An Internet logistics service management system and method thereof

Abstract

The present invention relates to the technical field of logistics service management, and discloses an Internet logistics service management system and method thereof, wherein the system comprises a logistics management module for formulating a diet menu for the elderly, a logistics management module for purchasing diet ingredients for the elderly, and a logistics management module for personal safety of the elderly; by accurately counting the types and quantities of diet dishes required by the elderly in a nursing home, the workload of counting the diet requirements of the elderly is reduced; the types and quantities of diet dishes required by the elderly and the types and quantities of ingredients required for the corresponding diet dishes are accurately measured, thereby realizing accurate analysis and calculation of the types and quantities of ingredients required for the elderly diet, realizing autonomous and efficient generation of a diet ingredient purchase list for the elderly, and reducing the difficulty and economic cost of the later service management of the elderly.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics service management, and in particular to an Internet logistics service management system and method thereof. Background Art

[0002] Logistics management is a series of specific management behaviors and leadership activities that managers use certain principles, methods and means. Logistics management includes financial management (financial planning management, budget funds management, extra-budgetary funds management, financial activity analysis and financial supervision), property and material management (fixed asset management, materials and low-value consumables management), capital construction management (planning management, design management, pre-construction preparation, construction organization management, completion acceptance and settlement), real estate management and maintenance (real estate property rights and archives management, housing use management, employee housing allocation management, housing and ancillary equipment maintenance management, economic management), water, heating and electrical management (power supply and use management, water supply and drainage management, heating management, economic management), food management (food quality management, food cost management, nutrition and hygiene management, food service management, food economic management), automobile transportation management (vehicle management, service management, safety management, economic management), medical and health management (medical quality management, medical and health economic management), other service management (reception service management, life service management, kindergarten management, etc.) and logistics service business entity management. Logistics management has two basic functions: the function of organizing logistics services according to the functional activities of the unit, and the function of mobilizing people's enthusiasm. Correctly understanding the two functions of service and management is of great significance for our comprehensive understanding of the content of logistics management, the implementation of scientific logistics management, and the socialization of logistics services. As a functional service and support department, logistics serves all aspects of the overall work from the perspective of functional division of labor, with the overall situation first and service as the priority. The essence of logistics is to provide the rear front of "ammunition" for the development of other work. Without timely material support and appropriate service guarantee, the work and activities of various departments will lose their foundation and motivation. With the development of Internet technology, traditional manual logistics service management has been transformed into Internet logistics service management, which has improved the efficiency and quality of logistics service management. At present, there are still many problems in logistics service management. With the increasingly serious problem of aging society, the elderly can only be cared for through professional nursing homes. Among them, the dietary logistics service management of the elderly in nursing homes is mainly managed through manual logistics services. The dietary logistics management of nursing homes cannot scientifically purchase food for nursing homes and manage the healthy diet of the elderly based on the dietary wishes and physical conditions of the elderly, nor can it monitor the safety of the elderly based on the physiological parameters and behavioral characteristics of the elderly.

[0003] The Chinese invention patent application with publication number CN117057705A discloses a smart logistics management system and management method, which adopts the present invention, including receiving a pick-up request; responding to the pick-up request to obtain a pick-up instruction, the pick-up instruction including taking out the best pick-up path from the target material to the material handover point; repeatedly obtaining the time of receiving the pick-up request, the category of the target item in the warehouse management request, the simulated position of the corresponding target storage unit and the corresponding best pick-up path as a pick-up record; obtaining the pick-up frequency of each category of items according to the pick-up record; judging whether each category of items needs to be replenished according to the pick-up record; if replenishment is needed, replenishing the storage unit that is idle after picking up according to the pick-up frequency of each category of items and the best pick-up path from the idle storage unit after picking up to the material handover point, and recording it in the storage space model. The present invention improves the efficiency of logistics management by planning the pick-up and replenishment paths. However, although the above logistics management system meets the convenience of material storage and use in hospitals, it cannot meet the scientific logistics management needs of patients for diet and safety monitoring. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the above-mentioned problems that still exist in the current logistics service management, with the increasingly serious problem of aging society, the elderly care problem of the elderly can only be solved through professional nursing homes. Among them, the dietary logistics service management of the elderly in nursing homes is mainly managed through human logistics services. The dietary logistics management of nursing homes cannot scientifically purchase food for nursing homes and manage the healthy diet of the elderly based on the dietary wishes and physical conditions of the elderly, nor can it monitor the safety of the elderly based on the physiological parameters and behavioral characteristics of the elderly. The above abnormal physiological parameter status analysis can be achieved, dietary menus can be scientifically and customized, food procurement lists can be independently generated, and the purpose of abnormal detection and early warning of vital signs and physiological parameters can be achieved.

[0006] (II) Technical solution

[0007] The present invention is implemented through the following technical solution: an Internet logistics service management method, the method comprising the following steps:

[0008] S1. Collect physiological parameter data of elderly people;

[0009] S2, using a data recognition algorithm to compare the physiological parameter data of the elderly with the normal physiological parameter interval data of healthy people according to the physiological parameter type, and identifying the physiological parameter identifiers of the elderly that do not belong to the normal physiological parameter interval to generate abnormal physiological parameter data of the elderly;

[0010] S3, screening a diet menu that meets the elderly person's physiological state based on the elderly person's abnormal physiological parameter data, the restricted dish data corresponding to the abnormal physiological parameters, and the standard elderly diet menu data, and analyzing and generating elderly person selected diet menu data;

[0011] S4, displaying the menu data of food dishes selected by the elderly through a display device, allowing the elderly to select food dishes according to their own needs, collecting the selected food dishes to generate menu data of food dishes determined by the elderly and outputting the data;

[0012] S5. According to the menu data of the food dishes determined by the elderly, the total amount of the food dishes of all the elderly is summarized and measured according to the types of food dishes, and the total amount data of the food dishes determined by the elderly is generated; according to the total amount data of the food dishes determined by the elderly and the types and weight data of the ingredients corresponding to the single servings of different types of food dishes, the ingredients required for the dishes are measured, summarized, and the food ingredients purchase quantity data of the elderly is generated and output;

[0013] S6. When the purchase and measurement of food ingredients for the elderly are completed, the vital sign parameter data of the elderly are collected;

[0014] S7. Use a data recognition algorithm to compare the vital sign parameter data of the elderly with the safe vital sign parameter interval data of the elderly according to the vital sign parameter type, identify the vital sign parameter identifiers of the elderly that do not belong to the safe vital sign parameter interval, generate abnormal vital sign parameter data of the elderly, and provide feedback and warning.

[0015] Preferably, the steps of collecting the physiological parameter data of the elderly are as follows:

[0016] S11, measure the physiological indicators of the elderly online through the human physiological indicator measurement sensor and generate the physiological parameter data set A of the elderly = (a1, ..., a u ,…,a α ), u=1,2,3,…,α; where a u represents the physiological parameter data of the u-th elderly person, α represents the maximum number of physiological parameter types, and the physiological parameters include blood sugar, blood pressure, blood lipids and uric acid; the human physiological index measurement sensors include blood sugar measurement sensors, blood pressure measurement sensors, blood lipid measurement sensors, uric acid measurement sensors, body temperature measurement sensors, pulse measurement sensors and respiration measurement sensors.

[0017] Preferably, the steps of using a data recognition algorithm to compare the physiological parameter data of the elderly with the normal physiological parameter interval data of healthy people according to the physiological parameter type, identifying the physiological parameter identifiers of the elderly who do not belong to the normal physiological parameter interval and generating abnormal physiological parameter data of the elderly are as follows:

[0018] S21. Establish a data set of normal physiological parameter intervals for healthy people in Indicates the normal physiological parameter interval data of healthy people corresponding to the first type of elderly person's physiological parameter data a1; Represents the physiological parameter data a of the u-th type of elderly person u Corresponding normal physiological parameter interval data of healthy people; Represents the physiological parameter data of the αth type of elderly person a α Corresponding normal physiological parameter interval data of healthy people;

[0019] S22, using a data recognition algorithm to identify the elderly person's physiological parameter data set A. u According to the physiological parameter type number u and the normal physiological parameter interval data set B of the healthy population Physiological parameter values ​​are compared and the physiological parameter data of the elderly person that does not belong to the normal physiological parameter range is identified. u The data recognition algorithm identifies the elderly person's physiological parameter data a that does not belong to the normal physiological parameter range u The steps are as follows:

[0020] S221, initializing the search space: determining the boundary and feasible domain of the search space of the normal physiological parameter interval data set B of the healthy population;

[0021] S222, initializing the physiological parameter recognition role position: randomly selecting an initial healthy population normal physiological parameter interval data set B in the search space of the healthy population normal physiological parameter interval data set B. Location;

[0022] S223, calculate fitness: according to the problem solving requirements, calculate the current normal physiological parameter interval data of the healthy population searched by the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population. Physiological parameter data of elderly people u The fitness value of

[0023] S224, moving the physiological parameter identification role: according to the problem-solving strategy, the physiological parameter identification role is moved and updated in the search space of the normal physiological parameter interval data set B of the healthy population. The calculation formula for the physiological parameter identification role update position is:

[0024] Where R is a random number with a value of [-z, z]; r1 and r2 are both random numbers between [0, 1]; rand(1) is a random number that satisfies the standard normal distribution; t is the current iteration number; W1 and W2 represent the hunger weight factors; Q zui It represents the global optimal position of the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population, that is, the search is related to the physiological parameter data a of the elderly. u The most matching normal physiological parameter interval data of healthy people The position of the normal physiological parameter interval data set B of the healthy population; Q(t+1) represents the position of the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population in the t+1th iteration, Q(t) represents the position of the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population in the tth iteration, Φ is a set constant, and the calculation formula of Φ is Φ=sh(|Π(i)-Π zui |), where Π(i) represents the fitness value of the i-th physiological parameter identification role individual; Π zui Represents the current optimal fitness value of the i-th physiological parameter identification role individual, that is, the normal physiological parameter interval data of healthy people Physiological parameter data of elderly people u The optimal fitness value, sh represents the hyperbolic function;

[0025] S225, update fitness: calculate the normal physiological parameter interval data of healthy people in the new position searched by the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of healthy people Physiological parameter data of elderly people u The fitness value of

[0026] S226, update the optimal solution: if the calculation of the physiological parameter recognition role searches for the normal physiological parameter interval data set B of the healthy population under the normal physiological parameter interval data set B of the healthy population, the normal physiological parameter interval data set B of the healthy population under the normal physiological parameter interval data set B of the healthy population Physiological parameter data of elderly people u The fitness value is better than the normal physiological parameter interval data of healthy people at the current location Physiological parameter data of elderly people u The fitness value of the new position is the normal physiological parameter interval data of healthy people. is the optimal solution, update the optimal solution;

[0027] S227, when the maximum number of iterations is met, output the matching physiological parameter data a of the elderly according to the physiological parameter type u u Normal physiological parameter interval data of healthy people Compare physiological parameter values ​​and identify data that does not belong to the normal physiological parameter range of healthy people The physiological parameter data of the elderly person a u ; Otherwise, return to step S223 until the maximum number of iterations is met;

[0028] S23, filtering out the data that does not belong to the normal physiological parameter interval of the healthy population in step S227 Corresponding physiological parameter data a of the elderly person u Identify as abnormal physiological parameter data of elderly persons and establish abnormal physiological parameter data set of elderly persons A'=(a' u1 ,…,a' u2 ), 1≤u1≤u≤u2≤α, where a' u1 represents the abnormal physiological parameter data of the u1th elderly person, a' u2 Represents the abnormal physiological parameter data of the u2th elderly person.

[0029] Preferably, the operation steps of screening a diet menu that meets the physiological state of the elderly person according to the abnormal physiological parameter data of the elderly person, the restricted dish data corresponding to the abnormal physiological parameters, and the standard elderly diet menu data, and analyzing and generating the diet menu data selected by the elderly person are as follows:

[0030] S31, obtaining a data set A' of abnormal physiological parameters of elderly persons;

[0031] S32, establish a standard elderly diet menu data set C = (c1, ..., c o ,…,c β ), o=1,2,3,…,β; where c o represents the menu data of the oth type of standard elderly diet dishes, β represents the maximum number of types of standard elderly diet dishes, and the standard elderly diet dishes include Sichuan cuisine, Cantonese cuisine, Jiangsu cuisine, Anhui cuisine, Zhejiang cuisine and Hunan cuisine;

[0032] Establish abnormal physiological parameters corresponding to restricted dishes data set D = (C' u1 ,…,C' u2 ), where C' u1 Indicates the restricted food data corresponding to the abnormal physiological parameter data u1 of the elderly, C' u1 Belongs to the subset of C; C' u2Indicates the abnormal physiological parameter data u2 corresponding to the abnormal physiological parameter of the elderly person and the corresponding restricted dish data, C' u2 Belongs to the subset of C;

[0033] S33, using a breadth-first search algorithm to search for abnormal physiological parameter data a' of the elderly in the abnormal physiological parameter data set A' of the elderly. u1 to a' u2 As the search keyword, search for the corresponding abnormal physiological parameter corresponding restricted dish data set D to obtain the corresponding abnormal physiological parameter corresponding restricted dish data C' u1 To C' u2 ;

[0034] S34, obtaining the standard elderly diet menu data set C, and using a breadth-first search algorithm to search for the abnormal physiological parameters found in step S33 corresponding to the restricted menu data C' u1 To C' u2 As the search keyword, the corresponding standard elderly diet menu data set C is searched in the standard elderly diet menu data set C. o , the searched standard elderly diet menu data c o The standard elderly food menu data set C is filtered and deleted, and the standard elderly food menu data set C after the filtering and deletion process is generated as a food menu data set C for elderly persons to select. 选择 .

[0035] Preferably, the menu data of food dishes selected by the elderly are displayed through a display device, the elderly select food dishes according to their own needs, and the selected food dishes are collected to generate the menu data of food dishes determined by the elderly and output as follows:

[0036] S41, the menu data set C of the food dishes selected by the elderly 选择 The elderly person's selected food menu data is displayed to the elderly person through a display device. The elderly person slides his finger on the surface of the display device to browse the elderly person's selected food menu data, and clicks to select the elderly person's selected food menu data corresponding to the food menu data according to his own needs. The elderly person's selected food menu data selected by the click is collected to generate the elderly person's determined food menu data set C 确定 And output, the display device includes at least one of a mobile phone, a tablet computer, and a laptop computer.

[0037] Preferably, according to the menu data of food dishes determined by the elderly, the total amount of food dishes for all the elderly is summarized and measured according to the types of food dishes, and the total amount data of food dishes determined by the elderly is generated; according to the total amount data of food dishes determined by the elderly and the types and weight data of ingredients corresponding to different types of single-serving food dishes, the ingredients required for the dishes are measured, summarized, and the output data of food ingredients purchase quantity for the elderly is generated as follows:

[0038] S51, obtaining a set of dietary menu data C of all the elderly persons in the nursing home 确定 Measure the total amount of food for all elderly people by category and generate a data set of the total amount of food for elderly people Where e1 represents the total amount of food and drink determined by the elderly corresponding to the standard elderly food and drink menu data c1; o Represents the standard elderly diet menu data c o The corresponding elderly care personnel determine the total amount of food and dishes; β Represents the standard elderly diet menu data c β The corresponding elderly care personnel determine the total amount of food dishes;

[0039] S52. Establishing a data set of food type and weight corresponding to different types of single-serving food dishes Where f1 represents the menu data of a single serving of standard elderly care food, and c1 corresponds to the types and weights of ingredients of different types of single servings of food required; o Represents a single serving of standard elderly diet menu data c o The types and weights of ingredients for different types of single-serving meals; β Represents a single serving of standard elderly diet menu data c β The types and weights of ingredients corresponding to the different types of single-serving meals required; the specific size of the single-serving meal depends on the specific nursing home’s dietary provisions for the elderly, and the types and weights of ingredients indicate the types and weights of ingredients required to prepare the specific meals;

[0040] S53, the total amount of food and drink data e1 to c in the total amount of food and drink data set E determined by the elderly are collected. β The data f1 to f2 corresponding to the types and weights of ingredients of different types of single-serving food dishes in the data set F corresponding to the types and weights of ingredients of different types of single-serving food dishes β According to the food type o number, the product processing is performed to generate the food type and weight measurement data set F'=(e1×f1,…,e o ×f o ,…,eβ ×f β ), where e1×f1 represents the types of ingredients and weight measurement data corresponding to different types of diet dishes corresponding to the standard elderly diet menu data c1; e o ×f o Represents the standard elderly diet menu data c o The corresponding food ingredients and weight measurement data for different types of food dishes; β ×f β Represents the standard elderly diet menu data c β The corresponding ingredient types and weight measurement data for different types of food dishes;

[0041] S54, the ingredient types and weight measurement data set F' corresponding to the ingredient types and weight measurement data of the different types of food dishes are combined into the ingredient types and weight measurement data set F' corresponding to the ingredient types and weight measurement data of the different types of food dishes. o ×f o The weight of each ingredient is counted according to the type of ingredients, and the data G of the purchase volume of dietary ingredients for the elderly is generated and output.

[0042] Preferably, when the purchase and measurement of food ingredients for the elderly are completed, the operation steps for collecting the vital sign parameter data of the elderly are as follows:

[0043] S61. When the purchase and measurement of food ingredients for the elderly are completed, the vital signs of the elderly are measured online through the human physiological index measurement sensor and a vital sign parameter data set H of the elderly is generated. v ,…,h δ ), v = 1, 2, 3, ..., δ; where h v represents the vital sign parameter data of the vth type of elderly person, δ represents the maximum number of types of vital sign parameters, and the vital sign parameters include body temperature, respiration and pulse.

[0044] Preferably, the steps of using a data recognition algorithm to compare the vital sign parameter data of the elderly with the safe vital sign parameter interval data of the elderly according to the vital sign parameter type, identifying the vital sign parameter identifiers of the elderly that do not belong to the safe vital sign parameter interval, generating abnormal vital sign parameter data of the elderly, and providing feedback warning are as follows:

[0045] S71. Establish a data set of safety vital signs parameter intervals for elderly people in Indicates the elderly care worker's safety vital sign parameter interval data corresponding to the elderly care worker's vital sign parameter data h1; Represents the vital signs parameter data of the elderly person h vCorresponding safety vital sign parameter interval data of the elderly; Represents the vital signs parameter data of the elderly person h δ Corresponding safety vital sign parameter interval data of the elderly;

[0046] S72, using the data recognition algorithm in step S22 to identify the vital sign parameter data h of the elderly in the vital sign parameter data set H v The interval data of the safety vital signs parameters of the elderly in the data set K Compare the values ​​of the vital sign parameters according to the vital sign parameter type number v;

[0047] S73, when The warning operation will not be executed; Then the vital sign parameter data h v Identify and generate abnormal vital sign parameter data for elderly care personnel And the abnormal vital sign parameter data of the elderly Feedback is sent to the nursing home safety control center to issue an early warning to the staff to inform them that the corresponding nursing home residents are at risk of life.

[0048] A system for implementing an Internet logistics service management method as described, the system includes a logistics management module for formulating diet menus for the elderly, a logistics management module for purchasing diet ingredients for the elderly, and a logistics management module for the personal safety of the elderly; the logistics management module for formulating diet menus for the elderly, the logistics management module for purchasing diet ingredients for the elderly, and the logistics management module for the personal safety of the elderly are connected to each other through Internet network communication.

[0049] The logistics management module for formulating the diet menu for the elderly includes a physiological parameter collection unit for the elderly, a physiological parameter storage unit for healthy people, an abnormal physiological parameter identification unit for the elderly, a standard diet menu storage unit for the elderly, a restricted menu storage unit corresponding to abnormal physiological parameters, a diet menu generation unit for the elderly, and a diet menu selection output unit for the elderly;

[0050] The elderly person's physiological parameter acquisition unit is used to collect the elderly person's physiological parameter data through the human physiological index measurement sensor; the healthy people's physiological parameter storage unit is used to store the normal physiological parameter interval data of the healthy people; the elderly person's abnormal physiological parameter identification unit adopts a data recognition algorithm to compare the elderly person's physiological parameter data with the normal physiological parameter interval data of the healthy people according to the physiological parameter type, and identifies the elderly person's physiological parameter identifier that does not belong to the normal physiological parameter interval to generate the elderly person's abnormal physiological parameter data; the standard elderly care diet menu storage unit is used to store the standard elderly care diet menu data; the abnormal physiological parameter comparison The restricted dishes storage unit is used to store the restricted dishes data corresponding to the abnormal physiological parameters; the elderly person can select the diet menu generation unit, which screens the diet menu that meets the elderly person's physiological state according to the elderly person's abnormal physiological parameter data and the restricted dishes data corresponding to the abnormal physiological parameters and the standard elderly diet menu data, and analyzes and generates the elderly person selected diet menu data; the elderly person determines the diet menu selection output unit, which displays the elderly person selected diet menu data through a display device according to the elderly person, and the elderly person selects the diet according to his own needs, and the selected diet is collected to generate the elderly person determined diet menu data and output;

[0051] The logistics management module for purchasing food ingredients for the elderly includes a measurement unit for determining food items for the elderly, a weight storage unit for food ingredients corresponding to different types of single servings of food items, a measurement unit for purchasing food ingredients for the elderly, and a unit for outputting the purchasing amount of food ingredients for the elderly;

[0052] The dietary dish measuring unit determined by the elderly is used to summarize and measure the total amount of dietary dishes for all the elderly according to the dietary dish menu data determined by the elderly and the types of dietary dishes, and generate the total amount data of dietary dishes determined by the elderly; the weight storage unit corresponding to the weight of ingredients of different types of single-serving dietary dishes is used to store the types and weight data of ingredients corresponding to different types of single-serving dietary dishes; the dietary ingredient purchase quantity measuring unit for the elderly is used to measure and summarize the ingredients required for the dishes according to the total amount data of dietary dishes determined by the elderly and the types and weight data of ingredients corresponding to different types of single-serving dietary dishes, and generate the dietary ingredient purchase quantity data for the elderly; the dietary ingredient purchase quantity output unit for the elderly is used to output the dietary ingredient purchase quantity data for the elderly;

[0053] The personal safety logistics management module for the elderly includes a vital sign parameter collection unit for the elderly, a safety vital sign parameter storage unit for the elderly, an abnormal vital sign parameter detection unit for the elderly, and an abnormal vital sign problem feedback and early warning unit for the elderly;

[0054] The elderly person's vital sign parameter acquisition unit acquires the elderly person's vital sign parameter data through a human physiological index measurement sensor; the elderly person's safety vital sign parameter storage unit is used to store the elderly person's safety vital sign parameter interval data; the elderly person's abnormal vital sign parameter detection unit uses a data recognition algorithm to compare the elderly person's vital sign parameter data with the elderly person's safety vital sign parameter interval data according to the vital sign parameter type, identifies the elderly person's vital sign parameter identifier that does not belong to the safety vital sign parameter interval, and generates the elderly person's abnormal vital sign parameter data; the elderly person's abnormal vital sign problem feedback and early warning unit provides feedback and early warning based on the elderly person's abnormal vital sign parameter data.

[0055] (III) Beneficial effects

[0056] The present invention provides an Internet logistics service management system and method thereof. It has the following beneficial effects:

[0057] 1. The abnormal physiological parameter identification unit for the elderly uses an intelligent recognition algorithm to accurately analyze the abnormal physiological parameter data of the elderly, ensuring the rationality and scientificity of the elderly's diet; the elderly can choose a diet menu generation unit that uses physiological parameter characteristics to customize and screen out diet dishes that meet the health of the elderly, realizing intelligent and humanized management of the elderly's logistics services; the elderly determine the diet menu selection output unit using a display device to intuitively display diet dishes that meet the health of the elderly and provide them to the elderly to choose freely according to their personal preferences, ensuring that the elderly have a healthy and happy diet, and improving the quality and efficiency of the elderly's logistics service management.

[0058] 2. The dietary measurement units determined by the elderly are used to accurately count the types and quantities of dietary dishes required by the elderly in nursing homes, thereby reducing the workload of counting the dietary needs of the elderly; the food weight storage units corresponding to different types of single-serving dietary dishes and the dietary food purchase quantity measurement units for the elderly cooperate with each other to accurately measure the types and quantities of dietary dishes required by the elderly and the types and quantities of ingredients required for the corresponding dietary dishes, thereby achieving accurate analysis and calculation of the types and quantities of ingredients required for the elderly's diet, and realizing the independent and efficient generation of dietary food purchase lists for the elderly, reducing the difficulty and economic cost of the later service management of the elderly.

[0059] 3. The vital sign parameter collection unit for the elderly monitors the vital sign parameters of the elderly in real time through the human physiological index measurement sensor, so as to realize accurate monitoring of the vital sign status of the elderly and ensure the safety of the elderly; the elderly safety vital sign parameter storage unit and the elderly abnormal vital sign parameter detection unit cooperate with each other to monitor whether the vital sign status of the elderly is in a safe state around the clock through the preset elderly safety vital sign parameters and the elderly vital sign parameter set intelligent recognition algorithm collected in real time, so as to realize reliable monitoring of the vital signs of the elderly; the elderly abnormal vital sign problem feedback and early warning unit provides emergency early warning feedback to the elderly with abnormal vital signs, thereby improving the service quality and intelligent management of post-service management for the elderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A schematic diagram of a module of an Internet logistics service management system provided by the present invention;

[0061] Figure 2 The present invention provides a flowchart of an Internet logistics service management method. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] The embodiments of the Internet logistics service management system and method thereof are as follows:

[0064] See also Figure 1 - Figure 2 , a method for managing Internet logistics services, the method comprising the following steps:

[0065] S1. Collect physiological parameter data of elderly people;

[0066] S2. Using a data recognition algorithm, the physiological parameter data of the elderly are compared with the normal physiological parameter interval data of the healthy population according to the physiological parameter type, and the physiological parameter identifiers of the elderly that do not belong to the normal physiological parameter interval are identified to generate abnormal physiological parameter data of the elderly;

[0067] S3, screening the food menu that meets the elderly person's physiological state based on the elderly person's abnormal physiological parameter data, the restricted food menu data corresponding to the abnormal physiological parameters, and the standard elderly food menu data, and analyzing and generating the elderly person's selected food menu data;

[0068] S4, displaying the menu data of food dishes selected by the elderly through a display device, the elderly select food dishes according to their own needs, collecting the selected food dishes to generate the menu data of food dishes determined by the elderly and outputting it;

[0069] S5. According to the menu data of the food dishes determined by the elderly, the total amount of the food dishes of all the elderly is summarized and measured according to the types of food dishes, and the total amount data of the food dishes determined by the elderly is generated; according to the total amount data of the food dishes determined by the elderly and the types and weight data of the ingredients corresponding to the single servings of different types of food dishes, the ingredients required for the dishes are measured, summarized, and the food ingredients purchase quantity data of the elderly is generated and output;

[0070] S6. When the purchase and measurement of food ingredients for the elderly are completed, the vital sign parameter data of the elderly are collected;

[0071] S7. Use data recognition algorithm to compare the vital sign parameter data of the elderly with the safe vital sign parameter range data of the elderly according to the vital sign parameter type, identify the vital sign parameter identifiers of the elderly that do not belong to the safe vital sign parameter range, generate abnormal vital sign parameter data of the elderly, and provide feedback and warning.

[0072] For further information, see Figure 1 - Figure 2 ,The steps for collecting the physiological parameter data of the elderly are as follows:

[0073] S11, measure the physiological indicators of the elderly online through the human physiological indicator measurement sensor and generate the physiological parameter data set A of the elderly = (a1, ..., a u ,…,a α ), u=1,2,3,…,α; where a u represents the physiological parameter data of the u-th type of elderly person, α represents the maximum number of physiological parameter types, and the physiological parameters include blood sugar, blood pressure, blood lipids and uric acid; the human physiological index measurement sensors include blood sugar measurement sensors, blood pressure measurement sensors, blood lipid measurement sensors, uric acid measurement sensors, body temperature measurement sensors, pulse measurement sensors and respiration measurement sensors.

[0074] The data recognition algorithm is used to compare the physiological parameter data of the elderly with the normal physiological parameter interval data of the healthy population according to the physiological parameter type, and the physiological parameter identifiers of the elderly who do not belong to the normal physiological parameter interval are identified to generate abnormal physiological parameter data of the elderly. The operation steps are as follows:

[0075] S21. Establish a data set of normal physiological parameter intervals for healthy people in Indicates the normal physiological parameter interval data of healthy people corresponding to the first type of elderly person's physiological parameter data a1; Represents the physiological parameter data a of the u-th type of elderly person u Corresponding normal physiological parameter interval data of healthy people; Represents the physiological parameter data of the αth type of elderly person a α Corresponding normal physiological parameter interval data of healthy people;

[0076] S22, using a data recognition algorithm to identify the elderly person's physiological parameter data set A. u According to the physiological parameter type number u and the normal physiological parameter interval data set B of the healthy population, the normal physiological parameter interval data of the healthy population Physiological parameter value comparison and identification of elderly care personnel physiological parameter data that do not belong to the normal physiological parameter range u , the data recognition algorithm identifies the physiological parameter data of the elderly that does not belong to the normal physiological parameter range a u The steps are as follows:

[0077] S221, initializing the search space: determining the boundary and feasible domain of the search space of the normal physiological parameter interval data set B of the healthy population;

[0078] S222, initializing the physiological parameter recognition role position: randomly selecting an initial healthy population normal physiological parameter interval data set B in the search space of the healthy population normal physiological parameter interval data set B. Location;

[0079] S223, calculate fitness: according to the problem solving requirements, calculate the current normal physiological parameter interval data of the healthy population searched by the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population. Physiological parameter data of elderly people u The fitness value of

[0080] S224, moving the physiological parameter identification role: according to the problem-solving strategy, the physiological parameter identification role is moved and updated in the search space of the normal physiological parameter interval data set B of the healthy population. The calculation formula for the physiological parameter identification role update position is:

[0081] Where R is a random number with a value of [-z, z]; r1 and r2 are both random numbers between [0, 1]; rand(1) is a random number that satisfies the standard normal distribution; t is the current iteration number; W1 and W2 represent the hunger weight factors; Q zuiIt represents the global optimal position of the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population, that is, the search is related to the physiological parameter data a of the elderly. u The most matching normal physiological parameter interval data of healthy people The position of the normal physiological parameter interval data set B of the healthy population; Q(t+1) represents the position of the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population in the t+1th iteration, Q(t) represents the position of the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population in the tth iteration, Φ is a set constant, and the calculation formula of Φ is Φ=sh(|Π(i)-Π zui |), where Π(i) represents the fitness value of the i-th physiological parameter identification role individual; Π zui Represents the current optimal fitness value of the i-th physiological parameter identification role individual, that is, the normal physiological parameter interval data of healthy people Physiological parameter data of elderly people u The optimal fitness value, sh represents the hyperbolic function;

[0082] S225, update fitness: calculate the normal physiological parameter interval data of healthy people in the new position searched by the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of healthy people Physiological parameter data of elderly people u The fitness value of

[0083] S226, update the optimal solution: if the calculation of the physiological parameter recognition role searches for the normal physiological parameter interval data set B of the healthy population under the normal physiological parameter interval data set B of the healthy population, the normal physiological parameter interval data set B of the healthy population under the normal physiological parameter interval data set B of the healthy population Physiological parameter data of elderly people u The fitness value is better than the normal physiological parameter interval data of healthy people at the current location Physiological parameter data of elderly people u The fitness value of the new position is the normal physiological parameter interval data of healthy people. is the optimal solution, update the optimal solution;

[0084] S227, when the maximum number of iterations is met, output the matching physiological parameter data a of the elderly according to the physiological parameter type u u Normal physiological parameter interval data of healthy people Compare physiological parameter values ​​and identify data that does not belong to the normal physiological parameter range of healthy people Physiological parameter data of elderly people u ; Otherwise, return to step S223 until the maximum number of iterations is met;

[0085] S23, filtering out the data that does not belong to the normal physiological parameter interval of healthy people in step S227 Corresponding physiological parameter data of the elderly u Identify as abnormal physiological parameter data of elderly persons and establish abnormal physiological parameter data set of elderly persons A'=(a' u1 ,…,a' u2 ), 1≤u1≤u≤u2≤α, where a' u1 represents the abnormal physiological parameter data of the u1th elderly person, a' u2 Represents the abnormal physiological parameter data of the u2th elderly person.

[0086] The operation steps of screening the food menu that meets the physiological state of the elderly according to the abnormal physiological parameter data of the elderly, the restricted food menu data corresponding to the abnormal physiological parameters, and the standard elderly food menu data, and analyzing and generating the food menu data selected by the elderly are as follows:

[0087] S31, obtaining a data set A' of abnormal physiological parameters of elderly persons;

[0088] S32, establish a standard elderly diet menu data set C = (c1, ..., c o ,…,c β ), o=1,2,3,…,β; where c o represents the menu data of the oth type of standard elderly diet dishes, β represents the maximum number of standard elderly diet dishes, and standard elderly diet dishes include Sichuan cuisine, Cantonese cuisine, Jiangsu cuisine, Anhui cuisine, Zhejiang cuisine and Hunan cuisine;

[0089] Establish abnormal physiological parameters corresponding to restricted dishes data set D = (C' u1 ,…,C' u2 ), where C' u1 Indicates the restricted food data corresponding to the abnormal physiological parameter data u1 of the elderly, C' u1 Belongs to the subset of C; C' u2 Indicates the abnormal physiological parameter data u2 corresponding to the abnormal physiological parameter of the elderly person and the corresponding restricted dish data, C' u2 Belongs to the subset of C;

[0090] S33, using a breadth-first search algorithm to search for abnormal physiological parameter data a' of the elderly in the abnormal physiological parameter data set A' of the elderly. u1 to a' u2 As the search keyword, search for the corresponding abnormal physiological parameter corresponding restricted dish data set D to find the corresponding abnormal physiological parameter corresponding restricted dish data C' u1 To C' u2 ;

[0091] S34, obtain a standard elderly diet menu data set C, and use a breadth-first search algorithm to match the abnormal physiological parameters searched in step S33 to the restricted menu data C' u1 To C' u2 As the search keyword, search for the corresponding standard elderly care diet menu data set C in the standard elderly care diet menu data set C o , the searched standard elderly diet menu data c o The standard elderly food menu data set C is filtered and deleted, and the standard elderly food menu data set C after the filtering and deletion is generated as the elderly person's food menu data set C 选择 .

[0092] The menu data of food dishes selected by the elderly are displayed through the display device, and the elderly select food dishes according to their own needs. The selected food dishes are collected to generate the menu data of food dishes determined by the elderly and output as follows:

[0093] S41, the menu data set C of the food menu selected by the elderly 选择 The elderly person's selected food menu data is displayed to the elderly person through a display device. The elderly person slides his finger on the surface of the display device to browse the elderly person's selected food menu data, and clicks to select the elderly person's selected food menu data corresponding to the food menu data according to his own needs. The elderly person's selected food menu data selected by the click is collected to generate the elderly person's determined food menu data set C 确定 And output, the display device includes at least one of a mobile phone, a tablet computer, and a laptop computer.

[0094] The abnormal physiological parameter identification unit for the elderly uses an intelligent recognition algorithm to accurately analyze the abnormal physiological parameter data of the elderly, ensuring the rationality and scientificity of the elderly's diet; the elderly can choose a diet menu generation unit that uses physiological parameter characteristics to customize and screen out diet dishes that meet the elderly's physical health, realizing intelligent and humanized management of the elderly's logistics services; the elderly determine the diet menu selection output unit uses a display device to intuitively display diet dishes that meet the health of the elderly and provide them to the elderly to choose freely according to their personal preferences, ensuring that the elderly have a healthy and happy diet, and improving the quality and efficiency of the elderly's logistics service management.

[0095] For further information, see Figure 1 - Figure 2According to the menu data of the food dishes determined by the elderly, the total amount of all the food dishes for the elderly is summarized and measured according to the types of food dishes, and the total amount data of the food dishes determined by the elderly is generated; according to the total amount data of the food dishes determined by the elderly and the types and weight data of the ingredients corresponding to the different types of single-serving food dishes, the ingredients required for the dishes are measured, summarized, and the output data of the purchase amount of food ingredients for the elderly is generated as follows:

[0096] S51, obtain the dietary menu data set C of all the elderly people in the nursing home 确定 Measure the total amount of food for all elderly people by category and generate a data set of the total amount of food for elderly people o=1,2,3,…,β; where e1 represents the total amount of food and drink determined by the elderly corresponding to the standard elderly food and drink menu data c1; e o Represents the standard elderly diet menu data c o The corresponding elderly care personnel determine the total amount of food and dishes; β Represents the standard elderly diet menu data c β The corresponding elderly care personnel determine the total amount of food dishes;

[0097] S52. Establishing a data set of food type and weight corresponding to different types of single-serving food dishes Where f1 represents the menu data of a single serving of standard elderly care food, and c1 corresponds to the types and weights of ingredients of different types of single servings of food required; o Represents a single serving of standard elderly diet menu data c o The types and weights of ingredients for different types of single-serving meals; β Represents a single serving of standard elderly diet menu data c β The types and weights of ingredients corresponding to the different types of single-serving meals required; the specific size of a single-serving meal depends on the specific nursing home's dietary provisions for the elderly, and the types and weights of ingredients indicate the types and weights of ingredients required to prepare specific meals;

[0098] S53, the total amount of food and dishes determined by the elderly person in the data set E is divided into the total amount of food and dishes determined by the elderly person e1 to c β The data sets F of the types and weights of ingredients corresponding to the different types of single-serving food dishes are the data f1 to f1 of the types and weights of ingredients corresponding to the different types of single-serving food dishes. β According to the food type o number, the product processing is performed to generate the food type and weight measurement data set F'=(e1×f1,…,e o ×f o ,…,eβ ×f β ), where e1×f1 represents the types of ingredients and weight measurement data corresponding to different types of diet dishes corresponding to the standard elderly diet menu data c1; e o ×f o Represents the standard elderly diet menu data c o The corresponding food ingredients and weight measurement data for different types of food dishes; β ×f β Represents the standard elderly diet menu data c β The corresponding ingredient types and weight measurement data for different types of food dishes;

[0099] S54, the food ingredients and weight measurement data set F' corresponding to the food ingredients and weight measurement data e of the different food ingredients and weight measurement data e of the different food ingredients and weight measurement data e of the different food ingredients and weight measurement data set F' o ×f o The weight of each ingredient is counted according to the type of ingredients, and the data G of the purchase volume of dietary ingredients for the elderly is generated and output.

[0100] The dietary measurement unit determined by the elderly is used to accurately count the types and quantities of dietary dishes required by the elderly in the nursing home, thereby reducing the workload of counting the dietary needs of the elderly; the corresponding food weight storage units for different types of single-serving dietary dishes and the dietary food purchase quantity measurement units for the elderly cooperate with each other to accurately measure the types and quantities of dietary dishes required by the elderly and the types and quantities of ingredients required for the corresponding dietary dishes, thereby achieving accurate analysis and calculation of the types and quantities of ingredients required for the elderly's diet, and realizing the independent and efficient generation of dietary food purchase lists for the elderly, reducing the difficulty and economic cost of the later service management of the elderly.

[0101] For further information, see Figure 1 - Figure 2 When the purchase and measurement of food ingredients for the elderly are completed, the steps for collecting the vital sign parameter data of the elderly are as follows:

[0102] S61. When the purchase and measurement of food ingredients for the elderly are completed, the vital signs of the elderly are measured online through the human physiological index measurement sensor and a vital sign parameter data set H of the elderly is generated. v ,…,h δ ), v = 1, 2, 3, ..., δ; where h v represents the vital sign parameter data of the vth type of elderly people, δ represents the maximum number of vital sign parameter types, and the vital sign parameters include body temperature, respiration and pulse.

[0103] The data recognition algorithm is used to compare the vital sign parameter data of the elderly with the safe vital sign parameter interval data of the elderly according to the vital sign parameter type, and the vital sign parameter identifiers of the elderly who do not belong to the safe vital sign parameter interval are identified to generate abnormal vital sign parameter data of the elderly and provide feedback warning. The operation steps are as follows:

[0104] S71. Establish a data set of safety vital signs parameter intervals for elderly people in Indicates the elderly care worker's safety vital sign parameter interval data corresponding to the elderly care worker's vital sign parameter data h1; Represents the vital signs parameter data of the elderly person h v Corresponding safety vital sign parameter interval data of the elderly; Represents the vital signs parameter data of the elderly person h δ Corresponding safety vital sign parameter interval data of the elderly;

[0105] S72, using the data recognition algorithm in step S22 to identify the vital sign parameter data h of the elderly in the vital sign parameter data set H v The interval data of the safety vital signs parameters of the elderly in the data set K Compare the values ​​of the vital sign parameters according to the vital sign parameter type number v;

[0106] S73, when The warning operation will not be executed; Then the vital sign parameter data h v Identify and generate abnormal vital sign parameter data for elderly care personnel And the abnormal vital sign parameter data of the elderly Feedback is sent to the nursing home safety control center to issue an early warning to the staff to inform them that the corresponding nursing home residents are at risk of life.

[0107] The elderly person's vital sign parameter collection unit monitors the elderly person's vital sign parameters in real time through human physiological index measurement sensors, thereby realizing accurate monitoring of the elderly person's vital sign status and ensuring the elderly person's safety; the elderly person's safety vital sign parameter storage unit and the elderly person's abnormal vital sign parameter detection unit cooperate with each other to monitor whether the elderly person's vital sign status is in a safe state around the clock through the preset elderly person's safety vital sign parameters and the elderly person's real-time collected vital sign parameter set intelligent recognition algorithm, thereby realizing reliable monitoring of the elderly person's vital signs; the elderly person's abnormal vital sign problem feedback and early warning unit provides emergency early warning feedback to the elderly person with abnormal vital signs, thereby improving the service quality and intelligent management of post-service management for the elderly.

[0108] A system for implementing an Internet logistics service management method includes a logistics management module for formulating a diet menu for the elderly, a logistics management module for purchasing diet ingredients for the elderly, and a logistics management module for the personal safety of the elderly; the logistics management module for formulating a diet menu for the elderly, the logistics management module for purchasing diet ingredients for the elderly, and the logistics management module for the personal safety of the elderly are connected to each other through Internet network communication.

[0109] The logistics management module for the formulation of the diet menu for the elderly includes a physiological parameter collection unit for the elderly, a physiological parameter storage unit for healthy people, an abnormal physiological parameter identification unit for the elderly, a standard diet menu storage unit for the elderly, a restricted menu storage unit corresponding to abnormal physiological parameters, a diet menu generation unit for the elderly, and a diet menu selection output unit for the elderly;

[0110] The elderly person's physiological parameter acquisition unit collects the elderly person's physiological parameter data through the human physiological index measurement sensor; the healthy person's physiological parameter storage unit is used to store the normal physiological parameter interval data of the healthy person; the elderly person's abnormal physiological parameter identification unit uses a data recognition algorithm to compare the elderly person's physiological parameter data with the normal physiological parameter interval data of the healthy person according to the physiological parameter type, and identifies the elderly person's physiological parameter identifier that does not belong to the normal physiological parameter interval to generate the elderly person's abnormal physiological parameter data; the standard elderly care diet menu storage unit is used to store the standard elderly care diet menu data; abnormal physiological parameter corresponding The restricted dish storage unit is used to store the restricted dish data corresponding to the abnormal physiological parameters; the elderly person can select the diet menu generation unit, which screens the diet menu that meets the elderly person's physiological state according to the elderly person's abnormal physiological parameter data and the restricted dish data corresponding to the abnormal physiological parameters and the standard elderly diet menu data, and analyzes and generates the elderly person's selected diet menu data; the elderly person determines the diet menu selection output unit, which displays the elderly person's selected diet menu data through a display device according to the elderly person's selected diet menu data, and the elderly person selects the diet according to their own needs, collects the selected diet dishes, generates the elderly person's determined diet menu data and outputs it;

[0111] The logistics management module for purchasing food ingredients for the elderly includes a measurement unit for determining food items for the elderly, a weight storage unit for food ingredients corresponding to different types of single servings of food items, a measurement unit for purchasing food ingredients for the elderly, and an output unit for purchasing food ingredients for the elderly;

[0112] The dietary dish measurement unit for the elderly is used to measure the total amount of all the dietary dishes for the elderly according to the dietary dish menu data determined by the elderly and the types of dietary dishes, and generate the total amount data of the dietary dishes determined by the elderly; the weight storage unit for the corresponding ingredients of different types of single-serving dietary dishes is used to store the types and weight data of the corresponding ingredients of different types of single-serving dietary dishes; the dietary ingredient purchase quantity measurement unit for the elderly is used to measure and summarize the ingredients required for the dishes according to the total amount data of the dietary dishes determined by the elderly and the types and weight data of the corresponding ingredients of different types of single-serving dietary dishes, and generate the dietary ingredient purchase quantity data for the elderly; the dietary ingredient purchase quantity output unit for the elderly is used to output the dietary ingredient purchase quantity data for the elderly;

[0113] The personal safety logistics management module for the elderly includes a vital sign parameter collection unit for the elderly, a safety vital sign parameter storage unit for the elderly, an abnormal vital sign parameter detection unit for the elderly, and an abnormal vital sign problem feedback and early warning unit for the elderly;

[0114] The elderly person's vital sign parameter collection unit collects the elderly person's vital sign parameter data through human physiological index measurement sensors; the elderly person's safety vital sign parameter storage unit is used to store the elderly person's safety vital sign parameter interval data; the elderly person's abnormal vital sign parameter detection unit uses a data recognition algorithm to compare the elderly person's vital sign parameter data with the elderly person's safety vital sign parameter interval data according to the vital sign parameter type, identifies the elderly person's vital sign parameter identifier that does not belong to the safety vital sign parameter interval, and generates the elderly person's abnormal vital sign parameter data; the elderly person's abnormal vital sign problem feedback and early warning unit provides feedback and early warning based on the elderly person's abnormal vital sign parameter data.

[0115] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for managing Internet logistics services, characterized in that: The method comprises the following steps: S1, collecting physiological parameter data of elderly people, said S1 comprises the following steps: S11, measure the physiological indicators of the elderly online through the human physiological indicator measurement sensor and generate the physiological parameter data set A of the elderly = (a1, ..., a u ,…,a α ), u=1,2,3,…,α; where a u represents the physiological parameter data of the u-th elderly person, α represents the maximum number of physiological parameter types, the physiological parameters include blood sugar, blood pressure, blood lipids and uric acid; the human physiological index measurement sensor includes a blood sugar measurement sensor, a blood pressure measurement sensor, a blood lipid measurement sensor, a uric acid measurement sensor, a body temperature measurement sensor, a pulse measurement sensor and a respiration measurement sensor; S2, using a data recognition algorithm to compare the physiological parameter data of the elderly with the normal physiological parameter interval data of healthy people according to the physiological parameter type, and identifying the physiological parameter identifiers of the elderly that do not belong to the normal physiological parameter interval to generate abnormal physiological parameter data of the elderly, wherein S2 includes the following steps: S21. Establish a data set of normal physiological parameter intervals for healthy people in Indicates the normal physiological parameter interval data of healthy people corresponding to the first type of elderly person's physiological parameter data a1; Represents the physiological parameter data a of the u-th type of elderly person u Corresponding normal physiological parameter interval data of healthy people; Represents the physiological parameter data a of the αth type of elderly care personnel α Corresponding normal physiological parameter interval data of healthy people; S22, using a data recognition algorithm to identify the elderly person's physiological parameter data set A. u According to the physiological parameter type number u and the normal physiological parameter interval data set B of the healthy population Physiological parameter values ​​are compared and the physiological parameter data of the elderly person that does not belong to the normal physiological parameter range is identified. u The data recognition algorithm identifies the elderly person's physiological parameter data a that does not belong to the normal physiological parameter range u The steps are as follows: S221, initializing the search space: determining the boundary and feasible domain of the search space of the normal physiological parameter interval data set B of the healthy population; S222, initializing the physiological parameter recognition role position: randomly selecting an initial healthy population normal physiological parameter interval data set B in the search space of the healthy population normal physiological parameter interval data set B. Location; S223, calculate fitness: according to the problem solving requirements, calculate the current normal physiological parameter interval data of the healthy population searched by the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of the healthy population. Physiological parameter data of elderly people u The fitness value of S224, moving the physiological parameter identification role: according to the problem-solving strategy, moving the physiological parameter identification role and updating the position in the search space of the normal physiological parameter interval data set B of the healthy population; S225, update fitness: calculate the normal physiological parameter interval data of healthy people in the new position searched by the physiological parameter recognition role in the search space of the normal physiological parameter interval data set B of healthy people Physiological parameter data of elderly people u The fitness value of S226, update the optimal solution: if the calculated physiological parameter recognition role searches for the normal physiological parameter interval data set B of the healthy population at the new position of the normal physiological parameter interval data set B of the healthy population, the normal physiological parameter interval data set B of the healthy population is updated. Physiological parameter data of elderly people u The fitness value is better than the normal physiological parameter interval data of healthy people at the current location Physiological parameter data of elderly people u The fitness value of the new position is the normal physiological parameter interval data of healthy people. is the optimal solution, update the optimal solution; S227, when the maximum number of iterations is met, output the matching physiological parameter data a of the elderly according to the physiological parameter type u u Normal physiological parameter interval data of healthy people Compare physiological parameter values ​​and identify data that does not belong to the normal physiological parameter range of healthy people The physiological parameter data of the elderly person a u ; Otherwise, return to step S223 until the maximum number of iterations is met; S23, filtering out the data that does not belong to the normal physiological parameter interval of the healthy population in step S227 Corresponding physiological parameter data a of the elderly person u Identify as abnormal physiological parameter data of elderly persons and establish abnormal physiological parameter data set of elderly persons A'=(a' u1 ,…,a' u2 ), 1≤u1≤u≤u2≤α, where a' u1 represents the abnormal physiological parameter data of the u1th elderly person, a' u2 Indicates the abnormal physiological parameter data of the u2th elderly person; S3, screening a diet menu that meets the physiological state of the elderly according to the abnormal physiological parameter data of the elderly, the restricted dish data corresponding to the abnormal physiological parameters, and the standard elderly diet menu data, and analyzing and generating diet menu data selected by the elderly, wherein S3 includes the following steps: S31, obtaining a data set A' of abnormal physiological parameters of elderly persons; S32, establish a standard elderly diet menu data set C = (c1, ..., c o ,…,c β ), o=1,2,3,…,β; where c o represents the menu data of the oth type of standard elderly diet dishes, β represents the maximum number of types of standard elderly diet dishes, and the standard elderly diet dishes include Sichuan cuisine, Cantonese cuisine, Jiangsu cuisine, Anhui cuisine, Zhejiang cuisine and Hunan cuisine; Establish abnormal physiological parameters corresponding to restricted dishes data set D = (C' u1 ,…,C' u2 ), where C' u1 Indicates the abnormal physiological parameter data u1 of the elderly care personnel corresponding to the restricted food data, C' u1 Belongs to the subset of C; C' u2 Indicates the abnormal physiological parameter data u2 corresponding to the abnormal physiological parameter of the elderly person and the corresponding restricted dish data, C' u2 Belongs to the subset of C; S33, using a breadth-first search algorithm to search for abnormal physiological parameter data a' of the elderly in the abnormal physiological parameter data set A' of the elderly. u1 to a' u2 As the search keyword, search for the corresponding abnormal physiological parameter corresponding restricted dish data set D to obtain the corresponding abnormal physiological parameter corresponding restricted dish data C' u1 To C' u2 ; S34, obtaining the standard elderly diet menu data set C, and using a breadth-first search algorithm to search for the abnormal physiological parameters found in step S33 corresponding to the restricted menu data C' u1 To C' u2 As the search keyword, the corresponding standard elderly diet menu data set C is searched in the standard elderly diet menu data set C. o , the searched standard elderly diet menu data c o The standard elderly food menu data set C is filtered and deleted, and the standard elderly food menu data set C after the filtering and deletion process is generated as a food menu data set C for elderly persons to select. 选择 ; S4, displaying the menu data of food dishes selected by the elderly through a display device, the elderly select food dishes according to their own needs, collecting the selected food dishes to generate the menu data of food dishes determined by the elderly and outputting them, said S4 includes the following steps: S41, the menu data set C of the food dishes selected by the elderly 选择 The elderly person's selected food menu data is displayed to the elderly person through a display device. The elderly person slides his finger on the surface of the display device to browse the elderly person's selected food menu data, and clicks to select the elderly person's selected food menu data corresponding to the food menu data according to his own needs. The elderly person's selected food menu data selected by the click is collected to generate the elderly person's determined food menu data set C 确定 and output, the display device comprising at least one of a mobile phone, a tablet computer, and a laptop computer; S5, according to the menu data of the food dishes determined by the elderly, the total amount of the food dishes of all the elderly is summarized and measured according to the types of food dishes, and the total amount data of the food dishes determined by the elderly is generated; according to the total amount data of the food dishes determined by the elderly and the types and weight data of the ingredients corresponding to the single servings of different types of food dishes, the ingredients required for the dishes are measured, summarized and the food ingredients purchase quantity data of the elderly is generated and output, and the S5 includes the following steps: S51, obtaining a set of dietary menu data C of all the elderly persons in the nursing home 确定 Measure the total amount of food for all elderly people by category and generate a data set of the total amount of food for elderly people o=1,2,3,…,β; where e1 represents the total amount of food and drink determined by the elderly corresponding to the standard elderly food and drink menu data c1; e o Represents the standard elderly diet menu data c o The corresponding elderly care personnel determine the total amount of food and dishes; β Represents the standard elderly diet menu data c β The corresponding elderly care personnel determine the total amount of food dishes; S52. Establishing a data set of food type and weight corresponding to different types of single-serving food dishes o=1,2,3,…,β; where f1 represents the single-portion standard elderly diet menu data, and c1 corresponds to the type and weight data of ingredients corresponding to the different types of single-portion diet dishes required; f o Represents a single serving of standard elderly diet menu data c o The types and weights of ingredients for different types of single-serving meals; β Represents a single serving of standard elderly diet menu data c β The types and weights of ingredients corresponding to the different types of single-serving meals required; the specific size of the single-serving meal depends on the specific nursing home’s dietary provisions for the elderly, and the types and weights of ingredients indicate the types and weights of ingredients required to prepare the specific meals; S53, the total amount of food and drink data e1 to c in the total amount of food and drink data set E determined by the elderly are collected. β The data f1 to f2 corresponding to the types and weights of ingredients of different types of single-serving food dishes in the data set F corresponding to the types and weights of ingredients of different types of single-serving food dishes β According to the food type o number, the product processing is performed to generate the food type and weight measurement data set F'=(e1×f1,…,e o ×f o ,…,e β ×f β ), where e1×f1 represents the types of ingredients and weight measurement data corresponding to different types of diet dishes corresponding to the standard elderly diet menu data c1; e o ×f o Represents the standard elderly diet menu data c o The corresponding food ingredients and weight measurement data for different types of food dishes; β ×f β Represents the standard elderly diet menu data c β The corresponding ingredient types and weight measurement data for different types of food dishes; S54, the ingredient types and weight measurement data set F' corresponding to the ingredient types and weight measurement data of the different types of food dishes are combined into the ingredient types and weight measurement data set F' corresponding to the ingredient types and weight measurement data of the different types of food dishes. o ×f o Classify and count the weight of each ingredient according to the type of ingredients, and generate and output the data G of the amount of ingredients purchased for the elderly; S6. When the purchase and measurement of food ingredients for the elderly are completed, the vital sign parameter data of the elderly are collected. S6 includes the following steps: S61. When the purchase and measurement of food ingredients for the elderly are completed, the vital signs of the elderly are measured online through the human physiological index measurement sensor and a vital sign parameter data set H of the elderly is generated. v ,…,h δ ), v = 1, 2, 3, ..., δ; where h v represents the vital sign parameter data of the vth type of elderly person, δ represents the maximum number of types of vital sign parameters, and the vital sign parameters include body temperature, respiration and pulse; S7, using a data recognition algorithm to compare the vital sign parameter data of the elderly with the safe vital sign parameter interval data of the elderly according to the vital sign parameter type, identifying the vital sign parameter identifiers of the elderly that do not belong to the safe vital sign parameter interval, generating abnormal vital sign parameter data of the elderly, and providing feedback warning, wherein S7 includes the following steps: S71. Establish a data set of safety vital signs parameter intervals for elderly people in Indicates the elderly care worker's safety vital sign parameter interval data corresponding to the elderly care worker's vital sign parameter data h1; Represents the vital signs parameter data of the elderly person h v Corresponding safety vital sign parameter interval data of the elderly; Represents the vital signs parameter data of the elderly person h δ Corresponding safety vital sign parameter interval data of the elderly; S72, using the data recognition algorithm in step S22 to identify the vital sign parameter data h of the elderly in the vital sign parameter data set H v The interval data of the safety vital signs parameters of the elderly in the data set K Compare the values ​​of the vital sign parameters according to the vital sign parameter type number v; S73, when The warning operation will not be executed; Then the vital sign parameter data h v Identify and generate abnormal vital sign parameter data for elderly care personnel And the abnormal vital sign parameter data of the elderly Feedback is sent to the nursing home safety control center to issue an early warning to the staff to inform them that the corresponding nursing home residents are at risk of life.

2. A system for implementing an Internet logistics service management method as described in claim 1.

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