Method for detecting failure of a thermal insulation device and related device
By monitoring the operating parameters of the insulation equipment, detecting the performance of the vacuum insulation panel, and generating a prompt signal when the threshold is met, the problem of increased power consumption caused by the failure of the vacuum insulation panel is solved, enabling timely response and power management for users.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ECOFLOW INC
- Filing Date
- 2022-11-03
- Publication Date
- 2026-06-26
AI Technical Summary
The thermal insulation function of vacuum insulation panels may fail or be reduced without the user's knowledge, leading to increased power consumption of the insulation equipment and causing inconvenience to the user.
By monitoring the operating parameters of the insulation equipment, such as power consumption, vibration parameters and ambient temperature, the performance parameters of the vacuum insulation panel are detected, and a prompt signal or response operation is generated when the preset threshold is met, so as to promptly notify the user of the vacuum insulation panel failure.
Users can be promptly notified of any weakening or failure of the thermal insulation function of the vacuum insulation panel, enabling them to take timely emergency measures, improve user experience, and avoid unexpected increases in power consumption.
Smart Images
Figure CN115575154B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of intelligent control technology, and in particular to a fault detection method and related equipment for thermal insulation equipment. Background Technology
[0002] Vacuum insulation panels (VIPs) can be used in insulated equipment such as RVs and refrigerators. Through thermal insulation, they can reduce the power consumption of internal air conditioning or heating equipment, or even the insulation equipment itself, thereby reducing energy consumption. However, the thermal insulation function of vacuum insulation panels may fail or diminish due to various unpredictable factors. This could lead to unexpected increases in energy consumption and decreased insulation performance without the user's knowledge, causing inconvenience. Summary of the Invention
[0003] In view of this, embodiments of this application provide a fault detection method and related equipment for thermal insulation equipment, which solves the problem that the thermal insulation function of the vacuum insulation board may be weakened or fail without the user's knowledge, resulting in an unexpected increase in the power consumption of the thermal insulation equipment.
[0004] In a first aspect, embodiments of this application provide a fault detection method for a thermal insulation device, the thermal insulation device including a vacuum insulation panel, the fault detection method including: monitoring the operating parameters of the thermal insulation device; when the operating parameters meet preset conditions, detecting the performance parameters of the vacuum insulation panel; and when the performance parameters meet preset parameter thresholds, executing a preset response operation.
[0005] In one possible implementation, the insulation device further includes a temperature regulation module, the operating parameter being the power consumption of the temperature regulation module, and the step of detecting the performance parameters of the vacuum insulation panel when the operating parameter meets preset conditions includes: detecting the performance parameters of the vacuum insulation panel when the power consumption is greater than or equal to a preset power threshold.
[0006] In one possible implementation, the fault detection method further includes: acquiring the ambient temperature of the insulation equipment; acquiring the preset temperature of the temperature regulation module; and detecting the performance parameters of the vacuum insulation panel when the power consumption is greater than or equal to a preset power threshold, including: detecting the performance parameters of the vacuum insulation panel when the power consumption is greater than or equal to the preset power threshold and the difference between the ambient temperature and the preset temperature is less than or equal to a preset temperature difference threshold.
[0007] In one possible implementation, the operating parameters are the vibration parameters of the insulation equipment, and the step of detecting the performance parameters of the vacuum insulation board when the operating parameters meet preset conditions includes: detecting the performance parameters of the vacuum insulation board when the vibration parameters are greater than or equal to a preset vibration threshold.
[0008] In one possible implementation, the fault detection method further includes: acquiring an image of the current travel path of the insulation equipment when the insulation equipment is in a driving state; identifying the image to determine the path category of the current travel path; and detecting the performance parameters of the vacuum insulation panel when the path category is a target category; the target category is used to indicate that the current travel path is a bumpy path.
[0009] In one possible implementation, the insulation device further includes a target power module, and the execution of the preset response operation includes: reducing the power supply of the target power module.
[0010] In one possible implementation, the execution of the preset response operation includes generating a prompt signal to indicate that the vacuum insulation panel has malfunctioned.
[0011] Secondly, embodiments of this application provide a heat preservation device, including a vacuum insulation panel, a processor, and a memory. The memory is used to store instructions, and the processor is used to call the instructions in the memory, causing the processor to execute the aforementioned fault detection method for the heat preservation device.
[0012] Thirdly, embodiments of this application provide an electronic device, which includes a processor and a memory. The memory is used to store instructions, and the processor is used to call the instructions in the memory to cause the electronic device to execute the above-described fault detection method for heat preservation equipment.
[0013] Fourthly, embodiments of this application provide a computer-readable storage medium including computer instructions that, when executed on an electronic device, cause the electronic device to perform the aforementioned fault detection method for heat preservation equipment.
[0014] The fault detection method and related equipment for thermal insulation equipment provided in this application trigger the detection of the performance parameters of the vacuum insulation board when the operating parameters of the thermal insulation equipment meet preset conditions. When the performance parameters of the vacuum insulation board meet preset parameter thresholds, it is determined that the thermal insulation function of the vacuum insulation board is weakened, and a preset response operation is executed. This allows users to know in a timely manner whether the thermal insulation function of the vacuum insulation board is weakened or fails, so that users can take appropriate emergency measures, thereby effectively improving the user experience. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0016] Figure 1 A flowchart of a fault detection method for a thermal insulation device provided in an embodiment of this application.
[0017] Figure 2 This is a schematic diagram illustrating an application scenario of the fault detection method for thermal insulation equipment provided in an embodiment of this application.
[0018] Figure 3 A flowchart of a fault detection method for a thermal insulation device provided in an embodiment of this application.
[0019] Figure 4 This is a schematic diagram illustrating an application scenario of the fault detection method for thermal insulation equipment provided in an embodiment of this application.
[0020] Figure 5 A flowchart of a fault detection method for a thermal insulation device provided in an embodiment of this application.
[0021] Figure 6 A flowchart of a fault detection method for a thermal insulation device provided in an embodiment of this application.
[0022] Figure 7 This is a schematic diagram illustrating an application scenario of the fault detection method for thermal insulation equipment provided in an embodiment of this application.
[0023] Figure 8 A flowchart of a fault detection method for a thermal insulation device provided in an embodiment of this application.
[0024] Figure 9 This is a schematic diagram illustrating an application scenario of the fault detection method for thermal insulation equipment provided in an embodiment of this application.
[0025] Figure 10 A flowchart of a fault detection method for a thermal insulation device provided in an embodiment of this application.
[0026] Figure 11 This is a schematic diagram illustrating an application scenario of the fault detection method for thermal insulation equipment provided in an embodiment of this application.
[0027] Figure 12 This is a schematic diagram of the structure of a heat preservation device provided in an embodiment of this application.
[0028] Figure 13 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0029] To better understand the above-mentioned objectives, features, and advantages of this application, the application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.
[0030] Numerous specific details are set forth in the following description to provide a thorough understanding of this application. The described embodiments are merely some, not all, of the embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
[0032] Vacuum insulation panels are a type of vacuum insulation material composed of a core filler and a vacuum protective surface layer. They effectively prevent heat transfer caused by air convection, significantly reducing thermal conductivity. They can be used in insulated equipment such as RVs, refrigerators, and vending machines. Through thermal insulation, they can reduce the power consumption of internal air conditioning or heating equipment, or even the equipment itself, thus reducing overall energy consumption. However, the thermal insulation function of vacuum insulation panels may fail or decrease under unpredictable circumstances. This can lead to an unexpected increase in power consumption for temperature control devices within the insulated equipment, disrupting the user's electricity usage plan and causing inconvenience. It's important to understand that "insulated equipment" refers to equipment with thermal insulation functions, not specifically refrigerators, air conditioners, or freezers designed for temperature control.
[0033] To prevent the thermal insulation function of vacuum insulation panels from failing or decreasing unpredictably, thus causing an unexpected increase in power consumption of temperature-regulating equipment within the insulation system, this application provides a fault detection method for insulation equipment. (See reference...) Figure 1 The diagram shown is a flowchart of a fault detection method for a thermal insulation device according to an embodiment of this application. The fault detection method in this embodiment can be applied to, for example... Figure 2 The insulation device 100 shown can be any type of equipment such as a refrigerator or RV. The insulation device 100 includes a vacuum insulation panel 110 and a processor 120. The processor 120 is used to execute steps S100, S200, and S300.
[0034] S100 monitors the operating parameters of the insulation equipment.
[0035] In this embodiment, the operating parameters are used to characterize the quality of the operating environment of the thermal insulation equipment. The aforementioned operating parameters may include any one or more combinations of parameters such as power consumption and vibration parameters, and this application does not limit them.
[0036] Monitoring the operating parameters of the insulation equipment includes acquiring the operating parameters of the insulation equipment at preset time intervals. The preset time is the interval between two consecutive acquisitions of the operating parameters of the insulation equipment. Optionally, the preset time can be any duration such as 1 minute, 5 minutes, or 10 minutes. In other embodiments, the preset time can also be set to other times as needed, and this application does not limit this.
[0037] S200 detects the performance parameters of the vacuum insulation panel when the operating parameters meet the preset conditions.
[0038] In this embodiment, the preset condition can be a preset relationship between the operating parameter and the preset threshold. For example, the operating parameter is greater than, less than, equal to, greater than or equal to, or less than or equal to the preset threshold. For example, assuming the preset condition is that the operating parameter is less than the preset threshold, when the operating parameter is detected to be less than the preset threshold, it can be determined that the operating parameter meets the preset condition, thereby triggering the detection of the performance parameters of the vacuum insulation panel.
[0039] In some embodiments, detecting the performance parameters of a vacuum insulation panel can be achieved by detecting the vacuum level within the panel. For example, the vacuum level can be detected by placing a vacuum sensor in the vacuum layer of the vacuum insulation panel; the vacuum sensor can be a resonant vacuum sensor.
[0040] Specifically, the vacuum sensor can detect the vacuum level of the vacuum insulation panel by: externally exciting the resonant vacuum sensor with an external detection instrument to obtain the resonant frequency, and then determining the vacuum level of the vacuum insulation panel based on the relationship between the resonant frequency and the vacuum level.
[0041] In other embodiments, the performance parameters of the vacuum insulation panel can also be measured by detecting the humidity within the panel. It should be noted that the vacuum insulation panel uses a core insulation material, which has a porous structure and easily absorbs moisture, leading to increased humidity. Furthermore, during use, the core insulation material may release some moisture and gas due to aging and decomposition, further increasing humidity. For example, if the vacuum insulation panel uses an insulation material with a thermal conductivity of 0.03 W / (m·K), the thermal conductivity increases by 25% after the insulation material absorbs 1% moisture. When the moisture content in the core insulation material exceeds 1.67%, the vacuum insulation panel loses its superior insulation performance; and when the moisture content reaches 8.6%, the vacuum insulation panel completely loses its insulation capability.
[0042] In some embodiments, detecting the humidity of the vacuum insulation panel includes calculating the humidity of the vacuum insulation panel based on its current weight and initial weight. The humidity W0 of the vacuum insulation panel is defined as (g1-g2) / g2*100%, where g1 is the weight of the vacuum insulation panel after it contains water, and g2 is the weight of the material after drying to a constant weight state, i.e., the initial weight of the vacuum insulation panel. In other embodiments, a humidity sensor may be installed in the vacuum insulation panel to detect its humidity.
[0043] S300 executes a preset response operation when the performance parameters meet the preset parameter thresholds.
[0044] In this embodiment, the preset parameter threshold is a preset limit value for the performance parameters to meet the requirements.
[0045] If the above performance parameter is vacuum level, then when the vacuum level is greater than or equal to a preset vacuum level threshold, a preset response operation will be executed. The preset vacuum level threshold can be -75 kPa or other values. It should be noted that vacuum level is a negative number; the lower the vacuum level, the closer it is to a vacuum. Therefore, when the vacuum level is greater than or equal to the preset vacuum level threshold, it indicates that the vacuum level of the vacuum insulation panel is abnormal, and thus the preset response operation will be executed.
[0046] If the above performance parameter is humidity, then when the humidity is greater than or equal to the preset humidity threshold, the preset response operation will be executed. The corresponding preset humidity threshold can be 1% or other values.
[0047] The preset response operations include: generating a prompt signal to indicate that the vacuum insulation panel has malfunctioned. Users can then repair or replace the vacuum insulation panel in a timely manner, or take other emergency measures based on the prompt signal.
[0048] The alert signal can be any combination of one or more of sound signals, light signals, and vibration signals. The sound signal can be voice or a ringtone output through a speaker. The light signal can be a light emitted by an alert light with a preset color (e.g., red) or flashing. The vibration signal can be vibration output by a buzzer device. In other embodiments, the alert signal can also be an alert message sent to a user device (e.g., a mobile phone) via a wireless network or mobile communication network, such as a voice call, a text message, or an application push notification.
[0049] See Figure 3 The diagram shown is a flowchart of a fault detection method for a thermal insulation device according to another embodiment of this application. The fault detection method in this embodiment can be applied to, for example... Figure 4 The insulation device 100 shown includes a vacuum insulation panel 110, a processor 120, and a temperature regulation module 130. The processor 120 is also used to execute steps S110, S210, and S300.
[0050] S110 monitors the power consumption of the temperature regulation module of the insulation equipment.
[0051] The temperature control module can be used for cooling or heating of the insulation equipment. The power consumption of the temperature control module is the electrical energy consumed by the temperature control module. Monitoring the power consumption of the temperature control module can be done by acquiring the power consumption of the temperature control module at preset intervals.
[0052] S210 detects the performance parameters of the vacuum insulation panel when the power consumption is greater than or equal to a preset power threshold.
[0053] In this embodiment, the preset condition can be that the power consumption of the temperature regulation module is greater than or equal to a preset power threshold. That is, when the power consumption is detected to be greater than or equal to the preset power threshold, it is determined that the operating parameters meet the preset condition, thereby triggering the detection of the performance parameters of the vacuum insulation panel. Optionally, the preset power threshold can be set to 2000W or other values.
[0054] In this embodiment, the performance parameters of the vacuum insulation panel are measured, including the vacuum level and / or humidity of the vacuum insulation panel.
[0055] S300 executes a preset response operation when the performance parameters meet the preset parameter thresholds.
[0056] Specifically, when the performance parameters meet the preset parameter thresholds, the preset response operations are executed, including: when the vacuum degree is greater than or equal to the preset vacuum degree threshold, or when the humidity is greater than or equal to the preset humidity threshold, generating a prompt signal, which is used to indicate that the vacuum insulation panel has malfunctioned.
[0057] In this embodiment, if the vacuum insulation panel in the insulation equipment does not fail, the power consumption of the temperature regulation module will be relatively stable. If the insulation performance of the vacuum insulation panel in the insulation equipment fails, it may cause abnormal changes in the power consumption of the temperature regulation module in the insulation system. Therefore, by monitoring the power consumption of the temperature regulation module, the performance of the vacuum insulation panel can be tested in a timely manner, and a response operation can be performed promptly when the vacuum insulation panel fails.
[0058] See Figure 5 The diagram shown is a flowchart of a fault detection method for a thermal insulation device according to another embodiment of this application. The fault detection method in this embodiment can be applied to, for example... Figure 4 In the heat preservation device 100 shown, the processor 120 is also used to execute steps S110, S400, S500, S211 and S300.
[0059] S110 monitors the power consumption of the temperature regulation module of the insulation equipment.
[0060] In this embodiment, monitoring the power consumption of the temperature regulation module of the insulation equipment includes: acquiring the power consumption of the temperature regulation module at preset intervals.
[0061] S400 obtains the ambient temperature of the insulation equipment.
[0062] The ambient temperature within the insulation equipment can be obtained by a temperature sensor located outside the insulation equipment. Furthermore, in this embodiment, the ambient temperature of the insulation equipment can be continuously acquired at preset time intervals.
[0063] S500: Obtain the preset temperature of the temperature regulation module.
[0064] The preset temperature of the temperature control module can be either the factory-set temperature of the insulation device or a user-defined temperature. For example, when the insulation device is a refrigerator, the preset temperature for the food preservation compartment can be -5℃ at the factory. When the insulation device is a motorhome and the temperature control module is an air conditioner, the user-defined air conditioner temperature can be used. It's understandable that this preset temperature can be variable or fixed, and can be set according to different application scenarios.
[0065] S211, when the power consumption is greater than or equal to a preset power threshold, and the difference between the ambient temperature and the preset temperature is less than or equal to a preset temperature difference threshold, the performance parameters of the vacuum insulation panel are detected.
[0066] In this embodiment, after obtaining the ambient temperature of the insulation equipment and the preset temperature of the temperature regulation module, the difference between the ambient temperature and the preset temperature can be determined. It is understood that due to the accuracy of the detection device or small fluctuations in the environment, the detected ambient temperature of the insulation equipment will usually show some discrepancies. Therefore, when the preset temperature of the temperature regulation module remains unchanged, if the difference between the ambient temperature and the preset temperature is less than or equal to a preset temperature difference threshold, the power consumption of the temperature regulation module can be considered relatively stable and remain within a certain range.
[0067] Once the temperature control module is operating stably, its energy consumption remains relatively stable as long as the difference between the current ambient temperature and the preset temperature within a certain range. Therefore, when the difference between the ambient temperature and the preset temperature is fixed, the theoretical power consumption of the temperature control module is also fixed. Furthermore, different differences between the ambient temperature and the preset temperature correspond to different theoretical power consumption values. Generally speaking, the larger the difference between the ambient temperature and the preset temperature, the greater the power consumption.
[0068] Therefore, when the detected power consumption is greater than or equal to the preset power threshold, it may be due to a large difference between the ambient temperature and the preset temperature, or it may be due to the failure of the vacuum insulation panel. In this case, the difference between the ambient temperature and the preset temperature can be obtained.
[0069] If the power consumption of the temperature control module is greater than or equal to the preset power threshold, and the difference between the ambient temperature and the preset temperature is less than or equal to the preset temperature difference threshold, it indicates a high probability that the power consumption is greater than or equal to the preset power threshold due to a failure of the vacuum insulation panel. In this case, the performance parameters of the vacuum insulation panel can be checked.
[0070] Optionally, the preset power threshold and preset temperature difference threshold can be set according to actual needs. For example, in an exemplary scenario, the preset power threshold can be set to 2000W, and the preset temperature difference threshold can be set to 3℃. In other embodiments, the preset power threshold and preset temperature difference threshold can also be set to other values as needed.
[0071] For example, the temperature control module is an air conditioner installed inside the RV, with the preset temperature being the user-set air conditioning cooling temperature. If the difference between the ambient temperature and the preset temperature is less than or equal to the preset temperature difference threshold, it indicates that the ambient temperature or air conditioning cooling temperature has not changed abruptly. If, at this time, the power consumption of the temperature control module is greater than or equal to the preset power threshold, it indicates that the power consumption of the temperature control module is abnormal. Consequently, it is necessary to check the performance parameters of the vacuum insulation panel to determine whether the thermal insulation function of the vacuum insulation panel has weakened.
[0072] For example, if the user sets the air conditioner cooling temperature to 28℃ and the ambient temperature to 38℃ in two consecutive data acquisitions, meaning that the preset temperature and ambient temperature have not changed, the theoretical power consumption corresponding to the air conditioner cooling temperature of 28℃ and the ambient temperature of 38℃ is 800W. This theoretical power consumption is used as the preset power threshold. If the current power consumption of the air conditioner is detected to be 1500W, which is greater than the preset power threshold, it is determined that the power consumption of the temperature regulation module is abnormal, which may be due to the failure of the insulation effect of the vacuum insulation board, triggering the detection of the performance parameters of the vacuum insulation board.
[0073] S300 executes a preset response operation when the performance parameters meet the preset parameter thresholds.
[0074] Specifically, when the performance parameters meet the preset parameter thresholds, the preset response operations are executed, including: when the vacuum degree is greater than or equal to the preset vacuum degree threshold, or when the humidity is greater than or equal to the preset humidity threshold, generating a prompt signal, which is used to indicate that the vacuum insulation panel has malfunctioned.
