Ice maker intelligent control method and system

Abstract

The invention provides an intelligent control method and system for an ice maker, and the method comprises the steps: monitoring the triggering state of the ice maker, and carrying out the state self-inspection of the ice maker after an ice-making starting function is triggered, and obtaining the initial state of each ice-making link of the ice maker; when the initial state does not meet the ice making requirement, generating a first control instruction, and controlling the ice maker to perform state adjustment based on the first control instruction; when the state adjustment result meets the ice making requirement, a second control instruction set is obtained, and linkage control is conducted on the ice making links in sequence based on the ice making process according to the second control instruction set till the ice making operation is completed. The ice maker is effectively controlled and managed, the ice making efficiency and the ice making quality are improved, and the intelligent control effect on the ice maker is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, and in particular to an intelligent control method and system for an ice making machine. Background Art

[0002] With the improvement of people's living standards and the expansion of various commercial applications, the demand for ice machines is growing;

[0003] However, the existing ice machine control technology has some shortcomings:

[0004] On the one hand, the control method of traditional ice makers is relatively simple, and they often only operate according to preset fixed parameters. They cannot be flexibly adjusted according to actual environmental changes and usage requirements, resulting in unstable ice-making efficiency. Under different working conditions, problems such as slow ice-making speed, high energy consumption, and uneven ice quality may occur.

[0005] On the other hand, some ice machines lack intelligent monitoring and management functions and cannot perceive the operating status and potential failure risks of the equipment in real time, which not only affects the normal use of the ice machine, but also increases the maintenance cost and difficulty;

[0006] Therefore, in order to overcome the above-mentioned defects, the present invention provides an ice making machine intelligent control method and system. Summary of the invention

[0007] The present invention provides an ice-making machine intelligent control method and system, which are used to firstly perform a state self-check on the ice-making machine after the ice-making machine is successfully triggered, so as to effectively judge whether the ice-making machine meets the ice-making demand according to the initial state of each ice-making link of the ice-making machine obtained by the state self-check, thereby providing a premise and guarantee for effective ice-making control; secondly, when the initial state does not meet the ice-making demand, the ice-making machine is controlled to adjust its state by generating a first control instruction, thereby ensuring the operation effect of the ice-making machine and improving the control intelligence and reliability of the ice-making machine; finally, when the state meets the ice-making demand, the ice-making link is linked controlled by the generated second control instruction set, thereby realizing effective control and management of the ice-making machine, improving the ice-making efficiency and ice-making quality, and greatly improving the intelligent control effect of the ice-making machine.

[0008] The present invention provides an ice making machine intelligent control method, comprising:

[0009] Step 1: Monitor the triggering state of the ice maker, and after the ice making start function is triggered, perform a state self-check on the ice maker to obtain the initial state of each ice making link of the ice maker;

[0010] Step 2: When the initial state does not meet the ice-making demand, a first control instruction is generated, and the ice-making machine is controlled to adjust the state based on the first control instruction;

[0011] Step 3: When the state adjustment result meets the ice-making demand, a second control instruction set is obtained, and each ice-making link is linked and controlled in sequence according to the second control instruction set based on the ice-making process until the ice-making operation is completed.

[0012] Preferably, in an ice-making machine intelligent control method, in step 1, monitoring the triggering state of the ice-making machine includes:

[0013] Collecting touch data on the ice maker operation panel, identifying the touch data on the ice maker operation panel, and determining an execution target of the touch data;

[0014] Extracting keywords of the execution target, matching the keywords of the execution target in a preset program library, and determining a trigger program matching the execution target according to the matching result;

[0015] The triggering state of the ice maker is determined according to the triggering program. Meanwhile, when the triggering state is the ice making on function, the ice maker is self-checked.

[0016] Preferably, an ice maker intelligent control method, triggering state, includes: ice maker standby state, ice maker ice making function start state.

[0017] Preferably, in an ice-making machine intelligent control method, in step 1, after the ice-making start function is triggered, the ice-making machine is self-checked to obtain the initial state of each ice-making link of the ice-making machine, including:

[0018] When the ice-making function is triggered, the status self-check start command is triggered;

[0019] According to the status self-check start instruction, the functional parts of each ice-making link and the sensors of each ice-making link are controlled to be linked, and the functional parts of each ice-making link and the corresponding sensors of each ice-making link are started synchronously;

[0020] After the synchronous start operation is completed, the monitoring data of each ice-making link is monitored based on the sensors corresponding to each ice-making link;

[0021] Read the monitoring data of each ice-making link, determine the data characteristics of the monitoring data in each ice-making link, and at the same time, retrieve the status table corresponding to each ice-making link;

[0022] Match the data characteristics of the monitoring data in each ice-making link with the state table corresponding to each ice-making link to determine the initial state data of each ice-making link;

[0023] Construct a link label for each ice-making link, and retrieve a data format template from a preset template library according to the link label for each ice-making link;

[0024] The initial status data of each ice-making link is recorded in the corresponding data format template, and the corresponding sub-status report of each ice-making link is determined according to the recording results;

[0025] The execution order of the ice-making links is obtained, and the sub-status reports are sorted and integrated according to the execution order to generate a record report of the initial status of each ice-making link of the ice-making machine.

[0026] Preferably, an ice-making machine intelligent control method, in step 2, when the initial state does not meet the ice-making demand, generates a first control instruction, and controls the ice-making machine to adjust the state based on the first control instruction, including:

[0027] When the initial state does not meet the ice-making demand, the initial state of each ice-making link is read, and at the same time, the ice-making demand is read to determine the standard initial state of each ice-making link based on the ice-making demand;

[0028] Performing a first match between the initial state of each ice-making link and the standard initial state of each ice-making link, and marking the target ice-making link whose initial state does not match the corresponding standard initial state according to the first matching result;

[0029] The target ice-making link is extracted according to the labeling results, and the state difference between the initial state and the standard initial state is obtained;

[0030] Generate a first instruction element according to the state difference between the initial state and the standard initial state, and at the same time, read the link label of the target ice-making link and generate a second instruction element according to the link label;

[0031] Associating the first instruction element with the second instruction element to generate a third instruction element;

[0032] Acquire the target number of ice-making links, and when the target number of ice-making links is one, generate a first control instruction based on the third instruction element;

[0033] When the number of target ice-making links is greater than one, obtaining association relationships between the target ice-making links, and generating association instruction elements of a plurality of third instruction elements according to the association relationships;

[0034] synthesizing the plurality of third instruction elements and the associated instruction element to generate a fourth instruction element, and generating a first control instruction based on the fourth instruction element;

[0035] Constructing a virtual ice-making process of an ice-making machine in a computer and simulating an initial state of a target ice-making process, and at the same time, performing state control on the virtual ice-making process according to a first control instruction and obtaining a virtual control result;

[0036] Matching the virtual control results with ice making requirements;

[0037] If the virtual control result matches the ice-making demand, the ice-making machine is controlled to adjust the state of the corresponding target ice-making link based on the first control instruction;

[0038] Otherwise, the first control instruction is regenerated until the virtual control result matches the ice-making demand.

[0039] Preferably, an ice-making machine intelligent control method, after controlling the ice-making machine to adjust the state of the corresponding target ice-making link based on the first control instruction, comprises:

[0040] Based on the sensors corresponding to each ice-making link, the target state of each ice-making link after the state adjustment is collected;

[0041] Performing a second matching of the target state of each ice-making link with the corresponding standard initial state;

[0042] If the target state of each ice-making link in the second matching result matches the corresponding standard initial state, it is determined that the state adjustment is qualified;

[0043] Otherwise, it is determined that the state adjustment is unqualified, and the state adjustment is performed again on the unqualified ice-making link.

[0044] Preferably, in an ice making machine intelligent control method, in step 3, the linkage control content includes:

[0045] Water tank water level control, water tank disinfection control, water flow direction control, ice making and ice pouring control.

[0046] Preferably, in an ice-making machine intelligent control method, in step 3, when the state adjustment result meets the ice-making demand, a second control instruction set is generated, and each ice-making link is linked and controlled in sequence based on the ice-making process according to the second control instruction set, including:

[0047] When the state adjustment result meets the ice-making demand, the second control instruction set is triggered based on the control terminal, and the second control instruction set is read to determine the control object corresponding to each second control instruction in the second control instruction set;

[0048] Read the ice-making process, and determine the control priority weight of the control object according to the process sequence of the ice-making process;

[0049] Sort the plurality of second control instructions in the second control instruction set according to the control priority weight to obtain a linkage control strategy;

[0050] Based on the linkage control strategy, the second control instruction set is mobilized to perform linkage control on each ice-making link in sequence based on the ice-making process.

[0051] Preferably, in an ice making machine intelligent control method, in step 3, after the ice making operation is completed, the method comprises:

[0052] Obtain ice making parameters for completing the ice making operation, and generate a target ice making report for this ice making operation according to the ice making parameters;

[0053] Input the target ice-making report into the preset ice-making report set for matching, and determine whether there is an ice-making report consistent with the target ice-making report in the preset ice-making report set;

[0054] When there is an ice-making report in the preset ice-making report set that is consistent with the target ice-making report, the preset ice-making report set is not updated;

[0055] Otherwise, the preset report set is updated;

[0056] When there is a new ice-making task, matching is performed in a preset report set according to the ice-making task, and when there is an ice-making report consistent with the new ice-making task, a control strategy is generated according to the ice-making report consistent with the new ice-making task;

[0057] The ice-making machine is controlled according to the control strategy to perform ice-making operation based on the new ice-making task.

[0058] The present invention provides an ice making machine intelligent control system, comprising:

[0059] A self-check module is used to monitor the triggering state of the ice maker and, after the ice-making start function is triggered, to perform a self-check on the ice maker to obtain the initial state of each ice-making link of the ice maker;

[0060] A state adjustment module, used for generating a first control instruction when the initial state does not meet the ice-making demand, and controlling the ice-making machine to adjust the state based on the first control instruction;

[0061] The ice-making control module is used to obtain a second control instruction set when the state adjustment result meets the ice-making demand, and to control each ice-making link in sequence according to the second control instruction set based on the ice-making process until the ice-making operation is completed.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] After the ice maker is successfully triggered, the ice maker is firstly self-checked to achieve effective judgment on whether the ice maker meets the ice-making demand based on the initial state of each ice-making link of the ice maker obtained by the self-check, thereby providing a premise and guarantee for effective ice-making control; secondly, when the initial state does not meet the ice-making demand, the ice maker is controlled to adjust its state by generating a first control instruction, thereby ensuring the operation effect of the ice maker and improving the control intelligence and reliability of the ice maker; finally, when the state meets the ice-making demand, the ice-making link is linked and controlled by the generated second control instruction set, thereby achieving effective control and management of the ice maker, improving the ice-making efficiency and quality, and greatly improving the intelligent control effect of the ice maker.

[0064] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0065] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0067] Figure 1 This is a flow chart of an intelligent control method for an ice maker in an embodiment of the present invention;

[0068] Figure 2 This is a flow chart of step 1 in an ice-making machine intelligent control method according to an embodiment of the present invention;

[0069] Figure 3 The figure is a structural diagram of an intelligent control system for an ice maker in an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0071] Embodiment 1:

[0072] This embodiment provides an ice making machine intelligent control method. Figure 1 As shown, including:

[0073] Step 1: Monitor the triggering state of the ice maker, and after the ice making start function is triggered, perform a state self-check on the ice maker to obtain the initial state of each ice making link of the ice maker;

[0074] Step 2: When the initial state does not meet the ice-making demand, a first control instruction is generated, and the ice-making machine is controlled to adjust the state based on the first control instruction;

[0075] Step 3: When the state adjustment result meets the ice-making demand, a second control instruction set is obtained, and each ice-making link is linked and controlled in sequence according to the second control instruction set based on the ice-making process until the ice-making operation is completed.

[0076] In this embodiment, the triggering state includes: the ice maker standby state and the ice maker ice making function start state.

[0077] In this embodiment, the linkage control content includes: water tank water level control, water tank disinfection control, water channel flow direction control, ice making and ice pouring control.

[0078] In this embodiment, the ice-making process may include, and each step of the ice-making process is an ice-making link.

[0079] Plug in the power:

[0080] 1. When the ice machine is in standby mode, the display lights up, the buzzer beeps once, and the fan and refrigeration water pump start;

[0081] 2. When the start button is pressed, the ice tray is initially checked to see if it touches the micro switch. If so, the motor starts to fill water for 6 seconds before the refrigeration plate starts to make ice: (1) When the ECT temperature senses -3 degrees Celsius, the ice making time is extended by 100 seconds and the ice making time is stopped for 50 seconds (melting ice) - the ice tray is turned over to the micro switch for a delay of 120 seconds to maintain the de-icing state; (2) Water shortage detection in the bottom water tank - the water level sensor senses that there is no water) - the solenoid valve opening time (30 seconds); infrared detection of full water state - stop making ice, when the water purification tank sensor at the back senses that there is no water, the buzzer alarm (10 seconds) + indicator light; if not, the motor rotates to the micro switch. (2) Press the +- key to set the timing start - the countdown is displayed.

[0082] In this embodiment, the self-check of the status of the ice maker may be, for example, checking the water level status of the ice making water tank of the ice maker, checking the temperature of the water tank, checking whether the ice tray is afraid of hitting the micro switch, etc.

[0083] In this embodiment, the first control instruction may be an instruction to adjust the state of the ice maker when the initial state does not meet the ice-making demand, wherein the ice-making demand may be set in advance, for example, when the water level of the ice-making water tank of the ice maker is equal to or greater than a preset water level threshold, the ice-making demand is met.

[0084] In this embodiment, the second control instruction set can be composed of multiple second control instructions, which are used to control the control objects corresponding to the ice maker through the second control instruction set when executing the ice making process, so as to achieve coordinated control of the ice maker to realize the ice making operation, thereby realizing intelligent and precise control of the ice maker.

[0085] The working principle and beneficial effects of the above technical solution are as follows: after the ice maker is successfully triggered, the ice maker is firstly self-checked to achieve effective judgment on whether the ice maker meets the ice-making demand based on the initial state of each ice-making link of the ice maker obtained by the self-check, thereby providing a premise and guarantee for effective ice-making control; secondly, when the initial state does not meet the ice-making demand, the ice maker is controlled to adjust its state by generating a first control instruction, thereby ensuring the operation effect of the ice maker and improving the control intelligence and reliability of the ice maker; finally, when the state meets the ice-making demand, the ice-making link is linked and controlled by the generated second control instruction set, thereby achieving effective control and management of the ice maker, improving the ice-making efficiency and quality, and greatly improving the intelligent control effect of the ice maker.

[0086] Embodiment 2:

[0087] Based on Example 1, this embodiment provides an intelligent control method for an ice maker, such as Figure 2 As shown, in step 1, monitoring the triggering state of the ice maker includes:

[0088] S101: collecting touch data on the ice maker operation panel, identifying the touch data on the ice maker operation panel, and determining an execution target of the touch data;

[0089] S102: extracting keywords of the execution target, matching the keywords of the execution target in a preset program library, and determining a trigger program matching the execution target according to the matching result;

[0090] S103: determining the trigger state of the ice maker according to the trigger program, and when the trigger state is the ice making on function, performing a state self-check on the ice maker.

[0091] In this embodiment, the touch data is data generated by a user touching the operation panel.

[0092] In this embodiment, the execution target is a specific operation or function determined by identifying the touch data.

[0093] In this embodiment, the keywords of the execution target are key descriptive words extracted from the execution target, which are used for matching and associating with the preset program library.

[0094] In this embodiment, the preset program library is pre-set and stores keywords of multiple different execution targets.

[0095] The working principle and beneficial effects of the above technical solution are: by collecting the touch data of the ice maker operation panel, determining the execution target after identification, and then determining the trigger program according to the keywords of the execution target and matching it in the preset program library, and then determining the trigger state of the ice maker, and performing a status self-check when the trigger state is to turn on the ice-making function; it can accurately monitor and respond to the operation of the ice maker status self-check to ensure the normal operation and function realization of the ice maker.

[0096] Embodiment 3:

[0097] On the basis of Example 2, this embodiment provides an intelligent control method for an ice maker, wherein the triggering states include: an ice maker standby state and an ice maker ice making function start state.

[0098] Embodiment 4:

[0099] Based on Example 1, this embodiment provides an intelligent control method for an ice maker. In step 1, after the ice making start function is triggered, the ice maker is self-checked to obtain the initial state of each ice making link of the ice maker, including:

[0100] When the ice-making function is triggered, the status self-check start command is triggered;

[0101] According to the status self-check start instruction, the functional parts of each ice-making link and the sensors of each ice-making link are controlled to be linked, and the functional parts of each ice-making link and the corresponding sensors of each ice-making link are started synchronously;

[0102] After the synchronous start operation is completed, the monitoring data of each ice-making link is monitored based on the sensors corresponding to each ice-making link;

[0103] Read the monitoring data of each ice-making link, determine the data characteristics of the monitoring data in each ice-making link, and at the same time, retrieve the status table corresponding to each ice-making link;

[0104] Match the data characteristics of the monitoring data in each ice-making link with the state table corresponding to each ice-making link to determine the initial state data of each ice-making link;

[0105] Construct a link label for each ice-making link, and retrieve a data format template from a preset template library according to the link label for each ice-making link;

[0106] The initial status data of each ice-making link is recorded in the corresponding data format template, and the corresponding sub-status report of each ice-making link is determined according to the recording results;

[0107] The execution order of the ice-making links is obtained, and the sub-status reports are sorted and integrated according to the execution order to generate a record report of the initial status of each ice-making link of the ice-making machine.

[0108] In this embodiment, the status self-check start instruction may be an instruction automatically generated after the ice-making start function is triggered to control the functional components of each indicator link and the sensors corresponding to each ice-making link to start synchronously.

[0109] In this embodiment, the functional parts refer to components of the ice maker.

[0110] In this embodiment, synchronously starting the functional components of each ice-making link and the sensors corresponding to each ice-making link can effectively ensure that the sensors corresponding to each link can synchronously and effectively monitor the functional components of the ice-making link.

[0111] In this embodiment, the monitoring data of each ice-making link is the specific data information about the operating status of each ice-making link obtained by the sensor, such as water level, temperature and other data.

[0112] In this embodiment, the data characteristics of the monitoring data specify the attributes of the monitoring data in advance, such as: the data range of the monitoring data, the change trend of the monitoring data, etc.

[0113] In this embodiment, the link label is a specific identifier set for each ice-making link, which is used to distinguish and identify different ice-making links.

[0114] In this embodiment, the state table is set in advance to describe the changing state of the ice-making process and the data features corresponding to the changing state.

[0115] In this embodiment, the preset template library is set in advance and is used to store data format templates corresponding to labels of different links, so as to achieve effectiveness and accuracy in recording each ice-making link.

[0116] The working principle and beneficial effects of the above technical solution are: by triggering the status self-check start instruction, the functional parts of each ice-making link and the sensors of each ice-making link can be effectively linked, thereby ensuring that the sensors corresponding to each link can synchronously and effectively monitor the functional parts of the ice-making link; by using the sensor to monitor each ice-making link and determining the data characteristics of the monitoring data, the initial state data of each ice-making link can be effectively determined based on the state table, and then through the link label, the data template format can be effectively determined to achieve the generation of the sub-status report, and by determining the execution order of the ice-making link, the record report can be effectively obtained, effectively ensuring a comprehensive and detailed understanding of the status of each link when the ice-making machine is started, thereby effectively ensuring the accurate and efficient operation of the ice-making machine.

[0117] Embodiment 5:

[0118] Based on Example 1, this embodiment provides an ice-making machine intelligent control method. In step 2, when the initial state does not meet the ice-making demand, a first control instruction is generated, and the ice-making machine is controlled to adjust the state based on the first control instruction, including:

[0119] When the initial state does not meet the ice-making demand, the initial state of each ice-making link is read, and at the same time, the ice-making demand is read to determine the standard initial state of each ice-making link based on the ice-making demand;

[0120] Performing a first match between the initial state of each ice-making link and the standard initial state of each ice-making link, and marking the target ice-making link whose initial state does not match the corresponding standard initial state according to the first matching result;

[0121] The target ice-making link is extracted according to the labeling results, and the state difference between the initial state and the standard initial state is obtained;

[0122] Generate a first instruction element according to the state difference between the initial state and the standard initial state, and at the same time, read the link label of the target ice-making link and generate a second instruction element according to the link label;

[0123] Associating the first instruction element with the second instruction element to generate a third instruction element;

[0124] Acquire the target number of ice-making links, and when the target number of ice-making links is one, generate a first control instruction based on the third instruction element;

[0125] When the number of target ice-making links is greater than one, obtaining association relationships between the target ice-making links, and generating association instruction elements of a plurality of third instruction elements according to the association relationships;

[0126] synthesizing the plurality of third instruction elements and the associated instruction element to generate a fourth instruction element, and generating a first control instruction based on the fourth instruction element;

[0127] Constructing a virtual ice-making process of an ice-making machine in a computer and simulating an initial state of a target ice-making process, and at the same time, performing state control on the virtual ice-making process according to a first control instruction and obtaining a virtual control result;

[0128] Matching the virtual control results with ice making requirements;

[0129] If the virtual control result matches the ice-making demand, the ice-making machine is controlled to adjust the state of the corresponding target ice-making link based on the first control instruction;

[0130] Otherwise, the first control instruction is regenerated until the virtual control result matches the ice-making demand.

[0131] In this embodiment, the associated instruction element is the sequence of the current multiple target ice-making links.

[0132] In this embodiment, the standard initial state may be an initial state in which the ice-making process determined according to the ice-making demand can be started normally.

[0133] In this embodiment, the first instruction element is generated based on the state difference between the initial state and the standard initial state.

[0134] In this embodiment, the second instruction element is generated according to the link label.

[0135] In this embodiment, the third instruction element is the result of associating the first instruction element with the second instruction element.

[0136] In this embodiment, there are two ways to generate the first control instruction, wherein when the number of target ice-making links is one, the first control instruction is generated based on the third instruction element;

[0137] When the number of target ice-making links is greater than 1, a first control instruction is generated based on the fourth instruction element;

[0138] The fourth instruction element is an instruction element obtained by synthesizing the third instruction element and the associated instruction element;

[0139] And the associated instruction element refers to a connection instruction element between multiple third instruction elements generated according to the association relationship between the target ice-making links.

[0140] In this embodiment, the virtual control result is a result obtained after simulating the control of the virtual ice-making process in the computer based on the first control instruction.

[0141] The working principle and beneficial effects of the above technical scheme are: by determining the target ice-making link whose initial state does not match the corresponding standard initial state, the target ice-making link in which the initial state does not match the corresponding standard initial state is effectively determined, and then the first instruction element is effectively generated through the state difference between the initial state in the target ice-making link and the standard initial state, and the second instruction element is generated by determining the link label, and the third instruction element is effectively generated by associating the first instruction element with the second instruction element, and the generation result of the first control instruction is effectively determined by determining the number of target ice-making links, and the accuracy of the first control instruction is effectively guaranteed, and the accuracy of the generation of the first control instruction is effectively determined by linking the first control instruction to the virtual ice-making process for state control, and matching the virtual control result with the ice-making demand, thereby effectively determining the accuracy of the generation of the first control instruction, and thus providing effective guarantee for the generation of the first control instruction, thereby improving the intelligence and effectiveness of the ice-making machine control.

[0142] Embodiment 6:

[0143] Based on Example 5, this embodiment provides an intelligent control method for an ice-making machine, which controls the ice-making machine to adjust the state of the corresponding target ice-making link based on the first control instruction, and includes:

[0144] Based on the sensors corresponding to each ice-making link, the target state of each ice-making link after the state adjustment is collected;

[0145] Performing a second matching of the target state of each ice-making link with the corresponding standard initial state;

[0146] If the target state of each ice-making link in the second matching result matches the corresponding standard initial state, it is determined that the state adjustment is qualified;

[0147] Otherwise, it is determined that the state adjustment is unqualified, and the state adjustment is performed again on the unqualified ice-making link.

[0148] The working principle and beneficial effect of the above technical solution are: by matching the target state after state adjustment with the corresponding standard initial state, it is effectively determined whether the state adjustment is qualified, thereby ensuring the accuracy of the ice-making process and ensuring the smooth operation of the ice-making machine.

[0149] Embodiment 7:

[0150] Based on Example 1, this embodiment provides an intelligent control method for an ice maker. In step 3, the linkage control content includes:

[0151] Water tank water level control, water tank disinfection control, water flow direction control, ice making and ice pouring control.

[0152] Embodiment 8:

[0153] On the basis of Example 1, this embodiment provides an intelligent control method for an ice-making machine. In step 3, when the state adjustment result meets the ice-making demand, a second control instruction set is generated, and each ice-making link is linked and controlled in sequence based on the ice-making process according to the second control instruction set, including:

[0154] When the state adjustment result meets the ice-making demand, the second control instruction set is triggered based on the control terminal, and the second control instruction set is read to determine the control object corresponding to each second control instruction in the second control instruction set;

[0155] Read the ice-making process, and determine the control priority weight of the control object according to the process sequence of the ice-making process; sort the multiple second control instructions in the second control instruction set according to the control priority weight to obtain a linkage control strategy;

[0156] Based on the linkage control strategy, the second control instruction set is mobilized to perform linkage control on each ice-making link in sequence based on the ice-making process.

[0157] In this embodiment, the linkage control strategy refers to the execution order and coordination mode of a series of control instructions formulated according to the ice-making process and the priority weights of each control object. It is used to coordinate and arrange multiple ice-making links to be linked and controlled according to a specific logic and sequence, so as to achieve the purpose of completing the ice-making process efficiently and accurately. Through this strategy, each ice-making link can cooperate and influence each other to jointly achieve the goal of ice-making, and the control method and rhythm can be flexibly adjusted according to actual conditions.

[0158] The working principle and beneficial effect of the above technical solution are: when the state adjustment result meets the ice-making demand, the second control instruction set is triggered from the control terminal. At the same time, the control object corresponding to each second control instruction is clarified, and then the priority weight of the control object is determined according to the ice-making process, and the second control instructions are sorted to form a linkage control strategy. Finally, the linkage control of each ice-making link according to the process is realized according to the linkage control strategy, which can enable the various links of the ice-making machine to operate in a reasonable order and priority, ensure the ice-making process is efficient and orderly, improve the ice-making efficiency and quality, and also better adapt to different ice-making needs and states.

[0159] Embodiment 9:

[0160] Based on Example 1, this embodiment provides an ice making machine intelligent control method. In step 3, after the ice making operation is completed, the method includes:

[0161] Obtain ice making parameters for completing the ice making operation, and generate a target ice making report for this ice making operation according to the ice making parameters;

[0162] Input the target ice-making report into the preset ice-making report set for matching, and determine whether there is an ice-making report consistent with the target ice-making report in the preset ice-making report set;

[0163] When there is an ice-making report in the preset ice-making report set that is consistent with the target ice-making report, the preset ice-making report set is not updated;

[0164] Otherwise, the preset report set is updated;

[0165] When there is a new ice-making task, matching is performed in a preset report set according to the ice-making task, and when there is an ice-making report consistent with the new ice-making task, a control strategy is generated according to the ice-making report consistent with the new ice-making task;

[0166] The ice-making machine is controlled according to the control strategy to perform ice-making operation based on the new ice-making task.

[0167] In this embodiment, the ice-making parameter may be data generated when the ice-making operation is completed.

