Environment-friendly refrigerated cabinet visual management system based on Internet of Things technology

Abstract

The invention belongs to the technical field of refrigerated cabinet supervision, and particularly relates to an environment-friendly refrigerated cabinet visual management system based on the Internet of Things technology, which comprises a sensor monitoring module, a refrigerated cabinet abnormity capture module, a visual display control module, a visual operation evaluation module and an intelligent management terminal, internal environment monitoring and operation state monitoring are conducted on the refrigerated cabinet through the sensor monitoring module, the refrigerated cabinet abnormity capturing module conducts abnormity capturing analysis on the refrigerated cabinet based on a monitoring packet and achieves timely abnormity early warning, safe and stable operation of the refrigerated cabinet is guaranteed, and internal refrigerated objects are prevented from being damaged; related information of the refrigerated cabinet is visually displayed through the visual display control module, touch control is achieved, the visual operation evaluation module analyzes the operation performance of the visual display control module and inspects and maintains the visual display control module in time, and the subsequent display effect and control performance of the visual display control module are guaranteed; and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigerator supervision, and in particular to an environmentally friendly refrigerator visualization management system based on the Internet of Things technology. Background Art

[0002] Refrigerator is usually powered by electricity, and uses refrigeration technology to lower the temperature of the air to achieve the effect of refrigeration or freezing. The internal temperature is generally controlled within the range of zero to ten degrees Celsius. It is suitable for storing beverages, eggs, dairy products, fruits, vegetables and other foods. It can also be used to store medicines, vaccines, flowers and other items. The main function of the refrigerator is to extend the shelf life of food and maintain the freshness and taste of food.

[0003] At present, when managing refrigerators, it is often difficult to visualize various information of refrigerators and accurately feedback their abnormal conditions and the risks of continued use, which is not conducive to ensuring the safe and stable operation of refrigerators and avoiding damage to internal refrigerated items. In addition, it is impossible to reasonably analyze and display the control performance and issue timely warnings, which increases the difficulty of user management and has a low degree of intelligence.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an environmentally friendly refrigerator visualization management system based on Internet of Things technology, which solves the problems that the prior art is difficult to visualize various information of the refrigerator and accurately feedback its abnormal conditions and risks of continued use, which is not conducive to ensuring the safe and stable operation of the refrigerator and avoiding damage to the internal refrigerated items, and it is impossible to reasonably analyze and display the control performance and issue timely warnings, resulting in high management difficulty and low intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An environmentally friendly refrigerator visual management system based on Internet of Things technology, including a sensor monitoring module, a refrigerator abnormality capture module, a visual display and control module, a visual operation evaluation module and an intelligent management terminal;

[0008] The sensor monitoring module monitors the internal environment and operating status of the refrigerator, collects real-time data on the relevant operating parameters and internal environmental parameters of the refrigerator, packages the data into a monitoring package, and sends the monitoring package to the refrigerator abnormality capture module and the visual display control module through the Internet of Things;

[0009] The refrigerator abnormality capture module performs abnormality capture analysis on the refrigerator based on the monitoring package, and generates a refrigerator abnormality warning signal or a refrigerator status qualified signal accordingly, and sends the refrigerator abnormality warning signal to the visual display control module and the intelligent management terminal;

[0010] The visual display and control module displays various parameter data and corresponding analysis information of the refrigerator in a visual manner, and the user can view and find the corresponding information of the refrigerator and control the refrigerator through the visual display and control module; the visual operation evaluation module analyzes the operation performance of the visual display and control module, generates a display control non-optimal signal or a display control qualified signal through analysis, and sends the display control non-optimal signal to the intelligent management terminal.

[0011] Furthermore, the specific operation process of the refrigerator abnormality capture module includes:

[0012] An analysis is performed based on the real-time data of various environmental parameters in the monitoring package to obtain the refrigerator inner loop coefficient, and an analysis is performed based on the real-time data of various operating parameters in the monitoring package to obtain the refrigerator operation and inspection coefficient. The refrigerator inner loop coefficient and the refrigerator operation and inspection coefficient are numerically compared with the preset refrigerator inner loop coefficient threshold and the preset refrigerator internal inspection coefficient threshold, respectively. If the refrigerator inner loop coefficient or the refrigerator operation and inspection coefficient exceeds the corresponding preset threshold, a refrigerator abnormality warning signal is generated; if both the refrigerator inner loop coefficient and the refrigerator operation and inspection coefficient do not exceed the corresponding preset threshold, a refrigerator status qualified signal is generated.

[0013] Furthermore, the analysis and acquisition method of the inner ring coefficient of the refrigerator is as follows:

[0014] The temperature data and humidity data in the refrigerator are collected, and the temperature data and humidity data are numerically compared with the corresponding preset refrigeration temperature range and the preset refrigeration humidity range respectively. If the temperature data or the humidity data is not within the corresponding preset range, it is determined that the refrigerator is in an unsuitable refrigeration state;

[0015] The total time that the refrigerator is in a non-suitable refrigeration state per unit time is obtained and marked as the non-suitable refrigeration time condition value, and the maximum deviation amplitude of the temperature data and the maximum deviation amplitude of the humidity data in the refrigerator per unit time are collected and marked as the refrigeration temperature deviation amplitude and the refrigeration humidity deviation amplitude respectively;

[0016] The number of times that the refrigerator is in a non-suitable refrigeration state for a single duration exceeding the corresponding preset single duration threshold within unit time is marked as a non-suitable refrigeration risk deviation value; the inner loop coefficient of the refrigerator is obtained by numerically calculating the non-suitable refrigeration risk deviation value, the non-suitable refrigeration condition value, the refrigeration temperature deviation amplitude and the refrigeration humidity deviation amplitude.

[0017] Furthermore, the analysis and acquisition method of the refrigerated cabinet operation and inspection coefficient is as follows:

[0018] The average value of the vibration amplitude of the refrigerator in a unit time and the average value of the noise decibel value generated are collected and marked as the cabinet vibration analysis value and the cabinet noise analysis value respectively, and the deviation value of the average voltage value of the refrigerator in a unit time compared with the set standard voltage value is marked as the cabinet pressure analysis value, and the deviation value of the average current value of the refrigerator in a unit time compared with the set standard current value is marked as the cabinet current analysis value;

[0019] And set a number of detection time periods in a unit time, collect the energy consumption data of the refrigerator in the corresponding detection time period, compare the energy consumption data with the corresponding preset energy consumption data threshold, if the energy consumption data exceeds the preset energy consumption data threshold, then mark the corresponding detection time period as a high consumption time period, and mark the number of detection time periods in a unit time as a high consumption inspection value;

[0020] The energy consumption data of two adjacent detection periods are calculated by difference and the absolute value is taken to obtain the energy consumption increase and decrease performance value, and the number of energy consumption increase and decrease performance values ​​that exceed the preset energy consumption increase and decrease performance threshold in unit time is marked as the energy consumption change risk value; the refrigerated cabinet operation and inspection coefficient is obtained by numerically calculating the cabinet vibration value, cabinet noise value, cabinet pressure value, cabinet flow value, high consumption inspection meter value and energy consumption change risk value.

[0021] Furthermore, when the visualization display control module is displaying, the brightness of the environment is collected and marked as a brightness value, and the distance between the person in front and the visualization display module is collected and marked as a distance value, and the brightness value and the distance value are numerically calculated to obtain a brightness judgment coefficient;

[0022] Several groups of brightness judgment coefficient ranges are set in advance, each group of brightness judgment coefficient ranges corresponds to a group of display brightness standard values, the brightness judgment coefficients are compared with all the brightness judgment coefficient ranges one by one, the display brightness standard values ​​corresponding to the brightness judgment coefficient ranges containing the corresponding brightness judgment coefficients are marked as target brightness values, and the visual display control module displays the brightness according to the target brightness values.

[0023] Furthermore, the specific operation process of the visual operation evaluation module includes:

[0024] The real-time display brightness of the visualization display control module is collected, and the deviation value of the real-time display brightness compared with the corresponding target brightness value is marked as a brightness difference coefficient. The brightness difference coefficient is numerically compared with a preset brightness difference coefficient threshold. If the brightness difference coefficient exceeds the preset brightness difference coefficient threshold, it is determined that the visualization display control module is in a display difference state, and the total duration of the visualization display control module in the display difference state during the detection period is obtained and marked as a display difference time condition value;

[0025] When the user performs a touch operation on the visual display manipulation module, the contact pressure between the user and the visual display manipulation module is collected, and when the contact pressure exceeds a preset contact pressure threshold, the user's click moment and the visual display manipulation module's reaction moment are collected, and the interval between the reaction moment and the click moment is marked as the sensitive duration;

[0026] The sensitive duration is compared with the preset sensitive duration threshold. If the sensitive duration exceeds the preset sensitive duration threshold, the corresponding sensitive duration is marked as the touch-defective duration. The number of touch-defective durations in the detection period is calculated by ratio to the number of sensitive durations to obtain the touch-defective monitoring value, and the average value of all sensitive durations in the detection period is marked as the touch-defective table value.

