CN110138843A - A kind of agricultural machinery manufacture Internet of Things monitoring method and system - Google Patents
A kind of agricultural machinery manufacture Internet of Things monitoring method and system Download PDFInfo
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Classifications
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
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Abstract
It include: sequentially connected sensing layer, data Layer, service layer and application layer the present disclosure discloses a kind of agricultural machinery manufacture Internet of Things monitoring method and system, the system；The sensing layer for acquiring agricultural machinery manufacture real-time status data, and sorts data into packing according to device type, sends linking request to data Layer；The data Layer, for the linking request of acquisition terminal based on the received, the parallel agricultural machinery manufacture real-time status data for receiving acquisition terminal and being packaged；Subpackage parses received agricultural machinery and manufactures real-time status data, is stored in real time historical database and/or relational database according to the type of data packet after parsing；The service layer, the data layer data for that will store are based on artificial intelligence and carry out business service, obtain business service data；The application layer is used for and service layer's two-way communication.
Description
Technical field
The disclosure belongs to the technical field of agricultural machinery manufacture, is related to a kind of agricultural machinery manufacture Internet of Things monitoring method and system.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
Currently, great production capacity notch occur in agricultural machinery and construction machinery production industry, all kinds of production problems also occur therewith.It is domestic
Agricultural manufacturing industry causes its productive function more extensive, majority operation relies on because lacking complete Information Management System
Artificial to realize, data are dispersed and production efficiency is low, are unable to satisfy fast-developing modern manufacturing industry demand.It is popularized in Internet of Things
Before, due to information management system lower deployment cost height and performance difficulty etc., it is all kinds of large size manufacturing enterprises can only from production machine,
Environment and personnel punish scattered, inefficient collection information, and data is caused to be lost serious and difficult management.
Inventor has found in R&D process, agricultural machinery manufacturing process mainly by being welded, coating and general assembly three parts form,
Welding line is broadly divided into bottom plate line and main weldering line, and intelligence, the degree of automation are lower, and serious forgiveness is low, and the parameter of electric machine requires real-time
Monitoring guarantees welding quality；Paint line main flow includes: pre-treatment → hot water wash → pre- degreasing → degreasing → table tune → phosphatization
→ pure water washes → and ability cathode electrophoresis → electrophoresis drying → Qiang Leng → spray painting → finishing coat drying → Qiang Leng → polishing examines etc., Painting Shop
As in entire agricultural machinery production process with can rich and influential family, the problems such as workshop energy consumption is abnormal, waste discharge is exceeded is difficult to manage, make
At the loss of the waste and production of the energy, while environment is also resulted in and is seriously affected；General assembly line is broadly divided into engine, harness
The installation processes such as laying, suspension, transmission shaft, brake arm, tire, parking brake, but basic all process steps and components rely on craft
, often there are the inefficiency problems such as material information mistake, Short Item mistake part in statistics.
Therefore, if overall monitor and analysis, advanced management means and control plan cannot be carried out to agricultural machinery production process
It is slightly also difficult to be utilized, to cause the loss and waste of resources of production and data.
Summary of the invention
For the deficiencies in the prior art, one or more other embodiments of the present disclosure provide a kind of agricultural machinery manufacture object
Technology of Internet of things is applied to agricultural manufacturing industry, according to the process requirements and number of agricultural manufacturing industry by networking monitoring method and system
According to feature, agricultural machinery manufacture Internet of things system framework is built, acquisition and processing agricultural machinery manufacture Internet of Things real time data, carries out agricultural machinery system
The Internet of Things monitoring made, by the acquisition and analysis to real-time production data, realize on-line monitoring to agricultural machinery production process with
Management.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring side is provided
Method.
A kind of agricultural machinery manufacture Internet of Things monitoring method, this method comprises:
Acquisition terminal acquires agricultural machinery and manufactures real-time status data, and sorts data into packing, send chain according to device type
Request is connect to monitoring server；
The linking request of monitoring server acquisition terminal based on the received, the parallel agricultural machinery manufacture for receiving acquisition terminal and being packaged
Real-time status data；
Monitoring server subpackage parses received agricultural machinery and manufactures real-time status data, will according to the type of data packet after parsing
It is stored in real time historical database and/or manufactures the relational database based on E-R model that entity is built according to agricultural machinery；
The data of storage are based on artificial intelligence and carry out business service by monitoring server, obtain business service data；
Monitoring server carries out two-way communication according to business service data and user terminal, in transmission service service data
To user terminal or based on the received, user terminal requests instruction lookup business service Data Concurrent is sent accordingly event trigger information
Data are to user terminal.
Further, in the method, the agricultural machinery manufacture real-time status data includes static data and dynamic data, institute
Stating static data includes personnel's details, equipment details and production technology information；The dynamic data includes that personnel are living
Dynamic information, location information, upper and lower station period, equipment running status, location information, key parameter, fault alarm information, order
Information, environmental information, consumption information and environmental data.
Further, in the method, agricultural machinery is manufactured real-time status data hair by intelligent gateway by the acquisition terminal
It send to monitoring server.
Further, in the method, the examination question in the relational database includes administrative staff's information entity, production sky
Between entity, equipment entity and technical papers entity, be one-to-many between administrative staff's information entity and production space entity
Relationship, the production space entity and equipment entity are many-to-one relationship, and administrative staff's information entity and technical papers are real
Body is many-one relationship.
Further, in the method, the real time historical database includes memory database and historical data base, described
Unique ID value is corresponded to as basic unit using equipment in memory database to be stored, and every kind of device type is manufactured according to agricultural machinery
Create a corresponding memory field；
The specific steps that the type according to data packet after parsing is stored in real time historical database include:
It will be transmitted in different data handling queues after packet classification after parsing, and will according to different agreement specifications
Data parsing is stored into memory database；
Judge whether memory storage area has expired while write-in, continues to be stored in memory database when less than, otherwise, by memory
In data deposit buffer area in memory block, data are stored in historical data base using data conversion storage mechanism by data buffer zone.
Further, in the method, the business service includes workshop rights management, technique virtualization configuration, production
Process monitoring, fault pre-alarming record, optimal control for energy saving and energy consumption forecast analysis；The monitoring server is by the data base of storage
Include: in the specific steps that artificial intelligence carries out business service
The data of storage are subjected to data prediction, the data prediction includes data cleansing, data integration, data change
It changes and hough transformation；
Data after data prediction are subjected to business service based on the intelligent algorithm in algorithms library；The algorithms library
In include sorting algorithm, association algorithm, regression algorithm and clustering algorithm.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring system is provided
System.
A kind of agricultural machinery manufacture network monitoring system for things, the system manufacture Internet of Things monitoring side based on a kind of agricultural machinery
Method, comprising: sequentially connected sensing layer, data Layer, service layer and application layer；
The sensing layer, for manufacturing real-time status data using acquisition terminal acquisition agricultural machinery, and will according to device type
Data classification is packaged, and sends linking request to data Layer；
The data Layer, for the linking request using monitoring server acquisition terminal based on the received, parallel receive is adopted
Collect the agricultural machinery that terminal is packaged and manufactures real-time status data；Subpackage parses received agricultural machinery and manufactures real-time status data, according to parsing
Afterwards the type of data packet be stored in real time historical database and/or according to agricultural machinery manufacture entity build based on E-R model
Relational database；
The service layer carries out industry for the data layer data of storage to be based on artificial intelligence using monitoring server
Business service, obtains business service data；
The application layer, for receiving service layer's push industry using user terminal and service layer's two-way communication
Event trigger information or transmission user terminal requests instruction in service data of being engaged in are searched business service data and are received corresponding anti-
Present data.
Further, the acquisition terminal includes RFID, Internet of things node, data concentrator, general DDC and circuit control
Device；
The RFID is used for collection technology data, demographic data and material information；
The Internet of things node is used to acquire workshop environmental data and crucial electrical equipment electric parameter, and issues energy conservation
Control strategy；
The data concentrator is for acquiring consumption information；
The general DDC is used to acquire the data of facing production course, the data of the facing production course include temperature,
Wind pressure, valve, in place with occupy-place signal；
The loop control unit controls the start and stop of unit equipment in workshop for setting Energy Saving Control strategy.
Further, the sensing layer by original PLC or DCS system by traditional OPC mode by data integration extremely
The data Layer.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring side is provided
Method.
A kind of agricultural machinery manufacture Internet of Things monitoring method, this method are realized in monitoring server, comprising:
The linking request for receiving acquisition terminal, receives acquisition terminal according to equipment according to the linking request of acquisition terminal parallel
The agricultural machinery for the acquisition that type is packaged manufactures real-time status data；
Subpackage parses received agricultural machinery and manufactures real-time status data, is stored in reality according to the type of data packet after parsing
When database, historical data base and/or the relational database based on E-R model built of entity is manufactured according to agricultural machinery；
The data of storage are based on artificial intelligence and carry out business service, obtain business service data；
Two-way communication is carried out according to business service data and user terminal, the event in transmission service service data triggers letter
To user terminal or based on the received, user terminal requests instruction lookup business service Data Concurrent send corresponding data to user to breath
Terminal.
Further, in the method, the agricultural machinery manufacture real-time status data includes static data and dynamic data, institute
Stating static data includes personnel's details, equipment details and production technology information；The dynamic data includes that personnel are living
Dynamic information, location information, upper and lower station period, equipment running status, location information, key parameter, fault alarm information, order
Information, environmental information, consumption information and environmental data.
Further, in the method, the examination question in the relational database includes administrative staff's information entity, production sky
Between entity, equipment entity and technical papers entity, be one-to-many between administrative staff's information entity and production space entity
Relationship, the production space entity and equipment entity are many-to-one relationship, and administrative staff's information entity and technical papers are real
Body is many-one relationship.
Further, in the method, the real time historical database includes memory database and historical data base, described
Unique ID value is corresponded to as basic unit using equipment in memory database to be stored, and every kind of device type is manufactured according to agricultural machinery
Create a corresponding memory field；
The specific steps that the type according to data packet after parsing is stored in real time historical database include:
It will be transmitted in different data handling queues after packet classification after parsing, and will according to different agreement specifications
Data parsing is stored into memory database；
Judge whether memory storage area has expired while write-in, continues to be stored in memory database when less than, otherwise, by memory
In data deposit buffer area in memory block, data are stored in historical data base using data conversion storage mechanism by data buffer zone.
Further, in the method, the business service includes workshop rights management, technique virtualization configuration, production
Process monitoring, fault pre-alarming record, optimal control for energy saving and energy consumption forecast analysis；The monitoring server is by the data base of storage
Include: in the specific steps that artificial intelligence carries out business service
The data of storage are subjected to data prediction, the data prediction includes data cleansing, data integration, data change
It changes and hough transformation；
Data after data prediction are subjected to business service based on the intelligent algorithm in algorithms library；The algorithms library
In include sorting algorithm, association algorithm, regression algorithm and clustering algorithm.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of agricultural machinery manufacture Internet of Things monitoring method.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
Calculation machine readable storage medium storing program for executing is suitable for being loaded by processor and being executed a kind of agricultural machinery for storing a plurality of instruction, described instruction
Manufacture Internet of Things monitoring method.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring dress is provided
It sets.
A kind of agricultural machinery manufacture Internet of Things monitoring device, manufactures Internet of Things monitoring method based on a kind of agricultural machinery, comprising:
Acquisition module is configured as receiving the linking request of acquisition terminal, be connect parallel according to the linking request of acquisition terminal
The agricultural machinery for receiving the acquisition that acquisition terminal is packaged according to device type manufactures real-time status data；
Memory module is configured as subpackage and parses received agricultural machinery manufacture real-time status data, according to data packet after parsing
Type be stored in real-time data base, historical data base and/or according to agricultural machinery manufacture that entity builds based on E-R model
Relational database；
Business service module is configured as the data that will be stored and is based on artificial intelligence progress business service, obtains business clothes
Business data；
Display module is configured as carrying out two-way communication, transmission service service according to business service data and user terminal
User terminal requests instruction searches business service data simultaneously to user terminal or based on the received for event trigger information in data
Corresponding data is sent to user terminal.
The disclosure the utility model has the advantages that
A kind of agricultural machinery manufacture Internet of Things monitoring method and system that the disclosure provides, in combination with Internet of Things technology, for agricultural machinery
Manufacturing process demand and data characteristics, construct agricultural machinery manufacture Internet of Things monitoring method and system, manufacture Internet of Things using agricultural machinery
Real-time data sampling and processing, realizes the complete perception and real time monitoring of man-machine material method ring in workshop, and comprehensive multi-thread concurrent is logical
Letter, real-time history data storage strategy, the detection acquisition that can satisfy production line overall process data information are applied with processing, thus
Production efficiency is improved, energy saving cost realizes that agricultural machinery production is promoted in manufacture level and the great-leap-forward of management level, makes agricultural machinery
Manufacturing industry manufactures Paradigm Change from traditional mode of production structure to novel intelligent.
Detailed description of the invention
The Figure of description for constituting a part of this disclosure is used to provide further understanding of the disclosure, and the disclosure is shown
Meaning property embodiment and its explanation do not constitute the improper restriction to the disclosure for explaining the disclosure.
Fig. 1 is to manufacture Internet of Things monitoring method flow chart according to a kind of agricultural machinery of one or more embodiments；
Fig. 2 is the relational database E-R illustraton of model according to one or more embodiments；
Fig. 3 is to manufacture Internet of Things real time data organisation illustraton of model according to the agricultural machinery of one or more embodiments；
Fig. 4 is to manufacture Internet of Things real time data flow diagram according to the agricultural machinery of one or more embodiments；
Fig. 5 is the memory real time data organisation structure chart according to one or more embodiments；
Fig. 6 is the historical data unloading policy map according to one or more embodiments；
Fig. 7 is to manufacture network monitoring system for things structure chart according to a kind of agricultural machinery of one or more embodiments；
Fig. 8 is to manufacture network monitoring system for things real-time data acquisition framework according to a kind of agricultural machinery of one or more embodiments
Figure；
Fig. 9 is the front and back end interactive structure block diagram according to one or more embodiments；
Figure 10 is to manufacture network monitoring system for things functional structure chart according to a kind of agricultural machinery of one or more embodiments.
Specific embodiment:
Below in conjunction with the attached drawing in one or more other embodiments of the present disclosure, to one or more other embodiments of the present disclosure
In technical solution be clearly and completely described, it is clear that described embodiment is only disclosure a part of the embodiment,
Instead of all the embodiments.Based on one or more other embodiments of the present disclosure, those of ordinary skill in the art are not being made
Every other embodiment obtained under the premise of creative work belongs to the range of disclosure protection.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the disclosure.Unless another
It indicates, all technical and scientific terms that the present embodiment uses have and disclosure person of an ordinary skill in the technical field
Normally understood identical meanings.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the disclosure.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
It should be noted that flowcharts and block diagrams in the drawings show according to various embodiments of the present disclosure method and
The architecture, function and operation in the cards of system.It should be noted that each box in flowchart or block diagram can represent
A part of one module, program segment or code, a part of the module, program segment or code may include one or more
A executable instruction for realizing the logic function of defined in each embodiment.It should also be noted that some alternately
Realization in, function marked in the box can also occur according to the sequence that is marked in attached drawing is different from.For example, two connect
The box even indicated can actually be basically executed in parallel or they can also be executed in a reverse order sometimes,
This depends on related function.It should also be noted that each box and flow chart in flowchart and or block diagram
And/or the combination of the box in block diagram, the dedicated hardware based system that functions or operations as defined in executing can be used are come
It realizes, or the combination of specialized hardware and computer instruction can be used to realize.
In the absence of conflict, the feature in the embodiment and embodiment in the disclosure can be combined with each other, and tie below
It closes attached drawing and embodiment is described further the disclosure.
Embodiment one
For the deficiencies in the prior art, one or more other embodiments of the present disclosure provide a kind of agricultural machinery manufacture object
Technology of Internet of things is applied to agricultural manufacturing industry by networking monitoring method, according to the process requirements and data characteristics of agricultural manufacturing industry,
Acquisition and processing agricultural machinery manufacture Internet of Things real time data, the Internet of Things monitoring of agricultural machinery manufacture are carried out, by real-time production data
Acquisition and analysis, realize on-line monitoring and management to agricultural machinery production process.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring side is provided
Method.
As shown in Figure 1, a kind of agricultural machinery manufactures Internet of Things monitoring method, this method comprises:
Step S1: acquisition terminal acquires agricultural machinery and manufactures real-time status data, and sorts data into packing according to device type,
Linking request is sent to monitoring server；
Step S2: the linking request of monitoring server acquisition terminal based on the received, it is parallel to receive what acquisition terminal was packaged
Agricultural machinery manufactures real-time status data；
Step S3: monitoring server subpackage parses received agricultural machinery and manufactures real-time status data, according to data packet after parsing
Type be stored in real time historical database and/or the relationship number based on E-R model built of entity manufactured according to agricultural machinery
According to library；
Step S4: the data of storage are based on artificial intelligence and carry out business service by monitoring server, obtain business service number
According to；
Step S5: monitoring server carries out two-way communication, transmission service service according to business service data and user terminal
User terminal requests instruction searches business service data simultaneously to user terminal or based on the received for event trigger information in data
Corresponding data is sent to user terminal.
In the step S1 of the present embodiment, Internet of Things with agricultural machinery manufacture combine, can from workshop (such as: personnel, if
It is standby, material and environment) real-time status data is endlessly collected, these data sets can be used for analysis automated process, with excellent
Change design and producing system, is not necessarily to manual intervention.Agricultural machinery manufacture real-time status data includes static data and dynamic data,
1) static data: personnel's details (number ID/ name/identity/contact method etc.), equipment details (money
Produce number ID/ device type/function/rated power/voltage/current/production firm etc.), production technology information.
2) dynamic data: personnel activity's information, location information, upper and lower station period, equipment running status, location information,
Key parameter, fault alarm information, order information, environmental information, consumption information etc..
Using the above multi-source heterogeneous data set, personnel, equipment, the real time monitoring of environment and management can satisfy, once it sets
It is standby to be abnormal, it can notify the operating status for regulating and controlling equipment in permission in time apart from nearest administrator.
In the step S2 of the present embodiment, the acquisition terminal and the monitoring server carry out Data Concurrent communication, needle
To the Data Concurrent communication requirement in agricultural machinery manufacture Internet of things system, prison in real time is realized using multithreading and Socket technology herein
Control bottom data interface software/equipment concurrent communication of the database server and acquisition terminal in server, starting communication
After serviced component, establish listening thread, real-time listening thread linking request, after obtaining linking request, establish one it is soft with interface
It is lasting to monitor after part or the thread of Internet of Things acquisition terminal communication；The communication thread received data packet established, according to customized
Communication protocol, whether verify data is legal, if legal, then resolve packet is carried out according to corresponding communication protocol, after parsing
Data are stored into real-time data base respective queue, otherwise discard packet.
In the step S3 of the present embodiment, the examination question in the relational database includes administrative staff's information entity, production
Spatial entities, equipment entity and technical papers entity are a pair of between administrative staff's information entity and production space entity
More relationships, the production space entity and equipment entity are many-to-one relationship, administrative staff's information entity and technical papers
Entity is many-one relationship.
Had the characteristics that in the present embodiment according to E-R illustraton of model succinct intuitive, the design of database generallys use E-R figure
Description early period is carried out, agricultural machinery is manufactured into unit involved in Internet of Things and is summarised as entity, and is described between each entity
Connection, then design overall situation E-R illustraton of model.
In relational database build process, the disclosure has desalinated the concept of node layer, and node is only used as equipment and platform
Between transmission trunking, guarantee the reliable and stable connection between equipment and platform, therefore node layer in relation table design and is not added with,
But in facility information table, correspondence between more new equipment and node, therefore the unit according to involved by system, mainly
The entity for including has: administrative staff's information entity, production space entity, equipment entity and technical papers entity, administrative staff with
Belong to one-to-many relationship between production space, an administrative staff can manage multiple production spaces, production space and equipment
Belong to many-to-one relationship, a production space may include multiple equipment, and administrative staff and production technology file belong to a pair
More relationships, an administrative staff can manage multiple groups technical papers and its material information, relational database overall situation E-R illustraton of model
Design is as shown in Figure 2.
The real time historical database includes memory database and historical data base, is with equipment in the memory database
Basic unit corresponds to unique ID value and is stored, and manufactures every kind of device type according to agricultural machinery and create a corresponding memory
Area；
As shown in figure 3, the real time data in agricultural machinery manufacture production is stored in memory in the form of KV (Key-Value) key-value pair
In database, from traditional using measuring point as unlike basic unit, this system is stored by basic unit of equipment, each
Smart machine or personnel in a production process have oneself Key value of unique ID value as dictionary type, therefore according to every
Kind device type creates a corresponding memory field, and storage organization uses Dictionary<string, List<string>>
Data structure (Key value is device id, and Value value is with List chained list come storage time sequence data).
The real-time stream of agricultural machinery manufacture platform of internet of things is as shown in Figure 4: Internet of Things acquisition terminal is responsible for collecting in workshop
Data are cased according to device type classification, are beaten by the isomeric datas such as personnel, material, sensor, intelligence instrument in different zones
Packet, and uploaded by TCP/IP communication agreement organizations；
Data are transmitted in different data handling queues after unpacking classification, and according to different agreement specifications by data
Parsing is stored into memory database, and write-in while judges whether memory storage area has expired, and having expired then will be in memory storage area
Data deposit buffer area in, data buffer zone recycle data conversion storage mechanism will data be stored in historical data base in.
The relevant service interface that system is externally provided by real time historical database realizes man-machine interface and background program
Interaction, to support analysis, retrieval and excavation of the enterprise to global data.
In the present embodiment, in real time data parsing and the data foundation that after specification, Internet of Things acquisition terminal part is received
Customized communication protocol, the device id in data intercept packet judges device type, and real time data content is stored to correspondence
Equipment memory block memory in, the part PLC passes through OPC Server and receives data and deposits according to measuring point type and measuring point ID
Storage is into corresponding memory field, as shown in Figure 5.
In the present embodiment, history data store is many as the key component in internet of things data acquisition processing system
Scholar is constantly studying and is optimizing storage strategy to obtain more valuable data to establish to the application and analysis of data
Basis, the storage mode of Internet of Things web information system mainstream includes: storage based on file system, based on relational database at present
Storage and the storage based on non-relational database store agricultural machinery production history data using the MongoDB in NoSQL herein,
Because of this storage mode based on key-value pair (Key-Value), without coupling between data, it is easy to extend, excellent performance
It is suitable for the storage and inquiry of mass data in industrial production with extended capability.
Historical data unloading strategy is based on the data conversion storage mechanism in real-time data base, as shown in fig. 6, memory database
Data storage with parse thread in the corresponding memory field of the data deposit of distinct device type, historical data unloading thread is not
Disconnected each memory field storage condition of scanning empties memory field when A data flow reaches limit value (detecting unloading signal) when memory field
A, and will be stored in the orderly set document of MongoDB key-value pair after all data conversion formats in memory field A, while enabling memory
Area B continues to store real time data, replaces according to this.
In the step S4 of the present embodiment, the business service includes workshop rights management, technique virtualization configuration, production
Process monitoring, fault pre-alarming record, optimal control for energy saving and energy consumption forecast analysis；The monitoring server is by the data base of storage
Include: in the specific steps that artificial intelligence carries out business service
The data of storage are subjected to data prediction, the data prediction includes data cleansing, data integration, data change
It changes and hough transformation；
Data after data prediction are subjected to business service based on the intelligent algorithm in algorithms library；The algorithms library
In include sorting algorithm, association algorithm, regression algorithm and clustering algorithm.
Embodiment two
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring system is provided
System.
As shown in fig. 7, a kind of agricultural machinery manufactures network monitoring system for things, which manufactures Internet of Things based on a kind of agricultural machinery
Net monitoring method, comprising: sequentially connected sensing layer, data Layer, service layer and application layer；
The sensing layer, for manufacturing real-time status data using acquisition terminal acquisition agricultural machinery, and will according to device type
Data classification is packaged, and sends linking request to data Layer；
The data Layer, for the linking request using monitoring server acquisition terminal based on the received, parallel receive is adopted
Collect the agricultural machinery that terminal is packaged and manufactures real-time status data；Subpackage parses received agricultural machinery and manufactures real-time status data, according to parsing
Afterwards the type of data packet be stored in real time historical database and/or according to agricultural machinery manufacture entity build based on E-R model
Relational database；
The service layer carries out industry for the data layer data of storage to be based on artificial intelligence using monitoring server
Business service, obtains business service data；
The application layer, for receiving service layer's push industry using user terminal and service layer's two-way communication
Event trigger information or transmission user terminal requests instruction in service data of being engaged in are searched business service data and are received corresponding anti-
Present data.
In the present embodiment, agricultural machinery is manufactured and is combined with technology of Internet of things, devise agricultural machinery manufacture Internet of Things monitoring system
The major architectural structure of system, the system are broadly divided into four layers, sensing layer, data Layer, service layer and application layer.
1) sensing layer: including RFID, intelligent object, intelligence equipment and intelligent gateway, RFID, intelligent object and intelligence equipment
The main real-time monitoring and control for realizing inter-plant production process, intelligent gateway are the bridges for linking up intelligent object and Platform Server
On the one hand beam realizes data forwarding function, on the other hand realizes the intelligent control functions such as energy saving optimizing, equipment management, the part PLC
Pass through OPC data interface mode access system platform.
2) data Layer: being mainly made of database, and database portion is deployed on cloud server, and database includes real time data
Library, relational database, non-relational database, data Layer are connected to device-aware layer and service layer, and real-time data base, which undertakes, to be deposited
It stores up real time data and the function with intelligent gateway communication, MongoDB is used to store the historical data of production process, relational database
In be stored with shop organizer, node, equipment, the information of order and its incidence relation data, data Layer externally provides data and adopts
With the mode of issuing service, upper layer application inquires data by service interface or issues an order.
3) service layer: this layer mainly includes the service of some process oriented processes and intelligence computation, by analyzing application layer
Functional requirement, extract all kinds of general character operation flows, encapsulate all kinds of basic learning algorithms, provide workshop rights management, equipment fortune
Row analysis, historical data extractions, the service such as optimal control for energy saving, this layer of application foundation learning algorithm such as cluster, classify, be associated with,
Recurrence etc. provides the agricultural machinery artificial intelligence service that manufacture Internet of Things customizes.
4) application layer: main includes the human-computer interaction interface of APP client and the end Web, directly provides various industry for user
Business application, including workshop rights management, configuration virtualization configuration, production process real time monitoring, manufacturing schedule control, failure predication
The functions such as analysis, energy management, to effectively industry be instructed to produce.
In the present embodiment, the real time monitoring and management of Yao Shixian agricultural machinery manufacture production process first has to complete production vehicle
The complete perception of interior key equipment operating parameter, such as the operating status of each welding machine in the workshop that is welded, rolling bed equipment, apply entrucking
Between solution temperature, pH value in pretreatment procedure, room temperature of painting, blower, combustor, RTO operating status etc., assembly shop is each
Station material information, in place, occupy-place signal etc. be required to big quantity sensor real-time data collection, and technology of Internet of things can replace
It is a large amount of artificial, various kinds of sensors, production equipment are connected with internet, information exchange and communication are carried out, to realize intelligence
Processing, identification, tracking, monitoring and management.
The internet of things data acquisition stage is manufactured in agricultural machinery, original PLC or DCS system will be counted by traditional OPC mode
According to being integrated to upper platform, five class acquisition terminals of Internet of Things mesh portions independent development according to unified custom protocol by with
Too data are uploaded to system platform by net mode, facilitate the storage and processing of data, as shown in Figure 8.
All kinds of acquisition terminal major functions are as follows:
1) RFID: mainly meet the requirement of process data acquisition, demographic data's acquisition, material information acquisition access；
2) Internet of things node: it is responsible for the acquisition and energy conservation of the information such as workshop condition data, crucial electrical equipment electric parameter
Control strategy issues；
3) for acquiring the consumption informations such as workshop Nei Shui, electricity, combustion gas, data concentrator: there is 485 input interfaces, compatibility
The Modbus agreement of main flow instrument；
4) general DDC: belong to the data collection station of facing production course, set number, analog input function are compatible
The 4-20mA of standard, 1-5V signal, can satisfy important parameter in agricultural machinery production technology acquisition (such as temperature, wind pressure, valve,
In place, occupy-place signal etc.)；
5) loop control unit: being mainly used for setting Energy Saving Control strategy, to control opening for unit equipment in workshop
Stop.
In the present embodiment, the user terminal of the application layer includes web front end and mobile terminal.Real time historical database
The overall structure block diagram communicated with web front end realizes that agricultural machinery production process is real-time as shown in figure 9, developing using B/S architecture mode
Monitoring interface and data visualization service.
Web front end is developed using the HTML5+CSS+JS/AJAX technology mode of mainstream at this stage, flexible high expansion
Malleability and cross-platform ability enable the system to remotely check production monitoring information in any place, so that analysis agricultural machinery is set in time
The handling situations of standby operating condition and each equipment；Uniform data service layer mainly uses WebService and WebSocket technology
The mode combined is developed, and the mode efficiency of this active communication of conventional Ajax poll web Service interface is higher, branch
Local hydrodynamic unit is held, while can also make full use of Service Source, but to will lead to server stress excessive for the request of frequent active transmission,
To cause operational efficiency to decline, thus, the information that by event triggering is generated lower for some refreshing frequencys, such as alarm signal
Breath, material information and order information etc. can establish the two-way communication of browser and server, reality using WebSocket technology
When the mechanism that pushes to realize the real-time application and management at the end Web, to significantly reduce overhead, improve system operation effect
Rate；Data Layer and service layer then establish connection using mature data-interface, and real-time forward end provides reliable and stable data source.
In the present embodiment, using certain Agricultural Machinery Equipment covering manufacturing shop as research object, whole production line is carried out
Modeling analysis builds agricultural machinery and construction machinery production management system for internet of things, verifies the function and actual effect of system.System master
It include: production process monitoring, energy management, Fault pre-warning management, data analysis, third-party application interface and system configuration
Etc. functional modules, systematic functional structrue figure it is as shown in Figure 10.
1) production process monitoring: system can select to enter corresponding workshop subsystem by plant configuration in homepage, to apply
For between entrucking, the monitoring interface in subsystem includes all process flows and important equipment parameter in painting, management
Member can long-range real time inspection each process equipment running status and technic index.
2) energy management: to workshop total energy consumption, each workshop energy consumption on year-on-year basis, ring ratio analyze, set simultaneously for high energy consumption
It is standby to take fine-grained management, high energy consumption reason is analyzed, Energy Saving Control strategy is implemented.
3) fault alarm:, can pop-up immediately and transmission short message prompt management once warning message occurs during system is run
Member inquires warning message in time, and handles accordingly, and if processing, then interface has yellow alarm signal and persistently flashes, failure
In history table fault message can be confirmed in time into corresponding technique picture by clicking abort situation.
4) data are analyzed: in conjunction with agricultural machinery manufacturing field knowledge and information of expert database, being determined the data in production process
Amount, qualitative processing analysis (such as key equipment operation ratio/failure rate analysis), and according to predictability alarm assessment models, to life
The state of equipment carries out early warning analysis during production.
5) to meet the needs of enterprise multi-user accesses system jointly, authority configuration interface, system authority configuration: are provided with
In distinguished factory director/each workshop director/four kinds of equipment manager/operative employee user type, different user can only be weighed according to distribution
Limit executes specified portions operation.
6) third-party application: system is reserved with third party's interface of standard, can integrate third-party application, has good
Scalability.
By the use test in certain Agricultural Machinery Equipment covering manufacturing shop, which can accurately obtain production number in real time
Realize that fine-grained management needs to effectively agricultural machinery be instructed to produce according to, information such as equipment working state, energy consumption exception, fault pre-alarming
It asks.
Embodiment three
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring side is provided
Method.
A kind of agricultural machinery manufacture Internet of Things monitoring method, this method are realized in monitoring server, comprising:
The linking request for receiving acquisition terminal, receives acquisition terminal according to equipment according to the linking request of acquisition terminal parallel
The agricultural machinery for the acquisition that type is packaged manufactures real-time status data；
Subpackage parses received agricultural machinery and manufactures real-time status data, is stored in reality according to the type of data packet after parsing
When database, historical data base and/or the relational database based on E-R model built of entity is manufactured according to agricultural machinery；
The data of storage are based on artificial intelligence and carry out business service, obtain business service data；
Two-way communication is carried out according to business service data and user terminal, the event in transmission service service data triggers letter
To user terminal or based on the received, user terminal requests instruction lookup business service Data Concurrent send corresponding data to user to breath
Terminal.
Further, in the method, the agricultural machinery manufacture real-time status data includes static data and dynamic data, institute
Stating static data includes personnel's details, equipment details and production technology information；The dynamic data includes that personnel are living
Dynamic information, location information, upper and lower station period, equipment running status, location information, key parameter, fault alarm information, order
Information, environmental information, consumption information and environmental data.
Further, in the method, the examination question in the relational database includes administrative staff's information entity, production sky
Between entity, equipment entity and technical papers entity, be one-to-many between administrative staff's information entity and production space entity
Relationship, the production space entity and equipment entity are many-to-one relationship, and administrative staff's information entity and technical papers are real
Body is many-one relationship.
Further, in the method, the real time historical database includes memory database and historical data base, described
Unique ID value is corresponded to as basic unit using equipment in memory database to be stored, and every kind of device type is manufactured according to agricultural machinery
Create a corresponding memory field；
The specific steps that the type according to data packet after parsing is stored in real time historical database include:
It will be transmitted in different data handling queues after packet classification after parsing, and will according to different agreement specifications
Data parsing is stored into memory database；
Judge whether memory storage area has expired while write-in, continues to be stored in memory database when less than, otherwise, by memory
In data deposit buffer area in memory block, data are stored in historical data base using data conversion storage mechanism by data buffer zone.
Further, in the method, the business service includes workshop rights management, technique virtualization configuration, production
Process monitoring, fault pre-alarming record, optimal control for energy saving and energy consumption forecast analysis；The monitoring server is by the data base of storage
Include: in the specific steps that artificial intelligence carries out business service
The data of storage are subjected to data prediction, the data prediction includes data cleansing, data integration, data change
It changes and hough transformation；
Data after data prediction are subjected to business service based on the intelligent algorithm in algorithms library；The algorithms library
In include sorting algorithm, association algorithm, regression algorithm and clustering algorithm.
Example IV
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of agricultural machinery manufacture Internet of Things monitoring method.
Embodiment five
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
Calculation machine readable storage medium storing program for executing is suitable for being loaded by processor and being executed a kind of agricultural machinery for storing a plurality of instruction, described instruction
Manufacture Internet of Things monitoring method.
These computer executable instructions execute the equipment according to each reality in the disclosure
Apply method or process described in example.
In the present embodiment, computer program product may include computer readable storage medium, containing for holding
The computer-readable program instructions of row various aspects of the disclosure.Computer readable storage medium, which can be, can keep and store
By the tangible device for the instruction that instruction execution equipment uses.Computer readable storage medium for example can be-- but it is unlimited
In-- storage device electric, magnetic storage apparatus, light storage device, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned
Any appropriate combination.The more specific example (non exhaustive list) of computer readable storage medium includes: portable computing
Machine disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or
Flash memory), static random access memory (SRAM), Portable compressed disk read-only memory (CD-ROM), digital versatile disc
(DVD), memory stick, floppy disk, mechanical coding equipment, the punch card for being for example stored thereon with instruction or groove internal projection structure, with
And above-mentioned any appropriate combination.Computer readable storage medium used herein above is not interpreted instantaneous signal itself,
The electromagnetic wave of such as radio wave or other Free propagations, the electromagnetic wave propagated by waveguide or other transmission mediums (for example,
Pass through the light pulse of fiber optic cables) or pass through electric wire transmit electric signal.
Computer-readable program instructions described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network
Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing present disclosure operation can be assembly instruction, instruction set architecture (ISA)
Instruction, machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programmings
The source code or object code that any combination of language is write, the programming language include the programming language-of object-oriented such as
C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer-readable program refers to
Order can be executed fully on the user computer, partly be executed on the user computer, as an independent software package
Execute, part on the user computer part on the remote computer execute or completely on a remote computer or server
It executes.In situations involving remote computers, remote computer can include local area network by the network-of any kind
(LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize internet
Service provider is connected by internet).In some embodiments, by being believed using the state of computer-readable program instructions
Breath comes personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or programmable logic
Array (PLA), the electronic circuit can execute computer-readable program instructions, to realize the various aspects of present disclosure.
Embodiment six
According to the one aspect of one or more other embodiments of the present disclosure, a kind of agricultural machinery manufacture Internet of Things monitoring dress is provided
It sets.
A kind of agricultural machinery manufacture Internet of Things monitoring device, manufactures Internet of Things monitoring method based on a kind of agricultural machinery, comprising:
Acquisition module is configured as receiving the linking request of acquisition terminal, be connect parallel according to the linking request of acquisition terminal
The agricultural machinery for receiving the acquisition that acquisition terminal is packaged according to device type manufactures real-time status data；
Memory module is configured as subpackage and parses received agricultural machinery manufacture real-time status data, according to data packet after parsing
Type be stored in real-time data base, historical data base and/or according to agricultural machinery manufacture that entity builds based on E-R model
Relational database；
Business service module is configured as the data that will be stored and is based on artificial intelligence progress business service, obtains business clothes
Business data；
Display module is configured as carrying out two-way communication, transmission service service according to business service data and user terminal
User terminal requests instruction searches business service data simultaneously to user terminal or based on the received for event trigger information in data
Corresponding data is sent to user terminal.
It should be noted that although being referred to several modules or submodule of equipment in the detailed description above, it is this
Division is only exemplary rather than enforceable.In fact, in accordance with an embodiment of the present disclosure, two or more above-described moulds
The feature and function of block can embody in a module.Conversely, the feature and function of an above-described module can be with
Further division is to be embodied by multiple modules.
The disclosure the utility model has the advantages that
A kind of agricultural machinery manufacture Internet of Things monitoring method and system that the disclosure provides, in combination with Internet of Things technology, for agricultural machinery
Manufacturing process demand and data characteristics, construct agricultural machinery manufacture Internet of Things monitoring method and system, manufacture Internet of Things using agricultural machinery
Real-time data sampling and processing, realizes the complete perception and real time monitoring of man-machine material method ring in workshop, and comprehensive multi-thread concurrent is logical
Letter, real-time history data storage strategy, the detection acquisition that can satisfy production line overall process data information are applied with processing, thus
Production efficiency is improved, energy saving cost realizes that agricultural machinery production is promoted in manufacture level and the great-leap-forward of management level, makes agricultural machinery
Manufacturing industry manufactures Paradigm Change from traditional mode of production structure to novel intelligent.
The foregoing is merely preferred embodiment of the present disclosure, are not limited to the disclosure, for the skill of this field
For art personnel, the disclosure can have various modifications and variations.It is all within the spirit and principle of the disclosure, it is made any to repair
Change, equivalent replacement, improvement etc., should be included within the protection scope of the disclosure.Therefore, the disclosure is not intended to be limited to this
These embodiments shown in text, and it is to fit to the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. a kind of agricultural machinery manufactures Internet of Things monitoring method, which is characterized in that this method comprises:
Acquisition terminal acquires agricultural machinery and manufactures real-time status data, and sorts data into packing according to device type, sends link and asks
It asks to monitoring server；
The linking request of monitoring server acquisition terminal based on the received, parallel to receive the agricultural machinery manufacture that acquisition terminal is packaged real-time
Status data；
Monitoring server subpackage parses received agricultural machinery and manufactures real-time status data, is deposited according to the type of data packet after parsing
It is stored in real time historical database and/or the relational database based on E-R model that entity is built is manufactured according to agricultural machinery；
The data of storage are based on artificial intelligence and carry out business service by monitoring server, obtain business service data；
Monitoring server carries out two-way communication according to business service data and user terminal, the event in transmission service service data
To user terminal or based on the received, user terminal requests instruction lookup business service Data Concurrent send corresponding data to triggering information
To user terminal.
2. a kind of agricultural machinery as described in claim 1 manufactures Internet of Things monitoring method, which is characterized in that in the method, at this
In method, the agricultural machinery manufacture real-time status data includes static data and dynamic data, and the static data includes that personnel are detailed
Thin information, equipment details and production technology information；The dynamic data include personnel activity's information, location information, up and down
Station period, equipment running status, location information, key parameter, fault alarm information, order information, environmental information, energy consumption letter
Breath and environmental data.
And/or the examination question in the relational database include administrative staff's information entity, production space entity, equipment entity and
Technical papers entity is many-one relationship, the production space between administrative staff's information entity and production space entity
Entity and equipment entity are many-to-one relationship, and administrative staff's information entity and technical papers entity are many-one relationship.
And/or in the method, the real time historical database includes memory database and historical data base, the memory number
It is stored according to unique ID value is corresponded to as basic unit using equipment in library, and every kind of device type creation one is manufactured according to agricultural machinery
A corresponding memory field；
The specific steps that the type according to data packet after parsing is stored in real time historical database include:
It will be transmitted in different data handling queues after packet classification after parsing, and according to different agreement specifications by data
Parsing is stored into memory database；
Judge whether memory storage area has expired while write-in, continues to be stored in memory database when less than, otherwise, by memory storage
In data deposit buffer area in area, data are stored in historical data base using data conversion storage mechanism by data buffer zone.
3. a kind of agricultural machinery as described in claim 1 manufactures Internet of Things monitoring method, which is characterized in that in the method, described
Business service includes workshop rights management, technique virtualization configuration, production process monitoring, fault pre-alarming record, energy saving optimizing control
System and energy consumption forecast analysis；The data of storage are carried out the specific steps of business service by the monitoring server based on artificial intelligence
Include:
The data of storage are subjected to data prediction, the data prediction include data cleansing, data integration, data transformation and
Hough transformation；
Data after data prediction are subjected to business service based on the intelligent algorithm in algorithms library；It is wrapped in the algorithms library
Include sorting algorithm, association algorithm, regression algorithm and clustering algorithm.
4. a kind of agricultural machinery manufactures network monitoring system for things, which is based on a kind of agricultural machinery as described in any one of claims 1-3
Manufacture Internet of Things monitoring method, comprising: sequentially connected sensing layer, data Layer, service layer and application layer；
The sensing layer, for manufacturing real-time status data using acquisition terminal acquisition agricultural machinery, and according to device type by data
Classifying packing sends linking request to data Layer；
The data Layer, it is parallel to receive acquisition eventually for the linking request using monitoring server acquisition terminal based on the received
The agricultural machinery that end is packaged manufactures real-time status data；Subpackage parses received agricultural machinery and manufactures real-time status data, according to number after parsing
Real time historical database is stored according to the type of packet and/or the pass based on E-R model that entity is built is manufactured according to agricultural machinery
It is database；
The service layer carries out business clothes for the data layer data of storage to be based on artificial intelligence using monitoring server
Business, obtains business service data；
The application layer, for receiving service layer's transmission service clothes using user terminal and service layer's two-way communication
Event trigger information or transmission user terminal requests instruction in business data search business service data and receive respective feedback number
According to.
5. a kind of agricultural machinery as claimed in claim 4 manufactures network monitoring system for things, which is characterized in that in the method, described
Acquisition terminal includes RFID, Internet of things node, data concentrator, general DDC and loop control unit；
The RFID is used for collection technology data, demographic data and material information；
The Internet of things node is used to acquire workshop environmental data and crucial electrical equipment electric parameter, and issues Energy Saving Control
Strategy；
The data concentrator is for acquiring consumption information；
The general DDC is used to acquire the data of facing production course, and the data of the facing production course include temperature, wind
Pressure, valve, in place with occupy-place signal；
The loop control unit controls the start and stop of unit equipment in workshop for setting Energy Saving Control strategy.
And/or the sensing layer by original PLC or DCS system by traditional OPC mode by data integration to the data
Layer.
6. a kind of agricultural machinery manufactures Internet of Things monitoring method, this method is realized in monitoring server characterized by comprising
The linking request for receiving acquisition terminal, receives acquisition terminal according to device type according to the linking request of acquisition terminal parallel
The agricultural machinery of the acquisition of packing manufactures real-time status data；
Subpackage parses received agricultural machinery and manufactures real-time status data, is stored in real-time number according to the type of data packet after parsing
The relational database based on E-R model that entity is built is manufactured according to library, historical data base and/or according to agricultural machinery；
The data of storage are based on artificial intelligence and carry out business service, obtain business service data；
Two-way communication is carried out according to business service data and user terminal, the event trigger information in transmission service service data is extremely
User terminal or based on the received user terminal requests instruction search business service Data Concurrent and send corresponding data to user terminal.
7. a kind of agricultural machinery as claimed in claim 6 manufactures Internet of Things monitoring method, in the method, the agricultural machinery manufacture is real-time
Status data includes static data and dynamic data, and the static data includes personnel's details, equipment details and life
Production. art information；The dynamic data includes personnel activity's information, location information, upper and lower station period, equipment running status, position
Confidence breath, key parameter, fault alarm information, order information, environmental information, consumption information and environmental data.
And/or in the method, the examination question in the relational database include administrative staff's information entity, production space entity,
Equipment entity and technical papers entity are many-one relationship, institute between administrative staff's information entity and production space entity
It states production space entity and equipment entity is many-to-one relationship, administrative staff's information entity and technical papers entity are a pair
More relationships.
And/or in the method, the real time historical database includes memory database and historical data base, the memory number
It is stored according to unique ID value is corresponded to as basic unit using equipment in library, and every kind of device type creation one is manufactured according to agricultural machinery
A corresponding memory field；
The specific steps that the type according to data packet after parsing is stored in real time historical database include:
It will be transmitted in different data handling queues after packet classification after parsing, and according to different agreement specifications by data
Parsing is stored into memory database；
Judge whether memory storage area has expired while write-in, continues to be stored in memory database when less than, otherwise, by memory storage
In data deposit buffer area in area, data are stored in historical data base using data conversion storage mechanism by data buffer zone.
And/or in the method, the business service includes workshop rights management, technique virtualization configuration, production process prison
Control, fault pre-alarming record, optimal control for energy saving and energy consumption forecast analysis；The data of storage are based on artificial by the monitoring server
Intelligently the specific steps of progress business service include:
The data of storage are subjected to data prediction, the data prediction include data cleansing, data integration, data transformation and
Hough transformation；
Data after data prediction are subjected to business service based on the intelligent algorithm in algorithms library；It is wrapped in the algorithms library
Include sorting algorithm, association algorithm, regression algorithm and clustering algorithm.
8. a kind of computer readable storage medium, wherein being stored with a plurality of instruction, which is characterized in that described instruction is suitable for by terminal
The processor of equipment is loaded and is executed such as a kind of described in any item agricultural machinery manufacture Internet of Things monitoring methods of claim 6-7.
9. a kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；It calculates
Machine readable storage medium storing program for executing is for storing a plurality of instruction, which is characterized in that described instruction is suitable for being loaded by processor and being executed such as power
Benefit requires a kind of described in any item agricultural machinery manufacture Internet of Things monitoring methods of 6-7.
10. a kind of agricultural machinery manufactures Internet of Things monitoring device, which is characterized in that based on such as claim 6-7 described in any item one
Kind agricultural machinery manufactures Internet of Things monitoring method, comprising:
Acquisition module is configured as receiving the linking request of acquisition terminal, is received and adopted parallel according to the linking request of acquisition terminal
The agricultural machinery for the acquisition that collection terminal is packaged according to device type manufactures real-time status data；
Memory module is configured as subpackage and parses received agricultural machinery manufacture real-time status data, according to the class of data packet after parsing
Type is stored in real-time data base, historical data base and/or manufactures the relationship based on E-R model that entity is built according to agricultural machinery
Database；
Business service module is configured as the data that will be stored and is based on artificial intelligence progress business service, obtains business service number
According to；
Display module is configured as carrying out two-way communication, transmission service service data according to business service data and user terminal
In event trigger information user terminal requests instruction is searched business service Data Concurrent and is given to user terminal or based on the received
Corresponding data is to user terminal.
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| CN110598431A (en) * | 2019-09-05 | 2019-12-20 | 彩讯科技股份有限公司 | Internet of things data processing method and device, server and storage medium |
| CN110737732A (en) * | 2019-10-25 | 2020-01-31 | 广西交通科学研究院有限公司 | electromechanical equipment fault early warning method |
| CN110930069A (en) * | 2019-12-10 | 2020-03-27 | 航天新长征大道科技有限公司 | Data acquisition and packaging method and system, readable storage medium and computer |
| CN110995774A (en) * | 2019-09-30 | 2020-04-10 | 大唐可再生能源试验研究院有限公司 | Universal SCADA system for wind power plant |
| CN111371832A (en) * | 2019-12-11 | 2020-07-03 | 添可智能科技有限公司 | Data storage and detection method and equipment |
| CN111624960A (en) * | 2020-04-23 | 2020-09-04 | 北京机械工业自动化研究所有限公司 | Intelligent remote parameter monitoring system of manned spacecraft manufacturing equipment production line |
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| CN110598431A (en) * | 2019-09-05 | 2019-12-20 | 彩讯科技股份有限公司 | Internet of things data processing method and device, server and storage medium |
| CN110995774B (en) * | 2019-09-30 | 2024-01-05 | 大唐可再生能源试验研究院有限公司 | Universal SCADA system for wind farm |
| CN110995774A (en) * | 2019-09-30 | 2020-04-10 | 大唐可再生能源试验研究院有限公司 | Universal SCADA system for wind power plant |
| CN110737732A (en) * | 2019-10-25 | 2020-01-31 | 广西交通科学研究院有限公司 | electromechanical equipment fault early warning method |
| CN110930069A (en) * | 2019-12-10 | 2020-03-27 | 航天新长征大道科技有限公司 | Data acquisition and packaging method and system, readable storage medium and computer |
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| CN111624960A (en) * | 2020-04-23 | 2020-09-04 | 北京机械工业自动化研究所有限公司 | Intelligent remote parameter monitoring system of manned spacecraft manufacturing equipment production line |
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| CN112540580A (en) * | 2020-10-30 | 2021-03-23 | 红云红河烟草(集团)有限责任公司 | Method for monitoring equipment state of wire making and feeding system based on historical production data |
| CN113382069A (en) * | 2021-06-09 | 2021-09-10 | 浙江中控技术股份有限公司 | Data transmission method, device and equipment for oil and gas pipeline and storage medium |
| CN113468261A (en) * | 2021-06-24 | 2021-10-01 | 苏州琅润达检测科技有限公司 | Method and system for constructing entity relationship of Internet of things based on graphic editing engine |
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| CN114116654A (en) * | 2021-11-30 | 2022-03-01 | 山东浪潮科学研究院有限公司 | MongoDB-based agricultural Internet of things user information management method, equipment and medium |
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