CN105956745A - Remote monitoring system based on IOT structure - Google Patents
Remote monitoring system based on IOT structure Download PDFInfo
- Publication number
- CN105956745A CN105956745A CN201610252165.7A CN201610252165A CN105956745A CN 105956745 A CN105956745 A CN 105956745A CN 201610252165 A CN201610252165 A CN 201610252165A CN 105956745 A CN105956745 A CN 105956745A
- Authority
- CN
- China
- Prior art keywords
- oil
- data
- gas station
- data acquisition
- system based
- 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
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
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
Abstract
The invention relates to the field of Internet of Things (IOT) and especially to a remote monitoring system based on IOT structure. The remote monitoring system based on IOT structure is used for monitoring the oil quantity of gas stations in multiple areas and comprises multiple remote monitoring modules according to the areas. Each remote monitoring module comprises a plurality of oil baths for storing oil; a plurality of data acquisition devices each of which is arranged in the corresponding oil bath and is used for acquiring the monitoring data of the corresponding oil bath within prescribed time; a data collection center in a gas station and connected with the plurality of data acquisition devices and used for receiving and collecting the monitoring data sent from each data acquisition device in the area. The remote monitoring system further comprises a gas station management center connected with the data collection centers in the areas and used for receiving, analyzing and processing the monitoring data collected in each data collection center and outputting an analyzed and processed result.
Description
Technical field
The present invention relates to Internet of Things field, particularly relate to a kind of gas station data acquisition equipment.
Background technology
Along with improving constantly and the fast development of automobile industry of people's income, automobile is
It is increasingly entering average family, becomes the walking-replacing tool that people commonly use.Therefore automobile
Utilization rate more and more higher, accordingly, oil consumption the most increasing.But for difference
For the home vehicle of type, because the compression ratio of electromotor is different in car, car is caused to use
Oil kind is the most different, and every kilometer of oil mass consumed is the most different.So for gas station, as
What utilizes every kind of oily consumption to become gas station to the deposit balancing all kinds oil and needs solution badly
Problem certainly.
In current gas station, the oil reserve in oil conservation tank is typically all without being canful.
Oil reserve is typically all the 80% of conservation tank total capacity, when in conservation tank, oil reserve is consumed to storage
Standby tank total capacity 20% time, gas station is accomplished by and general headquarters' contact, and general headquarters assign oil truck
To add oil to gas station.In current this oiling mode, we are considered as following asking
Topic:
The consumption of 1, different time period oil masses is different, causes the storage level of gas station's needs oil
Also different, such as in four seasons of 1 year, because different gas station's fuel consumptions in season
Difference, the storage level making gas station's oil is the most different in these four seasons；
2, within a specific time period, different gas stations due to the difference in geographical position,
The consumption of oil is also different.Such as some gas station is positioned at busiest section, urban district, accordingly
The consumption of oil just compares many.Some gas station is positioned at remote area, the consumption of corresponding oil
Measure the most fewer.Therefore, within a specific time period, the oily storage level of different gas stations is also
Different；
3, within a specific time period, for gas station, the storage of dissimilar oil
Standby amount is also different.Therefore for certain specific gas station, if periphery is with certain oil
People is more, then within this specific time period, and the storage level of this oil is the most more.Periphery
If the people with another kind of oil is less, then within this specific time period, another kind of oil
Storage level is the most less.For in the specific time period, the same type of different gas stations is oily
For, the storage level of oil is the most different；
4, according to above 3, how to determine whether to increase in oil truck makes a region
Between different gas stations, the distribution of oil is the most reasonable？In a region, such as there are 100 oilings
Stand, how to judge to need a how many oil truck to carry out reasonable distribution oil, so that this area's difference adds
The utilization rate of the dissimilar oil of petrol station maximizes；
5, for a specific gas station, according to the service conditions of its different oil, as
What determines to increase or reduce the number of oil tank？
The answer of these problems is a result produced based on mass data long-time statistical, produce
These results raw need each gas station that all data collected are located on the server
Reason, thus obtain these answers.
Summary of the invention
For the problem of above-mentioned existence, the invention discloses a kind of gas station data collecting system,
Its concrete technical scheme is:
A kind of long distance control system based on internet of things structure, is applied to monitor adding of multiple region
Petrol station oil mass, described long distance control system is divided into multiple remote monitoring module according to region, often
Individual described remote monitoring module all includes:
If dry sump, in order to deposit oil plant；
Some data acquisition equipments, are respectively provided with data acquisition described in each described oil groove and set
Standby, in order to gather the monitoring data of each described oil groove within the setting time；
Data summarization center, is arranged in a gas station, sets with described some data acquisitions respectively
Standby connection, the described prison sent with each described data acquisition equipment in receiving and collecting this region
Control data；And
Described long distance control system also includes:
Gasoline station management center, is connected with the described data summarization center of regional respectively, with
Receive and analyze and process the described monitoring data that each described data summarization center is collected, output point
Analysis result.
Preferably, described remote monitoring module includes:
Routing module, is connected with described data acquisition equipment and described data summarization center respectively,
Described monitoring data are sent to the remittance of described data by described data acquisition equipment by routing module
Head center.
Preferably, if the data acquisition that described routing module is an oil groove in described dry sump
Equipment.
Preferably, described supervision packet includes trapped fuel type and/or the trapped fuel of each described oil groove
Amount and/or oil consumption.
Preferably, described supervision packet include each described oil groove of each season trapped fuel type and
/ or trapped fuel amount and/or oil consumption.
Technique scheme has the advantage that or beneficial effect:
A kind of internet of things data acquisition equipment of the application design is applied and in gas station is
System.According to the present invention design have in data acquisition equipment one jumbo embedded non-volatile
Property memorizer be used for storing substantial amounts of data, this data acquisition equipment can with self analysis go out refuel
In standing all kinds oil service condition and reserve status, then according to analyze result judge
The need of sending oil truck to refuel, and judge coming by oily condition for each gas station
Decide whether to increase the storage level of each type of oil.
Accompanying drawing explanation
The detailed description with reference to the following drawings, non-limiting example made by reading, this
Bright and feature, profile and advantage will become more apparent.Mark identical in whole accompanying drawings
The part that note instruction is identical.Can not be drawn to scale accompanying drawing, it is preferred that emphasis is this is shown
Bright purport.
Tu1Shi the application gas station distribution schematic diagram；
Fig. 2 is the consumption schematic diagram of all types of oil in certain gas station；
Fig. 3 is system structure schematic diagram in the embodiment of the present application；
Fig. 4 is the consumption of the three all types of oil in Ge Yueneige gas station in the embodiment of the present application；
Fig. 5 is the consumption of all types of oil in Zhong Ge in spring gas station；
Fig. 6 is the consumption of all types of oil in Zhong Ge in summer gas station；
Fig. 7 is the consumption of all types of oil in Zhong Ge in autumn gas station；
Fig. 8 is the consumption of all types of oil in Zhong Ge in winter gas station.
Detailed description of the invention
The present invention is further illustrated with specific embodiment below in conjunction with the accompanying drawings, but not
Restriction as the present invention.
The present invention proposes a kind of internet of things data acquisition equipment and applies the method in gas station.
As depicted in figs. 1 and 2, in P ground, include L0, L1 to Ln-1, n gas station,
Each gas station have G1, G2, Gm, m kind oil.It it is each adding according to the present invention
Each oil groove of petrol station adds a large capacity data acquisition equipment, this equipment does not only have one
Individual jumbo embedded non-volatile memory, and it has a following function:
1, this data acquisition equipment the most at least records in a special time period T, somewhere
In n the gas station of interior L0 to Ln-1 all kinds oil use and reservoir data.Such as table
Shown in lattice 1, represent in this form is in P ground, the n of all of gas station L0 to Ln-1
In individual gas station, all kinds oil G1 to Gm consumption in special time period T；
Form 1
2, this data acquisition equipment is according to the data of all kinds oil of record in it, first will be every
Data summarization in individual oil groove sets to the data acquisition of one of them oil groove GL (1≤L≤m)
In Bei, then it is uploaded to add by collecting the data obtained afterwards by the data acquisition equipment on GL
The data summarization center of petrol station is further analyzed；Or directly by the data in each oil groove
Unite in the data summarization center that the data each added up are uploaded in gas station by collecting device
One collect and analyze.As in figure 2 it is shown, it is all types of in time period T to the figure shows gas station
The consumption of oil；
3, the data acquisition equipment of oil groove GL or gas station's data summarization center analysis T time
The data of interior all kinds oil obtain as a result, it is possible to whether self judgment goes out to be increased or decreased adds
The storage level of some type of oil in petrol station；Or the need of sending or reducing in this time period
Certain type of oil is added by oil truck；Or data are submitted to more higher leveled data management
All gas stations, P ground (are responsible for, such as gasoline station management center) in center, by the gas station on P ground
The data summarization of comprehensive all gas stations of administrative center judges whether the somewhere needed wherein
Increase newly or reduce gas station；
Data summarization in the data acquisition equipment of the oil groove GL in this gas station or gas station
Each of large capacity data acquisition equipment that center summarizes in gas station in all oil grooves storage
The use data of type of oil, as shown in Table 1.Thereafter in the data after gas station will collect
Pass to gasoline station management center, gasoline station management center process these data.Then basis
The result processed draws going out with at least decision-making of oily condition of each gas station
1) in the different times or/and send oil truck to strengthen the need of sending or subtracting in the time period
Or reduce the dispensing of oil；
2) judge according to data each gas station all types of oil deposit the need of increase or
Reduce；
3) according to the Distance Judgment between data and each gas station the need of newly-increased or minimizing
The number of gas station；
Can be carried out long-range or interior between different areas by gasoline station management center, various places
Network data exchanges.
The present invention for convenience of description, now gives an actual example as follows.In region, P ground, three are had to add
Petrol station L1, L2, L3, have diesel oil, 92# gasoline, 95# gasoline three in each gas station
The oil of type, as shown in Figure 3: according to the method for the present invention, every in each gas station
Add a large capacity data acquisition equipment in individual oil groove, it is assumed that big in diesel oil oil groove in L1
Capacity data collecting device is at the data summarization of L1 gas station；92# gasoline oil groove in L2
In the data summarization that large capacity data acquisition equipment is L2 gas station at；In L3 gas station
At the data summarization that large capacity data acquisition equipment is L3 gas station in 95# gasoline oil groove；
That is, three kinds of oil consumption data in L1 pass to the large capacity data acquisition equipment in diesel oil oil groove
In do unified statistics, and result is committed to the data summarization center of gas station L1, this number
Can be further analyzed according to accumulation hub；Three kinds of oil consumption data in L2 pass to 92# gasoline
Large capacity data acquisition equipment in oil groove does unified statistics, and is committed to result refuel
Standing the data summarization center of L2, this data summarization center can be further analyzed；In L3 three
Kind oil consumption data are passed in the large capacity data acquisition equipment in 95# gasoline oil groove and are done unification
Statistics, and result is committed to the data summarization center of gas station L3, in this data summarization
The heart can be further analyzed.
Example 1: the Large Volume Data in each oil groove three middle of the month, in each gas station
Collecting device have recorded each oil groove every kind of oily consumption feelings within the these three moon in gas station
Shown in the following form of condition 2:
Form 2 (data unit in form is: ton)
Data unification after three gas stations will collect is uploaded in the gasoline station management on P ground
The heart, then gasoline station management center obtains post as shown in Figure 4 according to the statistical result uploaded
Shape figure, all types of inside each oil groove in 3 gas stations in this block diagram showing three months
The consumption of oil.Wherein, in L1 gas station large capacity data acquisition equipment through self analysis
After, find that the diesel consumption in L1 gas station is the biggest.So diesel oil oil groove in L1 gas station
In large capacity data acquisition equipment self judgment go out need increase L1 gas station diesel storage
Amount, and the request data increasing diesel storage is sent to gasoline station management center, by gas station
Administrative center determines to send oil truck to gas station L1 dispensing diesel oil for demand.P refuels on ground
The L3 distance gas station L1 and gas station L2 that stands is the most far, and gasoline station management center is according to knot
It is the highest, so needing to send oil that fruit finds to consume 92# gasoline the resident of gas station's L3 periphery
Gas station L3 is strengthened the dispensing of 92# gasoline by tank car, or in this area of gas station L3
A newly-increased gas station is for occupying Domestic oil.
According to practical situation, may three middle of the month selecting of above-mentioned example because the difference of temperature,
And cause the decision-making at gasoline station management center in the time period below to occur relatively with practical situation
Big difference.So needing a longer time period to carry out particular situation analysis.
Example 2: 3 gas stations as above Various Seasonal in a year, these 3 oilings
The all kinds oil condition of the large capacity data acquisition equipment record stood in each oil groove is such as
Shown in lower form 3:
Form 3 (data unit in form is: ton)
If gasoline station management being thought according to the making of dissimilar oil in this Nian Ge gas station
By situation, determine the deposit of each gas station's oil of Second Year, then each in 3 gas stations
Large capacity data acquisition equipment in oil groove is according to the use of each season record all kinds oil
The result of situation self analysis is as follows:
Tu5Shi gas station in spring L1, the large capacity data acquisition equipment of each oil groove in L2, L3
The bar diagram obtained after the data summarization collected.Gasoline station management center is according to the number obtained
Understanding according to analysis result, during spring, the diesel-fuel consumption in gas station L1 is the highest, and this adds
The consumption of the 95# gasoline in petrol station lacking extremely, all types of oil consumptions of L2 and L3
The most steady.So gasoline station management center needs to strengthen gas station L1 the dispensing of diesel oil,
Can consider to increase in the spring in the coming year deposit of diesel oil and in whole spring gas station
The 95# gasoline of L1 may all need not with the addition of, vacate oil truck be ready at all times to L2 or/
Oil mass dispensing is carried out with L3.
Tu6Shi gas station in summer L1, the large capacity data acquisition equipment of each oil groove in L2, L3
The bar diagram obtained after the data summarization collected.Gasoline station management center is according to the number obtained
Understanding according to analysis result, during summer, all types of oil consumption of three gas stations are the highest, so adding
Petrol station administrative center needs to send oil truck that these three gas station is carried out the dispensing of all types of oil,
And can consider in the summer in the coming year, increase the deposit of all types of oil or increase one newly
Gas station is in case oil truck has little time the problem that dispensing is oily.
Tu7Shi gas station in autumn L1, the large capacity data acquisition equipment of each oil groove in L2, L3
The bar diagram obtained after the data summarization collected.Gasoline station management center is according to the number obtained
Understanding according to analysis result, during autumn, all types of oil consumption in each gas station is the most steady, so can
To reduce sending of oil truck, in the autumn in the coming year, gasoline station management center can consider individual
The deposit of type oil mass is all filled.
Fig. 8 is L1 in winter, the large capacity data acquisition equipment self analysis in L2, L3 each
From the data of gas station, from the result analyzed, the 92# vapour in gas station L3 during winter
Oil surplus is less than 20%, and the surplus of the 95# gasoline in gas station L1 is far above 20%,
And in L1,95# gasoline surplus is also most in 3 gas stations.So gas station's pipe
Reason center can consider to strengthen the dispensing of 92# gasoline in gas station L3 in the winter of Second Year,
Suitably reduce the deposit of 95# gasoline in gas station L1.
Tu8Shi gas station in winter L1, the large capacity data acquisition equipment of each oil groove in L2, L3
The bar diagram obtained after the data summarization collected.Gasoline station management center is according to the number obtained
Understanding according to analysis result, during winter, diesel oil and the 92# gasoline consumption of gas station L1 are bigger,
The consumption of 95# gasoline is the fewest；The 92# gasoline consumption of gas station L2 is higher, diesel oil and
95# gasoline consumption is the most steady；The all types of oil consumptions of gas station L3 are the highest.So
Gasoline station management center need add send oil truck L1, L2 are carried out 92# gasoline dispensing and
Oil all types of to L3 are provided and delivered.Gasoline station management center can consider in the winter in the coming year
Increase the deposit of the 92# gasoline of L1, L2 and increase the deposit of all types of oil of L3, or
Increase a gas station in the area residing for L3 gas station newly, reduce the charge oil pressure of L3.
Can be carried out long-range or interior between different areas by gasoline station management center, various places
Network data exchanges.
In sum, the one of the application design is applied internet of things data acquisition equipment and is being refueled
The system stood.According to the present invention design have in data acquisition equipment one jumbo embedded
Nonvolatile memory is used for storing substantial amounts of data, and this data acquisition equipment can be with self analysis
Go out service condition and the reserve status of all kinds oil in gas station, then according to the result analyzed
Judge the need of sending oil truck to refuel, and judge for using of each gas station oily
Situation decides whether to increase the storage level of each type of oil.
Above presently preferred embodiments of the present invention is described.It is to be appreciated that the present invention
Being not limited to above-mentioned particular implementation, the equipment and the structure that do not describe in detail the most to the greatest extent should
It is interpreted as being practiced with the common mode in this area；Any it is familiar with those skilled in the art
Member, without departing under technical solution of the present invention ambit, the method that all may utilize the disclosure above
With technology contents, technical solution of the present invention made many possible variations and modification, or be revised as
The Equivalent embodiments of equivalent variations, this has no effect on the flesh and blood of the present invention.Therefore, every
Without departing from the content of technical solution of the present invention, the technical spirit of the foundation present invention is to above example
Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention and protects
In the range of protecting.
Claims (5)
1. a long distance control system based on internet of things structure, is applied to monitor multiple region
Gas station's oil mass, it is characterised in that described long distance control system is divided into multiple according to region
Remote monitoring module, each described remote monitoring module all includes:
If dry sump, in order to deposit oil plant；
Some data acquisition equipments, are respectively provided with data acquisition described in each described oil groove and set
Standby, in order to gather the monitoring data of each described oil groove within the setting time；
Data summarization center, is arranged in a gas station, sets with described some data acquisitions respectively
Standby connection, the described prison sent with each described data acquisition equipment in receiving and collecting this region
Control data；And
Described long distance control system also includes:
Gasoline station management center, is connected with the described data summarization center of regional respectively, with
Receive and analyze and process the described monitoring data that each described data summarization center is collected, output point
Analysis result.
Long distance control system based on internet of things structure the most according to claim 1, its
Being characterised by, described remote monitoring module includes:
Routing module, is connected with described data acquisition equipment and described data summarization center respectively,
Described monitoring data are sent to the remittance of described data by described data acquisition equipment by routing module
Head center.
Long distance control system based on internet of things structure the most according to claim 2, its
It is characterised by, if the data acquisition that described routing module is an oil groove in described dry sump sets
Standby.
Long distance control system based on internet of things structure the most according to claim 1, its
Being characterised by, described supervision packet includes trapped fuel type and/or the trapped fuel amount of each described oil groove
And/or oil consumption.
Long distance control system based on internet of things structure the most according to claim 1, its
Be characterised by, described supervision packet include each described oil groove of each season trapped fuel type and/
Or trapped fuel amount and/or oil consumption.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610252165.7A CN105956745A (en) | 2016-04-21 | 2016-04-21 | Remote monitoring system based on IOT structure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610252165.7A CN105956745A (en) | 2016-04-21 | 2016-04-21 | Remote monitoring system based on IOT structure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105956745A true CN105956745A (en) | 2016-09-21 |
Family
ID=56915037
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610252165.7A Pending CN105956745A (en) | 2016-04-21 | 2016-04-21 | Remote monitoring system based on IOT structure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105956745A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108961121A (en) * | 2018-07-20 | 2018-12-07 | 冯晋 | A kind of education administration system for selecting tutor for postgraduate |
| CN109801020A (en) * | 2019-02-01 | 2019-05-24 | 中国石化销售有限公司浙江衢州石油分公司 | A kind of oil depot data summarization is analysis shows that method |
| CN113526446A (en) * | 2020-04-13 | 2021-10-22 | 安徽德明石油化工设备有限公司 | Internet of things oil gas recovery online monitoring system equipment |
| CN116069299A (en) * | 2023-03-07 | 2023-05-05 | 广州智算信息技术有限公司 | API-based Internet of things big data front end management method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1997873A (en) * | 2004-04-03 | 2007-07-11 | 理查德·L·汉弗里 | Improved system for delivering propane or other consumable liquid to remotely located storage tanks |
| CN101076490A (en) * | 2004-12-08 | 2007-11-21 | Ultra电子设备制造有限公司 | Method, system and components for operaitng feul distribution system with unmanned self-service gasoline station |
| CN101200274A (en) * | 2006-12-14 | 2008-06-18 | 范阳 | Gas station control system |
| CN104915749A (en) * | 2015-04-08 | 2015-09-16 | 浪潮通信信息系统有限公司 | Site oil control management method and apparatus |
-
2016
- 2016-04-21 CN CN201610252165.7A patent/CN105956745A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1997873A (en) * | 2004-04-03 | 2007-07-11 | 理查德·L·汉弗里 | Improved system for delivering propane or other consumable liquid to remotely located storage tanks |
| CN101076490A (en) * | 2004-12-08 | 2007-11-21 | Ultra电子设备制造有限公司 | Method, system and components for operaitng feul distribution system with unmanned self-service gasoline station |
| CN101200274A (en) * | 2006-12-14 | 2008-06-18 | 范阳 | Gas station control system |
| CN104915749A (en) * | 2015-04-08 | 2015-09-16 | 浪潮通信信息系统有限公司 | Site oil control management method and apparatus |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108961121A (en) * | 2018-07-20 | 2018-12-07 | 冯晋 | A kind of education administration system for selecting tutor for postgraduate |
| WO2020015032A1 (en) * | 2018-07-20 | 2020-01-23 | 冯晋 | Educational administration system used for graduate students to select mentors |
| CN109801020A (en) * | 2019-02-01 | 2019-05-24 | 中国石化销售有限公司浙江衢州石油分公司 | A kind of oil depot data summarization is analysis shows that method |
| CN113526446A (en) * | 2020-04-13 | 2021-10-22 | 安徽德明石油化工设备有限公司 | Internet of things oil gas recovery online monitoring system equipment |
| CN116069299A (en) * | 2023-03-07 | 2023-05-05 | 广州智算信息技术有限公司 | API-based Internet of things big data front end management method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105956745A (en) | Remote monitoring system based on IOT structure | |
| CN106326992A (en) | APP car rental reserving system and method based on electric quantity matching | |
| CN103177395B (en) | A kind of intelligent distribution network energy-saving and emission-reduction integrated evaluating method based on social expectation | |
| CN108898830B (en) | Parking space balancing method for calculating space-time sharing matching degree of combined parking lot | |
| CN102855293B (en) | Mass data processing method of electric vehicle and charging/battery swap facility system | |
| CN109501630A (en) | A kind of electric car charging scheme real-time recommendation method and system | |
| CN103278833A (en) | Line recommendation system and method based on Beidou satellite/GPS (global positioning system) data | |
| CN109636137A (en) | Electric automobile charging station planning and distributing method and system based on step analysis | |
| CN111695807A (en) | Regional power grid energy efficiency evaluation method and system considering power generation and power utilization side energy efficiency | |
| CN109754168A (en) | Charging station site selecting method and device | |
| CN105760452A (en) | Method and system for collection, processing and storage of high-concurrency mass data | |
| CN106817708A (en) | One kind patrols and examines cluster construction method and device | |
| CN106372970A (en) | Private tour guide automatic recommendation method and system | |
| CN111415035A (en) | Method and device for pre-estimating building function house type ratio | |
| DE202022106297U1 (en) | Intelligent system for energy demand forecasting and sustainable energy management through machine learning and artificial intelligence | |
| CN111524026A (en) | Power resource allocation method and device | |
| CN114897351A (en) | Online monitoring and analyzing method and system based on digital energy and storage medium | |
| CN102081624B (en) | Data inquiring method and data inquiring device | |
| CN107908784A (en) | A kind of Resource management dynamic management approach and its system based on big data | |
| CN111754147A (en) | Road division method, system, device and computer readable storage medium | |
| CN114723223A (en) | Electricity meter health degree analysis and display method and device based on Xuri day picture | |
| CN112541616A (en) | Power utilization adjusting method and system based on demand side response | |
| CN108734981A (en) | It hires a car system and method in conjunction with the reservation of traffic congestion situation | |
| CN111144628A (en) | Distributed energy supply type cooling, heating and power load prediction model system and method | |
| CN107493579B (en) | Method and device for wireless network pre-construction planning in colleges and universities |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160921 |
|
| WD01 | Invention patent application deemed withdrawn after publication |