Device control method, system, sensing device, medium and product
By employing a multi-sensor module collaborative working mode in implantable sensing devices and switching working modes according to reliability levels, the problem of short lifespan of sensing devices in vivo has been solved, enabling more accurate monitoring of physiological parameters for longer periods.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-03-10
- Publication Date
- 2026-07-14
AI Technical Summary
Existing implantable sensing devices have a limited effective working life in the body, making it difficult to meet long-term monitoring needs. This is mainly due to the performance degradation of the sensing module in the body environment, especially signal attenuation and decreased sensitivity caused by bioaccumulation.
The system employs a collaborative working mode with at least two sensing modules. The reliability level is determined by monitoring the operating parameters of the modules, and the working mode is switched between different modes. The system utilizes the main and backup sensors to collect physiological parameters, achieves data fusion and calibration, and extends the life of the equipment.
It extends the effective working time of the sensing device in the patient's body, improves the accuracy and continuity of physiological parameter monitoring, reduces monitoring interruptions caused by single-point failures, and meets the needs of long-term monitoring.
Smart Images
Figure CN122386752A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of equipment control technology, and in particular to an equipment control method, system, sensing device, medium and product. Background Technology
[0002] With the development of biomedical sensing technology, monitoring physiological indicators in patients using implantable sensing devices has become an important means of chronic disease management and health monitoring. However, such devices face serious challenges in practical applications. The performance of the sensing modules inevitably degrades over time, resulting in a short effective working time within the patient's body. Although related technologies strive to slow down this process by improving sensor materials or structures, it is still difficult to meet the long-term monitoring needs of patients. Summary of the Invention
[0003] In view of this, one of the objectives of this application is to provide a device control method, system, sensing device, medium and product that can extend the working time of the sensing device on the user.
[0004] To achieve the above objectives, the technical solution of this application is implemented as follows: In a first aspect, embodiments of this application provide a device control method applied to a sensing device, the sensing device being installed on a target user and including at least two sensing modules, the method comprising: In response to a start command, the first sensing module is controlled to operate in a first working mode; the first sensing module is determined based on at least two sensing modules. Based on the operating parameters of the first sensing module, determine the reliability level of the first sensing module; In response to the reliability level meeting preset conditions, the first and second sensing modules are controlled to operate in a second working mode; the second sensing module is determined based on the other sensing modules among at least two sensing modules excluding the first sensing module; wherein... In the first working mode, the physiological parameters of the target user are collected using the first sensing module; In the second working mode, the physiological parameters of the target user are collected by the first and second sensing modules.
[0005] In one possible implementation, the operating parameters of the first sensing module include at least operating duration and signal strength; Based on the operating parameters of the first sensing module, determine the reliability level of the first sensing module, including: The reliability level is determined based on the operating time and signal strength.
[0006] In one possible implementation, before determining the reliability level based on operating duration and signal strength, the method further includes: Obtain activity information of target users; The reliability level is determined based on the operating duration and signal strength, including: The reliability level is determined based on activity information, operating duration, and signal strength.
[0007] In one possible implementation, the reliability level is determined based on the operating duration and signal strength, including: The operating time and signal strength are input into a pre-configured first neural network model to obtain the reliability level output by the first neural network model; the first neural network model is trained based on the first training samples; the first training samples include historical operating time, historical signal strength, and historical reliability levels corresponding to both historical operating time and historical signal strength. or, The reliability score is determined based on the operating time and signal strength. The preset level corresponding to the reliability score in the preset mapping relationship is determined as the reliability level; the preset mapping relationship includes the mapping relationship between the reliability score and the preset level.
[0008] In one possible implementation, the second working mode includes a first collaborative mode and a second collaborative mode; the data acquisition frequency in the first collaborative mode is greater than the data acquisition frequency in the second collaborative mode. In response to the reliability level meeting preset conditions, the first sensing module and the second sensing module are controlled to operate in a second working mode, including: When the reliability level is greater than the lower limit of the preset level and less than the upper limit of the preset level, the first sensing module is controlled to work in the first cooperative mode and the second sensing module is controlled to work in the second cooperative mode. When the reliability level is lower than the preset lower limit, the first sensing module is controlled to work in the second collaborative mode and the second sensing module is controlled to work in the first collaborative mode.
[0009] In one possible implementation, after collecting the target user's physiological parameters using both the first and second sensing modules, the method further includes: The first and second weighting coefficients are determined based on the reliability level; the first weighting coefficient is positively correlated with the reliability level; the second weighting coefficient is negatively correlated with the reliability level. When the first sensing module operates in the first collaborative mode and the second sensing module operates in the second collaborative mode, the first physiological parameter is determined based on the physiological parameters collected by the first sensing module and the first weighting coefficient; the second physiological parameter is determined based on the physiological parameters collected by the second sensing module and the second weighting coefficient; and the first target physiological parameter of the target user is determined based on the first physiological parameter and the second physiological parameter. When the first sensing module operates in the second collaborative mode and the second sensing module operates in the first collaborative mode, the third physiological parameter is determined based on the physiological parameters collected by the first sensing module and the second weighting coefficient; the fourth physiological parameter is determined based on the physiological parameters collected by the second sensing module and the first weighting coefficient; and the second target physiological parameter of the target user is determined based on the third and fourth physiological parameters.
[0010] In one possible implementation, after controlling the second sensing module to operate in the second operating mode in response to the reliability level meeting a preset condition, the method further includes: In response to the reliability level being lower than the preset safety level lower limit, the first sensing module is controlled to stop working and the second sensing module is controlled to switch from the second working mode to the first working mode; or, In response to a reliability level exceeding the preset safety level limit, the second sensing module is controlled to stop working, and the first sensing module switches from the second working mode to the first working mode.
[0011] In one possible implementation, before controlling the first sensing module to operate in a first operating mode in response to a start command, the method further includes: Determine the operating timing of each sensor module in at least two sensor modules; Based on the working sequence of each sensing module, a first sensing module is determined from at least two sensing modules, and a second sensing module is determined from the other sensing modules besides the first sensing module from at least two sensing modules.
[0012] Secondly, embodiments of this application provide a device control system applied to a sensing device installed on a target user, comprising at least two sensing modules, and the system includes: The first response module is used to respond to the start command and control the first sensing module to operate in a first working mode; the first sensing module is determined based on at least two sensing modules. The determination module is used to determine the reliability level of the first sensing module based on its operating parameters. The second response module is used to control the second sensing module to operate in a second working mode in response to the reliability level meeting preset conditions; the second sensing module is determined based on the other sensing modules among at least two sensing modules excluding the first sensing module; wherein... In the first working mode, the first response module is also used to collect the physiological parameters of the target user using the first sensing module; In the second operating mode, the second response module is also used to collect the physiological parameters of the target user by jointly using the first and second sensing modules.
[0013] Thirdly, embodiments of this application provide a sensing device, which is installed on a target user and includes: At least two sensing modules; Memory; The processor stores computer programs in its memory, and when the computer programs are executed by the processor, they implement the methods provided in the first aspect.
[0014] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by one or more processors, implements the method provided in the first aspect.
[0015] Fifthly, embodiments of this application provide a computer program product, which includes a computer program that, when executed by one or more processors, implements the method provided in the first aspect.
[0016] The device control method provided in this application embodiment can control a first sensing module to operate in a first working mode in response to a start command; the first sensing module is determined based on at least two sensing modules. Subsequently, the reliability level of the first sensing module can be determined based on its operating parameters, and in response to the reliability level meeting preset conditions, the first and second sensing modules are controlled to operate in a second working mode; the second sensing module is determined based on the other sensing modules among the at least two sensing modules besides the first module. In the first working mode, the first sensing module is used to collect physiological parameters of the target user; in the second working mode, the first and second sensing modules are used together to collect physiological parameters of the target user. This application embodiment, by setting multiple sensing modules and controlling the working modes of each sensing module, can extend the effective working time of the sensing modules within the patient's body to meet the patient's long-term monitoring needs. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. It should be understood that the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] The attached diagram is described below: Figure 1 One of the schematic flowcharts of a device control method provided in this application embodiment; Figure 2 A second schematic flowchart illustrating a device control method provided in an embodiment of this application; Figure 3The third schematic flowchart of a device control method provided in this application embodiment; Figure 4 A schematic diagram of the timeline of sensor module state switching and working mode in a device control method provided in an embodiment of this application; Figure 5 This is one of the hardware structure diagrams of a sensing device provided in an embodiment of this application; Figure 6 This is a second schematic diagram of the hardware structure of a sensing device provided in an embodiment of this application; Figure 7 This is a schematic diagram of the functional modules of a device control system provided in an embodiment of this application; Figure 8 This is the third schematic diagram of the hardware structure of a sensing device provided in an embodiment of this application.
[0019] Explanation of reference numerals in the attached figures: 501. Top shell; 502, waterproof silicone for the upper shell; 503, Circuit Board; 504, lower shell; 505, waterproof silicone contact material; 506. Copper contacts; 507. Sensing module; 700. Equipment control system; 710. First Response Module; 720. Determine the module; 730. Second Response Module; 801. Processor; 802. Memory; 803. Communication interface; 810. Bus. Detailed Implementation
[0020] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.
[0021] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.
[0022] With the development of biomedical sensing technology, the use of implantable sensing devices to monitor physiological indicators in patients (such as blood glucose, lactate, blood oxygen saturation, etc.) has become an important means to assist professionals (such as medical staff or other professionals engaged in the medical industry) in managing chronic diseases and monitoring health.
[0023] However, such devices face severe challenges in practical applications, as their effective working life in the body is limited. On the one hand, due to the complex in vivo biological environment and the cumulative effect of long-term continuous operation, after the sensor module is implanted in the patient's body, proteins, cells, and other substances in the patient's body fluids will adhere to the surface of the sensor module, forming a bioaccumulation layer. This will hinder the diffusion of the analyte (such as glucose) to the sensing interface, resulting in signal attenuation and decreased sensitivity of the sensor module, ultimately causing the sensor module to fail within a few days to a week.
[0024] Although existing technologies are dedicated to slowing down this process by improving sensor materials or structures, the performance improvement potential of a single sensor is gradually approaching its limit. For example, some electrochemical or optical sensing elements undergo irreversible chemical reactions or physical wear and tear under continuous operation, leading to performance degradation and making it difficult to fundamentally meet the long-term monitoring needs of patients.
[0025] Based on this, embodiments of this application provide a device control method, a device control system, a sensing device, a computer-readable storage medium, and a computer program product. The device control method, in response to a start command, controls a first sensing module to operate in a first working mode; the first sensing module is determined based on at least two sensing modules. Subsequently, based on the operating parameters of the first sensing module, its reliability level is determined, and in response to the reliability level meeting preset conditions, the first and second sensing modules are controlled to operate in a second working mode; the second sensing module is determined based on the other sensing modules among the at least two sensing modules besides the first. In the first working mode, the first sensing module is used to collect physiological parameters of the target user; in the second working mode, the first and second sensing modules are used together to collect physiological parameters of the target user. Embodiments of this application, by setting multiple sensing modules and controlling the working modes of each sensing module, can extend the effective working time of the sensing modules within the patient's body to meet the patient's long-term monitoring needs.
[0026] Before detailing the device control method provided in this application, it should be noted that in the following specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent will be obtained first. Furthermore, the collection, use, and processing of this data will comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user will be obtained through pop-ups, redirection to confirmation pages, and voice notifications. Only after obtaining the user's separate permission or consent will the necessary user-related data for the normal operation of the embodiments of this application be acquired.
[0027] Please see Figure 1 , Figure 1 This is one of the flowcharts illustrating a device control method provided in an embodiment of this application, such as... Figure 1 The method shown can be applied to the device control system or sensing device in the following embodiments.
[0028] The aforementioned sensing device is installed on the target user, and the sensing device includes at least two sensing modules.
[0029] Taking a sensing device comprising two sensing modules as an example, in some embodiments, the two sensing modules in the sensing device are sensors of the same type, used to alternately monitor the same physiological indicator in the target user's body. In some embodiments, the two sensing modules in the sensing device are sensors of different types, used to monitor two different physiological indicators in the target user's body at different times.
[0030] Although the sensing device is shown to include two sensing modules for illustrative purposes, more sensing modules may be added to the sensing device as needed, all of which are within the protection scope of the embodiments of this application.
[0031] The following will specifically introduce its application in sensing devices, such as... Figure 1 The method shown includes steps 110 to 130.
[0032] Step 110: In response to the start command, control the first sensing module to operate in the first working mode; the first sensing module is determined based on at least two sensing modules.
[0033] The aforementioned start command can refer to the control signal used to trigger the sensor device to start operating.
[0034] In some embodiments, the startup command may be a software command. For example, the sensing device may include a communication module for communicating with an external control terminal, which may send a startup command to the sensing device. The communication connection between the communication module and the external control terminal may include, but is not limited to, any one of Bluetooth, Wi-Fi, ZigBee, 4G, and 5G.
[0035] In some embodiments, the activation command can be a hardware signal. For example, the sensing device may include a timing module and a control module. Before implanting the sensing device into the target user's body, a start button can be manually pressed (e.g., under the operation of a professional). In this case, the hardware signal is a level transition caused by the button being pressed. The timing module then starts timing, and the sensing device is promptly implanted into the target user's body. The activation command can be generated by the control module when it detects that the timing module has reached a preset timing duration.
[0036] The aforementioned first sensing module refers to the hardware unit that the sensing device prioritizes for performing physiological indicator monitoring tasks. The first sensing module is essentially a sensor, and this application does not specifically limit the type of the first sensing module; it can be selected according to actual needs. For example, if it is necessary to monitor the blood glucose level of the target user, a blood glucose monitoring sensor can be used as the first sensing module. Similarly, if it is necessary to monitor lactic acid levels in the target user, a lactic acid sensor can be used as the first sensing module. Furthermore, if it is necessary to monitor glucose levels in the target user, a glucose sensor can be used as the first sensing module.
[0037] The first working mode mentioned above can be regarded as the main working mode. The sensing module in the first working mode is configured to operate with full functions. Full-function operation may include, but is not limited to, full-speed power-on, high-frequency sampling, real-time signal processing, and data uploading.
[0038] In some embodiments, the sensing device includes a power module and a control module. The power module can be electrically connected to the control module, and the control module can be electrically connected to each sensing module. The power module can be used to supply power to the control module and each sensing module.
[0039] In some embodiments, the first sensing module may be randomly selected by the sensing device from all sensing modules.
[0040] In some embodiments, the first sensing module may be determined by the sensing device performing a self-test on all sensing modules and based on the self-test results. For example, the sensing device may determine the sensing module with the best indicator signal quality or the lowest reference noise in the self-test results as the first sensing module.
[0041] In some embodiments, at least two of the above-mentioned sensing modules are integrated in the same sensing device. In this way, the sensing device can be implanted subcutaneously in a single target user, achieving the physiological indicator monitoring effect of multiple sensing modules. On the one hand, this can greatly extend the effective working time of the sensing device in the target user's body and meet the target user's long-term monitoring needs. On the other hand, it can also avoid the situation of implanting a single sensing module multiple times at different times, which can significantly alleviate the pain of multiple subcutaneous implantations for the target user.
[0042] In some embodiments, when the sensing device controls the first sensing module to operate in a first operating mode, the sensing device controls all sensing modules other than the first sensing module to remain in a stopped state. Thus, by operating only a single sensing module instead of starting all sensing modules, the average power consumption during startup of all sensing modules can be significantly reduced, extending the lifespan of the power supply module in the sensing device.
[0043] Step 120: Determine the reliability level of the first sensing module based on its operating parameters.
[0044] The aforementioned operating parameters are quantitative data indicators that reflect the health status and performance of the first sensing module. In some embodiments, the operating parameters include operating duration and signal strength. Specifically, operating duration refers to the cumulative time the first sensing module is in an active state; signal strength refers to the amplitude of the electrical signal output by the first sensing module. The electrical signal amplitude refers to the digital electrical signal output by the first sensing module after activation, that is, the conversion of analog signals into digital electrical signals when the first sensing module comes into contact with the target monitored substance (such as glucose) and undergoes an electrochemical reaction or physical change.
[0045] The aforementioned reliability levels can be used to characterize the reliability of the first sensing module. For example, reliability levels include Level 1 (high), Level 2 (medium), and Level 3 (low).
[0046] In one possible implementation, the operating parameters of the first sensing module include at least operating duration and signal strength; Based on the operating parameters of the first sensing module, determine the reliability level of the first sensing module, including: The reliability level is determined based on the operating time and signal strength.
[0047] In one possible implementation, the reliability level is determined based on the operating duration and signal strength, including: The operating time and signal strength are input into a pre-configured first neural network model to obtain the reliability level output by the first neural network model; the first neural network model is trained based on the first training samples; the first training samples include historical operating time, historical signal strength, and historical reliability levels corresponding to both historical operating time and historical signal strength. or, The reliability score is determined based on the operating time and signal strength. The preset level corresponding to the reliability score in the preset mapping relationship is determined as the reliability level; the preset mapping relationship includes the mapping relationship between the reliability score and the preset level.
[0048] In some embodiments, the pre-configured first neural network model can be trained based on a backpropagation neural network (BP neural network).
[0049] In some embodiments, determining the reliability level based on operating duration and signal strength further includes: If the working time is less than the preset time and the signal strength is greater than the first signal strength, the reliability level is determined to be Level 1 (high). If the working duration exceeds the preset duration and the signal strength is less than the second signal strength, the reliability level is determined to be Level 2 (intermediate).
[0050] In some embodiments, the preset duration is 7 days; the first signal strength = 90% of the initial signal value; and the second signal strength = 60% of the initial signal value. The initial signal value may refer to the signal value corresponding to the first operation of the first sensing module.
[0051] Step 130: In response to the reliability level meeting the preset conditions, control the first sensing module and the second sensing module to work in the second working mode; the second sensing module is determined based on the other sensing modules among at least two sensing modules excluding the first sensing module; wherein, in the first working mode, the first sensing module is used to collect the physiological parameters of the target user; in the second working mode, the first sensing module and the second sensing module are used together to collect the physiological parameters of the target user.
[0052] The aforementioned second sensing module may refer to a hardware unit used to assist or replace the first sensing module. For details, please refer to the introduction of the first sensing module in step 110. Examples will not be provided here.
[0053] The second working mode mentioned above can be called the "dual sensor collaborative working mode", that is, the first sensing module and the second sensing module jointly collect the physiological indicators of the target user.
[0054] In this embodiment, on the one hand, by activating the backup sensor (second sensing module), an additional data source is provided when the performance of the main sensor (first sensing module) deteriorates, thus avoiding monitoring interruption caused by a single point of failure. On the other hand, through joint data acquisition, subsequent data acquisition by the second sensing module can be used to correct the data acquired by the first sensing module under performance degradation through data fusion, cross-validation, or calibration algorithms, thereby improving the overall accuracy of the acquired data.
[0055] In one possible implementation, before determining the reliability level based on operating duration and signal strength, the method further includes: Obtain activity information of target users; The reliability level is determined based on the operating duration and signal strength, including: The reliability level is determined based on activity information, operating duration, and signal strength.
[0056] The aforementioned activity information includes, but is not limited to, the target user's eating activities and exercise activities. In some embodiments, eating and exercise activities can be monitored using a monitoring device worn by the user. The sensing device can communicate with the monitoring device through its communication module to obtain data related to eating and exercise activities.
[0057] In some embodiments, the reliability level is determined based on activity information, operating duration, and signal strength, which can be achieved in the following ways.
[0058] Method 1: Input the activity information, working duration, and signal strength into a pre-configured second neural network model to obtain the reliability level output by the second neural network model; the second neural network model is trained based on the second training samples; the second training samples include historical activity information, historical working duration, historical signal strength, and historical reliability levels corresponding to the historical activity information, historical working duration, and historical signal strength.
[0059] Method 2: Determine the reliability score based on historical activity information, working duration, and signal strength; determine the preset level corresponding to the reliability score in the preset mapping relationship as the reliability level; the preset mapping relationship includes the mapping relationship between the reliability score and the preset level.
[0060] The aforementioned pre-configured second neural network model can be found in the description of the pre-configured first neural network model in the foregoing embodiments, and will not be repeated here.
[0061] In one possible implementation, the second working mode includes a first collaborative mode and a second collaborative mode; the data acquisition frequency in the first collaborative mode is greater than the data acquisition frequency in the second collaborative mode. In response to the reliability level meeting preset conditions, the first sensing module and the second sensing module are controlled to operate in a second working mode, including: When the reliability level is greater than the lower limit of the preset level and less than the upper limit of the preset level, the first sensing module is controlled to work in the first cooperative mode and the second sensing module is controlled to work in the second cooperative mode. When the reliability level is lower than the preset lower limit, the first sensing module is controlled to work in the second collaborative mode and the second sensing module is controlled to work in the first collaborative mode.
[0062] If the first collaborative mode described above is considered a high-frequency acquisition mode, then the second collaborative mode can be considered a low-frequency acquisition mode. This application does not specifically limit the data acquisition frequency of the first and second collaborative modes; they can be selected according to actual needs.
[0063] If the reliability level is greater than the preset lower limit and less than the preset upper limit, the reliability level is Level 2 (medium); if the reliability level is less than the preset lower limit, the reliability level is Level 3 (low).
[0064] In this embodiment, on the one hand, when the performance of the first sensing module is at level two, in order to save power by running the second sensing module at a low frequency to avoid wasting its lifespan, the optimal allocation of hardware resources can be achieved, thereby extending the usage time of the sensing device. On the other hand, as the reliability level of the first sensing module decreases to level three, the sensing device can transfer the control of "high-frequency acquisition" to the second sensing module with a higher reliability level. This ensures that at any time, the physiological indicators output by the sensing device come from the most reliable sensing module, thus effectively avoiding the problem of decreased accuracy in physiological indicator monitoring caused by sudden changes in the performance of a single sensor.
[0065] It should be noted that, generally, the reliability level of the newly activated second sensing module is higher than that of the first sensing module. In some embodiments, the reliability level of the second sensing module can be determined in the same manner, and the operating modes of the first and second sensing modules can be determined based on the reliability levels of the first and second sensing modules.
[0066] In one possible implementation, after collecting the target user's physiological parameters using both the first and second sensing modules, the method further includes: The first and second weighting coefficients are determined based on the reliability level; the first weighting coefficient is positively correlated with the reliability level; the second weighting coefficient is negatively correlated with the reliability level. When the first sensing module operates in the first collaborative mode and the second sensing module operates in the second collaborative mode, the first physiological parameter is determined based on the physiological parameters collected by the first sensing module and the first weighting coefficient; the second physiological parameter is determined based on the physiological parameters collected by the second sensing module and the second weighting coefficient; and the first target physiological parameter of the target user is determined based on the first physiological parameter and the second physiological parameter. When the first sensing module operates in the second collaborative mode and the second sensing module operates in the first collaborative mode, the third physiological parameter is determined based on the physiological parameters collected by the first sensing module and the second weighting coefficient; the fourth physiological parameter is determined based on the physiological parameters collected by the second sensing module and the first weighting coefficient; and the second target physiological parameter of the target user is determined based on the third and fourth physiological parameters.
[0067] For example, when the first sensing module operates in the first collaborative mode and the second sensing module operates in the second collaborative mode, the first weighting coefficient is 0.7 and the second weighting coefficient is 0.3.
[0068] For example, determining the first target physiological parameter of a target user based on the first physiological parameter and the second physiological parameter includes: determining the average value of the first physiological parameter and the second physiological parameter as the first target physiological parameter.
[0069] For example, determining a second target physiological parameter for a target user based on a third physiological parameter and a fourth physiological parameter includes: determining the average value of the third physiological parameter and the fourth physiological parameter as the second target physiological parameter.
[0070] In this embodiment, by weighted fusion of data from two sensing modules, data filtering can be achieved. Considering that the two sensing modules are independent, the instantaneous interferences they experience (such as noise, contact failure, and jitter) are often uncorrelated. The weighted fusion algorithm can utilize this uncorrelatedness to effectively filter out random spike noise that may be generated by a single sensor, thereby outputting more reliable and accurate monitoring data than a single sensor.
[0071] In one possible implementation, after controlling the second sensing module to operate in the second operating mode in response to the reliability level meeting a preset condition, the method further includes: In response to the reliability level being lower than the preset safety level lower limit, the first sensing module is controlled to stop working and the second sensing module is controlled to switch from the second working mode to the first working mode; or, In response to a reliability level exceeding the preset safety level limit, the second sensing module is controlled to stop working, and the first sensing module switches from the second working mode to the first working mode.
[0072] If the preset safety level lower limit is lower than level three, or the reliability level is lower than the preset safety level lower limit, it indicates that the corresponding first sensing module has failed and a power-off process is required.
[0073] If the preset security level is higher than level one and the reliability level is lower than the preset security level, it means that the corresponding first sensing module has recovered to a state close to its activation state, and the first sensing module can continue to be controlled to collect data.
[0074] In this embodiment, dynamic adaptation and power consumption optimization of sensing device resources can be achieved. In actual data monitoring, the sensor signal of the sensing module may be subject to temporary interference, such as brief violent movements or electromagnetic noise, which may cause a temporary decrease in reliability, triggering the selection of a second sensing module to enter a second working mode. Once the reliability level of the first sensing module returns to normal (the reliability level is higher than the preset safety level upper limit), this embodiment shuts down the second sensing module and restores the independent operation of the first sensing module. In this way, the permanent activation of the second sensing module due to occasional interference can be avoided, thereby greatly saving the power consumption and lifespan of the second sensing module and extending the working time of the sensing device.
[0075] In one possible implementation, before controlling the first sensing module to operate in a first operating mode in response to a start command, the method further includes: Determine the operating timing of each sensor module in at least two sensor modules; Based on the working sequence of each sensing module, a first sensing module is determined from at least two sensing modules, and a second sensing module is determined from the other sensing modules besides the first sensing module from at least two sensing modules.
[0076] The operating timing of the aforementioned sensors can be configured before subcutaneous implantation into the target user.
[0077] In some embodiments, before controlling the second sensing module to operate in the second operating mode, the method further includes: Based on the historical operating parameters of the first sensing module, the failure time point when the first sensing module reaches a failure state is determined; In response to a preset wake-up time before the failure time point is reached, the second sensing module is controlled to enter the preheating state. In the preheating state, the second sensing module is controlled to perform a self-test until the failure time point is reached, and then the second sensing module is controlled to work according to the second working mode.
[0078] In some embodiments, during the preheating state, the method further includes: The environmental characteristic parameters of the first sensing module are acquired, including at least the baseline drift value, background interference model, and personalized calibration coefficients for the target user; the environmental characteristic parameters are loaded into the second sensing module to adjust the signal processing model of the second sensing module; when the deviation between the output data of the second sensing module and the output data of the first sensing module converges within a preset error range, the second sensing module is confirmed to have completed environmental adaptation.
[0079] In some embodiments, the operating parameters include the operating duration; if the operating duration exceeds a preset safe operating duration threshold, it is not necessary to determine the reliability level of the first sensing module, and the second sensing module can be directly controlled to operate according to the first operating module.
[0080] In some embodiments, the operating parameters include operating time; when the operating time is less than a preset safe operating time threshold, the first sensing module and the second sensing module are controlled to alternately enter the operating state and the dormant state according to a preset rotation cycle, so as to balance the bioaccumulation rate of the first sensing module and the second sensing module.
[0081] It should be noted that, in the embodiments of this application, when the first sensing module is working in the first working mode, all sensing modules other than the first sensing module are in a non-working state or a "dormant" state. The sensing interfaces of these "dormant" sensing modules are not activated, thus effectively delaying the occurrence of bioaccumulation. Even if the second sensing module starts working when the first sensing module fails due to bioaccumulation, the continuity of monitoring data can still be guaranteed.
[0082] It should be noted that the various embodiments described in this application can be combined with each other or implemented individually without conflict, and this application does not limit this.
[0083] To facilitate understanding of the implementation process of the above embodiments, a specific embodiment will be used as an example: Please see Figure 2 , Figure 2 This is a second schematic flowchart of a device control method provided in an embodiment of this application.
[0084] exist Figure 2 middle: S1: Indicates the first sensing module (or the first sensor); Primary working mode: Indicates the first working mode; Collaborative work mode: Indicates the second work mode; High reliability: Indicates a reliability level higher than level one; Unstable state and decreased reliability: This indicates that the reliability level in step 130 meets the preset conditions; Determine the S1 status: It can be determined directly through the operating parameters of S1, or through the reliability level determined based on the operating parameters of S1.
[0085] Please see Figure 3 , Figure 3 This is a third flowchart illustrating a device control method provided in an embodiment of this application, specifically including... Figure 3 (a) and Figure 3 (b) Two parts, of which, Figure 3 (a) Flow node 100 link Figure 3 (b) Process node 100'; Figure 3 (a) Flow node 200 link Figure 3 (b) Process node 200'; Figure 3 (a) Flow node 300 link Figure 3 (b) Process node 300'.
[0086] exist Figure 3 middle: In the collaborative strategy, R = medium, and the corresponding branch strategy A: indicates that when the reliability level is greater than the preset lower limit and less than the preset upper limit, the first sensing module is controlled to work according to the first collaborative mode. In the collaborative strategy, R = low, corresponding to strategy B in the branch: when the reliability level is less than the preset lower limit, control the first sensing module to work in the second collaborative mode and the second sensing module to work in the first collaborative mode. Restore to "Good": In response to the reliability level being greater than the preset safety level upper limit, control the second sensing module to stop working and the first sensing module to switch from the second working mode to the first working mode; "Deterioration to 'failure'" indicates that in response to the reliability level being lower than the preset safety level lower limit, the first sensing module is controlled to stop working and the second sensing module switches from the second working mode to the first working mode.
[0087] Please see Figure 4 , Figure 4 This is a timeline diagram illustrating the state switching and operating mode of the sensing module involved in a device control method provided in an embodiment of this application. Figure 4 Please refer to the explanations of each stage and content in the document. Figure 2 and Figure 3 The corresponding introductory content will not be repeated here.
[0088] To clearly illustrate the structure of the sensing device in the embodiments of this application, please refer to the following example. Figure 5 , Figure 5 This is one of the hardware structure diagrams of a sensing device provided in an embodiment of this application, specifically including... Figure 5 (a) and Figure 5 (b), where, Figure 5 (a) shows the disassembled state of the sensing device. Figure 5 (b) shows the complete assembly status of the sensing device.
[0089] Specifically, in Figure 5 In (a), it can be clearly observed that the sensing device includes an upper housing 501, an upper housing waterproof silicone 502, a circuit board 503, a lower housing 504, a contact waterproof silicone 505, copper contacts 506, a sensing module 507 (which may include at least two sensors, as shown in the figure), and a contact mounting component 508.
[0090] It should be noted that, although shown for illustrative purposes Figure 5 The method provided in this application embodiment is applicable to other types of sensing devices, which need to include at least two sensors.
[0091] Please see Figure 6 , Figure 6 This is a second schematic diagram of the hardware structure of a sensing device provided in an embodiment of this application. Figure 6 In the middle, three copper contacts press down on two sensors respectively, and the two sensors exit from the front hole through the waterproof silicone of the contacts.
[0092] Corresponding to the above method embodiments, this application also provides a device control system. Please refer to [link to relevant documentation]. Figure 7 , Figure 7 This application provides a schematic diagram of the functional modules of a device control system 700. The device control system 700 is applied to a sensing device installed on a target user and includes at least two sensing modules. The system includes: The first response module 710 is used to respond to the start command and control the first sensing module to operate in a first working mode; the first sensing module is determined based on at least two sensing modules. The determination module 720 is used to determine the reliability level of the first sensing module based on the operating parameters of the first sensing module; The second response module 730 is used to control the second sensing module to operate in a second working mode in response to the reliability level meeting a preset condition; the second sensing module is determined based on the other sensing modules among at least two sensing modules excluding the first sensing module; wherein... In the first operating mode, the first response module 710 is also used to collect the physiological parameters of the target user using the first sensing module; In the second working mode, the second corresponding module 730 is also used to collect the physiological parameters of the target user by jointly using the first sensing module and the second sensing module.
[0093] The device control system provided in this application embodiment can achieve the following: Figure 1 The various processes implemented in the Chinese method embodiments can achieve similar or the same technical effects, and will not be described again here to avoid repetition.
[0094] In addition to the methods and systems provided in the above embodiments, this application also provides a sensing device. Figure 8 This is the third schematic diagram of the hardware structure of a sensing device provided in an embodiment of this application.
[0095] like Figure 8 The sensing device shown may include a processor 801 and a memory 802 storing computer program instructions, such as... Figure 8 The sensing device shown does not display the sensing module.
[0096] Specifically, the processor 801 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.
[0097] Memory 802 may include mass storage for data or instructions. For example, and not limitingly, memory 802 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 802 may include removable or non-removable (or fixed) media. Where appropriate, memory 802 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 802 is non-volatile solid-state memory.
[0098] In some embodiments, memory 802 may include read-only memory (ROM), random access memory (RAM), disk storage media device, optical storage media device, flash memory device, electrical, optical, or other physical / tangible memory storage device. Therefore, generally, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described in the methods provided according to embodiments of this application.
[0099] The processor 801 implements the method provided in the above embodiments by reading and executing computer program instructions stored in the memory 802.
[0100] In one example, the sensing device may also include a communication interface 803 and a bus 810. The processor 801, memory 802, and communication interface 803 are connected via the bus 810 and communicate with each other.
[0101] The communication interface 803 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.
[0102] Bus 810 includes hardware, software, or both, that couples components of a sensing device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 810 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.
[0103] Furthermore, in conjunction with the methods provided in the above embodiments, this application embodiment can be implemented using a computer-readable storage medium. This computer-readable storage medium stores computer program instructions; when executed by a processor, these computer program instructions implement any of the methods in the above embodiments.
[0104] Furthermore, in conjunction with the methods provided in the above embodiments, this application embodiment can provide a computer program product to implement the methods. This program product is stored in a storage medium and executed by at least one processor to implement the various processes of the embodiments of the methods provided in the above embodiments, achieving similar or identical technical effects. To avoid repetition, further details are omitted here.
[0105] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.
[0106] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.
[0107] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.
[0108] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.
[0109] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.
Claims
1. A device control method, characterized in that, The method, applied to a sensing device installed on a target user and comprising at least two sensing modules, includes: In response to a start command, the first sensing module is controlled to operate in a first working mode; the first sensing module is determined based on the at least two sensing modules. Based on the operating parameters of the first sensing module, determine the reliability level of the first sensing module; In response to the reliability level meeting preset conditions, the first sensing module and the second sensing module are controlled to operate in a second working mode; the second sensing module is determined based on the other sensing modules among the at least two sensing modules excluding the first sensing module; wherein... In the first working mode, the physiological parameters of the target user are collected using the first sensing module; In the second working mode, the physiological parameters of the target user are collected by the first sensing module and the second sensing module together.
2. The method as described in claim 1, characterized in that, The operating parameters of the first sensing module include at least operating time and signal strength; Determining the reliability level of the first sensing module based on its operating parameters includes: The reliability level is determined based on the operating time and the signal strength.
3. The method as described in claim 2, characterized in that, Before determining the reliability level based on the operating time and the signal strength, the method further includes: Obtain the activity information of the target user; Determining the reliability level based on the operating duration and the signal strength includes: The reliability level is determined based on the activity information, the working duration, and the signal strength.
4. The method as described in claim 2, characterized in that, Determining the reliability level based on the operating duration and the signal strength includes: The operating time and the signal strength are input into a pre-configured first neural network model to obtain the reliability level output by the first neural network model; the first neural network model is trained based on a first training sample; the first training sample includes historical operating time, historical signal strength, and historical reliability levels corresponding to both the historical operating time and the historical signal strength. or, A reliability score is determined based on the operating time and signal strength. The preset level corresponding to the reliability score in the preset mapping relationship is determined as the reliability level; the preset mapping relationship includes the mapping relationship between the reliability score and the preset level.
5. The method as described in claim 1, characterized in that, The second working mode includes a first collaborative mode and a second collaborative mode; the data acquisition frequency in the first collaborative mode is greater than the data acquisition frequency in the second collaborative mode. The step of controlling the first sensing module and the second sensing module to operate in a second working mode in response to the reliability level meeting preset conditions includes: When the reliability level is greater than the lower limit of the preset level and less than the upper limit of the preset level, the first sensing module is controlled to work in the first cooperative mode and the second sensing module is controlled to work in the second cooperative mode. If the reliability level is less than the preset lower limit, the first sensing module is controlled to work in the second cooperative mode, and the second sensing module is controlled to work in the first cooperative mode.
6. The method as described in claim 5, characterized in that, After collecting the physiological parameters of the target user using the first sensing module and the second sensing module, the method further includes: A first weighting coefficient and a second weighting coefficient are determined based on the reliability level; the first weighting coefficient is positively correlated with the reliability level; the second weighting coefficient is negatively correlated with the reliability level. When the first sensing module operates in the first collaborative mode and the second sensing module operates in the second collaborative mode, the first physiological parameter is determined based on the physiological parameters collected by the first sensing module and the first weighting coefficient; the second physiological parameter is determined based on the physiological parameters collected by the second sensing module and the second weighting coefficient; and the first target physiological parameter of the target user is determined based on the first physiological parameter and the second physiological parameter. When the first sensing module operates in the second collaborative mode and the second sensing module operates in the first collaborative mode, a third physiological parameter is determined based on the physiological parameters collected by the first sensing module and the second weighting coefficient; a fourth physiological parameter is determined based on the physiological parameters collected by the second sensing module and the first weighting coefficient; and a second target physiological parameter for the target user is determined based on the third physiological parameter and the fourth physiological parameter.
7. The method as described in claim 1, characterized in that, After the method responds to the reliability level meeting the preset conditions and controls the second sensing module to operate in the second working mode, the method further includes: In response to the reliability level being lower than the preset safety level lower limit, the first sensing module is controlled to stop working and the second sensing module is controlled to switch from the second working mode to the first working mode; or, In response to the reliability level being greater than the preset safety level upper limit, the second sensing module is controlled to stop working and the first sensing module is switched from the second working mode to the first working mode.
8. The method as described in claim 1, characterized in that, Before responding to the start command and controlling the first sensing module to operate in the first working mode, the method further includes: Determine the operating timing sequence of each of the at least two sensing modules; Based on the operating timing of each of the sensor modules, the first sensor module is determined from the at least two sensor modules, and the second sensor module is determined from the other sensor modules besides the first sensor module among the at least two sensor modules.
9. A device control system, characterized in that, The system, which is applied to a sensing device installed on a target user and includes at least two sensing modules, comprises: A first response module is used to respond to a start command and control a first sensing module to operate in a first working mode; the first sensing module is determined based on the at least two sensing modules. The determination module is used to determine the reliability level of the first sensing module based on the operating parameters of the first sensing module. The second response module is used to control the second sensing module to operate in a second working mode in response to the reliability level meeting a preset condition; the second sensing module is determined based on the other sensing modules among the at least two sensing modules excluding the first sensing module; wherein... In the first working mode, the first response module is also used to collect the physiological parameters of the target user using the first sensing module; In the second working mode, the second response module is also used to collect the physiological parameters of the target user by using the first sensing module and the second sensing module together.
10. A sensing device, characterized in that, The sensing device is installed on the target user and includes: At least two sensing modules; Memory; A processor, wherein a computer program is stored in the memory, and the computer program, when executed by the processor, implements the method of any one of claims 1 to 8.
11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by one or more processors, implements the method of any one of claims 1 to 8.
12. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by one or more processors, implements the method of any one of claims 1 to 8.