CN109408503B - Cooperative old-age care service method and system based on intelligent terminal and big data analysis - Google Patents
Cooperative old-age care service method and system based on intelligent terminal and big data analysis Download PDFInfo
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- CN109408503B CN109408503B CN201810761518.5A CN201810761518A CN109408503B CN 109408503 B CN109408503 B CN 109408503B CN 201810761518 A CN201810761518 A CN 201810761518A CN 109408503 B CN109408503 B CN 109408503B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
Abstract
The invention relates to a collaborative endowment service method and a collaborative endowment service system based on an intelligent terminal and big data analysis. According to the invention, through a classification algorithm, massive information data obtained by remotely monitoring the old are integrated and then subjected to large-scale data analysis, so that the requirement of the old on omnibearing personalized service is met. The intelligent terminal can directly intervene in the internet through a mobile phone network to independently work, and the system has an automatic learning function, can identify abnormal phenomena and automatically gives an alarm. The invention can make the guardian know the physical condition of the old in real time through various networks existing beside the body, and automatically send a message to the family of the user or make a call to a hospital to request rescue in case of emergency, such as the state that the body is discomfortable and needs rescue and the state that the disease is suddenly cured, and take corresponding measures in time.
Description
Technical Field
The invention belongs to the technical field of big data, and particularly relates to a collaborative endowment service method and a collaborative endowment service system based on an intelligent terminal and big data analysis.
Background
Wisdom endowment is the new theory that adapts to modern information technology and old person's demand and produces, and the core lies in the all kinds of terminals of application, makes old man's daily life be in remote monitoring state, closely links up old man, government, community etc. and provides safe convenient, healthy comfortable new modern mode of endowing with the service for old person.
The Japan carries out the small-scale multifunctional robot to assist the nursing for the aged, and the old is visited and nursed by going up the door; the United states actively promotes the research and development of the health Internet of things technology of the old people, establishes a mobile medical network and provides monitoring for the old people. In view of the development of the world intelligent aged care products, the development is still in the initial research stage.
However, currently, intelligent old people care products in China are single, for example, a portable heart monitor, a little talent watch, a meow star science and technology safety bracelet and the like, and these products or portable health detection equipment can only obtain specific data in a specific application field; or some old bracelets do not carry out deep analysis on the data, the obtained data are only used for daily checking or are compared with normal conditions to prevent sudden danger, and no data feedback service exists, and all the products can not meet various requirements of the old.
At present, various products in the world endowment market are focused on data monitoring, and no system or method for meeting all-around personalized requirements of the old through large-scale data analysis and realizing the conversion of endowment services from point to point, packet to packet and packet to point exists.
Disclosure of Invention
The invention aims to overcome the defects of the existing endowment service market products, and provides a collaborative endowment service method and system based on an intelligent terminal and big data analysis.
The invention designs a cooperative endowment service system based on an intelligent terminal and big data analysis, and aims to solve the problems that children are difficult to accompany the old all the day due to work constraint caused in a modern family structure, the health condition of the old cannot be known in real time through the existing communication equipment, correct feedback protection is made, and the problems of irrecoverable regret and the like are caused.
According to the cooperative endowment service method based on the intelligent terminal and the big data analysis, massive information data obtained by remotely monitoring the old, including monitoring data of the life state, the physical function and the psychological state of the old, are subjected to large-scale data analysis through integration, so that the all-round personalized service requirements of the old are met. The method provided by the invention can enable a guardian to know the physical condition of the old in real time through various networks existing beside the guardian, and automatically send a message to the family of the user or make a call to a hospital to request rescue in case of emergency, such as the state that the body is discomfortable and needs rescue and the state that the disease is suddenly developed to the end, and take corresponding measures in time.
In order to achieve the purpose, the invention adopts the following technical scheme:
a collaborative endowment service system based on an intelligent terminal and big data analysis comprises: intelligent terminal, third party application, network service center, data center, operation center, wherein,
the intelligent terminal comprises: intelligent wearable equipment and intelligent monitoring equipment; the network service center comprises: the system comprises an application server A, an application server B, an application database server and a reverse proxy server; the data center comprises: the system comprises a core database, an application server C, a big data storage server and an interface server; the operation center comprises: an application server D; the third party application comprises an external application;
the intelligent terminal is connected with the application server A, the application server B and the interface server through the reverse proxy server, each device of the intelligent terminal acquires relevant data of a wearer, packages the data into a request through a network, submits the request to the application server A, the application server B and the interface server, presets logic on the execution server, acquires callback data, invokes corresponding sensors to execute operation according to the callback data, or displays a prompt instruction on a display screen of each device of the intelligent terminal;
the external application is connected with the application server A, the application server B and the interface server through the reverse proxy server, collected data are packaged into requests through a network and are submitted to the application server A, the application server B, the core database and the big data storage server, the server displays, processes and receives command instructions of the received data, data returned to the terminal are generated and returned to each device of the intelligent terminal layer and the external data layer, and the devices implement display and operation according to the returned data;
external data is processed after being transmitted to an application server A through a reverse proxy server, and a processing result is transmitted to a core database and a big data storage server through an interface server; the application server B sends the processed data to an application data server of a network service center; the application server C is used for processing the data in the big data storage server and putting the processed data into the core database;
the network service center accesses or reads data in the data center through the interface server; the interface server provides data reading and writing, uploading and downloading channels for the core database and the big data storage server;
the core database is used for storing system secret data and isolating data of each external terminal and third-party application; the big data storage server is used for storing big data, the application server C is connected with the core database and the big data storage server, and the data of the big data storage server are processed and then sent to the core database.
Preferably, the method comprises the following steps: the operation center further comprises: a liquid crystal panel array controller, a liquid crystal panel 1 … N; the application server D exchanges data with the core database, and the result is displayed on a liquid crystal screen 1 … N (5.3) through a liquid crystal screen array controller; the liquid crystal display array controller is a visual data display core controller, processes and draws acquired data to be a chart, then distributes the chart to the liquid crystal display 1 … N, analyzes and monitors the condition of the old through the operation center, takes corresponding measures, sends a control instruction to the system, and transmits the control instruction to the intelligent terminal and a third party for application.
Preferably, the intelligent terminal acquires the data of the wearer, and the method comprises the following steps: longitude and latitude of equipment, moving speed of a carrier of the equipment, video data right in front of the equipment, body surface temperature of a user of the equipment, heart rate, blood pressure, walking steps and sleep quality data.
A collaborative endowment service method based on an intelligent terminal and big data analysis comprises the following steps:
step 1: terminal data uploading server
The intelligent terminal and the third-party application transmit data to the core database and then enter step 2.1, or transmit data to the big data storage server and then enter step 2.3, or transmit data to the application server A, B and then enter step 2.2; the step is used for acquiring terminal data and sending the terminal data to various servers;
step 2: the application server processes the received data to generate data to be processed
Step 2.1, the application server A receives the submitted data and processes the data, submits the data received by the processing result to a core database, and then the step 3.1 is carried out;
step 2.2, the application server B processes the submitted data after receiving the data, reads and writes the operation database according to the instruction, operates the database, stores the processing result of the data in the database of the application database server, and then turns to step 3.2;
the class A of the application server processes the data and submits the processed data to a core database, and the class B of the application server processes the data and stores the processed data in a local database;
step 2.3, the application server C processes the data in the big data storage server, submits the data received by the processing result to the core database, and then the step 3.1 is carried out;
and step 3: each application server processes the data and generates data to be transmitted back to each terminal, and the data are stored in storage equipment of different levels; wherein:
step 3.1, the application server D extracts data from the core database, analyzes the data, performs data visualization and simultaneously transmits the data to the liquid crystal screen array controller, the liquid crystal screen array controller respectively displays the data to the liquid crystal screen 1 … N, the running state of the system is observed through the display, a command is submitted to the system and transmitted to the application server D, the application server D writes a control result into the core database, the control result is acquired by the application server A through the interface server, and the step 4 is entered;
step 3.2, the application server B processes the data, generates return data according to the response result of the read-write application database server according to the preset service logic, and returns the return data to the terminal equipment, and the step 4.2 is carried out;
in the step 3.1, the operation center implements display and generates a control command, the control command is stored in a core database, and the application server A extracts the command through the interface server and returns the command to the intelligent terminal and the external application; step 3.2, the application server B is arranged at a network service center layer;
and 4, step 4: after the data processing of the application server is finished, transmitting the returned data stored in the storage equipment of each hierarchy to each terminal and an external data interface, realizing the sending of control commands and the display of the returned data, and starting to return the data; wherein:
step 4.1, after the application server A obtains the control command and the returned data command through the interface server, reading and writing the database according to the command required by the command, returning the obtained data to each terminal device of the intelligent terminal and the external application of the third party application, and the intelligent terminal obtains the control command through the application server A and then goes to step 5;
step 4.2, the intelligent terminal sends the control instruction and the return data acquisition control instruction to each intelligent terminal of the intelligent terminal and external application of third-party application through the application server B, and then the step 5 is carried out;
4.3, each device of the intelligent terminal directly obtains a control instruction and returned data through the network response of the interface server, and then the step 5 is carried out; the intelligent terminal acquires a control instruction from the core database at regular time, and then the step 5 is carried out;
and 5: terminal response return data
And 5, displaying and updating the data by each terminal device of the intelligent terminal and an external application of the third-party application according to the received data and the control instruction returned by each server, and executing the control instruction, the instruction or invoking a sensor to execute the control instruction and the instruction.
Compared with the prior art, the invention has the advantages that:
1) the terminal of the system directly intervenes in the internet through a mobile phone network to independently work, does not depend on other equipment, and reduces redundancy.
2) The system can collect information from the old in all directions, establish a real-time dynamic database, has an automatic learning function, can identify abnormal phenomena and give an alarm in time, and informs a family and an operation center at the first time when the old encounters dangerous cases.
Drawings
FIG. 1 is a system connection relationship diagram of a collaborative endowment service method based on an intelligent terminal and big data analysis;
FIG. 2 is a flow chart of a collaborative endowment service method and system based on an intelligent terminal and big data analysis.
Detailed Description
The present embodiment will be described in detail with reference to fig. 1 to 2.
As shown in fig. 1, the present invention provides a collaborative endowment service system based on an intelligent terminal and big data analysis: the method comprises the following steps: the system comprises an intelligent terminal (1), a third-party application (2), a network service center (3), a data center (4) and an operation center (5); wherein:
the intelligent terminal 1 includes: the intelligent wearable equipment (1.1), the intelligent monitoring equipment (1.2) and other intelligent equipment (1.3) comprise intelligent household equipment and the like; wherein:
the intelligent wearable device (1.1), the intelligent monitoring device (1.2) and other intelligent devices (1.3) are connected to an application server A type (3.2), an application server B type (3.3) and an interface server (4.1) through a reverse proxy server (3.1), the devices acquire relevant data of a wearer, package the data into requests through a network, submit the requests to the application server A type (3.2), the application server B type (3.3) and the interface server (4.1), preset logic on an execution server, the intelligent terminal device 1 acquires callback data, invoke corresponding sensors to execute operations according to the callback data, or display a prompt instruction on a display screen of the terminal device.
The third-party applications (2) including the external applications (2.1) comprise: the old man wears the watch intelligently; wherein: the external application (2.1) is connected with the application server class A (3.2), the application server class B (3.3) and the interface server (4.1) through the reverse proxy server (3.1), the collected data is packaged into a request through a network to be submitted to the application server class A (3.2), the application server class B (3.3), the core database (4.2) and the big data storage server (4.3), the server displays, processes and receives command instructions of the received data, data returned to the terminal are generated and returned to each device of the intelligent terminal layer and the external data layer, and the devices implement display and operation according to the returned data.
The network service center 3 comprises a reverse proxy server (3.1), an application server class A (3.2), an application server class B (3.3) and an application database server (3.4); wherein: the reverse proxy server (3.1) transmits external data to an internal application server or an interface server, hides an internal address and a port of the internal server, reduces the risk of attacking the server and the database, and achieves the effects of intranet safety and load balancing;
the difference between the application server class A (3.2) and the application server class B (3.3) is that the former sends the received data to the data center (4) after being processed by the interface server (4.1), and the latter does not send the data to the data center (4) after processing the data, but stores the data in the application data server (3.4) of the network service center (3); the external data are transmitted to the application server class A (3.2) through the reverse proxy server (3.1) and then processed, the processing result is transmitted to the core database (4.2) and the big data storage server (4.3) through the interface server (4.1) of the data center (4), the application server class C (4.3) is used for processing the data in the big data storage server (4.3), and the processed data are placed in the core database (4.2).
The data center 4 comprises an interface server (4.1), a core database (4.2), a big data storage server (4.3) and an application server C type (4.4); wherein:
the network service center (3) accesses or reads data in the data center (4) and must pass through the interface server (4.1); the interface server (4.1) provides data reading, writing, uploading and downloading channels for the core database (4.2) and the big data storage server (4.3).
The core database (4.2) is used for storing all key secret data of the system and isolating data of each external terminal (1) and the third-party application (2); the big data storage server (4.3) is used for storing big data, the application program server C (4.4) is connected with the core database (4.2) and the big data storage server (4.3) through the data center (4) local area network, and the data of the big data storage server (4.3) are processed and then sent to the core database (4.2).
The operation center 5 comprises an application server D type (5.1), a liquid crystal screen array controller (5.2) and a liquid crystal screen 1 … N (5.3); wherein:
the application server D class (5.1) exchanges data with the core database (4.2) through an intranet, and the result is displayed on a liquid crystal screen 1 … N (5.3) through a liquid crystal screen array controller (5.2); the liquid crystal screen array controller (5.2) is a visual data display core controller, processes and draws acquired data to be a chart, then distributes the chart to the liquid crystal screen 1 … N (5.3), so that workers of the operation center (5) can analyze and monitor the conditions of the old, take corresponding measures, send control instructions to the system and transmit the control instructions to the intelligent terminal (1) and the third-party application (2).
As shown in fig. 2, a collaborative endowment service method based on an intelligent terminal and big data analysis includes the following steps:
step 1: terminal data uploading server
The intelligent terminal (1) and a third-party external application program (2.1) transmit data to a core database (4.2) through a network and then enter step 2.1, or transmit data to a big data storage server (4.3) and then enter step 2.3, or transmit data to an application server (A, B type) and then enter step 2.2; the step is used for acquiring terminal data and sending the terminal data to various servers;
step 2: the application server processes the received data to generate data to be processed
Step 2.1, the application server A type (3.2) processes the submitted data after receiving the submitted data, submits the data received by the processing result to a core database (42), and then the step 3.1 is switched;
step 2.2, the application server B type (3.3) processes the submitted data after receiving the submitted data, reads and writes an operation database according to the instruction, operates the database, stores the processing result of the data in the database of the application database server (3.4), and then the step 3.2 is carried out;
the difference between step 2.1 and step 2.2, namely the difference between application server class a (3.2) and application server class B (3.3), is that: the class A of the application server processes the data and submits the processed data to a core database, and the class B of the application server processes the data and stores the processed data in a local database;
step 2.3, the application server C type processes the data in the big data storage server (4.3), submits the data received by the processing result to the core database (4.2), and then step 3.1 is carried out;
the step is used for storing the data of each terminal after each server receives the data, and preparing for data processing;
and step 3: each application server processes the data and generates data to be transmitted back to each terminal, and the data are stored in storage equipment of different levels; wherein:
step 3.1, the application server D class (5.1) extracts data from the core database (4.2), analyzes the data and performs data visualization, the data are transmitted to the liquid crystal screen array controller (5.2) through a display data line, the liquid crystal screen array controller (5.2) respectively displays the data to the liquid crystal screen 1 … N (5.3), a system administrator and an operator observe the system running state through a display, submit a command to the system and transmit the command to the application server D class (5.1), the application server D class (5.1) writes a control result into the core database (4.2), the control result is obtained by the application server A class (3.2) through the interface server (4.1), and the step 4 is entered;
step 3.2, the application server B type (3.3) processes data, generates return data according to the response result of the read-write application database server according to the preset service logic, and returns the return data to the terminal equipment, and then the step 4.2 is carried out;
the difference between step 3.1 and step 3.2 is: step 3.1, the operation center layer (5) implements display and generates control instructions, the control instructions are stored in a core database (4.2), and the application server A (4.1) extracts the instructions through the interface server (4.1) and returns the instructions to the intelligent terminal layer (1) and the external application layer (2); step 3.2 application server class B (3.3) at network service center layer (3)
And 4, step 4: after the data processing of the application server is finished, transmitting the returned data stored in the storage equipment of each hierarchy to each terminal and an external data interface, realizing the sending of control commands and the display of the returned data, and starting to return the data; wherein:
step 4.1, after the application server A class (3.2) obtains a control instruction and a return data instruction through the interface server (4.1), reading and writing the database according to the instruction required by the instruction, returning the obtained data to each intelligent terminal network module and the external application (2.1), and the intelligent terminal obtains the control instruction through the application server A class (3.2) and then enters step 5;
step 4.2, the intelligent terminal sends the control instruction and the return data acquisition control instruction to each intelligent terminal and the external application (2.1) through the type B (3.3) of the application server, and then the step 5 is carried out; turning to the step 5;
4.3, each device of the intelligent terminal layer (1) directly obtains a control instruction and returned data through the network response of the interface server (4.1), and then the step 5 is carried out; the intelligent terminal acquires the control instruction from the core database (4.2) at regular time and enters step 5.
The differences among the step 4.1, the step 4.2 and the step 4.3 are as follows: the control instruction and the return data are respectively sent by an application server A type (3.2), actively read by each device of the intelligent terminal layer (1) and sent by an application server B type (3.3);
and 5: the terminal responds to the returned data:
and 5, displaying and updating the data by the terminal equipment of the intelligent terminal layer (1) and the application of the external application layer (2) according to the received data and the control instruction returned by each server, executing the control instruction and transferring the sensor to execute the information acquisition instruction.
Example 1:
as shown in fig. 1, the collaborative endowment service system based on the intelligent terminal and big data analysis is composed of an intelligent terminal 1, a third-party application 2, a network service center 3, a data center 4 and an operation center 5;
1.1 Intelligent terminal 1
In the embodiment, the WATCH 2 pro model is selected as the intelligent wearable device,
the compatible platform is ANDROID and iOS, and the equipment supports the functions of independent call, motion monitoring, mobile payment and GPS positioning. Millet brand mijia xiaobai camera is as intelligent supervisory equipment, and its compatible platform is ANDROID, MIUI, iOS, and the camera is 360 panorama camera shooting, and 1080P high definition camera shooting can two-way duplex conversation. The connection relationship is as follows:
the intelligent wearable device, named WATCH 2 pro (1.1), the intelligent monitoring device, Mijia Xiaobai camera (1.2) and other intelligent devices (1.3) are connected to an application server, named FusionServer RH 2288V 3 (3.1), via a reverse proxy server, named FusionServer HP Proliant DL 380G 5 (3.2), an application server, named ThinkServer B, RD 450E 5-2650V4 (3.3), and an interface server, named FusionServer RH 2288V 3 (4.1), the device acquires relevant data of a wearer, including device longitude and latitude, device carrier moving speed, video material right in front of the device, device user body surface temperature, heart rate, blood pressure, walking step number and sleep quality data, packages the data into a request through a network, submits the request to an application server, named HP Proliant DL 380G 5 (3.2), an application server, named ThinkServer RD 450E 5-2650V4, and the FusionServer RH 364V 2288 (3) interface 364.1), presetting logic on the execution server, acquiring callback data by the intelligent terminal equipment 1, and invoking corresponding sensor execution operation according to the callback data or displaying a prompt instruction on a display screen of the terminal equipment;
1.2 third party applications 2
In the embodiment, the connection relationship of the Gal intelligent sleep monitor is as follows:
external application Galois intelligent sleep monitor (2.1) through reverse proxy server
FusionServer RH 2288V 3 (3.1) connected to the application server class a HP prolient DL 380G 5 (3.2), the application server class B ThinkServer RD 450E 5-2650V4 (3.3) and the interface server (4.1), and packages the collected data via the network into requests to be submitted to the application server class a HP prolient DL 380G 5 (3.2), the application server class B ThinkServer RD 450E 5-2650V4 (3.3) and the core database HP prolient DL Gen9(719064-B21) (4.2), the big data storage server association System X3850X 6(6241I23) (4.3), said server displaying, processing and accepting the received data, generating data to be returned to the terminal, returning to the intelligent devices of the terminal and external data layer, said devices performing display and operation according to the data;
1.3 network service center 3
In the embodiment, an HP Proliant DL 380G 5 model is selected as an application Server, a Microsoft Windows Server 2016 system is installed, a Xeon B5405 processor and 3 SATA 146TB hard disks are adopted, and a memory is 64G. The Dell/Daire R730/740 server is used as an application database server, the memory is allocated to 8G, the CPU model is as strong as E5-2600 v3, the interface is SATA2, and the rack server structure is 2U. The method selects fusion Server RH 2288V 3 as a reverse proxy server, the CPU model is Xeon E5-2620V 2, the memory capacity is 4GB, the interface is SATA, and the rack server structure is 2U. The connection relationship is as follows:
the reverse proxy server distributes the request to fusion Server RH 2288V 3 (3.1)
Corresponding external data are transmitted to an internal application server or an internal interface server, internal addresses and ports of an internal real server are hidden, the risk that the server and a database are attacked is reduced, and the effects of intranet safety and load balancing are achieved;
the application server A type HP Proliant DL 380G 5 (3.2) is a core database for external use
The difference between the application and management server of the data interface and the application server B type ThinkServer RD 450E 5-2650V4 (3.3) is that the former sends the received data into the data center (4) after being processed by the interface server, namely fusion Server RH 2288V 3 (4.1), and the latter does not send the data into the data center (4) after processing the data, but stores the data into the application database server Dell/Deler R730/740 (3.4) of the network service center (3); the external data is distributed to be processed after being transferred to the HP Proliant DL 380G 5 (3.2) of the A type of the application server by the request of the reverse proxy server, the external data is transferred to be processed, the processing result is passed through, the preset logic code is executed, the interface server in the data center (4) is called to be transferred to the core database HP Proliant DL388 Gen9(719064-B21) (4.2) and the database interface server in the big data storage server association System X3850X 6(6241I23) (4.3) is transferred to be fused Server RH 2288V 3 (4.1), the application server C type ThinkServer RD450 RD 5-2650V4 (4.3) is used for processing the data in the big data storage server association System X3850X 6 (4641I) (6284) (4.2) of the HP Proliant DL 719064 in the core database is transferred to be processed by the kernel database interface server DL 719064 (4.2) (4.3), the processing result instruction is transmitted to a corresponding device in the intelligent terminal 1 connected with the reverse proxy server to become fusion Server RH 2288V 3 (3.1);
the application server B type ThinkServer RD 450E 5-2650V4 (3.3) is an application and management server of an application database server Dell/Dell R730/740 (3.4), after a request of a reverse proxy server Huanshier fusion Server RH 2288V 3 (3.1) is distributed to the application server B type ThinkServer RD 450E 5-2650V4 (3.3), the application server B type ThinkServer RD 450E 5-2650V4 executes a preset program, a record of a processing result Huanshier fusion Server RH 2288V 3 (3.1) is returned to the intelligent terminal 1 through the reverse proxy server, and the processed data is put into a database of the application database server Dell/Dell R730/740 (3.4);
application database server Dell/Dall R730/740 (3.4) is application server class B
The management server of the ThinkServer RD 450E 5-2650V4 (3.3) database provides a management interface of the ThinkServer RD 450E 5-2650V4 (3.3) database of the B type of the application service layer, and only receives the management and scheduling of the ThinkServer RD 450E 5-2650V4 (3.3) of the B type of the application server;
1.4 data center 4
In the embodiment, the ThinkServer RD 450E 5-2650V4 model is selected as the application suit
The CPU model of the server is Xeon E5-2609 v3, the memory capacity is 4GB, the interface is SATA, and the blade server structure is 2U. HP ProLiant DL388 Gen9(719064-B21) is selected as a core database, the CPU model is Xeon E5-2620 v3, the memory capacity is 16GB, the interface is SATA, and the structure of a rack server is 2U. The method selects fusion Server RH 2288V 3 as an interface server, the CPU model is Xeon E5-2620V 2, the memory capacity is 4GB, the interface is SATA, and the rack server structure is 2U. An association System X3850X 6(6241I23) is selected as a big data storage server, the CPU model is Xeon E7-4820 v4, the memory capacity is 64GB, the interface is SATA, and the rack server structure is 4U. The connection relationship is as follows:
the network service center (3) accesses or reads data in the data center (4), and the data must be transferred to fusion Server RH 2288V 3 (4.1) through an interface server; the interface server was fusion Server RH 2288V 3 (4.1) and provided a data read-write, upload and download channel for the core database HP ProLiant DL388 Gen9(719064-B21) (4.2) and the big data storage server association System X3850X 6(6241I23) (4.3).
The core database HP ProLiant DL388 Gen9(719064-B21) (4.2) is used for storing all key security data of the system and isolating data of each external terminal (1) and a third party application (2); the big data storage server association System X3850X 6(6241I23) (4.3) is used for storing big data, the application server C type ThinkServer RD 450E 5-2650V4 (4.4) is connected with the core database HP ProLiant DL388 Gen9(719064-B21) (4.2) and the big data storage server association System X3850X 6(6241I23) (4.3) through a data center (4) local area network, and the data of the big data storage server association System X3850X 6(6241I23) (4.3) are processed and then sent to the core database HP ProLiant DL388 Gen9(719064-B21) (4.2).
The big data storage server association System x 38504.3 uses an open source version Redhat System- -CentOS as a bottom platform, utilizes Sqoop to import data, uses a Hadoop series open source System Spark QL to preprocess data, uses a Bayesian statistical classification method, collaborative filtering, a neural network, a decision tree, a genetic algorithm, differential analysis and a cluster detection technology to perform data modeling analysis, calculates a model of a best fitting result, visualizes the result (Analytic Visualizations), and transmits the result to the operation center 5.
1.5 operation center 5
In this embodiment, model RD 450E 5-2650V4 of ThinkServer is selected as the application
The server is used, the CPU model is Xeon E5-2609 v3, the memory capacity is 4GB, the interface is SATA, and the blade server structure is 2U. The Dagemei KS-350CT-I1 STK350C-01 is selected as a liquid crystal screen array controller, an attached LCDC main board is LCDC350C-01, and a cable KS-X7 CB. And selecting LMTM035QVGNCB-4R matched with the controller as a liquid crystal screen. The connection relationship is as follows:
RD 450E 5-2650V4 (5.1) of the application server class D ThinkServer exchanges data with a core database HP ProLiant DL388 Gen9(719064-B21) (4.2) through an intranet, and the result is displayed on a liquid crystal screen 1 … N Dagemei LMTM035QVGNCB-4R (5.3) through a liquid crystal screen array controller Dagemei KS-350CT-I1 STK350C-01 (5.2); the liquid crystal screen array controller Dacromet KS-350CT-I1 STK350C-01 (5.2) is a visual data display core controller, and the obtained data is processed to draw a chart and then distributed to the liquid crystal screen 1 … N Dacromet LMTM035QVGNCB-4R (5.3) for the staff of the operation center (5) to analyze and monitor the condition of the old, take corresponding measures and send a control instruction to the system to be transmitted to the intelligent terminal (1) and the third party application (2).
Claims (4)
1. The utility model provides a collaborative endowment service system based on intelligent terminal and big data analysis which characterized in that includes: intelligent terminal, third party application, network service center, data center, operation center, wherein,
the intelligent terminal comprises: intelligent wearable equipment and intelligent monitoring equipment; the network service center comprises: the system comprises an application server A, an application server B, an application database server and a reverse proxy server; the data center comprises: the system comprises a core database, an application server C, a big data storage server and an interface server; the operation center comprises: an application server D; the third party application comprises an external application;
the intelligent terminal is connected with the application server A, the application server B and the interface server through the reverse proxy server, each device of the intelligent terminal acquires relevant data of a wearer, packages the data into a request through a network, submits the request to the application server A, the application server B and the interface server, presets logic on the execution server, acquires callback data, invokes corresponding sensors to execute operation according to the callback data, or displays a prompt instruction on a display screen of each device of the intelligent terminal;
the external application is connected with the application server A, the application server B and the interface server through the reverse proxy server, collected data are packaged into requests through a network and are submitted to the application server A, the application server B, the core database and the big data storage server, the server displays, processes and receives command instructions of the received data, data returned to the terminal are generated and returned to each device of the intelligent terminal layer and the external data layer, and the devices implement display and operation according to the returned data;
external data is processed after being transmitted to an application server A through a reverse proxy server, and a processing result is transmitted to a core database and a big data storage server through an interface server; the application server B sends the processed data to an application data server of a network service center; the application server C is used for processing the data in the big data storage server and putting the processed data into the core database;
the network service center accesses or reads data in the data center through the interface server, and the interface server provides data reading, writing, uploading and downloading channels for the core database and the big data storage server;
the core database is used for storing system secret data and isolating data of each external terminal and third-party application; the big data storage server is used for storing big data, the application server C is connected with the core database and the big data storage server, and the data of the big data storage server are processed and then sent to the core database.
2. The collaborative endowment service system based on intelligent terminals and big data analysis, according to claim 1, comprising: the operation center further comprises: a liquid crystal panel array controller, a liquid crystal panel 1 … N; the application server D exchanges data with the core database, and the result is displayed on the liquid crystal screen 1 … N through the liquid crystal screen array controller; the liquid crystal display array controller is a visual data display core controller, processes and draws acquired data to be a chart, then distributes the chart to the liquid crystal display 1 … N, analyzes and monitors the condition of the old through the operation center, takes corresponding measures, sends a control instruction to the system, and transmits the control instruction to the intelligent terminal and a third party for application.
3. The collaborative endowment service system based on intelligent terminals and big data analysis, as claimed in claim 2, wherein the intelligent terminal obtains the wearer data, comprising: longitude and latitude of equipment, moving speed of a carrier of the equipment, video data right in front of the equipment, body surface temperature of a user of the equipment, heart rate, blood pressure, walking steps and sleep quality data.
4. A collaborative endowment service method based on an intelligent terminal and big data analysis is characterized by comprising the following steps:
step 1: terminal data uploading server
The intelligent terminal and the third-party application transmit data to the core database and then enter step 2.1, or transmit data to the big data storage server and then enter step 2.3, or transmit data to the application server A, B and then enter step 2.2; the step is used for acquiring terminal data and sending the terminal data to various servers;
step 2: the application server processes the received data to generate data to be processed
Step 2.1, the application server A receives the submitted data and processes the data, submits the data received by the processing result to a core database, and then the step 3.1 is carried out;
step 2.2, the application server B processes the submitted data after receiving the data, reads and writes the operation database according to the instruction, operates the database, stores the processing result of the data in the database of the application database server, and then turns to step 3.2;
the class A of the application server processes the data and submits the processed data to a core database, and the class B of the application server processes the data and stores the processed data in a local database;
step 2.3, the application server C processes the data in the big data storage server, submits the data received by the processing result to the core database, and then the step 3.1 is carried out;
and step 3: each application server processes the data and generates data to be transmitted back to each terminal, and the data are stored in storage equipment of different levels; wherein:
step 3.1, the application server D extracts data from the core database, analyzes the data, performs data visualization and simultaneously transmits the data to the liquid crystal screen array controller, the liquid crystal screen array controller respectively displays the data to the liquid crystal screen 1 … N, the running state of the system is observed through the display, a command is submitted to the system and transmitted to the application server D, the application server D writes a control result into the core database, the control result is acquired by the application server A through the interface server, and the step 4 is entered;
step 3.2, the application server B processes the data, generates return data according to the response result of the read-write application database server according to the preset service logic, and returns the return data to the terminal equipment, and the step 4.2 is carried out;
in the step 3.1, the operation center implements display and generates a control command, the control command is stored in a core database, and the application server A extracts the command through the interface server and returns the command to the intelligent terminal and the external application; step 3.2, the application server B is arranged at a network service center layer;
and 4, step 4: after the data processing of the application server is finished, transmitting the returned data stored in the storage equipment of each hierarchy to each terminal and an external data interface, realizing the sending of control commands and the display of the returned data, and starting to return the data; wherein:
step 4.1, after the application server A obtains the control command and the returned data command through the interface server, reading and writing the database according to the command required by the command, returning the obtained data to each terminal device of the intelligent terminal and the external application of the third party application, and the intelligent terminal obtains the control command through the application server A and then goes to step 5;
step 4.2, the intelligent terminal sends the control instruction and the return data acquisition control instruction to each intelligent terminal of the intelligent terminal and external application of third-party application through the application server B, and then the step 5 is carried out;
4.3, each device of the intelligent terminal directly obtains a control instruction and returned data through the network response of the interface server, and then the step 5 is carried out; the intelligent terminal acquires a control instruction from the core database at regular time, and then the step 5 is carried out;
and 5: terminal response return data
And 5, displaying and updating the data by each terminal device of the intelligent terminal and an external application of the third-party application according to the received data and the control instruction returned by each server, executing the control instruction, and invoking the sensor to execute the information acquisition instruction.
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| CN114638524A (en) * | 2022-03-28 | 2022-06-17 | 哈尔滨商业大学 | Intelligent endowment integrated service center information statistical method |
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