Fall positioning early warning method, system and terminal

Abstract

The invention relates to a fall positioning early warning method, system and terminal, and relates to the technical field of health monitoring, and the method comprises the steps: obtaining real-time monitoring information detected by a detection device preset on an old people auxiliary device; calling equipment type information, monitoring parameter values and equipment position points based on the real-time monitoring information; determining a parameter reference interval according to the equipment type information and the equipment position point; when the monitoring parameter value does not fall into the parameter reference interval, calculating a difference value between the monitoring parameter value and the parameter reference interval and taking the difference value as a parameter deviation value; and determining falling early warning information according to the parameter deviation value and the equipment position point, and outputting monitoring early warning information to a terminal held by a nurse. The device has the effect of conveniently and timely rescuing the falling of the old people.

Description

Technical Field

[0001] The present invention relates to the technical field of health monitoring, and in particular to a fall location warning method, system and terminal. Background Art

[0002] Health monitoring refers to the process of continuously or regularly collecting, analyzing and evaluating an individual's physiological, psychological or behavioral data through technical means in order to understand their health status, detect abnormalities in a timely manner and provide early warning or intervention measures.

[0003] With the acceleration of social aging, the number of elderly people is increasing, and falls are an important cause of disability among the elderly. In order to protect the health of the elderly, medical staff are generally used to take care of the elderly, so that they can be treated and rescued in time after they suffer accidental injuries such as falls and sudden illnesses.

[0004] Due to the treatment of falls in the elderly, currently they are generally cared for by medical staff, which requires a large number of professional medical staff, and it is not easy to monitor each elderly person in real time, which makes it inconvenient to rescue the elderly in time. Summary of the invention

[0005] In order to provide timely and convenient assistance to elderly people who fall, the present invention provides a fall location warning method, system and terminal.

[0006] In a first aspect, the present invention provides a fall location warning method, which adopts the following technical solution: A fall location warning method, comprising: Obtaining real-time monitoring information detected by detection equipment preset on the elderly assistive device; Retrieve equipment type information, monitoring parameter values ​​and equipment location points based on real-time monitoring information; Determine the parameter reference range based on the equipment type information and equipment location points; When the monitored parameter value does not fall within the parameter reference interval, the difference between the monitored parameter value and the parameter reference interval is calculated and used as the parameter deviation value; The fall warning information is determined based on the parameter deviation value and the equipment location point, and the monitoring warning information is output to the terminal held by the caregiver.

[0007] Optionally, the method for determining the parameter reference interval includes: According to the correspondence between the device type information and the preset device type reference interval, the device type reference interval corresponding to the device type information is determined; Determine whether the device location point is within the preset care reference range; If yes, obtain the caregiver's location point; Determine the care impact value based on the caregiver location point and the equipment location point; Adjusting the equipment category reference interval based on the nursing impact value to form a nursing impact adjustment interval, and using the nursing impact adjustment interval as the parameter reference interval; If not, retrieve the location surrounding environment information based on the device location point; Determine the surrounding environment impact value based on the location surrounding environment information; The equipment type reference interval is adjusted based on the surrounding environment impact value to form an environment impact adjustment interval, and the environment impact adjustment interval is used as the parameter reference interval.

[0008] Optionally, the method for determining the nursing impact value includes: Calculate the distance between the caregiver's location point and the device's location point and use it as the caregiver's distance value; Determine whether the caregiver distance value is less than the preset care reference distance value; If yes, then determine the care distance impact value corresponding to the caregiver distance value according to the correspondence between the caregiver distance value and the preset care distance impact value, and use the care distance impact value as the care impact value; If not, the difference between the caregiver distance value and the care baseline distance value is calculated and used as the care distance deviation value; According to the correspondence between the nursing distance deviation value and the preset nursing distance deviation impact value, the nursing distance deviation impact value corresponding to the nursing distance deviation value is determined; Calculate the quotient between the care distance deviation value and the care baseline distance value and use it as the care isolation value; According to the correspondence between the nursing isolation number value and the preset nursing isolation number impact value, the nursing isolation number impact value corresponding to the nursing isolation number value is determined; The sum of the impact value of the care distance deviation and the impact value of the number of care isolations is calculated and used as the comprehensive impact value of the care deviation, and the comprehensive impact value of the care deviation is used as the care impact value.

[0009] Optionally, the method for determining the surrounding environment impact value includes: Retrieve environmental flatness and environmental type information based on the location surrounding environmental information; According to the correspondence between the environment type information and the preset environment type impact value, the environment type impact value corresponding to the environment type information is determined; The leveling impact value is determined based on the leveling of the environment and the preset leveling reference interval. The sum of the leveling impact value and the environmental type impact value is calculated and used as the comprehensive impact value, and the comprehensive impact value is used as the surrounding environment impact value.

[0010] Optionally, the method for determining the leveling impact value includes: According to the corresponding relationship between the environmental flatness and the preset flatness reference influence value, the flatness reference influence value corresponding to the environmental flatness is determined; Determine whether the environmental flatness is within a preset flatness reference interval; If yes, the leveling benchmark impact value is used as the leveling impact value; If not, the difference between the environmental flatness and the flat reference interval is calculated and used as the flat deviation value; According to the corresponding relationship between the leveling deviation value and the preset leveling deviation influence value, the leveling deviation influence value corresponding to the leveling deviation value is determined; The sum of the leveling benchmark impact value and the leveling deviation impact value is calculated and used as the leveling adjustment impact value, and the leveling adjustment impact value is used as the leveling impact value.

[0011] Optionally, the method for determining the fall warning information includes: Retrieve the deviation duration value based on the parameter deviation value; The continuous reference time value is determined according to the location of the equipment and the preset reference range of care; Determine whether the deviation duration value is less than the duration reference time value; If yes, the preset benchmark warning information is output as fall warning information; If not, the parameter deviation comprehensive warning information is determined according to the parameter deviation value and the deviation duration value; According to the correspondence between the device location point and the preset location warning information, the location warning information corresponding to the device location point is determined; The parameter deviation comprehensive warning information is combined with the position warning information and used as the comprehensive fall warning information, and the comprehensive fall warning information is used as the fall warning information.

[0012] Optionally, a method for determining comprehensive warning information of parameter deviation includes: Performing curve analysis based on the parameter deviation value and the deviation duration value to form a parameter deviation curve; According to the correspondence between the equipment type information and the preset equipment type benchmark deviation curve, a equipment type benchmark deviation curve corresponding to the equipment type information is determined; Analyze the overlap between the parameter deviation curve and the equipment type benchmark deviation curve to form the curve overlap ratio; Determine whether the curve overlap rate is greater than a preset curve reference overlap rate; If yes, then according to the correspondence between the parameter deviation value and the preset parameter deviation warning information, the parameter deviation warning information corresponding to the parameter deviation value is determined; According to the correspondence between the deviation duration value and the preset deviation duration warning information, the deviation duration warning information corresponding to the deviation duration value is determined, and the parameter deviation warning information and the deviation duration warning information are combined as the parameter deviation comprehensive warning information; If not, analyzing the deviation between the parameter deviation curve and the equipment type benchmark deviation curve to form curve deviation information; Curve deviation warning information is determined based on the curve deviation information, and the curve deviation warning information is used as parameter deviation comprehensive warning information.

[0013] Optionally, a method for determining curve deviation warning information includes: Retrieving the curve deviation position and the curve deviation degree value based on the curve deviation information; Based on the relative position between the curve deviation position and the preset curve overall position, a deviation relative position reference value is formed; According to the correspondence between the deviation relative position reference value and the preset relative position warning type information, the relative position warning type information corresponding to the deviation relative position reference value is determined; According to the correspondence between the curve deviation degree value and the preset deviation degree warning type information, the deviation degree warning type information corresponding to the curve deviation degree value is determined; Based on the consistency between the relative position warning type information and the deviation degree warning type information, comprehensive warning type information is selected; According to the correspondence between the comprehensive warning type information and the preset curve deviation comprehensive warning information, the curve deviation comprehensive warning information corresponding to the comprehensive warning type information is determined, and the curve deviation comprehensive warning information is used as the curve deviation warning information.

[0014] In a second aspect, the present invention provides a fall location warning system, which adopts the following technical solution: A fall location warning system, comprising: Acquisition module, used to obtain real-time monitoring information and caregiver location points; A memory, used to store a program of the fall location warning method according to any one of claims 1 to 8; The processor loads and executes the program in the memory.

[0015] In a third aspect, the present invention provides an intelligent terminal, which adopts the following technical solution: An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the fall location warning method according to any one of claims 1 to 8.

[0016] In summary, the present invention includes at least one of the following beneficial technical effects: 1. By acquiring real-time monitoring information and retrieving equipment type information, monitoring parameter values ​​and equipment location points, the parameter reference interval is determined by the equipment type information and equipment location points, and when the monitoring parameter value does not fall into the parameter reference interval, the parameter deviation value is calculated, and then the fall warning information is determined by the parameter deviation value and the equipment location point, and the monitoring warning information is output to the terminal held by the caregiver, so as to timely warn the elderly of falling, and facilitate timely rescue of the elderly; 2. Determine the equipment type benchmark interval by querying the equipment type information, and adjust the equipment type benchmark interval by the care impact value or the surrounding environment impact value to form an environmental impact adjustment interval based on the judgment result of whether the equipment location point is located within the preset care benchmark range, and use the environmental impact adjustment interval as the parameter benchmark interval, thereby improving the accuracy of the obtained parameter benchmark interval; 3. The deviation duration value is retrieved through the parameter deviation value, and the continuous benchmark time value is determined by the falling situation of the equipment location point and the preset care benchmark range, and then a judgment is made as to whether the deviation duration value is less than the continuous benchmark time value. When it is less than, the preset benchmark warning information is output and used as the fall warning information. When it is not less than, the parameter deviation comprehensive warning information is determined through the parameter deviation value and the deviation duration value, and the position warning information is determined by querying the equipment location point, and then the parameter deviation comprehensive warning information is combined with the position warning information as the comprehensive fall warning information, and the comprehensive fall warning information is used as the fall warning information, thereby improving the accuracy of the acquired fall warning information. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of a method for fall location warning according to an embodiment of the present application; Figure 2 is a flow chart of a method for determining a parameter reference interval according to an embodiment of the present application; Figure 3 is a flow chart of a method for determining a nursing impact value in an embodiment of the present application; Figure 4 is a flow chart of a method for determining a surrounding environment impact value according to an embodiment of the present application; Figure 5 is a flow chart of a method for determining a leveling influence value in an embodiment of the present application; Figure 6 is a flow chart of a method for determining fall warning information in an embodiment of the present application; Figure 7 It is a flow chart of a method for determining comprehensive warning information of parameter deviation according to an embodiment of the present application. DETAILED DESCRIPTION

[0018] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0019] A fall location warning method obtains real-time monitoring information and the location of caregivers, thereby analyzing the monitoring parameters according to the different types of equipment corresponding to the real-time monitoring information and the location of the equipment, and when the monitored parameters are abnormal, the caregivers are warned, thereby facilitating timely rescue of the elderly who fall.

[0020] Reference Figure 1 The embodiment of the present invention discloses a fall location warning method, which includes: Step S100: obtaining real-time monitoring information detected by a detection device preset on the elderly assistance device.

[0021] Among them, real-time monitoring information refers to information such as the type, location, and detection parameters corresponding to the use of elderly assistive devices by the elderly. Elderly assistive devices refer to crutches, walkers, wheelchairs and other devices that assist the elderly in walking. Detection equipment refers to equipment used to detect the use status of elderly assistive devices. For example, when the elderly assistive device is a crutch, the detection equipment may be a horizontal tilt sensor. When the elderly assistive device is a walker, the detection equipment may be a hand grip sensor. When the elderly assistive device is a wheelchair, the detection equipment may be a gravity fall sensor.

[0022] Step S101: Retrieve equipment type information, monitoring parameter values ​​and equipment location points based on real-time monitoring information.

[0023] Among them, real-time monitoring information includes equipment type information, monitoring parameter values ​​and equipment location points. Equipment type information refers to the type information of the detection equipment, monitoring parameter values ​​refer to the parameter values ​​detected by the detection equipment, and equipment location points refer to the location points where the detection equipment is located. The equipment type information, monitoring parameter values ​​and equipment location points are retrieved through real-time monitoring information to facilitate subsequent use.

[0024] Step S102: Determine a parameter reference interval according to the device type information and the device location point.

[0025] The parameter reference interval refers to the reference interval that the parameters of the type of detection device should be in when the elderly use it normally. The parameter reference interval is determined by analyzing the device type information and device location points to facilitate subsequent use. The specific steps for determining the parameter reference interval refer to steps S200 to S207.

[0026] Step S103: When the monitoring parameter value does not fall within the parameter reference interval, the difference between the monitoring parameter value and the parameter reference interval is calculated and used as the parameter deviation value.

[0027] The parameter deviation value refers to the deviation value corresponding to the deviation of the parameter detected by the detection device. When the monitored parameter value does not fall into the parameter reference interval, it means that the elderly person's walking is abnormal at this time. Therefore, the difference between the monitored parameter value and the parameter reference interval is calculated and used as the parameter deviation value for subsequent use.

[0028] When the monitoring parameter value falls into the parameter reference interval, it means that the elderly person is walking normally at this time, so the real-time monitoring information continues to be obtained.

[0029] Step S104: Determine the fall warning information according to the parameter deviation value and the equipment location point, and output the monitoring warning information to the terminal held by the caregiver.

[0030] Among them, the fall warning information refers to the warning information used to warn the elderly of falls, and the terminal held by the caregiver refers to the terminal that the caregiver can receive information, and the terminal held by the caregiver can be a mobile phone. By analyzing the parameter deviation value and the device location point, the fall warning information is determined, and the monitoring warning information is output to the terminal held by the caregiver, so as to facilitate timely rescue of the elderly who fall.

[0031] exist Figure 1 In step S102 shown in the figure, in order to further ensure the rationality of the parameter reference interval, it is necessary to further analyze and calculate the parameter reference interval separately, specifically by Figure 2 The steps shown are explained in detail.

[0032] Reference Figure 2 , the method for determining the parameter reference interval includes the following steps: Step S200: determining a device type reference interval corresponding to the device type information according to a correspondence between the device type information and a preset device type reference interval.

[0033] The equipment type reference interval refers to the reference interval that the parameters of the type of detection equipment need to be in. Different equipment type information corresponds to different equipment type reference intervals. The equipment type reference interval is obtained by querying from a database storing different equipment type information and corresponding equipment type reference intervals. The database is obtained after pre-input. The equipment type reference interval is determined by querying the equipment type information to facilitate subsequent use.

[0034] Step S201: Determine whether the device location point is within the preset care reference range. If yes, execute step S202; if no, execute step S205.

[0035] The care reference range refers to the reference range for the caregiver to care for the elderly, and the care reference range is obtained after pre-input. By judging whether the device location point is within the preset care reference range, it is judged whether the elderly is within the care range of the caregiver.

[0036] Step S202: Obtain the caregiver's location point.

[0037] The caregiver's location point refers to the location point of the caregiver at the current time, and the caregiver's location point is obtained by detecting the location sensor preset on the terminal held by the caregiver. When the device location point is within the preset care reference range, it means that the elderly person is within the care range of the caregiver at this time, so the caregiver's location point is obtained.

[0038] Step S203: determining the care impact value according to the caregiver position point and the equipment position point.

[0039] The care impact value refers to the degree of influence of the distance between the caregiver and the elderly on the interval in which the detection parameter needs to be located. The care impact value is determined by analyzing the caregiver's position point and the device's position point, which is convenient for subsequent use. The specific steps for determining the care impact value refer to steps S300 to S307.

[0040] Step S204: adjusting the equipment type reference interval based on the care impact value to form a care impact adjustment interval, and using the care impact adjustment interval as the parameter reference interval.

[0041] Among them, the nursing impact adjustment interval refers to the interval after the benchmark interval is adjusted according to the interval distance of the caregivers. The nursing impact value is used to multiply the two end values ​​of the equipment type benchmark interval, and the product result is used as the new interval end value, thereby forming the nursing impact adjustment interval, and the nursing impact adjustment interval is used as the parameter benchmark interval to improve the accuracy of the obtained parameter benchmark interval.

[0042] Step S205: Retrieve location surrounding environment information based on the device location point.

[0043] Among them, the location surrounding environment information refers to the type and flatness information of the surrounding environment where the elderly are located. The preset surrounding environment database is queried through the device location point to determine the location surrounding environment information corresponding to the location. The surrounding environment database pre-stores different device location points and the corresponding location surrounding environment information.

[0044] When the device location point is not within the preset care reference range, it means that the elderly person is not within the care range of the caregiver at this time, so the location surrounding environment information is adjusted through the device location point to facilitate subsequent use.

[0045] Step S206: Determine the surrounding environment impact value according to the location surrounding environment information.

[0046] The surrounding environment impact value refers to the impact degree of the surrounding environment on the interval where the detection parameter needs to be located. The surrounding environment impact value is determined by analyzing the surrounding environment information of the location, which is convenient for subsequent use. The specific steps for determining the surrounding environment impact value refer to steps S400 to S403.

[0047] Step S207: adjusting the equipment type reference interval based on the surrounding environment impact value to form an environment impact adjustment interval, and using the environment impact adjustment interval as the parameter reference interval.

[0048] Among them, the environmental impact adjustment interval refers to the interval after the benchmark interval is adjusted according to the location and environment of the elderly. The two end values ​​of the equipment type benchmark interval are multiplied by the surrounding environmental impact value, and the product result is used as the new interval end value, thereby forming the environmental impact adjustment interval, and the environmental impact adjustment interval is used as the parameter benchmark interval to improve the accuracy of the obtained parameter benchmark interval.

[0049] exist Figure 2 In step S203, in order to further ensure the rationality of the nursing impact value, it is necessary to further analyze and calculate the nursing impact value. Figure 3 The steps shown are explained in detail.

[0050] Reference Figure 3 , the method for determining the nursing impact value includes the following steps: Step S300: Calculate the distance between the caregiver's location point and the device's location point and use it as the caregiver's distance value.

[0051] Among them, the caregiver distance value refers to the distance value between the caregiver and the elderly. The distance between the caregiver's location point and the device location point is calculated and used as the caregiver distance value for convenience in subsequent use.

[0052] Step S301: Determine whether the caregiver distance value is less than a preset care reference distance value. If yes, execute step S302; if no, execute step S303.

[0053] The care reference distance value refers to the maximum distance value when the caregiver and the elderly are in the same room, and the care reference distance value is obtained after pre-input. By judging whether the caregiver distance value is less than the preset care reference distance value, it is judged whether the elderly is too far away from the caregiver.

[0054] Step S302: determining a care distance impact value corresponding to the caregiver distance value according to a correspondence between the caregiver distance value and a preset care distance impact value, and using the care distance impact value as the care impact value.

[0055] Among them, the care distance impact value refers to the impact degree value of the care distance. Different caregiver distance values ​​correspond to different care distance impact values. The care distance impact value is obtained by querying from a database storing different caregiver distance values ​​and corresponding care distance impact values, and the database is obtained after pre-input. When the caregiver distance value is less than the preset care benchmark distance value, it means that the distance between the elderly and the caregiver is not too far at this time. Therefore, the care distance impact value is determined by querying the caregiver distance value, and the care distance impact value is used as the care impact value to improve the accuracy of the obtained care impact value.

[0056] Step S303: Calculate the difference between the caregiver distance value and the care reference distance value and use it as the care distance deviation value.

[0057] Among them, the care distance deviation value refers to the deviation value corresponding to the deviation in the distance between the caregiver and the elderly. When the caregiver distance value is not less than the preset care benchmark distance value, it means that the distance between the elderly and the caregiver is too far. Therefore, the difference between the caregiver distance value and the care benchmark distance value is calculated and used as the care distance deviation value for subsequent use.

[0058] Step S304: determining a nursing distance deviation impact value corresponding to the nursing distance deviation value according to a correspondence between the nursing distance deviation value and a preset nursing distance deviation impact value.

[0059] Among them, the nursing distance deviation impact value refers to the impact degree value of the deviation distance when there is a deviation in the nursing distance. Different nursing distance deviation values ​​correspond to different nursing distance deviation impact values. The nursing distance deviation impact value is obtained by querying from a database storing different nursing distance deviation values ​​and corresponding nursing distance deviation impact values. The database is obtained after pre-input. The nursing distance deviation impact value is determined by querying the nursing distance deviation value, which is convenient for subsequent use.

[0060] Step S305: Calculate the quotient between the nursing distance deviation value and the nursing reference distance value and use it as the nursing isolation value.

[0061] Among them, the nursing isolation individual value refers to the number of rooms between the caregiver and the elderly. The quotient between the nursing distance deviation value and the nursing benchmark distance value is calculated and used as the nursing isolation individual value for subsequent use.

[0062] Step S306: Determine the nursing isolation number impact value corresponding to the nursing isolation number value according to the correspondence between the nursing isolation number value and the preset nursing isolation number impact value.

[0063] Among them, the impact value of the number of nursing isolation refers to the impact value caused by the number of rooms between the caregiver and the elderly. Different nursing isolation values ​​correspond to different nursing isolation impact values. The nursing isolation impact value is obtained by querying from a database storing different nursing isolation values ​​and corresponding nursing isolation impact values. The database is obtained after pre-input. The nursing isolation impact value is determined by querying the nursing isolation value, which is convenient for subsequent use.

[0064] Step S307: Calculate the sum of the care distance deviation impact value and the care isolation number impact value and use it as the care deviation comprehensive impact value, and use the care deviation comprehensive impact value as the care impact value.

[0065] Among them, the comprehensive impact value of care deviation refers to the comprehensive impact degree value of the deviation distance and the number of separated rooms when the care distance deviates. The sum of the impact value of the care distance deviation and the impact value of the number of care isolations is calculated and used as the comprehensive impact value of care deviation, and the comprehensive impact value of care deviation is used as the care impact value, thereby improving the accuracy of the obtained care impact value.

[0066] exist Figure 2 In step S206, in order to further ensure the rationality of the surrounding environment impact value, it is necessary to further analyze and calculate the surrounding environment impact value. Figure 4 The steps shown are explained in detail.

[0067] Reference Figure 4 , the method for determining the surrounding environmental impact value includes the following steps: Step S400: Retrieve environmental flatness and environmental type information based on the location surrounding environmental information.

[0068] The location surrounding environment information includes environment flatness and environment type information. Environment flatness refers to the flatness of the ground where the elderly are located, and environment type information refers to the type of environment where the elderly are located. The environment flatness and environment type information are retrieved through the location surrounding environment information to facilitate subsequent use.

[0069] Step S401: determining an environment type impact value corresponding to the environment type information according to a correspondence between the environment type information and a preset environment type impact value.

[0070] The environmental category impact value refers to the impact degree value generated by the environmental category. Different environmental category information corresponds to different environmental category impact values. The environmental category impact value is obtained by querying from a database storing environmental category information and corresponding environmental category impact values. The database is obtained after pre-input. The environmental category impact value is determined by querying the environmental category information to facilitate subsequent use.

[0071] Step S402: Determine a leveling impact value according to whether the environmental leveling falls within a preset leveling reference interval.

[0072] Among them, the flatness reference interval refers to the reference interval corresponding to the flatness that does not affect the walking of the elderly, and the flatness reference interval is obtained after pre-input. The flatness impact value refers to the impact degree value of the ground flatness where the elderly are located. By analyzing the fall of the environmental flatness and the preset flatness reference interval, the flatness impact value is determined to facilitate subsequent use.

[0073] Step S403: Calculate the sum of the leveling impact value and the environment type impact value and use it as a comprehensive impact value, and use the comprehensive impact value as the surrounding environment impact value.

[0074] Among them, the comprehensive impact value refers to the comprehensive impact degree value caused by the flatness of the ground where the elderly are located and the type of environment. The sum of the flatness impact value and the environment type impact value is calculated as the comprehensive impact value, and the comprehensive impact value is used as the surrounding environment impact value to improve the accuracy of the obtained surrounding environment impact value.

[0075] exist Figure 4 In step S402, in order to further ensure the rationality of the leveling influence value, it is necessary to further analyze and calculate the leveling influence value. Figure 5 The steps shown are explained in detail.

[0076] Reference Figure 5 , the method for determining the leveling impact value includes the following steps: Step S500: determining a flatness reference influence value corresponding to the environmental flatness according to a correspondence between the environmental flatness and a preset flatness reference influence value.

[0077] The leveling benchmark impact value refers to the benchmark impact value generated by the environmental flatness. Different environmental flatnesses correspond to different leveling benchmark impact values. The leveling benchmark impact value is obtained by querying from a database storing environmental flatnesses and corresponding leveling benchmark impact values. The database is obtained after pre-input. The leveling benchmark impact value is determined by querying the environmental flatness to facilitate subsequent use.

[0078] Step S501: Determine whether the environmental flatness is within a preset flatness reference interval. If yes, execute step S502; if no, execute step S503.

[0079] Among them, by judging whether the flatness of the environment is within the preset flatness reference interval, it is determined whether the flatness of the location where the elderly are located will affect their walking.

[0080] Step S502: taking the leveling reference influence value as the leveling influence value.

[0081] Among them, when the environmental flatness is within the preset flatness reference interval, it means that the flatness of the elderly's location at this time will not affect their walking, so the flatness reference impact value is used as the flatness impact value, thereby improving the accuracy of the obtained flatness impact value.

[0082] Step S503: Calculate the difference between the environmental flatness and the flatness reference interval and use it as the flatness deviation value.

[0083] Among them, the flatness deviation value refers to the deviation value when there is a deviation in flatness. When the environmental flatness is not within the preset flatness reference interval, it means that the flatness of the elderly’s location at this time will affect their walking. Therefore, the difference between the environmental flatness and the flatness reference interval is calculated and used as the flatness deviation value for subsequent use.

[0084] Step S504: determining the leveling deviation influence value corresponding to the leveling deviation value according to the corresponding relationship between the leveling deviation value and the preset leveling deviation influence value.

[0085] Among them, the leveling deviation impact value refers to the impact degree value on the leveling benchmark impact value when there is a deviation in the flatness. Different leveling deviation values ​​correspond to different leveling deviation impact values. The leveling deviation impact value is obtained by querying from a database storing different leveling deviation values ​​and corresponding leveling deviation impact values. The database is obtained after pre-input. The leveling deviation impact value is determined by querying the leveling deviation value to facilitate subsequent use.

[0086] Step S505: Calculate the sum of the leveling reference influence value and the leveling deviation influence value and use it as the leveling adjustment influence value, and use the leveling adjustment influence value as the leveling influence value.

[0087] Among them, the leveling adjustment impact value refers to the impact degree value after adjusting the impact degree caused by the deviation of flatness. The accuracy of the obtained leveling impact value is improved by calculating the sum of the leveling benchmark impact value and the leveling deviation impact value and using the leveling adjustment impact value as the leveling impact value.

[0088] exist Figure 1In step S104, in order to further ensure the rationality of the fall warning information, it is necessary to further analyze and calculate the fall warning information separately, specifically by Figure 6 The steps shown are explained in detail.

[0089] Reference Figure 6 , the method for determining the fall warning information includes the following steps: Step S600: Retrieve the deviation duration value based on the parameter deviation value.

[0090] The deviation duration value refers to the time value corresponding to the continuous deviation when the parameter has a deviation. The deviation duration value is obtained by timing and retrieving the duration of the parameter deviation value, which is convenient for subsequent use.

[0091] Step S601: Determine a continuous reference time value according to whether the device location point falls within a preset reference range of care.

[0092] Among them, the continuous reference time value refers to the minimum time value that is allowed to continue when there is a deviation. By analyzing the falling situation of the equipment location point and the preset care reference range, when the equipment location point falls into the preset care reference range, the preset care reference time value is output and used as the continuous reference time value. When the equipment location point does not fall into the preset care reference range, the preset away reference time value is output and used as the continuous reference time value. The care reference time value refers to the minimum time value that is allowed to continue when the caregiver is caring, and the care reference time value is obtained after pre-input. The away reference time value refers to the minimum time value that is allowed to continue when the caregiver is away, and the away reference time value is obtained after pre-input.

[0093] Step S602: Determine whether the deviation duration value is less than the duration reference value. If yes, execute step S603; if no, execute step S604.

[0094] Here, whether the deviation lasts for a long time is determined by judging whether the deviation lasts for a shorter time than the reference time.

[0095] Step S603: output the preset reference warning information as fall warning information.

[0096] Among them, the benchmark warning information refers to the warning information of short-term deviation, and the benchmark warning information is obtained after pre-input. When the deviation duration value is less than the continuous benchmark time value, it means that there is no long-term deviation at this time, so the preset benchmark warning information is output and used as the fall warning information, thereby improving the accuracy of the obtained fall warning information.

[0097] Step S604: Determine parameter deviation comprehensive warning information according to the parameter deviation value and the deviation duration value.

[0098] Among them, the parameter deviation comprehensive warning information refers to the comprehensive warning information for warning when there is a deviation in the parameter. When the deviation duration value is not less than the continuous reference time value, it means that there is a long-term deviation at this time. Therefore, by analyzing the parameter deviation value and the deviation duration value, the parameter deviation comprehensive warning information is determined to facilitate subsequent use. The specific determination steps of the parameter deviation comprehensive warning information refer to steps S700 to S707.

[0099] Step S605: determining the location warning information corresponding to the device location point according to the correspondence between the device location point and the preset location warning information.

[0100] Among them, the location warning information refers to the warning information for warning the location of the elderly. Different device location points correspond to different location warning information. The location warning information is obtained by querying from a database storing different device location points and corresponding location warning information. The database is obtained after pre-input. The location warning information is determined by querying the device location point to facilitate subsequent use.

[0101] Step S606: The parameter deviation comprehensive warning information is combined with the position warning information to be used as comprehensive fall warning information, and the comprehensive fall warning information is used as fall warning information.

[0102] Among them, comprehensive fall warning information refers to warning information that provides comprehensive warning of falls. The accuracy of the acquired fall warning information is improved by combining the comprehensive warning information of parameter deviation with the position warning information and using the comprehensive warning information of falls as fall warning information.

[0103] exist Figure 6 In step S604, in order to further ensure the rationality of the parameter deviation comprehensive warning information, it is necessary to further analyze and calculate the parameter deviation comprehensive warning information separately, specifically by Figure 7 The steps shown are explained in detail.

[0104] Reference Figure 7 , the method for determining the comprehensive warning information of parameter deviation includes the following steps: Step S700: Performing a curve analysis based on the parameter deviation value and the deviation duration value to form a parameter deviation curve.

[0105] The parameter deviation curve refers to the curve corresponding to the time variation of the parameter deviation. The curve is analyzed based on the parameter deviation value and the deviation duration value, and the formed curve is used as the parameter deviation curve for subsequent use.

[0106] Step S701: determining a device type reference deviation curve corresponding to the device type information according to a correspondence between the device type information and a preset device type reference deviation curve.

[0107] The device type reference deviation curve refers to the reference deviation curve corresponding to the type of fall of the detection device. Different device type information corresponds to different device type reference deviation curves. The device type reference deviation curve is obtained by querying from a database storing different device type information and corresponding device type reference deviation curves. The database is obtained after pre-input. The device type reference deviation curve is determined by querying the device type information to facilitate subsequent use.

[0108] Step S702: Analyze the overlap between the parameter deviation curve and the equipment type reference deviation curve to form a curve overlap ratio.

[0109] The curve overlap rate refers to the overlap rate when the curves overlap. The overlap between the parameter deviation curve and the equipment type benchmark deviation curve is analyzed, and the overlap ratio is used as the curve overlap rate for subsequent use.

[0110] Step S703: Determine whether the curve overlap rate is greater than a preset curve reference overlap rate. If yes, execute step S704; if no, execute step S706.

[0111] The curve reference coincidence rate refers to the minimum coincidence rate corresponding to the curve being generally consistent, and the curve reference coincidence rate is obtained after pre-input. By judging whether the curve coincidence rate is greater than the preset curve reference coincidence rate, it is judged whether the curve is generally consistent.

[0112] Step S704: Determine parameter deviation warning information corresponding to the parameter deviation value according to the corresponding relationship between the parameter deviation value and the preset parameter deviation warning information.

[0113] Among them, parameter deviation warning information refers to the warning information corresponding to the deviation parameter when there is a deviation in the parameter. Different parameter deviation values ​​correspond to different parameter deviation warning information. The parameter deviation warning information is obtained by querying from a database storing different parameter deviation values ​​and corresponding parameter deviation warning information. The database is obtained after pre-input. When the curve overlap rate is greater than the preset curve reference overlap rate, it means that the curves are generally consistent at this time. Therefore, the parameter deviation warning information is determined by querying the parameter deviation value, which is convenient for subsequent use.

[0114] Step S705: Determine the deviation duration warning information corresponding to the deviation duration value according to the correspondence between the deviation duration value and the preset deviation duration warning information, and combine the parameter deviation warning information with the deviation duration warning information as parameter deviation comprehensive warning information.

[0115] The deviation duration warning information refers to the warning information corresponding to the duration when the parameter has a deviation, and different deviation duration values ​​correspond to different deviation duration warning information. The deviation duration warning information is obtained by querying from a database storing different deviation duration values ​​and corresponding different deviation duration warning information, and the database is obtained after pre-input. The deviation duration warning information is determined by querying the deviation duration value, and the parameter deviation warning information is combined with the deviation duration warning information as the parameter deviation comprehensive warning information, thereby improving the accuracy of the obtained parameter deviation comprehensive warning information.

[0116] Step S706: Analyze the deviation between the parameter deviation curve and the equipment type reference deviation curve to form curve deviation information.

[0117] The curve deviation information refers to the deviation position and degree information corresponding to the curve deviation. When the curve overlap rate is not greater than the preset curve benchmark overlap rate, it means that the curve is generally inconsistent. Therefore, the deviation between the parameter deviation curve and the equipment type benchmark deviation curve is analyzed to form the curve deviation information for subsequent use.

[0118] Step S707: Determine curve deviation warning information according to the curve deviation information, and use the curve deviation warning information as parameter deviation comprehensive warning information.

[0119] The curve deviation warning information refers to the warning information for warning based on the deviation of the curve. The curve deviation warning information is determined by analyzing the curve deviation information, and the curve deviation warning information is used as the parameter deviation comprehensive warning information to improve the accuracy of the obtained parameter deviation comprehensive warning information. The specific steps for determining the curve deviation warning information refer to steps S800 to S805.

[0120] exist Figure 7 In step S707 shown, in order to further ensure the rationality of the curve deviation warning information, it is necessary to perform further separate analysis and calculation on the curve deviation warning information, which is specifically described in detail through the following steps.

[0121] The method for determining the curve deviation warning information includes the following steps: Step S800: Retrieving the curve deviation position and the curve deviation degree value based on the curve deviation information.

[0122] The curve deviation information includes the curve deviation position and the curve deviation degree value. The curve deviation position refers to the position on the curve corresponding to the curve when the curve has a deviation, and the curve deviation degree value refers to the degree value corresponding to the curve when the curve has a deviation. The curve deviation position and the curve deviation degree value are retrieved through the curve deviation information for subsequent use.

[0123] Step S801: forming a deviation relative position reference value based on the relative position between the curve deviation position and the preset curve overall position.

[0124] Among them, the overall position of the curve refers to the overall position corresponding to the curve, and the overall position of the curve is obtained after pre-input. The deviation relative position reference value refers to the relative reference value on the curve when the deviation exists. By analyzing the relative position between the curve deviation position and the preset overall position of the curve, and querying the reference database based on the relative position to determine the deviation relative position reference value, it is convenient for subsequent use. The reference database pre-stores different relative positions and the corresponding deviation relative position reference values.

[0125] Step S802: Determine the relative position warning type information corresponding to the deviation relative position reference value according to the correspondence between the deviation relative position reference value and the preset relative position warning type information.

[0126] The relative position warning type information refers to the type information corresponding to the warning based on the deviation relative position reference value. Different deviation relative position reference values ​​correspond to different relative position warning type information. The relative position warning type information is obtained by querying from a database storing different deviation relative position reference values ​​and corresponding relative position warning type information. The database is obtained after pre-input. The relative position warning type information is determined by querying the deviation relative position reference value to facilitate subsequent use.

[0127] Step S803: According to the correspondence between the curve deviation degree value and the preset deviation degree warning type information, the deviation degree warning type information corresponding to the curve deviation degree value is determined.

[0128] The deviation degree warning type information refers to the type information corresponding to the warning according to the curve deviation degree value. Different curve deviation degree values ​​correspond to different deviation degree warning type information. The deviation degree warning type information is obtained by querying from a database storing different curve deviation degree values ​​and corresponding deviation degree warning type information. The database is obtained after pre-input. The deviation degree warning type information is determined by querying the curve deviation degree value to facilitate subsequent use.

[0129] Step S804: Based on the consistency between the relative position warning type information and the deviation degree warning type information, comprehensive warning type information is selected.

[0130] Among them, the comprehensive warning type information refers to the comprehensive type information corresponding to the warning. The consistency between the relative position warning type information and the deviation degree warning type information is analyzed, and the consistent types are used as the comprehensive warning type information for subsequent use.

[0131] Step S805: According to the correspondence between the comprehensive warning type information and the preset curve deviation comprehensive warning information, the curve deviation comprehensive warning information corresponding to the comprehensive warning type information is determined, and the curve deviation comprehensive warning information is used as the curve deviation warning information.

[0132] Among them, the curve deviation comprehensive warning information refers to the comprehensive warning information for warning when the curve deviates, and different comprehensive warning type information corresponds to different curve deviation comprehensive warning information. The curve deviation comprehensive warning information is obtained by querying from a database storing different comprehensive warning type information and corresponding curve deviation comprehensive warning information, and the database is obtained after pre-input. The curve deviation comprehensive warning information is determined by querying the comprehensive warning type information, and the curve deviation comprehensive warning information is used as the curve deviation warning information, thereby improving the accuracy of the obtained curve deviation warning information.

[0133] Based on the same inventive concept, an embodiment of the present invention provides a fall location warning system, including: Acquisition module, used to obtain real-time monitoring information and caregiver location points; A memory, used to store a program of the above-mentioned fall location warning method; The processor loads and executes the program in the memory.

[0134] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the above-mentioned fall location warning method.

[0135] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0136] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A fall location warning method, characterized in that: include: Obtaining real-time monitoring information detected by detection equipment preset on the elderly assistive device; Retrieve equipment type information, monitoring parameter values ​​and equipment location points based on real-time monitoring information; Determine the parameter reference range based on the equipment type information and equipment location points; When the monitored parameter value does not fall within the parameter reference interval, the difference between the monitored parameter value and the parameter reference interval is calculated and used as the parameter deviation value; The fall warning information is determined based on the parameter deviation value and the equipment location point, and the monitoring warning information is output to the terminal held by the caregiver.

2. The fall location warning method according to claim 1, characterized in that: Methods for determining parameter reference intervals include: According to the correspondence between the device type information and the preset device type reference interval, the device type reference interval corresponding to the device type information is determined; Determine whether the device location point is within the preset care reference range; If yes, obtain the caregiver's location point; Determine the care impact value based on the caregiver location point and the equipment location point; Adjusting the equipment category reference interval based on the nursing impact value to form a nursing impact adjustment interval, and using the nursing impact adjustment interval as the parameter reference interval; If not, retrieve the location surrounding environment information based on the device location point; Determine the surrounding environment impact value based on the location surrounding environment information; The equipment type reference interval is adjusted based on the surrounding environment impact value to form an environment impact adjustment interval, and the environment impact adjustment interval is used as the parameter reference interval.

3. The fall location warning method according to claim 2, characterized in that: The methods for determining the care impact value include: Calculate the distance between the caregiver's location point and the device's location point and use it as the caregiver's distance value; Determine whether the caregiver distance value is less than the preset care reference distance value; If yes, then determine the care distance impact value corresponding to the caregiver distance value according to the correspondence between the caregiver distance value and the preset care distance impact value, and use the care distance impact value as the care impact value; If not, the difference between the caregiver distance value and the care baseline distance value is calculated and used as the care distance deviation value; According to the correspondence between the nursing distance deviation value and the preset nursing distance deviation impact value, the nursing distance deviation impact value corresponding to the nursing distance deviation value is determined; Calculate the quotient between the care distance deviation value and the care baseline distance value and use it as the care isolation value; According to the correspondence between the nursing isolation number value and the preset nursing isolation number impact value, the nursing isolation number impact value corresponding to the nursing isolation number value is determined; The sum of the impact value of the care distance deviation and the impact value of the number of care isolations is calculated and used as the comprehensive impact value of the care deviation, and the comprehensive impact value of the care deviation is used as the care impact value.

4. The fall location warning method according to claim 2, characterized in that: The methods for determining the surrounding environmental impact value include: Retrieve environmental flatness and environmental type information based on the location surrounding environmental information; According to the correspondence between the environment type information and the preset environment type impact value, the environment type impact value corresponding to the environment type information is determined; The leveling impact value is determined based on the leveling of the environment and the preset leveling reference interval. The sum of the leveling impact value and the environmental type impact value is calculated and used as the comprehensive impact value, and the comprehensive impact value is used as the surrounding environment impact value.

5. The fall location warning method according to claim 4, characterized in that: The methods for determining the leveling impact value include: According to the corresponding relationship between the environmental flatness and the preset flatness reference influence value, the flatness reference influence value corresponding to the environmental flatness is determined; Determine whether the environmental flatness is within a preset flatness reference interval; If yes, the leveling benchmark impact value is used as the leveling impact value; If not, the difference between the environmental flatness and the flat reference interval is calculated and used as the flat deviation value; According to the corresponding relationship between the leveling deviation value and the preset leveling deviation influence value, the leveling deviation influence value corresponding to the leveling deviation value is determined; The sum of the leveling benchmark impact value and the leveling deviation impact value is calculated and used as the leveling adjustment impact value, and the leveling adjustment impact value is used as the leveling impact value.

6. The fall location warning method according to claim 2, characterized in that: Methods for determining fall warning information include: Retrieve the deviation duration value based on the parameter deviation value; The continuous reference time value is determined according to the location of the equipment and the preset reference range of care; Determine whether the deviation duration value is less than the duration reference time value; If yes, the preset benchmark warning information is output as fall warning information; If not, the parameter deviation comprehensive warning information is determined according to the parameter deviation value and the deviation duration value; According to the correspondence between the device location point and the preset location warning information, the location warning information corresponding to the device location point is determined; The parameter deviation comprehensive warning information is combined with the position warning information and used as the comprehensive fall warning information, and the comprehensive fall warning information is used as the fall warning information.

7. The fall location warning method according to claim 6, characterized in that: The method for determining the comprehensive warning information of parameter deviation includes: Performing curve analysis based on the parameter deviation value and the deviation duration value to form a parameter deviation curve; According to the correspondence between the equipment type information and the preset equipment type benchmark deviation curve, a equipment type benchmark deviation curve corresponding to the equipment type information is determined; Analyze the overlap between the parameter deviation curve and the equipment type benchmark deviation curve to form the curve overlap ratio; Determine whether the curve overlap rate is greater than a preset curve reference overlap rate; If yes, then according to the correspondence between the parameter deviation value and the preset parameter deviation warning information, the parameter deviation warning information corresponding to the parameter deviation value is determined; According to the correspondence between the deviation duration value and the preset deviation duration warning information, the deviation duration warning information corresponding to the deviation duration value is determined, and the parameter deviation warning information and the deviation duration warning information are combined as the parameter deviation comprehensive warning information; If not, analyzing the deviation between the parameter deviation curve and the equipment type benchmark deviation curve to form curve deviation information; Curve deviation warning information is determined based on the curve deviation information, and the curve deviation warning information is used as parameter deviation comprehensive warning information.

8. The fall location warning method according to claim 7, characterized in that: The method for determining the curve deviation warning information includes: Retrieving the curve deviation position and the curve deviation degree value based on the curve deviation information; Based on the relative position between the curve deviation position and the preset curve overall position, a deviation relative position reference value is formed; According to the correspondence between the deviation relative position reference value and the preset relative position warning type information, the relative position warning type information corresponding to the deviation relative position reference value is determined; According to the correspondence between the curve deviation degree value and the preset deviation degree warning type information, the deviation degree warning type information corresponding to the curve deviation degree value is determined; Based on the consistency between the relative position warning type information and the deviation degree warning type information, comprehensive warning type information is selected; According to the correspondence between the comprehensive warning type information and the preset curve deviation comprehensive warning information, the curve deviation comprehensive warning information corresponding to the comprehensive warning type information is determined, and the curve deviation comprehensive warning information is used as the curve deviation warning information.

9. A fall location warning system, characterized in that: include: Acquisition module, used to obtain real-time monitoring information and caregiver location points; A memory, used to store a program of the fall location warning method according to any one of claims 1 to 8; The processor loads and executes the program in the memory.

10. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes the fall location warning method according to any one of claims 1 to 8.

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