Data acquisition and analysis system and data optimization method

Abstract

The invention provides a data acquisition and analysis system and a data optimization method. The data acquisition and analysis system comprises at least two devices; wherein when the triggering mechanism meets a preset triggering condition, interconnection and intercommunication are realized between at least two pieces of equipment; moreover, in the at least two interconnected devices, at least one to-be-optimized device is used for acquiring the reference data of the reference device, and processing the local data of the reference device by using the reference data, so as to realize the optimization of the to-be-optimized data in the local data. According to the data acquisition and analysis system and the data optimization method provided by the invention, the problem of low data acquisition precision of existing data acquisition equipment can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and more specifically, to a data acquisition and analysis system and a data optimization method. Background Art

[0002] A data acquisition device is a device used to acquire data to be acquired. The data acquisition device includes a biological information acquisition device and a non-biological information acquisition device. For a biological information acquisition device, it includes a sphygmomanometer, a heart rate meter, a blood oxygen meter, etc. It should be noted that the biological information acquisition device also includes some intelligent wearable devices with biological information acquisition functions, such as intelligent rings, intelligent glasses, intelligent bracelets, and so on.

[0003] In the actual use process, for some data acquisition devices (especially intelligent wearable devices), due to limitations such as the wearing position, the biological acquisition accuracy of such biological acquisition devices is often not high, and the acquired data often cannot be used in high-precision usage scenarios.

[0004] Based on the above technical problems, there is an urgent need for a solution that can effectively improve the data accuracy of data acquisition devices. Summary of the Invention

[0005] In view of the above problems, the purpose of the present invention is to provide a data acquisition and analysis system and a data optimization method to solve the problem of low data acquisition accuracy of existing data acquisition devices.

[0006] The data acquisition and analysis system provided by the present invention includes: at least two devices;

[0007] Among them, when the triggering mechanism meets the preset triggering conditions, at least two of the devices achieve interconnection and interoperability; and,

[0008] Among the at least two devices that are interconnected and interoperable, at least one device to be optimized is used to acquire data to form local data; and obtain the reference data of other reference devices, and use the reference data to process its local data to optimize the data to be optimized in the local data.

[0009] In addition, a preferred solution is that among the at least two devices that are interconnected and interoperable in terms of data, at least one device is used to send a mode switching instruction to other devices interconnected with it, so that the corresponding device enters a preset working mode corresponding to the instruction; where the preset working mode includes a low-power independent operation mode and a high-resource consumption intercommunication mode.

[0010] In addition, a preferred solution is that among the at least two devices that are interconnected and interoperable in terms of data, at least one device is used to send a mode switching instruction to other devices interconnected with it at least twice;

[0011] to cause the corresponding device to first enter the high resource consumption interconnection mode and then resume to the low power consumption independent operation mode.

[0012] In addition, a preferred solution is to include at least one device for biological information collection.

[0013] In addition, a preferred solution is to include at least one device for biological information data processing.

[0014] In addition, a preferred solution is that among at least two interconnected devices, at least one type of device including an ECG device, a PPG device, and a blood pressure collection device is included.

[0015] In addition, a preferred solution is that among at least two devices with data interconnection, at least one master device is included.

[0016] In addition, a preferred solution is to include an intelligent device supporting the master-slave integrated mode, and the intelligent device can be configured as the master device or other devices.

[0017] On the other hand, the present invention also provides a data optimization method. The data optimization method optimizes the data of the device to be optimized by the foregoing data acquisition and analysis system. The data optimization method includes:

[0018] Among at least two interconnected devices, the device to be optimized acquires reference data of a reference device and processes its local data by using the reference data to optimize the data to be optimized in the local data.

[0019] In addition, a preferred solution is that the reference device interconnected with the device to be optimized is configured as the master device; and before the device to be optimized acquires the reference data of the reference device, it further includes:

[0020] The reference device sends a mode switching instruction to the device to be optimized to cause the device to be optimized to switch from the low power consumption independent operation mode to the high resource consumption interconnection mode;

[0021] The device to be optimized performs high power consumption data acquisition based on the high resource consumption interconnection mode;

[0022] After the high power consumption data acquisition of the device to be optimized is completed, the reference device sends a mode switching instruction to the device to be optimized to cause the device to be optimized to switch from the high resource consumption interconnection mode to the low power consumption independent operation mode.

[0023] Compared with the prior art, the above data acquisition and analysis system and data optimization method according to the present invention have the following beneficial effects:

[0024] The data acquisition and analysis system and data optimization method provided by the present invention can significantly improve the data accuracy and practicality of the data to be optimized by designing at least two interconnected devices and optimizing the data to be optimized in the device to be optimized based on the reference data in the parameter device among them. Moreover, by setting a trigger mechanism to control the interconnection between at least two devices and realizing the switching between the low-power independent operation mode and the high-resource consumption interconnection mode of the devices in the interconnected state, the power of the entire data acquisition and analysis system can be effectively reduced, and the device resource utilization rate of the entire data acquisition and analysis system can be improved.

[0025] To achieve the above and related purposes, one or more aspects of the present invention include features that will be described in detail later and specifically pointed out in the claims. The following description and the accompanying drawings illustrate certain exemplary aspects of the present invention in detail. However, these aspects only indicate some of the various ways in which the principles of the present invention can be used. In addition, the present invention is intended to include all these aspects and their equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] By referring to the content of the following specification in conjunction with the accompanying drawings, and with a more comprehensive understanding of the present invention, other objects and results of the present invention will become more apparent and easier to understand. In the drawings:

[0027] Figure 1 It is a signal transmission logic block diagram between devices in the data acquisition and analysis system provided by the present invention.

[0028] Figure 2 It is a flowchart of the data optimization method provided in the embodiment of the present invention, taking the smart ring as the device to be optimized and the sphygmomanometer as the reference device (wherein, the sphygmomanometer is used as the master device and the smart ring is used as the slave device). DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] In the following description, for the purpose of illustration, in order to provide a comprehensive understanding of one or more embodiments, many specific details are set forth. However, it is obvious that these embodiments can also be implemented without these specific details. In other examples, well-known structures and devices are shown in block diagram form for the convenience of describing one or more embodiments.

[0030] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. The terms "first", "second", "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, unless otherwise clearly specified and defined, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0031] Figure 1 The signal transmission logic block diagram among the devices in the data acquisition and analysis system provided by the present invention is shown. It can be seen from Figure 1 that the data acquisition and analysis system provided by the present invention includes: at least two devices ( Figure 1 Three devices are shown, including Device 1, Device 2, and Device 3); among them, when the triggering mechanism meets the preset triggering conditions, at least two of the devices achieve interconnection and interoperability; and, among the at least two devices that are interconnected and interoperable, at least one device to be optimized is used to collect data to form local data; and obtain the reference data of other reference devices, and use the reference data to process its local data to optimize the data to be optimized in the local data.

[0032] Taking three devices as an example (including Device 1, Device 2, and Device 3), when the triggering mechanism meets Triggering Condition 1, interconnection and interoperability are achieved between Device 1 and Device 2. When the triggering mechanism meets Triggering Condition 2, interconnection and interoperability are achieved between Device 3 and Device 2. When the triggering mechanism meets Triggering Condition 1, interconnection and interoperability are achieved between Device 1 and Device 3.

[0033] The data acquisition and analysis system provided by the present invention can significantly improve the data accuracy and practicality of the data to be optimized by designing at least two interconnected and interoperable devices and optimizing the data to be optimized in the device to be optimized based on the reference data in the parameter device.

[0034] It should be noted that the data acquisition and analysis system provided by the present invention can significantly improve the utilization rate of device resources in the entire data acquisition and analysis system. Traditional bioinformatics acquisition devices usually operate independently and have a single function. If multiple types of biological data need to be obtained, it is often necessary to combine multiple devices or develop multifunctional integrated devices, which increases the device complexity and reduces the resource utilization rate. However, the data acquisition and analysis system provided by the present invention can achieve functional collaboration between different devices through the design of interconnection and interoperability between devices, so that a single device does not need to cover multiple functions, but realizes multi-dimensional data acquisition and comprehensive analysis through the linkage between devices. For example, a sphygmomanometer and a smart ring are respectively used to collect blood pressure and blood oxygen data. In the traditional method, a separate device is required to support the integrated acquisition of blood pressure and blood oxygen. However, the present invention coordinates the sphygmomanometer and the smart ring through an interconnection and interoperability system, so that they synchronously collect blood pressure and blood oxygen data when linked, thereby avoiding the complexity and cost of developing an integrated device and improving the device resource utilization rate.

[0035] Furthermore, among at least two devices with data interconnection and interoperability, at least one device is used to send instructions to other devices interconnected with it, so that the corresponding devices enter a preset working mode corresponding to the instructions. The preset working mode includes a low-power independent operation mode and a high-resource consumption interconnection mode. And, each device is configured as the low-power independent operation mode under normal conditions; when the triggering mechanism meets the preset triggering conditions, the working modes of the devices entering interconnection and interoperability can be changed to the high-resource consumption interconnection mode, and the devices entering the high-resource consumption interconnection mode perform high-power consumption information acquisition (and even can complete data interaction between devices); after the devices entering the high-resource consumption interconnection mode complete the high-power consumption information acquisition, they return to the low-power independent operation mode again.

[0036] It should be noted that in order to further optimize the device power consumption of the entire data acquisition and analysis system, the data acquisition and analysis system provided by the present invention designs a triggering mechanism triggered on demand. Each device is configured as the low-power independent operation mode under normal conditions; when the triggering mechanism meets the preset triggering conditions, the devices entering interconnection and interoperability can be changed to the high-resource consumption interconnection mode under the indication of a mode switching instruction, and the devices entering the high-resource consumption interconnection mode perform corresponding high-power consumption data acquisition; after the devices entering the high-resource consumption interconnection mode complete the corresponding high-power consumption data acquisition, they return to the low-power independent operation mode again. Traditional devices often need to run continuously for synchronous acquisition, resulting in high power consumption. However, the data acquisition and analysis system provided by the present invention innovatively introduces a design of triggering the triggering mechanism by necessary preset triggering conditions, and only starts the data interaction process between devices when needed. The devices in the data interaction state will perform high-power consumption data acquisition (that is, remain in the high-resource consumption interconnection mode) only under the indication of a mode switching instruction, and other devices operate independently at other times, which can effectively reduce the overall power consumption of the entire data acquisition and analysis system.

[0037] It should be noted that among at least two devices with data interconnection and interoperability, at least one device is used to send a mode switching instruction to other devices interconnected with it at least twice; when the mode switching instruction is sent for the first time, the corresponding other device switches from the low-power independent operation mode to the high-resource consumption interconnection mode, and then the other device performs corresponding high-power data collection based on the high-resource consumption interconnection mode. After the high-power data collection is completed, the second mode switching instruction is sent to enable the corresponding device to return from the high-resource consumption interconnection mode to the low-power independent operation mode, and perform low-power data collection based on the low-power independent operation mode.

[0038] Specifically, each device in the system defaults to operating independently in the low-power independent operation mode, and only collects the data required for its core functions. When any device in the system determines that synchronous collection is required, for example, when a preset trigger condition satisfies the trigger mechanism, the entire system is triggered to start the synchronous collection mode, and the devices enter the interconnection and interoperability state. For example, a sphygmomanometer and an electrocardiogram device usually collect blood pressure and electrocardiogram data respectively, and only when a preset trigger condition triggers the trigger mechanism (such as a user initiating a measurement instruction or a certain biological index being abnormal), the sphygmomanometer and the electrocardiogram device achieve interconnection and interoperability, and device-to-device interaction is realized; at this time, under the indication of the mode switching instruction, some of the devices enter the high-resource consumption interconnection mode and perform corresponding high-power data collection. After the high-power data collection is completed, they return to the independent operation state, thus minimizing power consumption and extending the device battery life.

[0039] In an excellent embodiment provided by the present invention, the data acquisition and analysis system provided by the present invention is preferably used for biological information acquisition. For example, the data acquisition and analysis system provided by the present invention includes at least one device for biological information acquisition, and the data acquisition and analysis system provided by the present invention also includes at least one device for biological information data processing.

[0040] Furthermore, in the scenario where the data acquisition and analysis system provided by the present invention is used for biological information acquisition, it can be used for the acquisition of information such as electrocardiogram, blood oxygen, blood pressure, etc.; for example, for the data acquisition and analysis system provided by the present invention, among at least two interconnected devices, it at least includes one type of device among ECG devices (electrocardiogram acquisition devices, such as electrocardiogram recorders), PPG devices (blood oxygen acquisition devices, such as smart rings), and blood pressure acquisition devices.

[0041] In addition, for the data acquisition and analysis system provided by the present invention, in order to achieve the interconnection and interoperability between the required devices based on the trigger mechanism, among at least two devices for data interconnection and interoperability, at least one master device is included. The master device realizes the interconnection and interoperability between the required devices based on a wireless connection method (such as Bluetooth, Wi-Fi, etc.) in cooperation with the corresponding trigger mechanism. Further, the data acquisition and analysis system provided by the present invention may include intelligent devices supporting the master-slave integrated mode. The intelligent devices can be configured as the master device or other devices as needed to achieve the interconnection and interoperability between the required devices.

[0042] It should be noted that for achieving the interconnection and interoperability between devices based on the trigger mechanism, in order to improve the security of device interconnection, the data acquisition and analysis system provided by the present invention can complete the setting of the trigger mechanism through a custom communication protocol, thereby realizing the handshake and data transmission security between devices; before establishing communication between devices, the master device and other devices verify the device legitimacy through a preset key mechanism to prevent illegal devices from accessing the system.

[0043] For the setting of the trigger mechanism, the specific implementation method is as follows: Each device has a unique built-in key (such as "lifesense"); when the master device initiates a handshake, it sends a preset handshake password (such as "12345") and performs an exclusive OR operation with the key to obtain an encrypted password; after receiving the encrypted password, the slave device decrypts it using its own key. If the password obtained after decryption is the same as the preset value, the handshake is successful, otherwise the connection is refused. This protocol is both simple and efficient, and can ensure the security of the communication process, prevent the access of unauthorized devices, and at the same time ensure the reliability of data transmission.

[0044] In addition, it should also be noted that for the interconnection and interoperability between devices based on the trigger mechanism (configured with trigger adjustment), device scanning and communication between devices can be set. For example, any device in the system can initiate the device scanning and communication establishment process, and the master device and other devices perform identity verification and handshake to ensure device legitimacy; device time reference synchronization can also be set. For example, the master device sends a time synchronization instruction to other devices to ensure that all devices have the same time reference in synchronous acquisition; in addition, obtaining the data configuration table between devices can also be realized. For example, the master device reads the data configuration table of other devices to parse their data formats. The data configuration table defines the data format according to the functions and data characteristics of the devices. For example: Sphygmomanometer: The data format is `TTTAA`, indicating the timestamp and blood pressure data; Electrocardiogram device: The data format is `TTTBBB`, indicating the timestamp and electrocardiogram data; PPG device: The data format is `TTTCC`, indicating the timestamp and blood oxygen data.

[0045] In addition, regarding the interconnection and interoperability between devices, data synchronization and collection between devices can also be achieved. For example, the master device issues a synchronization collection instruction, and the slave device performs data collection and transmission according to the time reference; data transmission and processing between devices can also be achieved. For example, the master device receives the data transmitted by the slave device and performs formatting processing and integrated analysis; of course, communication disconnection between devices can also be achieved. For example, after the synchronization collection is completed, the master device notifies other devices to disconnect the connection, and each device resumes the independent operation state.

[0046] Furthermore, Figure 2 shows the process in the data optimization method provided by the embodiment of the present invention, where the smart ring is the device to be optimized and the sphygmomanometer is the reference device (where the sphygmomanometer is used as the master device and the smart ring is used as the slave device). Figure 2 As shown, in the initial state, the smart ring as the device to be optimized is worn on the actor. At this time, the smart ring is in the low-power independent operation mode (that is, the smart ring is in the conventional monitoring mode for monitoring the biological information of the actor); for the sphygmomanometer as the master device, after the sphygmomanometer is powered on, the sphygmomanometer sends a binding instruction to the smart ring, and the smart ring accepts the binding instruction to execute the link binding with the sphygmomanometer (the corresponding trigger mechanism satisfies the corresponding trigger adjustment), so as to achieve the successful binding between the sphygmomanometer and the smart ring, and further achieve the data interconnection and interoperability between the sphygmomanometer and the smart ring.

[0047] After the data interconnection and interoperability between the sphygmomanometer and the smart ring are successful, the sphygmomanometer as the master device sends a time reference synchronization instruction to the smart ring as the slave device, and the smart ring realizes time synchronization with the sphygmomanometer based on the time reference synchronization instruction.

[0048] After the smart ring and the sphygmomanometer complete time synchronization, the sphygmomanometer starts to measure the blood pressure of the actor and sends a mode switching instruction to the smart ring as the slave device to make the smart ring switch to the data collection mode (that is, the high-resource consumption interconnection mode); the smart ring performs corresponding high-power data collection on the actor based on the resource consumption interconnection mode and performs corresponding data recording.

[0049] After the smart ring completes the high-power data collection, the sphygmomanometer as the master device sends a mode switching instruction to the smart ring as the slave device to make the smart ring switch to the conventional monitoring mode (that is, resume to the low-power independent operation mode).

[0050] After the smart ring switches to the conventional monitoring mode, the sphygmomanometer transmits reference data to the smart ring. After the transmission of the reference data is completed, the sphygmomanometer issues a disconnection command to the smart ring to disconnect the interconnection and communication between the sphygmomanometer and the smart ring. Among them, after the sphygmomanometer transmits the reference data to the smart ring, the smart ring performs data analysis and processing based on the reference data to process its local data using the reference data to optimize the data to be optimized in its local data.

[0051] Through the above design, the data acquisition and analysis system and data optimization method provided by the present invention can achieve data interconnection and communication between multiple devices, effectively support the acquisition and optimization of multi-dimensional data, and meet the needs of diverse acquisition and analysis of biological information.

[0052] Compared with the prior art, the data acquisition and analysis system and data optimization method according to the present invention have the following beneficial effects:

[0053] The data acquisition and analysis system and data optimization method provided by the present invention can significantly improve the data accuracy and practicality of the data to be optimized by designing at least two interconnected devices and optimizing the data to be optimized in the device to be optimized based on the reference data in the parameter device; and by setting a trigger mechanism to control the interconnection and communication between at least two devices and realizing the switching between the low-power independent operation mode and the high-resource consumption interconnection mode of the devices in the interconnection and communication state, the power of the entire data acquisition and analysis system can be effectively reduced, and the device resource utilization rate of the entire data acquisition and analysis system can be improved.

[0054] As described above with reference to Figure 1 And Figure 2 The data acquisition and analysis system and data optimization method according to the present invention are described by way of example. However, those skilled in the art should understand that various improvements can be made to the data acquisition and analysis system and data optimization method proposed by the present invention without departing from the content of the present invention. Therefore, the protection scope of the present invention should be determined by the content of the appended claims.

Claims

1. A data acquisition and analysis system, characterized in that, Comprising: At least two devices; Wherein, when the triggering mechanism meets the preset triggering condition, interconnection and interoperability are achieved among at least two of the devices; and, Among the at least two devices in interconnection and interoperability, at least one device to be optimized is used to collect data to form local data; and obtain reference data of other reference devices, and process the local data by using the reference data to optimize the data to be optimized in the local data.

2. The data acquisition and analysis system according to claim 1, wherein Among the at least two devices in data interconnection and interoperability, at least one device is used to send a mode switching instruction to other devices interconnected with it, so that the corresponding device enters a preset working mode corresponding to the mode switching instruction; wherein, the preset working mode includes a low-power independent operation mode and a high-resource consumption interconnection mode.

3. The data acquisition and analysis system according to claim 2, wherein Among the at least two devices in data interconnection and interoperability, at least one device is used to send the mode switching instruction to other devices interconnected with it at least twice; So that the corresponding device first enters the high-resource consumption interconnection mode and then resumes to the low-power independent operation mode.

4. The data acquisition and analysis system according to any one of claims 1 to 3, wherein It includes at least one device for biometric information collection.

5. The data acquisition and analysis system according to claim 4, wherein It includes at least one device for biometric information data processing.

6. The data acquisition and analysis system according to claim 5, wherein Among the at least two devices in interconnection and interoperability, it includes at least one type of device among an ECG device, a PPG device, and a blood pressure collection device.

7. The data acquisition and analysis system according to claim 6, wherein Among the at least two devices in data interconnection and interoperability, it includes at least one master device.

8. The data acquisition and analysis system according to claim 7, wherein It includes an intelligent device supporting a master-slave integrated mode, and the intelligent device can be configured as the master device or other devices.

9. A data optimization method, characterized in that, The data optimization method optimizes the data of the device to be optimized based on the data acquisition and analysis system according to any one of claims 1 to 8, and the data optimization method includes: Among the at least two devices in interconnection and interoperability, the device to be optimized obtains the reference data of the reference device, and processes its local data by using the reference data to optimize the data to be optimized in the local data.

10. The data optimization method according to claim 9, wherein The reference device interconnected with the device to be optimized is configured as the master device; and, before the device to be optimized obtains the reference data of the reference device, it further includes: The reference device sends a mode switching instruction to the device to be optimized, so that the device to be optimized is converted from the low-power independent operation mode to the high-resource consumption interconnection mode; The device to be optimized performs high-power consumption data collection based on the high-resource consumption interconnection mode; After the high-power consumption data collection of the device to be optimized is completed, the reference device sends a mode switching instruction to the device to be optimized, so that the device to be optimized is switched from the high-resource consumption intercommunication mode to the low-power consumption independent operation mode.

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