[0168] In this embodiment, the preset ice-making report set may be set in advance and used to store target ice-making reports corresponding to all ice-making operations.

[0169] The working principle and beneficial effects of the above technical solution are: the target ice-making report of this ice-making operation is generated through ice-making parameters, which is then matched with the preset ice-making report set, effectively determining whether the preset report set needs to be updated, and ensuring the unity and accuracy of the preset report set, thereby providing a reference and optimization basis for subsequent similar ice-making tasks, which helps to improve the efficiency and quality of ice-making, and can also achieve certain intelligent and automated control, reduce repetitive settings and debugging work, and improve overall work efficiency.

[0170] Embodiment 10:

[0171] This embodiment provides an intelligent control system for an ice maker. Figure 3 As shown, including:

[0172] A self-check module is used to monitor the triggering state of the ice maker and, after the ice-making start function is triggered, to perform a self-check on the ice maker to obtain the initial state of each ice-making link of the ice maker;

[0173] A state adjustment module, used for generating a first control instruction when the initial state does not meet the ice-making demand, and controlling the ice-making machine to adjust the state based on the first control instruction;

[0174] The ice-making control module is used to obtain a second control instruction set when the state adjustment result meets the ice-making demand, and to control each ice-making link in sequence according to the second control instruction set based on the ice-making process until the ice-making operation is completed.

[0175] The working principle and beneficial effects of the above technical solution are as follows: after the ice maker is successfully triggered, the ice maker is firstly self-checked to achieve effective judgment on whether the ice maker meets the ice-making demand based on the initial state of each ice-making link of the ice maker obtained by the self-check, thereby providing a premise and guarantee for effective ice-making control; secondly, when the initial state does not meet the ice-making demand, the ice maker is controlled to adjust its state by generating a first control instruction, thereby ensuring the operation effect of the ice maker and improving the control intelligence and reliability of the ice maker; finally, when the state meets the ice-making demand, the ice-making link is linked and controlled by the generated second control instruction set, thereby achieving effective control and management of the ice maker, improving the ice-making efficiency and quality, and greatly improving the intelligent control effect of the ice maker.

[0176] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent control method for an ice making machine, characterized in that: include: Step 1: Monitor the triggering state of the ice maker, and after the ice making start function is triggered, perform a state self-check on the ice maker to obtain the initial state of each ice making link of the ice maker; Step 2: When the initial state does not meet the ice-making demand, a first control instruction is generated, and the ice-making machine is controlled to adjust the state based on the first control instruction; Step 3: When the state adjustment result meets the ice-making demand, a second control instruction set is obtained, and each ice-making link is linked and controlled in sequence according to the second control instruction set based on the ice-making process until the ice-making operation is completed.

2. The ice making machine intelligent control method according to claim 1, characterized in that: In step 1, the triggering status of the ice maker is monitored, including: Collecting touch data on the ice maker operation panel, identifying the touch data on the ice maker operation panel, and determining an execution target of the touch data; Extracting keywords of the execution target, matching the keywords of the execution target in a preset program library, and determining a trigger program matching the execution target according to the matching result; The triggering state of the ice maker is determined according to the triggering program. Meanwhile, when the triggering state is the ice making on function, the ice maker is self-checked.

3. The ice making machine intelligent control method according to claim 2, characterized in that: The triggering state includes: ice maker standby state and ice maker ice making function start state.

4. The ice making machine intelligent control method according to claim 1, characterized in that: In step 1, after the ice-making start function is triggered, the ice-making machine is self-checked to obtain the initial state of each ice-making link of the ice-making machine, including: When the ice-making function is triggered, the status self-check start command is triggered; According to the status self-check start instruction, the functional parts of each ice-making link and the sensors of each ice-making link are controlled to be linked, and the functional parts of each ice-making link and the corresponding sensors of each ice-making link are started synchronously; After the synchronous start operation is completed, the monitoring data of each ice-making link is monitored based on the sensors corresponding to each ice-making link; Read the monitoring data of each ice-making link, determine the data characteristics of the monitoring data in each ice-making link, and at the same time, retrieve the status table corresponding to each ice-making link; Match the data characteristics of the monitoring data in each ice-making link with the state table corresponding to each ice-making link to determine the initial state data of each ice-making link; Construct a link label for each ice-making link, and retrieve a data format template from a preset template library according to the link label for each ice-making link; The initial status data of each ice-making link is recorded in the corresponding data format template, and the corresponding sub-status report of each ice-making link is determined according to the recording results; The execution order of the ice-making links is obtained, and the sub-status reports are sorted and integrated according to the execution order to generate a record report of the initial status of each ice-making link of the ice-making machine.

5. The ice making machine intelligent control method according to claim 1, characterized in that: In step 2, when the initial state does not meet the ice-making demand, a first control instruction is generated, and the ice-making machine is controlled to adjust the state based on the first control instruction, including: When the initial state does not meet the ice-making demand, the initial state of each ice-making link is read, and at the same time, the ice-making demand is read to determine the standard initial state of each ice-making link based on the ice-making demand; Performing a first match between the initial state of each ice-making link and the standard initial state of each ice-making link, and marking the target ice-making link whose initial state does not match the corresponding standard initial state according to the first matching result; The target ice-making link is extracted according to the labeling results, and the state difference between the initial state and the standard initial state is obtained; Generate a first instruction element according to the state difference between the initial state and the standard initial state, and at the same time, read the link label of the target ice-making link and generate a second instruction element according to the link label; Associating the first instruction element with the second instruction element to generate a third instruction element; Acquire the target number of ice-making links, and when the target number of ice-making links is one, generate a first control instruction based on the third instruction element; When the number of target ice-making links is greater than one, obtaining association relationships between the target ice-making links, and generating association instruction elements of a plurality of third instruction elements according to the association relationships; synthesizing the plurality of third instruction elements and the associated instruction element to generate a fourth instruction element, and generating a first control instruction based on the fourth instruction element; Constructing a virtual ice-making process of the ice-making machine in a computer and simulating the initial state of the target ice-making link, and at the same time, performing state control on the virtual ice-making process according to the first control instruction and obtaining a virtual control result; Matching the virtual control results with ice making requirements; If the virtual control result matches the ice-making demand, the ice-making machine is controlled to adjust the state of the corresponding target ice-making link based on the first control instruction; Otherwise, the first control instruction is regenerated until the virtual control result matches the ice-making demand.

6. The ice making machine intelligent control method according to claim 5, characterized in that: After the ice-making machine is controlled to adjust the state of the corresponding target ice-making link based on the first control instruction, the method includes: Based on the sensors corresponding to each ice-making link, the target state of each ice-making link after the state adjustment is collected; Performing a second matching of the target state of each ice-making link with the corresponding standard initial state; If the target state of each ice-making link in the second matching result matches the corresponding standard initial state, it is determined that the state adjustment is qualified; Otherwise, it is determined that the state adjustment is unqualified, and the state adjustment is performed again on the unqualified ice-making link.

7. The ice making machine intelligent control method according to claim 1, characterized in that: In step 3, the linkage control content includes: Water tank water level control, water tank disinfection control, water flow direction control, ice making and ice pouring control.

8. The ice making machine intelligent control method according to claim 1, characterized in that: In step 3, when the state adjustment result meets the ice-making demand, a second control instruction set is generated, and each ice-making link is linked and controlled in sequence based on the ice-making process according to the second control instruction set, including: When the state adjustment result meets the ice-making demand, the second control instruction set is triggered based on the control terminal, and the second control instruction set is read to determine the control object corresponding to each second control instruction in the second control instruction set; Read the ice-making process, and determine the control priority weight of the control object according to the process sequence of the ice-making process; Sort the plurality of second control instructions in the second control instruction set according to the control priority weight to obtain a linkage control strategy; Based on the linkage control strategy, the second control instruction set is mobilized to perform linkage control on each ice-making link in sequence based on the ice-making process.

9. The ice making machine intelligent control method according to claim 1, characterized in that: In step 3, after the ice making operation is completed, the following steps are performed: Obtain ice making parameters for completing the ice making operation, and generate a target ice making report for this ice making operation according to the ice making parameters; Input the target ice-making report into the preset ice-making report set for matching, and determine whether there is an ice-making report consistent with the target ice-making report in the preset ice-making report set; When there is an ice-making report in the preset ice-making report set that is consistent with the target ice-making report, the preset ice-making report set is not updated; Otherwise, the preset report set is updated; When there is a new ice-making task, matching is performed in a preset report set according to the ice-making task, and when there is an ice-making report consistent with the new ice-making task, a control strategy is generated according to the ice-making report consistent with the new ice-making task; The ice-making machine is controlled according to the control strategy to perform ice-making operation based on the new ice-making task.

10. An intelligent control system for an ice machine, characterized in that: include: A self-check module is used to monitor the triggering state of the ice maker and, after the ice-making start function is triggered, to perform a self-check on the ice maker to obtain the initial state of each ice-making link of the ice maker; A state adjustment module, used for generating a first control instruction when the initial state does not meet the ice-making demand, and controlling the ice-making machine to adjust the state based on the first control instruction; The ice-making control module is used to obtain a second control instruction set when the state adjustment result meets the ice-making demand, and to control each ice-making link in sequence according to the second control instruction set based on the ice-making process until the ice-making operation is completed.

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