[0027] The visualization operation evaluation coefficient is obtained by numerically calculating the display abnormality time condition value, touch poor monitoring value and touch poor table value, and the visualization operation evaluation coefficient is numerically compared with the preset visualization operation evaluation coefficient threshold. If the visualization operation evaluation coefficient exceeds the preset visualization operation evaluation coefficient threshold, a display control non-optimal signal is generated; if the visualization operation evaluation coefficient does not exceed the preset visualization operation evaluation coefficient threshold, a display control qualified signal is generated.

[0028] Furthermore, the refrigerator abnormality capture module is communicatively connected to the refrigerator decay assessment module, and the refrigerator abnormality capture module sends the refrigerator abnormality warning signal to the refrigerator decay assessment module. The refrigerator decay assessment module uses the current date as the end date and traces back to a monitoring period with a set number of days as L1, and determines through analysis whether to generate a refrigerator decay warning signal. When the decay warning signal is generated, it is sent to the visualization display control module and the intelligent management terminal.

[0029] Furthermore, the specific analysis process for determining whether to generate a refrigerator decay warning signal is as follows:

[0030] The production date of the refrigerator is collected, the interval between the current date and the production date is marked as the refrigerator production time value, and the total working time of the refrigerator in the historical stage is marked as the refrigerator working time value, and the refrigerator production time value and the refrigerator working time value are numerically compared with the preset refrigerator production time threshold and the preset refrigerator working time threshold, respectively. If the refrigerator production time value or the refrigerator working time value exceeds the corresponding preset threshold, a recession warning signal is generated;

[0031] If the production time value and the working time value of the refrigerator do not exceed the corresponding preset threshold value, the number of times the refrigerator cannot work due to faults during the monitoring period is collected and marked as the working fault value, and the total time that the refrigerator cannot work due to faults during the monitoring period is marked as the working delay value, and the amount of maintenance investment to repair the fault during the monitoring period is marked as the maintenance inspection value; the recession warning coefficient is obtained by numerically calculating the production time value of the refrigerator, the working time value of the refrigerator, the working fault value, the working delay value and the maintenance inspection value, and the recession warning coefficient is numerically compared with the preset recession warning coefficient threshold value. If the recession warning coefficient exceeds the preset recession warning coefficient threshold value, a recession warning signal is generated.

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

[0033] 1. In the present invention, the sensor monitoring module is used to monitor the internal environment and operation status of the refrigerator. The refrigerator abnormality capture module is used to capture and analyze the refrigerator abnormality based on the monitoring package and realize timely abnormality warning. When the refrigerator abnormality warning signal is generated, the refrigerator decay assessment module is used to analyze to determine whether to generate a refrigerator decay warning signal. When the decay warning signal is generated, the refrigerator is strengthened to supervise or replace, to ensure the subsequent safe and stable refrigeration and reduce user losses, and significantly reduce the management difficulty of the refrigerator;

[0034] 2. In the present invention, the relevant information of the refrigerator is visualized and touch-controlled through the visual display and control module, and the visual operation evaluation module analyzes the operation performance of the visual display and control module to generate a non-optimal display and control signal or a qualified display and control signal, which is conducive to timely inspection and maintenance of the visual display and control module to ensure its subsequent display effect and control performance, and has a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0036] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0037] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0039] Embodiment 1: Figure 1 As shown, the present invention proposes an environmentally friendly refrigerator visual management system based on the Internet of Things technology, including a sensor monitoring module, a refrigerator abnormality capture module, a visual display and control module, a visual operation evaluation module and an intelligent management terminal;

[0040] The sensor monitoring module monitors the internal environment and operating status of the refrigerator, collects real-time data on the relevant operating parameters and internal environmental parameters of the refrigerator, packages the data into a monitoring package, and sends the monitoring package to the refrigerator abnormality capture module and the visual display and control module through the Internet of Things, so as to provide real-time feedback on the internal refrigeration information and operating information of the refrigerator, and provide strong data support for the refrigerator abnormality analysis process.

[0041] The refrigerator abnormality capture module performs abnormality capture analysis on the refrigerator based on the monitoring package, and generates a refrigerator abnormality warning signal or a refrigerator status qualified signal, and sends the refrigerator abnormality warning signal to the visual display control module and the intelligent management terminal for display;

[0042] When the intelligent management terminal receives the abnormal warning signal of the refrigerator, it issues a corresponding warning to remind the user to adjust or repair the refrigerator in time, ensure the safe and stable operation of the refrigerator and avoid damage to the internal refrigerated items, which significantly reduces the difficulty of user management; the specific operation process of the refrigerator abnormality capture module is as follows:

[0043] Based on the real-time data of various environmental parameters in the monitoring package, the internal loop coefficient of the refrigerator is obtained by analyzing the temperature data and humidity data in the refrigerator, and comparing the temperature data and humidity data with the corresponding preset refrigeration temperature range and preset refrigeration humidity range respectively. If the temperature data or humidity data is not within the corresponding preset range, it is determined that the refrigerator is in an unsuitable refrigeration state;

[0044] The total time that the refrigerator is in a non-suitable refrigeration state per unit time is obtained and marked as the non-suitable refrigeration time condition value, and the maximum deviation amplitude of the temperature data and the maximum deviation amplitude of the humidity data in the refrigerator per unit time are collected and marked as the refrigeration temperature deviation amplitude and the refrigeration humidity deviation amplitude respectively;

[0045] And the number of occurrences in which the single duration of the refrigerator in the non-refrigeration state exceeds the corresponding preset single duration threshold within a unit time is marked as a non-refrigeration risk deviation value;

[0046] The refrigeration cabinet inner loop coefficient PX is obtained by numerically calculating the refrigeration non-suitable risk deviation value PK, the refrigeration non-suitable time value PW, the refrigeration temperature deviation amplitude value PL and the refrigeration humidity deviation amplitude value PM through the formula PX=hu1*PK+hu2*PW+(hu3*PL+hu4*PM) / 2; wherein hu1, hu2, hu3, hu4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the refrigeration cabinet inner loop coefficient PX is, the worse the internal refrigeration environment of the refrigeration cabinet is, and the more timely regulation is needed;

[0047] Based on the real-time data of various operating parameters in the monitoring package, analysis is performed to obtain the operation and inspection coefficient of the refrigerated cabinet, specifically: the average value of the vibration amplitude of the refrigerated cabinet in unit time and the average value of the noise decibel value generated are collected and marked as the cabinet vibration analysis value and the cabinet noise analysis value respectively, and the deviation value of the average voltage value of the refrigerated cabinet in unit time compared with the set standard voltage value is marked as the cabinet pressure analysis value, and the deviation value of the average current value of the refrigerated cabinet in unit time compared with the set standard current value is marked as the cabinet current analysis value;

[0048] And set a number of detection time periods in a unit time, collect the energy consumption data of the refrigerator in the corresponding detection time period, compare the energy consumption data with the corresponding preset energy consumption data threshold, if the energy consumption data exceeds the preset energy consumption data threshold, then mark the corresponding detection time period as a high consumption time period, and mark the number of detection time periods in a unit time as a high consumption inspection value;

[0049] and calculating the difference between the energy consumption data of two adjacent detection periods and taking the absolute value to obtain the energy consumption increase and decrease performance value, and marking the number of energy consumption increase and decrease performance values ​​exceeding the preset energy consumption increase and decrease performance threshold in a unit time as the energy consumption change risk value;

[0050] By formula The cabinet vibration analysis value YZ, cabinet noise analysis value YS, cabinet pressure analysis value YK, cabinet flow analysis value YP, high consumption inspection meter value YM and energy consumption variable risk value YF are numerically calculated to obtain the refrigerated cabinet operation and inspection coefficient YX; wherein c1, c2, c3, c4, c5, c6 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the refrigerated cabinet operation and inspection coefficient YX, the worse the overall operation condition of the refrigerated cabinet is;

[0051] The refrigerator inner loop coefficient PX and the refrigerator operation and inspection coefficient YX are numerically compared with the preset refrigerator inner loop coefficient threshold and the preset refrigerator internal inspection coefficient threshold respectively. If the refrigerator inner loop coefficient PX or the refrigerator operation and inspection coefficient YX exceeds the corresponding preset threshold, it indicates that the operation status of the refrigerator is abnormal, and a refrigerator abnormal warning signal is generated; if the refrigerator inner loop coefficient PX and the refrigerator operation and inspection coefficient YX do not exceed the corresponding preset threshold, it indicates that the operation status of the refrigerator is relatively normal, and a refrigerator status qualified signal is generated.

[0052] The visual display and control module displays various parameter data and corresponding analysis information of the refrigerator in a visual manner, and the user can view and find the corresponding information of the refrigerator and control the refrigerator through the visual display and control module; the user can also remotely retrieve the information stored in the visual display and control module through the intelligent management terminal, and send control instructions to the visual display and control module to remotely control the operation of the refrigerator. It has a high degree of intelligence and is convenient for users to manage and control the refrigerator.

[0053] Furthermore, when the visualization display control module is displaying, when there is a person in front of the visualization display control module (when there is no person in front of the visualization display control module, the visualization display control module is displayed at the lowest brightness), the brightness of the environment is collected and marked as the brightness value, and the distance between the person in front and the visualization display module is collected and marked as the distance value, and the brightness value LS and the distance value LX are numerically calculated by the formula LP=hy1*LS+hy2*LX to obtain the brightness judgment coefficient LP; wherein hy1 and hy2 are preset weight coefficients with values ​​greater than zero, and the larger the value of the brightness judgment coefficient LP is, the more it is necessary to increase the display brightness so that the user can see clearly;

[0054] Several groups of brightness judgment coefficient ranges are set in advance, each group of brightness judgment coefficient ranges corresponds to a group of display brightness standard values, the brightness judgment coefficient LP is compared with all the brightness judgment coefficient ranges one by one, the display brightness standard value corresponding to the brightness judgment coefficient range containing the corresponding brightness judgment coefficient LP is marked as the target brightness value, and the visual display control module displays the brightness according to the target brightness value, which can automatically and reasonably adjust the display brightness, which helps to reduce energy consumption while allowing users to see the displayed content clearly.

[0055] The visual operation evaluation module analyzes the operation performance of the visual display and control module, generates a display and control non-optimal signal or a display and control qualified signal through analysis, and sends the display and control non-optimal signal to the intelligent management terminal. When the intelligent management terminal receives the display and control non-optimal signal, it issues a corresponding warning to remind the user to check and repair the visual display and control module in time to ensure its subsequent display effect and control performance; the specific operation process of the visual operation evaluation module is as follows:

[0056] The real-time display brightness of the visualization display control module is collected, and the deviation value of the real-time display brightness compared with the corresponding target brightness value is marked as a brightness difference coefficient, wherein the larger the value of the brightness difference coefficient is, the less the display brightness condition of the visualization display control module at the corresponding moment does not meet the requirements; the brightness difference coefficient is numerically compared with a preset brightness difference coefficient threshold value, and if the brightness difference coefficient exceeds the preset brightness difference coefficient threshold value, it is indicated that the display brightness condition of the visualization display control module at the corresponding moment does not meet the requirements, then it is determined that the visualization display control module is in a display difference state, and the total duration of the visualization display control module in the display difference state during the detection period is obtained and marked as the display difference time condition value;

[0057] When the user performs a touch operation on the visual display control module, the contact pressure between the user and the visual display control module (i.e., the pressure applied by the user's finger to the display control module) is collected, and when the contact pressure exceeds a preset contact pressure threshold, the user's click moment and the reaction moment of the visual display control module are collected, and the interval between the reaction moment and the click moment is marked as the sensitive time; wherein, the larger the value of the sensitive time, the slower the reaction to the corresponding click operation;

[0058] The sensitive duration is compared with the preset sensitive duration threshold. If the sensitive duration exceeds the preset sensitive duration threshold, it indicates that the response to the corresponding click operation is slow, and the corresponding sensitive duration is marked as the touch-defective duration. The number of touch-defective durations in the detection period is calculated by ratio to the number of sensitive durations to obtain the touch-defective monitoring value, and the average value of all sensitive durations in the detection period is marked as the touch-defective table value.

[0059] The visualization operation evaluation coefficient QF is obtained by numerically calculating the display abnormality value QS, the touch failure monitoring value QF and the touch failure table value QY through the formula QF=ry1*QS / (ry2+ry3)+ry2*QF+ry3*QY; wherein ry1, ry2 and ry3 are preset proportional coefficients, ry2>ry3>ry1>0; and the larger the value of the visualization operation evaluation coefficient QF, the worse the display control performance of the visualization display control module is in general during the detection period;

[0060] The visualization operation evaluation coefficient QF is numerically compared with the preset visualization operation evaluation coefficient threshold. If the visualization operation evaluation coefficient QF exceeds the preset visualization operation evaluation coefficient threshold, it indicates that the display and control performance of the visualization display and control module during the detection period is generally poor, and a display and control non-optimal signal is generated; if the visualization operation evaluation coefficient QF does not exceed the preset visualization operation evaluation coefficient threshold, it indicates that the display and control performance of the visualization display and control module during the detection period is generally good, and a display and control qualified signal is generated.

[0061] Embodiment 2: Figure 2As shown, the difference between this embodiment and the first embodiment is that the refrigerator abnormality capture module is communicatively connected to the refrigerator decay assessment module, the refrigerator abnormality capture module sends the refrigerator abnormality warning signal to the refrigerator decay assessment module, and the refrigerator decay assessment module uses the current date as the end date and traces back to set the monitoring period of days L1, preferably, T1 is sixty days;

[0062] Through analysis, it is determined whether to generate a decline warning signal for the refrigerator. When the decline warning signal is generated, it is sent to the visual display control module and the intelligent management terminal. When the intelligent management terminal receives the decline warning signal, it issues a corresponding warning to remind the user to strengthen supervision of the refrigerator or replace the refrigerator, which is conducive to the reasonable disposal and supervision of the refrigerator, ensuring the subsequent safe and stable refrigeration and reducing user losses, and further reducing the difficulty of managing the refrigerator. The specific analysis process is as follows:

[0063] The production date of the refrigerator is collected, the interval between the current date and the production date is marked as the refrigerator production time value, and the total working time of the refrigerator in the historical stage is marked as the refrigerator working time value, and the refrigerator production time value and the refrigerator working time value are numerically compared with the preset refrigerator production time threshold and the preset refrigerator working time threshold, respectively. If the refrigerator production time value or the refrigerator working time value exceeds the corresponding preset threshold, it indicates that the refrigerator has a high probability of decay and can be replaced in time, and a decay warning signal is generated;

[0064] If the production time value and the working time value of the refrigerator cabinet do not exceed the corresponding preset threshold value, the number of times the refrigerator cabinet cannot work due to faults during the monitoring period is collected and marked as the working fault value, and the total time that the refrigerator cannot work due to faults during the monitoring period is marked as the working time delay value, and the maintenance investment amount for repairing the faults during the monitoring period is marked as the maintenance investment value;

[0065] By formula The refrigeration cabinet production time value SL, refrigeration cabinet working time value SP, working failure value SH, working time error value SZ and maintenance inspection value SW are numerically calculated to obtain the recession warning coefficient SY;

[0066] Among them, wq1, wq2, wq3, wq4, and wq5 are preset proportional coefficients whose values ​​are greater than zero. When the value of the decay warning coefficient SY is too large, it indicates that it is not only difficult to ensure the safe and stable operation of the refrigerator, but also easy to cause greater losses to the user. The refrigerator can be replaced as needed, and the decay warning coefficient SY is compared with the preset decay warning coefficient threshold. If the decay warning coefficient SY exceeds the preset decay warning coefficient threshold, it indicates that there is no need to continue to put the refrigerator into use, and a decay warning signal is generated.

[0067] The working principle of the present invention is as follows: when in use, the sensor monitoring module is used to monitor the internal environment and operation status of the refrigerator and obtain a monitoring package. The refrigerator abnormality capture module performs abnormality capture analysis on the refrigerator based on the monitoring package, and performs corresponding adjustments or maintenance on the refrigerator when an abnormal warning signal of the refrigerator is generated, so as to ensure the safe and stable operation of the refrigerator and avoid damage to the internal refrigerated items, significantly reducing the difficulty of user management, and the relevant information of the refrigerator is visualized and touch-controlled through the visual display and control module. The visual operation evaluation module analyzes the operation performance of the visual display and control module, and inspects and repairs the visual display and control module when a non-optimal display and control signal is generated, so as to ensure its subsequent display effect and control performance, with a high degree of intelligence.

[0068] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. 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 contents 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 technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A visual management system for environmentally friendly refrigerators based on Internet of Things technology, characterized in that: It includes sensor monitoring module, refrigerator abnormality capture module, visual display and control module, visual operation evaluation module and intelligent management terminal; The sensor monitoring module monitors the internal environment and operating status of the refrigerator, collects real-time data on the relevant operating parameters and internal environmental parameters of the refrigerator, packages the data into a monitoring package, and sends the monitoring package to the refrigerator abnormality capture module and the visual display control module through the Internet of Things; The refrigerator abnormality capture module performs abnormality capture analysis on the refrigerator based on the monitoring package, and generates a refrigerator abnormality warning signal or a refrigerator status qualified signal accordingly, and sends the refrigerator abnormality warning signal to the visual display control module and the intelligent management terminal; The visual display and control module displays various parameter data and corresponding analysis information of the refrigerator in a visual manner, and the user can view and find the corresponding information of the refrigerator and control the refrigerator through the visual display and control module; The visual operation evaluation module analyzes the operation performance of the visual display and control module, generates a display and control non-optimal signal or a display and control qualified signal through analysis, and sends the display and control non-optimal signal to the intelligent management terminal.

2. According to claim 1, the visual management system for environmentally friendly refrigerators based on Internet of Things technology is characterized in that: The specific operation process of the cold storage cabinet abnormality capture module includes: Based on the real-time data of various environmental parameters in the monitoring package, analysis is performed to obtain the inner loop coefficient of the refrigerator, and based on the real-time data of various operating parameters in the monitoring package, analysis is performed to obtain the operation and inspection coefficient of the refrigerator. If the inner loop coefficient of the refrigerator or the operation and inspection coefficient of the refrigerator exceeds the corresponding preset threshold, a refrigerator abnormality warning signal is generated; if both the inner loop coefficient of the refrigerator and the operation and inspection coefficient of the refrigerator do not exceed the corresponding preset threshold, a refrigerator status qualified signal is generated.

3. According to claim 2, the visual management system for environmentally friendly refrigerators based on Internet of Things technology is characterized in that: The analysis and acquisition method of the internal ring coefficient of the refrigerator is as follows: The temperature data and humidity data in the refrigerator are collected. If the temperature data or the humidity data is not within the corresponding preset range, it is determined that the refrigerator is in a non-refrigerated state; the total time that the refrigerator is in a non-refrigerated state per unit time is obtained and marked as a non-refrigerated state value, and the maximum deviation amplitude of the temperature data and the maximum deviation amplitude of the humidity data in the refrigerator per unit time are collected and marked as the refrigerated temperature deviation amplitude and the refrigerated humidity deviation amplitude respectively; The number of times that the refrigerator is in a non-suitable refrigeration state for a single duration exceeding the corresponding preset single duration threshold within unit time is marked as a non-suitable refrigeration risk deviation value; the inner loop coefficient of the refrigerator is obtained by numerically calculating the non-suitable refrigeration risk deviation value, the non-suitable refrigeration condition value, the refrigeration temperature deviation amplitude and the refrigeration humidity deviation amplitude.

4. According to claim 2, the visual management system for environmentally friendly refrigerators based on Internet of Things technology is characterized in that: The analysis and acquisition method of the refrigerated cabinet operation and inspection coefficient is as follows: The average value of the vibration amplitude of the refrigerator in a unit time and the average value of the noise decibel value generated are collected and marked as the cabinet vibration analysis value and the cabinet noise analysis value respectively, and the deviation value of the average voltage value of the refrigerator in a unit time compared with the set standard voltage value is marked as the cabinet pressure analysis value, and the deviation value of the average current value of the refrigerator in a unit time compared with the set standard current value is marked as the cabinet current analysis value; And set a number of detection time periods in a unit time, collect the energy consumption data of the refrigerator in the corresponding detection time period, if the energy consumption data exceeds the preset energy consumption data threshold, the corresponding detection time period is marked as a high consumption time period, and the number of detection time periods in a unit time is marked as a high consumption inspection table value; The energy consumption data of two adjacent detection periods are calculated by difference and the absolute value is taken to obtain the energy consumption increase and decrease performance value, and the number of energy consumption increase and decrease performance values ​​that exceed the preset energy consumption increase and decrease performance threshold in unit time is marked as the energy consumption change risk value; the refrigerated cabinet operation and inspection coefficient is obtained by numerically calculating the cabinet vibration value, cabinet noise value, cabinet pressure value, cabinet flow value, high consumption inspection meter value and energy consumption change risk value.

5. According to claim 1, the visual management system for environmentally friendly refrigerators based on Internet of Things technology is characterized in that: When the visualization display control module is displaying, the brightness of the environment is collected and marked as the brightness value, and the distance between the person in front and the visualization display module is collected and marked as the distance value, and the brightness value and the distance value are numerically calculated to obtain the brightness judgment coefficient; Several groups of brightness judgment coefficient ranges are set in advance, each group of brightness judgment coefficient ranges corresponds to a group of display brightness standard values, and the display brightness standard values ​​corresponding to the brightness judgment coefficient ranges containing the corresponding brightness judgment coefficients are marked as target brightness values. The visual display control module displays the brightness according to the target brightness values.

6. The visual management system for environmentally friendly refrigerators based on Internet of Things technology according to claim 1 is characterized in that: The specific operation process of the visual operation evaluation module includes: The real-time display brightness of the visualization display control module is collected, and the deviation value of the real-time display brightness compared with the corresponding target brightness value is marked as a brightness difference coefficient. If the brightness difference coefficient exceeds the preset brightness difference coefficient threshold, it is determined that the visualization display control module is in a display difference state, and the total duration of the visualization display control module in the display difference state during the detection period is obtained and marked as the display difference time condition value; When the user performs a touch operation on the visual display manipulation module, the contact pressure between the user and the visual display manipulation module is collected, and when the contact pressure exceeds a preset contact pressure threshold, the user's click moment and the visual display manipulation module's reaction moment are collected, and the interval between the reaction moment and the click moment is marked as the sensitive duration; If the sensitive duration exceeds the preset sensitive duration threshold, the corresponding sensitive duration is marked as the touch-defective duration, the number of touch-defective durations in the detection period is calculated by ratio to the number of sensitive durations to obtain the touch-defective monitoring value, and the average value of all sensitive durations in the detection period is marked as the touch-defective table value; The visualization operation evaluation coefficient is obtained by numerically calculating the display abnormality time condition value, touch poor monitoring value and touch poor table value. If the visualization operation evaluation coefficient exceeds the preset visualization operation evaluation coefficient threshold, a display control non-optimal signal is generated; if the visualization operation evaluation coefficient does not exceed the preset visualization operation evaluation coefficient threshold, a display control qualified signal is generated.

7. The visual management system for environmentally friendly refrigerators based on Internet of Things technology according to claim 1 is characterized in that: The refrigerator abnormality capture module is communicatively connected to the refrigerator decay assessment module. The refrigerator abnormality capture module sends the refrigerator abnormality warning signal to the refrigerator decay assessment module. The refrigerator decay assessment module uses the current date as the end date and traces back to a monitoring period with a set number of days as L1. It determines through analysis whether to generate a refrigerator decay warning signal. When the decay warning signal is generated, it is sent to the visualization display control module and the intelligent management terminal.

8. The visual management system for environmentally friendly refrigerators based on Internet of Things technology according to claim 7 is characterized in that: The specific analysis process to determine whether to generate a refrigerator decay warning signal is as follows: The production date of the refrigerator is collected, and the interval between the current date and the production date is marked as the production time value of the refrigerator, and the total working time of the refrigerator in the historical stage is marked as the working time value of the refrigerator. If the production time value of the refrigerator or the working time value of the refrigerator exceeds the corresponding preset threshold, a decline warning signal is generated; If the production time value and the working time value of the refrigerator cabinet do not exceed the corresponding preset threshold value, the number of times the refrigerator cabinet cannot work due to faults during the monitoring period is collected and marked as the working fault value, and the total time that the refrigerator cannot work due to faults during the monitoring period is marked as the working time delay value, and the maintenance investment amount for repairing the faults during the monitoring period is marked as the maintenance investment value; The decline warning coefficient is obtained by numerically calculating the refrigerated cabinet production time value, refrigerated cabinet working time value, working failure value, working delay value and maintenance inspection value. If the decline warning coefficient exceeds the preset decline warning coefficient threshold, a decline warning signal is generated.

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