CN113110291B - Self-checking method and system of electric bed - Google Patents
Self-checking method and system of electric bed Download PDFInfo
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- CN113110291B CN113110291B CN202110337582.2A CN202110337582A CN113110291B CN 113110291 B CN113110291 B CN 113110291B CN 202110337582 A CN202110337582 A CN 202110337582A CN 113110291 B CN113110291 B CN 113110291B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/401—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by control arrangements for measuring, e.g. calibration and initialisation, measuring workpiece for machining purposes
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/34—Director, elements to supervisory
- G05B2219/34242—For measurement only
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a self-checking method of an electric bed, which comprises the following steps: establishing communication connection with an intelligent device adjacent to the electric bed; establishing communication connection with a server remotely arranged relative to the electric bed; responding to the received self-checking instruction to perform self-checking on at least one part to be detected to generate self-checking data; obtaining geographic location data associated with the smart device from the smart device; and transmitting the self-checking data and the geographic position data to at least one of a hardware debugging interface, the server or the intelligent device in a combined mode. The invention can collect accessory state information and self operation data through the main controller unit, unify and collect the data and report the data to the service background through the APP, the background system counts the data content, analyzes the operation states of the control box and the module, and synchronously feeds back the data to the after-sales system. The application also discloses a corresponding self-checking system.
Description
Technical Field
The present application relates to a fault detection method for an electric bed, and in particular, to a fault self-detection method for an electric bed.
Background
The existing electric bed control system is not provided with a perfect self-checking feedback system, test and inspection are all carried out before delivery, equipment problems after delivery cannot accurately position fault points, maintenance personnel are required to go on the door to know the fault points, after-sales personnel are fed back to obtain an after-sales scheme, and the maintenance personnel need to go back and forth for a time to solve the problems. In this case, since the after-sales personnel does not have enough on-site fault points as a support, the after-sales plan cannot be provided specifically, and the possible positions of the fault points can be estimated only approximately according to the user's material such as a description in a telephone or a provided photo, and the possible fault points are correspondingly reserved for a plurality of materials, so that the maintenance personnel can carry the materials to the user.
On the other hand, the problem points can only be analyzed on the equipment with problems, and the possible problems of the equipment cannot be estimated in advance;
disclosure of Invention
The purpose of the application is to solve the technical problems and provide an electric bed self-checking system and method with good user experience.
To achieve the above object, some embodiments of the present application provide a self-inspection method of an electric bed, including the steps of: establishing communication connection with an intelligent device adjacent to the electric bed; establishing communication connection with a server remotely arranged relative to the electric bed; responding to the received self-checking instruction to perform self-checking on at least one part to be detected to generate self-checking data; obtaining geographic location data associated with the smart device from the smart device; and transmitting the self-checking data and the geographic position data to at least one of a hardware debugging interface, the server or the intelligent device in a combined mode.
In some embodiments, the self-inspecting the at least one component to be inspected includes adjusting an electrical drive unit of the at least one component to be inspected to a first power in response to the received self-inspection instruction; acquiring at least one operating parameter of the electric drive unit of the component to be inspected in a first period of time at the first power to form first self-inspection data as part of the self-inspection data; adjusting the electric drive unit of the component to be detected to a second power different from the first power; and acquiring the operating parameters of the electric drive unit of the component of the electric bed in a second period of time at the second power to form second self-test data as another portion of the self-test data.
In some embodiments, the step of transmitting the first self-test data, second self-test data, in combination with the geographic location data, to at least one of a hardware debug interface, the server, or the smart device is included.
In some embodiments, the duration of the first time period is equal to the duration of the second time period.
In some embodiments, wherein the first power is a maximum power of the electric drive unit.
In some embodiments, wherein the second power is 50% of the first power.
In some embodiments, all of the components under test of the electric bed are reset prior to performing the step of acquiring the first acquired data.
In some embodiments, the external device comprises a server control program, a smart device APP, a remote control, a debug interface communicatively connected to the electric bed.
In some embodiments, the self-test instructions are transmitted from one or more of a server control program, a smart device APP, or a remote control over a communication link.
Further embodiments of the present application provide a self-test method of an electric bed, characterized by comprising the steps of: establishing communication connection with an intelligent device adjacent to the electric bed; establishing communication connection with a server remotely arranged relative to the electric bed; responding to the received self-checking instruction to perform self-checking on at least one part to be detected to generate self-checking data; matching the self-checking data with pre-stored data to form a first matching result representing that the self-checking data is within a threshold range of the pre-stored data or a second matching result not within the threshold range; obtaining geographic location data associated with the smart device from the smart device; and transmitting the first matching result or the second matching result in combination with the geographic location data to at least one of a hardware debug interface, the server, or the smart device.
In some embodiments, the self-inspecting the at least one component to be inspected includes adjusting an electrical drive unit of the at least one component to be inspected to a first power in response to the received self-inspection instruction; acquiring at least one operating parameter of the electric drive unit of the component to be inspected in a first period of time at the first power to form first self-inspection data as part of the self-inspection data; adjusting the electric drive unit of the component to be detected to a second power different from the first power; the method further includes collecting the operating parameters of the electric drive unit of the component of the electric bed in a second period of time at the second power to form second self-test data as another portion of the self-test data.
In some embodiments, matching the first self-test data and the second self-test data with pre-stored data of the electric drive unit of the component to form a first matching result of the first self-test data and the second self-test data within a threshold range of the pre-stored data, or a second matching result not within the threshold range; providing the first matching result or the second matching result to at least one of the hardware debug interface, the server or the smart device.
In some embodiments, the duration of the first time period is equal to the duration of the second time period.
In some embodiments, wherein the first power is a maximum power of the electric drive unit.
In some embodiments, wherein the second power is 50% of the first power.
In some embodiments, all of the components under test of the electric bed are reset prior to performing the step of acquiring the first acquired data.
In some embodiments, the external device comprises a server control program, a smart device APP, a remote control, a debug interface communicatively connected to the electric bed.
In some embodiments, the self-test instructions are transmitted from one or more of a server control program, a smart device APP, or a remote control over a communication link.
Still further embodiments of the present application provide a self-test system for an electric bed, comprising a central processor and a memory having stored therein computer readable instructions which when executed are adapted to carry out the self-test method for an electric bed of any one of the above.
The invention can collect accessory state information and self operation data through the main controller unit, unify and collect statistics data content of a background system reported to a service background through the APP, analyze operation states of a control box and a module, synchronously feed back the statistics data content to an after-sales system, and inform maintenance personnel or clients of carrying out corresponding maintenance or simple check work.
In addition, the invention realizes the factory self-check, and the user can detect whether the equipment has abnormal state or not in the whole using process; after-sales personnel can accurately position the problem equipment, and the material preparation and the door replacement can be performed in a targeted manner, so that after-sales pressure is reduced; and analyzing the use state of each device in the use process, and carrying out parameter adjustment to ensure that the accessory is in an optimal operation state.
In addition, the main controller unit can acquire the number and the types of the existing accessories and report the number and the types to the APP, and the APP is automatically adapted to the control interface.
Drawings
FIG. 1 is a schematic diagram of a main controller unit according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a failure self-checking system of an electric bed according to an embodiment of the present application;
FIG. 3 is a flow chart of a method for self-checking an electric bed fault according to an embodiment of the present application;
FIG. 4 is a flow chart of a method for self-checking an electric bed fault according to another embodiment of the present application;
fig. 5 is a flow chart of a self-checking procedure of the electric bed according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.
Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
In this context, the term "server" refers to an intelligent electronic device that can execute a predetermined process such as numerical computation and/or logic computation by executing a predetermined program or instruction, and may include a processor and a memory, where the processor executes program instructions pre-stored in the memory to execute the predetermined process, or the ASIC, FPGA, DSP hardware executes the predetermined process, or a combination of the two.
Wherein the user equipment includes, but is not limited to, smart phones, PDAs, PCs, notebook computers, etc.; the network device includes, but is not limited to, a single network server, a server group of multiple network servers, or a Cloud based Cloud Computing (Cloud Computing) consisting of a large number of computers or network servers, where Cloud Computing is one of distributed Computing, and is a super virtual computer consisting of a group of loosely coupled computer sets. The computer device can be independently operated to realize the application, and can also be accessed to a network and realize the application through interaction with other computer devices in the network. Wherein the network where the computer device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a VPN network, and the like.
It should be noted that the user device, the network, etc. are only examples, and other computer devices or networks that may be present in the present application or in the future are applicable to the present application, and are also included in the scope of the present application and are incorporated herein by reference.
The methods discussed later herein (some of which are illustrated by flowcharts) may be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in software, firmware, middleware or microcode, the program code or code segments to perform the necessary tasks may be stored in a machine or computer readable medium such as a storage medium. The processor(s) may perform the necessary tasks.
Specific structural and functional details disclosed herein are merely representative and are for purposes of describing example embodiments of the present application. This application may be embodied in many alternate forms and should not be construed as limited to only the embodiments set forth herein.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be noted that, in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may in fact be executed substantially concurrently or the figures may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
The electric bed in the present application may comprise a bed frame portion of controlled movement, which may comprise a head rest, a waist rest, and a leg rest, each of which may be actuated by a drive member such as a motor, for example, to lift from a flat position to a support position. Each motor is controlled by a motor drive circuit, such as a first motor driven by a first motor drive circuit for the head carriage, a second motor driven by a second motor drive circuit for the waist carriage, and a third motor driven by a third motor drive circuit for the leg carriage. The first motor driving circuit, the second motor driving circuit, and the third motor driving circuit may be configured to be connected with the main controller unit 100 of the electric bed and to receive control signals from the main controller unit, respectively.
In addition to the above-described motor and motor driving parts, as shown in fig. 2, the electric bed may further include a device or accessory 200 without an MCU (micro control unit), such as a general light belt, a first driving motor, a second driving motor, a third driving motor, a massage unit, and a USD controller, etc., and a device 300 with an MCU, such as a sleep detection device, an adjustable light belt, a heating blanket, an acoustic wave massager, a fragrance machine, etc.
Referring to fig. 1, a main controller unit 100 may include a controller chip 101, a bluetooth module 102 coupled with the main controller chip, a memory 103, and a bus interface 104, wherein the bus interface 104 includes an I/O bus interface 1041 and a communication bus interface 1042. The main controller unit 100 may be operatively connected to the above-described MCU (micro control unit) -less device 200 through an I/O bus interface 1041 and to the above-described MCU-having device 300 through a communication bus 1042 interface.
The main controller unit 100 is configured to perform scan detection on all the I/O interfaces 1041 according to an external instruction, for example, an instruction from a control application, or a regular instruction preset by itself, or according to an event trigger start, so as to collect detection data for the MCU-free device, such as a supply current, a supply voltage, an output voltage, etc., for judging whether the corresponding I/O interface is connected with the corresponding I/O device, etc. The main controller unit 100 is further configured to initiate acquisition of detection data of parameters of the MCU device through the communication interface 1042, such as supply current, supply voltage, output voltage, and characteristic data of the MCU device, according to external instructions, such as instructions from a control application, or periodic instructions preset by itself, or according to event triggers.
Specifically, the I/O interface 1041 detects that it is normally realized that the main controller unit judges whether or not the accessory is inserted through the I/O interface input state. The communication interface 1042 detects that the accessory is connected by performing data communication between the main controller unit and the accessory, including but not limited to serial port, IIC, SPI, etc., and obtains the characteristic parameters.
The detection data for the device or accessory connected to the bus interface may include:
for a sleep detection device: working time, voltage, current, physical sign data, heart rate, respiration, body movement, HRV, etc.;
for a heating blanket: operating time, temperature, voltage, current, etc.;
aiming at the aromatherapy machine: working time, fragrance dosage, mist output, voltage, current and the like;
for an adjustable light strip: working time, voltage, current, switch state, output PWM, human body sensor state, etc.;
for an acoustic wave massager: working time, voltage, current, music input state, output PWM, etc.;
for USB: operating time, voltage, current, fast charge protocol, etc.;
aiming at a motor: operating time, voltage, current, output PWM, etc.;
aiming at a common lamp strip: operating time, voltage, current, switching state, etc.;
for a massager: operating time, voltage, current, output PWM, etc.
As shown in fig. 2, the main controller unit 100 is configured to be operatively connected to the device commissioning function 401 deployed by the device commissioning unit 400 through a wireless communication interface, such as a built-in bluetooth module 101, or a wired communication interface, and an I/O interface 1041, so that the device commissioning unit may obtain, through the main controller unit, electrical parameters of the MCU-with-device 300 and the MCU-without-device 200 connected to the main controller unit 100.
As shown in fig. 3, the electric bed fault self-diagnosis system in the embodiment of the present application may include a self-diagnosis function implemented by a local device. Wherein the main controller unit 100 is configured to be operatively connected with the local device via a wireless communication interface or a wired communication interface, such as a built-in bluetooth module 102, and an I/O interface. The local device may be a smart device 501, such as a smart phone, tablet, etc., configured to deploy a fault detection application P500, as shown in fig. 3, configured to include the steps of: establishing a connection with a main controller unit and indicating the start of a self-checking program deployed by the main controller unit 100, step S501; receiving detection data of the MCU-free device and detection data of the MCU-free device obtained by scanning of the main controller unit from the main controller unit, and step S502; analyzing an abnormal code according to the received detection data, and step S503; and optionally the anomaly code may be displayed on a display unit of the local device, step S504, or alternatively provided to a remote server 600 communicatively connected to the local device, step S505; the local device may also be a remote controller 502 configured to start executing a fault detection program built in a memory of the remote controller, for example, by a button trigger of the remote controller, to receive detection data of the all MCU device and detection data of the no MCU device from the main controller unit, parse these detection data to obtain an abnormal code, and display the abnormal code on a display unit of the remote controller, for example, a display screen or an indicator light module.
In an embodiment such as depicted in fig. 3, the aforementioned background program P600 of the remote server 600 may be communicatively connected to the fault detection application (i.e. APP) P500 of the smart device 501 for receiving the report of the working condition and notifying the after-sales system based thereon, step S601.
As shown in fig. 4, the foregoing background program P600 of the remote server 600 may not only be communicatively connected to the fault detection application P500 of the intelligent device 501, but also be configured to be communicatively connected to the main controller unit 100 through a wired or wireless communication protocol to directly receive the detection data of the MCU-present device and the detection data of the MCU-free device, as shown in fig. 4, the background program P600 of the remote server receives the detection data of the MCU-present device and the detection data of the MCU-free device obtained by the scanning of the main controller unit from the main controller unit, step S602; analyzing an abnormal code according to the received detection data, and step S603; and optionally may transmit the anomaly code to the local device for display at the display unit of the local device, step S604,
in addition, a database can be deployed at the remote server or in communication connection with the database server, and the database is used for storing the detection data of the MCU equipment and the detection data of the MCU-free equipment and analyzing to obtain the operation state of the corresponding equipment. Because the remote server generally has a larger storage space and a stronger computing power than the local device, for example, the cloud server may be used to implement parsing and storing of the detection data of the MCU device and the detection data of the MCU-free device, which may maintain the detection data provided by the master controller units of the multiple electric beds, so as to build a fault detection database for the multiple master controller units.
In addition, the background program P600 of the remote server may be further configured to generate, after analyzing the detection data of the MCU-equipped device and the detection data of the MCU-free device, adjustment data of the device operation parameters according to the analysis result of the detection, and send the adjustment data of the operation parameters to the main controller unit, where the main controller unit reconfigures each device according to the data after receiving the adjustment data of the operation parameters. The remote server may be further configured to issue the device operational parameter adjustment data to a fault detection application of the local device, which forwards the operational parameter adjustment data to the master controller unit.
The remote server can provide the analysis result of the detection data to the after-sales system, so that after-sales personnel can accurately provide matched after-sales and spare parts according to the detection analysis result.
The main controller unit 100 may be configured to store a self-checking program in a memory thereof, where the self-checking program traverses a function of a device connected to the main controller unit, and after operation, may obtain key parameters of the device during operation, and after collecting statistics and summarizing, determine whether the data is within a normal parameter range, so as to confirm whether the device has an abnormality. The normal parameter range can be determined by the result of the pre-tested normal equipment and is preset in the memory to serve as a basic comparison index.
FIGS. 3 and 4 illustrate an exemplary method of fault self-checking of an electric bed that includes establishing a communication connection with a smart device, i.e., a local device, in proximity to the electric bed; establishing communication connection with a server remotely arranged relative to the electric bed; responding to the received self-checking instruction to perform self-checking on at least one part to be detected to generate self-checking data, and step S101; and transmitting the self-test data to at least one of a hardware debug interface, the server or the smart device, step S102.
Obtaining geographic location data associated with the smart device from the smart device; and transmitting the self-checking data and the geographic position data to at least one of a hardware debugging interface, the server or the intelligent device in a combined mode.
As shown in fig. 5, the self-checking at least one component to be checked includes adjusting an electric driving unit of a first motor driving a head bracket to full power in response to the received self-checking instruction, step S111; collecting at least one operating parameter of the electric drive unit of the first electric machine, such as the operating voltage, current and/or ripple value of the electric machine, for a period of time of 5 seconds at full power, to form first self-test data as part of the self-test data, step S112;
adjusting the electric drive unit of the first drive motor driving the head carriage to operate at a different half of the e.g. full power, step S113; acquiring said operating parameters of said first drive motor during a period of time during which said first drive motor is operated at said half power for 5 seconds to form second self-test data as another portion of said self-test data; step S114; thereafter, the first self-test data, second self-test data are transferred to at least one of a hardware debug interface, the server, or the smart device. Or transmitting the first self-checking data, the second self-checking data and the geographic position data to at least one of a hardware debugging interface, the server or the intelligent device.
While the full power and half power run detection times are each set to 5 seconds in the above embodiment, it should be understood that the two may be of other durations, such as the same duration, or different durations. Further, although the first test set in the embodiment employs full power, that is, the maximum power of the electric drive unit, it should be understood that the power of the first test is not limited thereto. It is also possible to use, for example, 90%, 80%, 70%, 60% of the maximum power, while the second test uses half the power, i.e. half the maximum power of the electric drive unit, it is to be understood that the power of the second test is not limited thereto, but it is also possible to use, for example, 60%,50%,40%, 30%, 20%, 10% of the power of the first test, etc. of the ratio.
As shown in fig. 5, all components under test of the electric bed may optionally be reset prior to performing the step of acquiring the first self-test data, step S101A.
The external device comprises a server control program, an intelligent device APP, a remote controller, a debugging interface and the like which are in communication connection with the electric bed.
The self-checking instructions are from one or more of a server control program, a smart device APP, or a remote control via a communication link.
In the self-test procedure described above, the detection of the devices and/or accessories may be performed sequentially or simultaneously. The detection of the first driving motor and the third driving motor can be started simultaneously to obtain data related to the working time, the voltage, the current, the output PWM and the like of the first driving motor and the third driving motor; then sequentially performing self-checking procedures on the lamp strip to obtain data related to working time, voltage, current, switching state and the like of the lamp strip; and then sequentially performing self-checking programs of all accessories and acquiring data feedback. For example, the sleep detection device may be tested for data associated with working time, voltage, current, vital sign data, heart rate, respiration, body movement, HRV, etc.; detecting for the heating blanket to obtain data associated with operating time, temperature, voltage, current, etc.; detecting the aromatherapy machine to obtain data related to working time, aromatherapy dosage, mist output, voltage, current and the like of the aromatherapy machine; detecting the adjustable lamp strip to obtain data related to working time, voltage, current, switching state, output PWM, human body sensor state and the like of the adjustable lamp strip; detecting the acoustic wave massage device to obtain data related to working time, voltage, current, music input state, output PWM (pulse width modulation) and the like of the acoustic wave massage device; detecting the USB module to obtain data related to working time, voltage, current, fast charging protocol and the like of the USB module; the massager is detected to obtain data related to the working time, voltage, current, output PWM and the like of the massager.
In the embodiment shown in fig. 5, the self-checking program may then be configured to, after obtaining the above data, compare the value corresponding to each parameter in the data with the threshold value or threshold range corresponding to each parameter of each device or accessory of the electric bed stored heretofore when operating normally, to determine whether a certain device or accessory is in a normal operating state in the self-checking period, and mark the parameter of a certain device or accessory as normal when it is determined that the value of the detected parameter of the certain device or accessory is equal to or within the threshold value range; when it is determined that the detected value of the parameter of a certain device or accessory is not equal to the threshold value or is not within the threshold value range, the parameter of the device is marked as abnormal, step S101A, and the determination result is fed back to the local device, such as the smart device or the remote controller, the debug interface device, and so on, step S102.
In some embodiments, when the intelligent device sends a self-checking instruction to the main controller unit of the electric bed, the intelligent device may send geographical position data of the intelligent device to the main controller unit at the same time, and after obtaining the determination result, the main controller unit combines the determination result with the geographical position data and sends the combined result to a remote server. The main controller unit may be further configured to combine its own identification data with the determination result and send the combined identification data to the remote server.
In addition, the main controller unit can acquire the number and the types of the existing accessories and report the number and the types to the APP, and the APP is automatically adapted to the control interface.
The present embodiment is described by way of non-limiting example only, and a person skilled in the art will be able to envisage reasonable variants on the basis of the present embodiment to achieve the same effect. For example, the present bluetooth-based wireless communication system may also be based on WIFI, ZIGBEE, or LORA technologies.
It should be understood by those skilled in the art that the above-mentioned firmware update applications of each function option and its corresponding electric bed are only examples for the purpose of explaining the present application, and should not be construed as limiting the present application, and other existing or future function options and their corresponding live applications as applicable are included in the scope of the patent protection of the present application.
It should be noted that the processing portion of the present application may be implemented in software and/or a combination of software and hardware, for example, using an Application Specific Integrated Circuit (ASIC), a general purpose computer, or any other similar hardware device. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions as described above. Likewise, the software programs of the present application (including associated data structures) may be stored on a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. In addition, some steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
Furthermore, portions of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application by way of operation of the computer. Program instructions for invoking the methods of the present application may be stored in fixed or removable recording media and/or transmitted via a data stream in a broadcast or other signal bearing medium and/or stored within a working memory of a computer device operating according to the program instructions. An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to operate a method and/or a solution according to the embodiments of the present application as described above.
Claims (17)
1. The self-checking method of the electric bed is characterized by comprising the following steps:
establishing communication connection with an intelligent device adjacent to the electric bed;
establishing communication connection with a server remotely arranged relative to the electric bed;
responding to the received self-checking instruction to perform self-checking on at least one part to be detected to generate self-checking data;
obtaining geographic location data associated with the smart device from the smart device;
transmitting the self-checking data and the geographic position data as well as the identity mark data of the electric bed to the server;
the server generates equipment operation parameter adjusting data according to the analysis result of the detection data of the MCU equipment and the detection data of the MCU-free equipment, and transmits the operation parameter adjusting data to the electric bed, and the electric bed reconfigures the electric bed according to the data after receiving the operation parameter adjusting data;
wherein the smart device is configured to deploy a fault detection application;
establishing connection with a main controller unit and indicating the start of a self-checking program deployed by the main controller unit;
receiving detection data with MCU equipment and detection data without MCU equipment, which are obtained by scanning of the main controller unit, from the main controller unit;
analyzing an abnormal code according to the received detection data;
displaying the abnormal code on a display unit of the intelligent equipment or the server;
the background program of the server is in communication connection with the fault detection application of the intelligent equipment and is used for receiving the report of the working condition and notifying an after-sales system according to the report.
2. The method for self-checking an electric bed according to claim 1, characterized in that:
the self-checking of the at least one component to be detected comprises adjusting an electric drive unit of the at least one component to be detected to a first power in response to the received self-checking instruction;
acquiring at least one operating parameter of the electric drive unit of the component to be inspected in a first period of time at the first power to form first self-inspection data as part of the self-inspection data;
adjusting the electric drive unit of the component to be detected to a second power different from the first power;
the method further includes collecting the operating parameters of the electric drive unit of the component of the electric bed in a second period of time at the second power to form second self-test data as another portion of the self-test data.
3. The method for self-checking an electric bed according to claim 2, characterized in that: including transmitting the first self-test data, second self-test data, in combination with the geographic location data, to at least one of a hardware debug interface, the server, or the smart device.
4. The method for self-checking an electric bed according to claim 2, characterized in that: the duration of the first time period is equal to the duration of the second time period.
5. The method for self-checking an electric bed according to claim 2, characterized in that: wherein the first power is the maximum power of the electric drive unit.
6. The method for self-checking an electric bed according to claim 2, characterized in that: wherein the second power is 50% of the first power.
7. The method for self-checking an electric bed according to claim 2, characterized in that: resetting all parts under test of the electric bed before performing the step of collecting the first self-test data as part of the self-test data by operating at least one operating parameter of the electric drive unit in a first period of time at the first power.
8. The method for self-checking an electric bed according to claim 1, characterized in that: the self-checking instructions are transmitted from one or more of a server control program, a smart device APP, or a remote control via a communication link.
9. The self-checking method of the electric bed is characterized by comprising the following steps:
establishing communication connection with an intelligent device adjacent to the electric bed;
establishing communication connection with a server remotely arranged relative to the electric bed;
responding to the received self-checking instruction to perform self-checking on at least one part to be detected to generate self-checking data;
matching the self-checking data with pre-stored data to form a first matching result which indicates that the self-checking data is within a pre-stored data threshold range or a second matching result which is not within the threshold range;
obtaining geographic location data associated with the smart device from the smart device; and transmitting the first matching result or the second matching result to the server in combination with the geographical position data and the identity data of the electric bed itself;
the server generates equipment operation parameter adjusting data according to the analysis result of the detection data of the MCU equipment and the detection data of the MCU-free equipment, and transmits the operation parameter adjusting data to the electric bed, and the electric bed reconfigures the electric bed according to the data after receiving the operation parameter adjusting data;
wherein the smart device is configured to deploy a fault detection application;
establishing connection with a main controller unit and indicating the start of a self-checking program deployed by the main controller unit;
receiving detection data with MCU equipment and detection data without MCU equipment, which are obtained by scanning of the main controller unit, from the main controller unit;
analyzing an abnormal code according to the received detection data;
displaying the abnormal code on a display unit of the intelligent equipment or the server; the background program of the server is in communication connection with the fault detection application of the intelligent equipment and is used for receiving the report of the working condition and notifying an after-sales system according to the report.
10. The method for self-test of an electric bed according to claim 9, characterized in that:
the self-checking of the at least one component to be detected comprises adjusting an electric drive unit of the at least one component to be detected to a first power in response to the received self-checking instruction;
acquiring at least one operating parameter of the electric drive unit of the component to be inspected in a first period of time at the first power to form first self-inspection data as part of the self-inspection data;
adjusting the electric drive unit of the component to be detected to a second power different from the first power;
the method further includes collecting the operating parameters of the electric drive unit of the component of the electric bed in a second period of time at the second power to form second self-test data as another portion of the self-test data.
11. The method for self-test of an electric bed according to claim 10, characterized in that: matching the first self-checking data and the second self-checking data with pre-stored data of the electric driving unit of the component to form a first matching result of the first self-checking data and the second self-checking data within a threshold range of the pre-stored data or a second matching result not within the threshold range;
providing the first matching result or the second matching result to at least one of a hardware debugging interface, the server or the intelligent device.
12. The method for self-test of an electric bed according to claim 10, characterized in that: the duration of the first time period is equal to the duration of the second time period.
13. The method for self-test of an electric bed according to claim 10, characterized in that: wherein the first power is the maximum power of the electric drive unit.
14. The method for self-test of an electric bed according to claim 10, characterized in that: wherein the second power is 50% of the first power.
15. The method for self-test of an electric bed according to claim 10, characterized in that: resetting all parts under test of the electric bed before performing the step of collecting the first self-test data as part of the self-test data by operating at least one operating parameter of the electric drive unit in a first period of time at the first power.
16. The method for self-test of an electric bed according to claim 9, characterized in that: the self-checking instructions are transmitted from one or more of a server control program, a smart device APP, or a remote control via a communication link.
17. A self-test system for an electric bed comprising a central processor and a memory having stored therein computer readable instructions for implementing the self-test method for an electric bed according to any of the preceding claims 1 to 16 when said computer readable instructions are executed.
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