CN110986312B - Method and device for determining and analyzing refrigeration index of air conditioner - Google Patents
Method and device for determining and analyzing refrigeration index of air conditioner Download PDFInfo
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- CN110986312B CN110986312B CN201911168746.2A CN201911168746A CN110986312B CN 110986312 B CN110986312 B CN 110986312B CN 201911168746 A CN201911168746 A CN 201911168746A CN 110986312 B CN110986312 B CN 110986312B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/38—Failure diagnosis
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
Abstract
The invention discloses a method and a device for determining and analyzing refrigeration indexes of air conditioners. The refrigeration index of the air conditioner is obtained by analyzing the refrigeration data of each air conditioner in the preset time period, so that the air conditioner with abnormal refrigeration is obtained, and the equipment maintenance information can be pushed to the user in time, so that the user experience is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of smart home, in particular to a method and a device for determining and analyzing an air conditioner refrigeration index.
Background
In hot summer, people often use air conditioners to cool. With the increase of the service time of the air conditioner, problems such as refrigerant leakage, component aging, dust on a filter screen, filth blockage and the like can affect the refrigeration effect of the air conditioner, even energy consumption can be increased, the service life can be shortened, the indoor air quality can be affected, and the like. These problems affect the user experience, and in order to avoid this situation, it is necessary to evaluate the cooling condition of the air conditioner, feed it back to the user in time, and remind the user to maintain the air conditioner in time.
Therefore, a method for determining and analyzing a refrigeration index of an air conditioner is needed to evaluate the refrigeration condition of the air conditioner and remind a user to maintain the air conditioner in time, so as to improve user experience.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining and analyzing an air conditioner refrigeration index, which are used for evaluating air conditioner refrigeration, feeding back problems to a user and improving user experience.
In a first aspect, an embodiment of the present invention provides a method for determining and analyzing a refrigeration index of an air conditioner, including:
acquiring refrigeration data of each air conditioner in a preset time period;
determining the refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period;
and determining the air conditioner with abnormal refrigeration according to the refrigeration index of each air conditioner, and pushing equipment maintenance information to a user corresponding to the air conditioner with abnormal refrigeration.
According to the technical scheme, the refrigeration index of the air conditioner is obtained by analyzing the refrigeration data of each air conditioner in the preset time period, so that the air conditioner with abnormal refrigeration is obtained, the equipment maintenance information can be pushed to a user in time, and the user experience is improved.
Optionally, the determining the refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period includes:
according to the refrigeration data of each air conditioner in the preset time period, determining the unit temperature refrigeration time data of each air conditioner;
determining probability distribution corresponding to the unit temperature refrigerating time data and average unit temperature refrigerating time of each air conditioner according to the unit temperature refrigerating time data of each air conditioner and the number of the unit temperature refrigerating time data of each air conditioner;
determining refrigeration index score intervals according to the probability distribution corresponding to the unit temperature refrigeration time data and at least one preset probability threshold, and setting scores corresponding to the refrigeration index score intervals;
and determining the refrigeration index score of each air conditioner according to the score corresponding to the refrigeration index score interval in which the average unit temperature refrigeration time of each air conditioner is positioned.
Optionally, the refrigeration data includes time, model, device ID, and indoor temperature;
the unit temperature refrigeration time data of each air conditioner is determined according to the refrigeration data of each air conditioner in the preset time period, and the method comprises the following steps:
grouping the refrigeration data of each air conditioner in the preset time period according to the equipment ID;
within each group, sorting the refrigeration data by the time;
comparing two adjacent indoor temperatures in each sorted group, and if the two adjacent indoor temperatures are the same, deleting the next indoor temperature to obtain a simplified data record;
and determining the unit temperature refrigerating time data of each air conditioner according to the indoor temperature of each air conditioner in the simplified data record.
Optionally, the determining, according to the refrigeration index of each air conditioner, an air conditioner with abnormal refrigeration includes:
and determining the air conditioner with the refrigeration index smaller than a preset threshold value corresponding to the continuous preset number of time periods as the air conditioner with abnormal refrigeration.
In a second aspect, an embodiment of the present invention provides an apparatus for determining and analyzing a refrigeration index of an air conditioner, including:
the system comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring refrigeration data of each air conditioner in a preset time period;
the processing unit is used for determining the refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period; and determining the air conditioner with abnormal refrigeration according to the refrigeration index of each air conditioner, and pushing equipment maintenance information to a user corresponding to the air conditioner with abnormal refrigeration.
Optionally, the processing unit is specifically configured to:
according to the refrigeration data of each air conditioner in the preset time period, determining the unit temperature refrigeration time data of each air conditioner;
determining probability distribution corresponding to the unit temperature refrigerating time data and average unit temperature refrigerating time of each air conditioner according to the unit temperature refrigerating time data of each air conditioner and the number of the unit temperature refrigerating time data of each air conditioner;
determining refrigeration index score intervals according to the probability distribution corresponding to the unit temperature refrigeration time data and at least one preset probability threshold, and setting scores corresponding to the refrigeration index score intervals;
and determining the refrigeration index score of each air conditioner according to the score corresponding to the refrigeration index score interval in which the average unit temperature refrigeration time of each air conditioner is positioned.
Optionally, the refrigeration data includes time, model, device ID, and indoor temperature;
the processing unit is specifically configured to:
grouping the refrigeration data of each air conditioner in the preset time period according to the equipment ID;
within each group, sorting the refrigeration data by the time;
comparing two adjacent indoor temperatures in each sorted group, and if the two adjacent indoor temperatures are the same, deleting the next indoor temperature to obtain a simplified data record;
and determining the unit temperature refrigerating time data of each air conditioner according to the indoor temperature of each air conditioner in the simplified data record.
Optionally, the processing unit is specifically configured to:
and determining the air conditioner with the refrigeration index smaller than a preset threshold value corresponding to the continuous preset number of time periods as the air conditioner with abnormal refrigeration.
In a third aspect, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the method for determining and analyzing the air conditioner refrigeration index according to the obtained program.
In a fourth aspect, embodiments of the present invention further provide a computer-readable non-volatile storage medium, which includes computer-readable instructions, and when the computer-readable instructions are read and executed by a computer, the computer is caused to perform the above method for determining and analyzing an air conditioner refrigeration index.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, 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 a system architecture according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a method for determining and analyzing a refrigeration index of an air conditioner according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for determining and analyzing a refrigeration index of an air conditioner according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Fig. 1 illustrates an exemplary system architecture to which embodiments of the present invention are applicable, which may include a computing module, a refrigeration data analysis module, and a user service module.
As shown in fig. 1, Step 1: the calculation module acquires refrigeration data records of the air conditioners in a period of time from the database, calculates the unit temperature refrigeration time of each air conditioner, and then stores the result data into the database.
Step 2: the refrigeration index analysis module reads the calculation result of the calculation module from the database, calculates the refrigeration index of each air conditioner, and stores the result data into the database.
Step 3: the user service module reads the equipment refrigeration index data from the database, finds out the equipment ID with the refrigeration index continuously low, and then pushes equipment maintenance information, maintenance consultation and the like to related users.
It should be noted that the structure shown in fig. 1 is only an example, and the embodiment of the present invention is not limited thereto.
Based on the above description, fig. 2 shows in detail a flow of a method for determining an analysis air-conditioning refrigeration index according to an embodiment of the present invention, which may be performed by an apparatus for determining an analysis air-conditioning refrigeration index.
As shown in fig. 2, the process specifically includes:
In the embodiment of the present invention, first, the calculation module obtains the refrigeration data record of the air conditioner in a period of time (generally, one day) from the database and loads the refrigeration data record into the calculation module, including but not limited to time, model, device ID, and indoor temperature, which are recorded as (T, k, ID, T). The time T is the time of data recording, each machine type k corresponds to one air conditioner type, the equipment ID can uniquely identify one air conditioner, and the indoor temperature T is the indoor temperature.
Step 202, determining the refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period.
Specifically, unit temperature refrigeration time data of each air conditioner can be determined according to refrigeration data of each air conditioner in a preset time period, then probability distribution corresponding to the unit temperature refrigeration time data and average unit temperature refrigeration time of each air conditioner are determined according to the unit temperature refrigeration time data of each air conditioner and the number of the unit temperature refrigeration time data of each air conditioner, a refrigeration index score interval is determined according to the probability distribution corresponding to the unit temperature refrigeration time data and at least one preset probability threshold, a score corresponding to each refrigeration index score interval is set, and finally, the refrigeration index score of each air conditioner is determined according to a score corresponding to the refrigeration index score interval where the average unit temperature refrigeration time of each air conditioner is located. The predetermined at least one probability threshold may be set empirically.
When the unit temperature refrigeration time data of each air conditioner is determined, the method specifically includes: the refrigeration data of each air conditioner in the preset time period are grouped according to the equipment ID, the refrigeration data are sorted according to time in each group, two adjacent indoor temperatures in each group after sorting are compared, if the two indoor temperatures are the same, the next indoor temperature is deleted to obtain a simplified data record, and the unit temperature refrigeration time data of each air conditioner is determined according to the indoor temperatures of each air conditioner in the simplified data record.
For example, the calculation module calculates the cooling time per unit temperature of each air conditioner:
a) and grouping the data by the device ID.
b) Within each packet, the data records are sorted by time.
c) And for the sorted data records, comparing the indoor temperatures of two adjacent data records, and deleting the next data record if the indoor temperatures are the same to obtain a simplified data record.
d) Calculating the refrigeration time per temperature T using the reduced data recordID,k,ti(subscript ID denotes device ID, k denotes model, ti denotes temperature at time i).
The calculation formula is as follows:
Wherein, TiAnd Ti+1Time of i and i +1 records in the reduced data record, tiAnd ti+1Room temperature recorded for the i and i +1 th records in the reduced data record, respectively.
The result of the calculation of the cooling time per unit temperature is stored as (k, ID, d, t)i,TID,k,ti) Wherein d represents a date.
e) And storing the calculation result in a database.
The refrigeration index analysis module reads the calculation result of the calculation module from the database and completes the following processes:
a) according to model k, date d and initial temperature tiAnd summarizing all the refrigerating time data of the unit temperature of all the devices.
b) And calculating the probability distribution of the data, wherein the calculation formula is as follows:
where, T0 denotes a time value,
indicating the cooling time TID,k,tiNumber of data less than T0，NallRepresenting the total number of data, P (T0) is a probability distribution value.
c) Dividing the probability distribution into a plurality of refrigeration index score intervals, for example, into 5 refrigeration index score intervals, by a preset probability threshold: [0, T1], (T1, T2], (T2, T3], (T3, T4], (T4, ∞), and the scores corresponding to the score intervals of the refrigeration index correspond to 5, 4, 3, 2 and 1 points, respectively, wherein the values of T1, T2, T3 and T4 are obtained by the following formulas:
P(T1)＝0.9；
P(T2)＝0.98；
P(T3)＝0.996；
P(T4)＝0.9992。
d) and calculating the average unit temperature refrigerating time of each device.
Wherein N isIDThe number of data records of the device ID in the unit temperature cooling time data is shown.
e) Recording the value corresponding to the refrigeration index value interval of the average unit temperature refrigeration time of each device as VID,tiCalculating the refrigeration index score of each device:
VID＝si*VID,ti
wherein s isiThe coefficient factor can be set empirically. For all ti，siThe sum of (1).
f) Storing the equipment refrigeration index score into a database in the format of (ID, d, V)ID)。
And 203, determining air conditioners with abnormal refrigeration according to the refrigeration indexes of the air conditioners, and pushing equipment maintenance information to users corresponding to the air conditioners with abnormal refrigeration.
And determining the air conditioner with the refrigeration index smaller than the preset threshold value corresponding to the continuous preset number of time periods as the air conditioner with abnormal refrigeration.
The user service module reads the equipment refrigeration index score from the database, finds out the equipment ID with the refrigeration index continuously low, and then pushes equipment maintenance information, maintenance consultation and the like to related users.
In order to better explain the implementation of the present invention, the following describes a procedure for determining and analyzing the refrigeration index of the air conditioner in a specific implementation scenario. Specifically, the method comprises the following steps:
step 1: the state data of the air conditioner in one day is obtained from the database and loaded into a calculation module, as shown in the following table 1.
TABLE 1
Then, the calculation module calculates the refrigerating time of each air conditioner unit temperature:
the data is grouped by device ID, with the results as in table 1 above.
Within each packet, the data records are sorted by time, with the results as in table 1 above.
In each group, the indoor temperatures of two adjacent data records are compared, and if the indoor temperatures are the same, the next data record is deleted to obtain a simplified data record, and the results are as follows in table 2:
TABLE 2
According to the data in the above Table 2, the refrigerating time T per unit temperature is calculatedID,k：
The calculation results are stored in a database, as shown in table 3 below:
TABLE 3
Step 2: the refrigeration index analysis module reads the calculation result of the calculation module from the database and completes the following processes:
all the unit temperature refrigeration time data of all the devices are summarized according to the model k, the date d and the initial temperature ti, and are shown in the table 4.
TABLE 4
The probability distribution is divided into 2 intervals, and the probability value is set to 67%:
when P (T1) is 0.67, T1 is 0.00833.
The cooling interval is divided into [0, 0.00833], (0.00833, ∞), and the cooling index scores thereof correspond to 2 points and 1 point, respectively.
Calculating the average unit temperature refrigerating time of each device:
calculating the refrigeration index score of each device:
VA1＝1*2＝2；
VA2＝1*1＝1；
VA2＝1*2＝2；
the equipment refrigeration index score is stored in the database in the format (ID, d, VID) as shown in table 5.
TABLE 5
| Device ID | Date | Index of refrigeration |
| A1 | 2018-05-01 | 2 |
| A2 | 2018-05-01 | 1 |
| A3 | 2018-05-01 | 2 |
Step 3: the user service module monitors the equipment refrigeration index table in the database, and if the condition that the continuous refrigeration index score is too low (for example, the score is 1 in 3 days) is found, the user service module acquires the information of the user through the equipment ID, and then pushes equipment maintenance knowledge and a maintenance consultation mode to the user.
The embodiment shows that the refrigeration data of each air conditioner in the preset time period is obtained, the refrigeration index of each air conditioner is determined according to the refrigeration data of each air conditioner in the preset time period, the air conditioner with abnormal refrigeration is determined according to the refrigeration index of each air conditioner, and the equipment maintenance information is pushed to the user corresponding to the air conditioner with abnormal refrigeration. The refrigeration index of the air conditioner is obtained by analyzing the refrigeration data of each air conditioner in the preset time period, so that the air conditioner with abnormal refrigeration is obtained, and the equipment maintenance information can be pushed to the user in time, so that the user experience is improved.
Based on the same technical concept, fig. 3 exemplarily shows a structure of an apparatus for determining an analysis air-conditioning refrigeration index according to an embodiment of the present invention, which may perform a process for determining an analysis air-conditioning refrigeration index.
As shown in fig. 3, the apparatus specifically includes:
an obtaining unit 301, configured to obtain refrigeration data of each air conditioner within a preset time period;
the processing unit 302 is configured to determine a refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period; and determining the air conditioner with abnormal refrigeration according to the refrigeration index of each air conditioner, and pushing equipment maintenance information to a user corresponding to the air conditioner with abnormal refrigeration.
Optionally, the processing unit 302 is specifically configured to:
according to the refrigeration data of each air conditioner in the preset time period, determining the unit temperature refrigeration time data of each air conditioner;
determining probability distribution corresponding to the unit temperature refrigerating time data and average unit temperature refrigerating time of each air conditioner according to the unit temperature refrigerating time data of each air conditioner and the number of the unit temperature refrigerating time data of each air conditioner;
determining refrigeration index score intervals according to the probability distribution corresponding to the unit temperature refrigeration time data and at least one preset probability threshold, and setting scores corresponding to the refrigeration index score intervals;
and determining the refrigeration index score of each air conditioner according to the score corresponding to the refrigeration index score interval in which the average unit temperature refrigeration time of each air conditioner is positioned.
Optionally, the refrigeration data includes time, model, device ID, and indoor temperature;
the processing unit 302 is specifically configured to:
grouping the refrigeration data of each air conditioner in the preset time period according to the equipment ID;
within each group, sorting the refrigeration data by the time;
comparing two adjacent indoor temperatures in each sorted group, and if the two adjacent indoor temperatures are the same, deleting the next indoor temperature to obtain a simplified data record;
and determining the unit temperature refrigerating time data of each air conditioner according to the indoor temperature of each air conditioner in the simplified data record.
Optionally, the processing unit 302 is specifically configured to:
and determining the air conditioner with the refrigeration index smaller than a preset threshold value corresponding to the continuous preset number of time periods as the air conditioner with abnormal refrigeration.
Based on the same technical concept, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the method for determining and analyzing the air conditioner refrigeration index according to the obtained program.
Based on the same technical concept, embodiments of the present invention also provide a computer-readable non-volatile storage medium, which includes computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer-readable instructions cause the computer to perform the above method for determining and analyzing the air conditioner refrigeration index.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A method for determining an analytical refrigeration index of an air conditioner, comprising:
acquiring refrigeration data of each air conditioner in a preset time period;
determining the refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period;
determining air conditioners with abnormal refrigeration according to the refrigeration indexes of the air conditioners, and pushing equipment maintenance information to users corresponding to the air conditioners with abnormal refrigeration;
the determining the refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period comprises the following steps:
according to the refrigeration data of each air conditioner in the preset time period, determining the unit temperature refrigeration time data of each air conditioner;
determining probability distribution corresponding to the unit temperature refrigerating time data and average unit temperature refrigerating time of each air conditioner according to the unit temperature refrigerating time data of each air conditioner and the number of the unit temperature refrigerating time data of each air conditioner;
determining refrigeration index score intervals according to the probability distribution corresponding to the unit temperature refrigeration time data and at least one preset probability threshold, and setting scores corresponding to the refrigeration index score intervals;
and determining the refrigeration index score of each air conditioner according to the score corresponding to the refrigeration index score interval in which the average unit temperature refrigeration time of each air conditioner is positioned.
2. The method of claim 1, wherein the refrigeration data includes time, model, equipment ID, and indoor temperature;
the unit temperature refrigeration time data of each air conditioner is determined according to the refrigeration data of each air conditioner in the preset time period, and the method comprises the following steps:
grouping the refrigeration data of each air conditioner in the preset time period according to the equipment ID;
within each group, sorting the refrigeration data by the time;
comparing two adjacent indoor temperatures in each sorted group, and if the two adjacent indoor temperatures are the same, deleting the next indoor temperature to obtain a simplified data record;
and determining the unit temperature refrigerating time data of each air conditioner according to the indoor temperature of each air conditioner in the simplified data record.
3. The method according to any one of claims 1 to 2, wherein the step of determining the air conditioner with abnormal refrigeration according to the refrigeration index of each air conditioner comprises the following steps:
and determining the air conditioner with the refrigeration index smaller than a preset threshold value corresponding to the continuous preset number of time periods as the air conditioner with abnormal refrigeration.
4. An apparatus for determining an index of refrigeration for an air conditioner, comprising:
the system comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring refrigeration data of each air conditioner in a preset time period;
the processing unit is used for determining the refrigeration index of each air conditioner according to the refrigeration data of each air conditioner in the preset time period; determining air conditioners with abnormal refrigeration according to the refrigeration indexes of the air conditioners, and pushing equipment maintenance information to users corresponding to the air conditioners with abnormal refrigeration;
the processing unit is specifically configured to:
according to the refrigeration data of each air conditioner in the preset time period, determining the unit temperature refrigeration time data of each air conditioner;
determining probability distribution corresponding to the unit temperature refrigerating time data and average unit temperature refrigerating time of each air conditioner according to the unit temperature refrigerating time data of each air conditioner and the number of the unit temperature refrigerating time data of each air conditioner;
determining refrigeration index score intervals according to the probability distribution corresponding to the unit temperature refrigeration time data and at least one preset probability threshold, and setting scores corresponding to the refrigeration index score intervals;
and determining the refrigeration index score of each air conditioner according to the score corresponding to the refrigeration index score interval in which the average unit temperature refrigeration time of each air conditioner is positioned.
5. The apparatus of claim 4, wherein the refrigeration data includes time, model, equipment ID, and indoor temperature;
the processing unit is specifically configured to:
grouping the refrigeration data of each air conditioner in the preset time period according to the equipment ID;
within each group, sorting the refrigeration data by the time;
comparing two adjacent indoor temperatures in each sorted group, and if the two adjacent indoor temperatures are the same, deleting the next indoor temperature to obtain a simplified data record;
and determining the unit temperature refrigerating time data of each air conditioner according to the indoor temperature of each air conditioner in the simplified data record.
6. The apparatus according to any one of claims 4 to 5, wherein the processing unit is specifically configured to:
and determining the air conditioner with the refrigeration index smaller than a preset threshold value corresponding to the continuous preset number of time periods as the air conditioner with abnormal refrigeration.
7. 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 any one of claims 1 to 3 in accordance with the obtained program.
8. A computer-readable non-transitory storage medium including computer-readable instructions which, when read and executed by a computer, cause the computer to perform the method of any one of claims 1 to 3.
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