Intelligent control method of environmentally friendly refrigerator based on Internet of Things data collection

Abstract

The present invention belongs to the field of refrigerator control and relates to data analysis technology, which is used to solve the problem that the prior art cannot set the operating parameters of the compressor to the optimal values. Specifically, it is an intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection, which comprises the following steps: marking the environmentally friendly refrigerator as a test object, generating a number of test cycles of equal duration, and allocating corresponding adjustment parameters to the test cycles; obtaining the air temperature value of the test object in real time during the test cycle and marking it as an air temperature value, retrieving the energy-saving temperature range of the test object, determining whether the air temperature value is within the energy-saving temperature range, and controlling the operation of the compressor according to the determination result; the present invention can set the compressor operating parameters of the refrigerator according to the priority parameters, so that the energy consumption of the refrigerator under temperature control and constant temperature storage state is effectively controlled, and at the same time, the starting frequency of the compressor is limited to reduce the probability of its operating failure.

Description

Technical Field

[0001] The present invention belongs to the field of refrigerator control and relates to data analysis technology, in particular to an intelligent control method for an environmentally friendly refrigerator based on Internet of Things data collection. Background Art

[0002] The energy-saving temperature range of refrigerators is usually between 0℃ and 10℃. Within this temperature range, refrigerators can effectively maintain the freshness of food while reducing energy consumption and achieving energy-saving effects. By reasonably adjusting the temperature and adopting energy-saving techniques, the energy consumption of refrigerators can be effectively reduced to achieve the purpose of energy saving.

[0003] The environmentally friendly refrigerator intelligent control method in the prior art performs a refrigeration and constant temperature test on the refrigerator, resulting in the inability to set the operating parameters of the compressor to the optimal values, and the control frequency and energy consumption status of the internal temperature of the refrigerator cannot be optimized; at the same time, it is impossible to generate corresponding operation monitoring standard parameters in combination with the test data, resulting in the inability to perform fault diagnosis and analysis when the refrigerator operates abnormally, and the efficiency of abnormal handling is low.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent control method for an environmentally friendly refrigerator based on Internet of Things data collection, which is used to solve the problem that the operating parameters of the compressor cannot be set to the optimal value in the prior art;

[0006] The technical problem to be solved by the present invention is: how to provide an intelligent control method for an environmentally friendly refrigerator based on Internet of Things data collection, which can set the operating parameters of the compressor to optimal values.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] The intelligent control method of environmentally friendly refrigerator based on Internet of Things data collection includes the following steps:

[0009] Step S1: Refrigeration control test and analysis of the environmentally friendly refrigerator:

[0010] Step S11: marking the environmentally friendly refrigerator as a test object, generating a number of test cycles of equal duration, and assigning corresponding adjustment parameters to the test cycles;

[0011] Step S12: obtaining the air temperature value of the test object in real time during the test period and marking it as the air temperature value, retrieving the energy-saving temperature range of the test object, determining whether the air temperature value is within the energy-saving temperature range, and controlling the operation of the compressor according to the determination result;

[0012] Step S13: at the end of the test cycle, the power consumption and the number of adjustment periods of the compressor of the test object in the test cycle are obtained and marked as energy consumption value and frequency modulation value respectively, and the priority value of the test cycle is obtained through the energy consumption value and the frequency modulation value, and the adjustment parameter corresponding to the test cycle with the smallest priority value is marked as the priority parameter;

[0013] Step S2: Perform energy-saving refrigeration control on the environmentally friendly refrigerator: generate a control cycle, the duration of the control cycle is equal to the duration of the test cycle, obtain the air temperature value of the test object in real time during the control cycle and mark it as the air temperature value, when the air temperature value exceeds the energy-saving temperature range, set the compressor operating power and operating time of the test object to the adjustment power and adjustment time in the priority parameters respectively;

[0014] Step S3: monitor and analyze the operating status of the environmentally friendly refrigerator.

[0015] Further, in step S11, the adjustment parameters include adjustment power and adjustment duration, the adjustment power is randomly selected from a power range, and the adjustment duration is randomly selected from a duration range.

[0016] Further, in step S12, it is determined whether the air temperature value is within the energy-saving temperature range: if so, no processing is performed; if not, the operating power and operating duration of the compressor of the test object are set to the adjustment power and adjustment duration respectively; the period of compressor operation is marked as the adjustment period; the interval period between any two adjacent adjustment periods is marked as the constant temperature period.

[0017] Further, in step S13, the process of obtaining the priority value of the test cycle includes: arranging the test cycles in order of energy consumption values ​​from small to large to obtain an energy consumption sequence, arranging the test cycles in order of frequency modulation values ​​from small to large to obtain a frequency modulation sequence, and marking the sum of the sequence number of the test cycle in the energy consumption sequence and the sequence number in the frequency modulation sequence as the priority value of the test cycle.

[0018] Furthermore, in step S3, the specific process of monitoring and analyzing the operating status of the environmentally friendly refrigerator includes:

[0019] Step S31: obtaining a constant temperature monitoring threshold of the test object;

[0020] Step S32: obtaining the adjustment monitoring threshold of the test object; the constant temperature monitoring threshold and the adjustment monitoring threshold constitute the monitoring standard parameter of the test object;

[0021] Step S33: monitor and analyze the constant temperature state of the test object: mark the period of operation of the compressor of the test object within the control period as the control period, mark the interval period between any two adjacent control periods as the continuous period, mark the duration of the continuous period as the constant temperature monitoring value at the end of the continuous period, and compare the constant temperature monitoring value with the constant temperature monitoring threshold: if the constant temperature monitoring value is greater than or equal to the constant temperature monitoring threshold, it is determined that the constant temperature state of the test object meets the requirements; if the constant temperature monitoring value is less than the constant temperature monitoring threshold, it is determined that the constant temperature state of the test object does not meet the requirements, and step S34 is executed;

[0022] Step S34: Analyze the influencing factors of the constant temperature state of the test object.

[0023] Further, in step S31, the process of obtaining the constant temperature monitoring threshold of the test object includes: forming a constant temperature set by the duration values ​​of all constant temperature time periods in the test cycle corresponding to the priority parameter, performing variance calculation on the constant temperature set to obtain a constant temperature effective coefficient, and comparing the constant temperature effective coefficient with a preset constant temperature effective threshold: if the constant temperature effective coefficient is less than the constant temperature effective threshold, the minimum element in the constant temperature set is marked as the constant temperature monitoring threshold; if the constant temperature effective coefficient is greater than or equal to the constant temperature effective threshold, the maximum element and the minimum element in the constant temperature set are eliminated, and then the constant temperature effective coefficient of the constant temperature set is recalculated, and so on, until the constant temperature effective coefficient is less than the constant temperature effective threshold.

[0024] Further, in step S32, the process of obtaining the adjustment monitoring threshold of the test object includes: marking the value of the air temperature value of the test object at the end of the adjustment period as the adjustment monitoring value of the adjustment period, forming an adjustment set by the adjustment monitoring values ​​of all adjustment periods in the test cycle corresponding to the priority parameter, performing variance calculation on the adjustment set to obtain the adjustment effectiveness coefficient, and comparing the adjustment effectiveness coefficient with the preset adjustment effectiveness threshold: if the adjustment effectiveness coefficient is less than the adjustment effectiveness threshold, marking the maximum value in the adjustment set as the adjustment monitoring threshold; if the adjustment effectiveness coefficient is greater than or equal to the adjustment effectiveness threshold, eliminating the maximum element and the minimum element in the adjustment set, and then recalculating the adjustment effectiveness coefficient of the adjustment set, and so on, until the adjustment effectiveness coefficient is less than the adjustment effectiveness threshold.

[0025] Further, in step S34, the specific process of analyzing the influencing factors of the constant temperature state of the test object includes: retrieving the air temperature value of the test object at the beginning of the continuous period and marking it as the adjustment analysis value, and comparing the adjustment analysis value with the adjustment monitoring threshold: if the adjustment analysis value is less than the adjustment monitoring threshold, it is determined that the constant temperature state of the test object is affected by cold air leakage, and a cabinet maintenance signal is generated and sent to the mobile phone terminal of the administrator; if the adjustment analysis value is greater than or equal to the adjustment monitoring threshold, it is determined that the constant temperature state of the test object is affected by abnormal operation of the compressor, and a refrigeration maintenance signal is generated and sent to the mobile phone terminal of the administrator.

[0026] The present invention has the following beneficial effects:

[0027] 1. The priority parameters of the refrigerator can be obtained by testing and analyzing the refrigeration control of the environmentally friendly refrigerator. The operating parameters of the refrigerator compressor can be set according to the priority parameters, so that the energy consumption of the refrigerator under temperature control and constant temperature storage can be effectively controlled, and the starting frequency of the compressor can be limited to reduce the probability of its operating failure;

[0028] 2. Through energy-saving refrigeration control of environmentally friendly refrigerators, the compressor on / off control can be performed under standard parameters to ensure that the temperature in the refrigerator is kept within the energy-saving temperature range, while improving the adaptability of the compressor on / off control and the temperature control space, thereby reducing energy consumption overall;

[0029] 3. By monitoring and analyzing the operating status of the environmentally friendly refrigerator, the monitoring standard parameters can be obtained. The constant temperature state can be evaluated by combining the compressor operating parameters of the environmentally friendly refrigerator with the monitoring standard parameters. When the constant temperature state is abnormal, the abnormal factors can be directly screened to improve the efficiency of handling abnormal operations of the environmentally friendly refrigerator. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 This is a flow chart of the overall method of Embodiment 1 of the present invention;

[0032] Figure 2 This is a flow chart of a method for performing refrigeration control test and analysis on an environmentally friendly refrigerator in Embodiment 1 of the present invention;

[0033] Figure 3This is a flow chart of a method for monitoring and analyzing the operating status of an environmentally friendly refrigerator in Embodiment 1 of the present invention;

[0034] Figure 4 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Embodiment 1: Figure 1-3 As shown, the intelligent control method of the environmentally friendly refrigerator based on the Internet of Things data collection includes the following steps:

[0037] Step S1: Perform refrigeration control test and analysis on the environmentally friendly refrigerator, set the compressor operating parameters of the refrigerator according to the priority parameters, so that the energy consumption of the refrigerator under temperature control and constant temperature storage is effectively controlled, and at the same time limit the start-up frequency of the compressor to reduce the probability of its operating failure:

[0038] Step S11: marking the environmentally friendly refrigerator as a test object, generating a number of test cycles of equal duration, and assigning corresponding adjustment parameters to the test cycles, the adjustment parameters including adjustment power and adjustment duration, the adjustment power is randomly selected from the power range, and the adjustment duration is randomly selected from the duration range;

[0039] Step S12: During the test period, the air temperature value of the test object is obtained in real time and marked as the air temperature value, the energy-saving temperature range of the test object is retrieved, and it is determined whether the air temperature value is within the energy-saving temperature range: if so, no processing is performed; if not, the operating power and operating duration of the compressor of the test object are set to the adjustment power and adjustment duration respectively; the period of compressor operation is marked as the adjustment period; the interval period between any two adjacent adjustment periods is marked as the constant temperature period; the energy-saving temperature range is usually set to 0℃-10℃. Within this temperature range, the refrigerator can effectively maintain the freshness of food while reducing energy consumption to achieve energy-saving effects.

[0040] Step S13: at the end of the test cycle, the power consumption and the number of adjustment time periods of the compressor of the test object in the test cycle are obtained and marked as energy consumption values ​​and frequency modulation values ​​respectively, the test cycles are arranged in order from small to large according to the energy consumption values ​​to obtain an energy consumption sequence, the test cycles are arranged in order from small to large according to the frequency modulation values ​​to obtain a frequency modulation sequence, the sum of the sequence number of the test cycle in the energy consumption sequence and the sequence number in the frequency modulation sequence is marked as the priority value of the test cycle, and the adjustment parameter corresponding to the test cycle with the smallest priority value is marked as the priority parameter;

[0041] Step S2: Energy-saving refrigeration control of the environmentally friendly refrigerator: generate a control cycle, the duration of the control cycle is equal to the duration of the test cycle, the air temperature value of the test object is obtained in real time during the control cycle and marked as the air temperature value, when the air temperature value exceeds the energy-saving temperature range, the compressor operating power and operating time of the test object are respectively set to the adjustment power and adjustment time in the priority parameters; the compressor is started and closed under standard parameters to ensure that the temperature in the refrigerator is kept within the energy-saving temperature range, while improving the adaptability of the compressor start and stop control and the temperature control space, thereby reducing energy consumption as a whole;

[0042] Step S3: Monitor and analyze the operating status of the environmentally friendly refrigerator. Combined with the compressor operating parameters of the environmentally friendly refrigerator and the monitoring standard parameters, the constant temperature status can be evaluated. When the constant temperature status is abnormal, the abnormal factors can be directly screened to improve the efficiency of handling abnormal operation of the environmentally friendly refrigerator:

[0043] Step S31: A constant temperature set is formed by the duration values ​​of all constant temperature time periods in the test cycle corresponding to the priority parameter, and the variance of the constant temperature set is calculated to obtain a constant temperature effective coefficient, and the constant temperature effective coefficient is compared with a preset constant temperature effective threshold: if the constant temperature effective coefficient is less than the constant temperature effective threshold, the minimum element in the constant temperature set is marked as the constant temperature monitoring threshold; if the constant temperature effective coefficient is greater than or equal to the constant temperature effective threshold, the maximum element and the minimum element in the constant temperature set are eliminated, and then the constant temperature effective coefficient of the constant temperature set is recalculated, and so on, until the constant temperature effective coefficient is less than the constant temperature effective threshold;

[0044] Step S32: Mark the value of the air temperature value of the test object at the end of the adjustment period as the adjustment monitoring value of the adjustment period, and form an adjustment set by the adjustment monitoring values ​​of all adjustment periods in the test cycle corresponding to the priority parameter, perform variance calculation on the adjustment set to obtain the adjustment effectiveness coefficient, and compare the adjustment effectiveness coefficient with the preset adjustment effectiveness threshold: if the adjustment effectiveness coefficient is less than the adjustment effectiveness threshold, mark the maximum value in the adjustment set as the adjustment monitoring threshold; if the adjustment effectiveness coefficient is greater than or equal to the adjustment effectiveness threshold, remove the maximum element and the minimum element in the adjustment set, and then recalculate the adjustment effectiveness coefficient of the adjustment set, and so on, until the adjustment effectiveness coefficient is less than the adjustment effectiveness threshold; the constant temperature monitoring threshold and the adjustment monitoring threshold constitute the monitoring standard parameters of the test object;

[0045] Step S33: monitor and analyze the constant temperature state of the test object: mark the period of operation of the compressor of the test object within the control period as the control period, mark the interval period between any two adjacent control periods as the continuous period, mark the duration of the continuous period as the constant temperature monitoring value at the end of the continuous period, and compare the constant temperature monitoring value with the constant temperature monitoring threshold: if the constant temperature monitoring value is greater than or equal to the constant temperature monitoring threshold, it is determined that the constant temperature state of the test object meets the requirements; if the constant temperature monitoring value is less than the constant temperature monitoring threshold, it is determined that the constant temperature state of the test object does not meet the requirements, and step S34 is executed;

[0046] Step S34: Analyze the influencing factors of the constant temperature state of the test object: retrieve the air temperature value of the test object at the beginning of the continuous period and mark it as the adjustment analysis value, and compare the adjustment analysis value with the adjustment monitoring threshold: if the adjustment analysis value is less than the adjustment monitoring threshold, it is determined that the constant temperature state of the test object is affected by cold air leakage, indicating that the internal temperature of the refrigerator meets the requirements at the end of the control period, that is, there is cold air leakage during the continuous period, and it is necessary to monitor and verify the sealing of the refrigerator, generate a cabinet maintenance signal and send the cabinet maintenance signal to the mobile phone terminal of the administrator; if the adjustment analysis value is greater than or equal to the adjustment monitoring threshold, it is determined that the constant temperature state of the test object is affected by abnormal operation of the compressor, indicating that the internal temperature of the refrigerator does not meet the requirements at the end of the control period, and the compressor does not control the internal temperature of the refrigerator within the target range, so it is necessary to monitor and verify the performance of the compressor of the refrigerator, generate a refrigeration maintenance signal and send the refrigeration maintenance signal to the mobile phone terminal of the administrator; the monitoring standard of the control process is derived from the test data, and the operation status monitoring and troubleshooting can be performed while controlling the energy consumption of the equipment.

[0047] Embodiment 2: Figure 4 As shown, the intelligent control system of the environmentally friendly refrigerator based on the data collection of the Internet of Things includes an intelligent control platform, and the intelligent control platform is communicatively connected with a test and analysis module, a refrigeration control module, a monitoring and analysis module and a database.

[0048] The test and analysis module is used to perform refrigeration control test and analysis on the environmentally friendly refrigerator and obtain priority parameters, and send the priority parameters to the refrigeration control module through the intelligent control platform.

[0049] The refrigeration control module is used to perform energy-saving refrigeration control on the environmentally friendly refrigerator according to priority parameters.

[0050] The monitoring and analysis module is used to monitor and analyze the operating status of the environmentally friendly refrigerator, and to analyze the influencing factors of the constant temperature state of the test object when the constant temperature state does not meet the requirements.

[0051] The intelligent control method of environmentally friendly refrigerators based on data collection of the Internet of Things performs refrigeration control test and analysis on the environmentally friendly refrigerators during operation, sets the compressor operating parameters of the refrigerators according to the priority parameters, effectively controls the energy consumption of the refrigerators under temperature control and constant temperature storage, generates a control cycle, and the duration of the control cycle is equal to the duration of the test cycle. The air temperature value of the test object is obtained in real time during the control cycle and marked as the air temperature value. When the air temperature value exceeds the energy-saving temperature range, the compressor operating power and operating duration of the test object are set to the adjustment power and adjustment duration in the priority parameters respectively; the monitoring standard parameters of the test object are obtained, the period of operation of the compressor of the test object within the control cycle is marked as the control period, and the interval period between any two adjacent control periods is marked as the continuous period. The constant temperature state is evaluated according to the constant temperature monitoring value and the adjustment analysis value of the continuous period, and the influencing factors are analyzed when the constant temperature state does not meet the requirements.

[0052] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0053] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0054] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection, characterized in that: The following steps are involved: Step S1: Refrigeration control test and analysis of the environmentally friendly refrigerator: Step S11: marking the environmentally friendly refrigerator as a test object, generating a number of test cycles of equal duration, and assigning corresponding adjustment parameters to the test cycles; Step S12: obtaining the air temperature value of the test object in real time during the test period and marking it as the air temperature value, retrieving the energy-saving temperature range of the test object, determining whether the air temperature value is within the energy-saving temperature range, and controlling the operation of the compressor according to the determination result; Step S13: at the end of the test cycle, the power consumption and the number of adjustment periods of the compressor of the test object in the test cycle are obtained and marked as energy consumption value and frequency modulation value respectively, and the priority value of the test cycle is obtained through the energy consumption value and the frequency modulation value, and the adjustment parameter corresponding to the test cycle with the smallest priority value is marked as the priority parameter; Step S2: Perform energy-saving refrigeration control on the environmentally friendly refrigerator: generate a control cycle, the duration of the control cycle is equal to the duration of the test cycle, obtain the air temperature value of the test object in real time during the control cycle and mark it as the air temperature value, when the air temperature value exceeds the energy-saving temperature range, set the compressor operating power and operating time of the test object to the adjustment power and adjustment time in the priority parameters respectively; Step S3: monitoring and analyzing the operating status of the environmentally friendly refrigerator; In step S13, the process of obtaining the priority value of the test cycle includes: arranging the test cycles in order of energy consumption values ​​from small to large to obtain an energy consumption sequence, arranging the test cycles in order of frequency modulation values ​​from small to large to obtain a frequency modulation sequence, and marking the sum of the sequence number of the test cycle in the energy consumption sequence and the sequence number in the frequency modulation sequence as the priority value of the test cycle.

2. The intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection according to claim 1 is characterized in that: In step S11, the adjustment parameters include adjustment power and adjustment duration, the adjustment power is randomly selected from a power range, and the adjustment duration is randomly selected from a duration range.

