Compartment safety temperature range determination and cargo transportation quality risk early warning method

Abstract

The invention provides a carriage safety temperature range determination and cargo transportation quality risk early warning method, and relates to the technical field of cold-chain logistics. The compartment safety temperature range determining method comprises the steps that a historical data set of target goods transported by a cold chain transport vehicle under the condition that preset transport conditions are met is obtained; wherein each piece of historical data in the historical data set comprises a historical temperature value and an acquisition moment corresponding to the historical temperature value; generating a target data set according to the historical data set; generating a plurality of target data subsets according to the target data set, and determining an initial safe temperature range corresponding to each target data subset; and according to each initial safe temperature range, determining a target safe temperature range corresponding to the target goods transported by the cold-chain transport vehicle. According to the invention, the problem that the efficiency and accuracy of cargo temperature monitoring are reduced due to the fact that temperature early warning is carried out on the interior of the compartment of the cold-chain transport vehicle based on a manually preset temperature threshold value in the prior art and frequent false alarm is easy to occur can be effectively solved.

Description

Technical Field

[0001] The present application relates to the field of cold chain logistics technology, and specifically to a method and device for determining a safe temperature range of a carriage, a method and device for early warning of cargo transportation quality risks, an electronic device, and a machine-readable storage medium. Background Art

[0002] During the cold chain logistics transportation process, it is crucial to ensure the quality of the goods in the carriage and the safety of transportation that the ambient temperature meets the requirements.

[0003] Traditional temperature monitoring relied on manually set maximum and minimum temperature thresholds to define a safe temperature range. When the temperature inside the vehicle compartment exceeded this range, an early warning mechanism would be triggered. However, this approach had significant drawbacks: The temperature thresholds had to be manually set for each transport mission, which was not only cumbersome but also prone to frequent false alarms if the temperature thresholds were not set appropriately, compromising monitoring efficiency and accuracy. Summary of the Invention

[0004] The purpose of the embodiments of the present application is to provide a method and device for determining a safe temperature range of a compartment, a method and device for early warning of cargo transportation quality risks, an electronic device, and a machine-readable storage medium, so as to solve the problem in the prior art of providing temperature early warnings inside the compartments of cold chain transport vehicles based on manually preset temperature thresholds, which is prone to frequent false alarms and reduces the efficiency and accuracy of cargo temperature monitoring.

[0005] In order to achieve the above-mentioned objectives, the present application provides, in a first aspect, a method for determining a safe temperature range of a vehicle compartment, the method comprising:

[0006] Obtain a historical data set of target goods transported by a cold chain transport vehicle under preset transport conditions; wherein the historical data set includes multiple historical data, each historical data includes a historical temperature value and a collection time corresponding to the historical temperature value; wherein the historical temperature value is the temperature value inside the compartment of the cold chain transport vehicle when the target goods are transported;

[0007] Generate a target data set according to the historical data set; wherein the target data set includes a plurality of target data;

[0008] generating a plurality of target data subsets according to the target data set, and determining an initial safety temperature range corresponding to each target data subset;

[0009] Based on each initial safety temperature range, determine the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle.

[0010] In an embodiment of the present application, generating a target data set based on the historical data set includes:

[0011] Determine a temperature change rate corresponding to each historical data except the first historical data in the historical data set;

[0012] For each temperature change rate, if the temperature change rate meets a preset temperature change condition, the historical data corresponding to the temperature change rate is determined as the target data.

[0013] In an embodiment of the present application, multiple target data subsets are generated based on the target data set, including:

[0014] Determine the size and step size of the sliding window;

[0015] According to the size and step size of the sliding window, the target data set is slidingly valued to obtain multiple target data subsets; wherein the number of target data included in the target data subset is the size of the sliding window.

[0016] In the embodiment of the present application, determining the initial safe temperature range corresponding to each target data subset includes:

[0017] For each target data subset, the quartiles and interquartile range corresponding to the target data subset are determined based on the target data contained in the target data subset, and the initial safe temperature range corresponding to the target data subset is determined based on the quartiles and interquartile range corresponding to the target data subset.

[0018] In the embodiment of the present application, determining the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle based on each initial safety temperature range includes:

[0019] The intersection of each initial safety temperature range is determined as the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle.

