Refrigerated cabinet energy consumption control system and method based on Internet of Things

Abstract

The invention relates to the field of energy consumption control, aims to solve the problems that energy consumption of a refrigerated cabinet is easy to change and is not easy to find, a large amount of energy is wasted, and energy conservation and emission reduction are not facilitated, and particularly relates to a refrigerated cabinet energy consumption control system and method based on the Internet of Things. Comprising a temperature loss monitoring unit, an environment monitoring unit, a refrigeration management and control unit, an energy consumption judgment unit and an energy consumption control unit. According to the method, various parameters of the refrigerated cabinet are analyzed during operation of the refrigerated cabinet, the ideal energy consumption of the refrigerated cabinet in the design state is obtained according to different parameters, and the ideal energy consumption is compared with the actual energy consumption, so that whether the actual energy consumption of the refrigerated cabinet meets the normal operation standard or not is obtained; therefore, when the energy consumption of the refrigerated cabinet is abnormal, a manager is reminded in time, the refrigerated cabinet is prevented from maintaining high-energy-consumption operation for a long time, meanwhile, when the refrigerated cabinet is abnormal, specific reasons of the abnormal energy consumption of the refrigerated cabinet are analyzed, the manager is assisted in troubleshooting the reasons, and the maintenance and overhaul speed is increased.

Description

Technical Field

[0001] The present invention relates to the field of energy consumption control, and in particular to an energy consumption control system and method for a refrigerator based on the Internet of Things. Background Art

[0002] A refrigerator is a device used to store and maintain low temperatures. It is usually used to refrigerate and freeze food, medicine, chemicals, and other items that need to be stored at low temperatures. The main features and uses of refrigerators include: temperature control, food preservation, medical use, and household use. The design of a refrigerator usually includes insulation materials, compressors, cooling systems, temperature controllers, and storage space. Different types of refrigerators have different characteristics and additional functions to meet the needs of different applications.

[0003] At present, there are still some shortcomings in the refrigerators in the prior art. In some large refrigerators, the energy consumption cost is relatively huge. However, the existing refrigerators generally only calibrate the energy consumption of the refrigerators when they leave the factory or are designed. In actual use, due to the application environment, equipment failure or aging and other problems, the energy consumption of the refrigerators will change relative to the design value, resulting in excessive energy consumption of the refrigerators, which greatly increases the operating costs and is not conducive to energy conservation and emission reduction. Therefore, a means of real-time monitoring and control of the energy consumption of the refrigerators is needed to improve the visualization of the energy consumption of the refrigerators.

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

[0005] The present invention analyzes various parameters of the refrigerator when it is running, obtains the ideal energy consumption of the refrigerator under the design state according to different parameters, and compares the ideal energy consumption with the actual energy consumption, so as to obtain whether the actual energy consumption of the refrigerator meets the normal operation standard, so as to promptly remind the management personnel when the energy consumption of the refrigerator is abnormal, so as to avoid the refrigerator from maintaining high energy consumption operation for a long time, resulting in energy waste, and solve the problem that the energy consumption of the refrigerator is easy to change and is not easy to be discovered, resulting in a large amount of energy waste and is not conducive to energy conservation and emission reduction, and proposes a refrigerator energy consumption control system and method based on the Internet of Things.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The energy consumption control system and method of a refrigerator based on the Internet of Things includes a temperature loss monitoring unit, an environment monitoring unit, a refrigeration control unit, an energy consumption judgment unit and an energy consumption control unit. The temperature loss monitoring unit is used to monitor the temperature loss of the refrigerator and make judgments and early warnings based on the monitoring results.

[0008] The environment monitoring unit is used to analyze the environment in which the refrigerator is located, obtain the temperature loss rate of the refrigerator, and send the temperature loss rate of the refrigerator to the energy consumption judgment unit;

[0009] The refrigeration control unit obtains the preset target temperature of the refrigerator through the environmental monitoring unit, and simultaneously obtains the working power of the compressor in the refrigerator;

[0010] The energy consumption judgment unit analyzes the temperature loss rate, the target temperature and the compressed working power to obtain the expected ideal energy consumption of the refrigerator during refrigeration, monitors the operating energy consumption of the refrigerator, obtains the actual energy consumption of the refrigerator, compares the actual energy consumption with the expected ideal energy consumption, and generates an energy consumption judgment signal according to the comparison result;

[0011] The energy consumption control unit controls the operating energy consumption of the refrigerator according to the energy consumption judgment signal.

[0012] As a preferred embodiment of the present invention, the temperature loss monitoring unit monitors the temperature inside the refrigerator when the compressor of the refrigerator stops working, and uses the monitored temperature as the initial temperature. After obtaining the initial temperature, the temperature loss monitoring unit continuously monitors the temperature inside the refrigerator, and records the obtained temperature as the real-time temperature inside the refrigerator. At the same time, the temperature loss monitoring unit records the duration of the heat preservation state as the heat preservation time.

[0013] The temperature loss monitoring unit records the number of times the door of the refrigerator is opened and the time of each opening. The temperature loss monitoring unit obtains the temperature loss rate G of the refrigerator through formula analysis. Where t is the insulation time, T1 is the real-time temperature in the refrigerator, T0 is the initial temperature of the refrigerator, i is the number of times the door is opened, i=1, 2, 3..., n, OPi is the time when the door is opened for the i-th time.

[0014] As a preferred embodiment of the present invention, the temperature loss monitoring unit compares the temperature loss rate G with the set temperature loss rate threshold G0. If the temperature loss rate G is less than or equal to the set temperature loss rate threshold G0, a normal temperature loss rate signal is generated; if the temperature loss rate G is greater than the set temperature loss rate threshold G0, an abnormal temperature loss rate signal is generated.

[0015] As a preferred embodiment of the present invention, the environment monitoring unit obtains the environment information of the refrigerator, wherein the environment information includes an environment interference value and an airflow disturbance value, and the method for the environment monitoring unit to obtain the environment interference value is as follows;

[0016] The environment monitoring unit collects the temperature of multiple points in the environment where the refrigerator is located through a temperature sensor, and the environment monitoring unit assigns different weights to each different collection point, and performs weighted averaging of the temperature values ​​of multiple collection points through a preset weight coefficient to obtain an environmental interference value X;

[0017] The method for the environmental monitoring unit to obtain the airflow disturbance value is:

[0018] The environmental monitoring unit collects the wind speed outside the refrigerator through multiple collection points, and performs arithmetic averaging on the airflow speeds obtained at the multiple collection points to obtain an airflow disturbance value Y;

[0019] The environmental monitoring unit assigns different weights a and b to the airflow disturbance value Y and the environmental interference value X, and obtains the temperature loss rate SJ of the refrigerator through weighted calculation, SJ=aX+bY.

[0020] As a preferred embodiment of the present invention, the refrigeration control unit obtains the maximum operating power of the compressor in the refrigerated cabinet, and records the maximum operating power as the compression operating power;

[0021] The energy consumption judgment unit obtains the ambient temperature through the environment monitoring unit, and calculates according to the ambient temperature and the target temperature to obtain the heat resistance of the refrigerator during refrigeration, and then performs model calculation according to the temperature loss rate and the heat resistance to obtain the temperature rise rate in the refrigerator;

[0022] The energy consumption judgment unit obtains the compressor startup temperature difference set in the refrigerator, and then calculates according to the temperature rise speed in the refrigerator and the compressor startup temperature difference to obtain the downtime consumed when the temperature in the refrigerator rises to the point where the compressor needs to start;

[0023] The energy consumption judgment unit calculates according to the maximum working power of the compressor to obtain the startup time required for the compressor to adjust the temperature in the refrigerator to the set target temperature;

[0024] The energy consumption judgment unit sums the shutdown time and the startup time to obtain the total operating time, calculates the electric energy consumed by the compressor during the startup time, divides the electric energy consumed by the compressor by the total operating time, obtains the average energy consumption of the refrigerator during the set total operating time, and records the expected ideal energy consumption.

[0025] As a preferred embodiment of the present invention, the energy consumption judgment unit uses a sensor to count the actual electric energy consumed by the refrigerator during the total operating time, records it as the actual energy consumption, and calculates the difference between the actual energy consumption and the expected ideal energy consumption to obtain the difference between the actual energy consumption and the expected ideal energy consumption. If the actual energy consumption is greater than the expected ideal energy consumption and the difference is greater than a preset threshold, an actual energy consumption abnormal signal is generated; if the actual energy consumption is less than the preset ideal energy consumption or the actual energy consumption is greater than the expected ideal energy consumption but the difference is not greater than the preset threshold, an actual energy consumption normal signal is generated.

[0026] As a preferred embodiment of the present invention, after generating the actual energy consumption abnormal signal, the energy consumption judgment unit sends the actual energy consumption abnormal signal to the energy consumption control unit to obtain the temperature loss rate signal through the temperature loss monitoring unit. If the temperature loss rate abnormal signal is obtained, the energy consumption abnormal result is determined as the temperature loss rate abnormality; if the temperature loss rate abnormal signal is not obtained, the energy consumption abnormal result is determined as the compressor component abnormality;

[0027] The energy consumption control method of a refrigerator based on the Internet of Things comprises the following steps:

[0028] Step 1: Collect and analyze the temperature loss rate of the refrigerator, and determine whether there is any abnormal fault in the thermal insulation performance of the refrigerator hardware according to the temperature loss rate of the refrigerator;

[0029] Step 2: Collect multiple operating parameters of the refrigerator, obtain the ideal energy consumption of the refrigerator according to the operation collection results, and obtain the actual energy consumption of the refrigerator through sensor statistics;

[0030] Step 3: Compare the actual energy consumption with the ideal energy consumption, and determine whether there is any abnormality in the operating energy consumption of the refrigerator based on the comparison results;

[0031] Step 4: When there is an abnormality in the energy consumption of the refrigerator, predict the cause of the abnormal energy consumption of the refrigerator based on the judgment result in step 1.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. In the present invention, during the operation of the refrigerator, various parameters of the refrigerator are analyzed, and the ideal energy consumption of the refrigerator under the design state is obtained according to different parameters, and the ideal energy consumption is compared with the actual energy consumption, so as to obtain whether the actual energy consumption of the refrigerator meets the normal operation standard. If it does not meet the normal operation standard, an alarm reminder is generated in time, so as to remind the management personnel in time when the energy consumption of the refrigerator is abnormal, so as to avoid the refrigerator maintaining high energy consumption operation for a long time, resulting in energy waste.

[0034] 2. In the present invention, when analyzing the operation of the refrigerator, the natural temperature loss rate of the refrigerator is analyzed to obtain whether there is a problem of excessive cold air loss in the refrigerator when the compressor is not running, thereby analyzing the hardware thermal insulation performance of the refrigerator and the influence of manual opening and closing of the cabinet door, thereby realizing the analysis of the hardware thermal insulation performance of the refrigerator.

[0035] 3. In the present invention, when an abnormality occurs in the refrigerator, the result of the temperature loss rate determination of the refrigerator is analyzed, so as to scientifically infer the specific cause of the abnormal energy consumption of the refrigerator, assist the management personnel to investigate the cause of the abnormal energy consumption of the refrigerator, and improve the maintenance and repair speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0037] Figure 1 is a system block diagram of the present invention;

[0038] Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0039] 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, not 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.

[0040] Embodiment 1:

[0041] See also Figure 1 - Figure 2 As shown, the energy consumption control system and method of the refrigerator based on the Internet of Things include a hypothermia monitoring unit. When the compressor of the refrigerator stops working, that is, when the refrigerator is just in a heat preservation state, the hypothermia monitoring unit monitors the temperature inside the refrigerator that is just in a heat preservation state, and uses the monitored temperature as the initial temperature. After obtaining the initial temperature, the hypothermia monitoring unit continuously monitors the temperature inside the refrigerator, and records the temperature obtained by monitoring as the real-time temperature inside the refrigerator. At the same time, the hypothermia monitoring unit records the duration of the heat preservation state as the heat preservation time.