3. The intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection according to claim 2 is characterized in that: In step S12, determine whether the air temperature value is within the energy-saving temperature range: if so, no processing is performed; if not, the operating power and operating duration of the compressor of the test object are set to the adjustment power and adjustment duration respectively; the period of compressor operation is marked as the adjustment period; the interval period between any two adjacent adjustment periods is marked as the constant temperature period.

4. The intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection according to claim 3 is characterized in that: In step S3, the specific process of monitoring and analyzing the operating status of the environmentally friendly refrigerator includes: Step S31: obtaining a constant temperature monitoring threshold of the test object; Step S32: obtaining the adjustment monitoring threshold of the test object; the constant temperature monitoring threshold and the adjustment monitoring threshold constitute the monitoring standard parameter of the test object; Step S33: monitor and analyze the constant temperature state of the test object: mark the period of operation of the compressor of the test object within the control period as the control period, mark the interval period between any two adjacent control periods as the continuous period, mark the duration of the continuous period as the constant temperature monitoring value at the end of the continuous period, and compare the constant temperature monitoring value with the constant temperature monitoring threshold: if the constant temperature monitoring value is greater than or equal to the constant temperature monitoring threshold, it is determined that the constant temperature state of the test object meets the requirements; if the constant temperature monitoring value is less than the constant temperature monitoring threshold, it is determined that the constant temperature state of the test object does not meet the requirements, and step S34 is executed; Step S34: Analyze the influencing factors of the constant temperature state of the test object.

5. The intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection according to claim 4 is characterized in that: In step S31, the process of obtaining the constant temperature monitoring threshold of the test object includes: forming a constant temperature set by the duration values ​​of all constant temperature time periods in the test cycle corresponding to the priority parameter, performing variance calculation on the constant temperature set to obtain a constant temperature effective coefficient, and comparing the constant temperature effective coefficient with the preset constant temperature effective threshold: if the constant temperature effective coefficient is less than the constant temperature effective threshold, the minimum element in the constant temperature set is marked as the constant temperature monitoring threshold; if the constant temperature effective coefficient is greater than or equal to the constant temperature effective threshold, the maximum element and the minimum element in the constant temperature set are eliminated, and then the constant temperature effective coefficient of the constant temperature set is recalculated, and so on, until the constant temperature effective coefficient is less than the constant temperature effective threshold.

6. The intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection according to claim 5 is characterized in that: In step S32, the process of obtaining the adjustment monitoring threshold of the test object includes: marking the value of the air temperature value of the test object at the end of the adjustment period as the adjustment monitoring value of the adjustment period, forming an adjustment set by the adjustment monitoring values ​​of all adjustment periods in the test cycle corresponding to the priority parameter, performing variance calculation on the adjustment set to obtain the adjustment effectiveness coefficient, and comparing the adjustment effectiveness coefficient with the preset adjustment effectiveness threshold: if the adjustment effectiveness coefficient is less than the adjustment effectiveness threshold, marking the maximum value in the adjustment set as the adjustment monitoring threshold; if the adjustment effectiveness coefficient is greater than or equal to the adjustment effectiveness threshold, eliminating the maximum element and the minimum element in the adjustment set, and then recalculating the adjustment effectiveness coefficient of the adjustment set, and so on, until the adjustment effectiveness coefficient is less than the adjustment effectiveness threshold.

7. The intelligent control method for environmentally friendly refrigerators based on Internet of Things data collection according to claim 6 is characterized in that: In step S34, the specific process of analyzing the influencing factors of the constant temperature state of the test object includes: retrieving the air temperature value of the test object at the beginning of the continuous period and marking it as the adjustment analysis value, and comparing the adjustment analysis value with the adjustment monitoring threshold: if the adjustment analysis value is less than the adjustment monitoring threshold, it is determined that the constant temperature state of the test object is affected by cold air leakage, and a cabinet maintenance signal is generated and sent to the mobile phone terminal of the administrator; if the adjustment analysis value is greater than or equal to the adjustment monitoring threshold, it is determined that the constant temperature state of the test object is affected by abnormal operation of the compressor, and a refrigeration maintenance signal is generated and sent to the mobile phone terminal of the administrator.

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