Intelligent monitoring system and method for vehicle-mounted refrigeration equipment

Abstract

The present invention belongs to the field of intelligent monitoring technology. The present invention provides an intelligent monitoring system and method for vehicle-mounted refrigeration equipment. The system monitors the vehicle-mounted refrigeration equipment by setting a temperature sensor within a monitoring period to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value. When the temperature fluctuation range value and the temperature fluctuation degree value are obtained, the temperature fluctuation range value and the temperature fluctuation degree value are substituted into a formula to calculate a refrigeration performance value. If the refrigeration performance value is greater than a refrigeration performance threshold, a refrigeration performance unstable signal is generated. If the refrigeration performance value is less than or equal to the refrigeration performance threshold, a refrigeration performance stable signal is generated. Therefore, within the monitoring period, by monitoring two different aspects, namely, the maximum amplitude range of the temperature fluctuation of the vehicle-mounted refrigerator and the overall temperature fluctuation degree, a comprehensive evaluation is made as to whether the refrigeration performance of the vehicle-mounted refrigerator is stable.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent monitoring, and in particular to an intelligent monitoring system and method for vehicle-mounted refrigeration equipment. Background Art

[0002] In today's society, there are many new energy vehicles with on-board refrigerators. Since the main power source of new energy vehicles is provided by on-board batteries, it is necessary to monitor the refrigeration performance of the on-board refrigerators installed on new energy vehicles and determine whether the refrigeration performance of the on-board refrigerators is stable. If the refrigeration performance of the on-board refrigerators is unstable, further analyze the on-board voltage fluctuations and solve the problem of unstable refrigeration performance of the on-board refrigerators.

[0003] In the prior art, although there are a series of analyses and evaluations on whether the refrigeration performance of the vehicle-mounted refrigerator equipment is stable, the reasons for the unstable refrigeration performance of the vehicle-mounted refrigerator equipment have not been analyzed and determined. Therefore, the content of this application not only conducts a series of analyses and evaluations on whether the refrigeration performance of the vehicle-mounted refrigerator equipment is stable and analyzes and determines the reasons for the unstable refrigeration performance of the vehicle-mounted refrigerator equipment, but also optimizes and adjusts the reasons after analysis and determination, thereby solving the problem of unstable refrigeration performance of the vehicle-mounted refrigerator equipment caused by vehicle voltage fluctuations.

[0004] To this end, the present invention provides an intelligent monitoring system and method for vehicle-mounted refrigeration equipment. Summary of the invention

[0005] In order to make up for the shortcomings of the prior art, the problem of unstable refrigeration performance of a vehicle refrigerator caused by vehicle voltage fluctuations mentioned in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve its technical problem is:

[0007] An intelligent monitoring method for vehicle-mounted refrigeration equipment, comprising:

[0008] Step 1: During the monitoring period, the vehicle refrigeration equipment is monitored by setting a temperature sensor to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value;

[0009] Step 2: Based on the temperature fluctuation range value and the temperature fluctuation degree value, a refrigeration performance value is obtained, and compared with a threshold value. If the refrigeration performance value is greater than the refrigeration performance threshold value, a refrigeration performance unstable signal is generated;

[0010] Step 3: When the refrigeration performance unstable signal is generated, the vehicle voltage fluctuation within the monitoring period is monitored to obtain the vehicle voltage data, wherein the vehicle voltage data includes the vehicle voltage value, and the temperature fluctuation within the monitoring period is analyzed with the vehicle voltage fluctuation to obtain the fluctuation synchronization value, and the fluctuation synchronization value is compared with the fluctuation synchronization threshold value, and if the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold value, a fluctuation synchronization signal is generated;

[0011] Step 4: When the fluctuation synchronization signal is generated, the adjustment coefficient is obtained to complete the optimization adjustment of the vehicle voltage fluctuation range;

[0012] As a further solution of the present invention: the monitoring temperature value is obtained by:

[0013] During the monitoring cycle, the monitoring cycle is divided into several monitoring time periods according to equal time intervals. During the monitoring time period, the monitoring time period is divided into several time nodes. The temperature value corresponding to each time node is obtained and marked as the monitoring temperature value.

[0014] As a further solution of the present invention: the temperature fluctuation range value is obtained by:

[0015] Based on the monitored temperature values, the monitored temperature values ​​within the monitoring time period are compared, and the maximum monitored temperature value and the minimum monitored temperature value within the monitoring time period are extracted, and marked as the maximum monitored temperature value and the minimum monitored temperature value respectively;

[0016] Subtract the maximum value of the monitored temperature from the minimum value of the monitored temperature to obtain the temperature variation range value;

[0017] All temperature variation range values ​​within the monitoring period are added and averaged to obtain the temperature fluctuation range value.

[0018] As a further solution of the present invention: the temperature fluctuation degree value is obtained by:

[0019] Based on the monitored temperature value, the monitored temperature value in each monitoring time period is calculated to obtain the temperature change degree value;

[0020] All temperature change values ​​within the monitoring period are added together and averaged to calculate the temperature fluctuation value.

[0021] As a further solution of the present invention: the refrigeration performance value is obtained by:

[0022] Substitute the temperature fluctuation range and temperature fluctuation degree values ​​into the formula: , calculate the refrigeration performance value ,in, Expressed as the temperature fluctuation range value, Expressed as the temperature fluctuation value, , Expressed as a preset weight coefficient.

[0023] As a further solution of the present invention: the synchronous fluctuation value is obtained by:

[0024] Based on the temperature change curve, the temperature change curve is divided into a plurality of temperature change sub-curve segments;

[0025] Based on the temperature change sub-curve segment, two endpoints and a midpoint of each temperature change sub-curve segment are obtained, and the two endpoints and a midpoint of each temperature change sub-curve segment are marked as a start endpoint, an end endpoint and a midpoint of the temperature change sub-curve segment respectively;

[0026] The starting endpoint, the midpoint and the ending endpoint of the temperature change sub-curve segment are connected in sequence to obtain a temperature change polyline segment;

[0027] Based on the vehicle voltage change curve, the vehicle voltage change curve is divided into a plurality of vehicle voltage change sub-curve segments;

[0028] Among them, the division method of the vehicle voltage change curve is the same as the division method of the temperature change curve;

[0029] The opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment within the same monitoring time period are obtained and compared, wherein the opening direction includes upward and downward. The specific comparison process is as follows:

[0030] If the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment are both upward or both downward, a change trend similarity signal is generated, and the monitoring time period corresponding to the generation of the change trend similarity signal is marked as a trend similarity time period;

[0031] If the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment are not the same upward or the same downward, a change trend non-similar signal is generated, and the monitoring time period corresponding to the generation of the change trend non-similar signal is marked as a trend non-similar time period;

[0032] Get the time length value corresponding to the trend similarity time period and mark it as the trend similarity time value;

[0033] In the monitoring period, all trend similarity time values ​​are obtained and added up to obtain the trend similarity total time value;

[0034] Calculate the ratio of the total trend similarity time value to the time length value corresponding to the monitoring period to obtain the total trend similarity time ratio;

[0035] Based on the trend similarity time period, the angle value of the temperature change broken line segment and the angle value of the vehicle voltage change broken line segment in the trend similar time period are obtained, and they are marked as the temperature change angle value and the vehicle voltage change angle value respectively;

[0036] Calculate the ratio of the temperature change angle value and the vehicle voltage change angle value in the same trend and similar time period to obtain the angle change synchronization coefficient;

[0037] Integrate all the angle change synchronization coefficients within the monitoring period into an angle change synchronization data group, and calculate the variance of the angle change synchronization data group to obtain a trend similarity value;

[0038] The fluctuation synchronization value is obtained by calculating the ratio of the total trend similarity time ratio and the trend similarity degree value.

[0039] As a further solution of the present invention: the temperature change curve is obtained as follows:

[0040] In the monitoring cycle, the monitored temperature value in each monitoring time period is obtained, and an XY axis coordinate system is established, where the X axis represents time and the Y axis represents temperature. The monitored temperature value is substituted into the XY axis coordinate system, and a temperature change curve is drawn;

[0041] The method for obtaining the vehicle voltage change curve is as follows:

[0042] During the monitoring cycle, the vehicle voltage value of each monitoring time period is obtained, and an XY axis coordinate system is established, where the X axis represents time and the Y axis represents the vehicle voltage. The vehicle voltage value is substituted into the XY axis coordinate system, and the vehicle voltage change curve is drawn.

[0043] As a further solution of the present invention: the process of optimizing and adjusting the vehicle voltage is as follows:

[0044] Get All monitored temperature values ​​within the period are summed up and averaged to obtain the average monitored temperature value;

[0045] Subtract the current monitored temperature value from the average monitored temperature value to obtain the required temperature adjustment amount;

[0046] Get the current vehicle voltage value, and substitute the current vehicle voltage value and the required adjustment amount for the current temperature into the formula: , calculate the adjusted vehicle voltage value ,in, Indicates the current vehicle voltage value. It is expressed as the required temperature adjustment, and K is expressed as the adjustment coefficient.

[0047] As a further solution of the present invention: the adjustment coefficient is obtained in the following manner:

[0048] All the angle change synchronization coefficients within the monitoring period are added and averaged to obtain the adjustment coefficient.

[0049] An intelligent monitoring system for vehicle-mounted refrigeration equipment, the system comprising:

[0050] Temperature monitoring module: During the monitoring period, the vehicle refrigeration equipment is monitored by setting a temperature sensor to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value;

[0051] Analysis and evaluation module: based on the temperature fluctuation range value and the temperature fluctuation degree value, a refrigeration performance value is obtained and compared with a threshold value. If the refrigeration performance value is greater than the refrigeration performance threshold value, a refrigeration performance instability signal is generated;

[0052] Synchronous analysis module: when a cooling performance unstable signal is generated, the vehicle voltage fluctuation within the monitoring period is monitored to obtain the vehicle voltage data, wherein the vehicle voltage data includes the vehicle voltage value, and the temperature fluctuation within the monitoring period is analyzed with the vehicle voltage fluctuation to obtain the fluctuation synchronization value, and the fluctuation synchronization value is compared with the fluctuation synchronization threshold value, and if the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold value, a fluctuation synchronization signal is generated;

[0053] Optimization and adjustment module: When a fluctuation synchronization signal is generated, the adjustment coefficient is obtained to complete the optimization and adjustment of the vehicle voltage fluctuation range.

[0054] The beneficial effects of the present invention are as follows:

[0055] (1) The present invention monitors the vehicle refrigeration equipment by setting a temperature sensor to obtain monitoring data during a monitoring period, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value. When the temperature fluctuation range value and the temperature fluctuation degree value are obtained, the temperature fluctuation range value and the temperature fluctuation degree value are substituted into a formula to calculate a refrigeration performance value. If the refrigeration performance value is greater than a refrigeration performance threshold, a refrigeration performance unstable signal is generated. If the refrigeration performance value is less than or equal to the refrigeration performance threshold, a refrigeration performance stable signal is generated. Thus, during the monitoring period, by monitoring two different aspects, namely, the maximum amplitude range of the temperature fluctuation of the vehicle refrigerator and the overall temperature fluctuation degree, a comprehensive evaluation is made as to whether the refrigeration performance of the vehicle refrigerator is stable.

[0056] (2) When the present invention generates a refrigeration performance unstable signal, the vehicle voltage fluctuation within the monitoring period is monitored to obtain the vehicle voltage data, wherein the vehicle voltage data includes the vehicle voltage value, and the temperature fluctuation within the monitoring period is analyzed with the vehicle voltage fluctuation to obtain a trend similarity total time ratio and a trend similarity degree value, and the trend similarity total time ratio and the trend similarity degree value are calculated to obtain a fluctuation synchronization value, and the fluctuation synchronization value is compared with the fluctuation synchronization threshold value. If the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold value, a fluctuation synchronization signal is generated; if the fluctuation synchronization value is less than the fluctuation synchronization threshold value, a fluctuation non-synchronization signal is generated, thereby monitoring the vehicle voltage fluctuation and the vehicle refrigerator temperature fluctuation within the monitoring period, and analyzing and comparing them to determine whether the vehicle voltage is the cause of the vehicle refrigerator temperature fluctuation;

[0057] (3) When the present invention generates a fluctuation synchronization signal, it adds and averages all the angle change synchronization coefficients within the monitoring period to obtain the adjustment coefficient, and obtains the mean value of the monitored temperature to obtain the required temperature adjustment amount. The adjustment of the current vehicle voltage fluctuation range is completed through formula calculation. Therefore, by adjusting the current vehicle voltage fluctuation range, the problem of unstable refrigeration performance caused by temperature fluctuation of the current vehicle refrigerator equipment is solved, and the refrigeration or freezing effect of the vehicle refrigerator equipment is optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The present invention will be further described below in conjunction with the accompanying drawings.

[0059] Figure 1 is a flowchart of the steps of Embodiment 1 of the present invention;

[0060] Figure 2 is a flowchart of the steps of Embodiment 2 of the present invention;

[0061] Figure 3 is a flowchart of the steps of Embodiment 3 of the present invention;

[0062] Figure 4 It is a system module diagram of embodiment 4 of the present invention. DETAILED DESCRIPTION

[0063] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0064] Example 1

[0065] like Figure 1 As shown, an intelligent monitoring method for a vehicle-mounted refrigeration device according to an embodiment of the present invention includes:

[0066] Step 1: During the monitoring period, the vehicle refrigeration equipment is monitored to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value;

[0067] In some embodiments, during the monitoring period, the vehicle-mounted refrigeration equipment is monitored by setting a temperature sensor to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value;

[0068] It should be noted that the vehicle-mounted refrigeration equipment is a vehicle-mounted refrigerator equipment;

[0069] In the monitoring cycle, the monitoring cycle is divided into several monitoring time periods according to equal time intervals (the time interval can be 3 minutes, 5 minutes, 10 minutes, etc.). In the monitoring time period, the monitoring time period is divided into several time nodes, and the temperature value corresponding to each time node is obtained and marked as the monitoring temperature value;

[0070] First, the temperature fluctuation range value is obtained in the following way:

[0071] Based on the monitored temperature values, the monitored temperature values ​​within the monitoring time period are compared, and the maximum monitored temperature value and the minimum monitored temperature value within the monitoring time period are extracted, and marked as the maximum monitored temperature value and the minimum monitored temperature value respectively;

[0072] The maximum value of the monitored temperature and the minimum value of the monitored temperature are subtracted to obtain the temperature change amplitude value within the monitoring time period;

[0073] It should be noted that the maximum and minimum monitored temperatures are both within the normal refrigeration temperature range preset by the vehicle refrigerator.

[0074] Specifically, the preset normal refrigeration temperature range of the vehicle refrigerator device means: this is a temperature range set when the vehicle refrigerator is designed, aiming to ensure that the vehicle refrigerator device is maintained within this temperature range to achieve the best refrigeration or freezing effect;

[0075] The temperature variation range values ​​in all monitoring time periods within the monitoring cycle are summed and averaged to obtain the temperature fluctuation range value;

[0076] It can be understood that the meaning of the temperature fluctuation range value is: the average of the maximum change amplitude (i.e. the difference between the highest temperature and the lowest temperature) experienced by the vehicle refrigerator device during the monitoring period. This value reflects the degree of temperature change of the vehicle refrigerator device during the monitoring period. Specifically, it measures the range of temperature change from one extreme value (minimum monitoring temperature) to another extreme value (maximum monitoring temperature), and obtains a value that can represent the overall fluctuation characteristics by taking the average value of all such change range values ​​during the entire monitoring period. If this value is large, it means that the monitoring temperature has large fluctuations during the entire monitoring period, and the refrigeration performance of the vehicle refrigerator device is relatively unstable; conversely, if this value is small, it means that the monitoring temperature has small fluctuations during the entire monitoring period, and the refrigeration performance of the vehicle refrigerator device is relatively stable.

[0077] The second specific method for obtaining the temperature fluctuation value is:

[0078] Based on the monitored temperature values, the monitored temperature values ​​corresponding to all time nodes in each monitoring time period are integrated into a monitoring temperature data group, and the variance of the monitoring temperature data group is calculated to obtain the temperature change degree value of the monitoring time period;

[0079] The temperature variation degree values ​​of all monitoring time periods within the monitoring cycle are summed and averaged to obtain the temperature fluctuation degree value;

[0080] It can be understood that: the meaning of the temperature fluctuation degree value is: in the monitoring period, by monitoring and analyzing the average degree of change of the monitored temperature value of the vehicle refrigerator device in the entire monitoring period, this value quantifies the severity of the temperature change by calculating the variance of the monitored temperature value in each monitoring time period, and taking the average value of these variance values ​​in the entire monitoring period, so as to obtain a value that can reflect the overall temperature fluctuation characteristics. Specifically, if this value is large, it means that the monitored temperature fluctuates greatly in the entire monitoring period, and the refrigeration performance of the vehicle refrigerator device is relatively unstable. If this value is small, it means that the monitored temperature fluctuates little in the entire monitoring period, and the refrigeration performance of the vehicle refrigerator device is relatively stable.

[0081] Step 2: Based on the temperature fluctuation range value and the temperature fluctuation degree value, the refrigeration performance value is calculated and compared with the threshold value to generate a signal indicating whether the refrigeration performance is stable;

[0082] Wherein, whether the refrigeration performance is stable includes a refrigeration performance stable signal or a refrigeration performance unstable signal;

[0083] In some embodiments, when the temperature fluctuation range value and the temperature fluctuation degree value are obtained, the temperature fluctuation range value and the temperature fluctuation degree value are substituted into the formula: , calculate the refrigeration performance value ,in, Expressed as the temperature fluctuation range value, Expressed as the temperature fluctuation value, , Expressed as a preset weight coefficient;

[0084] It is understandable that: is the weight ratio of the temperature fluctuation range to the refrigeration performance value, The weight ratio of the temperature fluctuation value to the refrigeration performance value;

[0085] The cooling performance value is compared with the cooling performance threshold value, and the comparison process is as follows:

[0086] If the refrigeration performance value is greater than the refrigeration performance threshold, it means that within the monitoring period, the maximum fluctuation range of the monitored temperature is large, the average fluctuation degree is large, the refrigeration performance of the vehicle refrigerator device is relatively unstable, and a refrigeration performance unstable signal is generated;

[0087] If the refrigeration performance value is less than or equal to the refrigeration performance threshold, it means that within the monitoring period, the maximum fluctuation range of the monitored temperature is small, the average fluctuation degree is small, the refrigeration performance of the vehicle refrigerator device is relatively stable, and a refrigeration performance stability signal is generated;

[0088] What needs further explanation is: Refrigeration performance value The meaning is: it is a comprehensive evaluation index that comprehensively considers the maximum fluctuation amplitude of the temperature of the vehicle refrigerator equipment during the entire monitoring period (i.e., the temperature fluctuation range value) and the average fluctuation intensity of the temperature change (i.e., the temperature fluctuation degree value), reflecting the stability of the refrigeration performance of the vehicle refrigerator equipment. Specifically, when the refrigeration performance value is large, it means that during the monitoring period, the temperature fluctuation amplitude range of the vehicle refrigerator equipment is large and the temperature fluctuation degree is large, indicating that the refrigeration performance of the vehicle refrigerator equipment is unstable or greatly affected by external factors. On the contrary, when the refrigeration performance value is small, it means that the temperature fluctuation amplitude range of the vehicle refrigerator is small and the temperature fluctuation degree is small, indicating that the refrigeration work of the vehicle refrigerator is relatively stable.

[0089] The specific implementation scheme of the embodiment of the present invention is as follows: within a monitoring period, a temperature sensor is set to monitor the vehicle refrigeration equipment to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value. When the temperature fluctuation range value and the temperature fluctuation degree value are obtained, the temperature fluctuation range value and the temperature fluctuation degree value are substituted into a formula to calculate a refrigeration performance value. If the refrigeration performance value is greater than a refrigeration performance threshold, a refrigeration performance unstable signal is generated. If the refrigeration performance value is less than or equal to the refrigeration performance threshold, a refrigeration performance stable signal is generated. Thus, within the monitoring period, by monitoring two different aspects, namely, the maximum amplitude range of the temperature fluctuation of the vehicle refrigerator and the overall temperature fluctuation degree, a comprehensive evaluation is made as to whether the refrigeration performance of the vehicle refrigerator is stable.

[0090] Example 2

[0091] like Figure 2 As shown, based on the above embodiment 1, during the monitoring period, it is monitored that the refrigeration performance of the vehicle refrigerator is unstable. Now, it is analyzed whether the vehicle voltage is the cause of the temperature fluctuation of the vehicle refrigerator. An intelligent monitoring method for a vehicle refrigeration device according to an embodiment of the present invention includes:

[0092] Step 3: Based on the unstable cooling performance signal, a voltage sensor is set to monitor the vehicle voltage to obtain vehicle voltage data, wherein the vehicle voltage data includes a vehicle voltage value, and the vehicle voltage data and the monitoring data are combined and analyzed to obtain a fluctuation synchronization value, and the fluctuation synchronization value is compared with the fluctuation synchronization threshold to generate a fluctuation synchronization signal;

[0093] Wherein, whether the fluctuation is synchronous signal includes a fluctuation synchronous signal or a fluctuation non-synchronous signal;

[0094] Specifically, in the monitoring cycle, the monitored temperature value in each monitoring time period is obtained, and an XY axis coordinate system is established, wherein the X axis represents time and the Y axis represents temperature, and the monitored temperature value is substituted into the XY axis coordinate system, and a temperature change curve is obtained by plotting;

[0095] It should be noted that the temperature change curve represents the change curve of the monitored temperature value during the entire monitoring period;

[0096] During the monitoring cycle, the vehicle voltage value of each monitoring time period is obtained, and an XY axis coordinate system is established, wherein the X axis represents time and the Y axis represents the vehicle voltage. The vehicle voltage value is substituted into the XY axis coordinate system, and a vehicle voltage change curve is obtained by plotting;

[0097] It should be noted that the vehicle voltage change curve represents the change curve of the vehicle voltage value during the entire monitoring period;

[0098] Based on the temperature change curve, the temperature change curve is divided into a plurality of temperature change sub-curve segments;

[0099] The division condition is: the time length between the two end points of the temperature change sub-curve segment is equal to the time length corresponding to the monitoring time period;

[0100] Based on the temperature change sub-curve segment, two endpoints and a midpoint of each temperature change sub-curve segment are obtained, and the two endpoints and a midpoint of each temperature change sub-curve segment are marked as a start endpoint, an end endpoint and a midpoint of the temperature change sub-curve segment respectively;

[0101] It should be noted that the midpoint of the temperature change sub-curve segment represents the curve value corresponding to the midpoint of the time points at both ends of the temperature change sub-curve segment;

[0102] The starting endpoint, the midpoint and the ending endpoint of the temperature change sub-curve segment are connected in sequence to obtain a temperature change polyline segment;

[0103] Based on the vehicle voltage change curve, the vehicle voltage change curve is divided into a plurality of vehicle voltage change sub-curve segments;

[0104] Among them, the division method of the vehicle voltage change curve is the same as the division method of the temperature change curve;

[0105] The opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment within the same monitoring time period are obtained and compared, wherein the opening direction includes upward and downward. The specific comparison process is as follows:

[0106] If the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment are both upward or downward, it means that the vehicle voltage change trend is similar to the temperature change trend, and a change trend similarity signal is generated, and the monitoring time period corresponding to the generation of the change trend similarity signal is marked as a trend similarity time period;

[0107] If the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment are not the same upward or the same downward, it means that the vehicle voltage change trend is not similar to the temperature change trend, and a change trend dissimilar signal is generated, and the monitoring time period corresponding to the generation of the change trend dissimilar signal is marked as a trend dissimilar time period;

[0108] Get the time length value corresponding to the trend similarity time period and mark it as the trend similarity time value;

[0109] In the monitoring period, all trend similarity time values ​​are obtained and added up to obtain the trend similarity total time value;

[0110] Calculate the ratio of the total trend similarity time value to the time length value corresponding to the monitoring period to obtain the total trend similarity time ratio;

[0111] Based on the trend similarity time period, the angle value of the temperature change broken line segment and the angle value of the vehicle voltage change broken line segment in the trend similar time period are obtained, and they are marked as the temperature change angle value and the vehicle voltage change angle value respectively;

[0112] Calculate the ratio of the temperature change angle value and the vehicle voltage change angle value in the same trend and similar time period to obtain the angle change synchronization coefficient;

[0113] Integrate all the angle change synchronization coefficients within the monitoring period into an angle change synchronization data group, and calculate the variance of the angle change synchronization data group to obtain a trend similarity value;

[0114] The trend similarity total time ratio and the trend similarity degree value are calculated to obtain the fluctuation synchronization value;

[0115] It can be understood that the meaning of the fluctuation synchronization value is: a quantitative index of the synchronization or similarity between the vehicle voltage change trend and the temperature change trend during the monitoring period. This value is obtained by comprehensively considering the similarity time ratio of the two change trends (i.e., the total trend similarity time ratio) and the variance of the change angle ratio of the two during the monitoring period (i.e., the trend similarity value). Specifically, the larger the synchronization fluctuation value, the greater the impact of the vehicle voltage fluctuation on the vehicle refrigerator temperature fluctuation. On the contrary, the smaller this value is, the lower the synchronization degree between the vehicle voltage fluctuation and the vehicle refrigerator temperature fluctuation is, and the smaller the impact of the vehicle fluctuation on the vehicle refrigerator temperature fluctuation is.

[0116] The fluctuation synchronization value is compared with the fluctuation synchronization threshold. The comparison process is as follows:

[0117] If the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold, it means that the higher the degree of synchronization between the fluctuation of the vehicle voltage and the fluctuation of the vehicle refrigerator temperature, the greater the impact of the vehicle voltage fluctuation on the vehicle refrigerator temperature fluctuation, and a fluctuation synchronization signal is generated;

[0118] If the fluctuation synchronization value is less than the fluctuation synchronization threshold, it means that the degree of synchronization between the fluctuation of the vehicle voltage and the fluctuation of the vehicle refrigerator temperature is lower, and the impact of the vehicle fluctuation on the fluctuation of the vehicle refrigerator temperature is smaller, and a fluctuation non-synchronization signal is generated;

[0119] The specific implementation scheme of the embodiment of the present invention is as follows: when a refrigeration performance unstable signal is generated, the vehicle voltage fluctuation within the monitoring period is monitored to obtain the vehicle voltage data, wherein the vehicle voltage data includes the vehicle voltage value, and the temperature fluctuation within the monitoring period is analyzed with the vehicle voltage fluctuation to obtain the trend similarity total time ratio and the trend similarity degree value, the trend similarity total time ratio and the trend similarity degree value are ratio-calculated to obtain the fluctuation synchronization value, the fluctuation synchronization value is compared with the fluctuation synchronization threshold, if the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold, a fluctuation synchronization signal is generated, if the fluctuation synchronization value is less than the fluctuation synchronization threshold, a fluctuation non-synchronization signal is generated, thereby monitoring the vehicle voltage fluctuation and the vehicle refrigerator temperature fluctuation within the monitoring period, and analyzing and comparing, to determine whether the vehicle voltage is the cause of the vehicle refrigerator temperature fluctuation;

[0120] Example 3

[0121] like Figure 3 As shown, based on the above-mentioned embodiment 1 and embodiment 2, an intelligent monitoring method for a vehicle-mounted refrigeration equipment according to an embodiment of the present invention includes:

[0122] Step 4: Based on the fluctuation synchronization signal, the voltage adjustment coefficient is obtained to optimize and adjust the refrigeration performance of the vehicle refrigerator equipment stably;

[0123] In some embodiments, when a fluctuation synchronization signal is generated, an adjustment coefficient is obtained to complete the optimization adjustment of the vehicle voltage;

[0124] The adjustment coefficient is obtained as follows:

[0125] All the angle change synchronization coefficients within the monitoring period are added and averaged to obtain the adjustment coefficient;

[0126] The process of optimizing the vehicle voltage is as follows:

[0127] Obtain all monitored temperature values ​​within the monitoring period, add and average all monitored temperature values ​​within the monitoring period, and obtain the monitored temperature average;

[0128] Subtract the current monitored temperature value from the average monitored temperature value to obtain the required temperature adjustment amount;

[0129] Get the current vehicle voltage value, and substitute the current vehicle voltage value and the required adjustment amount for the current temperature into the formula: , calculate the adjusted vehicle voltage value ,in, Indicates the current vehicle voltage value. It is expressed as the required adjustment amount for temperature, and K is expressed as the adjustment coefficient;

[0130] The specific implementation plan of the embodiment of the present invention is: when a fluctuation synchronization signal is generated, all the angle change synchronization coefficients within the monitoring period are added and averaged to obtain the adjustment coefficient, and the mean value of the monitored temperature is obtained to obtain the required temperature adjustment amount, and the adjustment of the current vehicle voltage fluctuation range is completed through formula calculation. Therefore, by adjusting the current vehicle voltage fluctuation range, the problem of unstable refrigeration performance caused by temperature fluctuations of the current vehicle refrigerator equipment is solved, and the refrigeration or freezing effect of the vehicle refrigerator equipment is optimized.

[0131] Example 4

[0132] like Figure 4 As shown, based on the above-mentioned embodiment 1, embodiment 2 and embodiment 3, an intelligent monitoring system for a vehicle-mounted refrigeration equipment according to an embodiment of the present invention includes:

[0133] Temperature monitoring module: During the monitoring period, the vehicle refrigeration equipment is monitored by setting a temperature sensor to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value;

[0134] Analysis and evaluation module: based on the temperature fluctuation range value and the temperature fluctuation degree value, a refrigeration performance value is obtained and compared with a threshold value. If the refrigeration performance value is greater than the refrigeration performance threshold value, a refrigeration performance instability signal is generated;

[0135] Synchronous analysis module: when a cooling performance unstable signal is generated, the vehicle voltage fluctuation within the monitoring period is monitored to obtain the vehicle voltage data, wherein the vehicle voltage data includes the vehicle voltage value, and the temperature fluctuation within the monitoring period is analyzed with the vehicle voltage fluctuation to obtain the fluctuation synchronization value, and the fluctuation synchronization value is compared with the fluctuation synchronization threshold value, and if the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold value, a fluctuation synchronization signal is generated;

[0136] Optimization and adjustment module: When a fluctuation synchronization signal is generated, the adjustment coefficient is obtained to complete the optimization and adjustment of the vehicle voltage fluctuation range.

[0137] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent monitoring method for vehicle-mounted refrigeration equipment, characterized in that: include: Step 1: During the monitoring period, the vehicle refrigeration equipment is monitored by setting a temperature sensor to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value; Step 2: Based on the temperature fluctuation range value and the temperature fluctuation degree value, a refrigeration performance value is obtained, and compared with a threshold value. If the refrigeration performance value is greater than the refrigeration performance threshold value, a refrigeration performance unstable signal is generated; Step 3: When the refrigeration performance unstable signal is generated, the vehicle voltage fluctuation within the monitoring period is monitored to obtain the vehicle voltage data, wherein the vehicle voltage data includes the vehicle voltage value, and the temperature fluctuation within the monitoring period is analyzed with the vehicle voltage fluctuation to obtain the fluctuation synchronization value, and the fluctuation synchronization value is compared with the fluctuation synchronization threshold value, and if the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold value, a fluctuation synchronization signal is generated; The temperature change curve is divided into a plurality of temperature change sub-curve segments, and two endpoints and a midpoint of each temperature change sub-curve segment are obtained, and the two endpoints and a midpoint of the temperature change sub-curve segment are marked as the starting endpoint, the ending endpoint and the midpoint of the temperature change sub-curve segment respectively, and the two endpoints and the midpoint are connected to obtain a temperature change polyline segment; Dividing the vehicle voltage variation curve into a plurality of vehicle voltage variation sub-curve segments; Among them, the division method of the vehicle voltage change curve is the same as the division method of the temperature change curve; Obtaining and comparing the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment within the same monitoring time period, if the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment are both upward or both downward, a change trend similarity signal is generated, and the monitoring time period corresponding to the generation of the change trend similarity signal is marked as a trend similarity time period; Obtain the time length value corresponding to the trend similarity time period, mark it as the trend similarity time value, and within the monitoring period, add up all the trend similarity time values ​​to obtain the trend similarity total time value; Calculate the ratio of the total trend similarity time value to the time length value corresponding to the monitoring period to obtain the total trend similarity time ratio; Obtain the angle value of the temperature change broken line segment and the angle value of the vehicle voltage change broken line segment in a time period with similar trends, mark them as the temperature change angle value and the vehicle voltage change angle value respectively, calculate the ratio of the temperature change angle value and the vehicle voltage change angle value in the same trend similar time period, and obtain the angle change synchronization coefficient; Integrate all the angle change synchronization coefficients within the monitoring period into an angle change synchronization data group, and calculate the variance of the angle change synchronization data group to obtain a trend similarity value; The trend similarity total time ratio and the trend similarity degree value are calculated to obtain the fluctuation synchronization value; Step 4: When the fluctuation synchronization signal is generated, the adjustment coefficient is obtained to complete the optimization adjustment of the vehicle voltage fluctuation range; All the angle change synchronization coefficients within the monitoring period are added and averaged to obtain the adjustment coefficient.

2. The intelligent monitoring method for vehicle-mounted refrigeration equipment according to claim 1, characterized in that: The monitoring temperature value is obtained as follows: During the monitoring cycle, the monitoring cycle is divided into several monitoring time periods according to equal time intervals. During the monitoring time period, the monitoring time period is divided into several time nodes. The temperature value corresponding to each time node is obtained and marked as the monitoring temperature value.

3. The intelligent monitoring method for vehicle-mounted refrigeration equipment according to claim 1 is characterized in that: The temperature fluctuation range value is obtained as follows: Based on the monitored temperature values, the monitored temperature values ​​within the monitoring time period are compared, and the maximum monitored temperature value and the minimum monitored temperature value within the monitoring time period are extracted, and marked as the maximum monitored temperature value and the minimum monitored temperature value respectively; Subtract the maximum value of the monitored temperature from the minimum value of the monitored temperature to obtain the temperature variation range value; All temperature variation range values ​​within the monitoring period are added and averaged to obtain the temperature fluctuation range value.

4. The intelligent monitoring method for vehicle-mounted refrigeration equipment according to claim 1, characterized in that: The temperature fluctuation value is obtained as follows: Based on the monitored temperature value, the monitored temperature value in each monitoring time period is calculated to obtain the temperature change degree value; All temperature change values ​​within the monitoring period are added together and averaged to calculate the temperature fluctuation value.

5. The intelligent monitoring method for vehicle-mounted refrigeration equipment according to claim 1, characterized in that: The refrigeration performance value is obtained as follows: Substitute the temperature fluctuation range and temperature fluctuation degree values ​​into the formula: , calculate the refrigeration performance value ,in, Expressed as the temperature fluctuation range value, Expressed as the temperature fluctuation value, , Represented as a preset weight coefficient.

6. The intelligent monitoring method for vehicle-mounted refrigeration equipment according to claim 5, characterized in that: The temperature change curve is obtained as follows: In the monitoring cycle, the monitored temperature value in each monitoring time period is obtained, and an XY axis coordinate system is established, where the X axis represents time and the Y axis represents temperature. The monitored temperature value is substituted into the XY axis coordinate system, and a temperature change curve is drawn; The method for obtaining the vehicle voltage change curve is as follows: During the monitoring cycle, the vehicle voltage value of each monitoring time period is obtained, and an XY axis coordinate system is established, where the X axis represents time and the Y axis represents the vehicle voltage. The vehicle voltage value is substituted into the XY axis coordinate system, and the vehicle voltage change curve is drawn.

7. The intelligent monitoring method for vehicle-mounted refrigeration equipment according to claim 1, characterized in that: The process of optimizing vehicle voltage is as follows: Obtain all monitored temperature values ​​within the monitoring period, add and average all monitored temperature values ​​within the monitoring period, and obtain the monitored temperature average; Subtract the current monitored temperature value from the average monitored temperature value to obtain the required temperature adjustment amount; Get the current vehicle voltage value, and substitute the current vehicle voltage value and the required adjustment amount for the current temperature into the formula: , calculate the adjusted vehicle voltage value ,in, Indicates the current vehicle voltage value. It is expressed as the required temperature adjustment, and K is expressed as the adjustment coefficient.

8. An intelligent monitoring system for vehicle-mounted refrigeration equipment, the system being used to execute the method according to any one of claims 1 to 7, characterized in that: The system includes: Temperature monitoring module: During the monitoring period, the vehicle refrigeration equipment is monitored by setting a temperature sensor to obtain monitoring data, wherein the monitoring data includes a temperature fluctuation range value and a temperature fluctuation degree value; Analysis and evaluation module: based on the temperature fluctuation range value and the temperature fluctuation degree value, a refrigeration performance value is obtained and compared with a threshold value. If the refrigeration performance value is greater than the refrigeration performance threshold value, a refrigeration performance instability signal is generated; Synchronous analysis module: when a cooling performance unstable signal is generated, the vehicle voltage fluctuation within the monitoring period is monitored to obtain the vehicle voltage data, wherein the vehicle voltage data includes the vehicle voltage value, and the temperature fluctuation within the monitoring period is analyzed with the vehicle voltage fluctuation to obtain the fluctuation synchronization value, and the fluctuation synchronization value is compared with the fluctuation synchronization threshold value, and if the fluctuation synchronization value is greater than or equal to the fluctuation synchronization threshold value, a fluctuation synchronization signal is generated; The temperature change curve is divided into a plurality of temperature change sub-curve segments, and two endpoints and a midpoint of each temperature change sub-curve segment are obtained, and the two endpoints and a midpoint of the temperature change sub-curve segment are marked as the starting endpoint, the ending endpoint and the midpoint of the temperature change sub-curve segment respectively, and the two endpoints and the midpoint are connected to obtain a temperature change polyline segment; Dividing the vehicle voltage variation curve into a plurality of vehicle voltage variation sub-curve segments; Among them, the division method of the vehicle voltage change curve is the same as the division method of the temperature change curve; Obtaining and comparing the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment within the same monitoring time period, if the opening direction of the temperature change broken line segment and the opening direction of the vehicle voltage change broken line segment are both upward or both downward, a change trend similarity signal is generated, and the monitoring time period corresponding to the generation of the change trend similarity signal is marked as a trend similarity time period; Obtain the time length value corresponding to the trend similarity time period, mark it as the trend similarity time value, and within the monitoring period, add up all the trend similarity time values ​​to obtain the trend similarity total time value; Calculate the ratio of the total trend similarity time value to the time length value corresponding to the monitoring period to obtain the total trend similarity time ratio; Obtain the angle value of the temperature change broken line segment and the angle value of the vehicle voltage change broken line segment in a time period with similar trends, mark them as the temperature change angle value and the vehicle voltage change angle value respectively, calculate the ratio of the temperature change angle value and the vehicle voltage change angle value in the same trend similar time period, and obtain the angle change synchronization coefficient; Integrate all the angle change synchronization coefficients within the monitoring period into an angle change synchronization data group, and calculate the variance of the angle change synchronization data group to obtain a trend similarity value; The trend similarity total time ratio and the trend similarity degree value are calculated to obtain the fluctuation synchronization value; Optimization and adjustment module: when the fluctuation synchronization signal is generated, the adjustment coefficient is obtained to complete the optimization and adjustment of the vehicle voltage fluctuation range; All the angle change synchronization coefficients within the monitoring period are added and averaged to obtain the adjustment coefficient.

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