CN111271935B - Information detection method and device - Google Patents

Information detection method and device Download PDF

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Publication number
CN111271935B
CN111271935B CN201811479880.XA CN201811479880A CN111271935B CN 111271935 B CN111271935 B CN 111271935B CN 201811479880 A CN201811479880 A CN 201811479880A CN 111271935 B CN111271935 B CN 111271935B
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refrigerator
time
preset
refrigerating
unit temperature
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CN111271935A (en
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曲文武
杨垚
吴凯
李国梁
王安
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Qingdao Juhaolian Technology Co ltd
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Qingdao Juhaolian Technology Co ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • F25D29/003—Arrangement or mounting of control or safety devices for movable devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B49/00—Arrangement or mounting of control or safety devices
    • F25B49/02—Arrangement or mounting of control or safety devices for compression type machines, plants or systems
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • F25D29/006—Safety devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B2500/00—Problems to be solved
    • F25B2500/22—Preventing, detecting or repairing leaks of refrigeration fluids
    • F25B2500/222—Detecting refrigerant leaks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2500/00—Problems to be solved
    • F25D2500/04—Calculation of parameters
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2500/00—Problems to be solved
    • F25D2500/06—Stock management

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  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Devices That Are Associated With Refrigeration Equipment (AREA)

Abstract

The application discloses an information detection method and device, which are used for predicting whether a refrigerator has a refrigerant leakage problem. An information detection method provided by an embodiment of the present application includes: monitoring whether the refrigerating time of the refrigerator at unit temperature meets a preset condition for predicting the refrigerant leakage problem of the refrigerator; and when the preset condition is met, determining that the refrigerator has refrigerant leakage.

Description

Information detection method and device
Technical Field
The present application relates to the field of electrical appliance technologies, and in particular, to an information detection method and apparatus.
Background
Refrigerant, also called refrigerant, is a medium substance for accomplishing energy conversion in various heat engines. In the refrigeration process of the refrigerator, after a refrigerant is sucked by a compressor, the refrigerant is compressed into a gaseous refrigerant at high temperature, the compressed refrigerant is conveyed into a condenser through a pipeline, the refrigerant starts to release heat in the condenser, and after the refrigerant is condensed, the gaseous refrigerant at high temperature and high pressure is changed into a liquid refrigerant at low temperature and high pressure. The refrigerant is condensed and then finally enters the evaporator, the low-temperature and low-pressure liquid refrigerant is rapidly subjected to heat absorption and evaporation and finally becomes isothermal and isobaric gaseous refrigerant, and then the gaseous refrigerant is sucked and compressed by the compressor again to continue the refrigeration cycle.
In the refrigeration process, accessories such as a compressor, an evaporator, a condenser and the like are arranged in a scattered manner, the components are connected through metal pipes and rubber hoses, and the refrigerant inevitably leaks due to the high-pressure working environment. The problem of refrigerant leakage of the refrigerator generally refers to the problem that when the refrigerant of the refrigerator is reduced to a certain degree, the refrigerating effect of the refrigerator is obviously reduced.
Disclosure of Invention
The embodiment of the application provides an information detection method and device, which are used for predicting whether a refrigerator has a refrigerant leakage problem.
An information detection method provided by an embodiment of the present application includes:
monitoring whether the refrigerating time of the refrigerator at unit temperature meets a preset condition for predicting the refrigerant leakage problem of the refrigerator;
and when the preset condition is met, determining that the refrigerator has refrigerant leakage.
By the method, whether the refrigerating time per unit temperature of the refrigerator meets the preset condition for predicting the refrigerant leakage problem of the refrigerator is monitored; when the preset condition is met, the refrigerator is determined to have refrigerant leakage, so that whether the refrigerator has the refrigerant leakage problem or not can be effectively predicted.
Optionally, when the following preset conditions are met, determining that refrigerant leakage occurs in the refrigerator:
the refrigerating time per unit temperature of the refrigerator is greater than or equal to a preset threshold time for the type and the chamber type of the refrigerator.
Optionally, the preset condition further includes:
in the preset time, the refrigerating time per unit temperature of the refrigerator is greater than or equal to the preset threshold time for the model and the chamber type of the refrigerator, and the refrigerating time per unit temperature of the refrigerator is in an ascending trend.
Optionally, the threshold time is predetermined by:
determining a probability distribution value T satisfying the following condition0：
P(t≤T0)≥pm,r
Wherein P (T is less than or equal to T)0) The refrigerating time per unit temperature T of the refrigerator expressing the models and the chamber type is less than or equal to T0Probability of pm,rRepresenting a preset probability threshold;
determining the threshold time using the following equation:
Tm,r＝k*T0
wherein, Tm,rThe method comprises the steps of representing preset threshold time aiming at the model and the chamber type of the refrigerator, wherein m represents the model, r represents the chamber type, and k is a preset constant.
Optionally, the cooling time per unit temperature is determined by the following formula:
Figure BDA0001893105880000021
wherein, ciAnd ci+1Respectively at time tiAnd ti+1And c is a temperature value ofiGreater than ci+1，tcmpAt a time tiTo ti+1And starting up the compressor of the refrigerator in a time period.
Accordingly, on the device side, an information detection device provided by the embodiment of the present application includes:
the statistical analysis module is used for monitoring whether the refrigerating time of the unit temperature of the refrigerator meets the preset condition for predicting the refrigerant leakage problem of the refrigerator;
and the refrigerant leakage analysis module is used for determining that the refrigerator generates refrigerant leakage when the preset condition is met.
Optionally, when the following preset conditions are met, the refrigerant leakage analysis module determines that refrigerant leakage occurs in the refrigerator:
the refrigerating time per unit temperature of the refrigerator is greater than or equal to a preset threshold time for the type and the chamber type of the refrigerator.
Optionally, the preset condition further includes:
in the preset time, the refrigerating time per unit temperature of the refrigerator is greater than or equal to the preset threshold time for the model and the chamber type of the refrigerator, and the refrigerating time per unit temperature of the refrigerator is in an ascending trend.
An information detecting device provided by an embodiment of the present application further includes:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing any one of the methods provided by the embodiment of the application according to the obtained program.
Another embodiment of the present application provides a computer storage medium having stored thereon computer-executable instructions for causing a computer to perform any one of the methods described above.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of an information detection method according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating an information processing process of refrigerant leakage of a refrigerator according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of the temperature of the cold storage compartment of apparatus D1 according to an embodiment of the present application as a function of time;
FIG. 4 is a schematic diagram showing the variation of refrigerating time per unit temperature of a refrigerating chamber and a freezing chamber of a device D1 according to an embodiment of the present application for 6 months;
fig. 5 is a schematic diagram of an information detecting apparatus according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of an information detecting apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the rise and development of artificial intelligence technology, the intelligent household appliances in the intelligent household industry have the characteristics of interconnection and high intelligence, and manufacturers and enterprises can monitor and analyze the state logs uploaded by the intelligent household appliances, immediately master whether the appliances break down or not and provide maintenance service for users. The detected temperatures of the refrigerating chamber, the freezing chamber and the temperature-changing chamber are in the state log of the refrigerator, the distribution rule of the refrigerating time of the refrigerator can be known through statistical analysis of the data, and the probability of refrigerating problems of single equipment is further judged. And then, the historical data of the equipment which is possibly subjected to the refrigeration problem is analyzed, so that whether the equipment has the refrigerant leakage problem or not is predicted.
The embodiment of the application provides an information detection method and device, which are used for predicting whether a refrigerator has a refrigerant leakage problem.
Various embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that the display sequence of the embodiment of the present application only represents the sequence of the embodiment, and does not represent the merits of the technical solutions provided by the embodiments.
Referring to fig. 1, an information detection method provided for the embodiment of the present application includes:
s101, monitoring whether the refrigerating time of the refrigerator at unit temperature meets a preset condition for predicting the refrigerant leakage problem of the refrigerator;
the refrigerating time per unit temperature is calculated when the temperature of the refrigerator is reduced and the compressor is in an operating state.
And S102, when the preset condition is met, determining that the refrigerator has refrigerant leakage.
Optionally, when the following preset conditions are met, determining that refrigerant leakage occurs in the refrigerator:
the refrigerating time per unit temperature of the refrigerator is greater than or equal to a preset threshold time for the type and the chamber type of the refrigerator.
The threshold time is the critical time for a problem in the refrigeration of the refrigerator. And aiming at any refrigeration, when the unit temperature refrigeration time of the refrigerator is greater than or equal to the threshold time corresponding to the model and the chamber type of the refrigerator, determining that the refrigeration of the refrigerator has a problem.
Optionally, the preset condition further includes:
in the preset time, the refrigerating time per unit temperature of the refrigerator is greater than or equal to the preset threshold time for the model and the chamber type of the refrigerator, and the refrigerating time per unit temperature of the refrigerator is in an ascending trend.
For example, if the refrigerator has a refrigerating time per unit temperature of the refrigerating chamber and a refrigerating time per unit temperature of the freezing chamber (assuming that there is no temperature change chamber) which gradually increase with time within 6 months of the history, and a state occurs in which the refrigerating time per unit temperature is greater than or equal to a preset threshold time for the model and the chamber type of the refrigerator, it is determined that the refrigerator has a refrigerant leakage problem.
Optionally, the threshold time is predetermined by:
determining a probability distribution value T satisfying the following condition0：
P(t≤T0)≥pm,r
Wherein P (T is less than or equal to T)0) The refrigerating time per unit temperature T of the refrigerator expressing the models and the chamber type is less than or equal to T0Probability of pm,rRepresenting a preset probability threshold;
determining the threshold time using the following equation:
Tm,r＝k*T0
wherein, Tm,rThe method comprises the steps of representing preset threshold time aiming at the model and the chamber type of the refrigerator, wherein m represents the model, r represents the chamber type, and k is a preset constant.
For example, pm,rCan be 0.8, k is a number greater than 1, can be 2, pm,rThe value of k and k can be adjusted according to different situations.
Optionally, the cooling time per unit temperature is determined by the following formula:
Figure BDA0001893105880000061
wherein, ciAnd ci+1Respectively at time tiAnd ti+1And c is a temperature value ofiGreater than ci+1，tcmpAt a time tiTo ti+1Starting the compressor of the refrigerator within a time periodThe time of day.
Referring to fig. 2, a schematic diagram of an information processing process of refrigerant leakage of a refrigerator according to an embodiment of the present application includes the following main steps:
step1, loading refrigerator historical data of a period of time (for example, 3 months) from the database to the statistical analysis module, wherein the refrigerator historical data comprises refrigerator state data such as equipment ID, model and chamber type of the refrigerator, temperature change value and time, compressor working state and the like. The model is the type of the refrigerator, and each refrigerator has a unique model. The chamber type refers to a refrigerating chamber, a freezing chamber or a temperature-changing chamber, and one type of refrigerator has 2 chamber types: a refrigerating chamber and a freezing chamber, and another type of refrigerator has 3 chamber types: a refrigerating chamber, a freezing chamber and a temperature-changing chamber.
The refrigerator temperature variation data stored in the database is, for example, in the form of: { ref: { DeviceID1& t1, c1} }, where ref denotes a refrigerating compartment, DeviceID1 is an appliance ID, t1 denotes time, and c1 denotes temperature value, i.e., the temperature of the refrigerating compartment of the appliance DeviceID1 becomes c1 at time t 1. As shown in FIG. 3, a schematic diagram of the temperature of the cold storage compartment of the device DeviceID1 with time is provided for the embodiment of the present application, and the data of DeviceID1 in the ref column of the database is stored as { DeviceID1& t1, 1}, { DeviceID1& t9, 0}, and { DeviceID1& t11, 1 }.
