CN114893936A - Water inlet and outlet control system and control method for ice making system - Google Patents

Water inlet and outlet control system and control method for ice making system Download PDF

Info

Publication number
CN114893936A
CN114893936A CN202210814937.7A CN202210814937A CN114893936A CN 114893936 A CN114893936 A CN 114893936A CN 202210814937 A CN202210814937 A CN 202210814937A CN 114893936 A CN114893936 A CN 114893936A
Authority
CN
China
Prior art keywords
analysis
ice making
heat exchange
temperature
value
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
CN202210814937.7A
Other languages
Chinese (zh)
Other versions
CN114893936B (en
Inventor
易辉阁
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.)
Shenzhen Brother Ice System Co ltd
Original Assignee
Shenzhen Brother Ice System 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 Shenzhen Brother Ice System Co ltd filed Critical Shenzhen Brother Ice System Co ltd
Priority to CN202210814937.7A priority Critical patent/CN114893936B/en
Publication of CN114893936A publication Critical patent/CN114893936A/en
Application granted granted Critical
Publication of CN114893936B publication Critical patent/CN114893936B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25CPRODUCING, WORKING OR HANDLING ICE
    • F25C1/00Producing ice
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25DREFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00Arrangement or mounting of control or safety devices
    • F25D29/008Alarm devices
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25DREFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2700/00Means for sensing or measuring; Sensors therefor
    • F25D2700/16Sensors measuring the temperature of products
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P60/00Technologies relating to agriculture, livestock or agroalimentary industries
    • Y02P60/80Food processing, e.g. use of renewable energies or variable speed drives in handling, conveying or stacking
    • Y02P60/85Food storage or conservation, e.g. cooling or drying

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Air Conditioning Control Device (AREA)
  • Production, Working, Storing, Or Distribution Of Ice (AREA)

Abstract

The invention belongs to the field of ice making, relates to a data processing technology, and is used for solving the problem that an existing ice making system cannot perform abnormal factor investigation when the heat exchange efficiency is abnormal, in particular to a water inlet and outlet control system and a control method of the ice making system, wherein the ice making system comprises a processor, and the processor is in communication connection with a water temperature detection module, an abnormal analysis module, a prediction module and a storage module; the water temperature detection module is used for detecting and analyzing the temperatures of a water inlet and a water outlet of the ice making system: when the ice making system works, the working time of the ice making system is divided into a plurality of analysis time intervals, and the temperature of condensed water at a water inlet is obtained in real time in the analysis time intervals; the invention can detect and analyze the temperature of the water inlet and the water outlet of the ice making system, and monitor the input temperature of the water source through the temperature detection result of the water inlet, thereby timely carrying out abnormity early warning and avoiding the influence on the normal work of the ice making system due to abnormal heat exchange.

Description

Water inlet and outlet control system and control method for ice making system
Technical Field
The invention belongs to the field of ice making, relates to a data processing technology, and particularly relates to a water inlet and outlet control system and a control method for an ice making system.
Background
When the ice maker makes ice, refrigerant is compressed into high-pressure gas by the compressor, enters the condenser, is condensed into liquid by the condenser, flows into the evaporator after being throttled by the expansion valve, is changed into low-temperature low-pressure gas after the evaporator absorbs the heat of water, is absorbed and compressed by the compressor, and the suction pressure is gradually reduced along with the formation of ice blocks.
The existing water inlet and outlet control system of the ice making system can only monitor and analyze the heat exchange efficiency according to the temperature of condensed water passing through a water inlet and outlet, but cannot check abnormal factors when the heat exchange efficiency is abnormal, cannot predict the heat exchange efficiency of the ice making system, can only take measures after the abnormality occurs, and cannot early-warn and prevent and treat the heat exchange abnormality.
In view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a water inlet and outlet control system and a control method of an ice making system, which are used for solving the problem that the conventional ice making system cannot carry out abnormal factor investigation when the heat exchange efficiency is abnormal;
the technical problems to be solved by the invention are as follows: how to provide an ice making system that can perform abnormal factor investigation when the heat exchange efficiency is abnormal.
The purpose of the invention can be realized by the following technical scheme:
the ice making system water inlet and outlet control system comprises a processor, wherein the processor is in communication connection with a water temperature detection module, an abnormality analysis module, a prediction module and a storage module;
the water temperature detection module is used for detecting and analyzing the temperatures of a water inlet and a water outlet of the ice making system: when the ice making system works, the working time of the ice making system is divided into a plurality of analysis time periods, the temperature of condensed water at the water inlet is obtained in real time in the analysis time periods, the average value of the maximum temperature value and the minimum temperature value of the condensed water at the water inlet in the analysis time periods is marked as a table entry value of the analysis time periods, a table entry set is established for the table entry values of the analysis time periods, variance calculation is carried out on the table entry set to obtain a table entry coefficient, and the table entry values of the analysis time periods are summed to obtain an average value to obtain a temperature entry coefficient;
acquiring a table entry threshold and a table entry threshold through a storage module, comparing the table entry coefficient and the table entry coefficient with the table entry threshold and the table entry threshold respectively, and judging whether the water entry temperature is qualified or not according to a comparison result; analyzing the heat exchange efficiency of the ice making system when the inlet water temperature is qualified;
the abnormality analysis module is used for detecting and analyzing the running state of the ice making equipment;
the prediction module is used for performing prediction analysis on the heat exchange efficiency of the ice making system.
As a preferred embodiment of the present invention, the specific process of determining whether the inlet water temperature is qualified includes: if the temperature coefficient is smaller than the temperature threshold and the meter entering coefficient is smaller than the meter entering threshold, judging that the water inlet temperature is qualified; otherwise, judging that the inlet water temperature is unqualified, sending an unqualified inlet temperature signal to the processor by the water temperature detection module, and sending the unqualified inlet temperature signal to the mobile phone terminal of the manager after the processor receives the unqualified inlet temperature signal.
As a preferred embodiment of the present invention, the specific process of analyzing the heat exchange efficiency of the ice making system includes: the method comprises the following steps of acquiring the temperature of condensed water at a water outlet in real time in an analysis time period, marking the average value of the maximum temperature value and the minimum temperature value of the condensed water at the water inlet in the analysis time period as a meter outlet value of the analysis time period, marking the difference value of the meter outlet value and the meter inlet value of the analysis time period as a heat exchange value, acquiring a heat exchange threshold value through a storage module, and comparing the heat exchange value with the heat exchange threshold value:
if the heat exchange value is smaller than the heat exchange threshold value, judging that the heat exchange efficiency of the ice making system does not meet the requirement, sending an abnormal analysis signal to a processor by the water temperature detection module, and sending the abnormal analysis signal to the abnormal analysis module after the processor receives the abnormal analysis signal;
if the heat exchange value is larger than or equal to the heat exchange threshold value, the heat exchange efficiency of the ice making system is judged to meet the requirement, the water temperature detection module sends a heat exchange qualified signal to the processor, and the processor receives the heat exchange qualified signal and then sends the heat exchange qualified signal to the prediction module.
As a preferred embodiment of the present invention, the specific process of the abnormality analysis module detecting and analyzing the operation state of the ice making device includes: marking the ice making equipment as an analysis object, and acquiring temperature data WD, vibration data ZD and noise data ZS of the analysis object when the ice making system works; obtaining an operation coefficient YX of an analysis object by performing numerical calculation on temperature data WD, vibration data ZD and noise data ZS of the analysis object; and acquiring an operation threshold YXmax through a storage module, comparing the operation coefficient YX of the analysis object with the operation threshold YXmax, and marking the reason of unqualified heat exchange as equipment failure or heat exchanger failure through a comparison result.
In a preferred embodiment of the present invention, the temperature data WD of the analysis target is an average value of a surface temperature value and an air temperature value of the analysis target; the vibration data ZD of the analysis object is a vibration frequency value generated when the analysis object works; the noise data ZS of the analysis target is a decibel value of noise generated when the analysis target operates.
As a preferred embodiment of the present invention, the specific process of comparing the operation coefficient YX of the analysis target with the operation threshold YXmax includes:
if the operation coefficient YX is larger than or equal to the operation threshold YXmax, judging that the operation state of the analysis object does not meet the requirement, marking the reason of unqualified heat exchange as equipment abnormity, sending an equipment maintenance signal to a processor by an abnormity analysis module, and sending the equipment maintenance signal to a mobile phone terminal of a manager after the processor receives the equipment maintenance signal;
if the operation coefficient YX is smaller than the operation threshold YXmax, the operation state of the analysis object is judged to meet the requirement, the reason why the heat exchange is unqualified is marked as the fault of the heat exchanger, the abnormity analysis module sends a heat exchanger maintenance signal to the processor, and the processor sends the heat exchanger maintenance signal to a mobile phone terminal of a manager after receiving the heat exchanger maintenance signal.
As a preferred embodiment of the present invention, the specific process of the prediction module performing prediction analysis on the heat exchange efficiency of the ice making system includes: obtaining the weighing value through a storage module, and comparing the heat exchange value in the analysis period with the weighing value:
if the heat exchange value of the analysis time interval is greater than or equal to the weighing value, marking the corresponding analysis time interval as an early warning time interval;
if the heat exchange value of the analysis time interval is smaller than the weighing value, marking the corresponding analysis time interval as a normal time interval;
and when the early warning time period of L1 times continuously occurs, judging that the prediction analysis result is unqualified, sending an abnormal analysis signal to the processor by the prediction analysis module, and sending the abnormal analysis signal to the abnormal analysis module after the processor receives the abnormal analysis signal.
The water inlet and outlet control method of the ice making system comprises the following steps:
the method comprises the following steps: the temperature detection method comprises the steps of detecting and analyzing the temperatures of a water inlet and a water outlet of the ice making system, dividing the working time of the ice making system into a plurality of analysis time intervals when the ice making system works, acquiring the temperature of condensed water at the water inlet in real time in the analysis time intervals to obtain a temperature inlet coefficient and a meter inlet coefficient of the analysis time intervals, and judging whether the temperature of the condensed water at the water inlet meets requirements or not according to the numerical values of the temperature inlet coefficient and the meter inlet coefficient. Judging whether the heat exchange efficiency meets the requirement or not when the temperature of the condensed water at the water inlet meets the requirement; step two is executed when the heat exchange efficiency does not meet the requirement; step three is executed when the heat exchange efficiency meets the requirement;
step two: then, detecting and analyzing the running state of the ice making equipment to obtain a running coefficient of the ice making equipment, and judging the reason that the heat exchange efficiency does not meet the requirement as equipment failure or heat exchanger failure according to the numerical value of the running coefficient;
step three: and performing predictive analysis on the heat exchange efficiency of the ice making system, marking the analysis time period as a normal time period or an early warning time period, judging that the predictive analysis result is unqualified when L1 early warning time periods continuously appear, and executing the step two.
The invention has the following beneficial effects:
1. the temperature of the water inlet and the water outlet of the ice making system can be detected and analyzed through the water temperature detection module, and the input temperature of a water source is monitored through the temperature detection result of the water inlet, so that the abnormal heat exchange is judged when the temperature of the water inlet is qualified and the heat exchange value does not meet the requirement, the abnormal early warning can be timely carried out, and the normal work of the ice making system is prevented from being influenced due to the abnormal heat exchange;
2. the abnormal analysis module can detect and analyze the running state of the ice making equipment and obtain a running coefficient when the heat exchange is abnormal, the running state of the ice making equipment is monitored through the running coefficient, the factors of the heat exchange abnormality are further checked, corresponding measures can be taken pertinently when the heat exchange abnormality is processed, and the abnormality processing efficiency is improved;
3. the heat exchange efficiency of the ice making system can be subjected to predictive analysis through the prediction module, trend analysis is carried out when the heat exchange efficiency of the ice making system is normal, and the probability that the heat exchange of the ice making system is unqualified is continuously increased along with the increase of working time when early warning time periods continuously appear, so that prediction early warning is timely carried out, and prevention and control are carried out before the phenomenon that the heat exchange is unqualified occurs.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Implement one
As shown in figure 1, the ice making system water inlet and outlet control system comprises a processor, wherein the processor is in communication connection with a water temperature detection module, an abnormality analysis module, a prediction module and a storage module.
The water temperature detection module is used for detecting and analyzing the temperatures of a water inlet and a water outlet of the ice making system: when the ice making system works, the working time of the ice making system is divided into a plurality of analysis periods, the temperature of condensed water at a water inlet is obtained in real time in the analysis periods, the average value of the maximum temperature value and the minimum temperature value of the condensed water at the water inlet in the analysis periods is marked as a table entry value of the analysis periods, a table entry set is established for the table entry value of the analysis periods, variance calculation is carried out on the table entry set to obtain a table entry coefficient, the table entry values of the analysis periods are summed to obtain an average value to obtain a temperature entry coefficient, a table entry threshold value and a temperature entry threshold value are obtained through a storage module, and the temperature entry coefficient and the table entry coefficient are respectively compared with the temperature entry threshold value and the table entry threshold value: if the temperature coefficient is smaller than the temperature threshold and the surface coefficient is smaller than the surface threshold, judging that the water inlet temperature is qualified, and analyzing the heat exchange efficiency of the ice making system; otherwise, judging that the inlet water temperature is unqualified, sending an unqualified inlet water temperature signal to the processor by the water temperature detection module, and sending the unqualified inlet water temperature signal to the mobile phone terminal of the manager after the processor receives the unqualified inlet water temperature signal; the specific process of analyzing the heat exchange efficiency of the ice making system includes: the method comprises the following steps of acquiring the temperature of condensed water at a water outlet in real time in an analysis time period, marking the average value of the maximum temperature value and the minimum temperature value of the condensed water at the water inlet in the analysis time period as a meter outlet value of the analysis time period, marking the difference value of the meter outlet value and the meter inlet value of the analysis time period as a heat exchange value, acquiring a heat exchange threshold value through a storage module, and comparing the heat exchange value with the heat exchange threshold value: if the heat exchange value is smaller than the heat exchange threshold value, judging that the heat exchange efficiency of the ice making system does not meet the requirement, sending an abnormal analysis signal to a processor by the water temperature detection module, and sending the abnormal analysis signal to the abnormal analysis module after the processor receives the abnormal analysis signal; if the heat exchange value is larger than or equal to the heat exchange threshold value, the heat exchange efficiency of the ice making system is judged to meet the requirement, the water temperature detection module sends a heat exchange qualified signal to the processor, and the processor receives the heat exchange qualified signal and then sends the heat exchange qualified signal to the prediction module; the temperature of the water inlet and the water outlet of the ice making system is detected and analyzed, and the water source input temperature is monitored through the temperature detection result of the water inlet, so that abnormal heat exchange is judged when the temperature of the water inlet is qualified and the heat exchange value does not meet the requirement, abnormal early warning can be timely carried out, and the normal work of the ice making system is prevented from being influenced due to the abnormal heat exchange.
The abnormity analysis module is used for detecting and analyzing the running state of the ice making equipment after receiving the unqualified heat exchange signal: marking the ice making equipment as an analysis object, and acquiring temperature data WD, vibration data ZD and noise data ZS of the analysis object when the ice making system works; the temperature data WD of the analysis object is an average value of a surface temperature value and an air temperature value of the analysis object; the vibration data ZD of the analysis object is a vibration frequency value generated when the analysis object works; the noise data ZS of the analysis object is a noise decibel value generated when the analysis object works; obtaining an operation coefficient YX of the analysis object through a formula YX = alpha 1 × WD + alpha 2 × ZD + alpha 3 × ZS, wherein the operation coefficient is a numerical value reflecting the degree of operation abnormality of the analysis object, and the larger the numerical value of the operation coefficient is, the higher the degree of operation abnormality of the analysis object is; wherein alpha 1, alpha 2 and alpha 3 are all proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 is more than 1; acquiring an operation threshold YXmax through a storage module, and comparing the operation coefficient YX of the analysis object with the operation threshold YXmax: if the operation coefficient YX is larger than or equal to the operation threshold YXmax, judging that the operation state of the analysis object does not meet the requirement, marking the reason of unqualified heat exchange as equipment abnormity, sending an equipment maintenance signal to a processor by an abnormity analysis module, and sending the equipment maintenance signal to a mobile phone terminal of a manager after the processor receives the equipment maintenance signal; if the operation coefficient YX is smaller than the operation threshold YXmax, judging that the operation state of the analysis object meets the requirement, marking the reason of unqualified heat exchange as the fault of the heat exchanger, sending a heat exchanger maintenance signal to a processor by an abnormity analysis module, and sending the heat exchanger maintenance signal to a mobile phone terminal of a manager after the processor receives the heat exchanger maintenance signal; the operation state of the ice making equipment is detected and analyzed when the heat exchange is abnormal, the operation coefficient is obtained, the operation state of the ice making equipment is monitored through the operation coefficient, the factors of the heat exchange abnormality are checked, corresponding measures can be taken pertinently when the heat exchange abnormality is processed, and the abnormality processing efficiency is improved.
The prediction module is used for performing prediction analysis on the heat exchange efficiency of the ice making system: obtaining a constant value through a storage module, wherein the constant value = t1 × heat exchange threshold, t1 is a proportionality coefficient, and t1 is more than or equal to 0.75 and less than or equal to 0.85; comparing the heat exchange value of the analysis period with the weighing value: if the heat exchange value of the analysis time interval is greater than or equal to the weighing value, marking the corresponding analysis time interval as an early warning time interval; if the heat exchange value of the analysis time interval is smaller than the weighing value, marking the corresponding analysis time interval as a normal time interval; when L1 early warning periods continuously occur, judging that the prediction analysis result is unqualified, sending an abnormity analysis signal to a processor by the prediction analysis module, and sending the abnormity analysis signal to the abnormity analysis module after the processor receives the abnormity analysis signal; the method comprises the steps of carrying out predictive analysis on the heat exchange efficiency of the ice making system, carrying out trend analysis when the heat exchange efficiency of the ice making system is normal, and indicating that the probability of unqualified heat exchange of the ice making system is continuously increased along with the increase of working time when early warning time periods continuously occur, so as to carry out predictive early warning in time and prevent and treat the unqualified heat exchange phenomenon before the occurrence.
Example two
As shown in fig. 2, the method for controlling the water inlet and outlet of the ice making system comprises the following steps:
the method comprises the following steps: detecting and analyzing the temperature of a water inlet and a water outlet of the ice making system, dividing the working time of the ice making system into a plurality of analysis time intervals when the ice making system works, acquiring the temperature of condensed water at the water inlet in real time in the analysis time intervals to obtain a temperature inlet coefficient and a meter inlet coefficient of the analysis time intervals, and judging whether the temperature of the condensed water at the water inlet meets the requirement or not according to the numerical values of the temperature inlet coefficient and the meter inlet coefficient; judging whether the heat exchange efficiency meets the requirement or not when the temperature of the condensed water at the water inlet meets the requirement; step two is executed when the heat exchange efficiency does not meet the requirement; step three is executed when the heat exchange efficiency meets the requirement;
step two: the running state of the ice making equipment is detected and analyzed to obtain the running coefficient of the ice making equipment, the reason that the heat exchange efficiency does not meet the requirement is judged to be equipment failure or heat exchanger failure according to the numerical value of the running coefficient, the factors of heat exchange abnormity are checked, corresponding measures can be taken pertinently when the heat exchange abnormity is processed, and the abnormity processing efficiency is improved;
step three: performing predictive analysis on the heat exchange efficiency of the ice making system, marking the analysis time period as a normal time period or an early warning time period, continuously increasing the probability of unqualified heat exchange of the ice making system when L1 early warning time periods continuously occur, judging that the predictive analysis result is unqualified, and executing a step two; when the number of times of continuous occurrence of early warning periods is less than L1, judging that the prediction analysis result is qualified; l1 is a constant value, and the value of L1 is set by the manager.
The water inlet and outlet control system and the control method of the ice making system are characterized in that during work, the temperature of a water inlet and a water outlet of the ice making system is detected and analyzed, during the work of the ice making system, the working time of the ice making system is divided into a plurality of analysis time intervals, the temperature of condensed water at the water inlet is obtained in real time in the analysis time intervals, the temperature inlet coefficient and the meter inlet coefficient of the analysis time intervals are obtained, and whether the temperature of the condensed water at the water inlet meets the requirement or not is judged according to the numerical values of the temperature inlet coefficient and the meter inlet coefficient; judging whether the heat exchange efficiency meets the requirement or not when the temperature of the condensed water at the water inlet meets the requirement; the running state of the ice making equipment is detected and analyzed to obtain the running coefficient of the ice making equipment, the reason that the heat exchange efficiency does not meet the requirement is judged to be equipment failure or heat exchanger failure according to the numerical value of the running coefficient, the factors of heat exchange abnormity are checked, corresponding measures can be taken pertinently when the heat exchange abnormity is processed, and the abnormity processing efficiency is improved; and (3) performing predictive analysis on the heat exchange efficiency of the ice making system, marking the analysis time period as a normal time period or an early warning time period, and when L1 early warning time periods continuously occur, continuously increasing the probability of unqualified heat exchange of the ice making system and judging that the predictive analysis result is unqualified.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula YX = α 1 × WD + α 2 × ZD + α 3 × ZS; collecting multiple groups of sample data and setting corresponding operation coefficients for each group of sample data by a person skilled in the art; substituting the set operation coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.87, 2.62 and 2.14 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding operation coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameter and the quantized value is not affected, for example, the operation coefficient is proportional to the value of the temperature data.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (8)

1. The ice making system water inlet and outlet control system comprises a processor, and is characterized in that the processor is in communication connection with a water temperature detection module, an abnormality analysis module, a prediction module and a storage module;
the water temperature detection module is used for detecting and analyzing the temperatures of a water inlet and a water outlet of the ice making system: when the ice making system works, the working time of the ice making system is divided into a plurality of analysis time periods, the temperature of condensed water at the water inlet is obtained in real time in the analysis time periods, the average value of the maximum temperature value and the minimum temperature value of the condensed water at the water inlet in the analysis time periods is marked as a table entry value of the analysis time periods, a table entry set is established for the table entry values of the analysis time periods, variance calculation is carried out on the table entry set to obtain a table entry coefficient, and the table entry values of the analysis time periods are summed to obtain an average value to obtain a temperature entry coefficient;
acquiring a table entry threshold and a table entry threshold through a storage module, comparing the table entry coefficient and the table entry coefficient with the table entry threshold and the table entry threshold respectively, and judging whether the water entry temperature is qualified or not according to a comparison result; analyzing the heat exchange efficiency of the ice making system when the inlet water temperature is qualified;
the abnormality analysis module is used for detecting and analyzing the running state of the ice making equipment;
the prediction module is used for performing prediction analysis on the heat exchange efficiency of the ice making system.
2. An ice making system water inlet and outlet control system as claimed in claim 1, wherein the specific process of determining whether the inlet water temperature is acceptable comprises: if the temperature coefficient is smaller than the temperature threshold and the meter entering coefficient is smaller than the meter entering threshold, judging that the water inlet temperature is qualified; otherwise, the water inlet temperature is judged to be unqualified, the water temperature detection module sends an unqualified temperature inlet signal to the processor, and the processor receives the unqualified temperature inlet signal and then sends the unqualified temperature inlet signal to a mobile phone terminal of a manager.
3. An ice making system water inlet and outlet control system as claimed in claim 2, wherein the specific process of analyzing the heat exchange efficiency of the ice making system comprises: the method comprises the following steps of acquiring the temperature of condensed water at a water outlet in real time in an analysis time period, marking the average value of the maximum temperature value and the minimum temperature value of the condensed water at the water inlet in the analysis time period as a meter outlet value of the analysis time period, marking the difference value of the meter outlet value and the meter inlet value of the analysis time period as a heat exchange value, acquiring a heat exchange threshold value through a storage module, and comparing the heat exchange value with the heat exchange threshold value:
if the heat exchange value is smaller than the heat exchange threshold value, judging that the heat exchange efficiency of the ice making system does not meet the requirement, sending an abnormal analysis signal to a processor by the water temperature detection module, and sending the abnormal analysis signal to the abnormal analysis module after the processor receives the abnormal analysis signal;
if the heat exchange value is larger than or equal to the heat exchange threshold value, the heat exchange efficiency of the ice making system is judged to meet the requirement, the water temperature detection module sends a heat exchange qualified signal to the processor, and the processor receives the heat exchange qualified signal and then sends the heat exchange qualified signal to the prediction module.
4. An ice making system water inlet and outlet control system as claimed in claim 3, wherein the specific process of the abnormality analysis module detecting and analyzing the operation state of the ice making equipment comprises: marking the ice making equipment as an analysis object, and acquiring temperature data WD, vibration data ZD and noise data ZS of the analysis object when the ice making system works; obtaining an operation coefficient YX of an analysis object by performing numerical calculation on temperature data WD, vibration data ZD and noise data ZS of the analysis object; and acquiring an operation threshold YXmax through a storage module, comparing the operation coefficient YX of the analysis object with the operation threshold YXmax, and marking the reason of unqualified heat exchange as equipment failure or heat exchanger failure through a comparison result.
5. An ice making system water inlet and outlet control system as claimed in claim 4, wherein the temperature data WD of the analysis object is an average value of a surface temperature value and an air temperature value of the analysis object; the vibration data ZD of the analysis object is a vibration frequency value generated when the analysis object works; the noise data ZS of the analysis target is a decibel value of noise generated when the analysis target operates.
6. An ice making system water inlet and outlet control system as claimed in claim 4, wherein the specific process of comparing the operation coefficient YX of the analysis object with the operation threshold YXmax comprises:
if the operation coefficient YX is larger than or equal to the operation threshold YXmax, judging that the operation state of the analysis object does not meet the requirement, marking the reason of unqualified heat exchange as equipment abnormity, sending an equipment maintenance signal to a processor by an abnormity analysis module, and sending the equipment maintenance signal to a mobile phone terminal of a manager after the processor receives the equipment maintenance signal;
if the operation coefficient YX is smaller than the operation threshold YXmax, the operation state of the analysis object is judged to meet the requirement, the reason why the heat exchange is unqualified is marked as the fault of the heat exchanger, the abnormity analysis module sends a heat exchanger maintenance signal to the processor, and the processor sends the heat exchanger maintenance signal to a mobile phone terminal of a manager after receiving the heat exchanger maintenance signal.
7. An ice making system water inlet and outlet control system as claimed in claim 3, wherein the specific process of predictive analysis of the heat exchange efficiency of the ice making system by the predictive module comprises: obtaining the weighing value through a storage module, and comparing the heat exchange value in the analysis period with the weighing value:
if the heat exchange value of the analysis time interval is greater than or equal to the weighing value, marking the corresponding analysis time interval as an early warning time interval;
if the heat exchange value of the analysis time interval is smaller than the weighing value, marking the corresponding analysis time interval as a normal time interval;
and when the early warning time period of L1 times continuously occurs, judging that the prediction analysis result is unqualified, sending an abnormal analysis signal to the processor by the prediction analysis module, and sending the abnormal analysis signal to the abnormal analysis module after the processor receives the abnormal analysis signal.
8. The method for controlling the water inlet and outlet of the ice making system is characterized by comprising the following steps of:
the method comprises the following steps: detecting and analyzing the temperature of a water inlet and a water outlet of the ice making system, dividing the working time of the ice making system into a plurality of analysis time intervals when the ice making system works, acquiring the temperature of condensed water at the water inlet in real time in the analysis time intervals to obtain a temperature inlet coefficient and a meter inlet coefficient of the analysis time intervals, and judging whether the temperature of the condensed water at the water inlet meets the requirement or not according to the numerical values of the temperature inlet coefficient and the meter inlet coefficient; judging whether the heat exchange efficiency meets the requirement or not when the temperature of the condensed water at the water inlet meets the requirement; step two is executed when the heat exchange efficiency does not meet the requirement; step three is executed when the heat exchange efficiency meets the requirement;
step two: detecting and analyzing the running state of the ice making equipment to obtain a running coefficient of the ice making equipment, and judging the reason that the heat exchange efficiency does not meet the requirement as equipment failure or heat exchanger failure according to the numerical value of the running coefficient;
step three: and performing predictive analysis on the heat exchange efficiency of the ice making system, marking the analysis time period as a normal time period or an early warning time period, judging that the predictive analysis result is unqualified when L1 early warning time periods continuously appear, and executing the step two.
CN202210814937.7A 2022-07-12 2022-07-12 Water inlet and outlet control system and control method for ice making system Active CN114893936B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210814937.7A CN114893936B (en) 2022-07-12 2022-07-12 Water inlet and outlet control system and control method for ice making system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210814937.7A CN114893936B (en) 2022-07-12 2022-07-12 Water inlet and outlet control system and control method for ice making system

Publications (2)

Publication Number Publication Date
CN114893936A true CN114893936A (en) 2022-08-12
CN114893936B CN114893936B (en) 2022-09-16

Family

ID=82729724

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210814937.7A Active CN114893936B (en) 2022-07-12 2022-07-12 Water inlet and outlet control system and control method for ice making system

Country Status (1)

Country Link
CN (1) CN114893936B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115204426A (en) * 2022-09-14 2022-10-18 山东汇泓纺织科技有限公司 Textile production line operation supervision system based on Internet of things
CN115544736A (en) * 2022-09-15 2022-12-30 宏明科技集团有限公司 Cooling tower control system and method
CN116242197A (en) * 2023-05-12 2023-06-09 浙江弗尔德驱动科技有限公司 Permanent magnet semi-direct-drive motor special for cooling tower

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0595616A (en) * 1991-05-24 1993-04-16 Tokyo Electric Power Co Inc:The Monitoring apparatus for capacity deterioration of underground transmission-cooling refrigerating machine
JP2004143747A (en) * 2002-10-23 2004-05-20 Matsushita Electric Ind Co Ltd Sanitary washing device
JP2004293949A (en) * 2003-03-27 2004-10-21 Takasago Thermal Eng Co Ltd Freeze detection method of ice maker and ice maker
WO2006033141A1 (en) * 2004-09-22 2006-03-30 Takasago Thermal Engineering Co., Ltd. Freezing detection method for ice making apparatus and ice making apparatus
CN201638061U (en) * 2010-01-29 2010-11-17 深圳市兄弟制冰系统有限公司 Intelligent ice making system
CN105241018A (en) * 2015-10-28 2016-01-13 青岛海尔空调器有限总公司 Heat exchange fault detection method and device for dehumidification device
EP2980506A1 (en) * 2014-08-01 2016-02-03 Rinnai Corporation Hot water supply device
CN105352238A (en) * 2015-11-18 2016-02-24 珠海格力电器股份有限公司 Heat pump evaporator heat exchange abnormity judgment method, heat pump evaporator and water heater
CN105745504A (en) * 2013-11-28 2016-07-06 能泰有限公司 Heat exchanger fault diagnostic
EP3489781A1 (en) * 2017-11-24 2019-05-29 Simon Dooley System and method for monitoring a central heating system
CN110657552A (en) * 2019-09-04 2020-01-07 特灵空调系统(中国)有限公司 Fault detection method, heat exchange system and computer readable storage medium
CN113108842A (en) * 2021-04-16 2021-07-13 中国石油大学(北京) Heat exchanger multi-parameter association monitoring and early warning method and system
US20220057128A1 (en) * 2020-08-18 2022-02-24 Daeyeong E&B Co., Ltd. Method of controlling ice-detaching temperature of icemaker

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0595616A (en) * 1991-05-24 1993-04-16 Tokyo Electric Power Co Inc:The Monitoring apparatus for capacity deterioration of underground transmission-cooling refrigerating machine
JP2004143747A (en) * 2002-10-23 2004-05-20 Matsushita Electric Ind Co Ltd Sanitary washing device
JP2004293949A (en) * 2003-03-27 2004-10-21 Takasago Thermal Eng Co Ltd Freeze detection method of ice maker and ice maker
WO2006033141A1 (en) * 2004-09-22 2006-03-30 Takasago Thermal Engineering Co., Ltd. Freezing detection method for ice making apparatus and ice making apparatus
CN201638061U (en) * 2010-01-29 2010-11-17 深圳市兄弟制冰系统有限公司 Intelligent ice making system
CN105745504A (en) * 2013-11-28 2016-07-06 能泰有限公司 Heat exchanger fault diagnostic
EP2980506A1 (en) * 2014-08-01 2016-02-03 Rinnai Corporation Hot water supply device
CN105241018A (en) * 2015-10-28 2016-01-13 青岛海尔空调器有限总公司 Heat exchange fault detection method and device for dehumidification device
CN105352238A (en) * 2015-11-18 2016-02-24 珠海格力电器股份有限公司 Heat pump evaporator heat exchange abnormity judgment method, heat pump evaporator and water heater
EP3489781A1 (en) * 2017-11-24 2019-05-29 Simon Dooley System and method for monitoring a central heating system
CN110657552A (en) * 2019-09-04 2020-01-07 特灵空调系统(中国)有限公司 Fault detection method, heat exchange system and computer readable storage medium
US20220057128A1 (en) * 2020-08-18 2022-02-24 Daeyeong E&B Co., Ltd. Method of controlling ice-detaching temperature of icemaker
CN113108842A (en) * 2021-04-16 2021-07-13 中国石油大学(北京) Heat exchanger multi-parameter association monitoring and early warning method and system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115204426A (en) * 2022-09-14 2022-10-18 山东汇泓纺织科技有限公司 Textile production line operation supervision system based on Internet of things
CN115204426B (en) * 2022-09-14 2022-12-06 山东汇泓纺织科技有限公司 Textile production line operation supervision system based on Internet of things
CN115544736A (en) * 2022-09-15 2022-12-30 宏明科技集团有限公司 Cooling tower control system and method
CN115544736B (en) * 2022-09-15 2023-08-15 宏明科技集团有限公司 Cooling tower control system and method
CN116242197A (en) * 2023-05-12 2023-06-09 浙江弗尔德驱动科技有限公司 Permanent magnet semi-direct-drive motor special for cooling tower
CN116242197B (en) * 2023-05-12 2023-08-29 浙江弗尔德驱动科技有限公司 Operation monitoring system of special permanent magnet semi-direct-drive motor for cooling tower

Also Published As

Publication number Publication date
CN114893936B (en) 2022-09-16

Similar Documents

Publication Publication Date Title
CN114893936B (en) Water inlet and outlet control system and control method for ice making system
Cui et al. A model-based online fault detection and diagnosis strategy for centrifugal chiller systems
CN110765619B (en) Failure-free canned motor pump fault short-term multi-step prediction method based on multi-state parameters
CN110376005B (en) Data processing method, refrigerant leakage detection method, system failure detection method, and system performance detection method
US20240185115A1 (en) Method and apparatus for early warning of dry pump shutdown, electronic device, storage medium and program
CN115857594B (en) Chip manufacturing site environment intelligent management and control system based on artificial intelligence
CN117804112B (en) Cold and heat source system Ai energy efficiency management system
Yang et al. HVAC equipment, unitary: Fault detection and diagnosis
KR102140532B1 (en) Method for Failure Detecting in Air Compressor based on big data
TW202142815A (en) Monitoring method of cool system and monitoring device thereof
US20060100915A1 (en) Plant apparatus operation support device
CN118030494A (en) Detection accuracy evaluation system suitable for compressor performance detection
CN117879168A (en) Real-time early warning system of thermal power station based on multimode fuses
CN116163943B (en) Compressor with real-time monitoring of running state
CN113899093B (en) Identification and prejudgment method for oil return fault of screw type refrigeration compressor
CN117029179A (en) Water chilling unit fault diagnosis method based on Bayesian network integrated with decision boundary
CN115718884A (en) Preventive maintenance method for equipment health degree evaluation
JP2007026134A (en) Abnormality decision device
Haves et al. Model-based performance monitoring: Review of diagnostic methods and chiller case study
KR102561062B1 (en) Monitoring system and method for nuclear power plant
CN118502338B (en) Intelligent management and control method and system for building equipment
KR102551043B1 (en) Air compressor monitoring apparatus using grouping and air compressor monitoring method
CN118224792B (en) Heating refrigeration cycle system fault early warning method and system
TW202132733A (en) Performance evaluation method of water chiller which uses a plurality of data as historical data and truly judges the difference between the past and current performances of the water chiller
CN117346418B (en) Control method and device of water chilling unit, storage medium and electronic equipment

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