CN117308505B - Intelligent maintenance and decision support method suitable for commercial refrigerator - Google Patents
Intelligent maintenance and decision support method suitable for commercial refrigerator Download PDFInfo
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- CN117308505B CN117308505B CN202311606666.7A CN202311606666A CN117308505B CN 117308505 B CN117308505 B CN 117308505B CN 202311606666 A CN202311606666 A CN 202311606666A CN 117308505 B CN117308505 B CN 117308505B
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D11/00—Self-contained movable devices, e.g. domestic refrigerators
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D21/00—Defrosting; Preventing frosting; Removing condensed or defrost water
- F25D21/002—Defroster control
- F25D21/004—Control mechanisms
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2600/00—Control issues
- F25D2600/06—Controlling according to a predetermined profile
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Abstract
The invention relates to the technical field of data monitoring and processing, in particular to an intelligent maintenance and decision support method applicable to a commercial refrigerator, which comprises the following steps: determining the maintenance grade of each refrigerator according to the running power of a plurality of refrigerators in a preset area in a history period; determining a corresponding monitoring mode according to the maintenance level and the use data of each refrigerator; each refrigerator operates in a test period in a corresponding monitoring mode, and a corresponding monitoring result is obtained; determining a monomer maintenance period corresponding to each refrigerator according to the monitoring result; determining a plurality of local maintenance periods and a plurality of overall maintenance periods according to the single maintenance period and the position distribution; outputting the single maintenance period, the local maintenance period and the whole maintenance period of each refrigerator to a maintenance main body for decision support; the method and the device realize targeted analysis of the maintenance process, further effectively improve the accuracy of the maintenance node, reduce the consumption of maintenance resources and simultaneously effectively ensure the reliability of equipment.
Description
Technical Field
The invention relates to the technical field of data monitoring and processing, in particular to an intelligent maintenance and decision support method suitable for a commercial refrigerator.
Background
With the development of the internet of things technology, self-service commercial refrigerator is widely used, and self-service commercial refrigerator can realize self-service commodity transaction based on the internet of things through a mobile phone, and because no manual management exists, perfect maintenance and management are very important.
Chinese patent grant publication number CN110909092B discloses a status monitoring maintenance internet of things system for community public facilities comprising: the mobile inspection robot is used for receiving the inspection task information sent by the property management end so as to carry out inspection operation on a plurality of public facilities, thereby confirming the state result of the public facilities; the property management end is used for generating a patrol maintenance record list according to the state result of the public facility and issuing a warning command to the networking warning sign, so that after the current state of the public facility sent by the maintainer terminal is received, issuing a cancel warning command to the networking warning sign; the networking warning sign is used for giving an alarm according to the warning command; and the maintainer terminal is used for uploading the current state of the maintained public facility to the property management terminal. The invention can monitor the current state of public facilities in communities, discover the problems of damage, loss and the like of the public facilities in time, and is convenient for maintenance personnel to make maintenance treatment in time; alerts can be applied over damaged utilities to alert people.
Chinese patent application publication number CN104168126B discloses a self-maintenance management system and method for unattended intelligent equipment, comprising the steps of: (1) A supervisory program is arranged in the intelligent equipment and used for checking the running state of the intelligent equipment at regular time and carrying out self-maintenance according to the setting; (2) When the intelligent device starts to work normally, the supervisory program records the running process and network connection information in the intelligent device, performs MD5 verification on important programs in the intelligent device, and records abstract information; (3) The intelligent device periodically checks the change condition of MD5 information of the running process, the network connection and the program through the supervision program, compares the change condition with the MD5 information of the initial running process, the network connection and the program, and then takes corresponding processing measures. The invention can automatically and quickly solve the problem of safety fault management of the unattended intelligent equipment with low cost by a self-maintenance method, and can also realize the functions of automatically finding problems, alarming, automatically maintaining the working environment of the system and the like.
