Intelligent variable temperature adjustable refrigerator system and method based on internet collaborative control

Abstract

The application discloses an intelligent temperature-variable adjustable refrigerator system and method based on internet collaborative control, and particularly relates to the technical field of energy-saving refrigerators, which comprises a use time sequence construction module, a regional temperature time sequence construction module, a corresponding relation establishment module, a temperature adjustment identification module, a running stability analysis module, a temperature stability analysis module and a regulation feedback module.The application establishes the corresponding relation between the refrigerator use time and the regional temperature through the use time sequence and the regional temperature time sequence, and correlates and compares the refrigerator use time and the regional temperature through the corresponding relation, so as to realize the analysis of the running stability and the temperature stability, perform the refrigerator risk assessment based on the analysis result, determine the appropriate temperature adjustment parameter, and thus perform the appropriate temperature adjustment when the refrigerator risk exists, reduce the subjective judgment, improve the scientificity and accuracy of the decision, and have high practical value.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy-saving ice cabinets, and more particularly to an intelligent variable-temperature adjustable refrigerator system and method based on internet collaborative control. BACKGROUND

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

[0003] The traditional variable-temperature adjustable refrigerator method is mainly based on mechanical control, simple electronic logic or physical structure design to realize temperature interval adjustment and mode switching. However, in actual use, it still has some shortcomings. First, the existing temperature adjustment may cause the parameter drift of the electronic temperature controller, especially in a high-temperature and high-humidity environment. The refrigerator insulation performance decreases, and the energy consumption increases. Based on this situation, energy consumption adjustment is needed. However, when the existing refrigerator insulation effect decreases, the compressor self-protection mechanism may cause frequent on-off, which limits the insulation adjustment effect and poses a risk of not meeting the adjustment requirements. In addition, frequent on-off means frequent start and stop of the refrigerator operation, which increases the wear and tear of the equipment and shortens the service life of the equipment. Meanwhile, frequent start and stop increase the energy consumption of the refrigerator operation.

[0004] Second, in order to ensure the insulation effect during the temperature adjustment of the existing refrigerator, mechanical control, simple electronic logic or physical structure design is generally used for adjustment by the user to realize temperature interval adjustment and mode switching. Although manual temperature adjustment of the refrigerator can meet the customer's demand, multi-temperature zone switching needs to be manually operated and cannot automatically adapt to the scene change. At the same time, there is a lack of effective early warning mechanism, which may cause the refrigerator to be unable to be found and handled in time when a fault occurs, resulting in greater safety hazards. SUMMARY

[0005] Therefore, the embodiments of the present application provide an intelligent variable-temperature adjustable refrigerator system and method based on internet collaborative control to solve the problems in the background art.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0007] a use time sequence construction module, configured to utilize a state monitoring terminal to sense a use condition of the refrigerator in real time during a running process of the refrigerator, and transmit the use condition of the refrigerator to a system running database, and extract, by the system running database, a use time of the refrigerator from the transmitted use condition of the refrigerator, to form a use time sequence;

[0008] a region temperature time sequence construction module, configured to utilize an environment sensing terminal to sense a temperature of a target refrigerator region in real time, and record a temperature sensing time, to form a region temperature time sequence;

[0009] a corresponding relationship establishment module, configured to map the use time sequence and the region temperature time sequence, to establish a corresponding relationship between the use time of the refrigerator and the region temperature;

[0010] a temperature regulation identification module, configured to identify, respectively, a temperature fluctuation, a temperature exposure and a running energy efficiency of the region temperature time sequence, to obtain temperature regulation parameters of the region temperature, specifically including a temperature fluctuation parameter, a temperature exposure parameter and a running energy efficiency parameter;

[0011] a running stability analysis module, configured to compare, based on the region temperature time sequence and the corresponding relationship between the use time of the refrigerator and the region temperature, the use time of the refrigerator and the region temperature, to analyze a refrigerator running fluctuation coefficient;

[0012] a temperature stability analysis module, configured to form an associated curve between the temperature regulation parameters corresponding to the region temperature time sequence and the use time sequence, to analyze a refrigerator regulation evaluation coefficient;

[0013] a regulation feedback module, configured to perform a refrigerator risk evaluation based on the refrigerator running fluctuation coefficient and the refrigerator temperature stability coefficient, to determine an appropriate temperature regulation parameter according to the associated curve, to adjust the temperature of the refrigerator through a control center, and to transmit, to a user terminal, a refrigerator risk evaluation result and an adjustment result in a preset summary mode.

[0014] The intelligent variable-temperature adjustable refrigerator method based on internet collaborative control further comprises:

[0015] S1: use time sequence construction, configured to utilize a state monitoring terminal to sense a use condition of the refrigerator in real time during a running process of the refrigerator, and transmit the use condition of the refrigerator to a system running database, and extract, by the system running database, a use time of the refrigerator from the transmitted use condition of the refrigerator, to form a use time sequence;

[0016] S2: region temperature time sequence construction, configured to utilize an environment sensing terminal to sense a temperature of a target refrigerator region in real time, and record a temperature sensing time, to form a region temperature time sequence;

[0017] S3: corresponding relationship establishment, configured to map the use time sequence and the region temperature time sequence, to establish a corresponding relationship between the use time of the refrigerator and the region temperature;

[0018] S4: Temperature regulation identification: temperature fluctuations, temperature exposure, and operation energy efficiency of the region temperature time series are identified respectively to obtain the temperature regulation parameters of the region temperature, including temperature fluctuation parameters, temperature exposure parameters, and operation energy efficiency parameters;

[0019] S5: Operation stability analysis: based on the region temperature time series and the corresponding relationship between the refrigerator usage time and the region temperature, the refrigerator usage time and the region temperature are associated and compared, thereby analyzing the refrigerator operation fluctuation coefficient;

[0020] S6: Temperature stability analysis: the temperature regulation parameters corresponding to the region temperature time series are associated with the usage time sequence to form an association curve, thereby analyzing the refrigerator regulation evaluation coefficient;

[0021] S7: Refrigerator regulation feedback: based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, the refrigerator risk assessment is performed, and the appropriate temperature regulation parameters are determined according to the association curve, and the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment results and the adjustment results are transmitted to the user terminal according to the preset summary mode.

[0022] The technical effects and advantages of the present application are:

[0023] 1、The present application needs to maintain consistent collection frequency when sensing the refrigerator usage condition and temperature through the state monitoring terminal and the environment perception terminal, which can ensure the synchronization of operation data and temperature data in time, so that the temperature data obtained at each time point can correspond to the operation data, avoiding the time deviation between the data, and facilitating the subsequent mapping of the usage time sequence and the region temperature time sequence. Through the refrigerator usage time and the temperature perception time, the correlation of the refrigerator usage region temperature can be quickly identified. When the refrigerator is used, the refrigerator usage time and the temperature perception time constructed after mapping can be one-to-one corresponding, providing a basis for subsequent operation performance and temperature evaluation;

[0024] 2、The present application analyzes the temperature regulation of the refrigerator from three aspects of temperature fluctuation, temperature exposure, and operation energy efficiency, making the temperature regulation analysis more comprehensive, and then obtaining the refrigerator usage time change rate according to the association curve formed by the temperature regulation parameters and the usage time sequence, thereby analyzing the refrigerator operation fluctuation coefficient, thereby providing accurate evaluation of the intelligent variable temperature adjustable refrigerator system under dynamic conditions, which can more flexibly reflect the refrigerator usage time fluctuation, and provide a basis for subsequent temperature change adjustment;

[0025] 3. This invention constructs a correspondence between the usage time of the freezer and the regional temperature by using time series and regional temperature time series, and compares and correlates the usage time of the freezer with the regional temperature through the correspondence, thereby realizing the analysis of operational stability and temperature stability. Based on the analysis results, the freezer risk assessment is carried out to determine the appropriate temperature adjustment parameters, so as to make appropriate temperature adjustments when there is a risk to the freezer, reduce subjective judgment, improve the scientificity and accuracy of decision-making, and has high practical value. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the overall structure of the present invention.

[0027] Figure 2 This is a schematic diagram of the device connections used in this invention.

[0028] Figure 3 A schematic diagram illustrating the process of establishing the correspondence in this invention.

[0029] Figure 4 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] As attached Figure 1 The intelligent variable temperature adjustable freezer system based on Internet collaborative control shown includes an environmental sensing terminal, a status monitoring terminal, an adjustment and coordination device, a user terminal, a system operation database, and a control center. The environmental sensing terminal and the status monitoring terminal are both installed on the adjustment and coordination device, which is used to execute temperature adjustment commands and is composed of different actuators, each of which is suitable for different variable temperature scenarios.

[0032] In a more specific application of the present invention, the environmental sensing terminal is used to sense the temperature data of the freezer area in real time. Specifically, it can be a temperature sensor and a humidity sensor. The temperature sensor can sense the temperature of the freezer area, which includes the freezing area, the refrigeration area, and the door edge area. By installing sensors in multiple areas of the freezer, temperature changes in different areas can be identified, which can effectively reduce the risk of equipment damage and possible downtime.

[0033] The state monitoring terminal is used for real-time sensing of the running state of the refrigerator during temperature regulation, and sensing the refrigerator usage conditions, including refrigerator start-stop time, door opening frequency, etc., and specifically for state monitoring of the refrigerator energy consumption and refrigeration capacity, wherein the state monitoring terminal is composed of an electric energy metering chip.

[0034] It needs to be explained that the monitoring of the refrigerator energy consumption and refrigeration capacity during the temperature regulation process of the refrigerator is mainly because these two parameters can directly affect the safety of the refrigerator running process, specifically that there is a huge energy consumption for user use during the running process of the refrigerator, especially when the user opens the refrigerator door for a long time or the door opening frequency is high, the high energy consumption period or abnormal situation is found out through energy consumption and refrigeration capacity, so as to adjust the use mode or maintain the equipment, for example, if the refrigerator still runs with high energy consumption at night, it may mean that the temperature setting is improper or the door seal is not tight, causing cold air leakage, which requires more energy to maintain the temperature, monitoring the refrigerator energy consumption and refrigeration capacity can prevent the refrigerator from running abnormally and ensure the normal work of the refrigerator.

[0035] The user terminal is used for receiving the information output device of the refrigerator temperature regulation, and connecting the refrigerator with the user terminal through the Internet to remotely set the temperature of the refrigerator, view the energy consumption report and push the alarm.

[0036] The system running database is used for storing all data texts of the intelligent variable temperature adjustable refrigerator system, and collecting information texts output by each module in real time.

[0037] The control center is used for analyzing the monitoring data of the above-mentioned devices during the temperature regulation process and controlling the related parameters.

[0038] The connection mode of the above-mentioned environment sensing terminal, state monitoring terminal, regulation coordination device, user terminal, system running database and control center is shown in Figure 2 .

[0039] The specific embodiment of the present application includes the following contents:

[0040] The time sequence construction module is used for utilizing the state monitoring terminal to realize real-time sensing of the refrigerator usage conditions during the running process of the refrigerator, and transmitting to the system running database, so as to extract the refrigerator use time from the transmitted refrigerator usage conditions by the system running database, and form a use time sequence.

[0041] The area temperature time sequence construction module utilizes the environment sensing terminal to realize real-time temperature sensing of the target refrigerator area, and records the temperature sensing time to form an area temperature time sequence.

[0042] In this embodiment, it needs to be specifically pointed out that the target refrigerator area includes the freezing area, the refrigeration area and the door edge area, and a single temperature sensor can only reflect the temperature of the whole refrigerator or a certain position. Through the monitoring of the target refrigerator area, the problem area can be quickly located. When the temperature of a certain area is detected to be abnormal, the system can trigger an alarm for the area alone and preferentially adjust the temperature of the area to avoid the influence on other normal areas.

[0043] It needs to be explained that the acquisition frequency needs to be consistent when the state monitoring terminal and the environment perception terminal perceive the refrigerator usage and temperature. In this way, the running data and the temperature data can be synchronized in time, so that the temperature data obtained at each time point can correspond to the running data, avoiding the time deviation between the data, and facilitating the subsequent mapping of the usage time sequence and the area temperature time sequence.

[0044] The corresponding relationship establishing module maps the usage time sequence and the area temperature time sequence, thereby establishing the corresponding relationship between the refrigerator usage time and the area temperature.

[0045] Referring to Figure 3 The flowchart for establishing the corresponding relationship between the refrigerator usage time and the area temperature is shown.

[0046] In this embodiment, it needs to be specifically pointed out that the corresponding relationship between the refrigerator usage time and the area temperature is established as follows:

[0047] The corresponding refrigerator usage time in the usage time sequence is numbered according to the time arrangement order;

[0048] The corresponding temperature perception time in the area temperature time sequence is numbered according to the time arrangement order;

[0049] According to the one-to-one correspondence principle, the corresponding numbered refrigerator usage time and temperature perception time are extracted from the usage time sequence and the area temperature time sequence respectively to form a mapping group;

[0050] According to the refrigerator usage time and the temperature perception time in each mapping group, the area temperature corresponding to the refrigerator usage time in each mapping group is obtained;

[0051] Based on the area temperature corresponding to the refrigerator usage time in each mapping group, the corresponding relationship between the refrigerator usage time and the area temperature is constructed.

[0052] It needs to be explained that before the corresponding relationship between the refrigerator usage time and the area temperature, the usage time sequence is mapped with the area temperature time sequence, thereby aligning the time sequence data of different data sources, through the refrigerator usage time and the temperature perception time, the correlation of the refrigerator usage area temperature can be quickly identified, when the refrigerator is used, the target area temperature fluctuates with the increase of the refrigerator usage time, in this case, the refrigerator usage time and the temperature perception time constructed after mapping can be one-to-one corresponding, which provides a basis for subsequent running performance and temperature evaluation.

[0053] It needs to be further explained that although the state monitoring terminal and the environment perception terminal maintain consistent collection frequency when performing state monitoring and environment perception, state monitoring is usually performed in real time, when the refrigerator door is opened, the temperature change has instantaneous and lagging nature, which means that there may be inconsistency in time between state monitoring and temperature perception, therefore, even if the collection frequency is consistent, due to the delay of the refrigerator processing response, it leads to errors in obtaining the area temperature corresponding to the usage time in each mapping group, therefore, the collection time interval is introduced, exemplarily, the time interval determination can be through the state monitoring terminal to monitor the refrigerator door opening time, recorded as event timestamp, through the environment perception terminal to monitor the time when the target refrigerator area temperature starts to significantly deviate from the stable value, recorded as temperature mutation timestamp, then the time difference is the difference between the event timestamp and the temperature mutation timestamp, and the time difference is taken as the collection time interval of the refrigerator.

[0054] The temperature regulation identification module identifies the temperature fluctuation, temperature exposure and running energy efficiency of the area temperature time sequence respectively, to obtain the temperature regulation parameters of the area temperature, including the temperature fluctuation parameter, the temperature exposure parameter and the running energy efficiency parameter.

[0055] In this embodiment, it needs to be specifically explained that the temperature fluctuation identification is performed through the temperature sensor of the environment perception terminal to perceive the temperature of each target refrigerator area, and the area temperature corresponding to the refrigerator usage time is extracted, the standard deviation of the area temperature corresponding to each area temperature time sequence is calculated, thereby identifying the temperature fluctuation of the target refrigerator area;

[0056] The temperature exposure identification is based on the spatio-temporal alignment of the refrigerator running time sequence and the area temperature time sequence, by comparing the area temperature corresponding to the refrigerator usage time with the set safety temperature threshold, the quantitative evaluation of the temperature abnormal state is realized, including: if the monitored area temperature is continuously higher than the upper limit of the safety temperature or lower than the lower limit of the safety temperature, the system automatically starts the timing mechanism, and the duration of being higher than the set safety temperature is counted, and the temperature exposure cumulative amount is calculated combined with the temperature deviation amplitude, thereby identifying the temperature exposure;

[0057] The operation energy efficiency recognition monitors the real-time energy consumption and refrigerating capacity of the refrigerator through the state monitoring terminal, and constructs an energy efficiency evaluation model based on thermodynamic principles, specifically including: after normalizing the real-time monitored refrigerating capacity and energy consumption, the system energy efficiency ratio is calculated, the system energy efficiency ratio is obtained by comparing the refrigerating capacity with the energy consumption of the refrigerator, reflecting the refrigerating efficiency under the unit energy consumption, through the continuous tracking and analysis of the energy efficiency ratio, the energy efficiency level in the operation process of the refrigerator can be accurately judged, and the abnormal energy consumption conditions such as low efficiency and energy waste can be found in time.

[0058] It should be further pointed out that the temperature fluctuation parameter is the regional temperature standard deviation, wherein the regional temperature standard deviation is the dynamic change amplitude and frequency of the target refrigerator regional temperature in the regional temperature time sequence, and the temperature exposure parameter is the temperature exposure cumulative amount, wherein the temperature exposure cumulative amount is the degree of the refrigerator regional temperature exceeding the safety threshold, the temperature abnormal area and the duration are accurately positioned, and data support is provided for the temperature control strategy optimization of the cold chain goods, the operation energy efficiency parameter is the system energy efficiency ratio, wherein the system energy efficiency ratio is the refrigerating capacity under unit power consumption, based on the energy efficiency recognition result, the operation strategy of the refrigerator can be further optimized, the energy utilization efficiency is improved, the operation cost is reduced, and scientific data support is provided for the maintenance and management of the refrigerator, so that the refrigerator is always in an efficient and energy-saving operation state.

[0059] The refrigerator is analyzed for temperature regulation from the aspects of temperature fluctuation, temperature exposure and operation energy efficiency, so that the temperature regulation analysis is more comprehensive, the overall effect of the refrigerator during temperature regulation can be reflected, and the temperature abnormal problems of the refrigerator can be captured from different aspects, thereby providing more complete abnormal evaluation.

[0060] The operation stability analysis module is used for correlating and comparing the refrigerator use time and the regional temperature based on the corresponding relationship between the regional temperature time sequence and the refrigerator use time and the regional temperature, so as to analyze the refrigerator operation fluctuation coefficient.

[0061] In this embodiment, it should be specifically pointed out that the correlation and comparison of the refrigerator use time and the regional temperature specifically includes:

[0062] According to the regional temperature time sequence, the temperature perception time is obtained, and a coordinate system is constructed with the temperature perception time as the abscissa and the regional temperature as the ordinate, and a plurality of points are marked to form a temperature change curve;

[0063] In the formed regional temperature change curve, the refrigerator use time is taken as the ordinate, and the corresponding refrigerator use time of each regional temperature is marked according to the corresponding relationship between the refrigerator use time and the regional temperature, to form a refrigerator use time change curve.

[0064] It needs to be explained that the target refrigerator area includes multiple areas, so when constructing the temperature change curve, the average value of the temperature of multiple areas needs to be calculated, thereby evaluating the temperature change of the entire refrigerator.

[0065] It needs to be added that a horizontal coordinate and multiple vertical coordinates are plotted in a coordinate system, which usually represents the relationship of multiple different coordinates at a specific horizontal coordinate. In this embodiment, the temperature change curve is constructed based on the temperature time series of the area, so the refrigerator usage time change curve can be constructed based on the temperature change curve due to the corresponding relationship between the refrigerator usage time and the area temperature.