[0020] A second aspect of the present application provides a method for early warning of cargo transportation quality risks, the method comprising:

[0021] Identify the goods to be transported;

[0022] The method for determining a safe temperature range of a carriage according to the first aspect is used to determine a target safe temperature range for the cold chain transport vehicle to transport the goods to be transported;

[0023] During the transportation of the goods to be transported, obtaining the internal temperature value of the cold chain transport vehicle;

[0024] Based on the target safety temperature range and the internal temperature value of the carriage, it is determined whether the goods to be transported have a quality risk. If so, a corresponding early warning operation is performed.

[0025] A third aspect of the present application provides a device for determining a safe temperature range of a vehicle compartment, the device comprising:

[0026] A data set acquisition module is used to acquire a historical data set of target goods transported by a cold chain transport vehicle under preset transport conditions; wherein the historical data set includes multiple historical data, each of which includes a historical temperature value and the collection time corresponding to the historical temperature value; wherein the historical temperature value is the temperature value inside the compartment of the cold chain transport vehicle when the target goods are transported;

[0027] A target data set generation module, configured to generate a target data set based on the historical data set; wherein the target data set includes a plurality of target data;

[0028] A first temperature range determination module is configured to generate a plurality of target data subsets based on the target data set, and determine an initial safe temperature range corresponding to each target data subset;

[0029] The second temperature range determination module is used to determine the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle based on each initial safety temperature range.

[0030] A fourth aspect of the present application provides a cargo transportation quality risk early warning device, the device comprising:

[0031] A cargo determination module is used to determine the cargo to be transported;

[0032] A target range determination module, configured to determine a target safety temperature range corresponding to the cargo to be transported by the cold chain transport vehicle using the carriage safety temperature range determination method described in the first aspect;

[0033] A temperature value acquisition module is used to obtain the internal temperature value of the cold chain transport vehicle during the transportation of the goods to be transported;

[0034] The quality risk warning module is used to determine whether the goods to be transported have quality risks based on the target safety temperature range and the temperature value inside the carriage, and if so, perform corresponding warning operations.

[0035] The fifth aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for determining the safe temperature range of the vehicle compartment described in the first aspect or the method for warning the quality risk of cargo transportation described in the second aspect is implemented.

[0036] The sixth aspect of the present application provides a machine-readable storage medium, which stores instructions. When the instructions are executed by a processor, the processor is configured to execute the method for determining the safe temperature range of the vehicle compartment described in the first aspect or the cargo transportation quality risk warning method described in the second aspect.

[0037] Through the above technical solution, based on the historical data set of cold chain transport vehicles transporting goods under preset transportation conditions, the target safe temperature range corresponding to the cold chain transport vehicles transporting the goods is determined, that is, a reasonable temperature range is set for each task of transporting the goods, which effectively avoids the frequent false alarm problems that are prone to occur when temperature warnings are based on manually preset temperature thresholds, thereby improving the efficiency and accuracy of cargo temperature monitoring.

[0038] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following detailed description, they are used to explain the embodiments of the present application but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings:

[0040] Figure 1 The following is a schematic diagram showing a flow chart of a method for determining a safe temperature range of a vehicle compartment according to an embodiment of the present application;

[0041] Figure 2 The following is a schematic diagram showing a flow chart of a method for early warning of cargo transportation quality risks according to an embodiment of the present application;

[0042] Figure 3 A block diagram schematically illustrates a structure of a device for determining a safe temperature range for a vehicle compartment according to an embodiment of the present application;

[0043] Figure 4 The following schematically shows a structural block diagram of a cargo transportation quality risk early warning device according to an embodiment of the present application;

[0044] Figure 5 The internal structure diagram of the computer device according to the embodiment of the present application is schematically shown.

[0045] Description of Reference Numerals

[0046] A01-Processor; A02-Network interface; A03-Internal memory; A04-Display screen; A05-Input device; A06-Non-volatile storage medium; B01-Operating system; B02-Computer program. DETAILED DESCRIPTION

[0047] To make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application and are not intended to limit the embodiments of the present application. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present application without making creative efforts are within the scope of protection of this application.

[0048] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0049] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0050] In view of the problem that the temperature warning inside the compartment of the cold chain transport vehicle in the related art is based on the manually preset temperature threshold, which is prone to frequent false alarms and reduces the efficiency and accuracy of cargo temperature monitoring, the present application provides a method and device for determining the safe temperature range of the compartment, a method and device for early warning of cargo transportation quality risks, an electronic device and a machine-readable storage medium. The present application is described in detail below with reference to specific examples and implementation methods in conjunction with the accompanying drawings.

[0051] Figure 1 The following is a schematic diagram showing a flow chart of a method for determining a safe temperature range of a vehicle compartment according to an embodiment of the present application. Figure 1 As shown, in one embodiment of the present application, a method for determining a safe temperature range of a vehicle compartment is provided, and the method may include the following steps.

[0052] Step A100: Obtain a historical data set of target goods transported by cold chain transport vehicles under preset transport conditions.

[0053] The preset transportation condition may include that the target goods have been delivered to the destination by a cold chain transport vehicle, or that the target goods have been transported by a cold chain transport vehicle for a period longer than a preset time threshold, and the quality of the target goods meets the preset requirements. It is understood that the preset transportation condition can be set based on actual needs, and this application does not specifically limit the preset transportation condition.

[0054] The historical data set includes a plurality of historical data, each of which includes a historical temperature value and a collection time corresponding to the historical temperature value. The historical temperature value is the temperature value inside the compartment of the cold chain transport vehicle when transporting the target goods.

[0055] It should be noted that, in the embodiment of the present application, the historical data are arranged in the historical data set in the order of the collection moments contained therein.

[0056] Specifically, historical temperature values can be collected using contact temperature measurement equipment (such as thermocouples, thermal resistors) or non-contact temperature measurement equipment (such as infrared thermometers, optical fiber temperature sensors). This application does not specifically limit the method of collecting historical temperature values.

[0057] In a specific example, a cold chain transport vehicle includes a control module and a data storage module. The control module is used to control the collection time interval and start time of the collection device (i.e., the device used to collect the internal temperature value of the vehicle compartment), and the data storage module is used to store the internal temperature data collected by the collection device (i.e., historical temperature values) and their corresponding collection times in the form of key-value pairs. It is worth mentioning that the internal temperature data collected by the collection device is stored in the data storage module (e.g., Redis) in the order of the collection times, thereby generating the historical data set.

[0058] By obtaining the internal temperature value of the cold chain transport vehicle's compartment when transporting the target cargo under the preset transportation conditions, the embodiment of the present application provides a scientific basis for determining the optimal safe temperature range for the cold chain transport vehicle when transporting the target cargo based on the actual internal temperature value of the compartment. Compared with the traditional early warning method based on manually preset temperature thresholds, this method can effectively avoid the frequent false alarms caused by unreasonable manual presets, thereby significantly improving the efficiency and accuracy of cargo temperature monitoring.

[0059] Step A200: Generate a target data set based on the historical data set.

[0060] The target data set includes multiple target data.

[0061] It should be noted that, in the embodiment of the present application, the target data is the historical data in the historical data set, and the target data is arranged in the target data set in the order of the collection moments contained therein.

[0062] In the embodiment of the present application, step A200 includes the following steps.

[0063] Step A210: Determine the temperature change rate corresponding to each historical data except the first historical data in the historical data set.

[0064] The temperature change rate represents the degree of temperature change between two adjacent acquisition moments.

[0065] In a specific example, the calculation formula for determining the temperature change rate corresponding to the historical data can be expressed as:

[0066]

[0067] Among them, v i represents the temperature change rate corresponding to the i-th historical data in the historical data set, (w i-1 ,t i-1 ) and (w i ,t i ) represent the i-1th and i-th historical data in the historical data set, respectively, w i-1 and w i Represent the historical temperature values in the i-1th and i-th historical data, t i-1 and t i Represent the collection moments in the i-1th and i-th historical data respectively.

[0068] In step A220 , for each temperature change rate, if the temperature change rate satisfies a preset temperature change condition, the historical data corresponding to the temperature change rate is determined as the target data.

[0069] In a specific example, the preset temperature change condition is that the absolute value of the temperature change rate is less than or equal to a preset temperature change threshold, wherein the preset temperature change threshold is a constant and a positive number.

[0070] In this example, the preset temperature change threshold is selected as 5°C / s, that is, v i ≤5℃ / s, (w i ,t i ) is determined as the target data. In addition, in this example, if the second historical data in the historical data set is the target data, the first historical data in the historical data set is also determined as the target data.

[0071] The embodiment of the present application preprocesses the historical data set and determines the historical data whose corresponding temperature change rate meets the preset temperature change condition as target data (i.e., valid temperature samples), thereby generating the target data set. This can effectively remove abnormal fluctuations and noise, improve data quality and reliability, enhance the accuracy of subsequent data analysis, and ultimately reduce false alarms.

[0072] Step A300: generating a plurality of target data subsets according to the target data set, and determining an initial safety temperature range corresponding to each target data subset.

[0073] In the embodiment of the present application, step A300 includes the following steps.

[0074] Step A310: Determine the size and step length of the sliding window.

[0075] The size of the sliding window refers to the number of data points contained in the window sliding on the data. In the embodiment of the present application, the size of the sliding window is the number of target data covered by each window in the target data set.

[0076] The stride of the sliding window refers to the distance the window moves each time when it moves on the data. The stride determines the frequency with which the window slides on the data. In this embodiment of the present application, if the stride of the sliding window is equal to 1, it means that the window moves one target data at a time in the target data set; if the stride of the sliding window is greater than 1, it means that the window moves multiple target data at a time in the target data set.

[0077] In a specific example, the size and step size of the sliding window are both preset values, wherein the size of the sliding window is set according to the collection time interval; the step size of the sliding window is selected as 1, and the sliding window slides in the time axis dimension.

[0078] Step A320: Slidingly sampling the target data set according to the size and step size of the sliding window to obtain multiple target data subsets.

[0079] The number of target data included in the target data subset is the size of the sliding window. It should be understood that in the embodiment of the present application, each target data subset obtained is a one-dimensional data set, and the target data are arranged in the target data subset according to the order of the collection time contained therein.

[0080] Step A330, for each target data subset, determine the quartiles and interquartile range corresponding to the target data subset based on the target data contained in the target data subset, and determine the initial safe temperature range corresponding to the target data subset based on the quartiles and interquartile range corresponding to the target data subset.

[0081] It is important to understand that after all the data in the sample are arranged from small to large and divided into four equal parts, the data at the three split points are the quartiles, that is, the quartiles include the first quartile, the second quartile (i.e., the median), and the third quartile. Among them, the first quartile is the data at the 25th percentile after all the data in the sample are arranged from small to large, the second quartile is the data at the 50th percentile after all the data in the sample are arranged from small to large, and the third quartile is the data at the 75th percentile after all the data in the sample are arranged from small to large.

[0082] In this embodiment of the present application, the quartiles corresponding to the target data subset include the first quartile, the second quartile, and the third quartile, where the first quartile, the second quartile, and the third quartile are the historical temperature values of the target data at the 25th, 50th, and 75th percentile positions, respectively, in the target data subset. The interquartile range corresponding to the target data subset is the difference between the third quartile and the first quartile corresponding to the target data subset, and can be expressed as:

[0083] IQR=Q3-Q1

[0084] Among them, IQR represents the interquartile range corresponding to the target data subset, Q1 and Q3 represent the first quartile and third quartile corresponding to the target data subset, respectively.

[0085] In the embodiment of the present application, the initial safe temperature range corresponding to the target data subset includes an upper temperature limit and a lower temperature limit. Based on the quartile and interquartile range corresponding to the target data subset, the calculation formula for determining the initial safe temperature range corresponding to the target data subset is as follows:

[0086] w max =Q3+1.5×IQR

[0087] w min =Q3-1.5×IQR

[0088] Among them, w max Indicates the upper temperature limit, w min Indicates the lower limit of temperature.

[0089] It should be understood that for each historical temperature value in the target data subset, if the historical temperature value is less than or equal to the upper temperature limit value corresponding to the target data subset, and the historical temperature value is greater than or equal to the lower temperature limit value corresponding to the target data subset, then the historical temperature value is a reasonable cooling temperature, otherwise it is an abnormal temperature.

[0090] The embodiment of the present application generates multiple target data subsets based on the target data set and determines the initial safe temperature range corresponding to each target data subset, thereby providing a basis for subsequently determining the final safe temperature range.

[0091] Step A400: Determine the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle based on each initial safety temperature range.

[0092] In the embodiment of the present application, step A400 includes the following steps.

[0093] In step A410, the intersection of each initial safety temperature range is determined as the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle.

[0094] It should be understood that, in the embodiments of the present application, each initial safety temperature range is a specific numerical interval, and the values at the left and right ends of the numerical interval are different.

[0095] The embodiment of the present application determines the intersection of each initial safety temperature range as the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle, that is, determines a comprehensive final safety temperature range, which can ensure the safety of the target goods during the cold chain transportation process.

[0096] It can be understood that the method for determining the safe temperature range of the carriage provided in the embodiment of the present application can directly process and analyze the collected historical temperature values and their corresponding collection times through the background service program mounted on the cold chain transport vehicle, so as to determine the target safe temperature range, or the collected historical temperature values and their corresponding collection times can be transmitted to a platform or device connected to it (wireless connection or wired connection), and the platform or device will perform data processing and analysis to determine the target safe temperature range. The specific method for determining the target safe temperature range can be selected according to actual needs and application scenarios.

[0097] It can be seen that the method for determining the safe temperature range of the carriage provided in the embodiment of the present application determines the target safe temperature range corresponding to the target goods transported by the cold chain transport vehicle based on the historical data set of the target goods transported by the cold chain transport vehicle under the preset transportation conditions, that is, sets a reasonable temperature range for the task of transporting the target goods for each trip, effectively avoiding the frequent false alarm problem that is prone to occur when temperature warnings are based on manually preset temperature thresholds, thereby improving the efficiency and accuracy of cargo temperature monitoring.

[0098] Figure 1 FIG. 1 is a flow chart of a method for determining a safe temperature range of a vehicle compartment according to an embodiment of the present invention. Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0099] Figure 2 The flowchart of the cargo transportation quality risk early warning method according to the embodiment of the present application is shown schematically. Figure 2 As shown, in one embodiment of the present application, a cargo transportation quality risk early warning method is provided, and the method may include the following steps.

[0100] Step B100: determine the goods to be transported.

[0101] The goods to be transported are goods placed in the compartment of a cold chain transport vehicle. In specific applications, step B100 can determine the goods to be transported through methods such as machine vision technology, RFID and barcode recognition, deep learning and artificial intelligence. This application does not specifically limit the specific implementation of step B100. It should be understood that the specific implementation of step B100 should be determined according to the equipment available in the actual application.

[0102] Step B200: Use the vehicle compartment safety temperature range determination method described in the above embodiment to determine the target safety temperature range corresponding to the cold chain transport vehicle transporting the goods to be transported.

[0103] It can be understood that after determining the goods to be transported, the target safety temperature range corresponding to the cold chain transport vehicle transporting the goods to be transported can be determined based on the historical data set of the cold chain transport vehicle transporting the goods to be transported that meets the preset transport conditions. The specific implementation method is the same as the carriage safety temperature range determination method provided in the above embodiment, which will not be repeated here.

[0104] Step B300: During the transportation of the goods to be transported, obtain the internal temperature value of the cold chain transport vehicle.

[0105] In an embodiment of the present application, during the transportation of the goods to be transported, a device for obtaining the internal temperature value of the compartment of the cold chain transport vehicle is installed in the cold chain transport vehicle. The device can be a contact temperature measuring device or a non-contact temperature measuring device. The present application does not specifically limit the method of obtaining the internal temperature value of the compartment of the cold chain transport vehicle in step B300.

[0106] In a specific example, step B300 obtains the interior temperature value of the vehicle compartment once at a preset acquisition cycle. After each interior temperature value of the vehicle compartment is obtained, step B400 is immediately executed to timely identify abnormal temperature and issue an early warning.

[0107] Step B400: Determine whether the cargo to be transported has a quality risk based on the target safety temperature range and the internal temperature value of the carriage. If so, perform corresponding early warning operations.

[0108] In an embodiment of the present application, the method of determining whether the goods to be transported have quality risks based on the target safety temperature range and the internal temperature value of the vehicle compartment in step B400 is specifically as follows: if the internal temperature value of the vehicle compartment falls within the target safety temperature range, it is determined that the goods to be transported do not have quality risks; otherwise, there are quality risks.

[0109] In a specific example, when step B400 determines that the goods to be transported have quality risks, the warning operation performed may be at least one of a sound alarm, a light prompt, a remote notification, and automatic temperature adjustment. Specifically, by issuing an alarm through a sound alarm and / or a warning light installed on the cold chain transport vehicle, the driver or on-site staff can be reminded of temperature anomalies; by sending the warning information to the manager's mobile terminal (such as a mobile phone or computer) via a wireless network, the manager can be aware of the situation and take measures in a timely manner; by automatically triggering a temperature adjustment signal, the relevant equipment on the cold chain transport vehicle (such as the refrigeration system) is instructed to make necessary temperature adjustments, so that temperature deviations can be quickly corrected.

[0110] It can be understood that the cargo transportation quality risk warning method provided in the embodiment of the present application can be executed by a background service program mounted on a cold chain transport vehicle, or by a platform or device connected to a cold chain transport vehicle. The specific method to implement the cargo transportation quality risk warning can be selected according to actual needs and application scenarios.

[0111] It can be seen that the cargo transportation quality risk warning method provided in the embodiment of the present application first adopts the carriage safety temperature range determination method described in the above embodiment to determine the target safety temperature range corresponding to the cold chain transport vehicle transporting the goods to be transported, and then determines whether there is a quality risk for the goods to be transported during the actual transportation process, and performs corresponding warning operations when it is determined that there is a quality risk, which can effectively reduce false alarms and improve the efficiency and accuracy of temperature monitoring of the goods to be transported.

[0112] Figure 3 The following schematically shows a structural block diagram of a device for determining a safe temperature range for a vehicle compartment according to an embodiment of the present application. Figure 3 As shown, in one embodiment of the present application, a vehicle compartment safety temperature range determination device is provided, and the vehicle compartment safety temperature range determination device may include the following functional modules.

[0113] The dataset acquisition module is configured to acquire a historical dataset of target cargo transported by a cold chain transport vehicle that meets preset transport conditions. The historical dataset includes multiple historical data points, each of which includes a historical temperature value and the time at which the historical temperature value was collected. The historical temperature value is the internal temperature of the cold chain transport vehicle's compartment when the target cargo was transported.

[0114] The target data set generation module is used to generate a target data set based on the historical data set, wherein the target data set includes a plurality of target data.

[0115] The first temperature range determination module is configured to generate a plurality of target data subsets according to the target data set, and determine an initial safety temperature range corresponding to each target data subset.

[0116] The second temperature range determination module is used to determine the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle based on each initial safety temperature range.

[0117] In an embodiment of the present application, the target dataset generation module may include:

[0118] The temperature change rate determination unit is used to determine the temperature change rate corresponding to each historical data except the first historical data in the historical data set.

[0119] The target data determining unit is configured to determine, for each temperature change rate, if the temperature change rate satisfies a preset temperature change condition, the historical data corresponding to the temperature change rate as the target data.

[0120] In an embodiment of the present application, the first temperature range determination module may include:

[0121] The relevant parameter determination unit is used to determine the size and step size of the sliding window.

[0122] The data subset generating unit is configured to perform sliding sampling on the target data set according to the size and step size of the sliding window to obtain multiple target data subsets, wherein the number of target data contained in the target data subsets is equal to the size of the sliding window.

[0123] In an embodiment of the present application, the first temperature range determination module may further include:

[0124] The first temperature range determination unit is used to determine, for each target data subset, the quartiles and interquartile range corresponding to the target data subset based on the target data contained in the target data subset, and determine the initial safe temperature range corresponding to the target data subset based on the quartiles and interquartile range corresponding to the target data subset.

[0125] In this embodiment of the present application, the second temperature range determination module may include:

[0126] The second temperature range determination unit is used to determine the intersection of each initial safety temperature range as the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle.

[0127] Since the compartment safety temperature range determination device provided in the embodiment of the present application is a virtual device corresponding to the compartment safety temperature range determination method of the above-mentioned embodiment, it can also solve the problem in the prior art of providing temperature warnings inside the compartments of cold chain transport vehicles based on manually preset temperature thresholds, which is prone to frequent false alarms and reduces the efficiency and accuracy of cargo temperature monitoring.

[0128] Figure 4 The following schematically shows a structural block diagram of the cargo transportation quality risk warning device according to an embodiment of the present application. Figure 4 As shown, in one embodiment of the present application, a cargo transportation quality risk early warning device is provided, and the cargo transportation quality risk early warning device may include the following functional modules.

[0129] The cargo determination module is used to determine the cargo to be transported.

[0130] The target range determination module is used to determine the target safety temperature range corresponding to the cold chain transport vehicle transporting the goods to be transported using the carriage safety temperature range determination method described in the above embodiment.

[0131] The temperature value acquisition module is used to obtain the internal temperature value of the cold chain transport vehicle during the transportation of the goods to be transported.

[0132] The quality risk warning module is used to determine whether the goods to be transported have quality risks based on the target safety temperature range and the temperature value inside the carriage, and if so, perform corresponding warning operations.

[0133] Since the cargo transportation quality risk warning device provided in the embodiment of the present application is a virtual device corresponding to the cargo transportation quality risk warning method of the above embodiment, it can also solve the problem in the prior art of performing temperature warnings on the interior of cold chain transportation vehicles based on manually preset temperature thresholds, which is prone to frequent false alarms and reduces the efficiency and accuracy of cargo temperature monitoring.

[0134] An embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for determining the safe temperature range of a vehicle compartment or the method for warning of cargo transportation quality risks described in the above embodiments is implemented.

[0135] The electronic device provided in the embodiment of the present application, since it includes a processor capable of running the method for determining the safe temperature range of the compartment of the aforementioned embodiment, can also solve the problem in the prior art of providing temperature warnings inside the compartments of cold chain transport vehicles based on manually preset temperature thresholds, which is prone to frequent false alarms and reduces the efficiency and accuracy of cargo temperature monitoring.

[0136] An embodiment of the present application provides a machine-readable storage medium having instructions stored thereon. When the instructions are executed by a processor, the processor is configured to execute the method for determining the safe temperature range of a vehicle compartment or the method for early warning of cargo transportation quality risks described in the above embodiments.

[0137] The machine-readable storage medium provided in the embodiment of the present application stores instructions for enabling the machine to execute the method for determining the safe temperature range of the compartment of the above embodiment. Therefore, it can also solve the problem in the prior art of providing temperature warnings inside the compartments of cold chain transport vehicles based on manually preset temperature thresholds, which is prone to frequent false alarms and reduces the efficiency and accuracy of cargo temperature monitoring.

[0138] Figure 5 The internal structure diagram of the computer device of the embodiment of the present application is schematically shown. Figure 5As shown, in one embodiment of the present application, a computer device is provided, which may be a terminal. The computer device includes a processor A01, a network interface A02, a display screen A04, an input device A05 and a memory (not shown in the figure) connected via a system bus. The processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes an internal memory A03 and a non-volatile storage medium A06. The non-volatile storage medium A06 stores an operating system B01 and a computer program B02. The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 in the non-volatile storage medium A06. The network interface A02 of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor A01, a method for determining a safe temperature range of a carriage or a method for early warning of cargo transportation quality risks is implemented. The display screen A04 of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device A05 of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse, etc.

[0139] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0140] In one embodiment, the vehicle compartment safety temperature range determination device and the cargo transportation quality risk warning device provided by the present application can be implemented in the form of a computer program. The computer program can be used in the following manner: Figure 5 The computer device is shown. The memory of the computer device may store various program modules that constitute the vehicle compartment safe temperature range determination device or the cargo transportation quality risk early warning device. The computer program composed of each program module causes the processor to execute the steps of the vehicle compartment safe temperature range determination method or the cargo transportation quality risk early warning method of each embodiment of the present application described in this specification.

[0141] For example, Figure 5 The computer device shown can be Figure 3 The data set acquisition module in the vehicle compartment safety temperature range determination device shown executes step A100, the target data set generation module executes step A200, the first temperature range determination module executes step A300, and the second temperature range determination module executes step A400.

[0142] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0143] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0144] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0145] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0146] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0147] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0148] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology for information storage. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0149] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0150] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A method for determining a safe temperature range of a vehicle compartment, characterized in that: The method comprises: Obtain a historical data set of target goods transported by a cold chain transport vehicle under preset transport conditions; wherein the historical data set includes multiple historical data, each historical data includes a historical temperature value and a collection time corresponding to the historical temperature value; wherein the historical temperature value is the temperature value inside the compartment of the cold chain transport vehicle when the target goods are transported; Generate a target data set according to the historical data set; wherein the target data set includes a plurality of target data; generating a plurality of target data subsets according to the target data set, and determining an initial safety temperature range corresponding to each target data subset; Based on each initial safety temperature range, determine the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle.

2. The method according to claim 1, characterized in that Generating a target data set based on the historical data set includes: Determine a temperature change rate corresponding to each historical data except the first historical data in the historical data set; For each temperature change rate, if the temperature change rate meets a preset temperature change condition, the historical data corresponding to the temperature change rate is determined as the target data.

3. The method according to claim 1, characterized in that Based on the target data set, multiple target data subsets are generated, including: Determine the size and step size of the sliding window; According to the size and step size of the sliding window, the target data set is slidingly valued to obtain multiple target data subsets; wherein the number of target data included in the target data subset is the size of the sliding window.

4. The method according to claim 1, wherein Determine the initial safe temperature range for each target data subset, including: For each target data subset, the quartiles and interquartile range corresponding to the target data subset are determined based on the target data contained in the target data subset, and the initial safe temperature range corresponding to the target data subset is determined based on the quartiles and interquartile range corresponding to the target data subset.

5. The method according to any one of claims 1 to 4, characterized in that Based on each initial safety temperature range, determine the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle, including: The intersection of each initial safety temperature range is determined as the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle.

6. A cargo transportation quality risk early warning method, characterized in that: The method comprises: Identify the goods to be transported; The method for determining a compartment safety temperature range according to any one of claims 1 to 5 is used to determine a target safety temperature range corresponding to the goods to be transported by the cold chain transport vehicle; During the transportation of the goods to be transported, obtaining the internal temperature value of the cold chain transport vehicle; Based on the target safety temperature range and the internal temperature value of the carriage, it is determined whether the goods to be transported have a quality risk. If so, a corresponding early warning operation is performed.

7. A device for determining a safe temperature range of a vehicle compartment, characterized in that: The device comprises: A data set acquisition module is used to acquire a historical data set of target goods transported by a cold chain transport vehicle under preset transport conditions; wherein the historical data set includes multiple historical data, each of which includes a historical temperature value and the collection time corresponding to the historical temperature value; wherein the historical temperature value is the temperature value inside the compartment of the cold chain transport vehicle when the target goods are transported; A target data set generation module, configured to generate a target data set based on the historical data set; wherein the target data set includes a plurality of target data; A first temperature range determination module is configured to generate a plurality of target data subsets based on the target data set, and determine an initial safe temperature range corresponding to each target data subset; The second temperature range determination module is used to determine the target safety temperature range corresponding to the target goods transported by the cold chain transport vehicle based on each initial safety temperature range.

8. A cargo transportation quality risk early warning device, characterized in that: The device comprises: A cargo determination module is used to determine the cargo to be transported; A target range determination module, configured to determine a target safety temperature range corresponding to the cargo to be transported by the cold chain transport vehicle using the vehicle compartment safety temperature range determination method according to any one of claims 1 to 5; A temperature value acquisition module is used to obtain the internal temperature value of the cold chain transport vehicle during the transportation of the goods to be transported; The quality risk warning module is used to determine whether the goods to be transported have quality risks based on the target safety temperature range and the temperature value inside the carriage, and if so, perform corresponding warning operations.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for determining the safe temperature range of the vehicle compartment according to any one of claims 1 to 5 or the method for early warning of cargo transportation quality risks according to claim 6 is implemented.

10. A machine-readable storage medium having instructions stored thereon, characterized in that: When the instruction is executed by the processor, the processor is configured to execute the method for determining the safe temperature range of the vehicle compartment according to any one of claims 1 to 5 or the method for early warning of cargo transportation quality risks according to claim 6.

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