CN107942155A - Energy efficiency analysis intelligent workstation - Google Patents
Energy efficiency analysis intelligent workstation Download PDFInfo
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- CN107942155A CN107942155A CN201711001232.9A CN201711001232A CN107942155A CN 107942155 A CN107942155 A CN 107942155A CN 201711001232 A CN201711001232 A CN 201711001232A CN 107942155 A CN107942155 A CN 107942155A
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- 238000006243 chemical reaction Methods 0.000 claims abstract description 9
- 238000012544 monitoring process Methods 0.000 claims description 20
- 238000004891 communication Methods 0.000 claims description 6
- 238000002955 isolation Methods 0.000 claims description 4
- 230000004888 barrier function Effects 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 238000005265 energy consumption Methods 0.000 abstract description 2
- 239000002699 waste material Substances 0.000 abstract description 2
- 230000008859 change Effects 0.000 description 10
- 239000000446 fuel Substances 0.000 description 8
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
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Abstract
The invention discloses a kind of Energy Efficiency Analysis intelligent workstation, including signal filtering modular converter, equipment state signal conversion module, parameter input module, core controller, equipment controling signal output filtering modular converter, inverter control signal output filtering modular converter, control result feedback display module.The work station can realize the operating status of system, operation output adjust automatically, the supply and demand of system is reached balance, energy consumption, which wastes, to be reduced.
Description
Technical Field
The invention relates to an intelligent workstation, in particular to an energy efficiency analysis intelligent workstation.
Background
At present, large-scale electric equipment of working condition enterprises basically belongs to constant-load operation, and the change of the production capacity, the change of the production process, the change of seasons, the change of equipment efficiency and the change of outside air temperature and humidity can cause the change of system load and the change of system equipment capacity.
Each system is designed based on the extreme conditions of hottest weather, maximum humidity, maximum throughput, most complex production process, and compromised equipment efficiency and highest load. The system is required to be capable of ensuring normal operation under such extreme conditions, which requires investing most or all of the equipment capacity. However, in daily production, the extreme conditions are very short, and the time for the extreme conditions to occur is not several days in the year, most of the time is under low load, and the maximum system capacity is still used, so that huge waste is caused.
Most of the manual operation is performed on the manual site, the operation and maintenance of the equipment are required every day, the inconvenience of workers is brought, long-time duty is required, and the manual operation and maintenance rate is greatly increased.
Disclosure of Invention
An energy efficiency analysis intelligent workstation comprises: the device comprises a signal filtering and converting module, an equipment state signal filtering and converting module, a parameter input module, a core controller, a signal filtering and converting module, a server, a monitoring computer, an equipment control signal output filtering and converting module, a frequency converter control output filtering and converting module and a control result feedback display module; the signal filtering and converting module is used for accessing external signals outside the system; the device state signal filtering and converting module is used for accessing a device state signal in a system, wherein the device state refers to the state of a device which needs to be controlled and the state of other devices which have relevant influence on the devices; the parameter input module is used for accessing a control parameter signal of the system; the core controller calculates the output quantity required by the system according to the received signal; the signal filtering and converting module is used for filtering and converting signals between the core controller and the server so that the core controller transmits all set parameters of the system and real-time data of equipment operation to the server; the server is used for storing the received data about the system; the monitoring computer is used for receiving the data of the server and feeding back data information to the user; the equipment control signal output filtering conversion module is used for receiving the instruction of the core controller and outputting the instruction to equipment in the system; the frequency converter control output filtering conversion module is used for receiving the instruction of the core controller and outputting the instruction to a frequency converter in the system; the control result feedback display module is used for receiving the data of the core controller and outputting the data to a human-computer interface in the system; the signal filtering and converting module, the equipment state signal filtering and converting module and the parameter input module are all connected to the core controller; the equipment control signal output filtering and converting module, the frequency converter control output filtering and converting module and the control result feedback display module are connected to the core controller; the core controller, the signal filtering and converting module, the server and the monitoring computer are connected in sequence.
Further, the core controller further comprises: and the analog quantity module is used for monitoring the state of the core data monitoring equipment.
Further, the core controller further comprises: the digital IO module is used for controlling the number and the sequence of the field devices to be started and the analog output module is mainly used for controlling the frequency output of the frequency converter.
Further, the core controller further comprises: and the communication module is used for transmitting the real-time operation data of the system to a human-computer interface of the system.
Further, the signal filtering and converting module can filter out signal interference between the core controller and the server.
Further, the signal received by the signal filtering and converting module includes: the original DCS operating system uses current, voltage or resistance signals distributed by a distributor and current, voltage or resistance signals collected by field installation equipment.
