CN112066513B - Method, device, equipment and medium for adjusting equipment operation parameter range - Google Patents

Method, device, equipment and medium for adjusting equipment operation parameter range Download PDF

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Publication number
CN112066513B
CN112066513B CN202010895169.3A CN202010895169A CN112066513B CN 112066513 B CN112066513 B CN 112066513B CN 202010895169 A CN202010895169 A CN 202010895169A CN 112066513 B CN112066513 B CN 112066513B
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Prior art keywords
fault
type
parameter
frequent
value
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CN112066513A (en
Inventor
苏世艳
史培荣
向林
白金蓬
黎清顾
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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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
    • 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
    • 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
    • F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
    • 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
    • F24F11/56—Remote control
    • 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
    • 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
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • 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
    • F24F11/88—Electrical aspects, e.g. circuits

Abstract

The invention discloses a method, a device, equipment and a medium for adjusting the range of an equipment operation parameter, which are used for solving the problem that the service life of an air conditioner is influenced because the air conditioner is frequently turned on and off due to the fact that the normal range corresponding to the operation parameter is not appropriate. The embodiment of the invention aims at different areas, determines the frequent fault types of the area, determines the main parameters of faults affecting each fault type in the frequent fault types of the area, determines the main fault types of the area and the target parameters of the faults affecting the main fault types through the analysis of the main parameters, determines the range of the target parameters according to the value of the target parameters in the fault data of the faults of each main fault type of the area, and corrects the range of the target parameters of the faults of the main fault types in the area, thereby effectively avoiding the wear of the air conditioner caused by frequent startup and shutdown due to the inappropriate range of the operating parameters of the air conditioner in different areas and prolonging the service life of the air conditioner.

Description

Method, device, equipment and medium for adjusting equipment operation parameter range
Technical Field
The invention relates to a big data analysis technology, in particular to a method, a device, equipment and a medium for adjusting the operating parameter range of equipment.
Background
Along with the intelligent continuous development of household equipment, household equipment can carry out automatic fault reporting at the change of operation parameter of operation in-process automatic monitoring, for example: when the air conditioner runs, the external temperature is too low, the power can be automatically cut off, when the temperature is recovered to a certain degree, the air conditioner is restarted and the normal operation is recovered, wherein the normal range corresponding to the running parameters is determined by testing the household equipment based on laboratory conditions.
In the prior art, the air conditioners of the same model are controlled by using the same software program, wherein the software program records a normal range corresponding to each preset operation parameter for each fault, that is, the same control logic and the same operation parameter range are adopted for detecting the same fault no matter which area the air conditioner is used in. However, the operation parameters of the air conditioner are influenced by the external environment, the normal ranges corresponding to the same operation parameters are adopted for detecting the air conditioners in different areas, the risk that the ranges of the operation parameters are not proper exists to a certain extent, and the normal ranges corresponding to the operation parameters are not proper, so that the air conditioner is worn due to frequent on-off of the air conditioner, and the service life of the air conditioner is influenced.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for adjusting an equipment operation parameter range, which are used for solving the problems that the service life of an air conditioner is influenced due to the fact that the air conditioner is abraded due to frequent startup and shutdown of the air conditioner because a normal range corresponding to an air conditioner operation parameter is not appropriate in the prior art.
The embodiment of the invention provides a method for adjusting the operating parameter range of equipment, which comprises the following steps:
aiming at each preset area, determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area; determining candidate parameters of faults affecting the frequent fault types according to air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type; determining a target parameter matched with a preset parameter of the region in the main parameters, and taking a frequent fault type corresponding to the target parameter as a main fault type; and correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type.
Further, the determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area includes:
for each type of fault, determining the probability of the type of fault in the area according to the number of air conditioners with the type of fault in the area and the number of air conditioners contained in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
Further, the determining, according to the air conditioner operation parameters carried in the reported fault data, candidate parameters of the fault affecting the frequent fault type includes:
and comparing the value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter aiming at any fault data corresponding to the frequent fault type, and determining the air conditioner operation parameter as a candidate parameter of the fault influencing the frequent fault type if the value of the air conditioner operation parameter is not in the normal range.
Further, the determining, according to the candidate parameter of the fault of each frequent fault type, a main parameter of the fault affecting the frequent fault type includes:
determining main parameters influencing the faults of each frequent fault type according to the value of the candidate parameter of the fault of each frequent fault type and the normal range of the preset candidate parameter;
and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
Further, the determining, according to the value of the candidate parameter of the fault of each frequent fault type and a preset normal range of the candidate parameter, the main parameters affecting the fault of each frequent fault type includes:
for each fault of the frequent fault type, determining a first difference value between a value and a maximum value or a minimum value if the value is determined to exceed the maximum value or be smaller than the minimum value corresponding to the normal range according to the value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, and determining the weight of the value in the normal range according to the first difference value and a second difference value between the maximum value and the minimum value corresponding to the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
Further, the determining the main parameters of the fault affecting the frequent fault type includes:
counting the number of faults of the frequent fault type corresponding to each main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
Further, the correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type includes:
determining the average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the main fault type;
and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
Further, the method further comprises:
and sending the software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner can adjust according to the corrected target parameter range affecting the fault of the main fault type.
The embodiment of the invention also provides a device for adjusting the operating parameter range of equipment, which comprises:
the determining module is used for determining the frequent fault type in each preset area according to the number of the air conditioners with faults of each type in the area; determining candidate parameters of faults affecting the frequent fault types according to air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type; determining a target parameter matched with a preset parameter of the region in the main parameters, and taking a frequent fault type corresponding to the target parameter as a main fault type;
and the adjusting module is used for correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of each fault of the main fault type.
Further, the determining module is specifically configured to determine, for each type of fault, a probability of the type of fault occurring in the area according to the number of air conditioners having the type of fault occurring in the area and the number of air conditioners included in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
Further, the determining module is specifically configured to compare, for any fault data corresponding to the frequent fault type, a value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter, and determine, if the value of the air conditioner operation parameter is not within the normal range, that the air conditioner operation parameter is a candidate parameter of a fault affecting the frequent fault type.
Further, the determining module is specifically configured to determine, according to the value of the candidate parameter of the fault of each frequent fault type and a normal range of a preset candidate parameter, a main parameter that affects the fault of each frequent fault type; and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
Further, the determining module is specifically configured to, for each fault of the frequent fault type, determine, according to a value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, if it is determined that the value exceeds a maximum value corresponding to the normal range or is smaller than a minimum value, a first difference between the value and the maximum value or the minimum value, and determine, according to the first difference and a second difference between the maximum value and the minimum value corresponding to the normal range, a weight of the value occupying the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
Further, the determining module is specifically configured to count, for each main parameter, the number of faults of the frequent fault type corresponding to the main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
Further, the adjusting module is specifically configured to determine an average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the main fault type; and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
Further, the adjusting module is further configured to send a software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner adjusts the target parameter range of the fault affecting the main fault type according to the corrected fault.
An embodiment of the present invention further provides an electronic device, where the electronic device at least includes a processor and a memory, and the processor is configured to execute the steps of any one of the above-mentioned device operation parameter range adjustment methods when executing a computer program stored in the memory.
An embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, performs the steps of any of the above-mentioned device operation parameter range adjustment methods.
The embodiment of the invention aims at different areas, determines the frequent fault types of the area, determines the main parameters of faults affecting each fault type in the frequent fault types of the area, determines the main fault types of the area and the target parameters of the faults affecting the main fault types through the analysis of the main parameters, determines the range of the target parameters according to the value of the target parameters in the fault data of the faults of each main fault type of the area, and corrects the range of the target parameters of the faults of the main fault types in the area, thereby effectively avoiding the air conditioner abrasion caused by frequent startup and shutdown due to the inappropriate range of the operating parameters of the air conditioners in different areas and prolonging the service life of the air conditioner.
Drawings
In order to more clearly illustrate the technical solution 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 the drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating a process for adjusting a range of an operating parameter of a device according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an update process of a software update according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a detailed implementation process of adjusting the range of the operating parameter of the equipment according to the embodiment of the present invention;
fig. 4 is a schematic structural diagram of an adjustment of an operating parameter range of a device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device 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.
In order to avoid abrasion of the air conditioner caused by frequent startup and shutdown and prolong the service life of the air conditioner, the embodiment of the invention provides a method, a device, equipment and a medium for adjusting the operating parameter range of the equipment.
Example 1:
fig. 1 is a schematic diagram of a process for adjusting an operating parameter range of equipment according to an embodiment of the present invention, where the process includes the following steps:
s101: and aiming at each preset area, determining the frequent fault type in the area according to the number of air conditioners with faults of each type in the area.
The device parameter range determination provided by the embodiment of the invention is applied to electronic devices, and the electronic devices can be intelligent devices such as mobile terminals, tablet computers, PCs or servers. For convenience of statistics, the electronic device is generally a server.
In order to avoid abrasion of the air conditioner caused by frequent startup and shutdown, in the embodiment of the invention, analysis is performed based on fault data reported when the air conditioner fails, wherein the fault data reported when the air conditioner fails comprises: the type of the fault, the air conditioner operating parameters when the fault occurs, and the like. And reporting fault data once when the air conditioner has a fault.
Wherein the types of faults include: low temperature protection faults, high voltage protection faults, and the like. Since the fault frequently occurring in each area may be a fault affected by the area, in the embodiment of the present invention, area division is performed in advance, specifically, the area may be divided according to a geographic location and an administrative area, where different areas do not overlap, and the divided areas may include, for example, a northeast area, a southwest area, and the like.
According to the fault data, the fault data corresponding to each regional air conditioner is counted, and for each region, because the type of the fault can be determined, the probability of the fault of the type can be determined according to the number of the air conditioners with the fault of the type, namely the number of the air conditioners with the fault of the type is reported. After the corresponding probabilities are counted for each type of fault in each area, if the probability of each type of fault occurring in each area is not influenced by the area environment, the probability of each type of fault occurring in each area should be basically consistent, but because the probability of a certain type of fault occurring in a certain area is influenced by the area environment, the probability of a certain type of fault occurring in a certain area may be higher than that in other areas, and the type of the fault may be determined as the frequent fault type of the area.
The frequent fault type of one area may be one, multiple or none, and is determined according to the statistical result.
S102: and determining candidate parameters of faults affecting the frequent fault types according to the air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type.
The fault data is data reported when the air conditioner has a fault, the fault data comprises a fault type, air conditioner operation parameters and the like when the air conditioner has the fault, a corresponding normal range is preset for each air conditioner operation parameter, and after the frequent fault type of the area is determined, the following processing is carried out for each fault data comprising the frequent fault type:
according to the value of each air conditioner operation parameter carried in the fault data, the operation parameter influencing the fault, namely the candidate parameter influencing the fault, can be determined. Specifically, for each air conditioner operation parameter in each fault data, it may be determined whether the value of the air conditioner operation parameter is within a normal range corresponding to the air conditioner operation parameter, and if not, it is determined that the air conditioner operation parameter is a candidate parameter for the fault.
The method comprises the steps of recording the type of a fault in one piece of fault data, wherein the fault data records more than one candidate parameter causing the fault in air conditioner operation parameters, and when determining the candidate parameters, determining the candidate parameters influencing the fault according to the fault data of each fault of the frequent fault type. And taking the determined candidate parameters influencing each fault as the candidate parameters of the fault of the frequent fault type.
After determining candidate parameters of faults affecting the frequent fault type for each frequent fault type of each area, the candidate parameters of the faults affecting the frequent fault type may be one or more, generally more, and main parameters of the faults affecting the frequent fault type need to be determined in the candidate parameters, wherein the main parameters of the faults affecting the frequent fault type may be one of the occurrence times of the candidate parameters.
That is, according to the candidate parameter corresponding to each fault of the frequent fault type, for each candidate parameter, the number of faults corresponding to the candidate parameter is counted, and the candidate parameter with the largest number of corresponding faults is used as the main parameter corresponding to the fault of the frequent fault type.
Wherein the air conditioner operation parameters include: the control system comprises one or more of an operation mode, indoor set temperature, indoor environment temperature, inner fan rotating speed, inner machine pipe temperature, inner machine and outer machine communication faults, outdoor environment temperature, outer fan 1 rotating speed, outer fan 2 rotating speed, electronic expansion valve state, outdoor exhaust temperature, IPM module temperature, direct current line voltage, outer machine AC current value, compressor on/off state, compressor operation rotating speed, common defrosting state, oil return state, overload protection, outer machine AC current protection, compressor phase current overcurrent, PFC overcurrent fault, overvoltage protection, IPM temperature protection and the like.
S103: and determining a target parameter matched with the preset parameter of the area in the main parameters, and taking the frequent fault type corresponding to the target parameter as the main fault type.
In order to adjust the range of the operating parameters affecting the frequent faults of each area, parameters which are possibly affected by the area are preset for each area, after the main parameters of each frequent fault type are identified, which type of the main parameters of the frequent fault type are identified to be matched with the preset parameters of the area, the matched main parameters are used as target parameters, and the frequent fault type corresponding to the target parameters is determined to be the main fault type.
S104: and correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type.
Because the fault data carries the values of the air conditioner operation parameters, after the target parameters are determined, the range of the target parameters can be determined according to the values of the target parameters in the fault data reported by the air conditioner with the fault of the main fault type in the area, and the range of the target parameters with the fault of the main fault type in the area is corrected according to the determined range of the target parameters.
The embodiment of the invention determines the frequent fault types of the area aiming at different areas, determines the main parameters of faults affecting each fault type in the frequent fault types of the area, determines the main fault types of the area and the target parameters affecting the main fault types through the analysis of the main parameters, determines the range of the target parameters according to the value of the target parameters in the fault data of the faults of each main fault type of the area, and corrects the range of the target parameters of the faults of the main fault types in the area, thereby effectively avoiding the air conditioner abrasion caused by frequent startup and shutdown due to the improper range of the operating parameters of the air conditioners in different areas and prolonging the service life of the air conditioner.
Example 2:
in order to accurately determine the frequent fault type of each area, on the basis of the above embodiment, in the embodiment of the present invention, the determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area includes:
for each type of fault, determining the probability of the type of fault in the area according to the number of air conditioners with the type of fault in the area and the number of air conditioners contained in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
In the embodiment of the invention, in order to accurately determine the frequent fault type of each area, aiming at each area, the number of air conditioners with each type of fault is determined according to the type of the fault carried in fault data reported when the air conditioners in the area have the fault. And for each type of fault occurring in the area, determining the probability of the fault of the type of the fault occurring in the area according to the ratio of the number of the air conditioners which have the fault of the type occurring in the area to the number of the air conditioners contained in the area.
If the type of failure is not affected by the environment of the zone, the probability of the type of failure occurring in each zone should be substantially the same, if affected by the environment of the area, however, one area may have a higher probability of experiencing this type of failure than other areas, therefore, aiming at the probability of each type of fault in the area, whether the probability of the fault of the type of the fault and the probability of the fault of the type of the fault in any other area are greater than a set difference threshold value or not is judged, if yes, the type of the fault in the area is more frequent, determining that the type of the fault is the type of frequent faults in the area, if not, indicating that the fault of the type of the fault in the area is generally not different from that in other areas, and determining that the type of the fault is not the type of frequent faults in the area. The difference threshold is a preset value, and may be, for example, 50% or 40%, and the size of the specific difference threshold is not limited herein.