Step2, the following calculations are done in the statistical analysis module:
firstly, calculating unit temperature refrigerating time aiming at each model and chamber type of the refrigerator;
summarizing data according to the equipment ID and sorting according to time; during the temperature decrease of the device ID, i.e. at the previous moment t of a certain chamber typeiTemperature value c ofiGreater than the temperature c of the chamber type at the later momenti+1And the compressor is in working condition, the unit temperature refrigeration time is calculated by adopting the following formula:
Figure BDA0001893105880000062
wherein, ciAnd ci+1Respectively at time tiAnd ti+1And c is a temperature value ofiGreater than ci+1，tcmpAt a time tiTo ti+1And starting up the compressor of the refrigerator in a time period.
And then calculating the threshold time of each model and each room type refrigeration with problems according to the unit temperature refrigeration time.
Summarizing unit temperature refrigerating time according to the type and the chamber type of the refrigerator, and calculating the distribution probability P of the unit temperature refrigerating time on time;
determining a probability distribution value T satisfying the following condition0：
P(t≤T0)≥pm,r
Wherein P (T is less than or equal to T)0) The refrigerating time per unit temperature T of the refrigerator expressing the models and the chamber type is less than or equal to T0Probability of pm,rRepresenting a preset probability threshold;
determining the threshold time using the following equation:
Tm,r＝k*T0
wherein, Tm,rThe method comprises the steps of representing preset threshold time aiming at the model and the chamber type of the refrigerator, wherein m represents the model, r represents the chamber type, and k is a preset constant.
Step3, store the model and room type of the refrigerator and the corresponding threshold time to a database, such as MySQL.
Step4, loading relevant data of the refrigerator from the database to the statistical analysis module by taking days as units.
Step5, calculating the unit temperature refrigerating time of each model and room type according to the relevant data of the refrigerator loaded in Step4, and storing the equipment information of which the unit temperature refrigerating time is more than or equal to the corresponding threshold value time in a database, wherein the method specifically comprises the following steps:
reading threshold time corresponding to each model and chamber type of the refrigerator in a statistical analysis module; the unit temperature refrigeration time is calculated for each refrigeration of each refrigerator, if the unit temperature refrigeration time of a refrigerating chamber (a freezing chamber or a temperature changing chamber) of the refrigerator is larger than or equal to the corresponding threshold time, the refrigeration of the refrigerator is considered to have a refrigeration problem, and the equipment ID, the date, the chamber type and the unit temperature refrigeration time with the refrigeration problem are stored in a database.
Step6, based on the refrigeration problem data stored in Step5, determines the device ID where the 2-compartment (no temperature change compartment) or 3-compartment (refrigerating compartment, freezing compartment, and temperature change compartment) of the refrigerator continuously have a refrigeration problem, for example, the device ID where the refrigerating compartment and freezing compartment (assuming no temperature change compartment) of the refrigerator continuously have a refrigeration problem for 3 days.
Step7, reading the historical data of the equipment ID determined by Step6 in a previous period of time (for example, 6 months) from the database, calculating the refrigerating time per unit temperature of the 3 chambers (if the temperature change chambers do not exist, 2 chambers) of the refrigerator, and if the variation trend of the refrigerating time per unit temperature of the 3 chambers (or 2 chambers) in the period of time is slowly increased in the time sequence, the equipment is considered to have the refrigerant leakage problem. And meanwhile, outputting the equipment ID with the refrigerant leakage problem.
In the following, a specific embodiment is provided, taking data analysis of the refrigerating chamber of the refrigerator as an example, and the data analysis process of the freezing chamber or the temperature changing chamber is the same as that of the refrigerating chamber.
Firstly, loading historical data of a period of time from a database, and sorting the data according to a Key as shown in the following table, wherein the Key is composed of two parts: device ID and time, split using the symbol "&".
Figure BDA0001893105880000081
Then, calculating the refrigerating time of unit temperature and the threshold time of refrigerating with problems;
for device D1, the calculation of the cooling time per unit temperature was as follows:
Figure BDA0001893105880000082
Figure BDA0001893105880000091
Figure BDA0001893105880000092
Figure BDA0001893105880000093
wherein, t11Refrigerating time per unit temperature, t, for device D1 from time 1 to time 312Refrigerating time per unit temperature, t, for device D1 from time 88 to time 9113Refrigerating time per unit temperature, t, for device D1 from time 91 to time 9313The cooling time per unit temperature from time 123 to time 120 for device D1.
For device D2, the calculation of the cooling time per unit temperature was as follows:
Figure BDA0001893105880000094
wherein, t21The cooling time per unit temperature for device D2 from time 4 to time 20.
Based on the calculation results, a sample set {2, 1, 2, 1, 15} of the refrigeration time per unit temperature is constructed, and a formula P (T is less than or equal to T) is applied0)≥pm,r(pm,rValue of 0.8) is obtained by calculation to obtain T0＝2；
Continuing to use formula Tm,r＝k*T0(k is 2), calculating to obtain the threshold time T of the refrigeration with problems101,ref＝2*2＝4。
Will record { model 101, chamber type ref, Tm,rStore (specifically, record {101, ref, 4}) to the MySQL database.
Data for 2018, 10 and 1 are read from the database as shown in the following table:
Key model type Refrigeration temperature Compressor state
D1&665 101 3
D1&666 101 1
D1&671 101 2
Calculating the unit refrigeration time of all the equipment on the day, and recording the data with problems as follows:
the unit temperature cooling time t of the device D1 from the time 665 to the time 67115：
Figure BDA0001893105880000095
Due to t15>T101,refThis refrigeration of device D1 therefore presents a refrigeration problem.
The date and time is obtained from the time 671: 2018.10.1, and stores the record { D1, 2018.10.1, ref, 5} in the database.
Similarly, data for 2018, month 10, 2 and 2018, month 10, 3 were read from the database, respectively, (data between two days separated by an ellipsis). As shown in the following table:
Key model type Refrigeration temperature Compressor state
D1&1600 101 3
D1&1661 101 1
D1&1667 101 2
…… …… …… ……
D1&2600 101 3
D1&2662 101 1
D1&2669 101 2
The unit refrigeration time of all the equipment in 2018, 10-month and 2-day and 2018, 10-month and 3-day is respectively calculated, and the data with problems are recorded as follows:
refrigerating time t per unit temperature from time 1600 to time 1667 of equipment D116The unit temperature cooling time t of the device D1 from the time 2600 to the time 266917：
Figure BDA0001893105880000101
Figure BDA0001893105880000102
Due to t16>T101,ref＝4，t17>T101,refThis two-pass refrigeration of device D1 therefore presents a refrigeration problem.
The date and time is obtained from times 1667 and 2669, respectively: 2018.10.2, and 2018.10.3, and stores records { D1, 2018.10.2, ref, 6} and { D1, 2018.10.3, ref, 7} in a database.
And analyzing the data with the refrigeration problem in the database. Assuming that device D1 has no temperature-changing chamber and that the freezer compartment also has a problem of cooling for 3 consecutive days, i.e., 10 months 1 to 10 months 3, device D1 is selected from the database.
Historical data of 6 months before the device D1, namely, historical data of 4 months and 3 days in 2018 to 10 months and 3 days in 2018 are read from a database, unit temperature refrigerating time of 2 chambers (a refrigerating chamber and a freezing chamber) is calculated, and a change trend graph is obtained after smoothing, as shown in FIG. 4, the change trend graph of the unit temperature refrigerating time of the refrigerating chamber and the unit temperature refrigerating time of the freezing chamber of the device D1 provided by the embodiment of the application is a unit temperature refrigerating time change graph of the refrigerating chamber and the freezing chamber of the device D1 in 6 months, the change trend of the unit temperature refrigerating time of the refrigerating chamber and the unit temperature refrigerating time of the freezing chamber is slowly and smoothly increased according to the time sequence, therefore, the problem that the refrigerant leaks exists in the device D1 can be judged, and the device ID of the device D1 is stored in a.
Accordingly, on the device side, referring to fig. 5, an information detecting device provided for an embodiment of the present application includes:
the statistical analysis module 11 is used for monitoring whether the refrigerating time of the refrigerator at unit temperature meets a preset condition for predicting the refrigerant leakage problem of the refrigerator;
and the refrigerant leakage analysis module 12 is configured to determine that refrigerant leakage occurs in the refrigerator when the preset condition is met.
Optionally, when the following preset conditions are met, the refrigerant leakage analysis module 12 determines that refrigerant leakage occurs in the refrigerator:
the refrigerating time per unit temperature of the refrigerator is greater than or equal to a preset threshold time for the type and the chamber type of the refrigerator.
Optionally, the preset condition further includes:
in the preset time, the refrigerating time per unit temperature of the refrigerator is greater than or equal to the preset threshold time for the model and the chamber type of the refrigerator, and the refrigerating time per unit temperature of the refrigerator is in an ascending trend.
Optionally, the information detecting apparatus further includes a database for storing information related to a cooling time per unit temperature of the refrigerator.
Alternatively, a plurality of databases may be provided, each storing different information.
Referring to fig. 6, an information detecting apparatus provided for the embodiment of the present application further includes:
the processor 600, for reading the program in the memory 610, executes the following processes:
monitoring whether the refrigerating time of the refrigerator at unit temperature meets a preset condition for predicting the refrigerant leakage problem of the refrigerator;
and when the preset condition is met, determining that the refrigerator has refrigerant leakage.
By the device, whether the unit temperature refrigerating time of the refrigerator meets the preset condition for predicting the refrigerant leakage problem of the refrigerator or not is monitored; when the preset condition is met, the refrigerator is determined to have refrigerant leakage, so that whether the refrigerator has the refrigerant leakage problem or not can be effectively predicted.
Optionally, when the following preset conditions are met, determining that refrigerant leakage occurs in the refrigerator:
the refrigerating time per unit temperature of the refrigerator is greater than or equal to a preset threshold time for the type and the chamber type of the refrigerator.
Optionally, the preset condition further includes:
in the preset time, the refrigerating time per unit temperature of the refrigerator is greater than or equal to the preset threshold time for the model and the chamber type of the refrigerator, and the refrigerating time per unit temperature of the refrigerator is in an ascending trend.
Optionally, the threshold time is predetermined by:
determining a probability distribution value T satisfying the following condition0：
P(t≤T0)≥pm,r
Wherein P (T is less than or equal to T)0) To show the machineThe refrigerating time per unit temperature T of the type and chamber type refrigerators is less than or equal to T0Probability of pm,rRepresenting a preset probability threshold;
determining the threshold time using the following equation:
Tm,r＝k*T0
wherein, Tm,rThe method comprises the steps of representing preset threshold time aiming at the model and the chamber type of the refrigerator, wherein m represents the model, r represents the chamber type, and k is a preset constant.
Optionally, the cooling time per unit temperature is determined by the following formula:
Figure BDA0001893105880000121
wherein, ciAnd ci+1Respectively at time tiAnd ti+1And c is a temperature value ofiGreater than ci+1，tcmpAt a time tiTo ti+1And starting up the compressor of the refrigerator in a time period.
Where in fig. 6, the bus architecture may include any number of interconnected buses and bridges, with various circuits being linked together, particularly one or more processors, represented by processor 600, and memory, represented by memory 610. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface.
The embodiment of the present application further provides a computing device, which may specifically be a desktop computer, a portable computer, a smart phone, a tablet computer, a Personal Digital Assistant (PDA), and the like. The Display terminal may include a Central Processing Unit (CPU), a memory, an input/output device, etc., the input device may include a keyboard, a mouse, a touch screen, etc., and the output device may include a Display device, such as a Liquid Crystal Display (LCD), a Cathode Ray Tube (CRT), etc.
Alternatively to different user devices, the user interface 620 may be an interface capable of interfacing with a desired device externally, including but not limited to a keypad, display, speaker, microphone, joystick, etc.
The processor 600 is responsible for managing the bus architecture and general processing, and the memory 610 may store data used by the processor 600 in performing operations.
Alternatively, the processor 600 may be a CPU (central processing unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a CPLD (Complex Programmable Logic Device).
Memory 610 may include Read Only Memory (ROM) and Random Access Memory (RAM), and provides the processor with program instructions and data stored in the memory. In the embodiments of the present application, the memory may be used for storing a program of any one of the methods provided by the embodiments of the present application.