It can be seen that the above method and system have the following problems: the lack of accurate analysis to the equipment maintenance cycle of different service conditions, and then lead to the maintenance untimely or maintain excessively, the accuracy of maintenance node is lower, can not effectively guarantee the reliability of equipment simultaneously when reducing and maintaining the resource consumption.
Disclosure of Invention
Therefore, the invention provides an intelligent maintenance and decision support method suitable for a commercial refrigerator, which is used for solving the problems that in the prior art, accurate analysis on the maintenance periods of the refrigerator in different use states is lacking, so that the accuracy of maintenance nodes is low, and the reliability of the refrigerator cannot be effectively ensured while the consumption of maintenance resources is reduced.
In order to achieve the above purpose, the invention provides an intelligent maintenance and decision support method suitable for a commercial refrigerator, comprising the following steps:
determining the maintenance grade of each refrigerator according to the running power of a plurality of refrigerators in a preset area in a history period;
determining a corresponding monitoring mode according to the maintenance level and the use data of each refrigerator;
each refrigerator operates in a test period in a corresponding monitoring mode, and a corresponding monitoring result is obtained;
determining a monomer maintenance period corresponding to each refrigerator according to the monitoring result;
determining a plurality of local maintenance periods and a plurality of overall maintenance periods according to the single maintenance period and the position distribution;
outputting the single maintenance period, the local maintenance period and the whole maintenance period of each refrigerator to a maintenance main body for decision support;
the use data comprise use frequency, door opening time length and an opening angle, the monitoring modes comprise a first monitoring mode for detecting frosting degree through the change of light receiving quantity of the photosensitive paste and a second monitoring mode for monitoring sound waves sent by a compressor of the refrigerator by using a sound wave collector.
Further, the maintenance levels include a first maintenance level, a second maintenance level, and a third maintenance level;
wherein, the first maintenance grade meets the condition that the refrigerator is indoor; the second maintenance level meets the condition that the refrigerator is outdoor and the running power is smaller than or equal to the preset power; the third protection level meets the condition that the refrigerator is outdoor and the running power is larger than the preset power.
Further, in the test period, aiming at the plurality of refrigerators of the second protection level and the third protection level, the refrigerator with the use frequency being greater than the preset frequency is monitored in the first monitoring mode, and the refrigerator with the use frequency being less than or equal to the preset frequency and being in the third protection level is monitored in the second monitoring mode.
Further, setting preset door opening time length according to the refrigerating temperature and the volume of the refrigerator aiming at the refrigerator with the first maintenance grade, carrying out frosting characteristic marking when the door opening time length of the refrigerator is detected to be longer than the preset door opening time length and the opening angle is larger than the preset angle,
if the number of the frosting characteristic marks of the refrigerator is larger than a preset magnitude, monitoring the refrigerator in the first monitoring mode in the test period;
if the number of the frosting characteristic marks of the refrigerator is smaller than or equal to a preset magnitude, the running power is larger than the preset power, the using frequency is larger than the preset frequency, and the refrigerator is monitored in the second monitoring mode in the test period;
the preset door opening time length is positively correlated with the refrigerating temperature and negatively correlated with the volume.
Further, monitoring a plurality of refrigerators which do not adopt the first monitoring mode and the second monitoring mode by adopting a third monitoring mode;
the third monitoring mode is to obtain the temperature of the refrigerator and analyze the temperature fluctuation degree in the test period.
Further, the monitoring results are respectively the frosting degree of the photosensitive paste, the frequency fluctuation amount of the sound wave acquired by the sound wave acquisition device and the temperature fluctuation degree of different refrigerators;
the monomer maintenance period is inversely related to the frosting degree, the frequency fluctuation amount and the temperature fluctuation degree, and the frosting degree is the ratio of the frosting area to the total area of the photosensitive paste.
Further, the determining process of the local maintenance period includes the following steps;
dividing the preset area into a plurality of subareas according to the position distribution;
and taking the least common multiple of the corresponding plurality of monomer maintenance periods of the plurality of refrigerators in the single subarea as the local maintenance period of the subarea.
Further, the overall maintenance period is the least common multiple of the local maintenance period of each sub-area.
Further, the maintenance measures corresponding to the single maintenance period, the local maintenance period and the overall maintenance period are different.
Further, after the integral maintenance period is determined, a maintenance time node of maintenance measures corresponding to the integral maintenance period is determined according to the frigidity interval of each subarea, and a maintenance path of maintenance measures corresponding to the integral maintenance period is determined according to the subarea distribution;
wherein, the frigidity interval is a period of time when the frequency of use in a single day is less than or equal to the comparison frequency; the maintenance time node is positioned in the frigid zone, and the maintenance path satisfies that two sub-areas for sequentially carrying out maintenance measures are adjacent and the sub-areas are positioned in an expansion zone of the frigid zone when the maintenance is carried out on a single sub-area;
wherein the comparison frequency is related to the preset frequency, the number of sub-regions and the number of days of the history period, and the expansion section is a section centered on the frigid section and having a capacity 3 times that of the frigid section.
Compared with the prior art, the method has the beneficial effects that the monitoring mode is determined through the maintenance level and the use parameter, the multi-level maintenance period is determined through the operation of the test period in the monitoring mode, and the maintenance measures with different degrees are carried out in each level of maintenance period, so that the pertinence analysis of the maintenance process is realized, the accuracy of the maintenance node is further effectively improved, the consumption of maintenance resources is reduced, and meanwhile, the reliability of equipment is effectively ensured.
Further, the maintenance level is judged through the position and the power of the refrigerator, the fault probability of the refrigerator in the room is lower, the fault probability of the refrigerator in the outdoor is higher, the higher the power is, the lower the reliability of the equipment is, the follow-up monitoring mode is convenient to be determined in a targeted manner through preliminary maintenance level division, and the accuracy of maintenance nodes is further improved.
Further, the refrigerator with the use frequency being larger than the preset frequency is monitored in a first monitoring mode, the refrigerator with the use frequency being higher and being outside is high in frosting probability, and the frosting effect is affected after frosting, so that the frosting degree of the refrigerator is monitored by arranging the photosensitive paste, the photosensitive paste is simple and convenient to install in a pasting mode, the testing effect is reliable, the universality of the method is improved, the refrigerator with the use frequency being smaller than or equal to the preset frequency and being in a third protection level is monitored in a second monitoring mode, the pressure of the refrigerator is high for long-time outdoor high-power operation, particularly in high-temperature weather, the compressor is prone to faults, the working state of the compressor can be simply, conveniently and effectively monitored by collecting voiceprints of the compressor, and the accuracy of maintenance nodes is further improved.
Further, when the door of the indoor refrigerator is too long and is opened relatively large, the indoor refrigerator has extremely high frosting possibility, so that the first monitoring mode is adopted for monitoring, the second monitoring mode is adopted for monitoring the indoor refrigerator with running power larger than preset power and using frequency larger than preset frequency, the working load of the residual refrigerator is small and frosting is not easy to occur, the temperature stability of the temperature control process is directly collected for analysis, the refrigerators in different states are correspondingly subjected to the proper monitoring mode, the maintenance pertinence is improved, the excessive consumption of maintenance resources is avoided, and the accuracy of maintenance nodes is further improved.
Furthermore, the invention determines the single maintenance period through a single formula for various monitoring modes, reduces the calculated amount, the single maintenance period is the maintenance unique to a single refrigerator, the worse the monitoring result is, the shorter the required maintenance period is, and the local maintenance period for sub-region maintenance and the whole maintenance period of all the refrigerators determined by the least common divisor can avoid the overlapping of maintenance, thereby effectively reducing the consumption of maintenance resources and further improving the accuracy of maintenance nodes.