For example, if the probability of the low-temperature protection fault in the northeast region is a, the probability of the low-temperature protection fault in the southwest region is b, and a-b is greater than a set difference threshold, the low-temperature protection fault is determined to be one of frequent fault types in the northeast region; and if the probability of the high-voltage protection fault in the southwest region is c, the probabilities of the high-voltage protection faults in the other regions are d, e and f … … respectively, and the c-d, c-e and c-f … … are all smaller than the preset difference threshold, the high-voltage protection fault is determined not to be the frequent fault type in the southwest region.
Example 3:
in order to accurately determine candidate parameters of a fault affecting a frequent fault type in the area, on the basis of the foregoing embodiments, in the embodiment of the present invention, determining the candidate parameters affecting the frequent fault type according to air conditioner operating parameters carried in reported fault data includes:
and comparing the value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter aiming at any fault data corresponding to the frequent fault type, and determining the air conditioner operation parameter as a candidate parameter of the fault influencing the frequent fault type if the value of the air conditioner operation parameter is not in the normal range.
In the embodiment of the invention, in order to accurately determine the candidate parameters of the faults affecting the frequent fault type in the area, the values of the air conditioner operation parameters are known when the faults of the frequent fault type occur because the fault data reported when the air conditioner fails carry the values of the fault-occurring time-space air conditioner operation parameters, and the candidate parameters of the faults of the frequent fault type occur in the air conditioner can be determined because the normal range corresponding to the air conditioner operation parameters is determined.
When the candidate parameters of the faults affecting the frequent fault type are determined, and the fault data of all the faults of the frequent fault type are determined, wherein the fault data are reported when the faults of the frequent fault type occur. And judging whether the value of any air conditioner operation parameter carried in the fault data is within a normal range corresponding to the air conditioner operation parameter or not aiming at any fault data, and if not, determining the air conditioner operation parameter as a candidate parameter of the fault influencing the frequent fault type. When the candidate parameters of the frequent fault type are determined, each fault data of the fault of the frequent fault type is determined, and the accuracy of determination is guaranteed.
In order to accurately determine the main parameters of the faults affecting the type of the frequent fault, on the basis of the foregoing embodiments, in an embodiment of the present invention, the determining the main parameters of the faults affecting the type of the frequent fault according to the candidate parameters of each fault of the type of the frequent fault includes:
determining main parameters influencing the faults of each frequent fault type according to the value of the candidate parameter of the fault of each frequent fault type and the normal range of the preset candidate parameter;
and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
For each fault of the frequent fault type, the weight of the candidate parameter of the fault can be determined according to the candidate parameter influencing the fault and the normal range corresponding to the preset candidate parameter, and the candidate parameter with the largest weight is determined as the main parameter influencing the fault.
After determining the main parameters affecting each fault of the frequent fault type, the main parameters affecting each fault of the frequent fault type may be the same or different, and in order to determine the main parameters affecting the fault of the frequent fault type in the area, the main parameters affecting the fault of the frequent fault type are determined for each main parameter affecting the fault of the frequent fault type.
On the basis of the foregoing embodiments, in an embodiment of the present invention, the determining, according to the value of the candidate parameter of the fault of each frequent fault type and the normal range corresponding to the preset candidate parameter, the main parameters affecting the fault of each frequent fault type includes:
for each fault of the frequent fault type, determining a first difference value between a value and a maximum value or a minimum value if the value is determined to exceed the maximum value or be smaller than the minimum value corresponding to the normal range according to the value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, and determining the weight of the value in the normal range according to the first difference value and a second difference value between the maximum value and the minimum value corresponding to the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
In the embodiment of the invention, in order to accurately determine the main parameters affecting the faults of each frequent fault type, the candidate parameters, the values of the candidate parameters and the normal ranges corresponding to the candidate parameters of the faults of each frequent fault type are known, so that the main parameters affecting the faults of each frequent fault type can be determined.
When main parameters influencing the faults of each frequent fault type are determined, and fault data of all the faults of the frequent fault type are determined, wherein the fault data are reported when the faults of the frequent fault type occur. Firstly, for any fault data, determining the weight of the candidate parameters influencing the fault, and determining the candidate parameters corresponding to the maximum weight value in the candidate parameters influencing the fault as the main parameters influencing the fault.
Specifically, when determining the main parameter affecting each fault, first, for the value of each candidate parameter of the fault, determining whether the value of the candidate parameter is greater than a preset maximum value of a normal range corresponding to the candidate parameter or less than a preset minimum value of a normal range corresponding to the candidate parameter, if the value of the candidate parameter is greater than the preset maximum value of the normal range corresponding to the candidate parameter, determining a first difference value of the candidate parameter according to the maximum value of the normal range corresponding to the candidate parameter and the value of the candidate parameter, and determining the weight of the candidate parameter according to a ratio of the first difference value to a second difference value between the maximum value and the minimum value corresponding to the candidate parameter, if the candidate parameter is less than the preset minimum value of the normal range corresponding to the candidate parameter, according to the minimum value of the normal range corresponding to the candidate parameter and the value of the candidate parameter, determining a first difference value of the candidate parameters, determining the weight of the candidate parameters according to the ratio of the first difference value to a second difference value of a maximum value and a minimum value corresponding to the candidate parameters, and determining the candidate parameters corresponding to the maximum value of the weight of all candidate parameters of the fault as main parameters of the fault.
For example: the normal range corresponding to the candidate parameter is [ a, b ], the value of the candidate parameter when the fault occurs is c, and c < a, then the weight of the candidate parameter is (a-c)/(b-a), then a-c is a first difference, b-a is a second difference; if the candidate parameter has a value of d and d > b, then the weight of the candidate parameter is (d-b)/(b-a), where d-b is the first difference and b-a is the second difference.
In order to more accurately determine the main parameters affecting the type of the frequent fault, on the basis of the foregoing embodiments, in an embodiment of the present invention, the determining the main parameters affecting the fault of the type of the frequent fault includes:
counting the number of faults of the frequent fault type corresponding to each main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
For faults of the frequent fault type, as main parameters which may affect each fault are different, in order to more accurately determine the main parameters which affect the faults of the frequent fault type in the region, the main parameters corresponding to each fault in the region are determined by comprehensive analysis.
Main parameters corresponding to each fault may be the same or different, and for each main parameter, counting the number of faults corresponding to the main parameter; and determining the main parameter with the most number of faults as the main parameter of the fault affecting the frequent fault type.
Example 4:
in order to accurately determine the range of the operating parameter of the air conditioner in the area, on the basis of the foregoing embodiments, in an embodiment of the present invention, the correcting the range of the target parameter of the fault of the primary fault type in the area according to the value of the target parameter in the fault data of the fault of each primary fault type includes:
determining the average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the main fault type;
and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
In the embodiment of the present invention, in order to accurately determine the range of the operating parameter of the air conditioner in the area, since the fault data carries the value of the target parameter, that is, the value of the target parameter affecting the fault of the main fault type is known, the target range corresponding to the target parameter in the area is determined according to the value of the target parameter and the preset confidence interval in the reported fault data when all faults of the main fault type occur in the area.
Specifically, according to fault data reported by an air conditioner with a fault of a main fault type in the area, a value of a target parameter affecting the fault of the main fault type is extracted, according to the extracted value of the target parameter, an average value of the target parameter and a standard deviation of the target parameter are determined, according to a preset confidence interval, a target range corresponding to the target parameter is determined, and the range of the target parameter is corrected by adopting the determined target range corresponding to the target parameter. The size of the preset confidence interval can be flexibly set according to needs, and is not limited herein.
Taking the northeast region as an example for explanation, determining that the fault of the main fault type of the northeast region is a low-temperature protection fault and the target parameter affecting the fault of the main fault type is the outdoor environment temperature according to the embodiments, calculating the average value mu and the standard deviation sigma according to the value of the target parameter outdoor environment temperature carried in the reported fault data when all low-temperature protection faults occur in the northeast region, and if the preset confidence interval is (mu-Z)α/2σ,μ+Zα/2σ) Where α is the area covered by the normal distribution of the confidence level, Zα/2For the corresponding standard score, the upper limit of the confidence interval is taken as the minimum value of the range of the target parameter, for example:the normal range corresponding to the outdoor environment temperature of the current air conditioner is derived from laboratory data, wherein the normal range corresponding to the outdoor environment temperature is (5, + ∞) that is when the difference between the outdoor environment temperature and the temperature detected by the outer machine temperature sensing bulb is more than 5 ℃, the air conditioner starts the low-temperature protection program, by analyzing the fault data reported when the low-temperature protection fault occurs in the northeast region, when the low-temperature protection fault occurs, the confidence interval of the difference value between the external environment temperature and the temperature of the temperature sensing bulb is between 6 and 7 ℃, since the temperature of the northeast region is low, the temperature difference is large, the normal range corresponding to laboratory data as the main parameter is not proper, and the scheme of selecting the minimum value of the range with the upper limit of the confidence interval of 7 ℃ as the target parameter is reasonable, namely, the range of the outdoor environment temperature is corrected by adopting (7, + ∞).
Example 5:
in order to accurately adjust the operating parameters of the region, the method further comprises:
and sending the software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner can adjust according to the corrected target parameter range affecting the fault of the main fault type.
In order to accurately correct the range of the target parameter of the fault of the main fault type in each area, the embodiment of the present invention sends the software update package of the area to each air conditioner in the area, so that the range of the target parameter of each air conditioner is adjusted, and the adjustment is performed according to the corrected range of the target parameter affecting the fault of the main fault type. Wherein the range of the target parameter of the fault of the main fault type of the area is carried in the software update package of the area.
Fig. 2 is a schematic diagram of an update process of updated software according to an embodiment of the present invention, where the process includes the following steps:
s201: and after the air conditioner is installed in the network, sending positioning information to the server.
The specific air conditioner can be positioned through any one of GPS positioning, base station positioning and WIFI positioning, so that positioning information is obtained, and the positioning information can be sent to the server after the air conditioner is networked.
S202: and after receiving the positioning information sent by the air conditioner, the server sends a software remote upgrading instruction to the air conditioner.
S203: and after receiving the software upgrading instruction sent by the server, the air conditioner sends a reply instruction for agreeing to upgrading to the server.
S204: and after receiving a reply instruction sent by the air conditioner, the server determines the area where the air conditioner is located and sends a software update package corresponding to the area to the air conditioner.
S205: and after receiving the software update package sent by the server, the air conditioner carries out program upgrade and sends a program upgrade success instruction to the server.
Example 6:
the following describes the adjustment of the range of the operating parameters of the equipment according to the embodiment of the present invention in detail with reference to a specific embodiment.
Fig. 3 is a schematic diagram of a detailed implementation process of adjusting a range of an operating parameter of equipment according to an embodiment of the present invention, where the process includes:
s301: and aiming at each preset area, determining the frequent fault type in the area according to the number of air conditioners with faults of each type in the area.
The following is the operation of each zone for each type of frequent failure:
s302: and judging whether the air conditioner operation parameter with the frequent fault type fault is in a normal range corresponding to the air conditioner operation parameter, if so, executing S303, and if not, executing S304.
S303: the operation parameter is not a candidate parameter for the type of frequent failure, and then S305 is performed.
S304: the operation parameter is a candidate parameter of the frequent fault type.
S305: and determining main parameters of the faults affecting the frequent fault types according to the weight of the candidate parameters of each frequent fault type.
S306: whether the main parameter matches the preset parameter of the area, if yes, execute S307, and if no, execute S308.
S307: the frequent fault type corresponding to the main parameter is used as a main fault type, the main parameter is used as a target parameter of a fault affecting the main fault type of the area, and then S309 is executed.
S308: and finishing the adjustment of the equipment operation parameter range.
S309: and determining a target range corresponding to the target parameter in the region and correcting the range of the target parameter.
S310: and sending the software updating package carrying the corrected range of the target parameters of the fault of the main fault type to each air conditioner in the area.
Example 7:
fig. 4 is a schematic structural diagram of an apparatus operating parameter range adjustment provided in an embodiment of the present invention, where the apparatus includes:
a determining module 401, configured to determine, for each preset area, a frequent fault type in the area according to the number of air conditioners having faults of each type in the area; determining candidate parameters of faults affecting the frequent fault types according to air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type; determining a target parameter matched with a preset parameter of the region in the main parameters, and taking a frequent fault type corresponding to the target parameter as a main fault type;
an adjusting module 402, configured to modify a range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type.
In a possible embodiment, the determining module 401 is specifically configured to, for each type of fault, determine a probability that the type of fault occurs in the area according to the number of air conditioners having the type of fault in the area and the number of air conditioners included in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
In a possible implementation manner, the determining module 401 is further configured to compare, for any fault data corresponding to the frequent fault type, a value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter, and if the value of the air conditioner operation parameter is not within the normal range, determine that the air conditioner operation parameter is a candidate parameter of a fault affecting the frequent fault type.
In a possible implementation manner, the determining module 401 is further configured to determine, according to the value of the candidate parameter of the fault of each frequent fault type and a preset normal range of the candidate parameter, a main parameter that affects the fault of each frequent fault type; and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
In a possible implementation manner, the determining module 401 is further configured to, for each fault of the frequent fault type, determine, according to a value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, if it is determined that the value exceeds a maximum value corresponding to the normal range or is smaller than the minimum value, a first difference between the value and the maximum value or the minimum value, and determine, according to the first difference and a second difference between the maximum value and the minimum value corresponding to the normal range, a weight of the value in the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
In a possible implementation manner, the determining module 401 is further configured to count, for each main parameter, the number of faults of the frequent fault type corresponding to the main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
In a possible implementation manner, the adjusting module 402 is specifically configured to determine an average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the primary fault type; and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
The adjusting module is further configured to send a software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner adjusts the target parameter range of the fault affecting the main fault type according to the corrected target parameter range.
The embodiment of the invention determines the frequent fault types of the area aiming at different areas, determines the main parameters of faults affecting each fault type in the frequent fault types of the area, determines the main fault types of the area and the target parameters affecting the main fault types through the analysis of the main parameters, determines the range of the target parameters according to the value of the target parameters in the fault data of the faults of each main fault type of the area, and corrects the range of the target parameters of the faults of the main fault types in the area, thereby effectively avoiding the air conditioner abrasion caused by frequent startup and shutdown due to the improper range of the operating parameters of the air conditioners in different areas and prolonging the service life of the air conditioner.
Example 8:
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and on the basis of the foregoing embodiments, an embodiment of the present invention further provides an electronic device, as shown in fig. 5, including: the system comprises a processor 501, a communication interface 502, a memory 503 and a communication bus 504, wherein the processor 501, the communication interface 502 and the memory 503 are communicated with each other through the communication bus 504;
the memory 503 has stored therein a computer program which, when executed by the processor 501, causes the processor 501 to perform the steps of:
aiming at each preset area, determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area; determining candidate parameters of faults affecting the frequent fault types according to air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type; determining a target parameter matched with a preset parameter of the region in the main parameters, and taking a frequent fault type corresponding to the target parameter as a main fault type; and correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type.
In a possible embodiment, the determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area includes:
for each type of fault, determining the probability of the type of fault in the area according to the number of air conditioners with the type of fault in the area and the number of air conditioners contained in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
In a possible implementation manner, the determining, according to the air conditioner operation parameter carried in the reported fault data, a candidate parameter of a fault that affects the frequent fault type includes:
and comparing the value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter aiming at any fault data corresponding to the frequent fault type, and determining the air conditioner operation parameter as a candidate parameter of the fault influencing the frequent fault type if the value of the air conditioner operation parameter is not in the normal range.
In a possible implementation manner, the determining, according to the candidate parameters of the fault of each frequent fault type, the main parameters of the fault affecting the frequent fault type includes:
determining main parameters influencing the faults of each frequent fault type according to the value of the candidate parameter of the fault of each frequent fault type and the normal range of the preset candidate parameter;
and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
In a possible implementation manner, the determining, according to the value of the candidate parameter of the fault of each frequent fault type and a preset normal range of the candidate parameter, the main parameter affecting the fault of each frequent fault type includes:
for each fault of the frequent fault type, determining a first difference value between a value and a maximum value or a minimum value if the value is determined to exceed the maximum value or be smaller than the minimum value corresponding to the normal range according to the value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, and determining the weight of the value in the normal range according to the first difference value and a second difference value between the maximum value and the minimum value corresponding to the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
In a possible embodiment, the determining the main parameters of the fault affecting the frequent fault type includes:
counting the number of faults of the frequent fault type corresponding to each main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
In a possible implementation manner, the correcting, according to the value of the target parameter in the fault data of the fault of each of the primary fault types, the range of the target parameter of the fault of the primary fault type in the area includes:
determining the average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the main fault type;
and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
In one possible embodiment, the method further comprises:
and sending the software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner can adjust according to the corrected target parameter range affecting the fault of the main fault type.
Because the principle of the electronic device for solving the problem is similar to that of the communication method, the implementation of the electronic device may refer to the implementation of the method, and repeated details are not repeated.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface 502 is used for communication between the above-described electronic apparatus and other apparatuses.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a central processing unit, a Network Processor (NP), and the like; but may also be a Digital instruction processor (DSP), an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like.
Example 9:
on the basis of the foregoing embodiments, the present invention further provides a computer-readable storage medium, in which a computer program executable by a processor is stored, and when the program runs on the processor, the processor is caused to execute the following steps:
aiming at each preset area, determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area; determining candidate parameters of faults affecting the frequent fault types according to air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type; determining a target parameter matched with a preset parameter of the region in the main parameters, and taking a frequent fault type corresponding to the target parameter as a main fault type; and correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type.
In a possible embodiment, the determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area includes:
for each type of fault, determining the probability of the type of fault in the area according to the number of air conditioners with the type of fault in the area and the number of air conditioners contained in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
In a possible implementation manner, the determining, according to the air conditioner operation parameter carried in the reported fault data, a candidate parameter of a fault that affects the frequent fault type includes:
and comparing the value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter aiming at any fault data corresponding to the frequent fault type, and determining the air conditioner operation parameter as a candidate parameter of the fault influencing the frequent fault type if the value of the air conditioner operation parameter is not in the normal range.
In a possible implementation manner, the determining, according to the candidate parameters of the fault of each frequent fault type, the main parameters of the fault affecting the frequent fault type includes:
determining main parameters influencing the faults of each frequent fault type according to the value of the candidate parameter of the fault of each frequent fault type and the normal range of the preset candidate parameter;
and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
In a possible implementation manner, the determining, according to the value of the candidate parameter of the fault of each frequent fault type and a preset normal range of the candidate parameter, the main parameter affecting the fault of each frequent fault type includes:
for each fault of the frequent fault type, determining a first difference value between a value and a maximum value or a minimum value if the value is determined to exceed the maximum value or be smaller than the minimum value corresponding to the normal range according to the value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, and determining the weight of the value in the normal range according to the first difference value and a second difference value between the maximum value and the minimum value corresponding to the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
In a possible embodiment, the determining the main parameters of the fault affecting the frequent fault type includes:
counting the number of faults of the frequent fault type corresponding to each main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
In a possible implementation manner, the correcting, according to the value of the target parameter in the fault data of the fault of each of the primary fault types, the range of the target parameter of the fault of the primary fault type in the area includes:
determining the average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the main fault type;
and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
In one possible embodiment, the method further comprises:
and sending the software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner can adjust according to the corrected target parameter range affecting the fault of the main fault type.
Since the principle of solving the problem of the computer readable medium is similar to that of the communication method, after the processor executes the computer program in the computer readable medium, the steps implemented may refer to the other embodiments, and repeated parts are not described again.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to 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.
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 (16)

1. A method for adjusting a range of operating parameters of a device, the method comprising:
aiming at each preset area, determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area; determining candidate parameters of faults affecting the frequent fault types according to air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type; determining a target parameter matched with a preset parameter of the region in the main parameters, and taking a frequent fault type corresponding to the target parameter as a main fault type; correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type;
wherein the method further comprises:
and sending the software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner can adjust according to the corrected target parameter range affecting the fault of the main fault type.
2. The method of claim 1, wherein determining the frequent fault type in the area according to the number of air conditioners with each type of fault in the area comprises:
for each type of fault, determining the probability of the type of fault in the area according to the number of air conditioners with the type of fault in the area and the number of air conditioners contained in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
3. The method according to claim 1, wherein the determining candidate parameters of the fault affecting the frequent fault type according to the air conditioner operation parameters carried in the reported fault data comprises:
and comparing the value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter aiming at any fault data corresponding to the frequent fault type, and determining the air conditioner operation parameter as a candidate parameter of the fault influencing the frequent fault type if the value of the air conditioner operation parameter is not in the normal range.
4. The method according to claim 1, wherein the determining, according to the candidate parameters of the faults of each of the frequent fault types, the main parameters of the faults affecting the frequent fault types comprises:
determining main parameters influencing the faults of each frequent fault type according to the value of the candidate parameter of the fault of each frequent fault type and the normal range of the preset candidate parameter;
and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
5. The method according to claim 4, wherein the determining the main parameters affecting the fault of each frequent fault type according to the value of the candidate parameter of the fault of each frequent fault type and a preset normal range of the candidate parameter comprises:
for each fault of the frequent fault type, determining a first difference value between a value and a maximum value or a minimum value if the value is determined to exceed the maximum value or be smaller than the minimum value corresponding to the normal range according to the value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, and determining the weight of the value in the normal range according to the first difference value and a second difference value between the maximum value and the minimum value corresponding to the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
6. The method of claim 4, wherein determining the primary parameters of the fault affecting the frequent fault type comprises:
counting the number of faults of the frequent fault type corresponding to each main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
7. The method according to claim 1, wherein the correcting the range of the target parameter for the fault of the primary fault type in the area according to the value of the target parameter in the fault data for the fault of each primary fault type comprises:
determining the average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the main fault type;
and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
8. An apparatus for adjusting a range of operating parameters of a device, the apparatus comprising:
the determining module is used for determining the frequent fault type in each preset area according to the number of the air conditioners with faults of each type in the area; determining candidate parameters of faults affecting the frequent fault types according to air conditioner operation parameters carried in the reported fault data, and determining main parameters of the faults affecting the frequent fault types according to the candidate parameters of the faults of each frequent fault type; determining a target parameter matched with a preset parameter of the region in the main parameters, and taking a frequent fault type corresponding to the target parameter as a main fault type;
the adjusting module is used for correcting the range of the target parameter of the fault of the main fault type in the area according to the value of the target parameter in the fault data of the fault of each main fault type;
the adjusting module is further configured to send a software update package carrying the corrected target parameter range of the fault of the main fault type to each air conditioner in the area, so that each air conditioner adjusts the target parameter range of the fault affecting the main fault type according to the corrected target parameter range.
9. The device according to claim 8, wherein the determining module is specifically configured to determine, for each type of fault, a probability of the type of fault occurring in the area according to the number of air conditioners in the area where the type of fault occurs and the number of air conditioners included in the area; and if the difference value between the probability of the fault of the type in the region and the probability of the fault of the type in any other region is larger than the set difference value threshold, determining that the type of the fault is the frequent fault type in the region.
10. The apparatus according to claim 8, wherein the determining module is specifically configured to compare, for any fault data corresponding to the frequent fault type, a value of any air conditioner operation parameter carried in the fault data with a normal range corresponding to the air conditioner operation parameter, and if the value of the air conditioner operation parameter is not within the normal range, determine the air conditioner operation parameter as a candidate parameter for a fault that affects the frequent fault type.
11. The apparatus according to claim 8, wherein the determining module is specifically configured to determine, according to a value of a candidate parameter of the fault of each frequent fault type and a preset normal range of the candidate parameter, a main parameter that affects the fault of each frequent fault type; and determining the main parameters of the faults affecting the frequent fault types according to the main parameters of the faults affecting each frequent fault type.
12. The apparatus according to claim 11, wherein the determining module is further configured to, for each fault of the frequent fault type, determine, according to a value of any candidate parameter in the fault data of the fault and a preset normal range corresponding to the candidate parameter, if it is determined that the value exceeds a maximum value corresponding to the normal range or is smaller than the minimum value, a first difference between the value and the maximum value or the minimum value, and determine, according to the first difference and a second difference between the maximum value and the minimum value corresponding to the normal range, a weight of the value in the normal range; and taking the candidate parameter corresponding to the maximum weight value as a main parameter of the fault influencing the frequent fault type.
13. The apparatus according to claim 11, wherein the determining module is further configured to count, for each main parameter, a number of faults of a frequent fault type corresponding to the main parameter; determining the most numerous principal parameters as the principal parameters of faults affecting the frequent fault type.
14. The apparatus according to claim 8, wherein the adjusting module is specifically configured to determine an average value of the target parameter according to the value of the target parameter recorded in the fault data of the fault of the primary fault type; and determining a target range corresponding to the target parameter according to the average value of the target parameter and a preset confidence interval, and correcting the range of the target parameter with the main fault type fault in the region by adopting the target range.
15. An electronic device, comprising at least a processor and a memory, wherein the processor is configured to execute the steps of the method for adjusting the operating parameter range of the device according to any one of claims 1-7 when executing the computer program stored in the memory.
16. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for adjusting the operating parameter range of a device according to any one of claims 1 to 7.
CN202010895169.3A 2020-08-31 2020-08-31 Method, device, equipment and medium for adjusting equipment operation parameter range Active CN112066513B (en)

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