A fall location warning method, system and terminal

Abstract

The present invention relates to a fall location warning method, system and terminal, and relates to the field of health monitoring technology. The method comprises: obtaining real-time monitoring information detected by a detection device preset on an elderly auxiliary device; retrieving device type information, monitoring parameter values ​​and device location points based on the real-time monitoring information; determining a parameter reference interval based on the device type information and the device location points; when the monitoring parameter value does not fall within the parameter reference interval, calculating the difference between the monitoring parameter value and the parameter reference interval and using it as a parameter deviation value; determining fall warning information based on the parameter deviation value and the device location points, and outputting the monitoring warning information to a terminal held by a caregiver. The present invention has the effect of conveniently and promptly rescuing elderly people who have fallen.

Description

Technical Field

[0001] The present invention relates to the field of health monitoring technology, 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 to understand their health status, detect abnormalities in a timely manner and provide early warning or intervention measures.

[0003] With the acceleration of the aging of society, the number of elderly people is also increasing. Falls are a major cause of disability among the elderly. In order to protect the health of the elderly, medical staff are generally used to care for the elderly, so that they can be treated and rescued in a timely manner after they suffer accidental injuries such as falls and sudden illnesses.

[0004] At present, the treatment of falls of the elderly is generally carried out 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 facilitate and promptly rescue 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:

[0007] A fall location warning method, comprising:

[0008] Obtaining real-time monitoring information detected by detection equipment preset on elderly assistive devices;

[0009] Retrieve equipment type information, monitoring parameter values ​​and equipment location points based on real-time monitoring information;

[0010] Determine the parameter reference range based on the equipment type information and equipment location;

[0011] 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;

[0012] 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.

[0013] Optionally, a method for determining the parameter reference interval includes:

[0014] Determining a device type reference interval corresponding to the device type information based on a correspondence between the device type information and a preset device type reference interval;

[0015] Determine whether the device location is within the preset care reference range;

[0016] If yes, get the caregiver's location point;

[0017] Determine the care impact value based on the caregiver location point and the equipment location point;

[0018] Adjusting the equipment category benchmark interval based on the nursing impact value to form a nursing impact adjustment interval, and using the nursing impact adjustment interval as the parameter benchmark interval;

[0019] If not, retrieve the location surrounding environment information based on the device location point;

[0020] Determine the surrounding environment impact value based on the location surrounding environment information;

[0021] The equipment category 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.

[0022] Optionally, the method for determining the care impact value includes:

[0023] Calculate the distance between the caregiver's location point and the device's location point and use it as the caregiver's distance value;

[0024] Determine whether the caregiver distance value is less than the preset care reference distance value;

[0025] If yes, then determining 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 using the care distance impact value as the care impact value;

[0026] 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;

[0027] According to the corresponding relationship between the nursing distance deviation value and the preset nursing distance deviation impact value, a nursing distance deviation impact value corresponding to the nursing distance deviation value is determined;

[0028] Calculate the quotient between the care distance deviation value and the care baseline distance value and use it as the care isolation value;

[0029] According to the corresponding relationship between the number of nursing isolation values ​​and the preset nursing isolation number impact value, the nursing isolation number impact value corresponding to the nursing isolation number value is determined;

[0030] 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.

[0031] Optionally, the method for determining the surrounding environment impact value includes:

[0032] Retrieve environmental flatness and type information based on the location surrounding environment information;

[0033] Determining the environmental category impact value corresponding to the environmental category information according to the correspondence between the environmental category information and the preset environmental category impact value;

[0034] The leveling impact value is determined based on whether the environmental flatness falls within the preset leveling benchmark interval;

[0035] 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.

[0036] Optionally, the method for determining the leveling impact value includes:

[0037] 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;

[0038] Determine whether the environmental flatness is within a preset flatness reference range;

[0039] If yes, the leveling benchmark impact value is used as the leveling impact value;

[0040] If not, the difference between the environmental flatness and the flatness reference interval is calculated and used as the flatness deviation value;

[0041] 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;

[0042] 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.

[0043] Optionally, the method for determining fall warning information includes:

[0044] Retrieve the deviation duration value based on the parameter deviation value;

[0045] Determine the duration benchmark time value based on whether the equipment location falls within the preset care benchmark range;

[0046] Determine whether the deviation duration value is less than the duration reference time value;

[0047] If yes, the preset baseline warning information is output as fall warning information;

[0048] If not, the parameter deviation comprehensive warning information is determined based on the parameter deviation value and the deviation duration value;

[0049] 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;

[0050] 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.

[0051] Optionally, a method for determining comprehensive warning information of parameter deviation includes:

[0052] Performing curve analysis based on the parameter deviation value and the deviation duration value to form a parameter deviation curve;

[0053] Determining a device type reference deviation curve corresponding to the device type information based on a correspondence between the device type information and a preset device type reference deviation curve;

[0054] Analyze the overlap between the parameter deviation curve and the equipment type benchmark deviation curve to form the curve overlap ratio;

[0055] Determine whether the curve overlap rate is greater than a preset curve reference overlap rate;

[0056] 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;

[0057] 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;

[0058] If not, analyzing the deviation between the parameter deviation curve and the equipment type benchmark deviation curve to form curve deviation information;

[0059] 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.

[0060] Optionally, a method for determining curve deviation warning information includes:

[0061] Retrieving the curve deviation position and the curve deviation degree value based on the curve deviation information;

[0062] Based on the relative position between the curve deviation position and the preset curve overall position, a deviation relative position reference value is formed;

[0063] 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;

[0064] 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;

[0065] Based on the consistency between the relative position warning type information and the deviation degree warning type information, comprehensive warning type information is selected;

[0066] 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.

[0067] In a second aspect, the present invention provides a fall location warning system, which adopts the following technical solutions:

[0068] A fall location warning system, comprising:

[0069] Acquisition module, used to obtain real-time monitoring information and caregiver location points;

[0070] A memory for storing a program for a fall location warning method;

[0071] The processor loads and executes the program in the memory.

[0072] In a third aspect, the present invention provides an intelligent terminal, which adopts the following technical solution:

[0073] 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 a fall location warning method.

[0074] In summary, the present invention includes at least one of the following beneficial technical effects:

[0075] 1. By acquiring real-time monitoring information and retrieving device type information, monitoring parameter values, and device location points, the parameter reference interval is determined based on the device type information and device location points. When the monitoring parameter value does not fall within the parameter reference interval, the parameter deviation value is calculated. The parameter deviation value and device location points are then used to determine fall warning information, and the monitoring warning information is output to the terminal held by the caregiver, thereby providing timely warning of falls for the elderly and facilitating timely rescue of the elderly who have fallen;

[0076] 2. Determine the equipment type benchmark interval by querying the equipment type information. Based on the judgment result of whether the equipment location point is within the preset care benchmark range, adjust the equipment type benchmark interval by the care impact value or the surrounding environment impact value to form an environmental impact adjustment interval. The environmental impact adjustment interval is used as the parameter benchmark interval, thereby improving the accuracy of the obtained parameter benchmark interval.

[0077] 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 position 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 position point, and then the parameter deviation comprehensive warning information is combined with the position warning information and used as the fall comprehensive warning information, and the fall comprehensive warning information is used as the fall warning information, thereby improving the accuracy of the obtained fall warning information. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 This is a flow chart of the method for fall location warning according to an embodiment of the present application;

[0079] Figure 2 is a flow chart of a method for determining a parameter reference interval according to an embodiment of the present application;

[0080] Figure 3 is a flow chart of a method for determining a nursing impact value according to an embodiment of the present application;

[0081] Figure 4 is a flow chart of a method for determining the surrounding environment impact value according to an embodiment of the present application;

[0082] Figure 5 is a flow chart of a method for determining a leveling impact value according to an embodiment of the present application;

[0083] Figure 6 This is a flow chart of a method for determining fall warning information according to an embodiment of the present application;

[0084] Figure 7 This is a flow chart of a method for determining parameter deviation comprehensive warning information according to an embodiment of the present application. DETAILED DESCRIPTION

[0085] The present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0086] A fall location warning method obtains real-time monitoring information and the location of caregivers, analyzes the monitoring parameters based on the different types of equipment corresponding to the real-time monitoring information and the location of the equipment, and issues a warning to the caregiver when there is an abnormality in the monitored parameters, thereby facilitating timely rescue of the elderly who have fallen.

[0087] Reference Figure 1 , an embodiment of the present invention discloses a fall location warning method, which includes:

[0088] Step S100: obtaining real-time monitoring information detected by a detection device preset on the elderly assistive device.

[0089] The real-time monitoring information refers to information such as the type, location, and detection parameters of elderly assistive devices used by the elderly. Elderly assistive devices refer to devices such as crutches, walkers, and wheelchairs that assist the elderly in walking. The detection equipment refers to equipment used to detect the usage 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 grip sensor. When the elderly assistive device is a wheelchair, the detection equipment may be a gravity fall sensor.

[0090] Step S101: Retrieve device type information, monitoring parameter values, and device location points based on real-time monitoring information.

[0091] Real-time monitoring information includes device type information, monitoring parameter values, and device location. Device type information refers to the type of testing equipment, monitoring parameter values ​​refer to the parameter values ​​detected by the testing equipment, and device location refers to the location of the testing equipment. Real-time monitoring information allows you to retrieve device type information, monitoring parameter values, and device location for easy subsequent use.

[0092] Step S102: Determine a parameter reference interval based on the device type information and the device location point.

[0093] The parameter reference interval refers to the range of parameters that should be within when the device is used normally by the elderly. This interval is determined by analyzing the device type and location to facilitate subsequent use. For details on determining the parameter reference interval, see steps S200 to S207.

[0094] 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.

[0095] 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 within the parameter reference range, it indicates that the elderly person's walking is abnormal. Therefore, the difference between the monitored parameter value and the parameter reference range is calculated and used as the parameter deviation value for subsequent use.

[0096] 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.

[0097] Step S104: Determine fall warning information based on the parameter deviation value and the device location point, and output the monitoring warning information to the terminal held by the caregiver.

[0098] Fall warning information refers to warnings for elderly individuals who may fall. The caregiver's terminal, which can be a mobile phone, is a terminal that receives this information. By analyzing parameter deviations and device locations, fall warning information is determined and transmitted to the caregiver's terminal, facilitating timely assistance for elderly individuals who have fallen.

[0099] exist Figure 1 In step S102 shown in FIG, 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.

[0100] Reference Figure 2 , the method for determining the parameter reference interval includes the following steps:

[0101] 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.

[0102] The device type reference interval refers to the reference interval within which the parameters of the device type to be tested must fall. Different device type information corresponds to different device type reference intervals. The device type reference intervals are retrieved from a database that stores different device type information and corresponding device type reference intervals. This database is retrieved through pre-entry. Determining the device type reference interval through device type information query facilitates subsequent use.

[0103] Step S201: Determine whether the device location is within a preset care reference range. If yes, proceed to step S202; if no, proceed to step S205.

[0104] The care baseline range refers to the baseline range within which a caregiver provides care for an elderly person. This range is obtained through pre-input. The system determines whether the device's location is within the preset care baseline range, thereby determining whether the elderly person is within the caregiver's care range.

[0105] Step S202: Obtain the caregiver's location point.

[0106] The caregiver's location point refers to the caregiver's current location. This location point is detected by a location sensor pre-installed on the caregiver's device. When the device's location point is within the preset care baseline range, it indicates that the elderly person is within the caregiver's care range, and the caregiver's location point is acquired.

[0107] Step S203: determining a care impact value according to the caregiver location point and the equipment location point.

[0108] The care impact value refers to the degree to which the distance between the caregiver and the elderly person affects the required range of the detection parameter. By analyzing the caregiver's location and the device's location, the care impact value is determined for subsequent use. For the specific steps for determining the care impact value, refer to steps S300 to S307.

[0109] Step S204: adjusting the device 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.

[0110] 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 two end values ​​of the equipment type benchmark interval are multiplied by the nursing impact value, 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.

[0111] Step S205: Retrieve location surrounding environment information based on the device location point.

[0112] 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.

[0113] 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.

[0114] Step S206: Determine the surrounding environment impact value according to the location surrounding environment information.

[0115] The surrounding environment impact value refers to the degree of influence of the surrounding environment on the interval in which the detection parameter is required 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 are shown in steps S400 to S403.

[0116] Step S207: adjusting the device category 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.

[0117] 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.

[0118] exist Figure 2 In step S203, in order to further ensure the rationality of the care impact value, it is necessary to further analyze and calculate the care impact value. Figure 3 The steps shown are explained in detail.

[0119] Reference Figure 3 , the method for determining the nursing impact value includes the following steps:

[0120] 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.

[0121] 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 to facilitate subsequent use.

[0122] 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.

[0123] The care baseline distance value refers to the maximum distance between the caregiver and the elderly person in the same room. The care baseline distance value is obtained through pre-input. By determining whether the caregiver distance value is less than the preset care baseline distance value, it is determined whether the elderly person is too far away from the caregiver.

[0124] 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.

[0125] The care distance impact value refers to the degree of impact 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 that stores different caregiver distance values ​​and their corresponding care distance impact values. This database is obtained through pre-input. When the caregiver distance value is less than the preset care baseline distance value, it means that the distance between the elderly person and the caregiver is not too far. Therefore, the care distance impact value is determined by querying the caregiver distance value and used as the care impact value, improving the accuracy of the obtained care impact value.

[0126] 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.

[0127] 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 elderly and the caregiver are too far away at this time. 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.

[0128] Step S304: determining a care distance deviation impact value corresponding to the care distance deviation value according to a correspondence between the care distance deviation value and a preset care distance deviation impact value.

[0129] The care distance deviation impact value refers to the degree of impact caused by the deviation when the care distance deviates. Different care distance deviation values ​​correspond to different care distance deviation impact values. The care distance deviation impact value is obtained by querying from a database that stores different care distance deviation values ​​and corresponding care distance deviation impact values. The database is obtained after pre-input. The care distance deviation impact value is determined by querying the care distance deviation value to facilitate subsequent use.

[0130] Step S305: Calculate the quotient between the care distance deviation value and the care reference distance value and use it as the care isolation value.

[0131] 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 easy subsequent use.

[0132] 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.

[0133] The impact value of the number of rooms separating the caregiver and the elderly person is the impact of the number of rooms separating them. Different values ​​for the number of rooms separating the caregiver and the elderly person correspond to different impact values ​​for the number of rooms separating the caregiver and the elderly person. The impact value for the number of rooms separating the caregiver and the elderly person is obtained by querying a database that stores different values ​​for the number of rooms separating the caregiver and the elderly person. This database is obtained through pre-input. Determining the impact value for the number of rooms separating the caregiver and the elderly person by querying the value for the number of rooms separating the caregiver and the elderly person facilitates subsequent use.

[0134] 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.

[0135] Among them, the comprehensive impact value of care deviation refers to the comprehensive impact value of the deviation distance and the number of separated rooms when the care distance deviates. The sum of the care distance deviation impact value and the care isolation number impact value 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.

[0136] 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.

[0137] Reference Figure 4 , the method for determining the surrounding environmental impact value includes the following steps:

[0138] Step S400: Retrieve environmental flatness and environmental type information based on the location surrounding environment information.

[0139] The surrounding environment information includes the smoothness of the environment and the type of environment. The smoothness of the environment refers to the smoothness of the ground where the elderly person is located, while the type of environment refers to the type of environment where the elderly person is located. The smoothness and type of environment information can be retrieved using the surrounding environment information for easy subsequent use.

[0140] 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.

[0141] The environmental category impact value refers to the degree of impact caused by an environmental category. Different environmental category information corresponds to different environmental category impact values. The environmental category impact value is obtained by querying a database that stores environmental category information and corresponding environmental category impact values. This database is obtained through pre-input. Determining the environmental category impact value through environmental category information query facilitates subsequent use.

[0142] Step S402: determining a leveling impact value based on whether the environmental leveling falls within a preset leveling reference interval.

[0143] The "flatness reference interval" is the flatness range that does not affect elderly people's walking. This range is obtained through pre-entry. The "flatness impact value" is the impact of the surface flatness at the elderly's location. This value is determined by analyzing the flatness of the environment and the preset flatness reference interval, facilitating subsequent use.

[0144] Step S403: Calculate the sum of the leveling impact value and the environmental type impact value and use it as a comprehensive impact value, and use the comprehensive impact value as the surrounding environment impact value.

[0145] 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 and used 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.

[0146] exist Figure 4 In step S402, in order to further ensure the rationality of the leveling impact value, it is necessary to further analyze and calculate the leveling impact value. Figure 5 The steps shown are explained in detail.

[0147] Reference Figure 5 , the method for determining the leveling impact value includes the following steps:

[0148] Step S500: determining a leveling reference influence value corresponding to the environmental flatness according to a correspondence between the environmental flatness and a preset leveling reference influence value.

[0149] The leveling benchmark impact value refers to the benchmark impact degree of environmental flatness. Different environmental flatnesses correspond to different leveling benchmark impact values. The leveling benchmark impact value is obtained by querying a database that stores environmental flatnesses and corresponding leveling benchmark impact values. This database is obtained through pre-input. Determining the leveling benchmark impact value through the environmental flatness query facilitates subsequent use.

[0150] Step S501: Determine whether the environmental flatness is within a preset flatness reference range. If yes, proceed to step S502; if no, proceed to step S503.

[0151] Among them, by judging whether the flatness of the environment is within the preset flatness reference range, it is determined whether the flatness of the location where the elderly are located will affect their walking.

[0152] Step S502: using the leveling reference impact value as the leveling impact value.

[0153] Among them, when the environmental flatness is within the preset flatness reference range, 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.

[0154] Step S503: Calculate the difference between the environmental flatness and the flatness reference interval and use it as the flatness deviation value.

[0155] 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.

[0156] Step S504: determining a leveling deviation influence value corresponding to the leveling deviation value according to a correspondence between the leveling deviation value and a preset leveling deviation influence value.

[0157] The leveling deviation impact value refers to the degree of impact on the leveling benchmark impact value when a flatness deviation exists. Different leveling deviation values ​​correspond to different leveling deviation impact values. The leveling deviation impact value is obtained by querying from a database that stores different leveling deviation values ​​and their corresponding leveling deviation impact values. This database is obtained through pre-input. Determining the leveling deviation impact value through the leveling deviation value query facilitates subsequent use.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] Reference Figure 6 ,The method for determining the fall warning information includes the following steps:

[0162] Step S600: Retrieve the deviation duration value based on the parameter deviation value.

[0163] 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.

[0164] Step S601: Determine a continuous reference time value based on whether the device location falls within a preset reference range of care.

[0165] The "continuous reference time value" refers to the minimum duration allowed for deviations. The system analyzes the location of the device within the preset care reference range. When the device location falls within the preset care reference range, the preset care reference time value is output as the continuous reference time value. When the device location does not fall within the preset care reference range, the preset distance reference time value is output as the continuous reference time value. The care reference time value refers to the minimum duration allowed for deviations when the caregiver is providing care. The care reference time value is obtained through pre-input. The distance reference time value refers to the minimum duration allowed for deviations when the caregiver is away. The distance reference time value is obtained through pre-input.

[0166] Step S602: Determine whether the deviation duration value is less than the reference duration value. If yes, proceed to step S603; if no, proceed to step S604.

[0167] 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.

[0168] Step S603: Output the preset reference warning information as fall warning information.

[0169] The baseline warning information refers to short-term deviation warning information, which is obtained through pre-input. When the deviation duration value is less than the baseline duration value, it indicates that there is no long-term deviation. Therefore, the preset baseline warning information is output as the fall warning information, thereby improving the accuracy of the obtained fall warning information.

[0170] Step S604: Determine parameter deviation comprehensive warning information according to the parameter deviation value and the deviation duration value.

[0171] Parameter deviation comprehensive warning information refers to comprehensive warning information that issues an alert when a parameter deviation occurs. When the deviation duration value is not less than the baseline duration value, it indicates a long-term deviation. Therefore, by analyzing the parameter deviation value and the deviation duration value, comprehensive parameter deviation warning information is determined for subsequent use. For the specific steps for determining parameter deviation comprehensive warning information, refer to steps S700 to S707.

[0172] 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.

[0173] Location warning information refers to warning information about the location of the elderly. Different device locations correspond to different location warning information. Location warning information is obtained by querying a database that stores different device locations and corresponding location warning information. This database is obtained through pre-input. Determining location warning information through device location query facilitates subsequent use.

[0174] Step S606: The parameter deviation comprehensive warning information is combined with the position warning information to form comprehensive fall warning information, and the comprehensive fall warning information is used as fall warning information.

[0175] Among them, the comprehensive fall warning information refers to the warning information that provides a comprehensive warning for the occurrence of a fall. By combining the parameter deviation comprehensive warning information with the position warning information and using the comprehensive fall warning information as the fall warning information, the accuracy of the obtained fall warning information is improved.

[0176] 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. Figure 7 The steps shown are explained in detail.

[0177] Reference Figure 7 ,The method for determining parameter deviation comprehensive warning information includes the following steps:

[0178] Step S700 : performing a curve analysis based on the parameter deviation value and the deviation duration value to form a parameter deviation curve.

[0179] The parameter deviation curve refers to the curve corresponding to the time change 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.

[0180] 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.

[0181] The device type baseline deviation curve refers to the baseline deviation curve corresponding to the type of fall detection device. Different device type information corresponds to different device type baseline deviation curves. The device type baseline deviation curve is obtained by querying from a database that stores different device type information and corresponding device type baseline deviation curves. This database is obtained through pre-input. Determining the device type baseline deviation curve through device type information query facilitates subsequent use.

[0182] Step S702: Analyze the overlap between the parameter deviation curve and the device type reference deviation curve to form a curve overlap ratio.

[0183] 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.

[0184] Step S703: Determine whether the curve overlap ratio is greater than a preset curve reference overlap ratio. If yes, execute step S704; if no, execute step S706.

[0185] The curve base coincidence rate refers to the minimum coincidence rate corresponding to the generally consistent curves. The curve base coincidence rate is obtained by pre-input. By determining whether the curve coincidence rate is greater than the preset curve base coincidence rate, it is determined whether the curves are generally consistent.

[0186] Step S704: determining parameter deviation warning information corresponding to the parameter deviation value according to the correspondence between the parameter deviation value and the preset parameter deviation warning information.

[0187] Parameter deviation warning information refers to the warning information corresponding to the deviation parameter when a parameter deviation exists. Different parameter deviation values ​​correspond to different parameter deviation warning information. Parameter deviation warning information is obtained by querying from a database that stores different parameter deviation values ​​and corresponding parameter deviation warning information. This database is obtained after pre-entry. When the curve overlap ratio is greater than the preset curve baseline overlap ratio, it indicates that the curves are generally consistent. Therefore, the parameter deviation warning information is determined by querying the parameter deviation value to facilitate subsequent use.

[0188] 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.

[0189] The deviation duration warning information refers to the warning information corresponding to the duration of a parameter deviation. Different deviation duration values ​​correspond to different deviation duration warning information. The deviation duration warning information is obtained by querying from a database that stores different deviation duration values ​​and corresponding deviation duration warning information. The database is obtained through pre-input. The deviation duration warning information is determined by querying the deviation duration value, and the parameter deviation warning information and the deviation duration warning information are combined as comprehensive parameter deviation warning information, thereby improving the accuracy of the obtained comprehensive parameter deviation warning information.

[0190] Step S706: Analyze the deviation between the parameter deviation curve and the device type reference deviation curve to generate curve deviation information.

[0191] Curve deviation information refers to the location and degree of deviation when a curve deviates. When the curve overlap ratio is less than the preset baseline overlap ratio, it indicates that the curves are generally inconsistent. Therefore, by analyzing the deviation between the parameter deviation curve and the device type baseline deviation curve, curve deviation information is generated for subsequent use.

[0192] 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.

[0193] Curve deviation warning information refers to warning information based on curve deviation. This information is analyzed to determine the curve deviation warning information, which is then used as comprehensive parameter deviation warning information to improve the accuracy of the obtained comprehensive parameter deviation warning information. For the specific steps for determining the curve deviation warning information, refer to steps S800 to S805.

[0194] 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.

[0195] The method for determining curve deviation warning information includes the following steps:

[0196] Step S800: Retrieve the curve deviation position and the curve deviation degree value based on the curve deviation information.

[0197] Curve deviation information includes the curve deviation position and curve deviation degree. The curve deviation position refers to the position on the curve corresponding to the deviation, and the curve deviation degree refers to the degree of the deviation. The curve deviation position and curve deviation degree can be retrieved through the curve deviation information for subsequent use.

[0198] Step S801 : forming a deviation relative position reference value based on the relative position between the curve deviation position and a preset curve overall position.

[0199] The "curve overall position" refers to the overall position of the curve, which is obtained through pre-input. The "deviation relative position reference value" refers to the relative reference value on the curve when a deviation exists. The deviation relative position reference value is determined by analyzing the relative position between the curve deviation position and the preset curve overall position, and querying a reference database based on the relative position to facilitate subsequent use. The reference database pre-stores different relative positions and their corresponding deviation relative position reference values.

[0200] Step S802: determining 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.

[0201] The relative position warning type information refers to the type of information corresponding to the warning issued based on the deviation relative position reference value. Different deviation relative position reference values ​​correspond to different relative position warning types. The relative position warning type information is obtained by querying from a database that stores 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.

[0202] Step S803: According to the correspondence between the curve deviation value and the preset deviation warning type information, the deviation warning type information corresponding to the curve deviation value is determined.

[0203] The deviation degree warning type information refers to the type of warning information corresponding to the curve deviation degree value. Different curve deviation degree values ​​correspond to different deviation degree warning types. The deviation degree warning type information is obtained by querying from a database that stores different curve deviation degree values ​​and corresponding deviation degree warning type information. This database is obtained through pre-input. Determining the deviation degree warning type information by querying the curve deviation degree value facilitates subsequent use.

[0204] Step S804: selecting comprehensive warning type information based on the consistency between the relative position warning type information and the deviation degree warning type information.

[0205] Among them, the comprehensive warning type information refers to the comprehensive type information corresponding to the warning. By analyzing the consistency between the relative position warning type information and the deviation degree warning type information, the consistent type is used as the comprehensive warning type information for subsequent use.

[0206] 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.

[0207] The curve deviation comprehensive warning information refers to comprehensive warning information used to issue a warning when a curve deviation occurs. Different comprehensive warning types correspond to different curve deviation comprehensive warning information. The curve deviation comprehensive warning information is obtained by querying from a database that stores different comprehensive warning types and corresponding curve deviation comprehensive warning information. This database is obtained after pre-input. The curve deviation comprehensive warning information is determined by querying the comprehensive warning type information and used as the curve deviation warning information, thereby improving the accuracy of the obtained curve deviation warning information.

[0208] Based on the same inventive concept, an embodiment of the present invention provides a fall location warning system, comprising:

[0209] Acquisition module, used to obtain real-time monitoring information and caregiver location points;

[0210] A memory for storing a program of the above-mentioned fall location warning method;

[0211] The processor loads and executes the program in the memory.

[0212] 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.

[0213] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0214] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection 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 elderly assistive devices; 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; 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; Determine fall warning information based on parameter deviation value and device location, and output monitoring warning information to the terminal held by the caregiver; Methods for determining parameter reference intervals include: Determining a device type reference interval corresponding to the device type information based on a correspondence between the device type information and a preset device type reference interval; Determine whether the device location is within the preset care reference range; If yes, get 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 benchmark interval based on the nursing impact value to form a nursing impact adjustment interval, and using the nursing impact adjustment interval as the parameter benchmark 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 category 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.

2. The fall location warning method according to claim 1, characterized in that: Methods for determining the impact of care 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 determining 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 using 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 corresponding relationship between the nursing distance deviation value and the preset nursing distance deviation impact value, a 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 corresponding relationship between the number of nursing isolation values ​​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.

3. The fall location warning method according to claim 1, characterized in that: Methods for determining the surrounding environmental impact value include: Retrieve environmental flatness and type information based on the location surrounding environment information; Determining the environmental category impact value corresponding to the environmental category information according to the correspondence between the environmental category information and the preset environmental category impact value; The leveling impact value is determined based on whether the environmental flatness falls within the preset leveling benchmark 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.

4. The fall location warning method according to claim 3, characterized in that: 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 range; If yes, the leveling benchmark impact value is used as the leveling impact value; If not, the difference between the environmental flatness and the flatness reference interval is calculated and used as the flatness 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.

5. The fall location warning method according to claim 1, characterized in that: Methods for determining fall warning information include: Retrieve the deviation duration value based on the parameter deviation value; Determine the duration benchmark time value based on whether the equipment location falls within the preset care benchmark range; Determine whether the deviation duration value is less than the duration reference time value; If yes, the preset baseline warning information is output as fall warning information; If not, the parameter deviation comprehensive warning information is determined based on 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.

6. The fall location warning method according to claim 5, characterized in that: Methods for determining comprehensive warning information of parameter deviation include: Performing curve analysis based on the parameter deviation value and the deviation duration value to form a parameter deviation curve; Determining a device type reference deviation curve corresponding to the device type information based on a correspondence between the device type information and a preset device type reference deviation curve; 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.

7. The fall location warning method according to claim 6, characterized in that: Methods for determining curve deviation warning information include: 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.

8. A fall location warning system, characterized in that: include: Acquisition module, used to obtain real-time monitoring information and caregiver location points; A memory for storing a program of the fall location warning method according to any one of claims 1 to 7; The processor loads and executes the program in the memory.

9. 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 execute the fall location and warning method according to any one of claims 1 to 7.

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