Further, the energy efficiency analysis intelligent workstation further comprises: and the isolation safety barrier is used for safely isolating the signal entering the signal filtering and converting module.
Further, the core controller includes a programmable logic controller.
Further, the core controller includes a computer.
Furthermore, the monitoring computer comprises a mobile intelligent terminal, and the mobile intelligent terminal can remotely check the system operation state and modify the operation parameters.
The invention has the advantages that:
the energy efficiency analysis intelligent workstation is capable of intelligently controlling the system to provide required load according to the actual load of the system.
Drawings
FIG. 1 is a block diagram of a preferred embodiment of an energy efficiency analysis intelligent workstation of the present invention;
FIG. 2 is a block diagram of the power supply portion of the energy efficiency analysis intelligent workstation of the present invention;
fig. 3 is a block diagram of a cloud server adopted by the energy efficiency analysis intelligent workstation of the present invention.
Detailed Description
As shown in fig. 1, the energy efficiency analysis intelligent workstation includes: the device comprises a signal filtering and converting module, an equipment state signal filtering and converting module, a parameter input module, a core controller, a signal filtering and converting module, a server, a monitoring computer, an equipment control signal output filtering and converting module, a frequency converter control output filtering and converting module and a control result feedback display module; the signal filtering and converting module is used for accessing external signals outside the system; the device state signal filtering and converting module is used for accessing a device state signal in a system, wherein the device state refers to the state of a device which needs to be controlled and the state of other devices which have relevant influence on the devices; the parameter input module is used for accessing a control parameter signal of the system; the core controller calculates the output quantity required by the system according to the received signal; the signal filtering and converting module is used for filtering and converting signals between the core controller and the server so that the core controller transmits all set parameters of the system and real-time data of equipment operation to the server; the server is used for storing the received data about the system; the monitoring computer is used for receiving the data of the server and feeding back data information to the user; the equipment control signal output filtering conversion module is used for receiving the instruction of the core controller and outputting the instruction to equipment in the system; the frequency converter control output filtering conversion module is used for receiving the instruction of the core controller and outputting the instruction to a frequency converter in the system; the control result feedback display module is used for receiving the data of the core controller and outputting the data to a human-computer interface in the system; the signal filtering and converting module, the equipment state signal filtering and converting module and the parameter input module are all connected to the core controller; the equipment control signal output filtering and converting module, the frequency converter control output filtering and converting module and the control result feedback display module are connected to the core controller; the core controller, the signal filtering and converting module, the server and the monitoring computer are connected in sequence.
Specifically, the core controller further includes: and the analog quantity module is used for monitoring the state of the core data monitoring equipment.
Specifically, the core controller further includes: the digital quantity IO module is used for controlling the starting quantity and sequence of the field devices and the analog quantity output module is mainly used for controlling the frequency output of the frequency converter or the frequency conversion device and the frequency converter or the frequency conversion device.
Specifically, the core controller further includes: and the communication module is used for transmitting the real-time operation data of the system to a human-computer interface of the system.
Specifically, the signal filtering and converting module can filter out signal interference between the core controller and the server.
Specifically, the signal received by the signal filtering and converting module includes: current, voltage or resistance signals distributed by a signal distributor and current, voltage or resistance signals collected by field installation equipment are used in an original DCS operating system.
Specifically, the energy efficiency analysis intelligent workstation further comprises: and the isolation safety barrier is used for safely isolating the signal entering the signal filtering and converting module.
Specifically, the core controller includes a programmable logic controller. Alternatively, the core controller comprises a computer. In addition, the monitoring computer can comprise a mobile intelligent terminal.
By adopting the scheme, the system parameters can be automatically and completely sampled and controlled according to the change of the tail end load of the production of the working condition enterprise, so that the output quantity of the system equipment synchronously changes along with the change of the tail end load, the former constant load operation is changed into the variable load operation which changes along with the change of the tail end requirement, and the aim of greatly reducing the energy consumption is fulfilled. Meanwhile, the system is additionally provided with a signal filtering and converting module, so that all data can be normally communicated.
As an extension, as shown in fig. 2, the energy efficiency analysis intelligent workstation further includes: the system comprises a power grid power interface, a storage battery, a fuel generator and a power management module; the power grid power supply interface is used for accessing electric energy in a power grid; the storage battery is used for storing electric energy; the fuel generator is used for converting the energy of fuel combustion into electric energy; the power management module is used for converting electric energy generated by the power grid power interface, the storage battery and the fuel generator into stable electric energy suitable for the core controller, the signal filtering and converting module, the server and the monitoring computer. The power grid power interface is respectively connected to the power management module and the storage battery, and the electric energy output by the power grid power interface can charge the storage battery besides supplying power to the power management module; the fuel generator is respectively connected to the power management module and the storage battery, and the electric energy output by the fuel generator can be processed to supply power for the power management module and also can be used for charging the storage battery; the storage battery is connected to the power management module, and the storage battery can also charge for the power management module. Under normal conditions, the fuel generator is not started, the power grid power interface supplies power for the intelligent workstation, when the power grid is powered off, the storage battery preferentially supplies power for the power management module, and when the electric quantity of the storage battery is lower than a threshold value, the fuel generator is started to supply power for the power management module and charge the storage battery. This enables the intelligent workstation to operate without interruption.
As shown in fig. 3, as an extension, when a plurality of intelligent workstations are provided, a server and a monitoring computer may not be respectively provided for each intelligent workstation, but a wireless communication device is provided for each intelligent workstation, so that information and data streams are uploaded to a cloud server from a signal filtering earning module through the wireless communication device, and are stored by the cloud server, the cloud server can be accessed and managed by a PC with corresponding management software, and further, the cloud server can form data interaction with a mobile terminal such as a smart phone through a wireless communication mode, thereby extending mobility of platform management.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (10)
1. An energy efficiency analysis intelligent workstation, comprising: the device comprises a signal filtering and converting module, an equipment state signal filtering and converting module, a parameter input module, a core controller, a signal filtering and converting module, a server, a monitoring computer, an equipment control signal output filtering and converting module, a frequency converter control output filtering and converting module and a control result feedback display module;
wherein,
the signal filtering and converting module is used for accessing external signals outside the system;
the equipment state signal filtering and converting module is used for accessing equipment state signals in the system;
the parameter input module is used for accessing a control parameter signal of the system;
the core controller calculates the output quantity required by the system according to the received signal;
the signal filtering and converting module is used for filtering and converting signals between the core controller and the server so that the core controller transmits all set parameters of the system and real-time data of equipment operation to the server;
the server is used for storing the received data about the system;
the monitoring computer is used for receiving the data of the server and feeding back data information to a user;
the equipment control signal output filtering conversion module is used for receiving the instruction of the core controller and outputting the instruction to equipment in the system;
the frequency converter control output filtering conversion module is used for receiving the instruction of the core controller and outputting the instruction to a frequency converter in a system;
the control result feedback display module is used for receiving the data of the core controller and outputting the data to a human-computer interface in the system;
the signal filtering and converting module, the equipment state signal filtering and converting module and the parameter input module are all connected to the core controller;
the equipment control signal output filtering and converting module, the frequency converter control output filtering and converting module and the control result feedback display module are connected to the core controller;
the core controller, the signal filtering and converting module, the server and the monitoring computer are connected in sequence.
2. The energy efficiency analysis intelligent workstation of claim 1, wherein the core controller further comprises: and the analog quantity module is used for monitoring the state of the core data monitoring equipment.
3. The energy efficiency analysis intelligent workstation of claim 1, wherein the core controller further comprises: the digital IO module is used for controlling the starting number and sequence of field devices and the analog output module is mainly used for controlling the frequency output of the frequency converter.
4. The energy efficiency analysis intelligent workstation of claim 1, wherein the core controller further comprises: and the communication module is used for transmitting the real-time operation data of the system to a human-computer interface of the system.
5. The energy efficiency analysis intelligent workstation according to claim 1, wherein the signal filtering and converting module can filter out signal interference between the core controller and the server.
6. The energy efficiency analysis intelligent workstation according to claim 1, wherein the signal received by the signal filtering and converting module comprises: the original DCS operating system uses current, voltage or resistance signals distributed by a distributor and current, voltage or resistance signals collected by field installation equipment.
7. The energy efficiency analysis intelligent workstation according to claim 1, further comprising: and the isolation safety barrier is used for carrying out safety isolation on the signals entering the signal filtering and converting module.
8. The energy efficiency analysis intelligent workstation of claim 1, wherein the core controller comprises a programmable logic controller.
9. The energy efficiency analysis intelligent workstation of claim 1, wherein the core controller comprises a computer.
10. The energy efficiency analysis intelligent workstation according to claim 1, wherein the monitoring computer comprises a mobile intelligent terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711001232.9A CN107942155A (en) | 2017-10-24 | 2017-10-24 | Energy efficiency analysis intelligent workstation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711001232.9A CN107942155A (en) | 2017-10-24 | 2017-10-24 | Energy efficiency analysis intelligent workstation |
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| Publication Number | Publication Date |
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| CN107942155A true CN107942155A (en) | 2018-04-20 |
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| CN201711001232.9A Pending CN107942155A (en) | 2017-10-24 | 2017-10-24 | Energy efficiency analysis intelligent workstation |
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