[0042] In addition, the temperature loss monitoring unit records the number of times the refrigerator door is opened and the time of each opening. The temperature loss monitoring unit obtains the temperature loss rate G of the refrigerator through formula analysis. Where t is the insulation time, T1 is the real-time temperature in the refrigerator, T0 is the initial temperature of the refrigerator, i is the number of times the door is opened, i = 1, 2, 3..., n, OPi is the time when the door is opened for the i-th time;

[0043] The hypothermia monitoring unit compares the temperature loss rate G with the set temperature loss rate threshold G0. If the temperature loss rate G is less than or equal to the set temperature loss rate threshold G0, a normal temperature loss rate signal is generated. If the temperature loss rate G is greater than the set temperature loss rate threshold G0, an abnormal temperature loss rate signal is generated. The hypothermia monitoring unit sends the abnormal temperature loss rate signal after the normal temperature loss signal to the display device through the network. The display device displays the normal temperature loss signal on the screen, or displays the abnormal temperature loss signal on the screen and generates an alarm reminder at the same time.

[0044] Embodiment 2:

[0045] See also Figure 1 - Figure 2 As shown, the environment monitoring unit obtains the environment information of the refrigerator, wherein the environment information includes an environment interference value and an airflow disturbance value. The method for the environment monitoring unit to obtain the environment interference value is:

[0046] The environment monitoring unit collects the temperature of multiple points in the environment where the refrigerator is located through a temperature sensor, wherein the collection points are distributed on the top surface, the bottom surface, the front surface and the compressor of the refrigerator. The environment monitoring unit obtains the temperature value of each collection point and obtains different weights preset for each different collection point. The temperature values ​​of multiple collection points are weighted averaged by the preset weight coefficient to obtain the environment interference value X;

[0047] The method for the environmental monitoring unit to obtain the airflow disturbance value is:

[0048] The environmental monitoring unit monitors the air flow velocity outside the refrigerator, wherein the air flow velocity collection point also includes multiple collection points, each collection point collects the wind speed, and the air flow velocities obtained at the multiple collection points are arithmetic averaged to obtain the air flow disturbance value Y;

[0049] The environmental monitoring unit assigns different weights a and b to the airflow disturbance value Y and the environmental interference value X, and obtains the temperature loss rate SJ of the refrigerator through weighted calculation, SJ = aX + bY;

[0050] The refrigeration control unit obtains the maximum operating power of the compressor in the refrigerated cabinet and records the maximum operating power as the compression operating power;

[0051] The energy consumption judgment unit obtains the ambient temperature through the environmental monitoring unit, and calculates according to the ambient temperature and the target temperature to obtain the heat resistance of the refrigerator during refrigeration, and then calculates the model through the temperature loss rate and the heat resistance to obtain the temperature rise rate in the refrigerator;

[0052] The energy consumption judgment unit obtains the compressor starting temperature difference set in the refrigerator, which indicates the difference between the actual temperature in the refrigerator and the target temperature preset in the refrigerator, and then calculates the time consumed for the temperature in the refrigerator to rise to the point where the compressor needs to start according to the temperature rising speed in the refrigerator and the compressor starting temperature difference, and records it as the downtime;

[0053] The energy consumption judgment unit calculates according to the maximum working power of the compressor, obtains the time required for the compressor to adjust the temperature in the refrigerator to the set target temperature, and records it as the start-up time;

[0054] The energy consumption judgment unit sums the downtime and the startup time to obtain the total operation time, and calculates the electric energy consumed by the compressor during the startup time, divides the electric energy consumed by the compressor by the total operation time, obtains the average energy consumption of the refrigerator during the set total operation time, and records the expected ideal energy consumption;

[0055] The energy consumption judgment unit uses sensors to count the actual electric energy consumed by the refrigerator during the total operating time, records it as the actual energy consumption, and calculates the difference between the actual energy consumption and the expected ideal energy consumption to obtain the difference between the actual energy consumption and the expected ideal energy consumption. If the actual energy consumption is greater than the expected ideal energy consumption and the difference is greater than a preset threshold, an actual energy consumption abnormal signal is generated; if the actual energy consumption is less than the preset ideal energy consumption or the actual energy consumption is greater than the expected ideal energy consumption but the difference is not greater than the preset threshold, an actual energy consumption normal signal is generated;

[0056] After generating the actual energy consumption normal signal, the energy consumption judgment unit sends the actual energy consumption normal signal to the energy consumption control unit, and the energy consumption control unit sends the actual energy consumption normal signal to the display device through the network and displays it on the real device;

[0057] After generating the actual energy consumption abnormality signal, the energy consumption judgment unit sends the actual energy consumption abnormality signal to the energy consumption control unit, and the energy consumption control unit sends the actual energy consumption abnormality signal to the display device through the network, and sets an alarm on the display device;

[0058] At the same time, the energy consumption control unit obtains the temperature loss rate signal through the temperature loss monitoring unit. If an abnormal temperature loss rate signal is obtained, the abnormal energy consumption result is judged as an abnormal temperature loss rate. If no abnormal temperature loss rate signal is obtained, the abnormal energy consumption result is judged as an abnormal compressor component.

[0059] 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. The energy consumption control system of refrigerator based on Internet of Things is characterized by: It includes a temperature loss monitoring unit, an environment monitoring unit, a refrigeration control unit, an energy consumption judgment unit and an energy consumption control unit. The temperature loss monitoring unit is used to monitor the temperature loss of the refrigerator and make judgments and early warnings based on the monitoring results; The environment monitoring unit is used to analyze the environment in which the refrigerator is located, obtain the temperature loss rate of the refrigerator, and send the temperature loss rate of the refrigerator to the energy consumption judgment unit; The refrigeration control unit obtains the preset target temperature of the refrigerator through the environmental monitoring unit, and simultaneously obtains the working power of the compressor in the refrigerator; The energy consumption judgment unit analyzes the temperature loss rate, the target temperature and the compressed working power to obtain the expected ideal energy consumption of the refrigerator during refrigeration, monitors the operating energy consumption of the refrigerator, obtains the actual energy consumption of the refrigerator, compares the actual energy consumption with the expected ideal energy consumption, and generates an energy consumption judgment signal according to the comparison result; The energy consumption control unit controls the operating energy consumption of the refrigerator according to the energy consumption judgment signal.

2. The energy consumption control system for refrigerators based on the Internet of Things according to claim 1 is characterized in that: The hypothermia monitoring unit monitors the temperature inside the refrigerator when the compressor of the refrigerator stops working, and uses the monitored temperature as the initial temperature. After obtaining the initial temperature, the hypothermia monitoring unit continuously monitors the temperature inside the refrigerator, and records the obtained temperature as the real-time temperature inside the refrigerator. At the same time, the hypothermia monitoring unit records the duration of the heat preservation state as the heat preservation time. The temperature loss monitoring unit records the number of times the door of the refrigerator is opened and the time of each opening. The temperature loss monitoring unit obtains the temperature loss rate G of the refrigerator through formula analysis. Where t is the insulation time, T1 is the real-time temperature in the refrigerator, T0 is the initial temperature of the refrigerator, i is the number of times the door is opened, i=1, 2, 3..., n, OPi is the time when the door is opened for the i-th time.

3. The energy consumption control system of a refrigerator based on the Internet of Things according to claim 2 is characterized in that: The temperature loss monitoring unit compares the temperature loss rate G with the set temperature loss rate threshold G0. If the temperature loss rate G is less than or equal to the set temperature loss rate threshold G0, a normal temperature loss rate signal is generated. If the temperature loss rate G is greater than the set temperature loss rate threshold G0, an abnormal temperature loss rate signal is generated.

4. The energy consumption control system for refrigerators based on the Internet of Things according to claim 3 is characterized in that: The environment monitoring unit obtains the environment information of the refrigerator, wherein the environment information includes an environment interference value and an airflow disturbance value. The method for the environment monitoring unit to obtain the environment interference value is as follows: The environment monitoring unit collects the temperature of multiple points in the environment where the refrigerator is located through a temperature sensor, and the environment monitoring unit assigns different weights to each different collection point, and performs weighted averaging of the temperature values ​​of multiple collection points through a preset weight coefficient to obtain an environmental interference value X; The method for the environmental monitoring unit to obtain the airflow disturbance value is: The environmental monitoring unit collects the wind speed outside the refrigerator through multiple collection points, and performs arithmetic averaging on the airflow speeds obtained at the multiple collection points to obtain an airflow disturbance value Y; The environmental monitoring unit assigns different weights a and b to the airflow disturbance value Y and the environmental interference value X, and obtains the temperature loss rate SJ of the refrigerator through weighted calculation, SJ=aX+bY.

5. The energy consumption control system for refrigerators based on the Internet of Things according to claim 4 is characterized in that: The refrigeration control unit obtains the maximum operating power of the compressor in the refrigerator, and records the maximum operating power as the compression operating power; The energy consumption judgment unit obtains the ambient temperature through the environment monitoring unit, and calculates according to the ambient temperature and the target temperature to obtain the heat resistance of the refrigerator during refrigeration, and then performs model calculation according to the temperature loss rate and the heat resistance to obtain the temperature rise rate in the refrigerator; The energy consumption judgment unit obtains the compressor startup temperature difference set in the refrigerator, and then calculates according to the temperature rise speed in the refrigerator and the compressor startup temperature difference to obtain the downtime consumed when the temperature in the refrigerator rises to the point where the compressor needs to start; The energy consumption judgment unit calculates according to the maximum working power of the compressor to obtain the startup time required for the compressor to adjust the temperature in the refrigerator to the set target temperature; The energy consumption judgment unit sums the shutdown time and the startup time to obtain the total operating time, calculates the electric energy consumed by the compressor during the startup time, divides the electric energy consumed by the compressor by the total operating time, obtains the average energy consumption of the refrigerator during the set total operating time, and records the expected ideal energy consumption.

6. The energy consumption control system for refrigerators based on the Internet of Things according to claim 5 is characterized in that: The energy consumption judgment unit uses sensors to count the actual electric energy consumed by the refrigerator during the total operating time, records it as the actual energy consumption, and calculates the difference between the actual energy consumption and the expected ideal energy consumption to obtain the difference between the actual energy consumption and the expected ideal energy consumption. If the actual energy consumption is greater than the expected ideal energy consumption and the difference is greater than a preset threshold, an actual energy consumption abnormal signal is generated; if the actual energy consumption is less than the preset ideal energy consumption or the actual energy consumption is greater than the expected ideal energy consumption but the difference is not greater than the preset threshold, an actual energy consumption normal signal is generated.

7. The energy consumption control system for refrigerators based on the Internet of Things according to claim 6 is characterized in that: After generating the actual energy consumption abnormality signal, the energy consumption judgment unit sends the actual energy consumption abnormality signal to the energy consumption control unit to obtain the temperature loss rate signal through the temperature loss monitoring unit. If the temperature loss rate abnormality signal is obtained, the energy consumption abnormality result is determined to be the temperature loss rate abnormality; if the temperature loss rate abnormality signal is not obtained, the energy consumption abnormality result is determined to be the compressor component abnormality.

8. A refrigerator energy consumption control method based on the Internet of Things, applicable to the refrigerator energy consumption control system based on the Internet of Things according to claim 7, characterized in that: The method comprises the following steps: Step 1: Collect and analyze the temperature loss rate of the refrigerator, and determine whether there is any abnormal fault in the thermal insulation performance of the refrigerator hardware according to the temperature loss rate of the refrigerator; Step 2: Collect multiple operating parameters of the refrigerator, obtain the ideal energy consumption of the refrigerator according to the operation collection results, and obtain the actual energy consumption of the refrigerator through sensor statistics; Step 3: Compare the actual energy consumption with the ideal energy consumption, and determine whether there is any abnormality in the operating energy consumption of the refrigerator based on the comparison results; Step 4: When there is an abnormality in the energy consumption of the refrigerator, predict the cause of the abnormal energy consumption of the refrigerator based on the judgment result in step 1.

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