[0075] In this embodiment, by monitoring the ambient temperature, the preset temperature of the temperature regulation module, and the power consumption of the temperature regulation module, if there is no abnormality in the difference between the ambient temperature and the preset temperature of the temperature regulation module, but the power consumption of the temperature regulation module changes significantly, it is determined that the insulation function of the vacuum insulation board of the insulation equipment may be in failure, thereby timely testing the performance parameters of the vacuum insulation board.
[0076] In some embodiments, if the power consumption is greater than or equal to a preset power threshold, and the difference between the ambient temperature and the preset temperature is greater than a preset temperature difference threshold, then the performance parameters of the vacuum insulation panel are not detected.
[0077] If the difference between the ambient temperature and the preset temperature exceeds the preset temperature difference threshold, it indicates a possible sudden change in either the ambient temperature or the air conditioner's preset temperature. This large temperature difference causes the power consumption to exceed or equal the preset power threshold. In this case, it's understandable that the temperature control module's power consumption exceeds the preset power threshold to ensure the air conditioner's cooling or heating performance. Therefore, to prevent frequent triggering of vacuum level detection on the vacuum insulation panel, the current power consumption of the temperature control module can be considered normal, and vacuum level detection will not be performed.
[0078] In some embodiments, after S500, the method further includes: obtaining a mapping table, which includes an ambient temperature value, a preset temperature value, and a theoretical power consumption value; obtaining from the mapping table the ambient temperature where the insulation device is located and the theoretical power consumption value of the temperature regulation module at the preset temperature; if the power consumption of the current temperature regulation module is greater than the theoretical power consumption value, detecting the performance parameters of the vacuum insulation board, and performing a preset response operation when the performance parameters are greater than or equal to a preset parameter threshold.
[0079] In this embodiment, the ambient temperature value is the ambient temperature of the insulation device, the preset temperature value is the preset temperature of the temperature regulation module in the insulation device, and the theoretical power consumption is the theoretical power consumption of the temperature regulation module when it operates at the current ambient temperature to make the indoor temperature reach the preset temperature.
[0080] The mapping table can be set by the processor of the insulation equipment at the factory, or it can be obtained through training based on data from the user's actual usage. Specifically, obtaining the mapping table based on user usage data includes: determining the mapping relationship between ambient temperature, the preset temperature of the temperature control module, and the power consumption of the temperature control module based on multiple acquired ambient temperatures, the preset temperature of the temperature control module, and the corresponding power consumption of the temperature control module, assuming the thermal insulation function of the vacuum insulation panel of the insulation equipment is not weakened.
[0081] For example, the preset temperature of the temperature control module is 15℃, and the ambient temperature is 38℃. The theoretical power consumption corresponding to the air conditioner's cooling temperature of 15℃ and the ambient temperature of 38℃ in the mapping table is 1000W. If the power consumption of the air conditioner is detected to be 1500W, it is determined that the insulation effect of the insulation equipment is abnormal, triggering the detection of the performance parameters in the vacuum insulation board. When the performance parameters are greater than or equal to the preset parameter threshold, the preset response operation is executed, such as prompting the user to replace or repair the vacuum insulation board.
[0082] See Figure 6 The diagram shown is a flowchart of a fault detection method for a thermal insulation device according to another embodiment of this application. The fault detection method in this embodiment can be applied to, for example... Figure 7 The insulation device 100 shown includes a vacuum insulation panel 110, a processor 120, and a vibration sensor 140. The processor 120 is also used to execute steps S120, S220, and S300.
[0083] S120 monitors the vibration parameters of thermal insulation equipment.
[0084] As mentioned above, vacuum insulation panels are composed of a core material and a vacuum protective surface layer. They lack exceptional toughness and, like most building materials, are prone to breakage and damage under severe vibration. When a vacuum insulation panel breaks due to damage, the external atmospheric pressure is greater than the internal pressure, causing the panel to fail rapidly. Therefore, it is necessary to monitor the vibration parameters of the insulation equipment.
[0085] In some embodiments, the above-mentioned insulation device 100 may be a device with a self-moving function. In this case, if the insulation device travels on a bumpy path, it will generate significant vibration, which may easily damage the vacuum insulation panel.
[0086] Therefore, in these embodiments, the vibration parameters of the insulation equipment can be detected, and the performance parameters of the vacuum insulation panel can be determined based on these vibration parameters. Monitoring the vibration parameters of the insulation equipment includes acquiring these parameters at preset time intervals using a vibration sensor. Specifically, the vibration sensor can convert the detected vibration into a voltage output, and the voltage value output by the vibration sensor can be used as the vibration parameter of the insulation equipment.
[0087] S220 detects the performance parameters of the vacuum insulation panel when the vibration parameters are greater than or equal to the preset vibration threshold.
[0088] The preset vibration threshold can be the compressive strength parameter of the vacuum insulation panel. Vacuum insulation panels from different manufacturers or made of different materials have different compressive strength parameters. Therefore, the preset vibration threshold can be set accordingly based on these compressive strength parameters.
[0089] Specifically, when the voltage value output by the vibration sensor is greater than or equal to a preset vibration threshold, the vibration parameter is determined to be greater than or equal to the preset vibration threshold. Optionally, the preset vibration threshold is 5V. In other embodiments, the preset vibration threshold can also be set to other values as needed.
[0090] S300 executes a preset response operation when the performance parameters meet the preset parameter thresholds.
[0091] Specifically, when the performance parameters meet the preset parameter thresholds, the preset response operations are executed, including: when the vacuum degree is greater than or equal to the preset vacuum degree threshold, or when the humidity is greater than or equal to the preset humidity threshold, generating a prompt signal, which is used to indicate that the vacuum insulation panel has malfunctioned.
[0092] See Figure 8 The diagram shown is a flowchart of a fault detection method for a thermal insulation device according to another embodiment of this application. In this embodiment, the thermal insulation device has a self-moving function. The fault detection method in this embodiment can be applied to, for example... Figure 9The insulation device 100 shown can be a motorhome. The insulation device 100 includes a vacuum insulation panel 110, a processor 120 and a camera device 150. The processor 120 is also used to execute steps S600, S700, S800 and S300.
[0093] S600 acquires an image of the current travel path of the insulation equipment when the insulation equipment is in motion.
[0094] In this embodiment, acquiring images of the current driving path of the insulation equipment includes: capturing images of the current driving path of the insulation equipment at preset time intervals using a camera device. The camera device can be a dashcam in the RV, located near the windshield.
[0095] The S700 identifies the image and determines the path category of the current driving route.
[0096] In some embodiments, the insulation device may pre-store at least one image of a flat road, and the path category includes flat paths and bumpy paths. Recognizing the image to determine the path category of the current driving path includes: comparing the captured image of the current driving path with at least one image of a flat path, determining whether the image of the current driving path matches the image of the at least one image of a flat path; if the image of the current driving path matches the image of a flat path, the current driving path is determined to be a flat path; if the image of the current driving path does not match the image of a flat path, the current driving path is determined to be a bumpy path.
[0097] Specifically, the image of the current driving path is compared with at least one flat path image, the similarity between the current driving path image and the at least one flat path image is calculated, and it is determined whether the similarity is greater than or equal to a preset percentage. If the similarity is greater than or equal to the preset percentage, it is determined that the image of the current driving path matches the flat path image; if the similarity is less than the preset percentage, it is determined that the image of the current driving path does not match the flat path image.
[0098] In other embodiments, the insulation device may also be equipped with an image classification model. When an image of the current driving path is acquired, the image of the current driving path is input into the image classification model to obtain the path category corresponding to the image of the current driving path. The specific type of the image classification model can be set according to actual needs. For example, the image classification model can be any one of the following models: support vector machine model, neural network model, decision tree model, etc. This application does not limit this.
[0099] S800 detects the performance parameters of the vacuum insulation panel when the path category is the target category.
[0100] In this embodiment, the target category is used to indicate that the current driving path is a bumpy path, that is, when the path category is a bumpy path, the vacuum degree of the vacuum insulation panel is detected.
[0101] S300 executes a preset response operation when the performance parameters meet the preset parameter thresholds.
[0102] Specifically, when the performance parameters meet the preset parameter thresholds, the preset response operations are executed, including: when the vacuum degree is greater than or equal to the preset vacuum degree threshold, or when the humidity is greater than or equal to the preset humidity threshold, generating a prompt signal, which is used to indicate that the vacuum insulation panel has malfunctioned.
[0103] See Figure 10 The diagram shown is a flowchart of a fault detection method for a thermal insulation device according to another embodiment of this application. The fault detection method in this embodiment can be applied to, for example... Figure 11 The insulation device 100 shown has a self-moving function. For example, the insulation device 100 can be a motorhome. The insulation device 100 includes a vacuum insulation panel 110, a processor 120 and a target power module 160. The processor 120 is also used to execute steps S100, S200 and S310.
[0104] S100 monitors the operating parameters of the insulation equipment.
[0105] In this embodiment, monitoring the operating parameters of the insulation equipment includes acquiring the operating parameters of the insulation equipment at preset time intervals. The preset time is the interval between two consecutive acquisitions of the operating parameters of the insulation equipment. Optionally, the preset time can be 10 minutes. In other embodiments, the preset time can also be set to other times as needed.
[0106] S200 detects the performance parameters of the vacuum insulation panel when the operating parameters meet the preset conditions.
[0107] In this embodiment, the preset condition can be a preset relationship between the operating parameter and a preset threshold. For example, the operating parameter is greater than, less than, equal to, greater than or equal to, or less than or equal to the preset threshold. That is, when the operating parameter is greater than, less than, equal to, greater than or equal to, or less than or equal to the preset threshold, it is determined that the operating parameter meets the preset condition, thereby triggering the detection of the performance parameters of the vacuum insulation panel.
[0108] In this embodiment, the performance parameters of the vacuum insulation panel are measured, including the vacuum level and / or humidity of the vacuum insulation panel.
[0109] S310 reduces the power supply of the target power module when the performance parameters are greater than or equal to the preset parameter thresholds.
[0110] In this embodiment, the target power module includes multiple electrical appliances. The power supply power of the target power module is the power supply power provided by the energy storage module within the self-moving device or insulation equipment. For example, the target power supply module is a hair dryer with a rated power of 200W to 1000W, while the power supply power provided by the energy storage module can be 500W. Therefore, when the performance parameters detected in the vacuum insulation panel are greater than or equal to a preset parameter threshold, the power supply power from the energy storage module to the target power supply module can be reduced, for example, from 1000W to 200W.
[0111] This system can also set different power supply priorities for different electrical appliances, reducing or shutting down the power supply to the appliances based on their priorities, thereby reducing the power supply to the target electrical module. For example, multiple appliances including a refrigerator, induction cooker, and stereo can have their power supply priorities set to high, medium, and low, respectively.
[0112] Specifically, when users need to maintain a constant temperature inside the RV (e.g., 26°C), but the thermal insulation function of the vacuum insulation panels decreases, the system can prioritize each electrical appliance and reduce or shut off the power supply to appliances with lower priority. For example, if the lowest priority appliance is the audio system, then when it is necessary to reduce the power supply of the power module, the power supply to the audio system will be reduced or shut off first.
[0113] In this embodiment, when the performance parameters of the vacuum insulation panel are detected to be greater than or equal to the preset parameter threshold, it is considered that the vacuum insulation panel may completely fail within a certain period of time. Therefore, reducing the power supply of the target power module before the vacuum insulation panel completely fails can effectively allocate electrical energy reasonably.
[0114] In some embodiments, before reducing or shutting off the power supply to lower-priority appliances, interaction can be established with the user (e.g., sending a prompt message to the user's device via a wireless network or mobile communication network) to confirm whether to reduce or shut off the power supply to lower-priority appliances. The power supply to appliances can be adjusted according to the user's instructions. If no user instruction is received within a certain time, a default procedure is executed, reducing or shutting off the power supply to lower-priority appliances one by one in reverse priority order. For example, the power supply to the audio system, induction cooker, or refrigerator can be reduced or shut off sequentially, allowing the temperature control module to maintain a preset temperature inside the RV.
[0115] For example, by sending a prompt message to the user's device or outputting a voice prompt, the system can ask the user whether to turn off the power to the induction cooker (which has a low power priority) or the refrigerator (which has a medium power priority). Upon receiving the user's feedback, such as "do not turn off the refrigerator," the refrigerator will not stop operating. By asking the user whether to turn off the next lowest priority appliance, the system can rationally allocate power consumption when a decrease in the RV's insulation performance is detected.
[0116] In some embodiments, when the user needs to continuously maintain the temperature inside the RV (e.g., 26°C), but the thermal insulation function of the vacuum insulation panel decreases, the power supply of each electrical appliance can be switched. For example, the RV power supply originally powers the refrigerator. When the user receives the instruction not to turn off the refrigerator, it is determined whether the mobile energy storage power supply connected to the RV has power. If the mobile energy storage power supply has power, it can be switched to power the refrigerator.
[0117] In some embodiments, when the vacuum degree of the vacuum insulation panel is greater than or equal to a preset vacuum degree threshold, the vacuum degree of the vacuum insulation panel is monitored and recorded. The ambient temperature, the user-set interior temperature of the RV (e.g., air conditioning cooling temperature), the available power data in the RV, the power consumption data of each electrical appliance in the RV, the RV speed, and the distance between the RV and the next supply point are also monitored. The power consumption of the electrical appliances in the RV is adjusted so that the user can successfully reach the next supply point, that is, reach the next supply point before the set interior temperature of the RV is maintained and the available power in the RV is exhausted.
[0118] For example, when the vacuum level is greater than or equal to a preset vacuum threshold, the user still needs to maintain a temperature of 26°C inside the RV. Given a distance of 20 kilometers between the RV and the next resupply point and a current speed of 40 kilometers per hour, the system calculates the total power consumption of the RV's electrical equipment and the available energy as 5 kWh. By managing the power consumption of the RV's electrical equipment, the user can successfully reach the next resupply point. That is, the RV's travel time to the next resupply point based on the current speed is 80 km / 40 km / h = 2 hours. If the air conditioner maintaining the RV's temperature at 26°C has a power consumption of 1000W, then the air conditioner's power consumption for 2 hours is 2 kWh. With 5 kWh of available energy, the power consumption of electrical appliances other than the air conditioner in the RV is managed to be within 3 kWh.
[0119] Please see Figure 12 The diagram shown is a structural schematic of a heat preservation device provided in an embodiment of this application.
[0120] The thermal insulation device 100 includes, but is not limited to, a vacuum insulation panel 110, a processor 120, a memory 130, and a computer program 140 stored in the memory 130 and executable on the processor 120. For example, the computer program 140 is a fault detection program for the thermal insulation device 100. When the processor 120 executes the computer program 140, it implements the steps in the fault detection method for the thermal insulation device described above.
[0121] For example, computer program 140 may be divided into one or more modules / units, one or more of which are stored in memory 130 and executed by processor 120 to complete this application. One or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of computer program 140 in heat preservation device 100.
[0122] Those skilled in the art will understand that the schematic diagram is merely an example of the insulation device 100 and does not constitute a limitation on the insulation device 100. It may include more or fewer components than shown in the diagram, or combine certain components, or different components. For example, the insulation device 100 may also include input / output devices, network access devices, buses, etc.
[0123] Please see Figure 13 The diagram shown is a structural schematic of an electronic device provided in an embodiment of this application.
[0124] In one embodiment, the electronic device 200 is a device independent of the aforementioned insulation device, but capable of communicating with the insulation device. The electronic device 200 may be a personal computer, smartphone, home console, SmartHome Panel (SHP), etc.
[0125] Electronic device 200 includes, but is not limited to, processor 210, memory 220, and computer program 230 stored in memory 220 and executable on processor 210. For example, computer program 230 is a fault detection program. When processor 210 executes computer program 230, it implements the steps in the fault detection method for thermal insulation equipment.
[0126] For example, computer program 230 may be divided into one or more modules / units, one or more of which are stored in memory 220 and executed by processor 210 to complete this application. One or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of computer program 230 in electronic device 200.
[0127] Those skilled in the art will understand that the schematic diagram is merely an example of the electronic device 200 and does not constitute a limitation on the electronic device 200. It may include more or fewer components than shown, or combine certain components, or different components. For example, the electronic device 200 may also include input / output devices, network access devices, buses, etc.
[0128] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor, a processor, or any conventional processor. The processor is the control center of the insulation equipment, insulation device, or electronic equipment, connecting all parts of the insulation equipment, insulation device, or electronic equipment through various interfaces and lines.
[0129] Memory can be used to store computer programs and / or modules / units. The processor, by running or executing the computer programs and / or modules / units stored in the memory, and by accessing data stored in the memory, implements various functions of the insulation equipment, insulation device, or electronic device. Memory can mainly include a program storage area and a data storage area. The program storage area can store the operating system, at least one application program required for a function, etc.; the data storage area can store data created based on the use of the insulation equipment, insulation device, or electronic device (such as audio data, telephone directories, etc.). Furthermore, memory can include volatile and non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other storage devices.
[0130] If the modules / units integrated into the insulation equipment or electronic equipment are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), or a random access memory (RAM).
[0131] The fault detection method and related equipment for thermal insulation equipment provided in this application monitor the operating parameters of the thermal insulation equipment. When the operating parameters of the thermal insulation equipment meet preset conditions, a detection mechanism for the performance parameters of the vacuum insulation board is triggered. When the performance parameters of the vacuum insulation board meet preset parameter thresholds, i.e., when the thermal insulation function of the vacuum insulation board is weakened, a preset response operation is executed, so that users can know in time that the thermal insulation function of the vacuum insulation board is weakened, thereby effectively improving the user experience.
[0132] It will be apparent to those skilled in the art that this application is not limited to the details of the exemplary embodiments described above, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within this application. No reference numerals in the claims should be construed as limiting the scope of the claims. Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in the apparatus claims may also be implemented by the same unit or device in software or hardware. The terms "first," "second," etc., are used to indicate names and do not indicate any particular order.
[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit it. Although this application has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of this application without departing from the spirit and scope of the technical solutions of this application.
Claims
1. A fault detection method for thermal insulation equipment, characterized in that, The insulation equipment is a motorhome, and includes a vacuum insulation panel, a temperature regulation module, and a target power module. The target power module includes multiple electrical appliances, and its power supply is provided by an energy storage module within the insulation equipment. The fault detection method includes: Monitor the operating parameters of the insulation equipment, including the power consumption of the temperature regulation module; Obtain the ambient temperature of the insulation equipment; Obtain the preset temperature of the temperature regulation module; When the operating parameters meet the preset conditions, the performance parameters of the vacuum insulation panel are detected, including: when the power consumption is greater than or equal to a preset power threshold, and the difference between the ambient temperature and the preset temperature is less than or equal to a preset temperature difference threshold, the performance parameters of the vacuum insulation panel are detected, wherein the performance parameters include humidity; When the humidity is greater than or equal to a preset humidity threshold, a preset response operation is performed, including: reducing the power supply of the target power module so that the temperature regulation module maintains a preset temperature inside the RV.
2. The fault detection method as described in claim 1, characterized in that, The operating parameters include vibration parameters. The process of detecting the performance parameters of the vacuum insulation panel when the operating parameters meet the preset conditions includes: When the vibration parameter is greater than or equal to a preset vibration threshold, the performance parameters of the vacuum insulation panel are detected.
3. The fault detection method as described in claim 2, characterized in that, The fault detection method further includes: When the insulation equipment is in motion, acquire an image of the current travel path of the insulation equipment; The image is identified to determine the path category of the current driving route; When the path category is the target category, the performance parameters of the vacuum insulation panel are detected; the target category is used to indicate that the current driving path is a bumpy path.
4. The fault detection method as described in claim 1, characterized in that, The execution of the preset response operation includes: A prompt signal is generated to indicate that the vacuum insulation panel has malfunctioned.
5. A thermal insulation device, comprising a vacuum insulation panel, a processor, and a memory, wherein the memory is used to store instructions, and the processor is used to invoke the instructions in the memory to cause the processor to execute the fault detection method of the thermal insulation device according to any one of claims 1 to 4.
6. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory being used to store instructions, and the processor being used to invoke the instructions in the memory, causing the electronic device to execute the fault detection method for the heat preservation device according to any one of claims 1 to 4.
7. A computer-readable storage medium, characterized in that, The method includes computer instructions that, when executed on an electronic device, cause the electronic device to perform the fault detection method for the insulation device as described in any one of claims 1 to 4.