CN211692775U - Wisdom compressor control system - Google Patents
Wisdom compressor control system Download PDFInfo
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- CN211692775U CN211692775U CN202020080925.2U CN202020080925U CN211692775U CN 211692775 U CN211692775 U CN 211692775U CN 202020080925 U CN202020080925 U CN 202020080925U CN 211692775 U CN211692775 U CN 211692775U
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Abstract
The utility model relates to a wisdom compressor control system, including a plurality of independent compressor control wares, each the output of compressor control ware all links to each other with the input of data access unit through the gateway, the output of data access unit links to each other with data cleaning unit input, the output of data cleaning unit links to each other with data classification storage unit's input, data classification storage unit's output links to each other with relational database's input, data classification storage unit's output still links to each other with the input of time sequence database, relational database and time sequence database pass through the API gateway and link to each other with data receiving terminal's input. The utility model discloses can realize the operation of convenient change, effectual improvement work efficiency reaches reduce cost's purpose.
Description
Technical Field
The utility model relates to a control system especially relates to a wisdom compressor control system.
Background
The compressor is regarded as the core of the refrigerating system, and the intelligent compressor controller is a close-fitting manager of the compressor and can be applied to various industries along with the refrigerating system, such as food preservation and food cold processing; refrigerating storage and transportation; preserving medicines and vaccines in the medical industry; raw materials in the chemical industry need to be stored in a specific temperature environment; in the farming and animal husbandry, crop seeds are treated at low temperature to cultivate crops in high and cold areas, and certain economic crops need to grow under the condition of specific temperature, such as mushroom cultivation.
For the compressor protector in the current market, the refrigeration equipment is not linked, and does not have any function of the internet, and a user needs to carry out system operation and maintenance on the equipment site, and cannot acquire relevant information of the equipment and the system and process the alarm state of the system on the site, so that the equipment and the system are inconvenient to maintain, and the cost is high; data analysis cannot be performed on the recorded system history data.
In view of the above-mentioned drawbacks, the present designer is actively making research and innovation to create an intelligent compressor control system with a novel structure, so that the intelligent compressor control system has more industrial utility value.
SUMMERY OF THE UTILITY MODEL
In order to solve the technical problem, the utility model aims at providing an wisdom compressor control system.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
the utility model provides an wisdom compressor control system which characterized in that: comprising a data engine unit for remote monitoring of the compressor,
the system comprises a data engine unit, a plurality of independent compressor controllers, a data receiving terminal and a data cleaning unit, wherein the output end of the data engine unit is connected with the input end of the data access unit through a gateway;
the system comprises a multi-scenario algorithm model unit for the operation parameters of a compressor, and a data engine unit, wherein the multi-scenario algorithm model unit and the data engine unit are mutually connected in an intersecting way;
the device monitoring and analyzing unit based on big data is connected with the multi-scenario algorithm model unit in an intersecting way through the API gateway;
the system also comprises an analysis and visualization unit based on big data, and the analysis and visualization unit is mutually connected with the multi-scenario algorithm model unit in an intersecting manner.
Preferably, in the intelligent compressor control system, the data access unit is a message server.
Preferably, in the intelligent compressor control system, the data washing unit is a rule engine.
Preferably, in the intelligent compressor control system, the data classification storage unit is a distributed message queue.
Preferably, in the intelligent compressor control system, the data receiving terminal is a PC or a mobile terminal.
Preferably, in any one of the intelligent compressor control system, the compressor controller comprises a control module, the control end of the control module is connected with the controlled end of the switch operation module, the control end of the switch operation module is connected with the controlled end of the equipment, the control module is connected with an external operation panel module in an intersecting way, the input end of the control module is connected with the output end of the external door opening switch module of the equipment, the sensor is arranged indoors and connected with the input end of the control module, the input end of the control module is connected with the output end of the power module, the control module is connected with the input end of the gateway through the communication module, the input end of the operation power module is connected with the input end of the switch operation module, the output end of the operation power module is connected with the input end of the control module, and the feedback end of the equipment operation current module is connected with the output end of the equipment, and the output end of the equipment operation current module is connected with the input end of the control module.
Preferably, in the intelligent compressor control system, the control module is an ARM processor of a Cortex-M4 core.
Borrow by above-mentioned scheme, the utility model discloses at least, have following advantage:
the utility model discloses big data construction unified general suitable entity attribute semantic model and construction semantic template knowledge base in the operation monitor process to the compressor. The method is used for processing diversity requirements, researching a machine learning method oriented to entity semantic labeling from multiple angles, and simultaneously constructing an evolution rule and an evolution path of the same entity label in a given time space range to achieve real-time dynamic selection of semantic representation and understanding of the compressor. The user is helped to get new findings from the complex data faster and better.
The above description is only an overview of the technical solution of the present invention, and in order to make the technical means of the present invention clearer and can be implemented according to the content of the description, the following detailed description is made with reference to the preferred embodiments of the present invention and accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of the present invention;
FIG. 2 is a schematic diagram of a data engine unit according to the present invention;
fig. 3 is a schematic structural diagram of the compressor controller of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention is provided with reference to the accompanying drawings and examples. The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention.
In order to make the technical solution of the present invention better understood, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. The components of embodiments of the present invention, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiment of the present invention, all other embodiments obtained by the person skilled in the art without creative work belong to the protection scope of the present invention.
Examples
As shown in fig. 1, an intelligent compressor control system includes a data engine unit 1 for remote monitoring of a compressor,
the data engine unit 1 comprises a plurality of independent compressor controllers 10, the output end of each compressor controller 10 is connected with the input end of a data access unit 13 through a gateway 12, the output end of the data access unit 13 is connected with the input end of a data cleaning unit 14, the output end of the data cleaning unit 14 is connected with the input end of a data classification storage unit 15, the output end of the data classification storage unit 15 is connected with the input end of a relational database 16, the output end of the data classification storage unit 15 is also connected with the input end of a time sequence database 17, and the relational database 16 and the time sequence database 17 are connected with the input end of a data receiving terminal 11 through an API gateway 18;
the multi-scene algorithm model unit 2 is used for the operation parameters of the compressor and is connected with the data engine unit 1 in an intersecting way;
the device monitoring and analyzing unit comprises a device monitoring and analyzing unit 3 based on big data, and is mutually connected with a multi-scenario algorithm model unit 2 in an intersecting way through an API gateway 18;
the system also comprises an analysis and visualization unit 4 based on big data, and the analysis and visualization unit is mutually connected with the multi-scenario algorithm model unit 2 in an intersecting way.
1. Data engine unit for remote monitoring of compressor
As shown in fig. 2, a clustered message server, a rule engine, and a distributed message queue are used, and a time sequence database and a relational database are used for data access in a multi-source data-oriented scene, so as to establish a compressor monitoring data engine.
2. Multi-scene algorithm model unit based on compressor operation parameters
The method comprises the steps of extracting features of compressor data by using technologies such as feature mining based on machine learning, data preprocessing algorithm and the like, constructing a decision analysis algorithm based on a knowledge model, and realizing application of scene-based algorithms, such as product fault diagnosis and prediction, analysis and optimization of a supply chain, product sales prediction and demand management and product quality management and analysis.
3. Equipment monitoring and analyzing unit based on big data
And carrying out statistical analysis on the collected compressor data by utilizing a big data analysis technology and combining a deep learning technology, and realizing data interaction with other information systems by adopting a standard API (application program interface).
4. Analysis and visual presentation unit of big data
And displaying the acquired data after data model analysis, and performing diversification on the acquired data and analysis results in various modes such as a broken line graph, a pie chart, a bar chart, a region information distribution graph and the like.
The utility model discloses in data access unit 13 is message server.
The utility model discloses in data washing unit 14 is the rule engine.
The utility model discloses in data classification memory cell 15 is distributed message queue.
The utility model discloses in data receiving terminal 11 is PC, or is mobile terminal.
Example one
On the basis of the above embodiments, as shown in fig. 3, the compressor controller 10 includes a control module 100, a control end of the control module 100 is connected to a controlled end of a switch operation module 101, a control end of the switch operation module 101 is connected to a controlled end of the device, the control module 100 is connected to an external operation panel module 102 in an intersecting manner, an input end of the control module 100 is connected to an output end of an external door opening switch module 103 of the device, a sensor 104 is disposed indoors and connected to an input end of the control module 100, an input end of the control module 100 is connected to an output end of a power module 105, the control module 100 is connected to an input end of the gateway 12 through a communication module 106, an input end of an operation power module 107 is connected to an input end of the switch operation module 101, and an output end of the operation power module 107 is connected to an input end of the control module 100, the feedback terminal of the device operating current module 108 is connected to the output terminal of the device, and the output terminal of the device operating current module 108 is connected to the input terminal of the control module 100.
Control module 100 is the ARM processor of Cortex-M4 core.
In the embodiment, the microprocessor adopts an ARM processor with a Cortex-M4 core, the GPRS module is adopted for wireless communication, an RS485 interface is adopted for communication with a panel, the output of a main controller adopts relay output, a USB interface is adopted for control program upgrading, USB can read and control stored data, the sensor is a PTC temperature sensor, current and voltage sampling circuits are all operational amplifier conditioning circuits based on full-wave sampling, and an electric quantity metering module is adopted for electric quantity statistics. The clock circuit adopts a real-time clock chip, and the control power supply comprises an AC-DC alternating current to direct current and a DC-DC direct current to direct current voltage reduction conditioning circuit.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and it should be noted that, for those skilled in the art, a plurality of modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (7)
1. The utility model provides an wisdom compressor control system which characterized in that: comprising a data engine unit (1) for remote monitoring of the compressor,
the data engine unit (1) comprises a plurality of independent compressor controllers (10), the output end of each compressor controller (10) is connected with the input end of a data access unit (13) through a gateway (12), the output end of the data access unit (13) is connected with the input end of a data cleaning unit (14), the output end of the data cleaning unit (14) is connected with the input end of a data classification storage unit (15), the output end of the data classification storage unit (15) is connected with the input end of a relational database (16), the output end of the data classification storage unit (15) is further connected with the input end of a time sequence database (17), and the relational database (16) and the time sequence database (17) are connected with the input end of a data receiving terminal (11) through an API gateway (18);
the system comprises a multi-scenario algorithm model unit (2) used for the operation parameters of the compressor, and the multi-scenario algorithm model unit is connected with a data engine unit (1) in an intersecting way;
the device monitoring and analyzing unit comprises a device monitoring and analyzing unit (3) based on big data, and is connected with a multi-scenario algorithm model unit (2) in an intersecting way through an API gateway (18);
the system also comprises an analysis and visualization unit (4) based on big data, and the analysis and visualization unit is mutually connected with the multi-scenario algorithm model unit (2) in an intersecting manner.
2. The intelligent compressor control system of claim 1, wherein: the data access unit (13) is a message server.
3. The intelligent compressor control system of claim 1, wherein: the data cleansing unit (14) is a rules engine.
4. The intelligent compressor control system of claim 1, wherein: the data classification storage unit (15) is a distributed message queue.
5. The intelligent compressor control system of claim 1, wherein: the data receiving terminal (11) is a PC or a mobile terminal.
6. An intelligent compressor control system as claimed in any one of claims 1 to 5, wherein: the compressor controller (10) comprises a control module (100), the control end of the control module (100) is connected with the controlled end of a switch operation module (101), the control end of the switch operation module (101) is connected with the controlled end of equipment, the control module (100) is connected with an external operation panel module (102) in an intersecting manner, the input end of the control module (100) is connected with the output end of an external door opening switch module (103) of the equipment, a sensor (104) is arranged indoors and connected with the input end of the control module (100), the input end of the control module (100) is connected with the output end of a power module (105), the control module (100) is connected with the input end of a gateway (12) through a communication module (106), and the input end of an operation power module (107) is connected with the input end of the switch operation module (101), the output end of the operation power supply module (107) is connected with the input end of the control module (100), the feedback end of the equipment operation current module (108) is connected with the output end of the equipment, and the output end of the equipment operation current module (108) is connected with the input end of the control module (100).
7. The intelligent compressor control system of claim 6, wherein: the control module (100) is an ARM processor of a Cortex-M4 core.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020080925.2U CN211692775U (en) | 2020-01-15 | 2020-01-15 | Wisdom compressor control system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020080925.2U CN211692775U (en) | 2020-01-15 | 2020-01-15 | Wisdom compressor control system |
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| CN211692775U true CN211692775U (en) | 2020-10-16 |
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