[0066] It needs to be further explained that the refrigerator operation fluctuation coefficient is analyzed as follows: based on the inflection points after the temperature change curve, the area temperature corresponding to each inflection point is marked;

[0067] Based on the area temperature corresponding to each inflection point, the control points are marked on the refrigerator usage time change curve, and the tangent slope of each control point is obtained as the refrigerator usage time change rate of each control point;

[0068] Based on the refrigerator usage time change rate of the control point corresponding to each inflection point, the refrigerator operation fluctuation coefficient is obtained, which is specifically represented as:

[0069] ,

[0070] Where WT represents the refrigerator operation fluctuation coefficient, m i represents the refrigerator usage time change rate of the control point corresponding to the i-th inflection point, i represents the inflection point number, i=1, 2, …, n, n represents the total number of inflection points on the temperature change curve, when the area temperature changes, the greater the change of the refrigerator usage time, the greater the refrigerator operation fluctuation coefficient.

[0071] It needs to be explained that the inflection point is the point of change in the time series of the area temperature. When analyzing the refrigerator operation fluctuation coefficient, the point of change in the area temperature is selected on the temperature change curve, and then the corresponding refrigerator usage time change rate is obtained, thereby analyzing the refrigerator operation fluctuation coefficient, thereby providing accurate evaluation of the intelligent variable temperature adjustable refrigerator system under dynamic conditions, which can more flexibly reflect the refrigerator usage time fluctuation, and provide a basis for subsequent temperature change adjustment.

[0072] It needs to be understood that the present application monitors the refrigerator usage time in the scenario of temperature change because the refrigerator usage time can reflect the stability of the refrigerator operation, and the refrigerator usage time will fluctuate obviously when the refrigerator door is frequently opened and closed or the compressor is frequently started and stopped, at this time, the temperature field inside the refrigerator will fluctuate due to the loss of cold quantity, therefore, the temperature regulation of the refrigerator under different refrigerator usage time fluctuations helps to ensure that the system can provide more reliable temperature regulation under the rapidly changing external environment.

[0073] The temperature stability analysis module forms a correlation curve between the temperature regulation parameters corresponding to the regional temperature time sequence and the usage time sequence, thereby analyzing the refrigerator regulation evaluation coefficient.

[0074] In this embodiment, it needs to be specifically explained that the correlation curve is formed as follows:

[0075] The regional temperatures in the regional temperature time sequence are arranged in descending order;

[0076] According to the corresponding relationship between the refrigerator usage time and the regional temperature, the temperature fluctuation parameters, the temperature exposure parameters and the operation energy efficiency parameters of the regional temperature corresponding to each refrigerator usage time are extracted;

[0077] Taking the refrigerator usage time as the horizontal coordinate and the temperature fluctuation parameters, the temperature exposure parameters and the operation energy efficiency parameters as the vertical coordinate, a coordinate system is constructed;

[0078] Based on the arrangement order of the regional temperature and the temperature fluctuation parameters, the temperature exposure parameters and the operation energy efficiency parameters of the regional temperature corresponding to each refrigerator usage time in the coordinate system, points are marked, thereby forming the correlation curve of the refrigerator usage time and the temperature fluctuation, the temperature exposure and the operation efficiency.

[0079] It needs to be further explained that the refrigerator regulation evaluation coefficient is analyzed as follows:

[0080] Uniformly taking the regional temperature on the horizontal coordinate of the correlation curve, and extracting the temperature fluctuation change rate, the temperature exposure change rate and the operation energy efficiency change rate corresponding to each refrigerator usage time from the correlation curve;

[0081] Calculating the absolute values of the temperature fluctuation change rate, the temperature exposure change rate and the operation energy efficiency change rate corresponding to each refrigerator usage time, and extracting the maximum regulation change rate and the minimum regulation change rate according to the absolute value calculation results respectively;

[0082] The maximum regulation change rate and the minimum regulation change rate are respectively subtracted, and then the difference result is compared with the maximum regulation change rate, thereby obtaining the regulation change rate difference value corresponding to each refrigerator usage time;

[0083] The maximum adjustment rate corresponding to each refrigerator usage time is subtracted from the adjustment rate corresponding to the adjacent refrigerator usage time, the standard deviation of all the difference data is calculated, and the adjustment fluctuation degree is obtained;

[0084] The adjustment fluctuation degree is used to establish a refrigerator adjustment evaluation model for the difference value of the adjustment rate corresponding to each refrigerator usage time, and a refrigerator adjustment evaluation coefficient is obtained, which is specifically represented as:

[0085] ,

[0086] Wherein, LT represents the refrigerator adjustment evaluation coefficient, Ct represents the temperature fluctuation adjustment rate difference value corresponding to each refrigerator usage time, Mt represents the temperature exposure adjustment rate difference value corresponding to each refrigerator usage time, Tt represents the running energy efficiency adjustment rate difference value corresponding to each refrigerator usage time, Bo represents the adjustment fluctuation degree, and k represents the refrigerator usage time number, k=1, 2, …, j. The greater the adjustment rate difference value is, the greater the adjustment fluctuation degree is, and the more the temperature needs to be adjusted under each refrigerator usage time.

[0087] It needs to be explained that the maximum value is selected from the temperature fluctuation rate, the temperature exposure rate and the running energy efficiency rate corresponding to each refrigerator usage time to calculate the adjustment fluctuation degree because the maximum adjustment rate can reflect the most serious change in the refrigerator usage time, ensure that the temperature adjustment is not limited to single evaluation, and thus more accurately reflect the temperature change.

[0088] The adjustment feedback module performs refrigerator risk assessment based on the refrigerator running fluctuation coefficient and the refrigerator temperature stability coefficient, determines the appropriate temperature adjustment parameter according to the correlation curve, adjusts the refrigerator temperature through the control center, and transmits the refrigerator risk assessment result and the adjustment result to the user terminal according to the preset summary mode.

[0089] In this embodiment, it needs to be specifically explained that the refrigerator risk assessment is as follows:

[0090] The square root calculation is performed based on the refrigerator running fluctuation coefficient and the refrigerator adjustment evaluation coefficient, and the refrigerator adjustment risk evaluation index is obtained, which is specifically represented as:

[0091] ,

[0092] Wherein, RS represents the refrigerator adjustment risk evaluation index, WT represents the refrigerator running fluctuation coefficient, and LT represents the refrigerator adjustment evaluation coefficient. The greater the refrigerator running fluctuation is, the greater the refrigerator temperature adjustment fluctuation is, and thus the greater the risk of the refrigerator in this area temperature is, and the temperature needs to be adjusted;

[0093] Based on the historical data distribution, the risk threshold is dynamically set by 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 adjustment is carried out according to the appropriate temperature adjustment parameter through the control center, if the refrigerator adjustment risk assessment index is less than the risk threshold, it is marked as low risk, at this time, it is not necessary to adjust, and the refrigerator risk assessment result and adjustment result are transmitted to the user terminal according to the preset summary mode, wherein the preset summary mode includes a combination of report summary, picture summary and chart summary.

[0094] It needs to be further explained that the appropriate temperature adjustment parameter is determined as follows: the minimum value of the temperature fluctuation rate, the temperature exposure rate and the operation energy efficiency rate corresponding to each refrigerator usage time is extracted, and the temperature adjustment parameter corresponding to the minimum adjustment rate of each refrigerator usage time is recorded;

[0095] The temperature adjustment parameters corresponding to the minimum adjustment rate of each refrigerator usage time are classified, so as to count the occurrence frequency of the same temperature adjustment parameter, and the temperature adjustment parameter with the maximum occurrence frequency is extracted as the appropriate temperature adjustment parameter.

[0096] As shown in the intelligent variable-temperature adjustable refrigerator method based on internet collaborative control, Figure 4 As shown in the intelligent variable-temperature adjustable refrigerator method based on internet collaborative control,

[0097] S1: Usage time sequence construction: used for real-time sensing of refrigerator usage condition by the state monitoring terminal during the operation of the refrigerator, and transmitted to the system operation database, the usage time of the refrigerator is extracted from the transmitted refrigerator usage condition by the system operation database, and the usage time sequence is formed;

[0098] S2: Area temperature time sequence construction: real-time temperature sensing of the target refrigerator area is carried out by the environment sensing terminal, and the temperature sensing time is recorded to form the area temperature time sequence;

[0099] S3: Corresponding relationship establishment: mapping the usage time sequence and the area temperature time sequence, thereby establishing the corresponding relationship between the refrigerator usage time and the area temperature;

[0100] S4: Temperature adjustment identification: temperature fluctuation, temperature exposure and operation energy efficiency identification are carried out on the area temperature time sequence, respectively, to obtain the temperature adjustment parameters of the area temperature, including temperature fluctuation parameter, temperature exposure parameter and operation energy efficiency parameter;

[0101] S5: Running stability analysis: based on the area temperature time sequence and the corresponding relationship between the refrigerator usage time and the area temperature, the correlation comparison between the refrigerator usage time and the area temperature is carried out, thereby analyzing the refrigerator running fluctuation coefficient;

[0102] S6: Temperature stability analysis: form a correlation curve between the temperature adjustment parameters corresponding to the temperature time series and the use time series, thereby analyzing the refrigerator adjustment evaluation coefficient;

[0103] S7: Refrigerator adjustment feedback: based on the refrigerator operation fluctuation coefficient and the refrigerator temperature stability coefficient, the refrigerator risk assessment is carried out, and the appropriate temperature adjustment parameter is determined according to the correlation curve, and the refrigerator temperature is adjusted through the control center, and the refrigerator risk assessment result and the adjustment result are transmitted to the user terminal according to the preset summary mode.

[0104] Secondly: the drawings of the disclosed embodiments only involve the structures involved in the disclosed embodiments, other structures can refer to the usual design, and in the case of no conflict, the same embodiment and different embodiments of the present application can be combined with each other;

[0105] Finally: the above only describes the preferred embodiments of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent variable temperature adjustable freezer system based on Internet collaborative control, characterized in that, This includes modules for constructing time series data, constructing regional temperature time series data, establishing correspondences, identifying temperature regulation, analyzing operational stability, analyzing temperature stability, and providing regulation feedback. Specifically, it includes: A time series construction module is used to use the status monitoring terminal to perceive the usage status of the freezer in real time during the operation of the freezer and transmit it to the system operation database. The system operation database extracts the usage time of the freezer from the transmitted freezer usage status to form a usage time series. The regional temperature time series construction module uses an environmental sensing terminal to sense the temperature of the target freezer area in real time and records the temperature sensing time to form a regional temperature time series. The correspondence establishment module will map the time series data to the regional temperature time series to establish the correspondence between the usage time of the freezer and the regional temperature. The temperature regulation identification module identifies temperature fluctuations, temperature exposure, and operational energy efficiency in the regional temperature time series to obtain the regional temperature regulation parameters, specifically including temperature fluctuation parameters, temperature exposure parameters, and operational energy efficiency parameters. The stability analysis module is used to compare the correlation between the regional temperature time series and the relationship between the freezer usage time and the regional temperature, thereby analyzing the freezer operation fluctuation coefficient. The temperature stability analysis module generates a correlation curve between the temperature regulation parameters corresponding to the regional temperature time series and the usage time series, thereby analyzing the freezer regulation evaluation coefficient. The adjustment feedback module performs a risk assessment of the freezer based on the freezer's operating fluctuation coefficient and temperature stability coefficient, determines appropriate temperature adjustment parameters according to the correlation curve, adjusts the freezer temperature through the control center, and transmits the freezer risk assessment results and adjustment results to the user terminal according to a preset summary method.

2. The intelligent variable temperature adjustable freezer system based on Internet collaborative control according to claim 1, characterized in that: The specific relationship between the usage time of the freezer and the temperature of the area is established as follows: The usage time of the freezer in the usage time series is numbered in chronological order. The temperature sensing times corresponding to the regional temperature time series are numbered in chronological order. According to the principle of one-to-one correspondence of numbers, the corresponding number of the freezer usage time and temperature sensing time are extracted from the usage time series and the regional temperature time series to form a mapping group; Based on the freezer usage time and temperature sensing time in each mapping group, obtain the zone temperature corresponding to the freezer usage time in each mapping group; The correspondence between freezer usage time and zone temperature is constructed based on the zone temperature corresponding to the freezer usage time in each mapping group.

3. The intelligent variable temperature adjustable freezer system based on Internet collaborative control according to claim 1, characterized in that: The correlation between the usage time of the freezer and the ambient temperature specifically includes: The temperature sensing time is obtained from the regional temperature time series, and a coordinate system is constructed with the temperature sensing time as the horizontal axis and the regional temperature as the vertical axis. Several points are marked to form a temperature change curve. In the generated regional temperature change curve, the freezer usage time is used as the vertical axis. Based on the correspondence between freezer usage time and regional temperature, the freezer usage time corresponding to each regional temperature is marked, thus forming a freezer usage time change curve.

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

5. The intelligent variable temperature adjustable freezer system based on Internet collaborative control according to claim 1, characterized in that: The correlation curve is formed as follows: Arrange the regional temperatures in the regional temperature time series in descending order; Based on the correlation between the usage time of the freezer and the temperature of the area, the temperature fluctuation parameters, temperature exposure parameters and operating energy efficiency parameters of the area corresponding to the usage time of each freezer are extracted. A coordinate system is constructed with the freezer usage time as the horizontal axis and temperature fluctuation parameters, temperature exposure parameters, and operating energy efficiency parameters as the vertical axes. Based on the arrangement of regional temperatures and the marking of temperature fluctuation parameters, temperature exposure parameters, and operating energy efficiency parameters corresponding to the usage time of each freezer in the regional temperature on the coordinate system, a correlation curve is formed between freezer usage time and temperature fluctuation, temperature exposure, and operating efficiency.

6. The intelligent variable temperature adjustable freezer system based on Internet collaborative control according to claim 1, characterized in that: The analysis of the freezer adjustment evaluation coefficients is as follows: The temperature of the region is uniformly taken on the horizontal axis of the correlation curve, and the temperature fluctuation rate, temperature exposure rate, and operating energy efficiency rate corresponding to the usage time of each freezer are extracted from the correlation curve. The absolute values ​​of the temperature fluctuation rate, temperature exposure rate, and operating energy efficiency rate corresponding to the usage time of each freezer are calculated, and the maximum and minimum adjustment rates are extracted based on the absolute value calculation results. The difference between the maximum and minimum adjustment change rates is calculated, and then the difference is compared with the maximum adjustment change rate to obtain the adjustment change rate difference value corresponding to the usage time of each freezer. The maximum rate of change in adjustment corresponding to the usage time of each freezer is subtracted from the rate of change in adjustment corresponding to the usage time of adjacent freezers. The standard deviation of all the subtracted data is calculated and used as the adjustment fluctuation. A freezer regulation evaluation model is established by combining the differences in the rate of change of regulation corresponding to the usage time of each freezer with the regulation fluctuation, resulting in the freezer regulation evaluation coefficient, specifically expressed as follows: ， Where LT represents the freezer regulation evaluation coefficient, Ct represents the difference in temperature fluctuation regulation rate corresponding to the usage time of each freezer, Mt represents the difference in temperature exposure regulation rate corresponding to the usage time of each freezer, Tt represents the difference in operating energy efficiency regulation rate corresponding to the usage time of each freezer, Bo represents the regulation fluctuation degree, and k represents the freezer usage time number, k=1, 2, ..., j.

7. The intelligent variable temperature adjustable freezer system based on Internet collaborative control according to claim 1, characterized in that: The specific risk assessment for the freezer is as follows: The freezer adjustment risk assessment index is obtained by taking the square root of the freezer operation fluctuation coefficient and the freezer adjustment assessment coefficient, and is specifically expressed as follows: ， Where RS represents the freezer adjustment risk assessment index, WT represents the freezer operation fluctuation coefficient, and LT represents the freezer adjustment assessment coefficient; Set a risk threshold, compare the freezer adjustment risk assessment index with the risk threshold, and transmit the freezer risk assessment results and adjustment results to the user terminal according to the preset summary method, which includes a combination of report summary, picture summary and chart summary.

8. The intelligent variable temperature adjustable freezer system based on Internet collaborative control according to claim 1, characterized in that: The appropriate temperature regulation parameters are determined as follows: extract the minimum values ​​of temperature fluctuation change rate, temperature exposure change rate, and operating energy efficiency change rate corresponding to the usage time of each freezer, and record the temperature regulation parameters corresponding to the minimum regulation change rate for the usage time of each freezer. The temperature adjustment parameters corresponding to the minimum rate of change of each freezer's usage time are categorized, and the frequency of occurrence of the same temperature adjustment parameter is counted. The temperature adjustment parameter with the highest frequency of occurrence is then extracted as the appropriate temperature adjustment parameter.

9. The method for intelligent variable temperature adjustable freezer based on Internet collaborative control according to any one of claims 1 to 8, characterized in that: S1: Using time series construction: This is used to use the status monitoring terminal to perceive the usage status of the freezer in real time during the operation of the freezer and transmit it to the system operation database. The system operation database extracts the usage time of the freezer from the transmitted freezer usage status to form a usage time series. S2: Regional temperature time series construction: The temperature of the target freezer area is sensed in real time using an environmental sensing terminal, and the temperature sensing time is recorded to form a regional temperature time series. S3: Establishing the Correspondence: Map the usage time series with the regional temperature time series to establish the correspondence between the freezer usage time and the regional temperature; S4: Temperature Regulation Identification: The temperature time series of the region is analyzed to identify temperature fluctuations, temperature exposure, and operational energy efficiency, and the temperature regulation parameters of the region are obtained, including temperature fluctuation parameters, temperature exposure parameters, and operational energy efficiency parameters. S5: Operational Stability Analysis: Based on the time series of regional temperature and the correspondence between the usage time of the freezer and the regional temperature, the correlation between the usage time of the freezer and the regional temperature is compared, thereby analyzing the fluctuation coefficient of the freezer operation. S6: Temperature stability analysis: The temperature regulation parameters corresponding to the regional temperature time series are correlated with the usage time series to form a correlation curve, thereby analyzing the freezer regulation evaluation coefficient; S7: Refrigerator Adjustment Feedback: Based on the refrigerator's operating fluctuation coefficient and temperature stability coefficient, a refrigerator risk assessment is conducted, and 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 variable temperature adjustable freezer based on Internet collaborative control according to any one of claims 9, characterized in that: The specific process for determining the appropriate temperature regulation parameters is as follows: Extract the minimum values ​​of temperature fluctuation change rate, temperature exposure change rate, and operating energy efficiency change rate corresponding to the usage time of each freezer, and record the temperature adjustment parameters corresponding to the minimum adjustment change rate for the usage time of each freezer. The temperature adjustment parameters corresponding to the minimum rate of change of each freezer's usage time are categorized, and the frequency of occurrence of the same temperature adjustment parameter is counted. The temperature adjustment parameter with the highest frequency of occurrence is then extracted as the appropriate temperature adjustment parameter.

Images