The processor is used for executing any one of the methods provided by the embodiment of the application according to the obtained program instructions by calling the program instructions stored in the memory.
Embodiments of the present application provide a computer storage medium for storing computer program instructions for an apparatus provided in the embodiments of the present application, which includes a program for executing any one of the methods provided in the embodiments of the present application.
The computer storage media may be any available media or data storage device that can be accessed by a computer, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.
In summary, the embodiments of the present application provide an information detection method and apparatus, which can effectively predict whether a refrigerant leakage problem occurs in a refrigerator.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (4)

1. An information detection method, comprising:
monitoring whether the refrigerating time of the refrigerator at unit temperature meets a preset condition for predicting the refrigerant leakage problem of the refrigerator;
when the preset condition is met, determining that the refrigerator has refrigerant leakage;
the method comprises the following steps of determining that the refrigerator has refrigerant leakage when the following preset conditions are met:
the unit temperature refrigerating time of the refrigerator is more than or equal to the preset threshold time for the type and the chamber type of the refrigerator;
the preset conditions further include:
in a preset time length, the refrigerating time of the unit temperature of the refrigerator is greater than or equal to a preset threshold time for the type and the chamber type of the refrigerator, and the refrigerating time of the unit temperature of the refrigerator is in an ascending trend;
the threshold time is predetermined by:
determining a probability distribution value T satisfying the following condition0：
P(t≤T0)≥pm,r
Wherein P (T is less than or equal to T)0) The refrigerating time per unit temperature T of the refrigerator expressing the models and the chamber type is less than or equal to T0Probability of pm,rRepresenting a preset probability threshold;
determining the threshold time using the following equation:
Tm,r＝k*T0
wherein, Tm,rThe method comprises the steps of representing preset threshold time aiming at the model and the chamber type of the refrigerator, wherein m represents the model, r represents the chamber type, and k is a preset constant;
the refrigerating time per unit temperature is determined by the following formula:
Figure FDA0003169777950000011
wherein, ciAnd ci+1Respectively at time tiAnd ti+1And c is a temperature value ofiGreater than ci+1，tcmpAt a time tiTo ti+1And starting up the compressor of the refrigerator in a time period.
2. An information detecting apparatus, characterized in that the apparatus comprises:
the statistical analysis module is used for monitoring whether the refrigerating time of the unit temperature of the refrigerator meets the preset condition for predicting the refrigerant leakage problem of the refrigerator;
the refrigerant leakage analysis module is used for determining that the refrigerator generates refrigerant leakage when the preset condition is met;
the method comprises the following steps of determining that the refrigerator has refrigerant leakage when the following preset conditions are met:
the unit temperature refrigerating time of the refrigerator is more than or equal to the preset threshold time for the type and the chamber type of the refrigerator;
the preset conditions further include:
in a preset time length, the refrigerating time of the unit temperature of the refrigerator is greater than or equal to a preset threshold time for the type and the chamber type of the refrigerator, and the refrigerating time of the unit temperature of the refrigerator is in an ascending trend;
the threshold time is predetermined by:
determining a probability distribution value T satisfying the following condition0：
P(t≤T0)≥pm,r
Wherein P (T is less than or equal to T)0) The refrigerating time per unit temperature T of the refrigerator expressing the models and the chamber type is less than or equal to T0Probability of pm,rRepresenting a preset probability threshold;
determining the threshold time using the following equation:
Tm,r＝k*T0
wherein, Tm,rThe method comprises the steps of representing preset threshold time aiming at the model and the chamber type of the refrigerator, wherein m represents the model, r represents the chamber type, and k is a preset constant;
the refrigerating time per unit temperature is determined by the following formula:
Figure FDA0003169777950000021
wherein, ciAnd ci+1Respectively at time tiAnd ti+1And c is a temperature value ofiGreater than ci+1，tcmpAt a time tiTo ti+1And starting up the compressor of the refrigerator in a time period.
3. A computing device, comprising:
a memory for storing program instructions;
a processor for calling program instructions stored in said memory to execute the method of claim 1 in accordance with the obtained program.
4. A computer storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of claim 1.
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