Endurance management method, device and equipment of blood pressure simulator and medium

Abstract

The invention relates to an endurance management method, device and equipment of a blood pressure simulator and a medium, which are applied to the technical field of data processing, and the method comprises the following steps: acquiring battery information, use information and working information of a target blood pressure simulator; determining the endurance state of the target blood pressure simulator based on the battery information and the use information; estimating the endurance duration of the target blood pressure simulator based on the endurance state and the working information, and generating predicted endurance duration; acquiring historical use information and equipment model information of the target blood pressure simulator; screening the historical use information based on the equipment model information, the endurance state and the working information, and determining target historical information; and generating an endurance management scheme based on the endurance state, the predicted endurance duration and the target historical information. The blood pressure simulator has the effect of prolonging the endurance time of the blood pressure simulator.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a method, apparatus, device and medium for managing the battery life of a blood pressure simulator. Background Technology

[0002] Blood pressure simulators are an important research tool widely used in the fields of medicine, engineering, and biological sciences. The core function of a blood pressure simulator is to simulate real human blood pressure fluctuations. By simulating different blood pressure states, it provides researchers with a safe and controllable experimental environment, helping them quickly obtain accurate data for experimental analysis.

[0003] Although blood pressure simulators are indispensable in medical research and equipment calibration, their short battery life makes them prone to power outages during use, which can disrupt current work. Therefore, improving the battery life of blood pressure simulators has become a key issue. Summary of the Invention

[0004] To improve the battery life of a blood pressure simulator, this application provides a method, apparatus, device, and medium for managing the battery life of a blood pressure simulator.

[0005] In a first aspect, this application provides a method for managing the battery life of a blood pressure simulator, employing the following technical solution:

[0006] A method for managing the battery life of a blood pressure simulator, comprising:

[0007] Obtain battery information, usage information, and operational information of the target blood pressure simulator;

[0008] The battery life status of the target blood pressure simulator is determined based on the battery information and the usage information;

[0009] Based on the battery status and the working information, the battery life of the target blood pressure simulator is estimated to generate the expected battery life.

[0010] Obtain historical usage information and the device model information of the target blood pressure simulator;

[0011] Based on the device model information, the battery life status, and the working information, the historical usage information is filtered to determine the target historical information;

[0012] A range management scheme is generated based on the battery status, the estimated battery life, and the target historical information.

[0013] By adopting the above technical solution, the battery life status of the target blood pressure simulator is determined based on its battery information, usage information, and working information. Then, the expected battery life is predicted using the battery life status and working information to determine the actual battery life of the target blood pressure simulator. Subsequently, historical usage data is filtered using device model information, battery life status, and working information to obtain target historical information. Using historical information, battery life status, expected battery life, and target historical information, a battery life management plan is formulated, that is, the most suitable battery life management plan for the target blood pressure simulator is formulated to improve the battery life of the target blood pressure simulator while ensuring its normal operation.

[0014] Optionally, determining the battery life status of the target blood pressure simulator based on the battery information and the usage information includes:

[0015] The battery information is extracted to determine battery usage data and original battery data;

[0016] Data is extracted from the usage information to determine the total usage time and the duration of each single usage session;

[0017] Battery range loss data is generated based on the battery usage data and the original battery data;

[0018] The battery life loss data is adjusted based on the total usage time to generate the final loss data;

[0019] The battery life status is generated based on the original battery data, the single-use data, and the final wear data.

[0020] Optionally, estimating the battery life of the target blood pressure simulator based on the battery status and the working information to generate the expected battery life includes:

[0021] The work information is scored based on preset scoring rules to generate work scoring results;

[0022] Based on the work scoring results, the battery life status is adjusted to generate an adjusted battery life status.

[0023] Based on the work scoring results and the adjusted battery life status, a work simulation was performed to obtain the work simulation results.

[0024] The estimated battery life is generated based on the simulation results.

[0025] Optionally, the step of filtering the historical usage information based on the device model information, the battery life status, and the working information to determine the target historical information includes:

[0026] Based on the historical usage information, historical work data and historical equipment models are determined;

[0027] Based on the device model information and the historical device model, the historical usage information is filtered to obtain the historical usage information to be used;

[0028] Based on the work information and the historical work data, the historical usage information is filtered to generate target historical information.

[0029] Optionally, the step of generating a range management scheme based on the battery status, the estimated battery life, and the target historical information includes:

[0030] A projected work plan is generated based on the target's historical usage information and the work information.

[0031] A target long-endurance work plan is generated based on the expected work schedule and the expected battery life.

[0032] A range replenishment plan is generated based on the battery status, the expected battery duration, and the target high-range working scheme.

[0033] A range management scheme is generated based on the range replenishment plan and the target high range working scheme.

[0034] Optionally, after generating the range management scheme based on the range status, the estimated range duration, and the target historical information, the method further includes:

[0035] The battery life management scheme was tested, and test data was generated.

[0036] Obtain the test judgment rules, score the test data of the scheme based on the implementation judgment rules, and generate a scheme score;

[0037] Determine whether the score of the proposed solution is not less than a preset score threshold;

[0038] If the score of the proposed solution is not less than a preset score threshold, then battery life management is performed based on the proposed battery life management solution.

[0039] If the score of the proposed solution is less than a preset score threshold, the battery life management solution will be adjusted based on the test data of the proposed solution.

[0040] Optionally, after performing battery life management based on the battery life management scheme, the method further includes:

[0041] Obtain the solution management database;

[0042] The battery life management scheme and the scheme test data are stored in the scheme management database.

[0043] Secondly, this application provides a power management device for a blood pressure simulator, which adopts the following technical solution:

[0044] A power management device for a blood pressure simulator, comprising:

[0045] The instrument information acquisition module is used to acquire the battery information, usage information, and working information of the target blood pressure simulator;

[0046] A battery life status determination module is used to determine the battery life status of the target blood pressure simulator based on the battery information and the usage information;

[0047] The estimated duration generation module is used to estimate the battery life of the target blood pressure simulator based on the battery life status and the working information, and generate the estimated battery life.

[0048] The historical information acquisition module is used to acquire historical usage information and the device model information of the target blood pressure simulator.

[0049] The target information determination module is used to filter the historical usage information based on the device model information, the battery status, and the working information to determine the target historical information;

[0050] The management scheme generation module is used to generate a range management scheme based on the range status, the expected range duration, and the target historical information.

[0051] By adopting the above technical solution, the battery life status of the target blood pressure simulator is determined based on its battery information, usage information, and working information. Then, the expected battery life is predicted using the battery life status and working information to determine the actual battery life of the target blood pressure simulator. Subsequently, historical usage data is filtered using device model information, battery life status, and working information to obtain target historical information. Using historical information, battery life status, expected battery life, and target historical information, a battery life management plan is formulated, that is, the most suitable battery life management plan for the target blood pressure simulator is formulated to improve the battery life of the target blood pressure simulator while ensuring its normal operation.

[0052] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0053] An electronic device includes a processor coupled to a memory;

[0054] The processor is configured to execute a computer program stored in the memory, such that the electronic device executes the computer program of the power management method for the blood pressure simulator according to any one of the first aspects.

[0055] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0056] A computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the power management method of the blood pressure simulator according to any one of the first aspects.

[0057] In summary, this application includes at least one of the following beneficial technical effects:

[0058] 1. Determine the battery life of the target blood pressure simulator based on its battery information, usage information, and operational information. Then, predict the expected battery life using the battery life and operational information to determine the actual battery life of the target blood pressure simulator. Next, filter historical usage data using device model information, battery life, and operational information to obtain target historical information. Use the historical information, battery life, expected battery life, and target historical information to formulate a battery life management plan, that is, formulate the most suitable battery life management plan for the target blood pressure simulator to improve the battery life of the target blood pressure simulator while ensuring its normal operation. Attached Figure Description

[0059] Figure 1 This is a flowchart illustrating a method for managing the battery life of a blood pressure simulator provided in an embodiment of this application.

[0060] Figure 2 This is a structural block diagram of a power management device for a blood pressure simulator provided in an embodiment of this application.

[0061] Figure 3 This is a structural block diagram of the power management device for the blood pressure simulator provided in the embodiments of this application. Detailed Implementation

[0062] The present application will be further described in detail below with reference to the accompanying drawings.

[0063] This application provides a method for managing the battery life of a blood pressure simulator. This method can be executed by an electronic device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet computer, desktop computer, etc., but is not limited to these.

[0064] Figure 1 This is a flowchart illustrating a method for managing the battery life of a blood pressure simulator, as provided in an embodiment of this application.

[0065] like Figure 1As shown, the main process of this method is described below (steps S101 to S104):

[0066] Step S101: Obtain the battery information, usage information, and operating information of the target blood pressure simulator.

[0067] In this embodiment, the battery information of the target blood pressure simulator includes the battery model and battery capacity, the usage information includes the first use time, the duration of a single use, and the total usage time, and the working information includes the working environment and main working content.

[0068] Step S102: Determine the battery life status of the target blood pressure simulator based on battery information and usage information.

[0069] For step S102, battery information is extracted to determine battery usage data and original battery data; usage information is extracted to determine total usage time and single usage time; battery range loss data is generated based on battery usage data and original battery data; battery range loss data is adjusted based on total usage time to generate final loss data; and battery range status is generated based on original battery data, single usage data, and final loss data.

[0070] In this embodiment, since both battery information and usage information are comprehensive, the demand data needs to be filtered to extract battery information, obtaining battery usage data and original battery data, namely the current and original battery capacity. Usage information is also extracted to determine the total usage time of the target blood pressure simulator from start to finish and the duration of each single use. By calculating the difference between battery usage data and original battery data, battery life loss data can be obtained. This data is then adjusted using the total usage time; specifically, based on a preset time-loss correspondence table, hidden loss data is identified for that total usage time. This hidden loss data is used to adjust the battery life loss data, resulting in final loss data. The final loss data is then converted to battery capacity using a preset conversion formula. A first battery life state is obtained by calculating the difference based on the original battery data. The number of uses is calculated based on the first battery life state and the single-use data. The calculated data is then bound together to obtain the battery life state. It should be noted that the preset time loss table and preset conversion formula need to be set according to actual needs, and no specific restrictions are made here.

[0071] Step S103: Estimate the battery life of the target blood pressure simulator based on the battery status and working information, and generate the expected battery life.

[0072] For step S103, the work information is scored based on preset scoring rules to generate a work score result; the battery life status is adjusted based on the work score result to generate an adjusted battery life status; a work simulation is performed based on the work score result and the adjusted battery life status to obtain a work simulation result; and the expected battery life is generated based on the work simulation result.

[0073] In this embodiment, the preset scoring rules are a table containing multiple work information items and corresponding scores. The work information is matched against the preset scoring rules, and the scores of the matched data are added together to obtain the work scoring result. A score threshold is set. If the score of the work scoring result is greater than the score threshold, it indicates overloaded battery life; if the score of the work scoring result is less than or equal to the score threshold, it indicates normal battery life. If it is determined to be overloaded battery life, an adjustment value is determined according to the preset adjustment table and score. The adjustment value is used to adjust the battery life status, generating an adjusted battery life status. A work simulation is performed using the work scoring result and the adjusted battery life status, i.e., simulating actual work conditions, to obtain a work simulation result. The working time of the simulated work result is rounded to obtain the expected battery life. When rounding, decimals are rounded up; for example, four hours and thirty-one minutes will be rounded to four hours and thirty minutes. It should be noted that the specific rounding method needs to be set according to actual work requirements and is not specifically limited here.

[0074] Step S104: Obtain historical usage information and device model information of the target blood pressure simulator.

[0075] In this embodiment, the historical usage information includes the historical usage information of all blood pressure simulators in the current area, not just the historical usage information of the target blood pressure simulator. The device model information includes the device batch and device model of the target blood pressure simulator.

[0076] Step S105: Based on device model information, battery life status, and working information, filter historical usage information to determine target historical information.

[0077] For step S105, historical work data and historical equipment models are determined based on historical usage information; historical usage information is filtered based on equipment model information and historical equipment models to obtain historical information to be used; historical usage information is filtered based on work information and historical work data to generate target historical information.

[0078] In this embodiment, after obtaining all historical usage information, it is necessary to further filter the historical usage information. First, a first round of filtering is carried out based on the device model, that is, the device model information in the historical usage information is matched with the historical device model to obtain the historical information to be used. Then, a second round of filtering is carried out in the obtained historical information to be used, selecting the data in the historical information to be used that matches the historical work data and work information, and using the filtered data as the target historical information.

[0079] Step S106: Generate a range management plan based on the range status, estimated range duration, and target historical information.

[0080] For step S106, a projected work plan is generated based on the target's historical usage information and work information; a target long-range work plan is generated based on the projected work plan and projected battery life; a battery life supplementation plan is generated based on battery life status, projected battery life, and the target long-range work plan; and a battery life management plan is generated based on the battery life supplementation plan and the target long-range work plan.

[0081] In this embodiment, the target's historical usage information is analyzed to identify historical work data with long battery life. Data integration is performed based on work information and historical work data, summarizing and analyzing historical work data from multiple target historical usage information sets. A projected work plan is generated by combining this with the work information. This projected work plan is a summary of multiple long-battery-life work scenarios, which initially ensures that the target blood pressure simulator can operate for a longer period under the given work information. The projected work plan is then bound to the projected battery life to generate a target high-battery-life work plan. After generating the target high-battery-life work plan, it is adjusted again using the battery life status and projected battery life. Specifically, a preset adjustment table is used to determine the impact of the battery life status and projected battery life on the actual battery life, thereby adjusting the target high-battery-life work plan to obtain a battery life replenishment plan. The battery life replenishment plan is bound to the target high-battery-life work plan, and the usage preferences of staff are obtained. The usage priorities of the battery life replenishment plan and the target high-battery-life work plan are set to obtain a battery life management plan.

[0082] In this embodiment, the battery life management scheme is tested to generate scheme test data; test judgment rules are obtained, and the scheme test data is scored based on the implementation judgment rules to generate a scheme score; it is determined whether the scheme score is not less than a preset score threshold; if the scheme score is not less than the preset score threshold, battery life management is performed based on the battery life management scheme; if the scheme score is less than the preset score threshold, the battery life management scheme is adjusted based on the scheme test data.

[0083] After obtaining the range management plan, actual tests are conducted according to the plan to obtain test data. The test data is then scored using test judgment rules to obtain a plan score. Subsequently, the feasibility of the range management plan is judged using a preset score threshold and the plan score. If the plan score is greater than or equal to the preset score threshold, the range management plan will continue to be used for range management. If the plan score is less than the preset score threshold, the incompatible parts of the range management plan will be adjusted based on the test data. The specific adjustment method needs to be set according to the actual situation and is not specifically limited here.

[0084] In this embodiment, the solution management database is obtained; the battery life management solution and solution test data are stored in the solution management database.

[0085] After the experiment, in order to facilitate the direct use of the existing solution for battery life management in the event of the same situation, the battery life management solution and the solution test data were stored. When needed, the solution can be directly called from the solution management data.

[0086] Figure 2 This is a structural block diagram of a power management device 200 for a blood pressure simulator provided in the application embodiment.

[0087] like Figure 2 As shown, the power management device 200 of the blood pressure simulator mainly includes:

[0088] The instrument information acquisition module 201 is used to acquire the battery information, usage information and working information of the target blood pressure simulator;

[0089] The battery life determination module 202 is used to determine the battery life of the target blood pressure simulator based on battery information and usage information.

[0090] The estimated duration generation module 203 is used to estimate the battery life of the target blood pressure simulator based on the battery status and working information, and generate the estimated battery life.

[0091] The historical information acquisition module 204 is used to acquire historical usage information and the device model information of the target blood pressure simulator.

[0092] The target information determination module 205 is used to filter historical usage information based on device model information, battery status and working information to determine target historical information;

[0093] The management scheme generation module 206 is used to generate a range management scheme based on the range status, expected range duration and target historical information.

[0094] As an optional implementation of this embodiment, the battery life determination module 202 is specifically used to extract battery information data to determine battery usage data and original battery data; extract usage information data to determine total usage time and single usage time; generate battery life loss data based on battery usage data and original battery data; adjust the battery life loss data based on the total usage time to generate final loss data; and generate the battery life status based on the original battery data, single usage data, and final loss data.

[0095] As an optional implementation of this embodiment, the estimated duration generation module 203 is specifically used to score the work information based on preset scoring rules and generate a work scoring result; adjust the battery life status based on the work scoring result and generate an adjusted battery life status; perform a work simulation based on the work scoring result and the adjusted battery life status to obtain a work simulation result; and generate an estimated battery life based on the work simulation result.

[0096] As an optional implementation of this embodiment, the target information determination module 205 is specifically used to determine historical work data and historical equipment models based on historical usage information; filter historical usage information based on equipment model information and historical equipment models to obtain historical information to be used; and filter historical usage information based on work information and historical work data to generate target historical information.

[0097] As an optional implementation of this embodiment, the management scheme generation module 206 is specifically used to generate an expected work plan based on the target's historical usage information and work information; generate a target long-range work scheme based on the expected work plan and expected battery life; generate a battery life supplement plan based on battery life status, expected battery life, and the target long-range work scheme; and generate a battery life management scheme based on the battery life supplement plan and the target long-range work scheme.

[0098] As an optional implementation of this embodiment, the power management device 200 of the blood pressure simulator further includes:

[0099] The test data generation module is used to test the range management scheme and generate test data for the scheme;

[0100] The scheme data scoring module is used to obtain the test judgment rules, score the scheme test data based on the implementation of the judgment rules, and generate a scheme score;

[0101] The solution score judgment module is used to determine whether the solution score is not less than a preset score threshold;

[0102] The solution management application module is used for battery life management based on battery life management solutions.

[0103] The management scheme adjustment module is used to adjust the range management scheme based on scheme test data.

[0104] As an optional implementation of this embodiment, the power management device 200 of the blood pressure simulator further includes:

[0105] The storage acquisition module is used to acquire the solution management database;

[0106] The scheme data storage module is used to store the range management scheme and scheme test data into the scheme management database.

[0107] In one example, the module in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as one or more application-specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0108] For example, when modules in a device can be implemented via a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. Alternatively, these modules can be integrated together as a system-on-a-chip (SOC).

[0109] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described device and module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0110] Figure 3 This is a structural block diagram of the electronic device 300 provided in an embodiment of this application.

[0111] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302, and may further include one or more of an information input / output (I / O) interface 303, a communication component 304, and a communication bus 305.

[0112] The processor 301 controls the overall operation of the electronic device 300 to complete all or part of the steps of the aforementioned power management method for the blood pressure simulator. The memory 302 stores various types of data to support the operation of the electronic device 300. This data may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as one or more of Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0113] I / O interface 303 provides an interface between processor 301 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 304 is used for wired or wireless communication between electronic device 300 and other devices. Wireless communication includes Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 304 may include a Wi-Fi component, a Bluetooth component, and an NFC component.

[0114] The electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the power management method for the blood pressure simulator given in the above embodiments.

[0115] The communication bus 305 may include a path for transmitting information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0116] Electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers, and may also be servers.

[0117] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for managing the battery life of a blood pressure simulator.

[0118] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0119] 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 process, method, article, or apparatus.

[0120] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A method for managing the battery life of a blood pressure simulator, characterized in that, include: Obtain battery information, usage information, and operational information of the target blood pressure simulator; The battery life status of the target blood pressure simulator is determined based on the battery information and the usage information; Based on the battery status and the working information, the battery life of the target blood pressure simulator is estimated to generate the expected battery life. Obtain historical usage information and the device model information of the target blood pressure simulator; Based on the device model information, the battery life status, and the working information, the historical usage information is filtered to determine the target historical information; A range management scheme is generated based on the battery status, the estimated battery life, and the target historical information.

2. The method according to claim 1, characterized in that, Determining the battery life status of the target blood pressure simulator based on the battery information and the usage information includes: The battery information is extracted to determine battery usage data and original battery data; Data is extracted from the usage information to determine the total usage time and the duration of each single usage session; Battery range loss data is generated based on the battery usage data and the original battery data; The battery life loss data is adjusted based on the total usage time to generate the final loss data; The battery life status is generated based on the original battery data, the single-use data, and the final wear data.

3. The method according to claim 2, characterized in that, The process of estimating the battery life of the target blood pressure simulator based on the battery status and the operating information, and generating the estimated battery life, includes: The work information is scored based on preset scoring rules to generate work scoring results; Based on the work scoring results, the battery life status is adjusted to generate an adjusted battery life status. Based on the work scoring results and the adjusted battery life status, a work simulation was performed to obtain the work simulation results. The estimated battery life is generated based on the simulation results.

4. The method according to claim 1, characterized in that, The step of filtering the historical usage information based on the device model information, the battery life status, and the working information to determine the target historical information includes: Based on the historical usage information, historical work data and historical equipment models are determined; Based on the device model information and the historical device model, the historical usage information is filtered to obtain the historical usage information to be used; Based on the work information and the historical work data, the historical usage information is filtered to generate target historical information.

5. The method according to claim 1, characterized in that, The method for generating a range management scheme based on the range status, the estimated range duration, and the target historical information includes: A projected work plan is generated based on the target's historical usage information and the work information. A target long-endurance work plan is generated based on the expected work schedule and the expected battery life. A range replenishment plan is generated based on the battery status, the expected battery duration, and the target high-range working scheme. A range management scheme is generated based on the range replenishment plan and the target high range working scheme.

6. The method according to claim 5, characterized in that, After generating the range management scheme based on the range status, the estimated range duration, and the target historical information, the method further includes: The battery life management scheme was tested, and test data was generated. Obtain the test judgment rules, score the test data of the scheme based on the implementation judgment rules, and generate a scheme score; Determine whether the score of the proposed solution is not less than a preset score threshold; If the score of the proposed solution is not less than a preset score threshold, then battery life management is performed based on the proposed battery life management solution. If the score of the proposed solution is less than a preset score threshold, the battery life management solution will be adjusted based on the test data of the proposed solution.

7. The method according to claim 6, characterized in that, After performing battery life management based on the aforementioned battery life management scheme, the method further includes: Obtain the solution management database; The battery life management scheme and the scheme test data are stored in the scheme management database.

8. A power management device for a blood pressure simulator, characterized in that, include: The instrument information acquisition module is used to acquire the battery information, usage information, and working information of the target blood pressure simulator; A battery life status determination module is used to determine the battery life status of the target blood pressure simulator based on the battery information and the usage information; The estimated duration generation module is used to estimate the battery life of the target blood pressure simulator based on the battery life status and the working information, and generate the estimated battery life. The historical information acquisition module is used to acquire historical usage information and the device model information of the target blood pressure simulator. The target information determination module is used to filter the historical usage information based on the device model information, the battery status, and the working information to determine the target historical information; The management scheme generation module is used to generate a range management scheme based on the range status, the expected range duration, and the target historical information.

9. An electronic device, characterized in that, Includes a processor, which is coupled to a memory; The processor is configured to execute a computer program stored in the memory, causing the electronic device to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Includes a computer program or instructions that, when run on a computer, cause the computer to perform the method as described in any one of claims 1 to 7.

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