CN116222141A - Refrigeration equilibrium degree detection system and method for refrigeration equipment - Google Patents

Refrigeration equilibrium degree detection system and method for refrigeration equipment Download PDF

Info

Publication number
CN116222141A
CN116222141A CN202310510831.2A CN202310510831A CN116222141A CN 116222141 A CN116222141 A CN 116222141A CN 202310510831 A CN202310510831 A CN 202310510831A CN 116222141 A CN116222141 A CN 116222141A
Authority
CN
China
Prior art keywords
temperature
refrigeration
area
equipment
test
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310510831.2A
Other languages
Chinese (zh)
Other versions
CN116222141B (en
Inventor
孙研
陈涛
张学东
王万强
李华
高祥春
徐中鲜
丰战
田和芝
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Shangwei Medical Supplies Co ltd
Original Assignee
Shandong Shangwei Medical Supplies Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong Shangwei Medical Supplies Co ltd filed Critical Shandong Shangwei Medical Supplies Co ltd
Priority to CN202310510831.2A priority Critical patent/CN116222141B/en
Publication of CN116222141A publication Critical patent/CN116222141A/en
Application granted granted Critical
Publication of CN116222141B publication Critical patent/CN116222141B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • F25D29/005—Mounting of control devices
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/002—Thermal testing
    • 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
    • F25D2700/00—Means for sensing or measuring; Sensors therefor
    • F25D2700/12—Sensors measuring the inside temperature

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Devices That Are Associated With Refrigeration Equipment (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

The invention discloses a refrigeration balance degree detection system and a method of refrigeration equipment, which belong to the technical field of detection systems and comprise a refrigeration assembly, wherein the refrigeration assembly consists of a plurality of independently controlled equipment bodies; the data acquisition assembly is composed of a plurality of temperature sensors and is used for acquiring the temperature of a detection area; the data analysis module is used for analyzing the acquired temperature and generating a regulation strategy; and the control module is used for controlling and adjusting the corresponding equipment body according to the regulation strategy. According to the invention, temperature changes in each test area are collected through the temperature sensor, and the historical data and the real-time data of the equipment body in initial use are combined for analysis, so that whether the working effects of the equipment in each test area are consistent or not is detected, and the corresponding equipment is regulated according to the analysis result, so that the temperature in the test area is ensured to be at a certain temperature, and the uniformity of the working effects is ensured to be consistent.