Furthermore, the invention determines the maintenance time node and the maintenance path, avoids the time period with higher frequency of use, avoids the transaction influence on the maintenance path caused by maintenance, improves the maintenance efficiency and further improves the accuracy of the maintenance node.
Drawings
FIG. 1 is a flow chart of the intelligent maintenance and decision support method of the invention for a commercial refrigerator;
FIG. 2 is a flow chart of determining a local maintenance period according to an embodiment of the present invention;
FIG. 3 is a schematic view of area division according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, a flowchart of the method for intelligent maintenance and decision support of a commercial refrigerator according to the present invention is shown, and the method for intelligent maintenance and decision support of a commercial refrigerator is applied to a vending-free refrigerator, and includes:
determining the maintenance grade of each refrigerator according to the running power of a plurality of refrigerators in a preset area in a history period;
it will be appreciated that the historical period is the minimum number of days before the current time that can reveal the statistical characteristics of the refrigerator.
Determining a corresponding monitoring mode according to the maintenance level and the use data of each refrigerator;
it is understood that the usage data is usage data in a history period.
Each refrigerator operates in a test period in a corresponding monitoring mode, and a corresponding monitoring result is obtained;
in practice, the number of days of the test period is the same as the historical period.
Determining a monomer maintenance period corresponding to each refrigerator according to the monitoring result;
determining a plurality of local maintenance periods and a plurality of overall maintenance periods according to the single maintenance period and the position distribution;
outputting the single maintenance period, the local maintenance period and the whole maintenance period of each refrigerator to a maintenance main body for decision support;
it is understood that decision support is the prior art, i.e. the selection of maintenance decisions is performed according to the maintenance period obtained by the method, and will not be described in detail herein.
The monitoring method comprises the steps of adhering the photosensitive paste to the inner surface of the refrigerator, detecting the frosting degree through the change of the light receiving quantity of the photosensitive paste, and monitoring the sound wave sent by the compressor of the refrigerator by using the sound wave collector.
The monitoring mode is determined through the maintenance level and the use parameter, the multi-level maintenance period is determined through the operation of the test period in the monitoring mode, and maintenance measures with different degrees are carried out in each level of maintenance period, so that the pertinence analysis of the maintenance process is realized, the accuracy of maintenance nodes is further effectively improved, and the reliability of equipment is effectively ensured while the consumption of maintenance resources is reduced.
Specifically, the maintenance levels include a first maintenance level, a second maintenance level, and a third maintenance level;
wherein, the first maintenance level meets the condition that the refrigerator is indoor; the second maintenance level meets the condition that the refrigerator is outdoor and the running power is smaller than or equal to the preset power; the third protection level meets the condition that the refrigerator is outdoor and the running power is larger than the preset power.
It can be appreciated that the preset power is determined according to the type of the refrigerator, and may be any magnitude capable of realizing the judging function thereof and can be determined by linear regression, and the subsequent preset values are the same and are not described herein.
The maintenance level is judged through the position and the power of the refrigerator, the fault probability of the refrigerator in the room is lower, the fault probability of the refrigerator in the outdoor is higher, the higher the power is, the lower the reliability of the equipment is, and the follow-up monitoring mode is convenient to determine in pertinence through preliminary maintenance level division, so that the accuracy of maintenance nodes is further improved.
Specifically, in a test period, aiming at a plurality of refrigerators of a second protection level and a third protection level, the refrigerators with the use frequency being greater than a preset frequency are monitored in a first monitoring mode, and the refrigerators with the use frequency being less than or equal to the preset frequency and at the third protection level are monitored in a second monitoring mode.
It can be understood that the refrigerator with the use frequency being greater than the preset frequency is monitored in a first monitoring mode, the refrigerator with the use frequency being higher and being outside is high in frosting probability, and the frosting effect is affected after frosting, so that the frosting degree of the refrigerator is monitored by setting the photosensitive paste, the photosensitive paste is simple and convenient to mount in a pasting mode, the testing effect is reliable, the universality of the method is improved, the refrigerator with the use frequency being less than or equal to the preset frequency and being in a third protection level is monitored in a second monitoring mode, the pressure of the compressor is large during long-time outdoor high-power operation, particularly in high-temperature weather, the compressor is prone to failure, the working state of the compressor can be simply and effectively monitored by collecting voiceprints of the compressor, and the accuracy of maintenance nodes is further improved.
In implementation, the photosensitive patch may be any device capable of implementing the corresponding function of the method, which is various in the prior art, and will not be described herein. The calculation and judgment processing processes of the method are performed through a singlechip, a PLC or an industrial computer which can realize corresponding functions, and are not repeated here.
Specifically, aiming at the refrigerator with the first maintenance level, the preset door opening time length is set according to the refrigerating temperature and the volume of the refrigerator, the frosting characteristic mark is carried out when the door opening time length of the refrigerator is detected to be longer than the preset door opening time length and the opening angle is larger than the preset angle,
if the number of the frosting characteristic marks of the refrigerator is larger than a preset magnitude, monitoring the refrigerator in a first monitoring mode in a test period;
if the number of the frosting characteristic marks of the refrigerator is smaller than or equal to a preset magnitude, the running power is larger than the preset power, the using frequency is larger than the preset frequency, and the refrigerator is monitored in a second monitoring mode in a test period;
the preset door opening time length is positively correlated with the refrigerating temperature and negatively correlated with the volume.
Specifically, a plurality of refrigerators which do not adopt the first monitoring mode and the second monitoring mode are monitored by adopting a third monitoring mode;
the third monitoring mode is to obtain the temperature of the refrigerator and analyze the temperature fluctuation degree in the test period.
It can be understood that when the door opening time of the indoor refrigerator is too long and the door opening time is large, the indoor refrigerator is also extremely large in frosting possibility, so that the first monitoring mode is adopted for monitoring, the second monitoring mode is adopted for monitoring the residual refrigerator because the compressor load of the indoor refrigerator is larger than the running power and the using frequency is larger than the preset frequency, so that the temperature stability of the residual refrigerator is analyzed by directly collecting the temperature control process, the refrigerators in different states are correspondingly monitored, the maintenance pertinence is improved, the excessive consumption of maintenance resources is avoided, and the accuracy of maintenance nodes is further improved.
Specifically, the monitoring results are respectively the frosting degree of the photosensitive paste, the frequency fluctuation amount and the temperature fluctuation degree of the sound wave collected by the sound wave collector for different refrigerators;
the monomer maintenance period is inversely related to the frosting degree, the frequency fluctuation amount and the temperature fluctuation degree, and the frosting degree is the ratio of the frosting area to the total area of the photosensitive paste.
Alternatively, the monomer maintenance period T is determined by formula (1);
（1）
wherein S is the degree of frosting, α is a frosting conversion coefficient, f is the frequency fluctuation amount, β is a frequency conversion coefficient, k is the temperature fluctuation degree, γ is a temperature conversion coefficient, and in implementation, each conversion coefficient is any parameter capable of converting the dimension and the weight of each monitoring result according to the statistical characteristics so as to achieve the purpose of calculation, which is not described herein.
In an implementation, the frequency fluctuation amount and the temperature fluctuation degree are variances of several sets of frequency data and variances of several sets of temperature data in the test period, respectively.
Referring to fig. 2, which is a flowchart illustrating a method for determining a local maintenance period according to an embodiment of the present invention, the method for determining the local maintenance period includes the following steps;
dividing a preset area into a plurality of subareas according to the position distribution;
and taking the least common multiple of the corresponding plurality of monomer maintenance periods of the plurality of refrigerators in the single subarea as the local maintenance period of the subarea.
Referring to fig. 3, which is a schematic diagram of area division in the embodiment of the present invention, preferably, the division of the subareas satisfies that the refrigerators in the subareas are adjacent in sequence and the sum of the grades of the single subareas is 10, it can be understood that the rest of the division is not 10, so that the purpose of the division is to balance the maintenance resource consumption of each area, and further reduce the difference of the maintenance time lengths of each area so as to facilitate the planned implementation of the corresponding measures of the whole maintenance period.
Specifically, the overall maintenance period is the least common multiple of the local maintenance period of each sub-region.
Example 1: 10 refrigerators are arranged in a certain subarea, and the single maintenance period of each refrigerator is as follows in sequence: 5 days, 6 days, 3 days, 10 days, 5 days, 3 days, 2 days, 6 days, 5 days.
The corresponding local maintenance period is 30 days which is the least common multiple of the values of each day, and the whole maintenance period is the same.
The single maintenance period is determined by a single formula for various monitoring modes, the calculated amount is reduced, the single maintenance period is the maintenance unique to a single refrigerator, the worse the monitoring result is, the shorter the required maintenance period is, and the local maintenance period for sub-region maintenance and the whole maintenance period of all the refrigerators are determined by the least common divisor, so that the maintenance overlap can be avoided, the maintenance resource consumption is effectively reduced, and the accuracy of the maintenance node is further improved.
Specifically, the maintenance measures corresponding to the single maintenance period, the local maintenance period, and the overall maintenance period are different.
Optionally, the maintenance measures aiming at the single maintenance period are used for cleaning the inside, the inspection door seals and the temperature display are mainly, the time interval is short, and the periodical maintenance of the single refrigerator is emphasized.
The maintenance measures aiming at the regional maintenance period comprise maintenance projects of a single refrigerator, public systems such as power supply, power distribution, temperature control and the like of an inspection region are enlarged, the regional environment is disinfected, the time interval is medium, and the maintenance surface is enlarged to a regional level.
Aiming at the whole maintenance period, each refrigerator is traversed to carry out deep maintenance, all public systems are comprehensively overhauled and updated, the whole space is cleaned and disinfected, and the management system is checked, so that the time span is the largest.
Specifically, after the integral maintenance period is determined, a maintenance time node of maintenance measures corresponding to the integral maintenance period is determined according to the frigidity interval of each subarea, and a maintenance path of maintenance measures corresponding to the integral maintenance period is determined according to the subarea distribution;
wherein, the frigidity interval is a period of time when the frequency of use in a single day is less than or equal to the comparison frequency; the maintenance time node is positioned in the frigid zone, the maintenance path satisfies that two sub-areas for carrying out maintenance measures in sequence are adjacent and the sub-areas are positioned in the expansion zone of the frigid zone when the maintenance is carried out on a single sub-area;
the comparison frequency s is related to the preset frequency A, the number n of subareas and the number m of days of a history period, and the expansion section is a section which takes the frigid section as the center and has a capacity which is 3 times that of the frigid section.
Example 2: the frigid interval (10:00, 11:00) and the extended interval (9:00, 12:00).
Alternatively, the comparison frequency s=a/n/m.
Through confirming maintenance time node and maintenance route, avoided the higher period of frequency of use, and avoided the trade influence because of maintaining to the route of maintaining, and improved maintenance efficiency, further improved the accuracy of maintaining the node.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing is merely a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. The intelligent maintenance and decision support method suitable for the commercial refrigerator is characterized by comprising the following steps of:
determining the maintenance grade of each refrigerator according to the running power of a plurality of refrigerators in a preset area in a history period;
determining a corresponding monitoring mode according to the maintenance level and the use data of each refrigerator;
each refrigerator operates in a test period in a corresponding monitoring mode, and a corresponding monitoring result is obtained;
determining a monomer maintenance period corresponding to each refrigerator according to the monitoring result;
determining a plurality of local maintenance periods and a plurality of overall maintenance periods according to the single maintenance period and the position distribution;
outputting the single maintenance period, the local maintenance period and the whole maintenance period of each refrigerator to a maintenance main body for decision support;
the use data comprise use frequency, door opening time length and an opening angle, the monitoring modes comprise a first monitoring mode for detecting frosting degree through the change of light receiving quantity of the photosensitive paste and a second monitoring mode for monitoring sound waves sent by a compressor of the refrigerator through a sound wave collector, wherein the photosensitive paste is adhered to the inner surface of the refrigerator;
the maintenance level comprises a first maintenance level, a second maintenance level and a third maintenance level;
wherein, the first maintenance grade meets the condition that the refrigerator is indoor; the second maintenance level meets the condition that the refrigerator is outdoor and the running power is smaller than or equal to the preset power; the third protection level meets the condition that the refrigerator is outdoor and the running power is larger than the preset power;
in the test period, aiming at a plurality of refrigerators of the second protection level and the third protection level, monitoring the refrigerator with the use frequency being greater than a preset frequency in the first monitoring mode, and monitoring the refrigerator with the use frequency being less than or equal to the preset frequency and in the third protection level in the second monitoring mode;
setting a preset door opening time length according to the refrigerating temperature and the volume of the refrigerator aiming at the refrigerator with the first maintenance grade, carrying out frosting characteristic marking when the door opening time length of the refrigerator is detected to be longer than the preset door opening time length and the opening angle is larger than the preset angle,
if the number of the frosting characteristic marks of the refrigerator is larger than a preset magnitude, monitoring the refrigerator in the first monitoring mode in the test period;
if the number of the frosting characteristic marks of the refrigerator is smaller than or equal to a preset magnitude, the running power is larger than the preset power, the using frequency is larger than the preset frequency, and the refrigerator is monitored in the second monitoring mode in the test period;
wherein the preset door opening time length is positively correlated with the refrigerating temperature and negatively correlated with the volume;
monitoring a plurality of refrigerators which do not adopt the first monitoring mode and the second monitoring mode by adopting a third monitoring mode;
the third monitoring mode is to acquire the temperature of the refrigerator and analyze the temperature fluctuation degree in the test period;
the monitoring results are respectively the frosting degree of the photosensitive paste, the frequency fluctuation amount of the sound wave acquired by the sound wave acquisition device and the temperature fluctuation degree of different refrigerators;
wherein the monomer maintenance period is inversely related to the frosting degree, the frequency fluctuation amount and the temperature fluctuation degree, and the frosting degree is the ratio of the frosting area of the photosensitive paste to the total area;
the determining process of the local maintenance period comprises the following steps;
dividing the preset area into a plurality of subareas according to the position distribution;
taking the least common multiple of a plurality of corresponding monomer maintenance periods of a plurality of refrigerators in a single subarea as a local maintenance period of the subarea;
the overall maintenance period is the least common multiple of the local maintenance period of each subarea.
2. The intelligent maintenance and decision support method for a commercial refrigerator according to claim 1, wherein maintenance measures corresponding to the single maintenance period, the local maintenance period and the overall maintenance period are different.
3. The intelligent maintenance and decision support method for a commercial refrigerator according to claim 2, further comprising determining maintenance time nodes of maintenance measures corresponding to the overall maintenance period according to the frigidity intervals of the sub-areas after determining the overall maintenance period, and determining maintenance paths of the maintenance measures corresponding to the overall maintenance period according to the distribution of the sub-areas;
wherein, the frigidity interval is a period of time when the frequency of use in a single day is less than or equal to the comparison frequency; the maintenance time node is positioned in the frigid zone, and the maintenance path satisfies that two sub-areas for sequentially carrying out maintenance measures are adjacent and the sub-areas are positioned in an expansion zone of the frigid zone when the maintenance is carried out on a single sub-area; wherein the comparison frequency is related to the preset frequency, the number of sub-regions and the number of days of the history period, and the expansion section is a section centered on the frigid section and having a capacity 3 times that of the frigid section.
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