate of change of the refrigerator usage time is obtained. This allows analysis of the refrigerator operation fluctuation coefficient, thereby providing an accurate assessment of the intelligent variable temperature adjustable refrigerator system under dynamic conditions. This can more flexibly reflect the fluctuation of the refrigerator usage time and provide a basis for subsequent temperature change adjustments. 3. The present invention constructs a correspondence between the use time of refrigerators and the regional temperature by using time series and regional temperature time series, and compares the use time of refrigerators and regional temperature through the correspondence, thereby realizing analysis of operation stability and temperature stability, and performing refrigerator risk assessment based on the analysis results, determining appropriate temperature adjustment parameters, and thus performing appropriate temperature adjustment when there is a refrigerator risk, reducing subjective judgment, improving the scientific nature and accuracy of decision-making, and having high practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0009] Figure 2 Schematic diagram of the equipment connections used in the present invention.

[0010] Figure 3 A flow chart is established for the corresponding relationship of the present invention.

[0011] Figure 4 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0012] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0013] As attached Figure 1 The intelligent variable temperature adjustable refrigerator system based on Internet collaborative control shown includes an environmental sensing terminal, a status monitoring terminal, an adjustment collaborative device, a user terminal, a system operation database and a control center. The environmental sensing terminal and the status monitoring terminal are both set on the adjustment collaborative device. The adjustment collaborative device is used to execute temperature adjustment instructions and is composed of different actuators, wherein different actuators are suitable for different temperature change scenarios.

[0014] In a more specific application of the present invention, the environmental sensing terminal is used to sense the temperature data of the refrigerator area in real time, which can be a temperature sensor and a humidity sensor. The temperature sensor can sense the temperature of the refrigerator area. The refrigerator area includes the freezing area, the refrigeration area and the door edge area. By installing sensors in multiple areas of the refrigerator, the temperature changes in different areas can be identified, and the risk of equipment damage and the possible shutdown caused by it can be effectively reduced.

[0015] The status monitoring terminal is used to perceive the operating status of the refrigerator in real time when the temperature is adjusted, and to perceive the usage status of the refrigerator, including the start and stop time of the refrigerator, the frequency of opening the door, etc. Specifically, it monitors the energy consumption and cooling capacity of the refrigerator. The status monitoring terminal is composed of an electricity metering chip.

[0016] It needs to be explained that the main reason for monitoring the energy consumption and cooling capacity of the refrigerator during the temperature adjustment process of the refrigerator is that these two parameters can directly affect the safety of the refrigerator operation process. Specifically, the refrigerator consumes huge energy for user use during operation, especially when the user opens the refrigerator door for a long time or opens the door frequently. The high energy consumption period or abnormal situation can be found through energy consumption and cooling capacity, so as to adjust the usage mode or maintain the equipment. For example, if the refrigerator is still running with high energy consumption at night, it may mean that the temperature is set improperly or the door is not sealed tightly, resulting in cold air leakage, and more energy is needed to maintain the temperature. Monitoring the energy consumption and cooling capacity of the refrigerator can prevent abnormal operation of the refrigerator and ensure the normal operation of the refrigerator.

[0017] The user terminal is used to receive information output from the refrigerator to adjust the temperature, and connect the refrigerator to the user terminal through the Internet to remotely set the refrigerator temperature, view energy consumption reports, and push alarms.

[0018] The system operation database is used to store all data texts of the intelligent variable temperature adjustable refrigerator system, and collect the information texts output by each module in real time.

[0019] The control center is used to analyze and control relevant parameters based on the monitoring data of the above equipment during the temperature adjustment process.

[0020] The connection method of the above-mentioned environment sensing terminal, status monitoring terminal, adjustment coordination device, user terminal, system operation database and control center is shown in Figure 2 .

[0021] The specific implementation of the present invention includes the following contents: A time series construction module is used to utilize the status monitoring terminal to perceive the refrigerator usage status in real time during the operation of the refrigerator and transmit it to the system operation database. The system operation database extracts the refrigerator usage time from the transmitted refrigerator usage status to form a usage time series.

[0022] The regional temperature time series construction module uses the environmental sensing terminal to sense the temperature of the target refrigerator area in real time, and records the temperature sensing time to form a regional temperature time series.

[0023] In this embodiment, it should be specifically explained that the target freezer area includes the freezing area, the refrigeration area and the door edge area. A single temperature sensor can only reflect the temperature of the freezer as a whole or a certain location. By monitoring the target freezer area, the problem area can be quickly located. When an abnormal temperature is detected in a certain area, the system can trigger an alarm for the area alone and adjust the temperature of the area first to avoid affecting other normal areas.

[0024] It should be explained that the status monitoring terminal and the environmental perception terminal need to maintain a consistent collection frequency when sensing the usage status and temperature of the refrigerator. This can ensure the temporal synchronization of the operating data and the temperature data. Therefore, the temperature data obtained at each time point can correspond to the operating data, avoiding time deviations between the data. It also facilitates the subsequent mapping of the usage time series and the regional temperature time series.

[0025] The corresponding relationship establishment module maps the usage time series with the regional temperature time series, thereby establishing the corresponding relationship between the refrigerator usage time and the regional temperature.

[0026] See also Figure 3 Establish a flow chart for the correspondence between refrigerator usage time and regional temperature.

[0027] In this embodiment, it should be specifically explained that the corresponding relationship between the refrigerator usage time and the regional temperature is established as follows: Number the corresponding refrigerator usage time in the usage time series in chronological order; The corresponding temperature perception times in the regional temperature time series are numbered in chronological order; According to the one-to-one correspondence principle, the corresponding numbered refrigerator usage time and temperature perception time are extracted from the usage time series and the regional temperature time series to form a mapping group; According to the refrigerator usage time and temperature sensing time in each mapping group, the regional temperature corresponding to the refrigerator usage time in each mapping group is obtained; The corresponding relationship between the refrigerator usage time and the regional temperature is established based on the regional temperature corresponding to the refrigerator usage time in each mapping group.

[0028] It should be explained that before the correspondence between the refrigerator usage time and the regional temperature, the usage time series and the regional temperature time series are mapped, thereby aligning the time series data of different data sources. Through the refrigerator usage time and temperature perception time, the correlation between the refrigerator usage area temperature can be quickly identified. When the refrigerator is in use, the target area temperature fluctuates with the increase in the refrigerator usage time. In this case, the refrigerator usage time and temperature perception time constructed after mapping can correspond one to one, providing a basis for subsequent operation performance and temperature evaluation.

[0029] It should be further explained that although the state monitoring terminal and the environmental perception terminal maintain the same collection frequency when performing state monitoring and environmental perception, state monitoring is usually performed in real time. When the refrigerator door is opened, the temperature change is instantaneous and delayed, which means that there may be time inconsistencies between state monitoring and temperature perception. Therefore, even if the collection frequency is consistent, due to the delay in the refrigerator processing response, there is an error in obtaining the regional temperature corresponding to the time used in each mapping group. Therefore, the collection time interval is introduced. For example, the time interval can be determined by monitoring the moment when the refrigerator door is opened through the state monitoring terminal, which is recorded as the event timestamp, and monitoring the moment when the temperature of the target refrigerator area begins to deviate significantly from the stable value through the environmental perception terminal, which is recorded as the temperature mutation timestamp. At this time, the time difference is the difference between the event timestamp and the temperature mutation timestamp, and the time difference is used as the collection time interval of the refrigerator.

[0030] The temperature regulation identification module identifies temperature fluctuation, temperature exposure and operating energy efficiency of the regional temperature time series respectively, and obtains the temperature regulation parameters of the regional temperature, specifically including temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters.

[0031] In this embodiment, it should be specifically explained that the temperature fluctuation identification uses the temperature sensor of the environment sensing terminal to sense the temperature of each target refrigerator area, extracts the regional temperature corresponding to the refrigerator usage time, calculates the standard deviation of the regional temperature corresponding to each regional temperature time series, and thus identifies the temperature fluctuation of the target refrigerator area; Temperature exposure identification is based on the spatiotemporal alignment of the freezer operation time series and the regional temperature time series. By comparing the regional temperature corresponding to the freezer usage time with the set safety temperature threshold, a quantitative assessment of temperature anomalies is achieved. Specifically, if the temperature in the monitored area is continuously higher than the upper safety temperature limit or lower than the lower safety temperature limit, the system automatically starts a timing mechanism and counts the duration of the temperature exceeding the set safety temperature. The accumulated temperature exposure is then calculated based on the temperature deviation amplitude, thereby identifying temperature exposure. Operational energy efficiency identification monitors the real-time energy consumption and cooling capacity of the refrigerator through the status monitoring terminal, and builds an energy efficiency evaluation model based on the principles of thermodynamics. Specifically, it includes: normalizing the real-time monitored cooling capacity and energy consumption, and calculating the system energy efficiency ratio. The system energy efficiency ratio is obtained by comparing the cooling capacity with the energy consumption of the refrigerator, reflecting the cooling efficiency of the refrigerator under unit energy consumption. Through continuous tracking and analysis of the energy efficiency ratio, the energy efficiency level of the refrigerator during operation can be accurately judged, and abnormal energy consumption, such as low efficiency and energy waste, can be discovered in time.

[0032] It should be further explained that the temperature fluctuation parameter is the regional temperature standard deviation, where the regional temperature standard deviation is the dynamic change amplitude and frequency of the target refrigerator area temperature in the regional temperature time series; the temperature exposure parameter is the temperature exposure accumulation, where the temperature exposure accumulation is the degree to which the refrigerator area temperature exceeds the safety threshold. By accurately locating the temperature abnormality area and duration, data support is provided for the optimization of the temperature control strategy of cold chain items. The operating energy efficiency parameter is the system energy efficiency ratio, where the system energy efficiency ratio is the cooling capacity under unit power consumption. Based on the energy efficiency identification results, the operation strategy of the refrigerator can be further optimized, energy utilization efficiency can be improved, and operating costs can be reduced. At the same time, scientific data support is provided for the maintenance and management of the refrigerator to ensure that the refrigerator is always in an efficient and energy-saving operating state.

[0033] The present invention analyzes the temperature regulation of the refrigerator from three aspects: temperature fluctuation, temperature exposure and operating energy efficiency. This makes the temperature regulation analysis more comprehensive, reflects the overall effect of the refrigerator during temperature regulation, and captures refrigerator temperature anomalies from different aspects, thereby providing a more complete anomaly assessment.

[0034] The operation stability analysis module compares the correlation between the refrigerator usage time and the regional temperature based on the regional temperature time series and the corresponding relationship between the refrigerator usage time and the regional temperature, thereby analyzing the refrigerator operation fluctuation coefficient.

[0035] In this embodiment, it should be specifically explained that the correlation comparison between the refrigerator usage time and the regional temperature specifically includes: The temperature perception time is obtained according to the regional temperature time series, and a coordinate system is constructed with the temperature perception time as the horizontal axis and the regional temperature as the vertical axis, and several points are marked to form a temperature change curve; In the formed regional temperature change curve, the refrigerator usage time is used as the vertical coordinate, and the refrigerator usage time corresponding to each regional temperature is marked according to the corresponding relationship between the refrigerator usage time and the regional temperature to form the refrigerator usage time change curve.

[0036] It should be explained that the target refrigerator area includes multiple areas, so when constructing the temperature change curve, it is necessary to calculate the average temperature of multiple areas, thereby evaluating the temperature change of the entire refrigerator.

[0037] It should be added that drawing a horizontal coordinate and multiple vertical coordinates in a coordinate system usually represents the relationship between multiple different coordinates under a specific horizontal coordinate. In this embodiment, the temperature change curve constructed based on the regional temperature time series has a corresponding relationship between the refrigerator usage time and the regional temperature. Therefore, the refrigerator usage time change curve can be constructed based on the temperature change curve.

[0038] It should be further explained that the analysis of the freezer operation fluctuation coefficient is as follows: based on the temperature change curve, the inflection points are taken and the regional temperatures corresponding to each inflection point are marked; Based on the regional temperature corresponding to each inflection point, a reference point is marked on the refrigerator usage time change curve, and the tangent slope of each reference point is obtained as the refrigerator usage time change rate of each reference point; The refrigerator operation fluctuation coefficient is obtained based on the change rate of the refrigerator usage time corresponding to the reference point of each inflection point, which is specifically expressed as: , Where WT represents the fluctuation coefficient of refrigerator operation, m i It represents the rate of change of the refrigerator usage time of the i-th inflection point corresponding to the control point, i represents the inflection point number, i=1, 2, …, n, and n represents the total number of inflection points on the temperature change curve. When the regional temperature changes, the greater the change in the refrigerator usage time, the greater the refrigerator operation fluctuation coefficient.

[0039] It should be explained that the inflection point is the point where the regional temperature changes in the time series. When analyzing the freezer operation fluctuation coefficient, the point where the regional temperature changes is selected on the temperature change curve, and then the freezer usage time change rate corresponding to the point is obtained. The freezer operation fluctuation coefficient is analyzed, thereby providing an accurate evaluation of the intelligent variable temperature adjustable freezer system under dynamic conditions, which can more flexibly reflect the fluctuation of the freezer usage time and provide a basis for subsequent adjustments to temperature changes.

[0040] It should be understood that the present invention monitors the usage time of the refrigerator in the scenario of temperature changes because the usage time of the refrigerator can reflect the operating stability of the refrigerator. If the refrigerator door is frequently opened and closed or the compressor is frequently started and stopped, the usage time of the refrigerator will fluctuate significantly. At this time, the temperature field inside the refrigerator will fluctuate due to the loss of cold energy. Therefore, adjusting the temperature of the refrigerator under different fluctuations in the usage time of the refrigerator helps to ensure that the system can provide more reliable temperature regulation in a rapidly changing external environment.

[0041] The temperature stability analysis module forms a correlation curve between the temperature adjustment parameters corresponding to the regional temperature time series and the usage time series, thereby analyzing the refrigerator adjustment evaluation coefficient.

[0042] In this embodiment, it should be specifically explained that the correlation curve is formed as follows: Arrange the regional temperatures in the regional temperature time series in descending order; According to the corresponding relationship between the use time of the refrigerator and the regional temperature, the temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters of the regional temperature corresponding to the use time of each refrigerator are extracted respectively; A coordinate system is constructed with the refrigerator usage time as the horizontal axis and the temperature fluctuation parameter, temperature exposure parameter and operation energy efficiency parameter as the vertical axis; Based on the arrangement order of the regional temperatures and the temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters of the regional temperatures corresponding to the usage time of each refrigerator, points are marked in the coordinate system, thereby forming a correlation curve between the refrigerator usage time and temperature fluctuation, temperature exposure and operating efficiency.

[0043] It should be further explained that the freezer adjustment evaluation coefficient analysis is as follows: The regional temperature is uniformly taken on the abscissa of the correlation curve, and the temperature fluctuation change rate, temperature exposure change rate and operating energy efficiency change rate corresponding to the use time of each refrigerator are extracted from the correlation curve; The absolute value of the temperature fluctuation change rate, temperature exposure change rate, and operating energy efficiency change rate corresponding to the use time of each refrigerator is calculated, and the maximum adjustment change rate and the minimum adjustment change rate are extracted according to the absolute value calculation results; The maximum adjustment change rate and the minimum adjustment change rate are respectively subtracted, and then the subtraction result is compared with the maximum adjustment change rate to obtain the adjustment change rate difference value corresponding to the use time of each refrigerator; The maximum adjustment change rate corresponding to the use time of each refrigerator is subtracted from the adjustment change rate corresponding to the use time of the adjacent refrigerators, and the standard deviation of all the difference data is calculated and used as the adjustment fluctuation; The refrigerator adjustment evaluation model is established by combining the adjustment change rate difference value and adjustment fluctuation corresponding to the use time of each refrigerator to obtain the refrigerator adjustment evaluation coefficient, which is specifically expressed as: , Where LT represents the refrigerator adjustment evaluation coefficient, Ct represents the difference in the temperature fluctuation adjustment change rate corresponding to each refrigerator usage time, Mt represents the difference in the temperature exposure adjustment change rate corresponding to each refrigerator usage time, Tt represents the difference in the operating energy efficiency adjustment change rate corresponding to each refrigerator usage time, Bo represents the adjustment fluctuation, and k represents the refrigerator usage time number, k = 1, 2, …, j. The larger the difference in the adjustment change rate, the greater the adjustment fluctuation, and the more necessary the temperature adjustment is at each refrigerator usage time.

[0044] It should be explained that the maximum value is selected from the temperature fluctuation change rate, temperature exposure change rate and operating energy efficiency change rate corresponding to the use time of each refrigerator to calculate the adjustment fluctuation because the maximum adjustment change rate can reflect the most serious changes during the use time of the refrigerator, ensuring that temperature adjustment is not limited to a single evaluation, thereby more accurately reflecting the temperature changes.

[0045] The adjustment feedback module conducts refrigerator risk assessment based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, and determines the appropriate temperature adjustment parameters according to the correlation curve. At the same time, the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment results and adjustment results are transmitted to the user terminal according to the preset summary method.

[0046] In this embodiment, it should be specifically explained that the risk assessment of the refrigerator is as follows: The freezer adjustment risk assessment index is obtained by performing square root calculation based on the freezer operation fluctuation coefficient and the freezer adjustment assessment coefficient. It is specifically expressed as: , RS represents the freezer adjustment risk assessment index, WT represents the freezer operation fluctuation coefficient, and LT represents the freezer adjustment assessment coefficient. The greater the freezer operation fluctuation and the freezer temperature adjustment fluctuation, the greater the risk of the freezer in this temperature range and the need for temperature adjustment. Based on the distribution of historical data, the risk threshold is dynamically set according to the quantile method. For example, the risk threshold is 95% of the historical data. The refrigerator adjustment risk assessment index is compared with the risk threshold. If the refrigerator adjustment risk assessment index is greater than or equal to the risk threshold, it is marked as high risk. At this time, the temperature is adjusted according to the appropriate temperature adjustment parameters through the control center. If the refrigerator adjustment risk assessment index is less than the risk threshold, it is marked as low risk. No adjustment is required at this time, and the refrigerator risk assessment results and adjustment results are transmitted to the user terminal according to the preset summary method, where the preset summary method includes a combination of report summary, picture summary and chart summary.

[0047] It should be further explained that the appropriate temperature adjustment parameters are determined as follows: the minimum values ​​of the temperature fluctuation change rate, temperature exposure change rate, and operating energy efficiency change rate corresponding to the use time of each refrigerator are extracted, and the temperature adjustment parameters corresponding to the minimum adjustment change rate for the use time of each refrigerator are recorded; The temperature adjustment parameters with the minimum adjustment change rate corresponding to the use time of each refrigerator are classified, so as to count the occurrence frequency of the same temperature adjustment parameters, and the temperature adjustment parameter with the maximum occurrence frequency is extracted as the appropriate temperature adjustment parameter.

[0048] As attached Figure 4 The method for an intelligent temperature-adjustable refrigerator based on Internet collaborative control shown in the figure further includes: S1: Usage time series construction: This is used to use the status monitoring terminal to sense the refrigerator usage status in real time during the refrigerator operation process and transmit it to the system operation database. The system operation database extracts the refrigerator usage time from the transmitted refrigerator usage status to form a usage time series; S2: Regional temperature time series construction: Use the environmental sensing terminal to sense the temperature of the target refrigerator area in real time and record the temperature sensing time to form a regional temperature time series; S3: Establishing a corresponding relationship: Mapping the usage time series with the regional temperature time series to establish a corresponding relationship between the refrigerator usage time and the regional temperature; S4: Temperature regulation identification: The temperature fluctuation, temperature exposure and operating energy efficiency of the regional temperature time series are identified respectively to obtain the temperature regulation parameters of the regional temperature, including temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters; S5: Operation stability analysis: Based on the regional temperature time series and the corresponding relationship between the refrigerator usage time and the regional temperature, the correlation between the refrigerator usage time and the regional temperature is compared to analyze the refrigerator operation fluctuation coefficient; S6: Temperature stability analysis: The temperature adjustment parameters corresponding to the regional temperature time series are correlated with the usage time series to form a correlation curve, thereby analyzing the refrigerator adjustment evaluation coefficient; S7: Freezer adjustment feedback: Refrigerator risk assessment is performed based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, and the appropriate temperature adjustment parameters are determined according to the correlation curve. At the same time, the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment results and adjustment results are transmitted to the user terminal according to the preset summary method.

[0049] Secondly: The drawings of the embodiments disclosed in the present invention only involve structures related to the embodiments disclosed in the present invention. Other structures may refer to conventional designs. The same embodiment and different embodiments of the present invention may be combined with each other without conflict. Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control is characterized by: It includes the use of time series construction module, regional temperature time series construction module, corresponding relationship establishment module, temperature regulation identification module, operation stability analysis module, temperature stability analysis module, and regulation feedback module, specifically including: A time series construction module is used to use the status monitoring terminal to sense the refrigerator usage status in real time during the operation of the refrigerator and transmit it to the system operation database. The system operation database extracts the refrigerator usage time from the transmitted refrigerator usage status to form a usage time series; The regional temperature time series construction module uses the environmental sensing terminal to sense the temperature of the target refrigerator area in real time and records the temperature sensing time to form a regional temperature time series; The corresponding relationship establishment module maps the usage time series with the regional temperature time series, thereby establishing the corresponding relationship between the refrigerator usage time and the regional temperature; The temperature regulation identification module identifies temperature fluctuation, temperature exposure, and operating energy efficiency of the regional temperature time series, and obtains the temperature regulation parameters of the regional temperature, including temperature fluctuation parameters, temperature exposure parameters, and operating energy efficiency parameters; The operation stability analysis module compares the correlation between refrigerator usage time and regional temperature based on the regional temperature time series and the corresponding relationship between refrigerator usage time and regional temperature, thereby analyzing the refrigerator operation fluctuation coefficient; The temperature stability analysis module forms a correlation curve between the temperature adjustment parameters corresponding to the regional temperature time series and the usage time series, thereby analyzing the refrigerator adjustment evaluation coefficient; The adjustment feedback module conducts refrigerator risk assessment based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, and determines the appropriate temperature adjustment parameters according to the correlation curve. At the same time, the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment results and adjustment results are transmitted to the user terminal according to the preset summary method.

2. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control according to claim 1 is characterized by: The corresponding relationship between the refrigerator usage time and the regional temperature is established as follows: Number the corresponding refrigerator usage time in the usage time series in chronological order; The corresponding temperature perception times in the regional temperature time series are numbered in chronological order; According to the one-to-one correspondence principle, the corresponding numbered refrigerator usage time and temperature perception time are extracted from the usage time series and the regional temperature time series to form a mapping group; According to the refrigerator usage time and temperature sensing time in each mapping group, the regional temperature corresponding to the refrigerator usage time in each mapping group is obtained; The corresponding relationship between the refrigerator usage time and the regional temperature is established based on the regional temperature corresponding to the refrigerator usage time in each mapping group.

3. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control according to claim 1 is characterized by: The correlation comparison between the refrigerator usage time and the regional temperature specifically includes: The temperature perception time is obtained according to the regional temperature time series, and a coordinate system is constructed with the temperature perception time as the horizontal axis and the regional temperature as the vertical axis, and several points are marked to form a temperature change curve; In the formed regional temperature change curve, the refrigerator usage time is used as the vertical coordinate, and the refrigerator usage time corresponding to each regional temperature is marked according to the corresponding relationship between the refrigerator usage time and the regional temperature to form the refrigerator usage time change curve.

4. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control according to claim 1 is characterized by: The freezer operation fluctuation coefficient analysis is as follows: based on the temperature change curve, the inflection points are taken and the regional temperatures corresponding to each inflection point are marked; Based on the regional temperature corresponding to each inflection point, a reference point is marked on the refrigerator usage time change curve, and the tangent slope of each reference point is obtained as the refrigerator usage time change rate of each reference point; The refrigerator operation fluctuation coefficient is obtained based on the change rate of refrigerator usage time at the control point corresponding to each inflection point.

5. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control according to claim 1 is characterized by: The correlation curve is formed as follows: Arrange the regional temperatures in the regional temperature time series in descending order; According to the corresponding relationship between the use time of the refrigerator and the regional temperature, the temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters of the regional temperature corresponding to the use time of each refrigerator are extracted respectively; A coordinate system is constructed with the refrigerator usage time as the horizontal axis and the temperature fluctuation parameter, temperature exposure parameter and operation energy efficiency parameter as the vertical axis; Based on the arrangement order of the regional temperatures and the temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters of the regional temperatures corresponding to the usage time of each refrigerator, points are marked in the coordinate system, thereby forming a correlation curve between the refrigerator usage time and temperature fluctuation, temperature exposure and operating efficiency.

6. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control according to claim 1 is characterized by: The freezer adjustment evaluation coefficient is analyzed as follows: The regional temperature is uniformly taken on the abscissa of the correlation curve, and the temperature fluctuation change rate, temperature exposure change rate and operating energy efficiency change rate corresponding to the use time of each refrigerator are extracted from the correlation curve; The absolute value of the temperature fluctuation change rate, temperature exposure change rate, and operating energy efficiency change rate corresponding to the use time of each refrigerator is calculated, and the maximum adjustment change rate and the minimum adjustment change rate are extracted according to the absolute value calculation results; The maximum adjustment change rate and the minimum adjustment change rate are respectively subtracted, and then the subtraction result is compared with the maximum adjustment change rate to obtain the adjustment change rate difference value corresponding to the use time of each refrigerator; The maximum adjustment change rate corresponding to the use time of each refrigerator is subtracted from the adjustment change rate corresponding to the use time of the adjacent refrigerators, and the standard deviation of all the difference data is calculated and used as the adjustment fluctuation; The refrigerator adjustment evaluation model is established by combining the adjustment change rate difference value and adjustment fluctuation corresponding to the use time of each refrigerator to obtain the refrigerator adjustment evaluation coefficient, which is specifically expressed as: ， Where LT represents the refrigerator adjustment evaluation coefficient, Ct represents the difference in the temperature fluctuation adjustment change rate corresponding to each refrigerator usage time, Mt represents the difference in the temperature exposure adjustment change rate corresponding to each refrigerator usage time, Tt represents the difference in the operating energy efficiency adjustment change rate corresponding to each refrigerator usage time, Bo represents the adjustment fluctuation, and k represents the refrigerator usage time number, where k = 1, 2, …, j.

7. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control according to claim 1 is characterized by: The freezer risk assessment is as follows: The freezer adjustment risk assessment index is obtained by performing square root calculation based on the freezer operation fluctuation coefficient and the freezer adjustment assessment coefficient. It is specifically expressed as: ， RS represents the refrigerator adjustment risk assessment index, WT represents the refrigerator operation fluctuation coefficient, and LT represents the refrigerator adjustment assessment coefficient; A risk threshold is set, the refrigerator adjustment risk assessment index is compared with the risk threshold, and the refrigerator risk assessment result and the adjustment result are transmitted to the user terminal according to a preset summary method, wherein the preset summary method includes a combination of a report summary, a picture summary, and a chart summary.

8. The intelligent temperature-adjustable refrigerator system based on Internet collaborative control according to claim 1 is characterized by: The suitable temperature adjustment parameters are determined as follows: extracting the minimum value of the temperature fluctuation change rate, temperature exposure change rate, and operating energy efficiency change rate corresponding to the use time of each refrigerator, and recording the temperature adjustment parameter corresponding to the minimum adjustment change rate for the use time of each refrigerator; The temperature adjustment parameters with the minimum adjustment change rate corresponding to the use time of each refrigerator are classified, so as to count the occurrence frequency of the same temperature adjustment parameters, and the temperature adjustment parameter with the maximum occurrence frequency is extracted as the appropriate temperature adjustment parameter.

9. The method for intelligent temperature-adjustable refrigerator based on Internet collaborative control according to any one of claims 1 to 8, characterized in that: S1: Usage time series construction: This is used to use the status monitoring terminal to sense the refrigerator usage status in real time during the refrigerator operation process and transmit it to the system operation database. The system operation database extracts the refrigerator usage time from the transmitted refrigerator usage status to form a usage time series; S2: Regional temperature time series construction: Use the environmental sensing terminal to sense the temperature of the target refrigerator area in real time and record the temperature sensing time to form a regional temperature time series; S3: Establishing a corresponding relationship: Mapping the usage time series with the regional temperature time series to establish a corresponding relationship between the refrigerator usage time and the regional temperature; S4: Temperature regulation identification: The temperature fluctuation, temperature exposure and operating energy efficiency of the regional temperature time series are identified respectively to obtain the temperature regulation parameters of the regional temperature, including temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters; S5: Operation stability analysis: Based on the regional temperature time series and the corresponding relationship between the refrigerator usage time and the regional temperature, the correlation between the refrigerator usage time and the regional temperature is compared to analyze the refrigerator operation fluctuation coefficient; S6: Temperature stability analysis: The temperature adjustment parameters corresponding to the regional temperature time series are correlated with the usage time series to form a correlation curve, thereby analyzing the refrigerator adjustment evaluation coefficient; S7: Freezer adjustment feedback: Refrigerator risk assessment is performed based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, and the appropriate temperature adjustment parameters are determined according to the correlation curve. At the same time, the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment results and adjustment results are transmitted to the user terminal according to the preset summary method.

10. The method for intelligent temperature-adjustable refrigerator based on Internet collaborative control according to any one of claim 9, characterized in that: The specific process of determining the appropriate temperature adjustment parameters is as follows: Extract the minimum values ​​of the temperature fluctuation change rate, temperature exposure change rate, and operating energy efficiency change rate corresponding to the use time of each refrigerator, and record the temperature adjustment parameters corresponding to the minimum adjustment change rate of each refrigerator; The temperature adjustment parameters with the minimum adjustment change rate corresponding to the use time of each refrigerator are classified, so as to count the occurrence frequency of the same temperature adjustment parameters, and the temperature adjustment parameter with the maximum occurrence frequency is extracted as the appropriate temperature adjustment parameter.

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