Description

Refrigeration equilibrium degree detection system and method for refrigeration equipment
Technical Field
The invention belongs to the technical field of detection systems, and particularly relates to a refrigeration balance degree detection system and method of refrigeration equipment.
Background
The working condition of the equipment is likely to change along with the increase of the service life, when a plurality of equipment is adopted to work a certain project at the same time, the uniformity of the working effects of all the equipment is required to be ensured to be consistent, but the working condition of the equipment is also deviated due to the different aging degrees of different equipment, so that the uniformity of the working effects of the equipment is inconsistent, and the project with certain combined action is easily influenced, so that the project is adversely affected; and when some equipment has problems, workers cannot find the problems in time, so that the influence cannot be reduced to the minimum in time.
Disclosure of Invention
The present invention is directed to a system and a method for detecting the refrigeration balance of a refrigeration device, which are used for solving the problems in the prior art.
The aim of the invention can be achieved by the following technical scheme:
a refrigeration balance detection system for a refrigeration appliance, the system comprising:
the working assembly consists of a plurality of independently controlled equipment bodies;
the data acquisition assembly is composed of a plurality of temperature sensors and is used for acquiring the temperature of a detection area;
the data analysis module is used for analyzing the acquired temperature and generating a regulation strategy according to an analysis result;
and the control module is used for controlling and adjusting the corresponding equipment body according to the regulation strategy.
Further, the working method of the data analysis module is as follows:
the working method of the data analysis module is as follows:
dividing the detection area into a plurality of test areas according to the position of the equipment body, wherein a temperature sensor is arranged in each test area;
acquiring temperature changes in each test area through a temperature sensor so as to determine an adjustment strategy;
and adjusting the corresponding equipment body according to the obtained adjustment strategy.
Further, the method for acquiring the adjustment strategy comprises the following steps:
by the formula
Figure SMS_1
+k/>
Figure SMS_2
Calculating the deviation value of the ith area +.>
Figure SMS_3
, wherein />
Figure SMS_4
For the historical temperature profile of the ith test zone, in terms of time, +.>
Figure SMS_5
As a point in time of the initiation,
Figure SMS_6
k is a weight coefficient for detecting a time point;
the obtained deviation value
Figure SMS_7
Threshold value preset for the system->
Figure SMS_8
、/>
Figure SMS_9
Comparing; />
If it is
Figure SMS_10
∈/>
Figure SMS_11
No adjustment is performed;
if it is
Figure SMS_12
∈/>
Figure SMS_13
Or->
Figure SMS_14
∈/>
Figure SMS_15
And adjusting.
Further, the adjusting method comprises the following steps:
when (when)
Figure SMS_16
∈/>
Figure SMS_17
When, by the formula->
Figure SMS_18
=/>
Figure SMS_19
Find the power increase value +.>
Figure SMS_20
The output power of the equipment body is increased;
when (when)
Figure SMS_21
∈/>
Figure SMS_22
When, by the formula->
Figure SMS_23
=/>
Figure SMS_24
Find the power reduction value +.>
Figure SMS_25
The output power of the equipment body is reduced;
wherein ,
Figure SMS_27
for the current power increase, +.>
Figure SMS_31
For the current power reduction, +.>
Figure SMS_33
For the conversion factor +.>
Figure SMS_28
For the distance of the temperature sensor in the ith test zone from the device body, +.>
Figure SMS_30
For the area of the ith test area, +.>
Figure SMS_32
Distance parameter value is preset for standard, +.>
Figure SMS_34
Area parameter values are preset for standard +.>
Figure SMS_26
and />
Figure SMS_29
For the respective compensation coefficients.
Further, the system also comprises a monitoring module, wherein the monitoring module is used for analyzing the acquired temperature so as to generate early warning according to an analysis result.
Further, the monitoring method of the monitoring module comprises the following steps:
by the formula
Figure SMS_36
=/>
Figure SMS_39
-/>
Figure SMS_41
Obtaining the historical temperature difference value +.>
Figure SMS_37
, wherein />
Figure SMS_38
For the ith test area +.>
Figure SMS_40
Temperature at time->
Figure SMS_42
For the ith test area +.>
Figure SMS_35
Temperature at that time;
by the formula
Figure SMS_43
=/>
Figure SMS_44
Calculating an average temperature difference value in the whole test area;
acquiring the positions of the test areas
Figure SMS_45
Temperature at time point->
Figure SMS_46
Acquiring the test areas at->
Figure SMS_47
Temperature at time point
Figure SMS_48
Thereby obtaining the test difference +.>
Figure SMS_49
=/>
Figure SMS_50
-/>
Figure SMS_51
；
By the formula
Figure SMS_52
=/>
Figure SMS_53
*/>
Figure SMS_54
Solving the abnormal temperature difference value in each test area>
Figure SMS_55
；
The obtained abnormal value of the temperature difference
Figure SMS_56
Threshold value preset for the system->
Figure SMS_57
、/>
Figure SMS_58
Comparison is performed:
when (when)
Figure SMS_59
∈/>
Figure SMS_60
When the method is used, no early warning is generated;
when (when)
Figure SMS_61
∈/>
Figure SMS_62
Generating a first-level early warning;
when (when)
Figure SMS_63
∈/>
Figure SMS_64
And generating a second-level early warning.
Further, the primary early warning and the secondary early warning are responded through an alarm arranged on the equipment body, and the response time of the secondary early warning is longer than that of the primary early warning.
The equipment working effect balance degree detection method adopts the refrigeration balance degree detection system of the refrigeration equipment for detection.
The invention has the beneficial effects that:
according to the invention, temperature changes in each test area are collected through the temperature sensor, and the temperature in each area is analyzed through the data analysis module in combination with the historical data and the real-time data of the equipment body in initial use, so that whether the working effect of the equipment in each test area is consistent or not is detected, when the working effect is inconsistent, a regulation strategy is generated according to the analysis result, the corresponding equipment body is regulated through the control module, so that the temperature in the test area is regulated in time, the temperature in the test area is ensured to be at a certain temperature, the balance of the working effect is ensured to be consistent, and the influence is reduced.
The invention also analyzes the collected temperature through the monitoring module so as to judge whether the equipment body in each test area is damaged or failed, and when the damage or failure occurs, the corresponding early warning is generated according to the obtained abnormal temperature difference value, so that the working personnel can find and know the running condition of the equipment in time.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In one embodiment, as shown in fig. 1, a refrigeration balance detection system of a refrigeration appliance is disclosed, the system comprising:
the working assembly consists of a plurality of independently controlled equipment bodies;
the data acquisition assembly consists of a plurality of temperature sensors and is used for acquiring the temperature of a detection area;
the data analysis module is used for analyzing the acquired temperature and generating a regulation strategy according to an analysis result;
and the control module is used for controlling and adjusting the corresponding equipment body according to the regulation strategy.
Through the technical scheme, the refrigeration balance degree detection system of the refrigeration equipment can be used for detecting whether the refrigeration effect balance of equipment in a large-scale refrigeration house is consistent or not, specifically, temperature changes in all test areas are collected through the temperature sensor, and temperatures in all the areas are analyzed through the data analysis module by combining historical data and real-time data, so that whether the refrigeration effect of equipment bodies in all the test areas is consistent or not is judged, when the refrigeration effect is inconsistent, a regulation strategy is generated according to the analysis result, the corresponding equipment bodies are regulated through the control module, the refrigeration effect in the refrigeration house is kept consistent in time, the quality of frozen products is guaranteed, and the influence is reduced.
As an implementation mode of the scheme, the working method of the data analysis module is as follows:
dividing the detection area into a plurality of test areas according to the position of the equipment body, wherein a temperature sensor is arranged in each test area;
acquiring temperature changes in each test area through a temperature sensor so as to determine an adjustment strategy;
and adjusting the corresponding equipment body according to the obtained adjustment strategy.
Through the technical scheme, the test areas are determined according to the positions of the equipment bodies, the inside of the refrigeration house can be divided into a plurality of test areas to conveniently detect the refrigeration balance of equipment in the refrigeration house, the temperature sensor is used for acquiring temperature changes in the test areas, the temperature changes comprise historical temperatures during initial use of the equipment and real-time temperature data, comprehensive analysis is carried out according to the data to judge whether the refrigeration balance deviation exists or not, so that corresponding adjustment strategies are generated to control the equipment corresponding to the test areas, and response adjustment is carried out on the equipment.
As an implementation manner of the present solution, the method for adjusting policy acquisition is:
by the formula
Figure SMS_65
+k/>
Figure SMS_66
Calculating the deviation value of the ith area +.>
Figure SMS_67
, wherein />
Figure SMS_68
For the historical temperature profile of the ith test zone, in terms of time, +.>
Figure SMS_69
For the initial point in time of refrigeration, +.>
Figure SMS_70
K is a weight coefficient for detecting a time point;
the obtained deviation value
Figure SMS_71
Threshold value preset for the system->
Figure SMS_72
、/>
Figure SMS_73
Comparing;
if it is
Figure SMS_74
∈/>
Figure SMS_75
No adjustment is performed;
if it is
Figure SMS_76
∈/>
Figure SMS_77
Or->
Figure SMS_78
∈/>
Figure SMS_79
And adjusting.
Through the technical scheme, the method provides the specific steps of acquiring the adjustment strategy by the system, and the method comprises the following steps of firstly passing through a formula
Figure SMS_88
Judging the difference value between the whole temperature conditions of one test area and all the test areas in the refrigerator under the same time period when the equipment is used in the initial stage, and then passing through the formula k ∈ ->
Figure SMS_82
Judging +.>
Figure SMS_94
The difference between the temperature in the test area and the temperature in all the test areas in the refrigerator is then calculated by the formula +.>
Figure SMS_81
+k/>
Figure SMS_89
Calculating the deviation value of the ith area according to the history data of the initial use of the equipment and combining the real-time data>
Figure SMS_83
In the deviation value to be obtained->
Figure SMS_90
Threshold value preset for the system->
Figure SMS_85
、/>
Figure SMS_93
Comparing, and because of the need of ensuring the balance of the refrigerating effect in the whole refrigeration house, all the preset thresholds of the system
Figure SMS_80
、/>
Figure SMS_91
Fix, when->
Figure SMS_87
∈/>
Figure SMS_95
The refrigerating temperature of the test area can be proved to be almost the same as the whole refrigerating temperature of the system, and the test area belongs to the normal error without adjustment when +.>
Figure SMS_86
∈/>
Figure SMS_96
Or->
Figure SMS_84
∈/>
Figure SMS_92
The test area shows that the refrigerating temperature and the refrigerating stability of the whole system are greatly changed, the refrigerating balance is poor, and the corresponding equipment body is required to be adjusted. The adjustment strategy can be obtained to judge the adjustment of the next step of equipment, so that the refrigeration effect in the whole freezing warehouse is balanced, and the influence is reduced.
In the above technical solution, since the overall refrigeration effect does not change greatly in a period of time in the initial use period of each equipment body, the history temperature changes with time
Figure SMS_97
Fitting according to the data corresponding results of multiple time points within the period of time, and autonomously setting the weight coefficient k and the threshold value preset by the system>
Figure SMS_98
、/>
Figure SMS_99
The acquisition can be performed based on the relevant history data in the big data, not described too much here, the detection time point +.>
Figure SMS_100
Autonomous setting can be performed according to human beings.
As an embodiment of the present invention, the adjustment method is as follows:
when (when)
Figure SMS_101
∈/>
Figure SMS_102
When, by the formula->
Figure SMS_103
=/>
Figure SMS_104
Find the power increase value +.>
Figure SMS_105
The output power of the equipment body is increased;
when (when)
Figure SMS_106
∈/>
Figure SMS_107
When, by the formula->
Figure SMS_108
=/>
Figure SMS_109
Find the power reduction value +.>
Figure SMS_110
The output power of the equipment body is reduced;
wherein ,
Figure SMS_112
for the current power increase, +.>
Figure SMS_116
For the current power reduction, +.>
Figure SMS_118
For the conversion factor +.>
Figure SMS_113
For the distance of the temperature sensor in the ith test zone from the device body, +.>
Figure SMS_114
For the area of the ith test area, +.>
Figure SMS_117
Distance parameter value is preset for standard, +.>
Figure SMS_119
Area parameter values are preset for standard +.>
Figure SMS_111
and />
Figure SMS_115
For the respective compensation coefficients.
Through the technical scheme, the scheme provides a specific adjusting method, when
Figure SMS_121
∈/>
Figure SMS_126
In this case, it is explained that the refrigerating effect of the detection area is relatively slow, the refrigerating effect can be achieved by +.>
Figure SMS_129
=/>
Figure SMS_122
Find the power increase value +.>
Figure SMS_125
The output power of the equipment body is increased, and the refrigerating effect is possibly related to the position of the current temperature sensor from the equipment body or the area of the test area where the equipment body is positioned, so that the distance between each temperature sensor and the equipment body is obtained, and the dividing area of each test area is increased by>
Figure SMS_128
=/>
Figure SMS_130
The power to be increased can be accurately obtained, so that the output power of the equipment body in the test area is increased, and the refrigerating effect of the equipment body is improved; likewise when->
Figure SMS_120
∈
Figure SMS_124
When the refrigerating effect of the detection area is too fast, the formula is adopted +.>
Figure SMS_127
=/>
Figure SMS_131
Find the power reduction value +.>
Figure SMS_123
The output power of the equipment body is reduced, and the refrigeration effect of the equipment is correspondingly reduced. For example, in refrigeration of a refrigeration house, the temperature in the refrigeration house is at-10 ℃, when the temperature of a detection area detected by a system is at-8 ℃ at a certain stage, the temperature is inconsistent with a preset temperature, the balance is deviated, and at the moment, the current power output is increased on the basis of the original power through a formula, so that the temperature is reduced, and the balance is restored. Therefore, the whole freezing warehouse can be at a relatively uniform temperature, so that the balance of the working effects of all the equipment can be consistent, the temperature can be adjusted in time, and the influence on frozen products is reduced.
In the technical proposal, the conversion coefficient
Figure SMS_132
Standard preset distance parameter ∈ ->
Figure SMS_133
Standard preset area parameter ∈ ->
Figure SMS_134
Compensation coefficient->
Figure SMS_135
、/>
Figure SMS_136
All can be according to the history data of the related scene in the big dataThe acquisition is performed without further description herein.
As an implementation mode of the scheme, the system further comprises a monitoring module, wherein the monitoring module is used for analyzing the acquired temperature, so that early warning is generated according to an analysis result.
Through the technical scheme, the collected temperature is analyzed through the monitoring module, whether the equipment body is damaged or fails is judged, so that corresponding early warning is generated, workers can find the equipment in time, and loss is reduced.
As an implementation manner of the present solution, the monitoring method of the monitoring module is:
by the formula
Figure SMS_139
=/>
Figure SMS_140
-/>
Figure SMS_142
Obtaining the historical temperature difference value +.>
Figure SMS_138
, wherein />
Figure SMS_141
For the ith test area +.>
Figure SMS_143
Temperature at time->
Figure SMS_144
For the ith test area +.>
Figure SMS_137
Temperature at that time;
by the formula
Figure SMS_145
=/>
Figure SMS_146
Calculating an average temperature difference value in the whole test area;
acquiring the positions of the test areas
Figure SMS_147
Temperature at time point->
Figure SMS_148
Acquiring the test areas at->
Figure SMS_149
Temperature at time point
Figure SMS_150
Thereby obtaining the test difference +.>
Figure SMS_151
=/>
Figure SMS_152
-/>
Figure SMS_153
；
By the formula
Figure SMS_154
=/>
Figure SMS_155
*/>
Figure SMS_156
Solving the abnormal temperature difference value in each test area>
Figure SMS_157
；
The obtained abnormal value of the temperature difference
Figure SMS_158
Threshold value preset for the system->
Figure SMS_159
、/>
Figure SMS_160
Comparison is performed:
when (when)
Figure SMS_161
∈/>
Figure SMS_162
When the method is used, no early warning is generated;
when (when)
Figure SMS_163
∈/>
Figure SMS_164
Generating a first-level early warning;
when (when)
Figure SMS_165
∈/>
Figure SMS_166
And generating a second-level early warning.
By the technical scheme, the history time is the same as that of the above, and the accuracy of average data can be ensured according to the history data activity of the equipment in initial use, and the average value firstly passes through the formula
Figure SMS_169
=/>
Figure SMS_170
-/>
Figure SMS_183
Obtaining the historical temperature difference value +.>
Figure SMS_174
In the formula->
Figure SMS_181
=/>
Figure SMS_176
The average temperature difference value in the whole test area is obtained by obtaining the averageThe difference value can judge the whole temperature difference of the whole area of the initial stage of the equipment, and then the whole temperature difference is calculated by the formula +.>
Figure SMS_180
=/>
Figure SMS_168
-/>
Figure SMS_182
Find the test difference of the current test area, and then pass the formula +.>
Figure SMS_167
=/>
Figure SMS_177
*/>
Figure SMS_172
Solving the abnormal temperature difference value in each test area>
Figure SMS_179
The method comprises the steps of carrying out a first treatment on the surface of the And by the formula +.>
Figure SMS_171
The temperature fluctuation of each test area in the whole refrigeration house system can be obtained, so that the difference between the temperature difference value and the average value of each area can be judged to judge the stability of the whole refrigeration house system, and the whole formula can show that when the test difference value +.>
Figure SMS_184
The greater the variation, the greater the temperature difference abnormality>
Figure SMS_173
The smaller the device operation condition is, the better when the difference is tested +>
Figure SMS_178
The smaller the variation is, the greater the temperature difference abnormality>
Figure SMS_175
The larger the plant operating conditionsPoor, a malfunction may occur. Therefore, the running condition of the equipment can be accurately judged by judging the temperature difference value, and corresponding early warning is produced to remind workers of timely finding out the abnormal condition of the equipment, so that the equipment is damaged.
As an implementation mode of the scheme, the primary early warning and the secondary early warning are responded through an alarm arranged on the equipment body, and the response time of the secondary early warning is longer than that of the primary early warning.
Through the technical scheme, the alarm is used for responding to generate sound information to remind workers, the sound duration can show the severity of early warning, when the sound is short, the fault can be considered to be smaller, the primary early warning response is generated, when the sound is long, the fault can be considered to be larger, the secondary early warning is generated, and therefore the workers can know the situation in time conveniently.
A method for detecting the refrigeration effect balance of an equipment body is provided, and the control method adopts the refrigeration effect balance detection system of the equipment body for detection.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.

Claims (8)

1. A refrigeration balance detection system for a refrigeration appliance, the system comprising:
the working assembly consists of a plurality of independently controlled equipment bodies;
the data acquisition assembly is composed of a plurality of temperature sensors and is used for acquiring the temperature of a detection area;
the data analysis module is used for analyzing the acquired temperature and generating a regulation strategy according to an analysis result;
and the control module is used for controlling and adjusting the corresponding equipment body according to the regulation strategy.
2. The refrigeration equalization detecting system of a refrigeration appliance according to claim 1, wherein the data analysis module operates by:
dividing the detection area into a plurality of test areas according to the position of the equipment body, wherein a temperature sensor is arranged in each test area;
acquiring temperature changes in each test area through a temperature sensor so as to determine an adjustment strategy;
and adjusting the corresponding equipment body according to the obtained adjustment strategy.
3. The refrigeration balance detecting system of claim 2, wherein the adjustment strategy obtaining method is as follows:
by the formula
Figure QLYQS_1
+k/>
Figure QLYQS_2
Calculating the deviation value of the ith area +.>
Figure QLYQS_3
, wherein />
Figure QLYQS_4
For the historical temperature profile of the ith test zone, in terms of time, +.>
Figure QLYQS_5
For the initial time point, +.>
Figure QLYQS_6
K is a weight coefficient for detecting a time point;
the obtained deviation value
Figure QLYQS_7
Threshold value preset for the system->
Figure QLYQS_8
、/>
Figure QLYQS_9
Comparing;
if it is
Figure QLYQS_10
∈/>
Figure QLYQS_11
No adjustment is performed;
if it is
Figure QLYQS_12
∈/>
Figure QLYQS_13
Or->
Figure QLYQS_14
∈/>
Figure QLYQS_15
And adjusting.
4. A refrigeration balance detection system of a refrigeration appliance according to claim 3, wherein said adjustment method is:
when (when)
Figure QLYQS_16
∈/>
Figure QLYQS_17
When, by the formula->
Figure QLYQS_18
=/>
Figure QLYQS_19
Find the power increase value +.>
Figure QLYQS_20
The output power of the equipment body is increased;
when (when)
Figure QLYQS_21
∈/>
Figure QLYQS_22
When, by the formula->
Figure QLYQS_23
=/>
Figure QLYQS_24
Find the power reduction value +.>
Figure QLYQS_25
The output power of the equipment body is reduced;
wherein ,
Figure QLYQS_27
for the current power increase, +.>
Figure QLYQS_30
For the current power reduction, +.>
Figure QLYQS_32
For the conversion factor +.>
Figure QLYQS_28
For the distance of the temperature sensor in the ith test zone from the device body, +.>
Figure QLYQS_31
For the area of the ith test area, +.>
Figure QLYQS_33
Distance parameter value is preset for standard, +.>
Figure QLYQS_34
Area parameter values are preset for standard +.>
Figure QLYQS_26
and />
Figure QLYQS_29
For the respective compensation coefficients.
5. The refrigeration chiller apparatus refrigeration balance detection system of claim 4 further comprising a monitoring module for analyzing the collected temperature to generate an early warning based on the analysis.
6. The refrigeration balance detection system of claim 5, wherein the monitoring module monitors:
by the formula
Figure QLYQS_36
=/>
Figure QLYQS_38
-/>
Figure QLYQS_40
Obtaining the historical temperature difference value +.>
Figure QLYQS_37
, wherein />
Figure QLYQS_39
For the ith test area +.>
Figure QLYQS_41
Temperature at time->
Figure QLYQS_42
For the ith test area +.>
Figure QLYQS_35
Temperature at that time;
by the formula
Figure QLYQS_43
=/>
Figure QLYQS_44
Calculating an average temperature difference value in the whole test area;
acquiring the positions of the test areas
Figure QLYQS_45
Temperature at time point->
Figure QLYQS_46
Acquiring the test areas at->
Figure QLYQS_47
Temperature at time point->
Figure QLYQS_48
Thereby obtaining the test difference +.>
Figure QLYQS_49
=/>
Figure QLYQS_50
-/>
Figure QLYQS_51
；
By the formula
Figure QLYQS_52
=/>
Figure QLYQS_53
*/>
Figure QLYQS_54
Solving the abnormal temperature difference value in each test area>
Figure QLYQS_55
；
The obtained abnormal value of the temperature difference
Figure QLYQS_56
Threshold value preset for the system->
Figure QLYQS_57
、/>
Figure QLYQS_58
Comparison is performed:
when (when)
Figure QLYQS_59
∈/>
Figure QLYQS_60
When the method is used, no early warning is generated;
when (when)
Figure QLYQS_61
∈/>
Figure QLYQS_62
Generating a first-level early warning;
when (when)
Figure QLYQS_63
∈/>
Figure QLYQS_64
And generating a second-level early warning.
7. The refrigeration balance detection system of claim 6, wherein the primary pre-warning and the secondary pre-warning are both responded by an alarm installed on the device body, and the response time of the secondary pre-warning is longer than the response time of the primary pre-warning.
8. A refrigeration balance detecting method of a refrigeration device, characterized in that the control method adopts the refrigeration balance detecting system of the refrigeration device according to any one of claims 1 to 7 for detection.
CN202310510831.2A 2023-05-09 2023-05-09 Refrigeration equilibrium degree detection system and method for refrigeration equipment Active CN116222141B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310510831.2A CN116222141B (en) 2023-05-09 2023-05-09 Refrigeration equilibrium degree detection system and method for refrigeration equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310510831.2A CN116222141B (en) 2023-05-09 2023-05-09 Refrigeration equilibrium degree detection system and method for refrigeration equipment

Publications (2)

Publication Number Publication Date
CN116222141A true CN116222141A (en) 2023-06-06
CN116222141B CN116222141B (en) 2023-07-25

Family

ID=86580941

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310510831.2A Active CN116222141B (en) 2023-05-09 2023-05-09 Refrigeration equilibrium degree detection system and method for refrigeration equipment

Country Status (1)

Country Link
CN (1) CN116222141B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117191130A (en) * 2023-09-27 2023-12-08 深圳市英博伟业科技有限公司 Multi-scene online temperature and humidity monitoring method and system
CN117193437A (en) * 2023-09-12 2023-12-08 蒙阴县祥瑞苗木种植专业合作社 Forestry seedling cultivation system and method

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2960732A1 (en) * 2014-06-25 2015-12-30 Leadot Innovation, Inc. Method for controlling a control system for performing a starting operation before receiving a control signal
US20180106532A1 (en) * 2016-10-19 2018-04-19 Emanate Wireless, Inc. Cold Storage Health Monitoring System
KR101905007B1 (en) * 2018-06-11 2018-10-05 엘티메트릭 주식회사 A precise map making system using a datum point on a big building and a data point
CN109323377A (en) * 2018-09-30 2019-02-12 广东美的制冷设备有限公司 Air conditioner and its control method and control device
CN111336753A (en) * 2020-03-13 2020-06-26 百尔制冷(无锡)有限公司 Air outlet device of refrigeration house, refrigeration house and refrigeration control method of refrigeration house
EP3771291A1 (en) * 2019-07-22 2021-01-27 Midea Group Co., Ltd. Lighting system for a household appliance
KR20210157151A (en) * 2020-06-19 2021-12-28 삼성전자주식회사 Refrigerator and controlling method thereof
CN114935238A (en) * 2022-03-01 2022-08-23 深圳天溯计量检测股份有限公司 Intelligent monitoring and calibrating system for refrigerator temperature acquisition
CN115585617A (en) * 2022-09-29 2023-01-10 青岛华博制冷空调有限公司 Local temperature control method and device for refrigeration house, electronic equipment and storage medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2960732A1 (en) * 2014-06-25 2015-12-30 Leadot Innovation, Inc. Method for controlling a control system for performing a starting operation before receiving a control signal
US20180106532A1 (en) * 2016-10-19 2018-04-19 Emanate Wireless, Inc. Cold Storage Health Monitoring System
KR101905007B1 (en) * 2018-06-11 2018-10-05 엘티메트릭 주식회사 A precise map making system using a datum point on a big building and a data point
CN109323377A (en) * 2018-09-30 2019-02-12 广东美的制冷设备有限公司 Air conditioner and its control method and control device
EP3771291A1 (en) * 2019-07-22 2021-01-27 Midea Group Co., Ltd. Lighting system for a household appliance
CN111336753A (en) * 2020-03-13 2020-06-26 百尔制冷(无锡)有限公司 Air outlet device of refrigeration house, refrigeration house and refrigeration control method of refrigeration house
KR20210157151A (en) * 2020-06-19 2021-12-28 삼성전자주식회사 Refrigerator and controlling method thereof
CN114935238A (en) * 2022-03-01 2022-08-23 深圳天溯计量检测股份有限公司 Intelligent monitoring and calibrating system for refrigerator temperature acquisition
CN115585617A (en) * 2022-09-29 2023-01-10 青岛华博制冷空调有限公司 Local temperature control method and device for refrigeration house, electronic equipment and storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117193437A (en) * 2023-09-12 2023-12-08 蒙阴县祥瑞苗木种植专业合作社 Forestry seedling cultivation system and method
CN117193437B (en) * 2023-09-12 2024-03-08 蒙阴县祥瑞苗木种植专业合作社 Forestry seedling cultivation system and method
CN117191130A (en) * 2023-09-27 2023-12-08 深圳市英博伟业科技有限公司 Multi-scene online temperature and humidity monitoring method and system

Also Published As

Publication number Publication date
CN116222141B (en) 2023-07-25

Similar Documents

Publication Publication Date Title
CN116222141B (en) Refrigeration equilibrium degree detection system and method for refrigeration equipment
EP1650616B1 (en) System and method for sensor validation and fusion
US10324424B2 (en) Control system with response time estimation and automatic operating parameter adjustment
Ji et al. Prognostics enabled resilient control for model-based building automation systems
KR101573296B1 (en) Prediction method of abnormal data, and a computer-readable storege medium having program to perform the same
BR112021013786A2 (en) METHOD AND SYSTEM TO DETECT ANOMALIES OR PREMATURE INDICATIONS OF EQUIPMENT FAILURE
CN116069079B (en) Intelligent heat dissipation control method and system for intelligent switch cabinet
CN116722249A (en) Battery thermal runaway early warning protection system and protection method thereof
AU2015283585A1 (en) Predictive maintenance and inferring patterns of solar panel cleaning systems
CN113074833A (en) Machine room health state early warning system and method
CN114576152B (en) Water pump state monitoring system, monitoring method and device, electronic equipment and medium
CN109690641B (en) Method and system for pre-detecting signs of abnormality in nuclear power plant equipment including process for determining equipment importance and alarm validity
CN116772285B (en) Intelligent building heating load safety real-time monitoring method
JP5328535B2 (en) Power system monitoring control system and control method
US8571832B2 (en) Approach for monitoring energy consumption and preventive maintenance of a system based on control loop efficiency
Vafeiadis et al. Robust malfunction diagnosis in process industry time series
CN112560339B (en) Method for predicting guide bearing bush temperature of hydroelectric generating set by utilizing machine learning
CN112731827B (en) Monitoring system for intelligent sensor for power equipment
CN109784127B (en) Equipment health state early warning method and system thereof
EP3252548B1 (en) Control system with response time estimation and automatic operating parameter adjustment
Taji et al. An integrated Markov chain model for the economic-statistical design of adaptive multivariate control charts and maintenance planning
CN112240267B (en) Fan monitoring method based on wind speed correlation and wind power curve
CN114935238B (en) Intelligent monitoring and calibrating system for refrigerator temperature acquisition
CN112326061A (en) Wireless temperature measurement system of power system
CN113012402A (en) Intelligent monitoring system and intelligent monitoring method for frequency converter

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant