CN113379202A - Comprehensive energy intelligent management platform based on Internet of things - Google Patents
Comprehensive energy intelligent management platform based on Internet of things Download PDFInfo
- Publication number
- CN113379202A CN113379202A CN202110577580.0A CN202110577580A CN113379202A CN 113379202 A CN113379202 A CN 113379202A CN 202110577580 A CN202110577580 A CN 202110577580A CN 113379202 A CN113379202 A CN 113379202A
- Authority
- CN
- China
- Prior art keywords
- energy
- energy consumption
- data
- enterprise
- air temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005265 energy consumption Methods 0.000 claims abstract description 106
- 238000013500 data storage Methods 0.000 claims abstract description 14
- 238000007726 management method Methods 0.000 claims abstract description 10
- 238000012544 monitoring process Methods 0.000 claims description 13
- 230000002354 daily effect Effects 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 6
- 230000003203 everyday effect Effects 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000003247 decreasing effect Effects 0.000 claims description 2
- XKRFYHLGVUSROY-UHFFFAOYSA-N Argon Chemical compound [Ar] XKRFYHLGVUSROY-UHFFFAOYSA-N 0.000 description 4
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 2
- 229910052786 argon Inorganic materials 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003345 natural gas Substances 0.000 description 2
- 229910052757 nitrogen Inorganic materials 0.000 description 2
- 239000008399 tap water Substances 0.000 description 2
- 235000020679 tap water Nutrition 0.000 description 2
- 238000013480 data collection Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Medical Informatics (AREA)
- Water Supply & Treatment (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Educational Administration (AREA)
- Computer Networks & Wireless Communication (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an integrated energy intelligent management platform based on the Internet of things, which is characterized in that energy consumption data of energy consumption equipment of an energy consumption enterprise are uniformly stored in a data storage device, and the energy consumption data of the energy consumption equipment are analyzed and processed through a data processing device, so that when the energy consumption data of the energy consumption equipment is out of a normal range, measures are taken in time to ensure the energy consumption safety of the energy consumption equipment.
Description
Technical Field
The invention relates to an integrated energy intelligent management platform based on the Internet of things.
Background
At present, energy consumption data of each energy consumption device of an energy consumption enterprise are generally stored in each system in a scattered mode to form a data island, and data sharing and utilization are difficult to achieve, so that the energy consumption enterprise cannot know the energy consumption condition of the enterprise on the whole, and measures cannot be taken timely according to the abnormal energy consumption of the energy consumption device.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an intelligent comprehensive energy management platform based on the Internet of things, which can be used for centrally managing energy consumption data of each energy consumption device of an energy consumption enterprise and taking measures in time when the energy consumption of the energy consumption device is abnormal.
In order to solve the technical problems, the comprehensive energy intelligent management platform based on the internet of things comprises a data acquisition device, a data transmission device, a data storage device and a data processing device;
the data acquisition device is used for acquiring energy consumption data and real-time load data of each energy utilization device of the energy utilization enterprise;
the data transmission device is used for transmitting the energy consumption data of each energy consumption device of the energy consumption enterprise, which is acquired by the data acquisition device, to the data storage device;
the data storage device is used for respectively storing the received energy consumption data according to different energy utilization equipment;
the data processing apparatus includes:
the real-time monitoring module is used for monitoring the daily total energy consumption data of each energy consumption device of the energy consumption enterprise in real time and sending out early warning information when the daily total energy consumption data of a certain energy consumption device exceeds a first threshold value;
the report service module is used for acquiring energy consumption historical data of certain energy-using equipment of the energy-using enterprise from the data storage device according to the selection of the user and generating a report according to a preset model;
the decision analysis module is used for inquiring real-time load data of a certain energy-using device of the energy-using enterprise when the total energy consumption data of the certain energy-using device in the day exceeds a first threshold value, if the energy-using device is in a full-load working state currently, the early warning level is improved, and if the current working load of the energy-using device is less than 60% of the full load, equipment maintenance indication information is sent out; after the early warning level is increased, querying historical temperature information of an area where the energy-using enterprise is located to obtain a historical average air temperature value of the area where the energy-using enterprise is located, then comparing the current average air temperature value of the area where the energy-using enterprise is located with the historical average air temperature value of the area where the energy-using enterprise is located, if the difference value between the current average air temperature value and the historical average air temperature value is smaller than a second threshold value, cutting off energy supply of the energy-using equipment, and if the difference value between the current average air temperature value and the historical average air temperature value is larger than or equal to the second threshold value, increasing the early warning level again;
and the energy consumption reporting module is used for counting the total energy consumption of each energy consumption device of the energy consumption enterprise every day, counting the proportion of the total energy consumption of each energy source of the energy consumption enterprise every day, and generating a report according to a preset model.
Preferably, the data acquisition device comprises:
the data acquisition terminal is used for acquiring energy consumption data and real-time load data of each energy utilization device of the energy utilization enterprise;
the energy efficiency information centralizing and interacting terminal is used for receiving data of the data acquisition terminal and controlling the data acquisition terminal to work according to a preset first rule;
and the energy efficiency monitoring terminal is used for monitoring the daily total energy consumption data of each device of the enterprise user and controlling the data acquisition terminal to work according to a preset second rule when the daily total energy consumption data of each device exceeds a third threshold value.
Preferably, the first threshold and the third threshold corresponding to each energy-consuming device are gradually decreased according to the increase of the number of days of use of the energy-consuming device, and the first threshold and the third threshold corresponding to the energy-consuming device are kept unchanged after the number of days of use of the energy-consuming device reaches a preset value.
After adopting the structure, compared with the prior art, the invention has the following advantages:
according to the comprehensive energy intelligent management platform based on the Internet of things, the energy consumption data of each energy consumption device of an energy consumption enterprise are uniformly stored in the data storage device, and the energy consumption data of each energy consumption device are analyzed and processed through the data processing device, so that when the energy consumption data of the energy consumption device is out of a normal range, measures are taken in time to guarantee the energy consumption safety of the energy consumption device.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of the structure of the data acquisition device;
fig. 3 is a schematic configuration diagram of the data processing apparatus.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1 to 3, the comprehensive energy intelligent management platform based on the internet of things of the present invention includes a data acquisition device 10, a data transmission device 20, a data storage device 30, and a data processing device 40.
The data acquisition device 10 is used for acquiring energy consumption data and real-time load data of each energy consumption device of an energy consumption enterprise, wherein the energy consumption devices comprise an electric device, a tap water device, a natural gas device, a nitrogen device and an argon device.
The data transmission device 20 is used for transmitting the energy consumption data of each energy consumption device of the energy consumption enterprise collected by the data collection device to the data storage device.
The data storage device 30 is used for storing the received energy consumption data according to different energy-consuming devices.
The data processing device 40 includes a real-time monitoring module 41, a report service module 42, a decision analysis module 43, and an energy use reporting module 44.
The real-time monitoring module 41 is configured to monitor daily total energy consumption data of each energy consumption device of the energy consumption enterprise in real time, and send out warning information when the daily total energy consumption data of a certain energy consumption device exceeds a first threshold, so that a user can be timely prompted that the energy consumption of the energy consumption device exceeds a standard, and the user can timely investigate the operation condition of the energy consumption device.
The report service module 42 is configured to obtain, from the data storage device, energy consumption historical data of a certain energy-consuming device of an energy-consuming enterprise according to a selection of a user, where the energy consumption historical data may be energy consumption data in a past certain time, and generate a report according to a preset model, so that the generated report may have data display modules such as a table, a graph, a pie chart, and the like according to different preset models.
The decision analysis module 43 is configured to, when total energy consumption data of a certain energy-using device of the energy-using enterprise in the day exceeds a first threshold, query real-time load data of the energy-using device, if the energy-using device is currently in a full-load working state, raise an early warning level of early warning information for the energy-using device to prompt a user that the energy-using device is currently in the full-load working state, and if the energy consumption data of the energy-using device is raised again, the energy-using device may enter an overload state and be easily damaged; if the current working load of the energy utilization equipment is less than 60% of the full load of the energy utilization equipment, equipment maintenance indication information is sent, so that the first threshold value is generally a value which can be reached when the total energy consumption of the energy utilization equipment on the same day is higher, and if the working load of the energy utilization equipment is smaller and reaches the first threshold value, the energy utilization equipment is indicated to be possibly failed, and the energy utilization equipment can be maintained in time; and if the current work load of the energy utilization equipment is more than or equal to 60% of the full load and less than the full load, not performing the action.
After the early warning level is improved, historical temperature information of an area where the energy-using enterprise is located is inquired, a historical average air temperature value of the area where the energy-using enterprise is located is obtained, then the current average air temperature value of the area where the energy-using enterprise is located is compared with the historical average air temperature value of the area where the energy-using enterprise is located, if the difference value between the current average air temperature value and the historical average air temperature value is smaller than a second threshold value, and the second threshold value is preset, the energy supply of the energy-using equipment is cut off, so that the danger caused by continuous work when the energy-using equipment is in fault is avoided; if the difference value between the average air temperature value of the current day and the historical average air temperature value is larger than or equal to the second threshold value, the early warning level is increased again, and therefore the safety of the energy utilization equipment in the weather with extreme air temperature can be guaranteed.
The energy consumption reporting module 44 is used for counting the total energy consumption of each energy consumption device of the energy consumption enterprise every day, and counting the proportion of the total energy consumption of each energy source of the energy consumption enterprise every day, wherein each energy source comprises an electric energy source, a natural gas energy source, a tap water energy source, a nitrogen energy source and an argon energy source, and generating a report according to a preset model.
The data acquisition device 10 comprises a data acquisition terminal 11, an energy efficiency information centralizing and interacting terminal 12 and an energy efficiency monitoring terminal 13.
The data acquisition terminal 11 is used for acquiring energy consumption data and real-time load data of each energy consumption device of the energy consumption enterprise.
The energy efficiency information centralizing and interacting terminal 12 is configured to receive data of the data acquisition terminal, and control the data acquisition terminal to operate according to a preset first rule, where the first rule may be used to control data acquisition frequency, operation time period, and the like of the data acquisition terminal.
The energy efficiency monitoring terminal 13 is used for monitoring the daily total energy consumption data of each device of the enterprise user, and controls the data acquisition terminal to work according to a preset second rule when the daily total energy consumption data of each device exceeds a third threshold value, so that the data acquisition terminal is controlled to work according to the second rule, the data acquisition frequency, the working time period and the like of the data acquisition terminal can be correspondingly adjusted, the data acquisition terminal can work more efficiently, and the energy consumption data of the energy utilization device can be monitored more accurately.
The first threshold and the third threshold corresponding to each energy-using device are gradually reduced according to the increase of the number of days of use of the energy-using device, and the first threshold and the third threshold corresponding to the energy-using device are kept unchanged after the number of days of use of the energy-using device reaches a preset value, so that after basic values of the first threshold and the third threshold are set, the first threshold and the third threshold are adjusted in real time along with the number of days of use of the energy-using device, and the values of the first threshold and the third threshold are in accordance with the actual situation of the energy-using device.
The above description is only about the preferred embodiment of the present invention, but it should not be understood as limiting the claims, and the present invention may be modified in other structures, not limited to the above structures. In general, all changes which come within the scope of the invention as defined by the independent claims are intended to be embraced therein.
Claims (3)
1. An integrated energy intelligent management platform based on the Internet of things is characterized by comprising a data acquisition device, a data transmission device, a data storage device and a data processing device;
the data acquisition device is used for acquiring energy consumption data and real-time load data of each energy utilization device of the energy utilization enterprise;
the data transmission device is used for transmitting the energy consumption data of each energy consumption device of the energy consumption enterprise, which is acquired by the data acquisition device, to the data storage device;
the data storage device is used for respectively storing the received energy consumption data according to different energy utilization equipment;
the data processing apparatus includes:
the real-time monitoring module is used for monitoring the daily total energy consumption data of each energy consumption device of the energy consumption enterprise in real time and sending out early warning information when the daily total energy consumption data of a certain energy consumption device exceeds a first threshold value;
the report service module is used for acquiring energy consumption historical data of certain energy-using equipment of the energy-using enterprise from the data storage device according to the selection of the user and generating a report according to a preset model;
the decision analysis module is used for inquiring real-time load data of a certain energy-using device of the energy-using enterprise when the total energy consumption data of the certain energy-using device in the day exceeds a first threshold value, if the energy-using device is in a full-load working state currently, the early warning level is improved, and if the current working load of the energy-using device is less than 60% of the full load, equipment maintenance indication information is sent out; after the early warning level is increased, querying historical temperature information of an area where the energy-using enterprise is located to obtain a historical average air temperature value of the area where the energy-using enterprise is located, then comparing the current average air temperature value of the area where the energy-using enterprise is located with the historical average air temperature value of the area where the energy-using enterprise is located, if the difference value between the current average air temperature value and the historical average air temperature value is smaller than a second threshold value, cutting off energy supply of the energy-using equipment, and if the difference value between the current average air temperature value and the historical average air temperature value is larger than or equal to the second threshold value, increasing the early warning level again;
and the energy consumption reporting module is used for counting the total energy consumption of each energy consumption device of the energy consumption enterprise every day, counting the proportion of the total energy consumption of each energy source of the energy consumption enterprise every day, and generating a report according to a preset model.
2. The internet of things-based integrated energy intelligent management platform according to claim 1, wherein the data acquisition device comprises:
the data acquisition terminal is used for acquiring energy consumption data and real-time load data of each energy utilization device of the energy utilization enterprise;
the energy efficiency information centralizing and interacting terminal is used for receiving data of the data acquisition terminal and controlling the data acquisition terminal to work according to a preset first rule;
and the energy efficiency monitoring terminal is used for monitoring the daily total energy consumption data of each device of the enterprise user and controlling the data acquisition terminal to work according to a preset second rule when the daily total energy consumption data of each device exceeds a third threshold value.
3. The integrated energy intelligent management platform based on the internet of things of claim 2, wherein the first threshold and the third threshold corresponding to each energy-using device are gradually decreased according to the increase of the number of days of use of the energy-using device, and the first threshold and the third threshold corresponding to the energy-using device are maintained after the number of days of use of the energy-using device reaches a preset value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110577580.0A CN113379202A (en) | 2021-05-26 | 2021-05-26 | Comprehensive energy intelligent management platform based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110577580.0A CN113379202A (en) | 2021-05-26 | 2021-05-26 | Comprehensive energy intelligent management platform based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113379202A true CN113379202A (en) | 2021-09-10 |
Family
ID=77572013
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110577580.0A Pending CN113379202A (en) | 2021-05-26 | 2021-05-26 | Comprehensive energy intelligent management platform based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113379202A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108614507A (en) * | 2018-04-25 | 2018-10-02 | 华翔翔能电气股份有限公司 | Intelligent energy management method and intelligent terminal |
| CN110134094A (en) * | 2019-06-07 | 2019-08-16 | 广州远正智能科技股份有限公司 | A kind of industrial enterprise's energy consumption management system for monitoring |
| CN111638692A (en) * | 2020-06-01 | 2020-09-08 | 南方电网数字电网研究院有限公司 | Intelligent park management system |
| CN111882167A (en) * | 2020-07-01 | 2020-11-03 | 安徽继远软件有限公司 | Intelligent energy diversified operation management system |
| CN112180780A (en) * | 2020-09-09 | 2021-01-05 | 四川九门科技股份有限公司 | Intelligent energy consumption monitoring and management system and method |
-
2021
- 2021-05-26 CN CN202110577580.0A patent/CN113379202A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108614507A (en) * | 2018-04-25 | 2018-10-02 | 华翔翔能电气股份有限公司 | Intelligent energy management method and intelligent terminal |
| CN110134094A (en) * | 2019-06-07 | 2019-08-16 | 广州远正智能科技股份有限公司 | A kind of industrial enterprise's energy consumption management system for monitoring |
| CN111638692A (en) * | 2020-06-01 | 2020-09-08 | 南方电网数字电网研究院有限公司 | Intelligent park management system |
| CN111882167A (en) * | 2020-07-01 | 2020-11-03 | 安徽继远软件有限公司 | Intelligent energy diversified operation management system |
| CN112180780A (en) * | 2020-09-09 | 2021-01-05 | 四川九门科技股份有限公司 | Intelligent energy consumption monitoring and management system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102231521B (en) | Power grid operation state identification method in distribution network self-healing control | |
| CN109167437A (en) | A kind of method and system based on power distribution cabinet intelligent power distribution management | |
| CN114048999A (en) | Household energy management system | |
| CN113660335A (en) | Equipment fine management method and system based on Internet of things | |
| CN104483633A (en) | Lead-acid storage battery monitoring system | |
| CN116027678A (en) | Intelligent household intelligent regulation control method and system | |
| CN115169805A (en) | Energy consumption monitoring method and device | |
| CN110855001A (en) | Distribution automation and power grid optimization management operation system | |
| CN117764559A (en) | Electrical cabinet operation and maintenance overhaul supervision and early warning system based on data analysis | |
| CN111509786A (en) | Parallel operation and parallel operation control system of diesel generating set | |
| CN113379202A (en) | Comprehensive energy intelligent management platform based on Internet of things | |
| CN117261660A (en) | Charging pile power control method and system based on load monitoring analysis | |
| CN113177669A (en) | Comprehensive energy intelligent management method based on Internet of things | |
| CN116633002A (en) | UV variable frequency power supply parallel operation control system based on artificial intelligence | |
| CN116488351A (en) | Low-voltage distribution box remote monitoring method and system based on Internet of things | |
| CN116345687A (en) | User behavior safety early warning system of power monitoring system | |
| CN114186876B (en) | Intelligent electricity safety supervision and electric energy management method and system | |
| CN113485279B (en) | Factory equipment start-stop energy-saving management system based on full-view artificial intelligence | |
| CN111273075B (en) | Distribution network automatic current setting alarm method | |
| CN114662566A (en) | Power dispatching system fault detection equipment and detection method based on big data | |
| CN114578124A (en) | Operation warning method and device for power system | |
| CN107958575A (en) | A kind of power plant's operating parameter real-time alarm system | |
| CN110751814A (en) | Electrical fire monitoring system for rail transit and early warning analysis method thereof | |
| CN218216805U (en) | Intelligent monitoring system for electrical operation state of equipment | |
| CN113077061B (en) | Equipment predictive maintenance system based on production data mining |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |