CN116743805A - Energy management and control cloud platform - Google Patents
Energy management and control cloud platform Download PDFInfo
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- CN116743805A CN116743805A CN202310687612.1A CN202310687612A CN116743805A CN 116743805 A CN116743805 A CN 116743805A CN 202310687612 A CN202310687612 A CN 202310687612A CN 116743805 A CN116743805 A CN 116743805A
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- 238000007405 data analysis Methods 0.000 claims abstract description 14
- 238000010248 power generation Methods 0.000 claims description 42
- 230000000630 rising effect Effects 0.000 claims description 20
- 238000000034 method Methods 0.000 claims description 9
- 230000005355 Hall effect Effects 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 5
- 230000006698 induction Effects 0.000 claims description 3
- 230000002457 bidirectional effect Effects 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 238000007726 management method Methods 0.000 description 13
- 238000005516 engineering process Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000004146 energy storage Methods 0.000 description 2
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 239000002737 fuel gas Substances 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/02—Measuring direction or magnitude of magnetic fields or magnetic flux
- G01R33/06—Measuring direction or magnitude of magnetic fields or magnetic flux using galvano-magnetic devices
- G01R33/07—Hall effect devices
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/02—Measuring direction or magnitude of magnetic fields or magnetic flux
- G01R33/06—Measuring direction or magnitude of magnetic fields or magnetic flux using galvano-magnetic devices
- G01R33/09—Magnetoresistive devices
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
-
- 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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The application discloses an energy management and control cloud platform, which comprises a supervision center and a data acquisition module, wherein the supervision center comprises a data analysis module, a storage module, a data comparison module and an alarm module.
Description
Technical Field
The application relates to the technical field of energy management and control, in particular to an energy management and control cloud platform.
Background
The energy management and control cloud platform is an energy management system based on a cloud computing technology and an Internet of things technology. The system can realize the monitoring, management and optimal control of various energy devices so as to achieve the purposes of saving energy, reducing emission and improving the energy utilization efficiency. The platform integrates various sensors and data acquisition equipment, can monitor the state and the running condition of energy equipment in real time, and quantitatively evaluates and analyzes the energy consumption through data analysis and model prediction technology. The energy management and control cloud platform has the advantages that the state and the running condition of energy equipment are comprehensively and accurately mastered, and the comprehensive energy management and control is realized.
The energy equipment mainly comprises power station equipment: the system comprises power generation equipment such as fuel gas, coal power, wind power, water power and the like; energy storage device: including storage battery, super capacitor, hydrogen storage equipment, etc.; energy conversion equipment: devices including solar panels, fuel cells, photovoltaic inverters, etc.; and when the control platform in the prior art controls the energy devices, the control platform is easy to be interfered by a magnetic field.
For example, the magnetic field may cause disturbances in the data parameters of the power generation device, the energy storage device, and the energy conversion device. In the power generation equipment, for example, wind power generators and hydroelectric power generators each include a rotating shaft center part, and when the magnetic field strength exceeds a certain level, eddy currents are generated, friction resistance increases, and energy loss and efficiency decrease are caused. In addition, the magnetic field has a certain influence on the electrodes and coils in the generator, and the problems of increased resistance, change of the reference value of the inductor and the like can be caused, so that when the power generation equipment is monitored, the influence of the magnetic field on the power generation equipment is required to be considered, and corresponding measures are taken to reduce interference and improve the stability and performance of the equipment.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an energy management and control cloud platform, which solves the problems that: the power generation equipment is easy to be influenced by a magnetic field when being monitored, and the data parameters of the power generation equipment are disturbed, so that the monitored data are inaccurate, and the power generation equipment cannot be correctly controlled by the correct energy.
In order to achieve the above purpose, the application is realized by the following technical scheme: the energy management and control cloud platform comprises a supervision center and a data acquisition module, wherein the supervision center comprises a data analysis module, a storage module, a data comparison module and an alarm module, the output end of the data acquisition module is electrically connected with the input end of the data analysis module, the output end of the data analysis module is electrically connected with the input end of the storage module, the output end of the storage module is in bidirectional connection with the input end of the data comparison module, and the output end of the storage module is electrically connected with the input end of the alarm module;
the data acquisition module is used for acquiring the intensity of the magnetic field;
the data analysis module is used for analyzing and processing the data acquired by the data acquisition module and identifying the data;
the storage module is used for storing and identifying the data obtained by the data analysis module;
the data comparison module is used for comparing the magnetic field acquired by the power generation equipment with a preset value and transmitting a comparison result to the alarm module;
the alarm module is used for carrying out alarm processing on the abnormal data so as to inform staff.
Preferably, the data acquisition module comprises a magnetic field sensor, and the magnetic field sensor is one of a Hall effect sensor, a magneto-resistance sensor and a magnetic induction intensity sensor.
Preferably, the mode of the supervision center processing the data collected by the collection module is as follows:
s1, setting magnetic field parameters as optimal magnetic field parameters, and marking time of different acquired magnetic fields asCJ i， And the magnetic field intensity acquired corresponding to the time of different acquired magnetic fields is marked as CC i Where i represents different times of acquisition of the magnetic field, i=1, 2, … …, n, the interval period between each i being 5mi n;
s2, adoptObtaining the magnetic field rising factor $Q$ of the magnetic field acquired at different times i ；
S3, raising a plurality of magnetic fields by a factor $Q$ i Extracting, according to the arrangement form of the time parameter i values, the magnetic field rising factor $Q$ i Alignment is performed, and after the alignment is completed, the magnetic field rising factors are equal to $Q$ i The time parameters of (2) are acquired, a time interval is generated, and the time interval and the magnetic field rising factor $Q$are further calculated i Binding, namely generating a binding data packet, and storing the binding data packet into a storage module;
s4, if a certain group of magnetic field rise factors $Q$ i The method comprises the steps of independently corresponding to a certain group of time points, obtaining the time points and the next time point as a group of time intervals, binding, generating a binding data packet, and storing the binding data packet in a storage module;
s5, repeating the steps S3 and S4, generating a plurality of groups of binding data packages, arranging the plurality of groups of binding data packages according to the time sequence, arranging the plurality of groups of binding data packages into a first binding data package, a second binding data package, … … and an nth binding data package, and storing the plurality of groups of binding data packages in a storage module.
Preferably, the specific mode of the supervision center for performing supervision processing on the data obtained by the storage module is as follows:
t1, setting magnetic field optimization parameters of power generation equipment and marking as ZY;
t2, extracting a binding data packet from a storage module, extracting a magnetic field rising factor $Q$i corresponding to a first group of time intervals, acquiring an initial value X1 and an end value X2 of the interval time, and obtaining interval values of the first group of time intervals by adopting JG1=X2-X1;
and T3, when the power generation equipment is detected in real time, the estimated magnetic field parameter is YG1= $Q$i multiplied by JG1+ZY, the magnetic field value YG1 of the first group time interval is obtained, the magnetic field value YG1 is compared with a preset value YS through a data comparison module, when YG1 is less than YS1, the next step is executed, when YG1 is more than or equal to YS1, the signal is transmitted to an alarm module, and the alarm module sends out a warning.
Advantageous effects
The application provides an energy management and control cloud platform. Compared with the prior art, the method has the following beneficial effects:
according to the application, the input magnetic field data are processed according to the magnetic field data acquired by the data acquisition module, the magnetic field rising factors corresponding to different times are obtained, the magnetic field rising factors are transmitted to the storage module, the magnetic field parameters of the power generation equipment are acquired, the magnetic field parameter values of the power generation equipment are not known according to the magnetic field parameters of the power generation equipment and the binding data packet in the storage module, the magnetic field parameters of the power generation equipment are estimated according to the magnetic field rising factors of the power generation equipment, the estimated magnetic field parameters are compared with the preset values, whether the power generation equipment is normal or not can be obtained through the comparison result, if the power generation equipment is in an abnormal state, the power generation power of the power generation equipment is reduced or the power generation equipment is closed, the normal operation of the power generation equipment is prevented from being influenced due to overlarge external magnetic field, and therefore the use cost of the power generation equipment is reduced.
Drawings
Fig. 1 is a schematic block diagram of a system of an energy management and control cloud platform according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the application provides an energy management and control cloud platform, which comprises a supervision center and a data acquisition module, wherein the supervision center comprises a data analysis module, a storage module, a data comparison module and an alarm module.
The data acquisition module is used for acquiring the intensity of a magnetic field, and the specific acquisition mode is as follows:
the intensity of the magnetic field is acquired through a magnetic field sensor, and common magnetic field sensors include a Hall effect sensor, a magneto-resistance sensor, a magnetic induction intensity sensor and the like;
in this embodiment, a hall effect sensor is used to collect the magnetic field strength of the power generation device, and it mainly uses the hall voltage formed by the semiconductor material under the action of the magnetic field to detect the magnetic field strength. The Hall effect sensor is connected to the data acquisition module, and a corresponding program is written to read the voltage signal output by the sensor, so that the acquisition of the magnetic field intensity is realized.
The process of the supervision center for carrying out specific treatment on the magnetic field is as follows:
s1, setting magnetic field parameters as optimal magnetic field parameters, and marking time of different acquired magnetic fields as CJ i， And the magnetic field intensity acquired corresponding to the time of different acquired magnetic fields is marked as CC i Where i represents different times of acquisition of the magnetic field, i=1, 2, … …, n, the interval period between each i being 5min;
s2, adoptObtaining the magnetic field rising factor $Q$ of the magnetic field acquired at different times i ；
S3, raising a plurality of magnetic fields by a factor $Q$ i Extracting, according to the arrangement form of the time parameter i values, the magnetic field rising factor $Q$ i Alignment is performed, and after the alignment is completed, the magnetic field rising factors are equal to $Q$ i The time parameters of (2) are acquired, a time interval is generated, and the time interval and the magnetic field rising factor $Q$are further calculated i Binding, namely generating a binding data packet, and storing the binding data packet into a storage module;
s4, if a certain group of magnetic field rise factors $Q$ i Individually correspond to a certainThe time point is set, the time point and the next time point are obtained to be a set of time intervals, binding is carried out, a binding data packet is generated, and the binding data packet is stored in a storage module;
s5, repeating the steps S3 and S4, generating a plurality of groups of binding data packages, arranging the plurality of groups of binding data packages according to the time sequence, arranging the plurality of groups of binding data packages into a first binding data package, a second binding data package, … … and an nth binding data package, and storing the plurality of groups of binding data packages in a storage module.
S6, setting magnetic field optimization parameters of the power generation equipment and marking the magnetic field optimization parameters as ZY;
s7, extracting the binding data packet from the storage module, and extracting a magnetic field rising factor $Q$corresponding to the first group of time intervals i And obtaining the initial value X1 and the end value X2 of the interval time by JG 1 Obtaining interval values of the first group of time intervals by using the method of the combination of the two groups of time intervals;
s8, the magnetic field parameter estimated when the power generation equipment is detected in real time is YG 1 ＝$Q$ i ×JG 1 +ZY, to obtain the magnetic field values YG of the first group time interval 1 And the magnetic field value YG 1 Comparing with a preset value YS through a data comparison module, (specifically, the preset value YS) 1 A group of early warning temperature values, the specific values are set by the outside personnel), when YG 1 ＜YS 1 When YG1 is more than or equal to YS1, the signal is transmitted to the alarm module, and the alarm module gives a warning, so that the reduction of the power generation power of the power generation equipment or the shutdown of the power generation equipment is negotiated, the normal operation of the power generation equipment due to the overlarge external magnetic field and the contrast of the contrast is avoided, and the use cost of the power generation equipment is reduced.
The working principle of the application is as follows: the magnetic field intensity of the power generation equipment is acquired according to the data acquisition module, the acquired data are subjected to data acquisition, and the magnetic field rising factors $Q$of the magnetic fields acquired at different times are obtained through the data analysis module i And the rising factor $Q$ i Storing the data into a storage module, then according to the magnetic field optimization parameters of the set power generation equipment and marking the data as ZY, comparing the data with the data of the binding data packet extracted from the storage module, and finally, carrying out comparison through a comparison moduleAnd finally judging whether the power generation equipment is abnormal according to the comparison result, if the power generation equipment is in an abnormal state, transmitting the signal to an alarm module, giving a warning through the alarm module, negotiating to reduce the power generation power of the power generation equipment or shut down the power generation equipment, and avoiding the normal operation of the power generation equipment due to the overlarge external magnetic field.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (4)
1. The energy management and control cloud platform is characterized by comprising a supervision center and a data acquisition module, wherein the supervision center comprises a data analysis module, a storage module, a data comparison module and an alarm module, the output end of the data acquisition module is electrically connected with the input end of the data analysis module, the output end of the data analysis module is electrically connected with the input end of the storage module, the output end of the storage module is in bidirectional connection with the input end of the data comparison module, and the output end of the storage module is electrically connected with the input end of the alarm module;
the data acquisition module is used for acquiring the intensity of the magnetic field;
the data analysis module is used for analyzing and processing the data acquired by the data acquisition module and identifying the data;
the storage module is used for storing and identifying the data obtained by the data analysis module;
the data comparison module is used for comparing the magnetic field acquired by the power generation equipment with a preset value and transmitting a comparison result to the alarm module;
the alarm module is used for carrying out alarm processing on the abnormal data so as to inform staff.
2. The energy management and control cloud platform of claim 1, wherein said data acquisition module comprises a magnetic field sensor, said magnetic field sensor being one of a hall effect sensor, a magnetoresistive sensor and a magnetic induction sensor.
3. The energy management and control cloud platform according to claim 1, wherein the manner in which the monitoring center processes the data collected by the collection module is:
s1, setting magnetic field parameters as optimal magnetic field parameters, and marking time of different acquired magnetic fields as CJ i， And the magnetic field intensity acquired corresponding to the time of different acquired magnetic fields is marked as CC i Where i represents different times of acquisition of the magnetic field, i=1, 2, … …, n, the interval period between each i being 5min;
s2, adoptObtaining the magnetic field rising factor $Q$ of the magnetic field acquired at different times i ；
S3, raising a plurality of magnetic fields by a factor $Q$ i Extracting, according to the arrangement form of the time parameter i values, the magnetic field rising factor $Q$ i Alignment is performed, and after the alignment is completed, the magnetic field rising factors are equal to $Q$ i The time parameters of (2) are acquired, a time interval is generated, and the time interval and the magnetic field rising factor $Q$are further calculated i Binding, namely generating a binding data packet, and storing the binding data packet into a storage module;
s4, if a certain group of magnetic field rise factors $Q$ i The method comprises the steps of independently corresponding to a certain group of time points, obtaining the time points and the next time point as a group of time intervals, binding, generating a binding data packet, and storing the binding data packet in a storage module;
s5, repeating the steps S3 and S4, generating a plurality of groups of binding data packages, arranging the plurality of groups of binding data packages according to the time sequence, arranging the plurality of groups of binding data packages into a first binding data package, a second binding data package, … … and an nth binding data package, and storing the plurality of groups of binding data packages in a storage module.
4. The energy management and control cloud platform according to claim 1, wherein the specific manner of the monitoring center performing the monitoring and control processing on the data obtained by the storage module is as follows:
t1, setting magnetic field optimization parameters of power generation equipment and marking as ZY;
t2, extracting a binding data packet from a storage module, extracting a magnetic field rising factor $Q$i corresponding to a first group of time intervals, acquiring an initial value X1 and an end value X2 of the interval time, and obtaining interval values of the first group of time intervals by adopting JG1=X2-X1;
and T3, when the power generation equipment is detected in real time, the estimated magnetic field parameter is YG1= $Q$i multiplied by JG1+ZY, the magnetic field value YG1 of the first group time interval is obtained, the magnetic field value YG1 is compared with a preset value YS through a data comparison module, when YG1 is less than YS1, the next step is executed, when YG1 is more than or equal to YS1, the signal is transmitted to an alarm module, and the alarm module sends out a warning.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202310687612.1A CN116743805A (en) | 2023-06-09 | 2023-06-09 | Energy management and control cloud platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310687612.1A CN116743805A (en) | 2023-06-09 | 2023-06-09 | Energy management and control cloud platform |
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| CN116743805A true CN116743805A (en) | 2023-09-12 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117548928A (en) * | 2024-01-12 | 2024-02-13 | 杭州峰景科技有限公司 | Chip scheduling method and device for welding machine internet of things equipment |
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- 2023-06-09 CN CN202310687612.1A patent/CN116743805A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117548928A (en) * | 2024-01-12 | 2024-02-13 | 杭州峰景科技有限公司 | Chip scheduling method and device for welding machine internet of things equipment |
| CN117548928B (en) * | 2024-01-12 | 2024-04-12 | 杭州峰景科技有限公司 | Chip scheduling method and device for welding machine internet of things equipment |
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