CN113110291A - Self-checking method and system for electric bed - Google Patents
Self-checking method and system for electric bed Download PDFInfo
- Publication number
- CN113110291A CN113110291A CN202110337582.2A CN202110337582A CN113110291A CN 113110291 A CN113110291 A CN 113110291A CN 202110337582 A CN202110337582 A CN 202110337582A CN 113110291 A CN113110291 A CN 113110291A
- Authority
- CN
- China
- Prior art keywords
- self
- electric bed
- data
- power
- checking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
-
- 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
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a self-checking method of an electric bed, which comprises the following steps: establishing communication connection with intelligent equipment close to the electric bed; establishing a communication connection with a server remotely located with respect to the electric bed; responding to a received self-checking instruction to perform self-checking on at least one component to be detected so as to generate self-checking data; obtaining, from the smart device, geographic location data associated with the smart device; transmitting the 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. The invention can collect the accessory state information and self running data through the main controller unit, uniformly collect the information and report the information to the service background through the APP, the background system counts the data content, analyzes the running states of the control box and the module and synchronously feeds the data back to the after-sale system. The application also discloses a corresponding self-checking system.
Description
Technical Field
The present invention relates to a fault detection method for an electric bed, and more particularly, to a fault self-detection method for an electric bed.
Background
The existing electric bed control system has no perfect self-checking feedback system, the test and inspection are all carried out before leaving the factory, the equipment problem after leaving the factory cannot accurately position the fault point, the fault point can be known only by a maintenance worker going to the door, and then the after-sale worker is fed back to obtain an after-sale scheme, so that the problem can be solved only by the maintenance worker who needs to go back and forth. In this case, after-sales personnel cannot provide an after-sales plan with a certain purpose because they do not have enough on-site failure point data as a support, and can only roughly infer the position of a possible failure point according to the user's material such as description in the phone or provided photos, and correspondingly reserve a plurality of materials for the possible failure point, so that maintenance personnel can carry the materials to the user.
On the other hand, the problem points can only be analyzed for the equipment with problems, and the possible problems of the equipment cannot be evaluated in advance;
disclosure of Invention
The present application aims to solve the above technical problems, and provides a self-checking system and method for an electric bed with good user experience.
In order to achieve the above object, some embodiments of the present application provide a self-checking method of an electric bed, which includes the steps of: establishing communication connection with intelligent equipment close to the electric bed; establishing a communication connection with a server remotely located with respect to the electric bed; responding to a received self-checking instruction to perform self-checking on at least one component to be detected so as to generate self-checking data; obtaining, from the smart device, geographic location data associated with the smart device; transmitting the 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.
In some embodiments, the performing self-tests on the at least one component to be tested includes adjusting an electric drive unit of the at least one component to be tested to a first power in response to receiving the self-test command; collecting at least one operating parameter of the electric drive unit of the component to be inspected for a first period of time of operation at the first power to form first self-test data as part of the self-test data; adjusting the electric drive unit of the component to be detected to a second power different from the first power; and collecting the operating parameters of the electric drive unit of the component of the electric bed for a second period of time operating at the second power to form second self-test data as another part of the self-test data.
In some embodiments, the method further comprises the step of transmitting the first self-test data, the second self-test data, and the geographic location data in combination to at least one of a 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 of the beddo under test are reset prior to performing the step of acquiring the first acquisition data.
In some embodiments, the external device includes a server control program, an intelligent device APP, a remote controller, and a debugging interface, which are communicatively connected to the electric bed.
In some embodiments, the self-test instruction is transmitted from one or more of a server control program, a smart device APP, or a remote control via a communication link.
Another embodiment of the present application provides a self-checking method of an electric bed, including the steps of: establishing communication connection with intelligent equipment close to the electric bed; establishing a communication connection with a server remotely located with respect to the electric bed; responding to a received self-checking instruction to perform self-checking on at least one component to be detected so as to generate self-checking data; matching the self-checking data with pre-stored data to form a first matching result indicating that the self-checking data is in the threshold range of the pre-stored data or a second matching result not in the threshold range; obtaining, from the smart device, geographic location data associated with 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 performing self-tests on the at least one component to be tested includes adjusting an electric drive unit of the at least one component to be tested to a first power in response to receiving the self-test command; collecting at least one operating parameter of the electric drive unit of the component to be inspected for a first period of time of operation at the first power to form first self-test data as part of the self-test data; adjusting the electric drive unit of the component to be detected to a second power different from the first power; collecting the operating parameters of the electric drive unit of the component of the beddo for a second period of time operating at the second power to form second self-test data as another part of the self-test data.
In some embodiments, matching the first and second self-test data with pre-stored data of the electric drive unit of the component to form a first match result for the first and second self-test data within a threshold range of the pre-stored data, or a second match result for the second and first self-test data 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 of the beddo under test are reset prior to performing the step of acquiring the first acquisition data.
In some embodiments, the external device includes a server control program, an intelligent device APP, a remote controller, and a debugging interface, which are communicatively connected to the electric bed.
In some embodiments, the self-test instruction is transmitted from one or more of a server control program, a smart device APP, or a remote control via a communication link.
Further embodiments of the present application also provide a self-testing system for an electric bed, which includes a central processing unit and a memory, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed, the self-testing system for an electric bed is used for implementing any one of the above self-testing methods for an electric bed.
The invention can collect the accessory state information and self running data through the main controller unit, uniformly collect the information and report the information to the service background through the APP, the background system counts the data content, analyzes the running state of the control box and the module, and synchronously feeds the data back to the after-sale system, and the maintenance personnel or the client is informed to carry out corresponding maintenance or simple inspection work.
In addition, the invention can realize self-inspection when leaving factory, and the user can detect whether the equipment has abnormal state in the whole using process; after-sale personnel can accurately position problem equipment, and the prepared materials can be replaced on the door in a targeted manner, so that after-sale pressure is reduced; and analyzing the use state of each device in the use process, and adjusting parameters to ensure that the accessories are in the optimal operation state.
In addition, the main controller unit can acquire the number and the type of the existing accessories and report the number and the type of the existing accessories 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 structural diagram of an electric bed fault self-checking system according to an embodiment of the present application;
fig. 3 is a schematic flow chart illustrating a fault self-checking method for an electric bed according to an embodiment of the present application;
fig. 4 is a schematic flow chart of a fault self-checking method for an electric bed according to another embodiment of the present application;
fig. 5 is a flowchart illustrating a beddo self-test procedure 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 noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The term "server" in this context refers to an intelligent electronic device that can perform predetermined processes such as numerical calculation and/or logic calculation by executing predetermined programs or instructions, and may include a processor and a memory, wherein the predetermined processes are performed by the processor executing program instructions prestored in the memory, or the predetermined processes are performed by hardware such as ASIC, FPGA, DSP, or a combination thereof.
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 consisting of a plurality of network servers, or a Cloud Computing (Cloud Computing) based Cloud consisting of a large number of computers or network servers, wherein Cloud Computing is one of distributed Computing, a super virtual computer consisting of a collection of loosely coupled computers. The computer equipment can be independently operated to realize the application, and can also be accessed into a network to realize the application through the interactive operation with other computer equipment in the network. The network in which 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 equipment, the network device, the network, etc. are only examples, and other existing or future computer devices or networks may also be included in the scope of the present application, if applicable, and are included by reference.
The methodologies discussed hereinafter, some of which are illustrated by flow diagrams, 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 provided for purposes of describing example embodiments of the present application. This application may, however, 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. For example, a first element may be termed a second element, and, similarly, a second element may be termed a first element, without departing from the scope of example embodiments. As used herein, the term "and/or" 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 motorized bed of the present application may include a controlled motion bed frame section that may include a head rest, a waist rest, and leg rests, each of which may be actuated by a motor or the like to move, such as to raise from a flat position to a resting position. Each motor is controlled by a motor drive circuit, for example, the head bracket is actuated by a first motor driven by a first motor drive circuit, the waist bracket is actuated by a second motor driven by a second motor drive circuit, and the leg bracket is actuated by a third motor driven by a third motor drive circuit. 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-mentioned motor and motor driving part, as shown in fig. 2, the electric bed may further include a device or accessory 200 without MCU (micro control unit), such as a general light strip, a first driving motor, a second driving motor, a third driving motor, a massage unit, a USD controller, etc., and a device 300 with MCU, such as a sleep detection device, a tunable light strip, a heating blanket, a sound wave massager, an aromatherapy machine, etc.
Referring to fig. 1, the main controller unit 100 may include a controller chip 101, a bluetooth module 102 coupled to the 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 MCU-less (micro control unit) device 200 via an I/O bus interface 1041 and to the MCU-equipped device 300 via a communication bus 1042 interface.
The main controller unit 100 is configured to perform scanning detection on all the I/O interfaces 1041 according to an external instruction, for example, an instruction from a control application, or a preset periodic instruction, or according to event trigger to collect detection data, such as a power supply current, a power supply voltage, an output voltage, for the MCU-less device, for determining whether the corresponding I/O interface is connected to the corresponding I/O device, or the like. The main controller unit 100 is further configured to initiate acquisition of detection data of parameters of the MCU capable device, such as supply current, supply voltage, output voltage, and feature data of the MCU capable device, through the communication interface 1042 according to an external instruction, such as an instruction from a control application, or a periodic instruction preset by itself, or according to an event trigger.
Specifically, the I/O interface 1041 detects whether the accessory is inserted by generally implementing the input state determination of the main controller unit through the I/O interface. The communication interface 1042 detects that the accessory is connected and obtains the characteristic parameters by performing data communication between the main controller unit and the accessory, including but not limited to serial port, IIC, SPI and other communication modes.
The detection data for the device or the 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 and the like;
for the heating blanket: operating time, temperature, voltage, current, etc.;
aiming at the aromatherapy machine: working time, fragrance amount, mist output amount, voltage, current and the like;
aiming at the adjustable lamp strip: working time, voltage, current, on-off state, output PWM, human body sensor state, etc.;
aiming at the acoustic massager: working time, voltage, current, music input state, output PWM, etc.;
for USB: working time, voltage, current, fast charge protocol, etc.;
aiming at the motor: working time, voltage, current, output PWM, etc.;
aiming at the common lamp strip: operating time, voltage, current, switch state, etc.;
aiming at the massager: on time, voltage, current, output PWM, etc.
As shown in fig. 2, the main controller unit 100 is configured to be operatively connected with the device commissioning function 401 disposed in 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 can acquire electrical parameters of the MCU-equipped device 300 and the MCU-less device 200 connected with the main controller unit 100 through the main controller unit.
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 the local equipment. Wherein the main controller unit 100 is configured to operatively connect with the local device through a wireless communication interface, such as a built-in bluetooth module 102, or a wired communication interface, and an I/O interface. The local device may be a smart device 501, e.g. a smartphone, a tablet, etc., configured to deploy a fault detection application P500, as shown in fig. 3, configured to include the following steps: establishing connection with a main controller unit and instructing the main controller unit 100 to deploy a self-test program to start, step S501; receiving the detection data of the MCU equipment and the detection data of the MCU-free equipment, which are obtained by scanning of the main controller unit, from the main controller unit, and performing step S502; analyzing an abnormal code according to the received detection data, and step S503; and optionally may display the exception code on a display unit of the local device, step S504, or optionally may provide to a remote server 600 communicatively connected to the local device, step S505; the local device may also be a remote controller 502, which is configured to, for example, be triggered by a button of the remote controller, start and execute a fault detection program built in a memory of the remote controller to receive the detection data of the MCU device and the detection data of the MCU-less device from the main controller unit, analyze the detection data to obtain an abnormal code, and display the abnormal code on a display unit, such as a display screen or an indicator light module, of the remote controller.
In an embodiment such as depicted in fig. 3, the daemon P600 of the aforementioned remote server 600 may be in communication connection with the failure 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 on this, step S601.
As shown in fig. 4, the daemon P600 of the aforementioned remote server 600 may not only be communicatively connected with the fault detection application P500 of the smart device 501, but also be configured to be communicatively connected with the main controller unit 100 through a wired or wireless communication protocol to directly receive the detection data of the MCU device and the detection data of the MCU-less device, as shown in fig. 4, the daemon P600 of the remote server receives the detection data of the MCU device and the detection data of the MCU-less device, which are obtained by scanning by the main controller unit, from the main controller unit, and step S602; analyzing an abnormal code according to the received detection data, and step S603; and optionally may transmit the exception code to the local device for display on a display unit of the local device, step S604,
in addition, a database can be deployed in the remote server or in communication connection with the database server, and the database is used for storing the detection data of the devices with the MCU and the detection data of the devices without the MCU and analyzing the detection data to obtain the running states of the corresponding devices. Because the remote server generally has a larger storage space and a stronger computing capability than the local device, for example, the cloud server may be used to analyze and store the detection data of the MCU device and the detection data of the MCU-less device, and may maintain the detection data provided by the master controller units of the plurality of electric beds, thereby establishing a fault detection database for the plurality of master controller units.
In addition, the daemon P600 of the remote server may be further configured to generate adjustment data of device operation parameters according to an analysis result of the detection after analyzing the detection data of the MCU-equipped device and the detection data of the MCU-free device, and send the adjustment data of the operation parameters to the main controller unit, and 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 adjustment data of the device operating parameters to a fault detection application of the local device, which forwards the operating parameter adjustment data to the main controller unit.
The remote server can provide the analysis result of the detection data to an after-sale system, so that after-sale personnel can accurately provide matched after-sale 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 therein, where the self-checking program traverses functions of a device connected to the main controller unit, and after running, may obtain key parameters of the device during operation, and after collecting statistics, determine whether data is within a normal parameter range, and then determine whether the device is abnormal. The normal parameter range can be determined by the result of the normal equipment tested in advance, and is preset in the memory to be used as a basic comparison index.
Fig. 3 and 4 illustrate an exemplary electric bed fault self-checking method, which includes establishing a communication connection with a smart device, i.e., a local device, adjacent to the electric bed; establishing a communication connection with a server remotely located with respect to the electric bed; responding to a received self-checking instruction to perform self-checking on at least one to-be-detected component to generate self-checking data, and step S101; and transmitting the self-test data to at least one of a hardware debugging interface, the server or the intelligent device, step S102.
May further include obtaining, from the smart device, geographic location data associated with the smart device; transmitting the 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.
As shown in fig. 5, the performing self-testing on the at least one to-be-tested component includes adjusting an electric drive unit of a first motor driving a head bracket to full power in response to receiving the self-testing command, step S111; acquiring at least one operating parameter of the electric drive unit of the first electric motor, such as an operating voltage, a current and/or a ripple value thereof, of the electric motor during a period of 5 seconds of operation of the electric drive unit at full power to form first self-test data as part of the self-test data, step S112;
adjusting the electric drive unit driving the first drive motor of the head carriage to run at a power different from, for example, half the full power, step S113; collecting the operating parameters of a first drive motor for a period of 5 seconds of operation of the first drive motor at the half power to form second self-test data as another portion of the self-test data; step S114; thereafter, the first self-test data, the second self-test data, are communicated to at least one of a hardware debug interface, the server, or the smart device. Or transmitting the first self-test data, the second self-test data and the geographic position data to at least one of a hardware debugging interface, the server or the intelligent device in a combined manner.
Although the above-described embodiments set the operation detection time at full power and half power to 5 seconds, it should be understood that both may be other time periods, such as the same time period, or different time periods. Further, although the first test set forth in the embodiments employs full power, i.e., 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 settings such as 90%, 80%, 70%, 60% etc. of the maximum power, and although 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 also settings such as 60%, 50%, 40%, 30%, 20%, 10% etc. of the power of the first test may be used.
As shown in fig. 5, it may be selected to reset all the components to be tested of the electric bed before the step of collecting the first self-test data is performed, step S101A.
The external device comprises a server control program, an intelligent device APP, a remote controller, a debugging interface and the like, wherein the server control program is in communication connection with the electric bed.
The self-test instruction is from one or more of a server control program, an intelligent device APP or a remote controller through a communication link.
In the self-test procedure described above, the tests on the various devices and/or accessories may be performed sequentially or simultaneously. The detection of the first drive motor and the third drive motor can be started simultaneously to obtain data related to the working time, voltage, current, output PWM and the like of the first drive motor and the third drive motor; then sequentially subjecting the lamp strip to a self-test procedure to obtain data associated with its operating time, voltage, current, switch state, etc.; and then sequentially carrying out self-checking programs of all accessories and acquiring data feedback. For example, sleep detection devices may be targeted to detect to obtain data associated with on-time, voltage, current, vital sign data, heart rate, respiration, body movement, HRV, and the like; detecting for the heater blanket to obtain data associated with operating time, temperature, voltage, current, etc.; detecting the aromatherapy machine to obtain data related to the working time, the aromatherapy dose, the fog output, the voltage, the current and the like of the aromatherapy machine; detecting the adjustable lamp strip to obtain data related to the working time, voltage, current, switch state, output PWM, human body inductor state and the like of the adjustable lamp strip; detecting the acoustic massager to obtain data related to working time, voltage, current, music input state, output PWM and the like of the acoustic massager; detecting the USB module to obtain data related to the working time, voltage, current, fast charging protocol and the like of the USB module; the massager is tested for data associated with its operating time, voltage, current, output PWM, etc.
In the embodiment shown in fig. 5, the self-test program may be further configured to, after obtaining the data, compare the value corresponding to each parameter in the data with a threshold value or a threshold value range corresponding to each parameter of the previously stored electric bed when each device or accessory is in normal operation, to determine whether a certain device or accessory is in a normal operation state in the self-test period, and when it is determined that the detected value of the parameter of the certain device or accessory is equal to the threshold value or within the threshold value range, mark the parameter of the certain device as normal; when the detected parameter value of a certain device or accessory is judged not to be equal to the threshold value or not within the threshold value range, the parameter of the device is marked as abnormal, step S101A, and the judgment result is fed back to the local device, such as an intelligent device or a remote controller, a debugging interface device, and the like, step S102.
In some embodiments, when the smart device sends a self-test instruction to the main controller unit of the electric bed, the smart device may send geographical location data of the smart device to the main controller unit at the same time, and the main controller unit sends the determination result and the geographical location data to a remote server after combining the determination result. The main controller unit can be also configured to send the self identity mark data and the judgment result to the remote server after being combined.
In addition, the main controller unit can acquire the number and the type of the existing accessories and report the number and the type of the existing accessories to the APP, and the APP is automatically adapted to the control interface.
The present embodiment is described as a non-limiting example only, and a person skilled in the art can conceive reasonable modifications to achieve the same effect on the basis of the present embodiment. For example, the 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 function options and their corresponding firmware update applications of the electric bed are only examples for the purpose of explaining the present application, and should not be construed as any limitation to the present application, and other existing or future function options and their corresponding live broadcast applications, as applicable to the present application, should be included in the scope of patent protection of the present application.
It should be noted that the processing portions of the present application may be implemented in software and/or a combination of software and hardware, for example, using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs (including associated data structures) of the present application may be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the 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.
In addition, some 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 through the operation of the computer. Program instructions which invoke the methods of the present application may be stored on a fixed or removable recording medium and/or transmitted via a data stream on a broadcast or other signal-bearing medium and/or stored within a working memory of a computer device operating in accordance with 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 perform a method and/or a solution according to the aforementioned embodiments of the present application.
Claims (19)
1. A self-checking method of an electric bed is characterized by comprising the following steps:
establishing communication connection with intelligent equipment close to the electric bed;
establishing a communication connection with a server remotely located with respect to the electric bed;
responding to a received self-checking instruction to perform self-checking on at least one component to be detected so as to generate self-checking data;
obtaining, from the smart device, geographic location data associated with the smart device;
transmitting the 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.
2. The self-inspection method of an electric bed according to claim 1, characterized in that:
the performing self-test on the at least one component to be tested comprises adjusting an electric drive unit of the at least one component to be tested to a first power in response to receiving the self-test command;
collecting at least one operating parameter of the electric drive unit of the component to be inspected for a first period of time of operation at the first power to form first self-test data as part of the self-test data;
adjusting the electric drive unit of the component to be detected to a second power different from the first power;
collecting the operating parameters of the electric drive unit of the component of the beddo for a second period of time operating at the second power to form second self-test data as another part of the self-test data.
3. The self-inspection method of an electric bed according to claim 1, characterized in that: including communicating the first self-test data, the second self-test data, and the geographic location data in combination to at least one of a hardware debug interface, the server, or the smart device.
4. The self-inspection method of an electric bed according to claim 1, characterized in that: the duration of the first time period is equal to the duration of the second time period.
5. The self-inspection method of an electric bed according to claim 1, characterized in that: wherein the first power is a maximum power of the electric drive unit.
6. The self-inspection method of an electric bed according to claim 1, characterized in that: wherein the second power is 50% of the first power.
7. The self-inspection method of an electric bed according to claim 1, characterized in that: resetting all parts to be tested of the electric bed before performing the step of acquiring the first acquisition data.
8. The self-inspection method of an electric bed according to claim 1, characterized in that: the external device comprises a server control program, an intelligent device APP, a remote controller and a debugging interface, wherein the server control program is in communication connection with the electric bed.
9. The self-inspection method of an electric bed according to claim 1, characterized in that: the self-test instruction is transmitted from one or more of a server control program, an intelligent device APP or a remote controller through a communication link.
10. A self-checking method of an electric bed is characterized by comprising the following steps:
establishing communication connection with intelligent equipment close to the electric bed;
establishing a communication connection with a server remotely located with respect to the electric bed;
responding to a received self-checking instruction to perform self-checking on at least one component to be detected so as to generate self-checking data;
matching the self-checking data with pre-stored data to form a first matching result indicating that the self-checking data is in the threshold range of the pre-stored data or a second matching result not in the threshold range;
obtaining, from the smart device, geographic location data associated with 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.
11. The self-inspection method of an electric bed according to claim 10, characterized in that:
the performing self-test on the at least one component to be tested comprises adjusting an electric drive unit of the at least one component to be tested to a first power in response to receiving the self-test command;
collecting at least one operating parameter of the electric drive unit of the component to be inspected for a first period of time of operation at the first power to form first self-test data as part of the self-test data;
adjusting the electric drive unit of the component to be detected to a second power different from the first power;
collecting the operating parameters of the electric drive unit of the component of the beddo for a second period of time operating at the second power to form second self-test data as another part of the self-test data.
12. The self-inspection method of an electric bed according to claim 10, characterized in that: including matching the first and second self-test data with pre-stored data of the electric drive unit of the component to form a first match of the first and second self-test data within a threshold range of the pre-stored data, or a second match 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.
13. The self-inspection method 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.
14. The self-inspection method of an electric bed according to claim 10, characterized in that: wherein the first power is a maximum power of the electric drive unit.
15. The self-inspection method of an electric bed according to claim 10, characterized in that: wherein the second power is 50% of the first power.
16. The self-inspection method of an electric bed according to claim 10, characterized in that: resetting all parts to be tested of the electric bed before performing the step of acquiring the first acquisition data.
17. The self-inspection method of an electric bed according to claim 10, characterized in that: the external device comprises a server control program, an intelligent device APP, a remote controller and a debugging interface, wherein the server control program is in communication connection with the electric bed.
18. The self-inspection method of an electric bed according to claim 10, characterized in that: the self-test instruction is transmitted from one or more of a server control program, an intelligent device APP or a remote controller through a communication link.
19. A self-test system for an electric bed, comprising a central processing unit and a memory, said memory having stored therein computer readable instructions for carrying out the self-test method for an electric bed according to any one of the preceding claims 1 to 18 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110337582.2A CN113110291B (en) | 2021-03-29 | 2021-03-29 | Self-checking method and system of electric bed |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110337582.2A CN113110291B (en) | 2021-03-29 | 2021-03-29 | Self-checking method and system of electric bed |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113110291A true CN113110291A (en) | 2021-07-13 |
| CN113110291B CN113110291B (en) | 2023-05-09 |
Family
ID=76713085
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110337582.2A Active CN113110291B (en) | 2021-03-29 | 2021-03-29 | Self-checking method and system of electric bed |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113110291B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114050973A (en) * | 2021-10-28 | 2022-02-15 | 浙江恒强科技股份有限公司 | Method for realizing flat knitting machine component binding and intelligent management through network |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104038274A (en) * | 2014-06-03 | 2014-09-10 | 博创科技股份有限公司 | Optical fiber detection and maintenance management system |
| CN105303636A (en) * | 2015-10-28 | 2016-02-03 | 深圳市慧友安电子技术有限公司 | Wireless routing-inspection system and routing-inspection management method |
| CN106389030A (en) * | 2016-09-23 | 2017-02-15 | 南京康尼智能技术有限公司 | An internet intelligent electrically powered wheelchair control system |
| US20190171540A1 (en) * | 2016-08-25 | 2019-06-06 | Ke Xu | Apparatus fault detecting system and fault detection device |
| CN109960209A (en) * | 2019-03-22 | 2019-07-02 | 杨松 | A kind of beddo intelligent operation method and device based on torque limit |
| CN110784017A (en) * | 2019-10-31 | 2020-02-11 | 国网山东省电力公司东营供电公司 | Intelligent detection device and method for distribution transformer based on real-time data acquisition |
| CN112025766A (en) * | 2020-08-11 | 2020-12-04 | 上海有个机器人有限公司 | Robot system health checking and self-checking method and device and electronic equipment |
-
2021
- 2021-03-29 CN CN202110337582.2A patent/CN113110291B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104038274A (en) * | 2014-06-03 | 2014-09-10 | 博创科技股份有限公司 | Optical fiber detection and maintenance management system |
| CN105303636A (en) * | 2015-10-28 | 2016-02-03 | 深圳市慧友安电子技术有限公司 | Wireless routing-inspection system and routing-inspection management method |
| US20190171540A1 (en) * | 2016-08-25 | 2019-06-06 | Ke Xu | Apparatus fault detecting system and fault detection device |
| CN106389030A (en) * | 2016-09-23 | 2017-02-15 | 南京康尼智能技术有限公司 | An internet intelligent electrically powered wheelchair control system |
| CN109960209A (en) * | 2019-03-22 | 2019-07-02 | 杨松 | A kind of beddo intelligent operation method and device based on torque limit |
| CN110784017A (en) * | 2019-10-31 | 2020-02-11 | 国网山东省电力公司东营供电公司 | Intelligent detection device and method for distribution transformer based on real-time data acquisition |
| CN112025766A (en) * | 2020-08-11 | 2020-12-04 | 上海有个机器人有限公司 | Robot system health checking and self-checking method and device and electronic equipment |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114050973A (en) * | 2021-10-28 | 2022-02-15 | 浙江恒强科技股份有限公司 | Method for realizing flat knitting machine component binding and intelligent management through network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113110291B (en) | 2023-05-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6561980B2 (en) | Monitoring device, monitoring system, monitoring method and program | |
| US10311710B1 (en) | Method for using a drone to test monitoring system sensors | |
| CN203810634U (en) | Indoor comfort state acquiring device, air conditioner and mobile terminal | |
| KR101742408B1 (en) | Health monitoring system and data collection method thereof | |
| CN104122999A (en) | Intelligent device interaction method and system | |
| CN113110291A (en) | Self-checking method and system for electric bed | |
| WO2015129566A1 (en) | Management apparatus, operation-control apparatus, electrical-device management system, management method, operation-control method, and program | |
| JP2017117423A (en) | Watching system and watching method | |
| US20230106748A1 (en) | Aerosol atomization device, test device, control method therefor, and control apparatus thereof | |
| US20150066171A1 (en) | Observation and/or operation of a sport and/or rehabilitation device | |
| CN110594944A (en) | Control method and device capable of monitoring equipment operation parameters and air conditioner | |
| CN102436558A (en) | Electronic health state public health information integration system and method | |
| WO2013181120A1 (en) | Autonomous systems for remote control of handheld devices | |
| KR20160031315A (en) | System For Wellness Platform Using Internet Of Things And Wearable Device | |
| CN109036563B (en) | Control analysis system and method based on mattress | |
| CN112508536B (en) | Monitoring system of power system monitoring room | |
| WO2016139845A1 (en) | Sensor management apparatus, sensor, monitoring system, sensor management method, sensor management program, monitoring method, and monitoring program | |
| CN114564219A (en) | Method and equipment for inspecting and maintaining massage chair and storage medium | |
| CN106456136A (en) | Light measurement system and optical brain function measurement method | |
| CN117236931B (en) | Equipment management method and computer equipment | |
| RU128361U1 (en) | MANAGEMENT SYSTEM OF THE AUTOMATED COMPLEX OF ENGINEERING AND TECHNICAL SUPPORT | |
| CN217112893U (en) | Display device control apparatus and display system | |
| CN106153981B (en) | IEPE type intelligent acceleration sensor and working method thereof | |
| KR20200102299A (en) | Trouble self-diagnosing system for fitness equipment | |
| KR101256947B1 (en) | Ubiquitous sensor networks system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |