Smart bed detection method, device, smart bed and storage medium

Abstract

Embodiments of the present invention relate to a detection method, device, smart bed, and storage medium for a smart bed. The method includes: upon detecting that the smart bed is in heating mode, waking up a detection module, the detection module including a state detection submodule and a leakage detection submodule; determining the detection priority of the submodules in the detection module; performing state detection and / or leakage detection using the detection module based on the detection priority to obtain a detection result; and determining the safety detection result of the smart bed based on the detection result. By timely judging the test result of the smart bed through the detection of the detection module when the smart bed is heating, the purpose of safety detection of the smart bed is achieved; thereby, the technical effect of improving the safety of the smart bed and reducing safety hazards can be achieved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of circuit detection technology, and in particular to a detection method and device for a smart bed, a smart bed, and a storage medium. Background Art

[0002] In recent years, the application of smart beds has become more and more extensive. The structural design of smart mattresses and smart beds has become more and more humanized and intelligent. The height, heating position or heating temperature of the smart bed can be detected and controlled by detecting human body temperature or the position of the human body on the bed.

[0003] Traditional smart beds rely on heating devices for heating, and only have simple temperature controllers to control the temperature. However, no effective measures are taken to address other safety hazards, such as fire hazards caused by aging of heating components and leakage of heating devices. Summary of the Invention

[0004] In view of this, in order to solve the technical problem of the safety hazard of the above-mentioned smart bed during the heating process, the embodiments of the present invention provide a smart bed detection method, device, smart bed and storage medium.

[0005] In a first aspect, an embodiment of the present invention provides a method for detecting a smart bed, comprising:

[0006] When it is detected that the smart bed is in heating mode, the detection module is awakened, and the detection module includes a state detection submodule and a leakage detection submodule;

[0007] Determining the detection priority of the submodules in the detection module;

[0008] Performing status detection and / or leakage detection using the detection module based on the detection priority to obtain a detection result;

[0009] A safety detection result of the smart bed is determined based on the detection result.

[0010] In one possible implementation, determining the detection priority of the submodules in the detection module includes:

[0011] Acquire device wear data of the status detection submodule and determine the degree of wear, wherein the degree of device wear represents the degree of aging of the device;

[0012] Acquire leakage data from the leakage detection submodule and determine a leakage index, wherein the leakage index represents the range or magnitude of the leakage;

[0013] The degree of wear of the device is compared with the leakage index to determine the detection priority of the state detection submodule and the leakage detection submodule.

[0014] In one possible implementation, performing status detection and / or leakage detection using the detection module based on the detection priority to obtain a detection result includes:

[0015] Perform the following steps for the detection priority:

[0016] Utilizing the state detection submodule to perform state detection and obtain a state detection result;

[0017] and / or,

[0018] The leakage detection submodule is used to perform leakage detection based on the detection priority to obtain a leakage detection result.

[0019] In one possible implementation, performing status detection using the status detection submodule to obtain a status detection result includes:

[0020] Acquiring the device temperature value of the smart bed in the heating mode through the state detection submodule;

[0021] Comparing the device temperature value with a set temperature threshold to obtain a device temperature state;

[0022] A state detection result is determined according to the temperature state of the device.

[0023] In one possible implementation, comparing the device temperature value with a set temperature threshold to determine the device temperature state includes:

[0024] When the device temperature value is lower than the temperature threshold, determining that the device temperature state is a first normal state;

[0025] When the device temperature value is higher than the temperature threshold, the device temperature state is determined to be a first abnormal state.

[0026] In one possible implementation, determining a state detection result according to the device temperature state includes:

[0027] When the temperature state of the device is a first normal state, determining that the state detection result is that the device is not aged;

[0028] When the device temperature state is a first abnormal state, the state detection result is determined to be device aging.

[0029] In a possible implementation, performing leakage detection using the leakage detection submodule based on the detection priority to obtain a leakage detection result includes:

[0030] Obtaining a device leakage current value of the smart bed in heating mode through the leakage detection submodule;

[0031] Comparing the device leakage current value with a set leakage current threshold to obtain a device leakage state;

[0032] A leakage detection result is determined according to the leakage state of the device.

[0033] In one possible implementation, comparing the device leakage current value with a set leakage current threshold to determine the device leakage state includes:

[0034] When the device leakage current value is lower than the leakage current threshold, determining that the device leakage current state is a second normal state;

[0035] When the device leakage current value is higher than the leakage current threshold, the device leakage current state is determined to be a second abnormal state.

[0036] In one possible implementation, determining a leakage detection result according to the leakage state of the device includes:

[0037] When the device leakage current state is the second normal state, determining that the leakage detection result is that the device has no leakage;

[0038] When the device leakage current state is a second abnormal state, the leakage detection result is determined to be device leakage.

[0039] In one possible implementation, determining a safety detection result of the smart bed based on the detection result includes:

[0040] When the state detection result shows that the device is not aged and the leakage detection result shows that the device is not leaking, determining that the safety detection result is a safe state;

[0041] When the state detection result is device aging and the leakage detection result is device leakage, determining that the safety detection result is a dangerous state;

[0042] When the state detection result is device aging or the leakage detection result is device leakage, it is determined that the safety detection result is a dangerous state.

[0043] In one possible implementation, the method further includes:

[0044] generating a power-off instruction according to the dangerous state;

[0045] The smart bed is controlled to perform a power-off process based on the power-off instruction.

[0046] In a second aspect, an embodiment of the present invention provides a detection device for a smart bed, comprising:

[0047] A wake-up function module is used to wake up the detection module in the smart bed when it detects that the smart bed is in heating mode. The detection module includes a status detection submodule and a leakage detection submodule;

[0048] A priority determination module, used to determine the detection priority of the submodules in the detection module;

[0049] a detection module, configured to perform status detection and / or leakage detection using the detection module based on the detection priority to obtain a detection result;

[0050] A result determination module is used to determine the safety detection result of the smart bed based on the detection result.

[0051] In a third aspect, an embodiment of the present invention provides a smart bed, comprising: a processor and a memory, wherein the processor is configured to execute a smart bed detection program stored in the memory to implement any of the smart bed detection methods described in the first aspect.

[0052] In a fourth aspect, an embodiment of the present invention provides a storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the smart bed detection method described in any one of the first aspects.

[0053] The smart bed detection solution provided by an embodiment of the present invention wakes up a detection module upon detecting that the smart bed is in heating mode. The detection module includes a status detection submodule and a leakage detection submodule; determines the detection priority of the submodules in the detection module; performs status detection and / or leakage detection based on the detection priority to obtain a detection result; and determines the safety detection result of the smart bed based on the detection result. By timely determining the test result of the smart bed through the detection module when the smart bed is heating, the purpose of the smart bed safety detection is completed. This solution can achieve the technical effect of improving the safety of smart bed use and reducing safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0055] Figure 1 A schematic flow chart of a detection method for a smart bed provided in an embodiment of the present invention;

[0056] Figure 2 A schematic flow chart of another smart bed detection method provided by an embodiment of the present invention;

[0057] Figure 3A schematic flow chart of another smart bed detection method provided by an embodiment of the present invention;

[0058] Figure 4 A schematic structural diagram of a detection device for a smart bed provided in an embodiment of the present invention;

[0059] Figure 5 A schematic structural diagram of a smart bed provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0061] In the embodiments of the present invention, the terms "including" and "having" are intended to convey an open-ended, inclusive meaning and indicate that additional elements / components / etc. may be present in addition to the listed elements / components / etc.; the terms "first" and "second," etc., are used merely as labels and do not limit the quantity of their objects. Furthermore, the various elements and regions in the drawings are shown for schematic purposes only, and thus the present invention is not limited to the sizes or distances shown in the drawings.

[0062] To facilitate understanding of the embodiments of the present invention, specific embodiments will be further explained below with reference to the accompanying drawings. The embodiments do not limit the embodiments of the present invention.

[0063] Figure 1 The present invention is applied to the detection and control of smart beds. Figure 1 Provide a diagram, the detection method of the smart bed specifically includes:

[0064] S101. When it is detected that the smart bed is in heating mode, a detection module is awakened. The detection module includes a status detection submodule and a leakage detection submodule.

[0065] The present invention is applied to the detection of smart beds. In a smart bed with a heating function, a detection module is provided in the bed body or mattress. When the target object turns on the heating function of the smart bed, the detection module is simultaneously awakened. The detection module detects the degree to which leakage in specific functional components of the circuit of the smart bed affects the safe use of the smart bed, and the impact of the temperature conditions in the functional area where the components are located on the safe use of the smart bed, and determines the detection priority. After the priority is determined, safety detection is then initiated, and the safety detection results are analyzed to determine the current safety status of the smart bed, providing a safety reference for the target object, thereby achieving the technical effect of safety detection of the smart bed and reducing safety hazards.

[0066] The heating mode mentioned here can be understood as the heating function provided in the smart bed. The detection module mentioned here can be understood as the safety detection module of the smart bed, which can be, but is not limited to, detecting temperature and weight, as well as leakage and the safe life span of the smart bed. The status detection submodule mentioned here can be understood as the functional module for detecting the temperature of the components in the smart bed. The leakage detection submodule mentioned here can be understood as the functional module for detecting the leakage level of the components in the smart bed.

[0067] Furthermore, after the smart bed turns on the heating mode, the detection module set inside the smart bed is automatically started at the same time to prepare for the next step of detecting the smart bed.

[0068] S102: Determine the detection priority of the submodules in the detection module.

[0069] The detection priority mentioned here can be understood as the detection order of multiple functional modules in the detection module, which sets the priority detection authority according to the size of the safety impact on the smart bed.

[0070] Furthermore, after starting the detection module of the smart bed, the detection priority is set according to the degree of impact of multiple functional modules on the safety of the smart bed, thereby improving the working efficiency of the detection module.

[0071] S103: Utilize the detection module to perform status detection and / or leakage detection based on the detection priority to obtain a detection result.

[0072] The state detection mentioned here can be understood as the process of testing the operating temperature status of the smart bed's components. The leakage detection mentioned here can be understood as the presence or extent of leakage in the smart bed's components during operation, as well as the safety impact of this leakage on the smart bed. The test results here can be understood as the safety status of the smart bed, indicating the current safety indicators of the smart bed and providing a reference for safe use by users.

[0073] Furthermore, according to the set detection priority order, the smart bed is subjected to status detection and / or leakage detection, and the obtained detection results are used as detection data of the detection module to prepare for the next step of judging the safety status of the smart bed.

[0074] S104: Determine the safety test result of the smart bed based on the test result.

[0075] The safety test results mentioned here can be understood as the safety status of the smart bed in its current state obtained through safety testing.

[0076] Furthermore, after obtaining the test results, the current safe use status of the smart bed is determined according to the safety level of the test results, providing users with a safe use reference, thereby achieving the technical effect of improving the safety of smart bed use and reducing safety hazards.

[0077] The smart bed detection method provided by an embodiment of the present invention wakes up a detection module upon detecting that the smart bed is in heating mode. The detection module includes a state detection submodule and a leakage detection submodule; determines the detection priority of the submodules in the detection module; uses the detection module to perform state detection and / or leakage detection based on the detection priority to obtain a detection result; and determines the safety detection result of the smart bed based on the detection result. By timely determining the test result of the smart bed through the detection module when the smart bed is heating, the purpose of the smart bed safety detection is completed, thereby achieving the technical effect of improving the safety of the smart bed and reducing safety hazards.

[0078] Figure 2 A schematic flow chart of another smart bed detection method provided in an embodiment of the present invention. Figure 2 This is introduced based on the previous embodiment. Figure 2 The provided diagram, the detection method of the smart bed specifically further includes:

[0079] S201. When it is detected that the smart bed is in heating mode, a detection module is awakened. The detection module includes a status detection submodule and a leakage detection submodule.

[0080] The present invention is applied to the detection of smart beds. In a smart bed with a heating function, a detection module is provided in the bed body or mattress. When the target object turns on the heating function of the smart bed, the detection module is simultaneously awakened. The detection module detects the degree to which leakage in specific functional components of the circuit of the smart bed affects the safe use of the smart bed, and the impact of the temperature conditions in the functional area where the components are located on the safe use of the smart bed, and determines the detection priority. After the priority is determined, safety detection is then initiated, and the safety detection results are analyzed to determine the current safety status of the smart bed, providing a safety reference for the target object, thereby achieving the technical effect of safety detection of the smart bed and reducing safety hazards.

[0081] The heating mode mentioned here can be understood as the heating function provided in the smart bed. The detection module mentioned here can be understood as the safety detection module of the smart bed, which can be, but is not limited to, detecting temperature and weight, as well as leakage and the safe life span of the smart bed. The status detection submodule mentioned here can be understood as the functional module for detecting the temperature of the components in the smart bed. The leakage detection submodule mentioned here can be understood as the functional module for detecting the leakage level of the components in the smart bed.

[0082] Furthermore, after the smart bed turns on the heating mode, the detection module set inside the smart bed is automatically started at the same time to prepare for the next step of detecting the smart bed.

[0083] S202: Obtain device wear data of the status detection submodule and determine the degree of wear. The degree of device wear represents the degree of aging of the device.

[0084] The device wear data mentioned here can be understood as information about the wear and tear of the components in the smart bed's heating mode. For example, the percentage of a capacitor's storage capacity reduced to its pre-factory value after long-term use. The device wear degree mentioned here can be understood as the wear and tear of the components in the smart bed's heating mode, and the degree to which the components tend to age and fail after long-term use.

[0085] Furthermore, the status detection module locks various wear data that may occur in the device within the current detection working range and performs statistics to determine the maximum extent of device wear, which is used as a basis for determining the most serious state of device aging that the current device can reach, in preparation for determining the detection priority.

[0086] S203: Acquire leakage data of the leakage detection submodule and determine a leakage index, where the leakage index represents the range or magnitude of the leakage.

[0087] The leakage data mentioned here can be understood as information about potential leakage of components in the smart bed's heating mode, such as the potential leakage from capacitor and resistor leakage. The leakage indicators mentioned here can be understood as the degree of leakage of components in the smart bed's heating mode, whether short-term or long-term leakage occurs after long-term use, and the potential leakage range and magnitude of components within the detection area.

[0088] Furthermore, the leakage detection module locks the severity of the leakage of each device within the current detection working range, and judges the maximum extent to which the device leakage can affect the functional module, which is used as a basis for judging the leakage state that the current device can reach, in preparation for judging the detection priority.

[0089] S204: Compare the degree of component wear and the leakage index to determine the detection priorities of the status detection submodule and the leakage detection submodule.

[0090] Furthermore, the degree of component wear and leakage indicators within the functional modules of the smart bed obtained for evaluation are compared to analyze whether the impact of the safety hazard caused by the degree of component wear on the heating of the smart bed is greater than the impact of the safety hazard caused by the leakage of the component on the heating function of the smart bed, and the detection priority of the status detection submodule and the leakage detection submodule is given.

[0091] In a possible example scenario, by turning on the status detection submodule, the temperature of the pull-down resistor in the heating mode of the smart bed has the most serious impact on the safety of the smart bed, which will increase the loss of the AC-DC conversion module. At the same time, through leakage detection, the leakage of the parasitic capacitor inside the smart bed may cause the discharge of the smart bed. After comparing the safety impact, the detection priority of the leakage detection submodule is given higher than the detection priority of the status detection submodule. When the detection module turns on the detection of the pull-down resistor and the parasitic capacitor, the detection priority of the leakage detection submodule is set to be higher than the detection priority of the status detection submodule. When the leakage detection submodule turns on the leakage detection of the parasitic capacitor, the status detection submodule is stopped to turn on the status detection of the pull-down resistor.

[0092] S205 : Utilize the state detection submodule to perform state detection based on the detection priority to obtain a state detection result.

[0093] Furthermore, the specific steps for executing status detection are as follows:

[0094] Step 1: Obtain the device temperature value of the smart bed in heating mode through the status detection submodule;

[0095] Step 2: Compare the device temperature value with the set temperature threshold to obtain the device temperature status;

[0096] Step 3: Determine the status detection result according to the device temperature status.

[0097] In a possible example scenario, the wake-up state detection submodule is used to start detecting the device temperature values ​​of the working devices in the heating mode of the smart bed. The device temperature values ​​of all the devices detected in the working state are compared with the set device safe working temperature threshold to determine whether the device exceeds the temperature limit and is in a high-temperature working state, or is below the temperature threshold and is in a safe working state, thereby determining the status detection result of the device in the working mode.

[0098] S206 : Utilize the leakage detection submodule to perform leakage detection based on the detection priority to obtain a leakage detection result.

[0099] Furthermore, the specific steps for performing leakage detection are as follows:

[0100] Step 1: Obtain the device leakage current value of the smart bed in heating mode through the leakage detection submodule.

[0101] Step 2: Compare the device leakage current value with the set leakage current threshold to obtain the device leakage state.

[0102] Step 3: Determine the leakage detection result according to the leakage status of the device.

[0103] In a possible example scenario, by waking up the leakage detection submodule, the leakage current value of the working device in the smart bed heating mode is detected, and the leakage current values ​​of all the devices in the working state are compared with the set device safe working leakage threshold to determine whether the device exceeds the leakage safety upper limit and is in a serious leakage working state, or is below the leakage threshold and is in a safe working state, thereby determining the leakage detection result of the device in the working mode.

[0104] S207: Determine the safety test result of the smart bed based on the test result.

[0105] Furthermore, the current safety status of the smart bed is determined by the obtained status detection results and leakage detection results, providing a reference basis for the safety detection of the smart bed. The smart bed can be used according to the safety detection results, or by detecting the existence of safety risks in the smart bed, the user can be reminded to stop using it, thereby achieving the technical effect of improving the safety of the use of the smart bed and reducing safety hazards.

[0106] Another detection method for a smart bed provided by an embodiment of the present invention, by setting a status detection submodule and a leakage detection submodule, when the smart bed turns on the heating mode, the status detection submodule is awakened according to the detection priority, the temperature value of the device is detected, and the status detection result is obtained; or the leakage status of the device is detected by the leakage detection submodule to obtain a leakage detection result; the impact on the safety hazards of the smart bed is analyzed according to the obtained status detection module and leakage detection result, and the safety detection result is obtained, thereby achieving the technical effect of improving the safety of the use of the smart bed and reducing safety hazards.

[0107] Figure 3 A schematic flow chart of another smart bed detection method provided in an embodiment of the present invention. Figure 3 The first embodiment is introduced. Figure 3 The provided diagram, the detection method of the smart bed specifically further includes:

[0108] S301. When it is detected that the smart bed is in heating mode, the detection module is awakened. The detection module includes a state detection submodule and a leakage detection submodule.

[0109] The present invention is applied to the detection of smart beds. In a smart bed with a heating function, a detection module is provided in the bed body or mattress. When the target object turns on the heating function of the smart bed, the detection module is simultaneously awakened. The detection module detects the degree to which leakage in specific functional components of the circuit of the smart bed affects the safe use of the smart bed, and the impact of the temperature conditions in the functional area where the components are located on the safe use of the smart bed, and determines the detection priority. After the priority is determined, safety detection is then initiated, and the safety detection results are analyzed to determine the current safety status of the smart bed, providing a safety reference for the target object, thereby achieving the technical effect of safety detection of the smart bed and reducing safety hazards.

[0110] The heating mode mentioned here can be understood as the heating function provided in the smart bed. The detection module mentioned here can be understood as the safety detection module of the smart bed, which can be, but is not limited to, detecting temperature and weight, as well as leakage and the safe life span of the smart bed. The status detection submodule mentioned here can be understood as the functional module for detecting the temperature of the components in the smart bed. The leakage detection submodule mentioned here can be understood as the functional module for detecting the leakage level of the components in the smart bed.

[0111] Furthermore, after the smart bed turns on the heating mode, the detection module set inside the smart bed is automatically started at the same time to prepare for the next step of detecting the smart bed.

[0112] S302: Determine the detection priority of the submodules in the detection module.

[0113] The detection priority mentioned here can be understood as the detection order of multiple functional modules in the detection module, which sets the priority detection authority according to the size of the safety impact on the smart bed.

[0114] Furthermore, after starting the detection module of the smart bed, the detection priority is set according to the degree of impact of multiple functional modules on the safety of the smart bed, thereby improving the working efficiency of the detection module.

[0115] S303. Obtain the device temperature value of the smart bed in the heating mode through the status detection submodule.

[0116] S304: Compare the device temperature value with the set temperature threshold to obtain the device temperature state.

[0117] S305: Determine a status detection result according to the device temperature status.

[0118] In a possible example scenario, the wake-up state detection submodule is used to start detecting the device temperature values ​​of the working devices in the heating mode of the smart bed. The device temperature values ​​of all the devices detected in the working state are compared with the set device safe working temperature threshold to determine whether the device exceeds the temperature limit and is in a high-temperature working state, or is below the temperature threshold and is in a safe working state, thereby determining the status detection result of the device in the working mode.

[0119] S306. Obtain the device leakage current value of the smart bed in the heating mode through the leakage detection submodule.

[0120] S307 : Compare the device leakage current value with the set leakage current threshold to obtain the device leakage state.

[0121] S308: Determine a leakage detection result according to the leakage state of the device.

[0122] In a possible example scenario, by waking up the leakage detection submodule, the leakage current value of the working device in the smart bed heating mode is detected, and the leakage current values ​​of all the devices in the working state are compared with the set device safe working leakage threshold to determine whether the device exceeds the leakage safety upper limit and is in a serious leakage working state, or is below the leakage threshold and is in a safe working state, thereby determining the leakage detection result of the device in the working mode.

[0123] S309 : When the device temperature value is lower than the temperature threshold, determine that the device temperature state is a first normal state.

[0124] S310 : When the device temperature value is higher than the temperature threshold, determine that the device temperature state is a first abnormal state.

[0125] The first normal state mentioned here can be understood as the operating temperature of the device being in a safe operating state. The first abnormal state mentioned here can be understood as the operating temperature of the device being in an abnormally high temperature operating state.

[0126] Furthermore, the obtained device temperature is compared with a set temperature threshold. When the device temperature value is lower than the temperature threshold, the situation where the device temperature is in a safe working state is set as a first normal state, indicating that the device is in a normal working temperature range; when the device temperature value is higher than the temperature threshold, the situation where the device temperature is in a high-temperature working state is set as a first abnormal state, indicating that the device is in a high-temperature abnormal working temperature range.

[0127] In one possible example scenario, the current detected temperature of device A is 30°C, and the temperature threshold is 50°C, so device A is determined to be in a safe temperature operating state; at the same time, the temperature of device B is detected to reach 80°C, which seriously exceeds the temperature threshold, so device B is determined to be in a high temperature operating state.

[0128] S311 : When the temperature state of the device is a first normal state, determine that the state detection result is that the device is not aged.

[0129] S312: When the device temperature state is in a first abnormal state, determine that the state detection result is device aging.

[0130] The term "device not aged" here can be understood as meaning that the device has not reached a state of malfunction or failure. Device aging here can be understood as meaning that the device has reached a state of malfunction or failure. For example, a resistor's resistance is significantly lower than the standard value, or a capacitor's voltage significantly exceeds its breakdown voltage.

[0131] Furthermore, after detecting the temperature of the device through the status detection submodule, the device temperature state is obtained, and then the situation where the device is in the first normal state is set as the situation where the device is not aged; the situation where the device is in the first abnormal state is set as the situation where the device is aged, thereby obtaining the status detection result.

[0132] S313 : When the device leakage current value is lower than the leakage current threshold, determine that the device leakage current state is a second normal state.

[0133] S314 : When the device leakage current value is higher than the leakage current threshold, determine that the device leakage current state is a second abnormal state.

[0134] The second normal state mentioned here can be understood as the leakage current state of the device being in a safe leakage working state. The second abnormal state mentioned here can be understood as the leakage current state of the device being in a severe leakage working state.

[0135] Furthermore, the obtained leakage current value of the device is compared with the set leakage current threshold. When the leakage current value of the device is lower than the leakage current threshold, the leakage state of the device is set to a safe leakage state as the second normal state, indicating that the device is in a safe leakage range and does not affect the operation of the device; when the leakage current value of the device is higher than the leakage current threshold, the leakage state of the device is set to a severe leakage state as the second abnormal state, indicating that the device is in a severe leakage state and endangers the safe use range of the smart bed.

[0136] In a possible example scenario, the currently detected leakage current value of device A is 30mA, and the leakage current threshold is 50mA, so it is determined that device A is in a safe leakage working state; at the same time, it is detected that the temperature of device B reaches 80mA, which seriously exceeds the leakage current threshold, so it is determined that device B is in a serious leakage working state.

[0137] S315 : When the device leakage current state is the second normal state, determine that the leakage detection result is that the device has no leakage.

[0138] S316: When the device leakage current state is the second abnormal state, determine that the leakage detection result is device leakage.

[0139] The term "device leakage" here can be understood as meaning that the device has not reached a dangerous operating state. The term "device leakage" here can be understood as meaning that the device has reached a dangerous operating state. For example, the capacitor's leakage current is significantly lower than the standard value, or the capacitor voltage significantly exceeds the breakdown voltage.

[0140] Furthermore, after detecting the leakage current of the device through the leakage detection submodule, the specific leakage current state of the device is obtained, and then the situation where the device is in the second normal state is set as the situation where the device has no leakage; the situation where the device is in the second abnormal state is set as the situation where the device has leakage, thereby obtaining the leakage detection result.

[0141] S317: When the status detection result shows that the device is not aged and the leakage detection result shows that the device has no leakage, determine that the safety detection result is a safe state.

[0142] S318: When the status detection result is that the device is aging and the leakage detection result is that the device is leaking, determine that the safety detection result is a dangerous state.

[0143] S319: When the status detection result is that the device is aging or the leakage detection result is that the device is leaking, determine that the safety detection result is a dangerous state.

[0144] The safe state mentioned here can be understood as the state in which the smart bed can continue to work. The dangerous state mentioned here can be understood as the state in which the smart bed cannot continue to work safely due to high device temperature or serious device leakage, which may pose a safety hazard.

[0145] Furthermore, after obtaining the status detection results and leakage detection results, the situation where the device is not aged and has no leakage is detected as a safe state, indicating that the smart bed is in a safe working state; the situation where the device is aged or leaking is detected as a dangerous state, indicating that the smart bed has a safety hazard state; the situation where the device is aged and leaking is detected as a dangerous state, indicating that the smart bed has a safety hazard state.

[0146] S320: Generate a power-off instruction according to the dangerous state.

[0147] S321. Control the smart bed to execute power-off processing based on the power-off instruction.

[0148] The power-off instruction mentioned here is understood as a system power-off reminder.

[0149] Furthermore, when the smart bed is detected to be in a dangerous state, it is determined that there is a safety hazard in the smart bed. A system power-off instruction is generated and sent to the main control chip of the smart bed. The main control chip is powered off to achieve the purpose of safety processing.

[0150] Another detection method for a smart bed provided by an embodiment of the present invention is to set a status detection submodule and a leakage detection submodule. After the smart bed turns on the heating mode, the detection order of the submodules is determined according to the detection priority; by detecting the device temperature and the device leakage current value, and comparing them with the temperature threshold and the leakage current threshold respectively, it is determined whether the device is in a normal working state or an abnormal working state, and according to the working state, it is determined whether the smart bed is in a safe state or a dangerous state, and the purpose of safety processing is achieved through power-off processing, thereby realizing the technical effect of improving the safety of smart bed use and reducing safety hazards.

[0151] Figure 4 This is a schematic diagram of the structure of a detection device for a smart bed provided by an embodiment of the present invention. Figure 4 According to the diagram provided, the detection device of the smart bed specifically includes:

[0152] The wake-up function module 41 is used to wake up the detection module in the smart bed when it detects that the smart bed is in heating mode. The detection module includes a status detection submodule and a leakage detection submodule;

[0153] A priority determination module 42, configured to determine the detection priority of the submodules in the detection module;

[0154] A detection module 43 is configured to perform status detection and / or leakage detection using the detection module based on the detection priority to obtain a detection result;

[0155] The result determination module 44 is used to determine the safety detection result of the smart bed based on the detection result.

[0156] The detection device of the smart bed provided in this embodiment can be as follows Figure 4 The detection device of the smart bed shown in FIG can perform the following Figure 1-3 All steps of the detection method of the intelligent bed are realized Figure 1-3 For details on the technical effects of the detection method for the smart bed shown, please refer to Figure 1-3 For the sake of brevity, the relevant description will not be repeated here.

[0157] Figure 5 This is a structural diagram of a smart bed provided by an embodiment of the present invention. Figure 5 The smart bed 500 shown includes: at least one processor 501, memory 502, at least one network interface 504 and other user interfaces 503. The various components in the smart bed 500 are coupled together via a bus system 505. It is understood that the bus system 505 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 505 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, the bus system 505 is not described in detail. Figure 5Various buses are labeled as bus system 505.

[0158] The user interface 503 may include a display, a keyboard, or a pointing device (eg, a mouse, a trackball, a touchpad, or a touch screen).

[0159] It is understood that the memory 502 in the embodiment of the present invention can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus random access memory (DRRAM). The memory 502 described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0160] In some embodiments, the memory 502 stores the following elements, executable units, or data structures, or a subset thereof, or an extended set thereof: an operating system 5021 and application programs 5022 .

[0161] The operating system 5021 includes various system programs, such as a framework layer, a core library layer, and a driver layer, for implementing various basic services and handling hardware-based tasks. Application programs 5022 include various application programs, such as a media player and a browser, for implementing various application services. Programs implementing the methods of the embodiments of the present invention may be included in application programs 5022.

[0162] In an embodiment of the present invention, by calling a program or instruction stored in the memory 502, specifically, a program or instruction stored in the application 5022, the processor 501 is configured to execute the method steps provided in each method embodiment, for example, including:

[0163] When it is detected that the smart bed is in heating mode, the detection module is awakened, and the detection module includes a status detection sub-module and a leakage detection sub-module; the detection priority of the sub-modules in the detection module is determined; based on the detection priority, the detection module is used to perform status detection and / or leakage detection to obtain the detection result; and the safety detection result of the smart bed is determined based on the detection result.

[0164] The methods disclosed in the above embodiments of the present invention can be applied to or implemented by processor 501. Processor 501 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in processor 501 or by software instructions. The above processor 501 may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The methods, steps, and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in conjunction with the embodiments of the present invention can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software units in the decoding processor. The software units can be located in storage media well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in the memory 502 , and the processor 501 reads the information in the memory 502 and completes the steps of the above method in combination with its hardware.

[0165] It is understood that the embodiments described herein may be implemented using hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit may be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described herein, or a combination thereof.

[0166] For software implementation, the technology described herein can be implemented by a unit that performs the functions described herein. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.

[0167] The smart bed provided in this embodiment can be Figure 5 The smart bed shown in FIG can perform the following operations: Figure 1-3 All steps of the detection method of the intelligent bed are realized Figure 1-3 For details on the technical effects of the detection method for the smart bed shown, please refer to Figure 1-3 For the sake of brevity, the relevant description will not be repeated here.

[0168] An embodiment of the present invention further provides a storage medium (computer-readable storage medium). The storage medium stores one or more programs. The storage medium may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk, or solid-state drive; and the memory may also include a combination of the aforementioned types of memory.

[0169] When one or more programs in the storage medium can be executed by one or more processors, the above-mentioned smart bed detection method executed on the detection device side of the smart bed can be implemented.

[0170] The processor is used to execute the smart bed detection program stored in the memory to implement the following steps of the smart bed detection method performed on the smart bed detection device side:

[0171] When it is detected that the smart bed is in heating mode, the detection module is awakened, and the detection module includes a status detection sub-module and a leakage detection sub-module; the detection priority of the sub-modules in the detection module is determined; based on the detection priority, the detection module is used to perform status detection and / or leakage detection to obtain the detection result; and the safety detection result of the smart bed is determined based on the detection result.

[0172] Professionals should also be further aware that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0173] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0174] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for detecting a smart bed, characterized in that: include: When it is detected that the smart bed is in heating mode, the detection module is awakened, and the detection module includes a state detection submodule and a leakage detection submodule; Determining the detection priority of the submodules in the detection module includes: obtaining device wear data of the status detection submodule to determine the degree of wear, wherein the degree of wear represents the degree of aging of the device, and the device wear data is loss information of the device in the heating mode of the smart bed; obtaining leakage data of the leakage detection submodule to determine a leakage index, wherein the leakage index represents the range or magnitude of the leakage, and the leakage data is leakage information of the device in the heating mode of the smart bed; comparing the degree of wear with the leakage index to determine the detection priority of the status detection submodule and the leakage detection submodule; Performing status detection and / or leakage detection using the detection module based on the detection priority to obtain a detection result; A safety detection result of the smart bed is determined based on the detection result.

2. The method according to claim 1, characterized in that The performing of status detection and / or leakage detection by the detection module based on the detection priority to obtain a detection result includes: Perform the following steps for the detection priority: Utilizing the state detection submodule to perform state detection and obtain a state detection result; and / or, The leakage detection submodule is used to perform leakage detection based on the detection priority to obtain a leakage detection result.

3. The method according to claim 2, characterized in that The utilizing the state detection submodule to perform state detection and obtain a state detection result includes: Acquiring the device temperature value of the smart bed in the heating mode through the state detection submodule; Comparing the device temperature value with a set temperature threshold to obtain a device temperature state; A state detection result is determined according to the temperature state of the device.

4. The method according to claim 3, characterized in that The comparing the device temperature value with a set temperature threshold to determine the device temperature state includes: When the device temperature value is lower than the temperature threshold, determining that the device temperature state is a first normal state; When the device temperature value is higher than the temperature threshold, the device temperature state is determined to be a first abnormal state.

5. The method according to claim 4, characterized in that Determining a state detection result according to the device temperature state includes: When the temperature state of the device is a first normal state, determining that the state detection result is that the device is not aged; When the device temperature state is a first abnormal state, the state detection result is determined to be device aging.

6. The method according to claim 2, characterized in that The performing leakage detection by using the leakage detection submodule based on the detection priority to obtain a leakage detection result includes: Obtaining a device leakage current value of the smart bed in heating mode through the leakage detection submodule; Comparing the device leakage current value with a set leakage current threshold to obtain a device leakage state; A leakage detection result is determined according to the leakage state of the device.

7. The method according to claim 6, characterized in that The comparing the device leakage current value with a set leakage current threshold to determine the device leakage state includes: When the device leakage current value is lower than the leakage current threshold, determining that the device leakage current state is a second normal state; When the device leakage current value is higher than the leakage current threshold, the device leakage current state is determined to be a second abnormal state.

8. The method according to claim 7, characterized in that Determining the leakage detection result according to the leakage state of the device includes: When the device leakage current state is the second normal state, determining that the leakage detection result is that the device has no leakage; When the device leakage current state is a second abnormal state, the leakage detection result is determined to be device leakage.

9. The method according to claim 5 or 8, characterized in that Determining the safety detection result of the smart bed based on the detection result includes: When the status detection result shows that the device is not aged and the leakage detection result shows that the device has no leakage, determining that the safety detection result is a safe state; When the status detection result is that the device is aging and the leakage detection result is that the device is leaking, determining that the safety detection result is a dangerous state; When the status detection result is that the device is aging or the leakage detection result is that the device is leaking, it is determined that the safety detection result is a dangerous state.

10. The method according to claim 9, characterized in that The method further comprises: generating a power-off instruction according to the dangerous state; The smart bed is controlled to perform a power-off process based on the power-off instruction.

11. A detection device for a smart bed, characterized in that: include: A wake-up function module is used to wake up the detection module in the smart bed when it detects that the smart bed is in heating mode. The detection module includes a status detection submodule and a leakage detection submodule; a priority determination module, configured to determine the detection priority of the submodules in the detection module, comprising: obtaining device wear data from the status detection submodule to determine the degree of wear, wherein the degree of wear represents the degree of aging of the device, and the device wear data is loss information of the device in the heating mode of the smart bed; obtaining leakage data from the leakage detection submodule to determine a leakage index, wherein the leakage index represents the range or magnitude of leakage, and the leakage data is leakage information of the device in the heating mode of the smart bed; and comparing the degree of wear with the leakage index to determine the detection priority of the status detection submodule and the leakage detection submodule; a detection module, configured to perform status detection and / or leakage detection using the detection module based on the detection priority to obtain a detection result; A result determination module is used to determine the safety detection result of the smart bed based on the detection result.

12. A smart bed, characterized in that: include: A processor and a memory, wherein the processor is used to execute a smart bed detection program stored in the memory to implement the smart bed detection method according to any one of claims 1 to 10.

13. A storage medium, characterized in that: The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the detection method of the smart bed according to any one of claims 1 to 10.

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