A preheating system testing device and method

Abstract

The embodiments of the present specification provide a preheating system testing device and method, the device includes a test box, an oil tank, a cooling tank, a monitoring component, and a control component; the oil tank is configured to store fuel; the cooling tank is configured to store coolant; the liquid inlet and the liquid outlet of the oil tank and the cooling tank are provided with automatic valves; the monitoring component includes at least one temperature sensor deployed in the oil tank, the cooling tank, and the test box, and the monitoring component is configured to monitor at least one of the fuel oil temperature, the coolant temperature, and the ambient temperature inside the box; the control component is configured to: control the switch of the automatic valve to control at least one of the oil amount in the oil tank and the coolant amount in the cooling tank; control the preheating system to perform preheating tests on at least one amount of fuel and / or at least one amount of coolant; based on the monitoring component, obtain preheating process data corresponding to the preheating test; based on the preheating process data, evaluate the preheating performance of the preheating system and determine the end time point of preheating.

Description

Technical Field

[0001] The present invention relates to the field of preheating system testing, and in particular to a preheating system testing device and method. Background Art

[0002] The fuel preheating system refers to a system that heats the fuel, lubricating oil and cooling water before the locomotive fuel engine is started in winter. The fuel preheating system can use a preheating boiler or an electric heating device. When the locomotive is stopped in severe cold seasons, the fuel preheating system can maintain the oil and water temperature so that the locomotive can be started and put into use at any time, reducing the starting time of the locomotive and reducing the probability of failure to start due to cold weather.

[0003] In order to ensure the safe use of locomotives, the fuel preheating system needs to be strictly tested before it is put into use. In the prior art, the factory performance test of the preheating system is often frequently tested one by one by repeatedly heating and cooling the test device. This may lead to low test efficiency, long test cycle, and comprehensive system testing often requires a lot of manpower, material resources and time costs.

[0004] Therefore, the embodiments of this specification propose a preheating system testing device, method and system for convenient and efficient testing of a vehicle preheating system before leaving the factory. Summary of the invention

[0005] One or more embodiments of the present specification provide a preheating system test device, characterized in that it includes a test box, an oil tank, a cooling tank, a monitoring component, and a control component; the oil tank is configured to store fuel; the cooling tank is configured to store coolant; the inlet and / or outlet of the oil tank, the inlet and / or outlet of the cooling tank are provided with automatic valves; the monitoring component includes a temperature sensor deployed in at least one of the oil tank, the cooling tank, and the test box, and the monitoring component is configured to monitor at least one of the fuel temperature, the coolant temperature, and the ambient temperature in the box; the control component is configured to: control the switch of the automatic valve to control at least one of the oil amount in the oil tank and the coolant amount in the cooling tank; control the preheating system to perform preheating tests on at least one amount of fuel and / or at least one amount of coolant; based on the monitoring component, obtain preheating process data corresponding to the preheating test; based on the preheating process data, evaluate the preheating performance of the preheating system, and determine the end time point of preheating.

[0006] One of the embodiments of the present specification provides a preheating system test method, characterized in that it is executed based on a control component of a preheating system test device, and the preheating system test device also includes a test box, an oil tank, a cooling tank, and a monitoring component; the method includes: based on the switching of an automatic valve, to control at least one of the oil amount in the oil tank and the coolant amount in the cooling tank; controlling the preheating system to perform a preheating test on at least one oil amount of fuel and / or at least one coolant amount of coolant; based on the monitoring component, obtaining preheating process data corresponding to the preheating test; based on the preheating process data, evaluating the preheating performance of the preheating system, and determining the end time point of preheating.

[0007] One or more embodiments of the present specification provide a preheating system testing system, characterized in that the system includes at least one processor and at least one storage device, the at least one storage device is used to store computer instructions; the at least one processor is used to execute at least part of the computer instructions to implement the above-mentioned preheating system testing method.

[0008] One or more embodiments of the present specification provide a computer-readable storage medium, wherein the storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes a preheating system testing method. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 is a schematic diagram of a preheating system test device system according to some embodiments of this specification;

[0010] Figure 2 is an exemplary flow chart of a preheating system testing method according to some embodiments of this specification;

[0011] Figure 3 is an exemplary schematic diagram of determining preheating performance according to some embodiments of this specification;

[0012] Figure 4 is an exemplary schematic diagram of determining preheating performance according to some embodiments of this specification;

[0013] Figure 5 It is an exemplary schematic diagram of determining subsequent test parameters according to some embodiments of this specification. DETAILED DESCRIPTION

[0014] The following is a brief introduction to the drawings required for describing the embodiments, which do not represent all implementation methods.

[0015] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0016] As shown in this specification and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0017] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0018] Figure 1 is an exemplary schematic diagram of a preheating system testing device according to some embodiments of the present specification.

[0019] like Figure 1 As shown, the preheating system testing device 100 includes an oil tank 110 , a testing box 120 , a cooling tank 130 , a monitoring component 140 , and a control component 150 .

[0020] In some embodiments, the preheating system test device 100 can monitor the temperature of each component in the preheating system test device, such as the oil tank 110, the cooling tank 130, etc., through a monitoring component, and can also control the amount of oil in the oil tank and the amount of coolant in the cooling tank through a control component, and perform a preheating test on the oil tank and the cooling tank to obtain preheating data. The preheating system test device 100 can also be applied to various fields of preheating system testing. For example, the preheating system test device 100 can be used for production testing of preheating system electronic control boxes, various types of automobile preheating system testing, etc.

[0021] The fuel tank 110 may be used to store fuel.

[0022] In some embodiments, the liquid inlet and / or the liquid outlet of the oil tank 110 is provided with an automatic valve 160 .

[0023] The automatic valve refers to a valve that can be opened and closed by a command from the control component 150 .

[0024] The test box 120 refers to a box that can be used to perform the test process. In some embodiments, the test box provides a test environment in which the temperature can be regulated for the preheating system. For example, the test box can provide a simulated environment that simulates the actual use temperature of the oil tank 110 and the cooling tank 130.

[0025] In some embodiments, the oil tank 110 , the cooling tank 130 , the monitoring component 140 , and the control component 150 may all be placed in the test box 120 .

[0026] The cooling tank 130 can be used to store cooling liquid, which is also called antifreeze or coolant.

[0027] In some embodiments, the liquid inlet and / or the liquid outlet of the cooling tank 130 is provided with an automatic valve 160 .

[0028] The monitoring component 140 can be used to monitor at least one of the fuel temperature, the coolant temperature, and the ambient temperature inside the test box. In some embodiments, the ambient temperature inside the box can be set according to the ambient temperature of the preheating system in a real use environment.

[0029] In some embodiments, monitoring component 140 may include various temperature sensors.

[0030] In some embodiments, the monitoring component 140 can also monitor the temperature of a heating component. The heating component refers to a component used for heating in the preheating system.

[0031] In some embodiments, the heating component is mechanically connected to the oil tank 110 and the cooling tank 130 to provide heat thereto. The heating component can be heated by a variety of heating methods, such as electrical heating or fuel heating.

[0032] In some embodiments, the heater conducts the heat generated by the heating component to the coolant in the cooling tank or the fuel in the fuel tank to keep the temperature of the coolant and the fuel within a required range. The heater refers to a tool for heat conduction, such as a heating wire.

[0033] The control component 150 may be used to control and manage information data of the preheating system test device and the interaction between various components.

[0034] In some embodiments, the control component 150 can monitor the oil quantity, fuel temperature, etc. inside the fuel tank 110 based on the monitoring component 140. The oil quantity refers to the amount of fuel stored in the fuel tank 110, which can be expressed by the volume of the fuel.

[0035] In some embodiments, the control component 150 may monitor the amount of coolant in the cooling tank 130 based on the monitoring component 140. The amount of coolant refers to the amount of coolant stored in the cooling tank 130, which may be represented by the volume of the coolant.

[0036] In some embodiments, the control component 150 can be connected to the automatic valves provided at the liquid inlet and / or liquid outlet of the aforementioned cooling tank 130 and the fuel tank 110 to control the opening and closing of the cooling tank 130 and the fuel tank 110, and further control the amount of coolant and fuel therein.

[0037] In some embodiments, the control component 150 can control the amount of liquid stored in the oil tank and the cooling tank by controlling the duration of the automatic valve opening. Exemplarily, the longer the automatic valve is opened, the more oil and coolant are put into the corresponding oil tank and cooling tank.

[0038] In some embodiments, the control component 150 can also be used to control the preheating system to perform a preheating test on at least one amount of fuel and / or at least one amount of coolant.

[0039] Preheating test refers to testing the function of the preheating system by simulating the preheating process. For example, a certain amount of fuel and / or coolant is used to test the preheating performance of the preheating system to be tested.

[0040] In some embodiments, each preheating test requires that the fuel and coolant used in the previous preheating test be completely drained and refilled with the amount of fuel and coolant required for the preheating test. For example, after each preheating test, the time for opening the automatic valve can be appropriately extended to empty the fuel tank and the coolant tank. For details about the preheating test, please refer to Figure 2 Related instructions.

[0041] In some embodiments, the control component 150 may also obtain preheating process data corresponding to the preheating test based on the monitoring component.

[0042] In some embodiments, the control component 150 may also evaluate the preheating performance of the preheating system and determine a preheating end time point based on the preheating process data.

[0043] For more information about the functions of the control components, please refer to other parts of this embodiment, such as Figures 2 to 5 content, etc.

[0044] In some embodiments, the preheating system test device 100 may further include an in-box temperature control component (not shown in the figure). The in-box temperature control component refers to a component that can adjust the temperature, including a heating component and a cooling component. For example, the in-box temperature control component may be a heating wire for heating, a refrigerator for cooling, etc.

[0045] The preheating system testing device described in some embodiments of the present specification can perform preheating tests on at least one amount of fuel and / or at least one amount of coolant based on controlling the preheating system, and then evaluate the preheating performance of the preheating system through the preheating test, thereby realizing convenient and efficient testing of the vehicle preheating system before leaving the factory.

[0046] It should be noted that the above description of the preheating system test device and its modules is only for convenience of description and cannot limit the present specification to the scope of the embodiments. It is understandable that, after understanding the principle of the system, those skilled in the art may arbitrarily combine the modules or form a subsystem to connect with other modules without deviating from the principle.

[0047] Figure 2 is an exemplary flow chart of a preheating system testing method according to some embodiments of this specification. Figure 2 As shown, the process 200 includes the following steps. In some embodiments, the process 200 can be executed by a control component.

[0048] Step 210, based on the opening and closing of the automatic valve, to control at least one of the amount of oil in the oil tank and the amount of coolant in the cooling tank.

[0049] An automatic valve refers to a valve that can be opened and closed automatically. In some embodiments, the automatic valve may include an automatic valve for a liquid inlet and an automatic valve for a liquid outlet. For more information about automatic valves, see Figure 1 Related description.

[0050] In some embodiments, the control component can control the amount of oil and coolant by controlling the opening time of the automatic valve at the liquid inlet. The longer the opening time, the more oil and coolant are put in. After the preheating is completed, the opening time of the automatic valve at the liquid outlet is also extended accordingly to allow the oil tank and cooling tank to be emptied. For a description of the oil tank and cooling tank, see Figure 1 Related description.

[0051] Step 220, controlling the preheating system to perform a preheating test on at least one amount of fuel and / or at least one amount of coolant.

[0052] Preheating test is to test the function of the preheating system by simulating the preheating process. For the description of the preheating system, please refer to Figure 1 In some embodiments, a preheating test may include preheating a quantity of fuel and / or a quantity of coolant once.

[0053] In some embodiments, the control component can perform a preheating test on at least one amount of fuel and / or at least one amount of coolant by controlling the preheating system. For a detailed description of the test method, see Figure 3 Related description.

[0054] Step 230: acquiring preheating process data corresponding to the preheating test based on the monitoring component.

[0055] For a description of the monitoring components, see Figure 1 Related description.

[0056] The preheating process data refers to data related to the temperature of the fuel and the coolant during the preheating process. For example, the preheating process data may include the temperature data of the fuel and the coolant during the preheating process and the time point corresponding to each temperature data.

[0057] In some embodiments, the control component controls the monitoring component to monitor and obtain preheating process data corresponding to the preheating test. For example, the monitoring component can collect preheating process data according to a preset monitoring frequency, such as once every 10 seconds.

[0058] Step 240 , based on the preheating process data, evaluate the preheating performance of the preheating system and determine the preheating end time point.

[0059] Preheating performance refers to the degree of conformity between the preheating effect of the preheating system on the fuel / coolant and the designed preheating effect, such as the degree of conformity between the heating rate and heating time of the fuel and coolant and the designed heating rate and heating time. The designed preheating effect can be preset by the staff in this field based on experience.

[0060] The preheating end time point refers to the time point when the preheating is stopped during each preheating test.

[0061] In some embodiments, the control component may evaluate the preheating performance of the preheating system in a variety of ways based on the preheating process data.

[0062] In some embodiments, the preheating system test device can calculate the heating rate of the corresponding oil amount and / or the corresponding coolant amount based on the preheating process data, and calculate the time required for the corresponding oil amount and / or the corresponding coolant amount to heat up to the target temperature based on the heating rate. Among them, the target temperature can be preset by the staff in this field based on experience. The degree of conformity between the heating time and the standard heating time of the corresponding oil amount and / or the corresponding coolant amount is determined as the preheating performance under the corresponding oil amount and / or the corresponding coolant amount. For example, the preheating performance can be the ratio or difference between the heating time and the standard heating time.

[0063] The above-mentioned heating time refers to the preheating time from the start of preheating to the time when the test chamber reaches the target temperature.

[0064] In some embodiments, the standard heating time of the corresponding oil volume and / or the corresponding coolant volume can be determined by querying a preset table, which is preset by staff in this field based on experience and contains the corresponding relationship between different oil volumes and / or coolant volumes and the standard heating time.

[0065] In some embodiments, the preheating performance of a preheating system may be evaluated based on multiple preheating tests.

[0066] In some embodiments, when the difference in the heating rate calculated based on a plurality of consecutive adjacent temperature data is lower than a fluctuation threshold, preheating can be stopped, and the time point when preheating is stopped can be determined as the preheating end time point.

[0067] In some embodiments, the heating rate can be calculated based on the preheating process data. For example, two time nodes t1 and t2 are selected, and their corresponding temperature data are T1 and T2, that is, the heating rate = (T2-T1) / (t2-t1). Among them, the fluctuation threshold can be preset by the staff in this field based on experience.

[0068] In some embodiments of the present specification, by controlling the preheating system to perform multiple preheating tests on fuel with different oil amounts and coolant with different coolant amounts, the preheating performance of the preheating system under various conditions can be comprehensively evaluated based on the preheating process data obtained by the monitoring component. The preheating performance can also be evaluated after the heating rate tends to be stable based on the preheating process data, and the preheating can be stopped without waiting for the temperature to reach the target temperature. That is, the preheating performance can be evaluated based on the preheating process data, which can save preheating test time, thereby making the evaluation of the preheating system more efficient, comprehensive and accurate.

[0069] In some embodiments, the control component may determine subsequent test parameters based on at least one performed test case, and perform subsequent tests on the preheating system based on the subsequent test parameters.

[0070] The performed test cases refer to the preheating test records that have been performed on the current preheating system. In some embodiments, the performed test cases include corresponding test parameters, and the test parameters may include the amount of oil and / or coolant during the test, the ambient temperature in the box, the corresponding preheating performance, etc. For example, the multiple ambient temperatures in the box, the amount of oil, the amount of coolant, and the corresponding preheating performance that have been tested for the preheating system currently being tested.

[0071] The test parameters refer to the relevant parameters required for the preheating test. For example, the test parameters may include the amount of oil, the amount of coolant, etc. The subsequent test parameters refer to the test parameters of the subsequent preheating test.

[0072] In some embodiments, the control component can determine the subsequent test parameters in a variety of ways based on the test parameters of the test case that has been performed. For example, the subsequent test parameters can be determined by adding or subtracting a preset value from the amount of oil or coolant in the test case that has been performed. For more methods of determining subsequent test parameters, see Figure 5 and related instructions.

[0073] In some embodiments, the control component may control the preheating system to perform a subsequent preheating test based on subsequent test parameters.

[0074] In some embodiments of the present specification, subsequent testing is performed by determining subsequent testing parameters based on the test cases that have been performed, which is conducive to setting more reasonable test parameters and making subsequent testing more targeted. By reasonably setting subsequent test parameters, the number of tests can be effectively reduced and the efficiency of preheating tests can be improved.

[0075] It should be noted that the above description of the process 200 is only for example and illustration, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process 200 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0076] Figure 3 is an exemplary schematic diagram of determining preheating performance according to some embodiments of the present specification.

[0077] like Figure 3 As shown, in some embodiments, the control component can: send a temperature control instruction 310 to the temperature control component in the box to adjust the ambient temperature 320 in the box; obtain the adjusted ambient temperature 330 in the box; in response to the adjusted ambient temperature 330 in the box complying with the temperature control instruction 310, start the preheating system 340 and obtain preheating process data 350; based on the preheating process data 350 at different ambient temperatures in the box, determine the preheating performance 360 ​​of the preheating system 340 at different ambient temperatures in the box.

[0078] The temperature control instruction 310 is an instruction to adjust the ambient temperature in the box, for example, to increase the temperature to 50° C.

[0079] The ambient temperature in the box is 320°C, which refers to the temperature inside the test box.

[0080] In some embodiments, the temperature control component in the box can adjust the ambient temperature 320 in the box based on the temperature control instruction 310. Figure 1 The corresponding description.

[0081] In some embodiments, the control component may, based on the monitoring component, obtain the actual adjusted ambient temperature 330 in the box after the temperature control component in the box adjusts the ambient temperature in the box.

[0082] In some embodiments, the control component can determine whether to start the preheating system by whether the adjusted in-box ambient temperature 330 meets the temperature control instruction 310, that is, whether it reaches the temperature required by the temperature control instruction 310. For example, when the adjusted in-box ambient temperature 330 meets the temperature control instruction 310, the preheating system 340 is started and the preheating process data 350 is obtained. For a description of the preheating system, see Figure 1 For details about the preheating process data and how to obtain it, see Figure 2 Related instructions.

[0083] In some embodiments, the control component can determine the preheating performance 360 ​​of the preheating system 340 at the ambient temperature in the box required by the current temperature control instruction based on the preheating process data 350. For specific methods of determining the preheating performance, see Figure 1 , Figure 2 and Figure 4 Related description.

[0084] In some embodiments of the present specification, the ambient temperature in the box is adjusted by temperature control instructions. When the ambient temperature in the box meets the temperature control instructions, the preheating system is started and the preheating process data is obtained. Based on the preheating process data obtained at different ambient temperatures in the box, the preheating performance of the preheating system corresponding to the different ambient temperatures in the box is determined. The preheating performance of the preheating system at different ambient temperatures in the box can be evaluated, making the preheating test more comprehensive and the evaluation result more reliable.

[0085] In some embodiments, the control component can obtain the test cases that have been performed, determine the current performance stability of the preheating system, and based on the current performance stability, dynamically adjust the preset temperature control instructions to determine the temperature control instructions for the next test.

[0086] Performance stability refers to the stability of the preheating performance of the preheating system under different ambient temperatures in the box.

[0087] In some embodiments, the current performance stability may be determined by the difference in preheating performance at multiple tested in-box ambient temperatures. For example, the smaller the difference, the better the current performance stability of the preheating system.

[0088] In some embodiments, the control component can dynamically adjust the preset temperature control instructions based on the current performance stability to determine the temperature control instructions for the next test. For example, when the current performance stability is lower than the preset standard stability, the control component can reduce the difference between the ambient temperature in the box for the next test and the ambient temperature in the box for the previous test to test the performance stability under a smaller ambient temperature change. The standard stability can be preset by the technician based on experience.

[0089] In some embodiments, in response to the current performance stability of multiple consecutive preheating tests not meeting the preset standard stability, the test may be stopped and it may be determined that the preheating performance of the preheating system is unqualified.

[0090] In some embodiments of the present specification, the current performance stability is judged by the test examples that have been conducted, and then the temperature control instructions are dynamically adjusted. Unqualified preheating systems can be screened out in advance and the test can be stopped, thereby improving the test efficiency, making the test process more reasonable, and making the judgment on whether the preheating performance is qualified more rigorous and accurate.

[0091] Figure 4 is an exemplary schematic diagram of determining preheating performance according to some embodiments of the present specification.

[0092] like Figure 4 As shown, in some embodiments, the control component may determine a temperature variation curve 410 based on the preheating process data 350 , and determine the preheating performance 360 ​​based on the temperature variation curve 410 .

[0093] The temperature variation curve 410 refers to a curve reflecting the preheating process data, for example, a curve drawn on a coordinate axis with temperature as the ordinate and time as the abscissa. In some embodiments, the temperature variation curve may include a fuel temperature curve 411 and / or a coolant temperature curve 412.

[0094] The fuel temperature curve 411 is a curve reflecting the change of fuel temperature during the preheating process.

[0095] The coolant temperature curve 412 is a curve reflecting the change of the coolant temperature during the preheating process.

[0096] In some embodiments, the control component can determine the preheating performance 360 ​​based on the temperature change curve 410 by comparing it with the standard temperature change curve. For example, the Euclidean distance algorithm can be used to calculate the difference between the temperature change curve 410 and the temperature corresponding to each time point on the standard temperature change curve, and the preheating performance 360 ​​can be determined by the average value or variance of the difference. For example, the smaller the average value of the difference, the better the preheating performance. The standard temperature change curve can be preset by a technician based on historical data or prior knowledge.

[0097] In some embodiments, the control component may determine a heating characteristic 420 of at least one heating stage based on the temperature variation curve 410 , and determine the preheating performance 360 ​​of the preheating system based on the heating characteristic 420 .

[0098] The heating characteristic 420 refers to the characteristic of the temperature change during the heating process. In some embodiments, the heating characteristic may include the heating rate, the heating time, etc.

[0099] The heating stage refers to the stage from starting the preheating system to the temperature reaching the preset target temperature. In some embodiments, the heating stage may include a heating start stage and a heating steady stage.

[0100] The heating start-up phase refers to the phase when the temperature rises slowly when preheating begins. In this phase, the temperature of the object to be preheated (such as fuel, coolant, etc.) rises slowly because it takes a certain amount of time for the preheating system to rise in temperature, and the internal air and shell of the preheating system or the corresponding box will also absorb some heat, resulting in heat loss.

[0101] The temperature rise stage refers to the stage in which the temperature rises significantly during the preheating process. In this stage, the temperature of the preheating system itself and the air temperature have reached a certain level, and the heat transferred to the object to be preheated is no longer absorbed by the shell, air, etc. The object to be preheated can get all the heat, and the temperature rises quickly and tends to be stable.

[0102] In some embodiments, after the temperature rise stage, there is also a heating completion stage. In this stage, when the temperature of the object to be preheated reaches the target temperature, the heating power of the preheating system is reduced to balance the heating speed with the speed of automatic heat dissipation into the environment. At this time, the temperature of the object to be preheated will fluctuate steadily in a small range.

[0103] In some embodiments, the control component can divide the temperature rise start-up stage and the temperature rise steady stage by calculating the derivative of each numerical point on the temperature change curve. For example, a derivative threshold can be preset. When preheating starts, the derivative of the corresponding numerical point of the temperature change curve is less than the derivative threshold, and the numerical point at this stage belongs to the temperature rise start-up stage. When the derivative of the numerical point is greater than the derivative threshold, the numerical point at the corresponding stage belongs to the temperature rise steady stage. When the temperature tends to be stable again, that is, the stage after reaching the preset target temperature is the heating completion stage, which can be ignored here.

[0104] In some embodiments, the temperature rise characteristics of the temperature rise stage may include the temperature rise characteristics of the temperature rise start stage and the temperature rise characteristics of the temperature rise steady stage. Based on the fuel temperature curve, the temperature rise characteristics of the temperature rise stage of the fuel temperature curve may be determined. Accordingly, the temperature rise characteristics of the temperature rise stage of the corresponding coolant temperature curve may also be determined.

[0105] In some embodiments, the control component can calculate the heating rate and heating time of the heating start phase and the heating steady phase of the corresponding temperature curve (such as the fuel temperature curve or the coolant temperature curve) based on the temperature change curve 410, and determine the heating characteristics 420 of at least one heating phase of the corresponding temperature curve.

[0106] In some embodiments, the control component may determine the preheating performance 360 ​​in a variety of ways based on the heating characteristic 420. For example, the control component may determine the preheating performance of the preheating system based on the degree of compliance of the heating characteristic with the standard heating characteristic.

[0107] As an example only, the control component can determine the preheating performance 360 ​​by comparing the heating rate and heating time in the heating start phase and / or the heating steady phase with the standard heating rate and standard heating time in the heating start phase and / or the heating steady phase under the corresponding standard test environment. For example, the smaller the difference, the better the preheating performance. Among them, the standard heating characteristics (such as the standard heating rate and the standard heating time) under different test environments and heating phases can be preset by the technician based on historical data or prior knowledge.

[0108] In some embodiments, the standard heating characteristics can also be determined by the heating model processing the ambient temperature in the box, the amount of oil and / or coolant, and the type of fuel and / or coolant. The standard heating characteristics can include the standard heating characteristics of the heating start stage and the standard heating characteristics of the heating steady stage. The standard heating characteristics of each stage can include the standard heating rate, the standard heating time, etc.

[0109] The heating model is a model for determining the standard heating characteristics. In some embodiments, the heating model may be a machine learning model, for example, a neural network model (NN). In some embodiments, the input of the heating model may be the ambient temperature in the box, the amount of oil and / or the amount of coolant, the type of fuel and / or coolant, and the output may be the standard heating characteristics. For example, the input of the heating model may be the ambient temperature in the box, the amount of oil, and the type of fuel, and the output may be the standard heating characteristics of the fuel of the fuel type at the corresponding ambient temperature in the box and the amount of oil.

[0110] In some embodiments, the heating model can be trained based on a first training sample with a first label, for example, it can be trained by a gradient descent method, etc. In some embodiments, the training data can be determined by a traditional test method, that is, a test record obtained by testing according to a complete process from low temperature preheating to the target temperature, and the box ambient temperature, oil volume and / or coolant volume, fuel and / or coolant model corresponding to the test record with excellent test results are selected as the first training sample, and the first label is made according to the corresponding heating record. For example, if the input is the corresponding information of the fuel, the first label can be the standard heating rate and standard heating time of the fuel in the heating start stage, and the standard heating rate and standard heating time in the heating stable stage determined based on the heating record.

[0111] Among them, whether the test record is an excellent test result can be judged according to the preheating performance designed by the preheating system manufacturer. For example, if the manufacturer designs that the preheating is completed in 15 seconds, then the preheating completion time during the test is less than or equal to 15 seconds, which is an excellent test result. In some embodiments, whether the test result is excellent can also be judged according to industry-recognized standards.

[0112] In some embodiments of the present specification, the standard heating characteristics under different test conditions are determined through a heating model, and the preheating performance of the preheating system is determined based on the degree of conformity between the heating characteristics and the standard heating characteristics. This can more efficiently determine the standard heating characteristics under different test conditions, thereby making the determination of the preheating performance more based on evidence and making the evaluation of the preheating performance more in line with actual conditions.

[0113] In some embodiments of the present specification, the preheating performance is judged by the heating characteristics in the starting stage and the steady stage of heating, without the need for a complete heating process, thus reducing the test time and improving the test efficiency. In addition, the heating characteristics of the fuel and / or coolant in different heating stages during the preheating process can be combined to make a more reasonable and effective judgment on the preheating performance of the preheating system.

[0114] In some embodiments of the present specification, the preheating performance of the preheating system is determined by determining a temperature change curve based on preheating process data, which can make the temperature change during the preheating process more intuitive and make the process of determining the preheating performance more efficient.

[0115] Figure 5 It is an exemplary schematic diagram of determining subsequent test parameters according to some embodiments of this specification.

[0116] like Figure 5As shown, in some embodiments, the control component determines subsequent test parameters 550 based on at least one performed test case 510, which can be determined in two ways: 1) through an abnormal test case 520; 2) through an abnormal prediction model 530, determining an estimated abnormal point 540, and determining subsequent test parameters 550 based on the estimated abnormal point 540.

[0117] In some embodiments, the control component may identify an abnormal test case 520 of at least one performed test case 510 ; and determine subsequent test parameters 550 based on the oil amount and / or coolant amount corresponding to the abnormal test case 520 .

[0118] Abnormal test case 520 refers to a test case that meets the preset characteristic requirement. In some embodiments, the preset characteristic may be that the temperature rise characteristic is lower than the standard temperature rise characteristic.

[0119] In some embodiments, for an abnormal test case, the control component may set subsequent test parameters of subsequent test cases according to a smaller oil volume / coolant volume span, such as the test oil volume and / or coolant volume.

[0120] For example, under correct circumstances, the oil volume span of different test cases is 10% of the total capacity of the fuel tank. For example, the test starts with an oil volume of 100% of the total capacity, and the oil volume is reduced by 10% of the total capacity after each preheating test. The oil volume is used as the oil volume parameter of the next test case for the next test. When an abnormal test case is identified, such as when the oil volume is 70% of the total capacity, the temperature rise characteristic is lower than the standard temperature rise characteristic, and it is considered that an abnormal test case has occurred, the oil volume span of subsequent test cases can be set to 5% of the total capacity, that is, the oil volume in the subsequent test parameters of subsequent test cases is 75% of the total capacity, 65% of the total capacity, and so on.

[0121] In some embodiments of the present specification, by identifying abnormal test cases and determining subsequent test parameters based on the abnormal test cases, reasonable adjustments can be made to the various test parameters in subsequent tests when an abnormality occurs, eliminating the impact of accidental factors on the test, thereby ensuring the accuracy of the test data and further enabling a more reasonable judgment on the preheating performance.

[0122] In some embodiments, the control component may also determine an estimated abnormal point 540 through an abnormality prediction model 530 based on at least one performed test case 510 , and determine subsequent test parameters 550 based on the estimated abnormal point 540 .

[0123] The abnormal prediction model 530 is used to determine the estimated abnormal point. In some embodiments, the abnormal prediction model 530 can be a machine learning model, for example, a recurrent neural network model (RNN). In some embodiments, the input of the abnormal prediction model 530 can be one or more conducted test cases, and the output can be the estimated abnormal point.

[0124] The estimated abnormal point 540 refers to the test parameters included in the test case that is estimated to be identified as an abnormal test case, such as the oil volume and / or coolant volume corresponding to the abnormal test case.

[0125] In some embodiments, the abnormality prediction model 530 can be trained based on a large number of second training samples with second labels, for example, it can be trained based on a gradient descent method, etc.

[0126] In some embodiments, the training data can be determined based on the test records of multiple preheating systems in the historical data: for any test record of the preheating system, the oil volume and / or coolant volume corresponding to some abnormal test cases are used as the second label, and other test cases are used as the second training samples. Different abnormal test cases are used as the second label, and multiple training data can be obtained.

[0127] For example, there are 20 test cases in the test record of a preheating system in the historical record, and the abnormal test cases are the 6th, 7th, and 9th. The oil volume and / or coolant volume corresponding to the 6th test case can be used as the second label, and the remaining part or all of the test cases (including normal and abnormal) can be used as the second training samples; for another example, the oil volume and / or coolant volume corresponding to the 7th and / or 9th test cases can be used as the second label, and the remaining part or all of the test cases can be used as the second training samples. Based on the above method, a group of test cases in the test record can generate different sets of training data.

[0128] In some embodiments, if the second label of the same second training sample is the oil volume and / or coolant volume corresponding to two or more abnormal test cases, the second label can be in the form of a sequence, with one element corresponding to the oil volume and / or coolant volume corresponding to an abnormal test case. The abnormal prediction model thus trained can also output a sequence of estimated abnormal points.

[0129] In some embodiments, the control component can determine subsequent test parameters 550 based on the estimated abnormal point 540, for example, using the amount of oil and / or coolant contained in the estimated abnormal point 540 as the amount of oil and / or coolant in the subsequent test parameters.

[0130] In some embodiments of the present specification, estimated abnormal points are predicted by an abnormal prediction model to determine subsequent test parameters, which can quickly and accurately determine the estimated abnormal points, and perform tests based on the test parameters of the estimated abnormal points, thereby improving the test efficiency of subsequent tests.

[0131] In some embodiments, the control component can also: update subsequent test parameters based on the estimated abnormal point; update at least one performed test case based on the updated subsequent test parameters and their corresponding test results; determine new estimated abnormal points through the abnormal prediction model based on the updated performed test case, and update subsequent test parameters; repeat this process until the updated performed test case meets the preset test conditions.

[0132] In some embodiments, the control component may perform a warm-up test based on the updated subsequent test parameters, and update at least one performed test case based on the corresponding test results and test parameters as an updated performed test case.

[0133] In some embodiments, the control component can determine the corresponding new estimated abnormal point based on the updated test case through the abnormal prediction model, and update the subsequent test parameters again. For example, the corresponding data of the updated test case is used as the input of the abnormal prediction model again to re-predict the new estimated abnormal point based on the updated test case, and re-update the subsequent test parameters, and repeat this process until the updated test case meets the preset test conditions.

[0134] The preset test condition is used to determine whether the preheating test is terminated. In some embodiments, the preset test condition can be that the test case (such as the ambient temperature in the box, the amount of oil / coolant, etc.) has covered a sufficient data range, and the range can be manually preset. For example, at least one of the tested ambient temperature in the box, the amount of oil, and the amount of coolant exceeds the preset quantity threshold, that is, when the preset test condition is met, the test is stopped.

[0135] In some embodiments of the present specification, by continuously updating subsequent test parameters and updating the test cases that have been performed until the preset test conditions are met, the preheating performance of the preheating system under various test parameters can be accurately and comprehensively tested to ensure the reliability of the test data. Moreover, since each subsequent test parameter is determined based on the estimated abnormal point, the abnormality of the preheating performance can be tested more efficiently.

[0136] In some embodiments, the subsequent test parameters may also include monitoring parameters of the monitoring components. In some embodiments, the monitoring parameters of the monitoring components may be determined based on the following steps: based on the ambient temperature in the box, the amount of oil and / or coolant, and the type of fuel and / or coolant, the temperature rise stable phase node of the subsequent test is determined through the temperature rise model; based on the temperature rise stable phase node, the monitoring parameters are determined.

[0137] Monitoring parameters refer to the time series formed by the time points at which the monitoring component collects data on the heating process. The heating process data refers to the temperature data of the heating stage in the preheating process data.

[0138] The temperature rise stabilization phase node refers to the dividing point between the temperature rise start phase and the temperature rise stabilization phase, that is, the time point when the temperature rise start phase ends and the temperature rise stabilization phase begins. For relevant instructions on the temperature rise stabilization phase and the temperature rise start phase, please refer to Figure 4 The corresponding description.

[0139] In some embodiments, the control component can use the heating time used in each heating stage in the standard heating characteristics output by the heating model to determine the time point corresponding to the end of the heating start stage; and use the time point corresponding to the end of the heating start stage as the heating stable stage node. For details about the heating model, standard heating characteristics, etc., please refer to Figure 4 Related instructions.

[0140] In some embodiments, the control component can use the temperature rise steady stage node predicted based on the temperature rise model output, and evenly set multiple time points before and after the temperature rise steady stage node according to preset intervals and preset collection quantities, and use these time points as the time series for the monitoring component to collect temperature rise process data, that is, monitoring parameters.

[0141] For example, the node of the stable temperature rise stage is the 10th second, the preset interval is 0.5 seconds, and the preset collection quantity is 5. Then the time series corresponding to the monitoring parameters can be {9s, 9.5s, 10s, 10.5s, 11s}. The monitoring component collects the corresponding temperature rise process data according to the above time points. At the same time, the temperature rise process data is collected at other times according to the original collection frequency.

[0142] In some embodiments of the present specification, since the standard heating characteristics predicted by the heating model are heating characteristics under ideal conditions based on the model, the actual heating steady stage node may not be known. By obtaining the heating steady stage node based on the standard heating characteristics obtained by the heating model and setting more intensive monitoring parameters around it, the subsequent test parameters can be further improved to avoid missing the turning point from the heating start-up stage to the heating steady stage, so that the preheating performance of the preheating system can be tested more carefully and accurately in the subsequent test.

[0143] Certain features, structures or characteristics of one or more embodiments of this specification may be appropriately combined.

[0144] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0145] It should be noted that if there is any inconsistency or conflict between the descriptions, definitions, and / or usage of terms in the materials cited in this specification and the contents described in this specification, the descriptions, definitions, and / or usage of terms in this specification shall prevail.

Claims

1. A preheating system testing device, characterized in that: Including test box, oil tank, cooling tank, monitoring components, control components; The oil tank is configured to store fuel; the cooling tank is configured to store coolant; the liquid inlet and / or liquid outlet of the oil tank, the liquid inlet and / or liquid outlet of the cooling tank are provided with automatic valves; The monitoring component includes a temperature sensor disposed in at least one of the fuel tank, the cooling tank, and the test box, and the monitoring component is configured to monitor at least one of the fuel temperature, the coolant temperature, and the ambient temperature in the box; The control component is configured to: Controlling the switch of the automatic valve to control at least one of the amount of oil in the oil tank and the amount of coolant in the cooling tank; Controlling the preheating system to perform a preheating test on at least one amount of fuel and / or at least one amount of coolant; Based on the monitoring component, obtaining preheating process data corresponding to the preheating test; Based on the preheating process data, evaluating the preheating performance of the preheating system and determining the preheating end time point; The control component is also configured to: Determine subsequent test parameters based on at least one performed test case; the subsequent test parameters include a test oil volume and / or a coolant test volume, wherein, in order to determine the subsequent test parameters, the control component is further configured to: Based on the at least one performed test case, an estimated abnormal point is determined by an abnormality prediction model, wherein the abnormality prediction model is a machine learning model, and the estimated abnormal point refers to a test parameter included in a test case that is estimated to be likely to be identified as an abnormal test case; Based on the estimated abnormal point, determining the subsequent test parameters; Based on the subsequent test parameters, performing subsequent tests on the preheating system; The subsequent test parameters also include monitoring parameters of the monitoring component, the monitoring parameters refer to the time series formed by the time points at which the monitoring component collects the heating process data, the heating process data refer to the temperature data of the heating stage in the preheating process data, and the monitoring parameters of the monitoring component are determined based on the following steps: Based on the ambient temperature in the box, the amount of oil and / or coolant, and the type of fuel and / or coolant, a temperature rise stable phase node of a subsequent test is determined through a temperature rise model, wherein the temperature rise model is a machine learning model; Based on the temperature rising stable stage node, the monitoring parameter is determined.

2. The device according to claim 1, characterized in that It also includes an in-box temperature control component; the in-box temperature control component is configured to adjust the ambient temperature in the box; The control component is also configured to: Sending a temperature control instruction to the temperature control component in the box to adjust the ambient temperature in the box; Get the adjusted ambient temperature inside the box; In response to the adjusted in-box ambient temperature being in compliance with the temperature control instruction, starting the preheating system and acquiring the preheating process data; Based on the preheating process data at different ambient temperatures inside the box, the preheating performance of the preheating system at different ambient temperatures inside the box is determined.

3. The device according to claim 2, characterized in that The control component is further configured to: Based on the preheating process data, determining a temperature change curve, wherein the temperature change curve includes a fuel temperature curve and / or a coolant temperature curve; Based on the temperature variation curve, the preheating performance of the preheating system is determined.

4. A preheating system testing method, characterized in that: Execution based on a control component of a preheating system test device, the preheating system test device also includes a test box, an oil tank, a cooling tank, and a monitoring component; The method comprises: Based on the switch of the automatic valve, at least one of the oil amount in the oil tank and the coolant amount in the cooling tank is controlled; Controlling the preheating system to perform a preheating test on at least one amount of fuel and / or at least one amount of coolant; Based on the monitoring component, obtaining preheating process data corresponding to the preheating test; Based on the preheating process data, evaluating the preheating performance of the preheating system and determining the preheating end time point; Determine subsequent test parameters based on at least one performed test case; the subsequent test parameters include a test oil volume and / or a coolant test volume, wherein determining the subsequent test parameters includes: Based on the at least one performed test case, an estimated abnormal point is determined by an abnormality prediction model, wherein the abnormality prediction model is a machine learning model, and the estimated abnormal point refers to a test parameter included in a test case that is estimated to be likely to be identified as an abnormal test case; Based on the estimated abnormal point, determining the subsequent test parameters; Based on the subsequent test parameters, performing subsequent tests on the preheating system; The subsequent test parameters also include monitoring parameters of the monitoring component, the monitoring parameters refer to the time series formed by the time points at which the monitoring component collects the heating process data, the heating process data refer to the temperature data of the heating stage in the preheating process data, and the monitoring parameters of the monitoring component are determined based on the following steps: Based on the ambient temperature in the box, the amount of oil and / or coolant, and the type of fuel and / or coolant, a temperature rise stable phase node of a subsequent test is determined through a temperature rise model, wherein the temperature rise model is a machine learning model; Based on the temperature rising stable stage node, the monitoring parameter is determined.

5. The method according to claim 4, characterized in that The preheating system testing device also includes a temperature control component in the box; The method further comprises: Sending a temperature control instruction to the temperature control component in the box to adjust the ambient temperature in the box; Get the adjusted ambient temperature inside the box; In response to the adjusted in-box ambient temperature being in compliance with the temperature control instruction, starting the preheating system and acquiring the preheating process data; Based on the preheating process data at different ambient temperatures inside the box, the preheating performance of the preheating system at different ambient temperatures inside the box is determined.

6. The method according to claim 4, characterized in that The determining the preheating performance of the preheating system at different in-box ambient temperatures based on the preheating process data at different in-box ambient temperatures includes: Based on the preheating process data, determining a temperature change curve, wherein the temperature change curve includes a fuel temperature curve and / or a coolant temperature curve; Based on the temperature variation curve, the preheating performance of the preheating system is determined.

7. A preheating system test system, characterized in that: The system includes at least one processor and at least one storage device. The at least one storage device is used to store computer instructions; The at least one processor is used to execute at least part of the computer instructions to implement the preheating system testing method as described in any one of claims 4 to 6.

8. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions, and when the computer instructions are executed by the processor, the preheating system testing method according to any one of claims 4 to 6 is implemented.

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