CN113489777A - Method and system for clustered data acquisition of Internet of things equipment - Google Patents
Method and system for clustered data acquisition of Internet of things equipment Download PDFInfo
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Abstract
The invention discloses a method for collecting clustered data of equipment of the Internet of things, which comprises the following steps: s1, detecting newly added data in a period of time by the data synchronization service, and averagely dividing the data into multiple threads; s2, selecting middleware according to the equipment protocol, and sending the changed data to the Internet of things equipment; s3, the Internet of things equipment acquires information according to the basic data, and then transmits the acquired data to the load balancing middleware, and the load balancing middleware polls the cluster server to acquire the data; s4, analyzing the data and persisting the data to a database by the data acquisition service; s5, the data acquisition service issues the data to an information acquisition notification channel of the Internet of things equipment of Redis, and the Redis notifies each subscribed service system; according to the invention, the data acquisition process from the data under the cloud to the Internet of things equipment is optimized, so that various Internet of things equipment can be managed conveniently, the acquired data can be processed uniformly, and a foundation can be provided for the subsequent service demand function.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a method and a system for clustered data acquisition of Internet of things equipment.
Background
The existing internet of things equipment such as a visitor machine, an attendance machine, a temperature measurement face recognition panel, an intelligent camera, an intelligent sensor and the like mostly use basic data such as personnel and scheduling information required by entering business into the equipment, then collect some user data by using functions of the internet of things equipment, and then export or directly send the user data to a cloud end by using the equipment to process the data so as to adapt to the flow of business requirements. Such a procedure suffers from several problems: 1) the data preparation process of the internet of things equipment is too complicated, the efficiency is low and the waiting time is long, and each piece of equipment needs to input data one by one or send data to a plurality of pieces of equipment through a cloud end; 2) data summarization of multiple devices needs to be exported to cloud data for processing for multiple times, or the efficiency of directly sending data to the cloud by the devices is low; 3) different internet of things devices have different data formats and issuing and collecting processes, the maintenance cost is high, and the process expansibility is low.
Disclosure of Invention
The invention aims to provide a method and a system for clustered data acquisition of Internet of things equipment, which aim to conveniently manage various Internet of things equipment and uniformly process acquired data by optimizing a data acquisition process from data under a cloud to the Internet of things equipment and can provide a basis for subsequent service demand functions.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for clustered data acquisition of Internet of things equipment comprises the following steps:
s1, detecting newly added data in a period of time by the data synchronization service, and averagely dividing the data into multiple threads;
s2, selecting middleware according to the equipment protocol, and sending the changed data to the Internet of things equipment;
s3, the Internet of things equipment acquires information according to the basic data, and then transmits the acquired data to the load balancing middleware, and the load balancing middleware polls the cluster server to acquire the data;
s4, analyzing the data and persisting the data to a database by the data acquisition service;
and S5, the data acquisition service issues the data to an information acquisition notification channel of the Internet of things equipment of Redis, and the Redis notifies each subscribed service system.
Preferably, the specific process of step S1 is:
s11, the data synchronization service inquires basic data service data for the added equipment and records the inquiry time; then, the basic data change informs the equipment service to inquire the changed data, and the equipment service inquires the changed data by using the last inquired time;
s12, the equipment service acquires the changed data to the data synchronization service according to the specified number of paging, and the data synchronization service cuts x pieces of data by using a concurrency thread threshold y; then m devices will synchronize data by n threads simultaneously, and the number p of tasks processed by each thread is as follows:
when x < y, p ═ x × m/n, each task processes 1 piece of data;
when x > y, p ═ y × m/n, each task processes either x/y or x/y +1 pieces of data.
Preferably, the middleware in step S2 includes:
the P2P middleware is used for opening a P2P tunnel to be connected with terminal intranet equipment and forwarding data sent by the middleware to the terminal equipment;
the TCP middleware is used for establishing long connection with the equipment, converting JSON data into byte streams required by Socket through UTF8 coding and sending the byte streams to the terminal equipment;
and the HTTP middleware is used for directly transmitting data by using the HTTP service opened by the equipment when the equipment and the service are in the same local area network.
Preferably, the specific process of step S2 is: each task is connected with the middleware of a corresponding protocol according to the equipment bound by the task, and the task sends a JSON data packet to the middleware according to the marks corresponding to the new adding, modifying and deleting marks of the data; because the middleware is composed of a plurality of service clusters, the task can obtain the middle bound by the equipment from the cache Ehcache, if the middle bound by the equipment is not found, a Hash index is established according to the equipment index i and the number n of the protocol middleware to obtain one middleware x, and the mapping relation is cached to the Ehcache.
Preferably, step S2 further includes recording a sending log of the data synchronization service; if the data transmission through the middleware fails, storing the data packet of the marking device into a data transmission failure processing task queue; the task queue retries to send the tasks at specified time intervals, and stops sending and discards the sending tasks until reaching the data sending failure retry threshold number of the equipment service control.
Preferably, the specific process of step S3 is:
s31, processing and comparing basic data stored by different Internet of things equipment with acquired data to obtain data with business meanings, and sending the data to a load balancing middleware provided by a service;
and S32, the load balancing middleware forwards the acquired data packet to a data acquisition service according to a polling algorithm.
Preferably, the specific process of step S4 is: the data acquisition service analyzes the submitted data types into basic metadata, acquires perfect data information from the basic data according to different data types, and uniformly persists the complete data to the database.
Preferably, the step S5 further includes that the data synchronization service acquires data from the radix data service at specified intervals, and polls each internet of things device to obtain whether the device radix data is consistent with the data provided by the radix data service, and if the device radix data is missing or redundant, the step S2 is switched to synchronize the internet of things device data.
An internet of things equipment clustered data acquisition system for implementing the method for internet of things equipment clustered data acquisition as claimed in any one of claims 1 to 8, the system comprising: the cloud end, the middleware and the Internet of things equipment are connected together through the middleware; the cloud comprises basic data service, equipment service, data synchronization service and data acquisition service; the basic data service provides basic data services required by different devices; the device service is used for configuring device information; the data synchronization service is used for being connected with the middleware service, pushing changed basic data required by the Internet of things equipment to the middleware service, recording a synchronization log, and detecting whether cardinal data of the equipment is complete or not, and if the cardinal data of the equipment is incomplete, pushing missing data content; the data acquisition service is used for analyzing and storing the data acquired by the Internet of things equipment and informing the subscription service system; the middleware service is used for data docking of different Internet of things devices; the load balancing middleware is used for distributing the collected data of the service network equipment to the cluster data collection service.
Preferably, the internet of things equipment comprises an airliner, an attendance machine, a temperature measurement face recognition panel, an intelligent camera and an intelligent sensor.
After the technical scheme is adopted, the invention has the following beneficial effects:
1. according to the method for the clustered data acquisition of the equipment of the Internet of things, the data entry process required by the equipment of the Internet of things is solved by utilizing the concurrence algorithm, and the data preparation of multiple pieces of equipment can be completed by one-time entry of one piece of equipment, so that the data entry efficiency of the equipment of the Internet of things is improved.
2. The invention discloses a method for clustered data acquisition of Internet of things equipment, which adopts a clustered data acquisition server to improve the efficiency of equipment data acquisition.
3. The invention discloses a method for clustered data acquisition of Internet of things equipment, which specifies a uniform data format, provides replaceable middleware services for different equipment to eliminate the differentiation and the requirement of the different equipment, and increases the possibility of expanding and supporting the different equipment by software.
4. The method for collecting the clustered data of the equipment of the Internet of things provides uniform basic data detection service and ensures that each piece of equipment of the Internet of things has complete and reliable basic data support.
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FIG. 1 is a schematic diagram of the structure of the steps of the present invention;
FIG. 2 is a flow chart of the method of the present invention;
fig. 3 is a block diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1 to 3, a method for clustered data acquisition of devices of the internet of things includes the following steps:
s1, detecting newly added data in a period of time by the data synchronization service, and averagely dividing the data into multiple threads;
the specific process of step S1 is:
s11, the data synchronization service inquires basic data service data for the added equipment and records the inquiry time; then, the basic data change informs the equipment service to inquire the changed data, and the equipment service inquires the changed data by using the last inquired time;
s12, the equipment service acquires the changed data to the data synchronization service according to the specified number of paging, and the data synchronization service cuts x pieces of data by using a concurrency thread threshold y; then m devices will synchronize data by n threads simultaneously, and the number p of tasks processed by each thread is as follows:
when x < y, p ═ x × m/n, each task processes 1 piece of data;
when x > y, p ═ y × m/n, each task processes either x/y or x/y +1 pieces of data.
S2, selecting middleware according to the equipment protocol, and sending the changed data to the Internet of things equipment;
the middleware in step S2 includes:
the P2P middleware is used for opening a P2P tunnel to be connected with terminal intranet equipment and forwarding data sent by the middleware to the terminal equipment;
the TCP middleware is used for establishing long connection with the equipment, converting JSON data into byte streams required by Socket through UTF8 coding and sending the byte streams to the terminal equipment;
the HTTP middleware is used for directly transmitting data by using the HTTP service opened by the equipment when the equipment and the service are in the same local area network;
the specific process of step S2 is: each task is connected with the middleware of a corresponding protocol according to the equipment bound by the task, and the task sends a JSON data packet to the middleware according to the marks corresponding to the new adding, modifying and deleting marks of the data; because the middleware is composed of a plurality of service clusters, the task can obtain the middle bound by the equipment from the cache Ehcache, if the middle bound by the equipment is not found, a Hash index is established according to the equipment index i and the number n of the protocol middleware to obtain one middleware x, and the mapping relation is cached to the Ehcache.
Step S2 further includes the data synchronization service recording sending log; if the data transmission through the middleware fails, storing the data packet of the marking device into a data transmission failure processing task queue; the task queue retries to send the tasks at specified time intervals, and stops sending and discards the sending tasks until reaching the data sending failure retry threshold number of the equipment service control.
S3, the Internet of things equipment acquires information according to the basic data, and then transmits the acquired data to the load balancing middleware, and the load balancing middleware polls the cluster server to acquire the data;
the specific process of step S3 is:
s31, processing and comparing basic data stored by different Internet of things equipment with acquired data to obtain data with business meanings, and sending the data to a load balancing middleware provided by a service;
and S32, the load balancing middleware forwards the acquired data packet to a data acquisition service according to a polling algorithm.
S4, analyzing the data and persisting the data to a database by the data acquisition service;
the specific process of step S4 is: the data acquisition service analyzes the submitted data types into basic metadata, acquires perfect data information from the basic data according to different data types, and uniformly persists the complete data to the database.
S5, the data acquisition service issues the data to an information acquisition notification channel of the Internet of things equipment of Redis, and the Redis notifies each subscribed service system;
step S5 further includes that the data synchronization service acquires data from the radix data service at specified intervals, and polls each internet of things device to obtain whether the device radix data is consistent with the data provided by the radix data service, and if the device radix data is missing or redundant, the step S2 is switched to synchronize the internet of things device data.
As shown in fig. 1 to 3, an internet of things device clustering data collecting system is used for implementing the method for collecting internet of things device clustering data according to any one of claims 1 to 8, and the system includes: the cloud end, the middleware and the Internet of things equipment are connected together through the middleware; the cloud comprises basic data service, equipment service, data synchronization service and data acquisition service; the basic data service provides basic data services required by different devices; the device service is used for configuring device information; the data synchronization service is used for being connected with the middleware service, pushing changed basic data required by the Internet of things equipment to the middleware service, recording a synchronization log, and detecting whether cardinal data of the equipment is complete or not, and if the cardinal data of the equipment is incomplete, pushing missing data content; the data acquisition service is used for analyzing and storing the data acquired by the Internet of things equipment and informing the subscription service system; the middleware service is used for data docking of different Internet of things devices; the load balancing middleware is used for distributing the collected data of the service network equipment to the cluster data collection service; the Internet of things equipment comprises an visitor machine, an attendance machine, a temperature measurement face recognition panel, an intelligent camera and an intelligent sensor.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for clustered data acquisition of Internet of things equipment is characterized by comprising the following steps:
s1, detecting newly added data in a period of time by the data synchronization service, and averagely dividing the data into multiple threads;
s2, selecting middleware according to the equipment protocol, and sending the changed data to the Internet of things equipment;
s3, the Internet of things equipment acquires information according to the basic data, and then transmits the acquired data to the load balancing middleware, and the load balancing middleware polls the cluster server to acquire the data;
s4, analyzing the data and persisting the data to a database by the data acquisition service;
and S5, the data acquisition service issues the data to an information acquisition notification channel of the Internet of things equipment of Redis, and the Redis notifies each subscribed service system.
2. The method for clustered data acquisition of devices of the internet of things as claimed in claim 1, wherein the specific process of step S1 is as follows:
s11, the data synchronization service inquires basic data service data for the added equipment and records the inquiry time; then, the basic data change informs the equipment service to inquire the changed data, and the equipment service inquires the changed data by using the last inquired time;
s12, the equipment service acquires the changed data to the data synchronization service according to the specified number of paging, and the data synchronization service cuts x pieces of data by using a concurrency thread threshold y; then m devices will synchronize data by n threads simultaneously, and the number p of tasks processed by each thread is as follows:
when x < y, p ═ x × m/n, each task processes 1 piece of data;
when x > y, p ═ y × m/n, each task processes either x/y or x/y +1 pieces of data.
3. The method for clustered data collection of devices in the internet of things as claimed in claim 2, wherein the middleware in the step S2 comprises:
the P2P middleware is used for opening a P2P tunnel to be connected with terminal intranet equipment and forwarding data sent by the middleware to the terminal equipment;
the TCP middleware is used for establishing long connection with the equipment, converting JSON data into byte streams required by Socket through UTF8 coding and sending the byte streams to the terminal equipment;
and the HTTP middleware is used for directly transmitting data by using the HTTP service opened by the equipment when the equipment and the service are in the same local area network.
4. The method for clustered data acquisition of devices of the internet of things as claimed in claim 3, wherein the specific process of the step S2 is as follows: each task is connected with the middleware of a corresponding protocol according to the equipment bound by the task, and the task sends a JSON data packet to the middleware according to the marks corresponding to the new adding, modifying and deleting marks of the data; because the middleware is composed of a plurality of service clusters, the task can obtain the middle bound by the equipment from the cache Ehcache, if the middle bound by the equipment is not found, a Hash index is established according to the equipment index i and the number n of the protocol middleware to obtain one middleware x, and the mapping relation is cached to the Ehcache.
5. The method for clustered data acquisition of devices of the internet of things as claimed in claim 4, wherein: step S2 further includes the data synchronization service recording sending log; if the data transmission through the middleware fails, storing the data packet of the marking device into a data transmission failure processing task queue; the task queue retries to send the tasks at specified time intervals, and stops sending and discards the sending tasks until reaching the data sending failure retry threshold number of the equipment service control.
6. The method for clustered data acquisition of devices of the internet of things as claimed in claim 5, wherein the specific process of the step S3 is as follows:
s31, processing and comparing basic data stored by different Internet of things equipment with acquired data to obtain data with business meanings, and sending the data to a load balancing middleware provided by a service;
and S32, the load balancing middleware forwards the acquired data packet to a data acquisition service according to a polling algorithm.
7. The method for clustered data acquisition of devices of the internet of things as claimed in claim 6, wherein the specific process of step S4 is as follows: the data acquisition service analyzes the submitted data types into basic metadata, acquires perfect data information from the basic data according to different data types, and uniformly persists the complete data to the database.
8. The method for clustered data collection of devices of the internet of things as claimed in claim 7, wherein: step S5 further includes that the data synchronization service acquires data from the radix data service at specified intervals, and polls each internet of things device to obtain whether the device radix data is consistent with the data provided by the radix data service, and if the device radix data is missing or redundant, the step S2 is switched to synchronize the internet of things device data.
9. An internet of things equipment clustered data acquisition system for implementing the method for internet of things equipment clustered data acquisition as claimed in any one of claims 1 to 8, the system comprising: the cloud end, the middleware and the Internet of things equipment are connected together through the middleware; the cloud comprises basic data service, equipment service, data synchronization service and data acquisition service; the basic data service provides basic data services required by different devices; the device service is used for configuring device information; the data synchronization service is used for being connected with the middleware service, pushing changed basic data required by the Internet of things equipment to the middleware service, recording a synchronization log, and detecting whether cardinal data of the equipment is complete or not, and if the cardinal data of the equipment is incomplete, pushing missing data content; the data acquisition service is used for analyzing and storing the data acquired by the Internet of things equipment and informing the subscription service system; the middleware service is used for data docking of different Internet of things devices; the load balancing middleware is used for distributing the collected data of the service network equipment to the cluster data collection service.
10. The internet of things equipment clustered data acquisition system of claim 9, wherein: the Internet of things equipment comprises an visitor machine, an attendance machine, a temperature measurement face recognition panel, an intelligent camera and an intelligent sensor.
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