CN116311827A - Internet-based ice machine fault monitoring and early warning system - Google Patents
Internet-based ice machine fault monitoring and early warning system Download PDFInfo
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- CN116311827A CN116311827A CN202310515574.1A CN202310515574A CN116311827A CN 116311827 A CN116311827 A CN 116311827A CN 202310515574 A CN202310515574 A CN 202310515574A CN 116311827 A CN116311827 A CN 116311827A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 85
- 238000000034 method Methods 0.000 claims abstract description 28
- 238000007405 data analysis Methods 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000012423 maintenance Methods 0.000 claims description 48
- 230000002159 abnormal effect Effects 0.000 claims description 36
- 238000003860 storage Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims 4
- 238000011418 maintenance treatment Methods 0.000 claims 1
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- 238000004458 analytical method Methods 0.000 description 2
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25C—PRODUCING, WORKING OR HANDLING ICE
- F25C1/00—Producing ice
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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Abstract
The invention discloses an ice machine fault monitoring and early warning system based on the Internet, wherein a data acquisition module is used for acquiring the operation parameter information of an ice machine and sending the operation parameter information to a server; the data analysis module receives the operation parameter information transmitted by the server, performs data analysis on the operation parameter information to obtain the early warning base number of the ice maker, and transmits the obtained early warning information to the server; the monitoring and early warning module receives early warning information transmitted by the server to carry out monitoring and early warning; the invention obtains the response speed coefficient and the equipment monitoring coefficient in the ice making process of the ice maker through the data obtaining module, namely obtains the running efficiency of the ice maker through the response speed coefficient of the ice maker, obtains the running environment of the ice maker through the equipment monitoring coefficient of the ice maker, and obtains the early warning base number of the ice maker to pre-warn through data processing of the response speed coefficient and the equipment monitoring coefficient and the use energy efficiency value of the ice maker.
Description
Technical Field
The invention relates to the technical field of ice machine monitoring, in particular to an internet-based ice machine fault monitoring and early warning system.
Background
An ice maker is a refrigeration mechanical device which cools water by an evaporator through a refrigerating system refrigerant to generate ice, and the ice is manufactured by adopting the refrigerating system and a water carrier through a certain device under the power-on state. The shape of the generated ice blocks is different according to the principle and the production mode of the evaporator; ice machines are generally classified into particle ice machines, flake ice machines, plate ice machines, pipe ice machines, shell ice machines, and the like in the shape of ice.
In the ice making process of the existing ice maker, the fault of the ice maker equipment is not predicted, and only when the ice maker fails and can not make ice, the ice can not be made effectively, so that the ice making efficiency is greatly delayed;
therefore, the system for monitoring and early warning the fault of the ice machine based on the Internet is provided for diagnosing the operation parameters of the ice machine in real time, so that the ice making information of the ice machine is identified, and the timely early warning of the fault of the ice machine is completed.
Disclosure of Invention
The invention aims to provide an Internet-based ice machine fault monitoring and early warning system, which is characterized in that a response speed coefficient and a device monitoring coefficient of an ice machine in the ice making process of the ice machine are obtained through a data acquisition module, namely, the running efficiency of the ice machine is obtained through the response speed coefficient of the ice machine, the running environment of the ice machine is obtained through the device monitoring coefficient of the ice machine, the response speed coefficient and the device monitoring coefficient are subjected to data processing with the use energy efficiency value of the ice machine, the early warning base number of the ice machine is obtained, when the early warning base number of the ice machine is smaller than the early warning base number threshold Hy of the ice machine in running, the ice machine is indicated to run abnormally, a running abnormal signal is generated, and the monitoring and early warning module carries out monitoring and early warning based on the running abnormal signal.
The aim of the invention can be achieved by the following technical scheme:
the ice machine fault monitoring and early warning system based on the Internet comprises a data acquisition module, a data analysis module, a monitoring and early warning module and a server;
the data acquisition module is used for acquiring the operation parameter information of the ice machine and sending the operation parameter information to the server;
the data analysis module receives the operation parameter information transmitted by the server, performs data analysis on the operation parameter information to obtain the early warning base number of the ice maker, and transmits the obtained early warning information to the server;
and the monitoring and early warning module receives the early warning information transmitted by the server to carry out monitoring and early warning.
As a further scheme of the invention: the operation parameter information includes response speed data of the ice maker and ice maker operation data.
As a further scheme of the invention: the data acquisition module comprises a plurality of speed acquisition subunits and a device monitoring subunit;
the speed acquisition subunit is used for acquiring a response speed coefficient of the ice machine;
the equipment monitoring subunit is used for acquiring equipment monitoring coefficients of the ice machine.
As a further scheme of the invention: the speed acquisition subunit acquires a response speed coefficient of the ice machine as follows:
s1: the speed acquisition subunit acquires the response speed of the ice making machine controller for receiving the ice making instruction to perform ice making action, and the response speed is marked as V1;
s2: the speed acquisition subunit acquires the ice outlet speed of the ice maker controller end from the ice making action to the start of ice outlet, and the speed is marked as V2;
s3: the speed acquisition subunit acquires the speed from the ice making instruction received by the ice making machine to the completion of ice making, and the speed is marked as V3;
by the formula
And acquiring a response speed coefficient Vi of the ice machine, wherein alpha, beta and gamma are preset proportional coefficients.
As a further scheme of the invention: the equipment monitoring subunit acquires the equipment monitoring coefficient of the ice machine as follows:
w1: acquiring average electric energy of the ice maker when the ice maker operates, and marking the average electric energy of the ice maker when the ice maker operates as EDi:
w2: acquiring the highest temperature of the shell when the ice machine operates, and marking the highest temperature of the shell of the ice machine as WDi;
w3: acquiring an abnormal sound decibel value of the ice machine during operation, and marking the abnormal sound decibel value of the ice machine during operation as BDi;
w4: acquiring an ice making parameter coefficient when the ice maker operates, and marking the ice making parameter coefficient when the ice maker operates as TDi;
by the formula
The obtained device monitoring coefficients Mi, c1, c2, c3 and c4 are all preset proportionality coefficients, and c1 > c2 > c3 > c4 > 0, < >>
The correction factor is 2.301236.
As a further scheme of the invention: the average electric energy EDi of the ice machine in operation is obtained by obtaining the input voltage Vc and the input current Ci of the ice machine through a voltage sensor and a current sensor, multiplying the input voltage Vc and the input current Ci and integrating the time, thereby obtaining the average electric energy of the ice machine in operation.
As a further scheme of the invention: the process for obtaining the ice making parameter coefficient TDi when the ice making machine operates is as follows:
w41: acquiring a limit value of the ice-making daily yield of the ice-making machine, and marking the limit value of the ice-making daily yield of the ice-making machine as Zi;
w42: acquiring the maximum ice storage amount of the ice maker, and marking the maximum ice storage amount of the ice maker as Gi;
w43: by the formula
The ice making parameter coefficients TDi, r1, r2 and r3 are all preset proportionality coefficients when the ice making machine operates, and r1 is more than r2 and more than r3 is more than 0.
As a further scheme of the invention: the data analysis module processes the obtained response speed data, the obtained equipment monitoring coefficient and the obtained using energy efficiency value of the ice maker;
the method comprises the steps of marking response speed data as Vi, equipment monitoring coefficients as Mi and the use energy efficiency value of an ice maker as Pi;
the method comprises the steps of distributing weights of response speed data, equipment monitoring coefficients and using energy efficiency values of an ice machine when the ice machine operates, marking the weight of the response speed data of the ice machine as q1, marking the weight of the equipment monitoring coefficients of the ice machine when the ice machine operates as q2, and marking the using energy efficiency value weight of the ice machine as q3, wherein q1+q2+q3=1;
calculating to obtain an early warning base number of the ice machine in operation through a formula Hi=Vixq1+Mixq2+Pixq3;
the method comprises the steps of presetting an early warning base threshold value of Hy when an ice machine operates, and comparing the early warning base Hi when the ice machine operates with the early warning base threshold value of Hy when the ice machine operates:
if the early warning base Hi of the ice machine is more than or equal to the early warning base threshold Hy of the ice machine, judging that the ice machine is normal in operation, generating an operation normal signal, and sending the operation normal signal to a server;
if the early warning base Hi of the ice machine is smaller than the early warning base threshold Hy of the ice machine, the ice machine is judged to be abnormal in operation, an operation abnormal signal is generated, and the operation abnormal signal and equipment information of the operation abnormal are sent to a server.
As a further scheme of the invention: the using energy efficiency value Pi of the ice machine is obtained by processing the using time of the ice machine, the failure times of the ice machine and the maintenance times of the ice machine.
As a further scheme of the invention: the monitoring and early warning module receives the abnormal running signal of the ice machine and the equipment information of the abnormal running ice machine transmitted by the server, generates early warning signals from the abnormal running signal and the equipment information of the abnormal running ice machine, and sends the early warning signals to a mobile phone terminal of a maintenance personnel in a short message mode, so that the maintenance personnel can maintain the ice machine.
The invention has the beneficial effects that: the invention obtains the response speed coefficient and the equipment monitoring coefficient in the ice making process of the ice machine through the data obtaining module, namely obtains the running efficiency of the ice machine through the response speed coefficient of the ice machine, obtains the running environment of the ice machine through the equipment monitoring coefficient of the ice machine, obtains the early warning base of the ice machine through data processing of the response speed coefficient and the equipment monitoring coefficient and the use energy efficiency value of the ice machine, and when the early warning base of the ice machine is smaller than the early warning base threshold Hy of the ice machine in running, the invention indicates that the ice machine runs abnormally, and generates an operation abnormal signal, namely the abnormal signal of the ice machine comprises the ice making process data of the ice machine, the ice machine running data and the energy efficiency value data of the ice machine, so that the abnormal monitoring data of the ice machine is more comprehensive and has stronger comprehensiveness.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart 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.
Referring to fig. 1, the invention discloses an internet-based ice maker fault monitoring and early warning system, which comprises a data acquisition module, a data analysis module, a monitoring and early warning module and a server;
the data acquisition module, the data analysis module and the monitoring and early warning module are electrically connected with the server;
the data acquisition module is used for acquiring the operation parameter information of the ice machine and sending the operation parameter information to the server;
the data analysis module receives the operation parameter information transmitted by the server, performs data analysis on the operation parameter information to obtain the early warning base number of the ice machine, and transmits the obtained early warning information to the server;
and the monitoring and early warning module receives the early warning information transmitted by the server to carry out monitoring and early warning.
The operation parameter information comprises response speed data of the ice maker and operation data of the ice maker;
the data acquisition module comprises a plurality of speed acquisition subunits and a device monitoring subunit;
the speed acquisition subunit is used for acquiring a response speed coefficient of the ice machine, and the specific acquisition steps are as follows:
s1: the speed acquisition subunit acquires the response speed of the ice making machine controller for receiving the ice making instruction to perform ice making action, and the response speed is marked as V1;
s2: the speed acquisition subunit acquires the ice outlet speed of the ice maker controller end from the ice making action to the start of ice outlet, and the speed is marked as V2;
s3: the speed acquisition subunit acquires the speed from the ice making instruction received by the ice making machine to the completion of ice making, and the speed is marked as V3;
by the formula
Acquiring a response speed coefficient Vi of the ice machine, wherein alpha, beta and gamma are preset proportional coefficients; the α, β, γ are a custom value set by those skilled in the art, and may specifically be 0.3, 0.45, 0.25, but are not limited thereto, only an example is given, and may be set reasonably by those skilled in the art according to actual use.
The equipment monitoring subunit is used for acquiring equipment monitoring coefficients of the ice machine, and specifically comprises the following steps:
w1: acquiring average electric energy of the ice maker when the ice maker operates, and marking the average electric energy of the ice maker when the ice maker operates as EDi:
w2: acquiring the highest temperature of the shell when the ice machine operates, and marking the highest temperature of the shell of the ice machine as WDi;
w3: acquiring an abnormal sound decibel value of the ice machine during operation, and marking the abnormal sound decibel value of the ice machine during operation as BDi;
w4: acquiring an ice making parameter coefficient when the ice maker operates, and marking the ice making parameter coefficient when the ice maker operates as TDi;
by the formula
The obtained device monitoring coefficients Mi, c1, c2, c3 and c4 are all preset proportionality coefficients, and c1 > c2 > c3 > c4 > 0, < >>
For correction factor, the values of 2.301236, c1, c2, c3 and c4 are a custom value set by those skilled in the art, and may be 1.6, 1.3, 0.8 and 0.5, but are not limited toThis is given by way of example only and may be set by those skilled in the art as appropriate for the actual use.
The average electric energy EDi acquisition process during the running of the ice maker is as follows:
the input voltage Vc and the input current Ci of the ice maker are obtained through a voltage sensor and a current sensor, and the product of the input voltage Vc and the input current Ci is carried out and the time is integrated, so that the average electric energy of the ice maker during operation is obtained.
The process for obtaining the ice making parameter coefficient TDi when the ice making machine operates is as follows:
w41: acquiring a limit value of the ice-making daily yield of the ice-making machine, and marking the limit value of the ice-making daily yield of the ice-making machine as Zi;
w42: acquiring the maximum ice storage amount of the ice maker, and marking the maximum ice storage amount of the ice maker as Gi;
w43: by the formula
The obtained ice making parameter coefficients TDi, r1, r2 and r3 are preset proportionality coefficients when the ice making machine operates, and r1 > r2 > r3 > 0, r1, r2 and r3 are a custom value set by a person skilled in the art, and specifically can take values of 2.1, 1.7 and 1.2, but the method is not limited to the foregoing, only an example is given, and the method can be reasonably set by the person skilled in the art according to actual use.
The data acquisition module transmits the obtained response speed data Vi and the device monitoring coefficient Mi to the server, and the server stores the received response speed data Vi and the device monitoring coefficient Mi.
The data analysis module receives response speed data and equipment monitoring coefficients transmitted by the server when the ice machine operates, and performs data processing on the response speed data and the equipment monitoring coefficients when the ice machine operates and the use energy efficiency value of the ice machine to obtain an early warning base number of the ice machine;
the using energy efficiency value Pi of the ice machine is obtained by processing the using time of the ice machine, the fault times of the ice machine and the maintenance times of the ice machine, and the using time of the ice machine is marked as Ti, the fault times Ci of the ice machine and the maintenance times Wi of the ice machine;
by the formula
Obtaining the use energy efficiency value of the ice maker, wherein d1, d2 and d43 are preset proportionality coefficients; d1, d2 and d3 are a custom value set by those skilled in the art, and may specifically be 0.7, 0.2 or 0.5.
The early warning base acquisition process of the ice machine specifically comprises the following steps:
the method comprises the steps of distributing weights of response speed data, equipment monitoring coefficients and using energy efficiency values of an ice machine when the ice machine operates, marking the weight of the response speed data of the ice machine as q1, marking the weight of the equipment monitoring coefficients of the ice machine when the ice machine operates as q2, and marking the using energy efficiency value weight of the ice machine as q3, wherein q1+q2+q3=1;
calculating to obtain an early warning base number of the ice machine in operation through a formula Hi=Vixq1+Mixq2+Pixq3;
the method comprises the steps of presetting an early warning base threshold value of Hy when an ice machine operates, and comparing the early warning base Hi when the ice machine operates with the early warning base threshold value of Hy when the ice machine operates:
if the early warning base Hi of the ice machine is more than or equal to the early warning base threshold Hy of the ice machine, judging that the ice machine is normal in operation, generating an operation normal signal, and sending the operation normal signal to a server;
if the early warning base Hi of the ice machine is smaller than the early warning base threshold Hy of the ice machine, the ice machine is judged to be abnormal in operation, an operation abnormal signal is generated, and the operation abnormal signal and equipment information of the operation abnormal are sent to a server.
The monitoring and early warning module receives the abnormal running signal of the ice machine and the equipment information of the abnormal running ice machine transmitted by the server, generates an early warning signal from the abnormal running signal and the equipment information of the abnormal running ice machine, and sends the early warning signal to a mobile phone terminal of a maintenance person in a short message mode;
the monitoring and early warning module comprises a distribution unit and a calling unit, wherein the distribution unit is used for receiving a distribution signal of maintenance personnel and reasonably distributing the maintenance personnel;
the method comprises the following steps:
acquiring the time of the service personnel by a server, comparing the time of the service personnel with the current time of the system, acquiring the time of the service personnel, and marking M3 of the time of the service personnel;
acquiring a corresponding monitoring coefficient of the ice machine according to the equipment information of the abnormal ice machine, and sequencing the corresponding monitoring coefficient of the ice machine according to the sequence from high to low;
performing distance calculation on the real-time position of the maintenance personnel and the position of the fault point to obtain a distance M1;
setting the number to be maintained corresponding to maintenance personnel as M2; setting the working age of maintenance personnel as M4;
step four: using the formula
Obtaining a blending value TP of a maintenance personnel, wherein f1, f2, f3 and f4 are preset proportion coefficients, and the values are 1.2, 1.6, 1.3 and 1.1 respectively;
as can be seen from the above formula, the service life of the maintenance personnel is approximately 10 years, and the larger the adjustment value of the maintenance personnel is; the real-time position of the maintenance personnel is approximately 3 km away from the fault point position, and the larger the allocation value of the maintenance personnel is; the smaller the number of maintenance personnel to be maintained is, the larger the reminding value is; the more the maintenance personnel maintain the total number of times, the larger the reminding value;
the maintenance personnel with the largest adjustment value is selected as the selected maintenance personnel; the monitoring and early warning module sends a maintenance reminding instruction to a mobile phone terminal of a selected maintenance person; the method comprises the steps that a selected maintenance person sends a confirmation instruction to a fault analysis module within a preset time range, the number of the selected maintenance person to be maintained is increased by one, and meanwhile, the fault analysis module sends a fault point position to be maintained to a mobile phone terminal of the selected maintenance person; if the selected maintenance personnel do not send a confirmation instruction within a preset time range, the undetermined times of the selected maintenance personnel are increased once, meanwhile, the maintenance personnel with the inferior allocation value are marked as the selected maintenance personnel, and a maintenance reminding instruction is sent to a mobile phone terminal of the selected maintenance personnel; and so on.
The server also comprises a registration login module, wherein the registration login module is used for sending information of maintenance personnel through the mobile phone terminal, and sending the information of the maintenance personnel which is successfully registered into the database for storage, and the information of the maintenance personnel comprises the name, age, time of job entry and mobile phone number of personal real-name authentication.
One of the cores of the invention is: the method comprises the steps that a response speed coefficient and a device monitoring coefficient in the ice making process of the ice maker are obtained through a data obtaining module, namely, the operation efficiency of the ice maker is obtained through the response speed coefficient of the ice maker, the operation environment of the ice maker is obtained through the device monitoring coefficient of the ice maker, the early warning base of the ice maker is obtained through data processing of the response speed coefficient and the device monitoring coefficient and the use energy efficiency value of the ice maker, when the early warning base of the ice maker is smaller than the early warning base threshold Hy of the ice maker in operation, the ice maker is indicated to operate abnormally, and an operation abnormal signal is generated, namely, the abnormal signal of the ice maker comprises ice making process data of the ice maker, ice making device operation data and the energy efficiency value data of the ice making device, so that the abnormal monitoring data of the ice maker are more comprehensive and have stronger comprehensiveness;
the use energy efficiency value of the ice maker reflects the frequency and parameters of the ice maker in daily use and maintenance processes, namely the use smoothness of the ice maker is reflected;
the second core of the invention is: the monitoring and early warning module is used for calling maintenance personnel for processing the abnormal ice machine, wherein the service personnel call the maintenance personnel for about 10 years, the distance between the real-time position of the maintenance personnel and the fault point is about 3 km, the smaller the number of to-be-maintained maintenance of the maintenance personnel and the more the total number of maintenance times of the maintenance personnel are, the maintenance personnel call the maintenance personnel preferentially, so that the maintenance of the ice machine has timeliness and effectiveness.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (10)
1. The ice machine fault monitoring and early warning system based on the Internet is characterized by comprising a data acquisition module, a data analysis module, a monitoring and early warning module and a server;
the data acquisition module is used for acquiring the operation parameter information of the ice machine and sending the operation parameter information to the server;
the data analysis module receives the operation parameter information transmitted by the server, performs data analysis on the operation parameter information to obtain the early warning base number of the ice maker, and transmits the obtained early warning information to the server;
and the monitoring and early warning module receives the early warning information transmitted by the server to carry out monitoring and early warning.
2. The internet-based ice maker fault monitoring and warning system of claim 1, wherein the operating parameter information includes response speed data of the ice maker and ice maker operation data.
3. The internet-based ice maker fault monitoring and early warning system of claim 2, wherein the data acquisition module comprises a plurality of speed acquisition subunits and a device monitoring subunit;
the speed acquisition subunit is used for acquiring a response speed coefficient of the ice machine;
the equipment monitoring subunit is used for acquiring equipment monitoring coefficients of the ice machine.
4. The internet-based ice maker fault monitoring and early warning system of claim 3, wherein the step of the speed acquisition subunit acquiring a response speed coefficient of the ice maker is as follows:
s1: the speed acquisition subunit acquires the response speed of the ice making machine controller for receiving the ice making instruction to perform ice making action, and the response speed is marked as V1;
s2: the speed acquisition subunit acquires the ice outlet speed of the ice maker controller end from the ice making action to the start of ice outlet, and the speed is marked as V2;
s3: the speed acquisition subunit acquires the speed from the ice making instruction received by the ice making machine to the completion of ice making, and the speed is marked as V3;
by the formula
And acquiring a response speed coefficient Vi of the ice machine, wherein alpha, beta and gamma are preset proportional coefficients.
5. The internet-based ice maker fault monitoring and early warning system of claim 3, wherein the step of the device monitoring subunit obtaining the device monitoring coefficients of the ice maker comprises the steps of:
w1: acquiring average electric energy of the ice maker when the ice maker operates, and marking the average electric energy of the ice maker when the ice maker operates as EDi:
w2: acquiring the highest temperature of the shell when the ice machine operates, and marking the highest temperature of the shell of the ice machine as WDi;
w3: acquiring an abnormal sound decibel value of the ice machine during operation, and marking the abnormal sound decibel value of the ice machine during operation as BDi;
w4: acquiring an ice making parameter coefficient when the ice maker operates, and marking the ice making parameter coefficient when the ice maker operates as TDi;
by the formula
The obtained device monitoring coefficients Mi, c1, c2, c3 and c4 are all preset proportionality coefficients, and c1 > c2 > c3 > c4 > 0, < >>
The correction factor is 2.301236.
6. The internet-based ice maker fault monitoring and early warning system according to claim 5, wherein the average electric energy EDi is obtained when the ice maker is operated by obtaining an input voltage Vc and an input current Ci of the ice maker through a voltage sensor and a current sensor, multiplying the input voltage Vc and the input current Ci, and integrating over time.
7. The internet-based ice maker fault monitoring and early warning system of claim 5, wherein the process of obtaining the ice making parameter coefficient TDi when the ice maker is operated is as follows:
w41: acquiring a limit value of the ice-making daily yield of the ice-making machine, and marking the limit value of the ice-making daily yield of the ice-making machine as Zi;
w42: acquiring the maximum ice storage amount of the ice maker, and marking the maximum ice storage amount of the ice maker as Gi;
w43: by the formula
The ice making parameter coefficients TDi, r1, r2 and r3 are all preset proportionality coefficients when the ice making machine operates, and r1 is more than r2 and more than r3 is more than 0.
8. The internet-based ice maker fault monitoring and early warning system according to claim 2, wherein the data analysis module processes the obtained response speed data and the equipment monitoring coefficient with the using energy efficiency value of the ice maker;
the method comprises the steps of marking response speed data as Vi, equipment monitoring coefficients as Mi and the use energy efficiency value of an ice maker as Pi;
the method comprises the steps of distributing weights of response speed data, equipment monitoring coefficients and using energy efficiency values of an ice machine when the ice machine operates, marking the weight of the response speed data of the ice machine as q1, marking the weight of the equipment monitoring coefficients of the ice machine when the ice machine operates as q2, and marking the using energy efficiency value weight of the ice machine as q3, wherein q1+q2+q3=1;
calculating to obtain an early warning base number of the ice machine in operation through a formula Hi=Vixq1+Mixq2+Pixq3;
the method comprises the steps of presetting an early warning base threshold value of Hy when an ice machine operates, and comparing the early warning base Hi when the ice machine operates with the early warning base threshold value of Hy when the ice machine operates:
if the early warning base Hi of the ice machine is more than or equal to the early warning base threshold Hy of the ice machine, judging that the ice machine is normal in operation, generating an operation normal signal, and sending the operation normal signal to a server;
if the early warning base Hi of the ice machine is smaller than the early warning base threshold Hy of the ice machine, the ice machine is judged to be abnormal in operation, an operation abnormal signal is generated, and the operation abnormal signal and equipment information of the operation abnormal are sent to a server.
9. The internet-based ice maker fault monitoring and early warning system according to claim 8, wherein the ice maker use energy efficiency value Pi is obtained by processing a use time period of the ice maker, a number of faults of the ice maker and a number of maintenance times of the ice maker.
10. The internet-based ice machine fault monitoring and early warning system according to claim 8, wherein the monitoring and early warning module receives the ice machine operation abnormality signal and the equipment information of the operation abnormality ice machine transmitted by the server, and sends the operation abnormality signal and the equipment information of the operation abnormality ice machine to a mobile phone terminal of a maintenance personnel in a form of short message, so that the maintenance personnel can perform maintenance treatment.
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| CN118394016B (en) * | 2024-06-25 | 2024-09-06 | 深圳市兄弟制冰系统有限公司 | Intelligent monitoring system and method for cabin-mounted refrigeration replenishing device |
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| CN116311827B (en) | 2024-04-26 |
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