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CN201765488U - Motor vehicle monitoring system based on cloud computing - Google Patents

Motor vehicle monitoring system based on cloud computing
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Publication number
CN201765488U
CN201765488UCN2010201767427UCN201020176742UCN201765488UCN 201765488 UCN201765488 UCN 201765488UCN 2010201767427 UCN2010201767427 UCN 2010201767427UCN 201020176742 UCN201020176742 UCN 201020176742UCN 201765488 UCN201765488 UCN 201765488U
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China
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electromechanical equipment
energy consumption
cloud computing
internet
motor vehicle
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Expired - Fee Related
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CN2010201767427U
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Chinese (zh)
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姜永东
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LONGDHUA (BEIJING) AUTOMATIC CONTROL TECHNOLOGY Co Ltd
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Individual
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Abstract

The utility model discloses a motor vehicle monitoring system based on cloud computing. The motor vehicle monitoring system includes an electromechanical equipment controller, a collector of energy consumption parameters, and a cloud-computing management and control platform, wherein the electromechanical equipment controller is used for filed controlling every electromechanical equipment of a motor vehicle according to parameters set by a user and sending the parameters set by the user to the cloud-computing management and control platform; the collector of energy consumption parameters is used for collecting parameters relating to the energy consumption of every electromechanical equipment and sending the parameters to the cloud-computing management and control platform; and the cloud-computing management and control platform is used for adjusting the field control modes of the electromechanical equipment controller on every electromechanical equipment according the parameters relating to the energy consumption of every electromechanical equipment and the parameters set by the user. The motor vehicle monitoring system based on cloud computing intensively monitors each of electromechanical equipment of the motor vehicle, especially under the control of the cloud-computing management and control platform, thereby achieving the energy-conservation and consumption-reduction management and network automatic control to the utmost degree, achieving the optimum arrangement of energy, and obtaining better energy-conservation effect.

Description

Motor vehicle monitoring system based on cloud computing
Technical field
The utility model relates to monitoring control technology field, relates in particular to a kind of motor vehicle monitoring system based on cloud computing.
Background technology
Along with the energy in the worldwide is more and more in short supply, can realize that energy-conservation monitoring control system is also just more and more important.
Cloud computing is the network technology that grew up in recent years, and it is that calculation task is distributed on the resource pool of a large amount of computing machines formations, makes various application systems can obtain computing power, storage space and various software service as required.Each big IT company is numerous and confused to release the platform service of own cloud computing based on cloud computing, and as Google (GOOGLE), Microsoft, Yahoo, Amazon (Amazon) or the like, the summary cloud computing of getting up has following characteristics:
(1) ultra-large." cloud " has suitable scale, and the Google cloud computing has had more than 100 ten thousand station servers, and Amazon, IBM, Microsoft, Yahoo etc. " cloud " all has the hundreds of thousands station server.The privately owned cloud of enterprise generally has hundreds of thousands of station servers, and " cloud " can give the user unprecedented computing power.
(2) virtual.Cloud computing support the user at an arbitrary position, use various terminals to obtain application service.Institute's requested resource is from " cloud ", rather than fixing tangible entity.Be applied in somewhere operation in " cloud ", but in fact the user need not to understand, does not also worry using the particular location of operation.Only need a notebook or a mobile phone, just can realize all that we need, even comprise the task that supercomputing is such by the network service.
(3) high reliability." cloud " used measures such as the many copies of data are fault-tolerant, the computing node isomorphism is interchangeable to ensure the high reliability of service, and it is more reliable than using local computer to use cloud computing.
(4) versatility.Cloud computing can construct Protean application not at specific application under the support of " cloud ", same " cloud " can support different application operations simultaneously.
(5) enhanced scalability.The scale of " cloud " can dynamic retractility, satisfies and uses and the needs of userbase growth.
(6) on-demand service." cloud " is a huge resource pool, and you buy as required; Cloud can resemble tap water, electricity, and coal gas charges like that.
(7) extremely cheap.Because the special fault-tolerant measure of " cloud " can adopt extremely cheap node to constitute cloud, the robotization centralized management of " cloud " makes a large amount of enterprises need not to bear high day by day data center's handling cost, the versatility of " cloud " makes the utilization factor of resource significantly promote than legacy system, therefore the user can enjoy the low-cost advantage of " cloud " to the full, often as long as cost hundreds of dollar, several days time need the task that tens thousand of dollars, time several months just can finish before just finishing.
Internet of Things is exactly " internet that the thing thing links to each other ".The two-layer meaning is arranged: the first, the core and the basis of Internet of Things remain the internet, are extension on the basis, internet and a kind of network of expansion; The second, its user side extends and has expanded between any article and the article, carries out message exchange and communicates by letter.Therefore, the definition of Internet of Things is by information sensing equipment such as radio-frequency (RF) identification (RFID) device, infrared inductor, GPS, laser scanners, agreement by agreement, any article are connected with the internet, carry out message exchange and communicate by letter, to realize a kind of network of intelligent identification, location, tracking, monitoring and management." thing " will meet the following conditions and can be included into the scope of " Internet of Things ": the receiver that 1, corresponding information will be arranged; 2, data transmission path to be arranged; 3, certain memory function to be arranged; 4, CPU to be arranged; 5, operating system to be arranged; 6, special application program to be arranged; 7, data transmitter to be arranged; 8, follow the communication protocol of Internet of Things; 9, the unique number that can be identified is arranged in world's network.
Motor vehicle is as a kind of vehicles of modern society, and its quantity is increasing, and consumes energy is more and more, motor vehicle is as a kind of " thing ", is the scope that can be included into " Internet of Things " fully.Though each big vehicle manufacturers is is all researched and developed with energy savings,, after coming into the market, new energy source machine motor-car or the like, motor vehicle just no longer carry out the monitoring of energy consumption aspect as the higher engine of design efficiency in motor vehicle self design.If can carry out comprehensively monitoring to each motor vehicle that puts into operation, carry out energy consumption monitoring on the whole, greatly energy savings is significant.
The utility model content
In order to solve the problems referred to above of prior art, the purpose of this utility model provides a kind of motor vehicle monitoring system based on cloud computing, can concentrate motor vehicle and monitor, realize energy-saving and cost-reducing to greatest extent management and networking control automatically, thereby realize the optimization configuration of the energy, reach better energy-saving effect.
To achieve these goals, the utility model provides a kind of motor vehicle monitoring system based on cloud computing, comprising:
The electromechanical equipment controller is used for carrying out field control and sending described user's setup parameter to the cloud computing management console according to user's setup parameter each electromechanical equipment to motor vehicle;
Energy consumption parameter acquisition device is used to gather the parameter relevant with the energy consumption of described each electromechanical equipment and sends the cloud computing management console to;
The cloud computing management console is used for adjusting the field control mode of described electromechanical equipment controller to described each electromechanical equipment according to the described parameter relevant with the energy consumption of described each electromechanical equipment that collect and described user's setup parameter;
Between described electromechanical equipment controller and the described cloud computing management console, all intercom mutually by wireless communication networks between described energy consumption ginseng data collector and the described cloud computing management console, described wireless communication networks can be in gprs system, 3G network, the Big Dipper system or the Next Generation Internet etc. any;
Described electromechanical equipment controller comprise IP Internet of Things network engine controller, IP Internet of Things network cooling system controller, IP Internet of Things network lubricating system controller, IP Internet of Things network fuel control unit, IP Internet of Things network start-up system controller, IP Internet of Things network ignition controller, IP Internet of Things network protection system controller, IP Internet of Things network entertainment system controller and in conjunction with in a kind of.
As preferably, described cloud computing management console specifically comprises:
Receiving element is used to receive the described energy consumption parameter acquisition device parameter relevant with energy consumption described each electromechanical equipment that collect and described user's setup parameter;
First judging unit is used to judge whether the described parameter relevant with the energy consumption of described each electromechanical equipment that collect and described user's setup parameter mate and the production judged result;
The energy consumption model generation unit is used for generating corresponding energy consumption model according to the relevant parameter of the energy consumption of described each electromechanical equipment when the judged result of described first judging unit is coupling;
Historical energy consumption model database is used to store various historical energy consumption models;
Second judging unit is used for judging whether the energy consumption model of described generation and historical energy consumption model database corresponding historical energy consumption model mate and generate judged result;
The control model adjustment unit is adjusted the field control mode of described electromechanical equipment controller to described each electromechanical equipment when being used for judged result when described first judging unit or described second judging unit and being not matching.
As preferably, the described parameter relevant with the energy consumption of described each electromechanical equipment comprises direct energy consumption parameter, operational factor and security parameter.Wherein, directly the energy consumption parameter is often referred to the energy consumption consumption parameter of each electromechanical equipment (comprising engine, cooling system, lubricating system, brake system, entertainment systems etc.) of direct collection, the addition and the consumption that comprise power fuel (perhaps reserve of electricity), the parameter of being correlated with when operational factor comprises each electromechanical equipment operation of temperature, humidity, wind speed, air capacity, output power, running time, stand-by time, dead weight capacity, logout or the like, security parameter comprises the relevant parameter of each electromechanical equipment under the situations such as running status, fault, warning.
As preferably, the corresponding historical energy consumption model is meant the historical energy consumption model of the energy consumption model coupling of power consumption constraint parameter and described generation in the described historical energy consumption model database, and described power consumption constraint parameter comprises a kind of or its combination in automotive environment parameter, motor vehicle electromechanical equipment design parameter, motor vehicle type parameter and the energy supply type parameter.Have the various historical energy consumption models that meet industry standard (design standards) in the historical energy consumption model database, these historical energy consumption models have been considered evaluation criterions such as energy consumption mark post, efficient mark post, performance mark post, and energy consumption is the most rational comparatively speaking.The foundation of historical energy consumption model is subjected to the restriction of power consumption constraint parameter usually, power consumption constraint parameter difference, and the corresponding historical energy consumption model is just different.The automotive environment parameter comprises geographic position, meteorologic parameter or the like, motor vehicle electromechanical equipment design parameter comprise design power, measurement range and, design energy consumption parameter, design efficiency or the like, the motor vehicle type parameter comprises carrying, loading, electric car, motorcycle, wheeled machinery or the like voluntarily, and the energy supply type parameter comprises liquid fuel, rock gas, electronic, sun power or the like.Certainly, also have other power consumption constraint parameters, such as control model, utilization ratio, engine type or the like.
As preferably, described energy consumption ginseng data collector and described electromechanical equipment controller all corresponding based on the IPV4 agreement the network address or based on the network address of IPV6 agreement.
The beneficial effects of the utility model are, under the cloud computing management console, monitor each electromechanical equipment of motor vehicle is concentrated, realize energy-saving and cost-reducing to greatest extent management and networking control automatically, thereby realized the optimization configuration of the energy, reached better energy-saving effect.
Description of drawings
Fig. 1 is the structural representation based on the motor vehicle monitoring system of cloud computing of the utility model embodiment.
Embodiment
Describe embodiment of the present utility model in detail below in conjunction with accompanying drawing.
The structural representation based on the motor vehicle monitoring system of cloud computing of the utility model embodiment as shown in Figure 1 comprises based on the motor vehicle monitoring system of cloud computing:
Electromechanical equipment controller 11 is used for according to user's setup parameter each electromechanical equipment 10 being carried out field control and sending described user's setup parameter to cloudcomputing management console 13;Electromechanical equipment controller 11 comprises customerparameter setup unit 111, and it is used for user's setup parameter.Such as electromechanical equipment is engine, and then the user sets the parameters such as output power of engine as required, and sends the parameter of setting to cloud computing management console 13.Theelectromechanical equipment controller 11 that is generally used for motor vehicle comprises IP Internet of Things network engine controller, IP Internet of Things network cooling system controller, IP Internet of Things network lubricating system controller, IP Internet of Things network fuel control unit, IP Internet of Things network start-up system controller, IP Internet of Things network ignition controller, IP Internet of Things network protection system controller, IP Internet of Things network entertainment system controller or the like, and IP refers to Internet of Things IP address.
Energy consumptionparameter acquisition device 12 is used to gather the parameter relevant with the energy consumption of described each electromechanical equipment 10 and sends cloudcomputing management console 13 to; The parameter relevant with the energy consumption of described each electromechanical equipment comprises direct energy consumption parameter, operational factor and security parameter.Wherein, directly the energy consumption parameter is often referred to the energy consumption consumption parameter of each electromechanical equipment (comprising engine, cooling system, lubricating system, brake system, entertainment systems etc.) of direct collection, the addition and the consumption that comprise power fuel (perhaps reserve of electricity), the parameter of being correlated with when operational factor comprises each electromechanical equipment operation of temperature, humidity, wind speed, air capacity, output power, running time, stand-by time, dead weight capacity, logout or the like, security parameter comprises the relevant parameter of each electromechanical equipment under the situations such as running status, fault, warning.
Energy consumptionparameter acquisition device 12 is generally by sensor, the data statistics of all kinds of band network transmission function with gather unit, data analysis and uploading unit etc. and form, finish the collection and the rough estimates analytic function of data, its actual quantity is to set as required, has a lot of energy consumption parameter acquisition devices.Sensor can be various IP Internet of Things temperature sensors, IP Internet of Things humidity sensor, IP Internet of Things amount of fuel sensor, IP Internet of Things reserve of electricity sensor, IP Internet of Things distinctive signal network collection device (as CO, CO2, formaldehyde, current etc.) and electromechanical equipment operational factor network collection device or the like.The energy consumption parameter that collects is transferred to cloudcomputing management console 13 bywireless communication networks 20, andwireless communication networks 20 can be gprs system, 3G network and the Big Dipper system or more advanced transmission network of future generation or the like.
Present internet is based on the IPV4 agreement, and the IPV4 agreement adopts 32 bit address length, and limited address space is about to exhaust.Therefore in the motor vehicle monitoring system of extensive quantity, the network address thatelectromechanical equipment controller 11 and energy consumptionparameter acquisition device 12 can adopt based on the IPV6 agreement, the IPV6 agreement adopts 128 bit address length, for the whole earth, its address resource can be thought unlimited (every square metre can be distributed more than 1000 network address), even can adapt to the motor vehicle monitoring system in the global range.
Cloudcomputing management console 13 is used for the field control mode of adjusting 11 pairs of described each electromechanical equipments 10 of described electromechanical equipment controller according to the relevant parameter of described energy consumption that collect and described each electromechanical equipment 10 and described user's setup parameter.The purpose of adjusting is to realize the optimization configuration of the energy, cuts down the consumption of energy.Cloudcomputing management console 13 possesses functions such as Data Receiving, statistical study, processing, storage, under the situation of meeting consumers' demand, realizes energy-conservation to greatest extent.The cloudcomputing management console 13 of present embodiment specifically comprises:
Receivingelement 131 is used to receive relevant parameter and the described user's setup parameter of described energy consumptionparameter acquisition device 12 energy consumptions that collect and described each electromechanical equipment 10;
First judging unit 132 is used to judge whether described energy consumption that collect and described each electromechanical equipment 10 relevant parameter and described user's setup parameter mate and the production judged result; Whether the relevant parameter of electromechanical equipment 10 energy consumptions is reasonable, at first must meet consumers' demand, and only just talks energy savings under the situation of meeting consumers' demand.
Energy consumptionmodel generation unit 133 is used for generating corresponding energy consumption model according to the relevant parameter of the energy consumption of described each electromechanical equipment when the judged result of described first judging unit is coupling; Energy consumption model comprises whole power consumption and operation power consumption or the like index.Whether this moment, energy consumption model can be met consumers' demand, but be optimum selection, also needed further judgement.
Historical energyconsumption model database 130 is used to store various historical energy consumption models; There are the various historical energy consumption model of industry standard (design standards) and the optimum energy consumption models of being arranged or admitting of meeting in the historical energy consumption model database by files such as related specifications, standards, these historical energy consumption models have been considered evaluation criterions such as energy consumption mark post, efficient mark post, performance mark post, and energy consumption is the most rational comparatively speaking.
Second judging unit 134 is used for judging whether the energy consumption model of described generation and historical energy consumption model database corresponding historical energy consumption model mate and generate judged result; The foundation of historical energy consumption model is subjected to the restriction of power consumption constraint parameter usually, power consumption constraint parameter difference, and the corresponding historical energy consumption model is just different.Described power consumption constraint parameter comprises a kind of or its combination in automotive environment parameter, motor vehicle electromechanical equipment design parameter, motor vehicle type parameter and the energy supply type parameter.The automotive environment parameter comprises geographic position, meteorologic parameter or the like, motor vehicle electromechanical equipment design parameter comprise design power, measurement range and, design energy consumption parameter, design efficiency or the like, the motor vehicle type parameter comprises carrying, loading, electric car, motorcycle, wheeled machinery or the like voluntarily, and the energy supply type parameter comprises liquid fuel, rock gas, electronic, sun power or the like.Certainly, also have other power consumption constraint parameters, such as control model, utilization ratio, engine type or the like.
User (driver) is by the power consumption constraint parameter of the energy consumption model of the current generation of power consumption constraintparameter setting unit 14 inputs, in historical energyconsumption model database 130, find corresponding historical energy consumption model (being the historical energy consumption model of the energy consumption model coupling of energy consumption constrained parameters and described generation) according to these power consumption constraint parameters, judge again whether the energy consumption model and the corresponding historical energy consumption model that generate mate, the explanation energy consumption is not unreasonable if match, and needs to adjust.
Controlmodel adjustment unit 135 is used for judged result when describedfirst judging unit 132 or describedsecond judging unit 134 and is adjusting when not matching the field control mode of 11 pairs of described each electromechanical equipments 10 of described electromechanical equipment controller.The explanation energy consumption that do not match is undesirable, need adjust to cut down the consumption of energy field control mode, and till the energy consumption coupling, thereby the optimization that realizes energy consumption disposes.When the judged result of describedfirst judging unit 132 when not matching, illustrate that energy consumption can't reach the requirement that the user sets, and need directly adjust; When the judged result of describedsecond judging unit 134 when not matching, though illustrate that energy consumption can reach the user and set requirement, but also not optimum, do not consider evaluation criterions such as energy consumption mark post, efficient mark post, performance mark post, cut down the consumption of energy thereby be necessary to adjust further.When if the judged result of describedsecond judging unit 134 is coupling, illustrate that the energy consumption model of producing is reasonably satisfactory, then the energy consumption model with described generation joins in the described historical energy consumption model database, enriches historical data, for follow-up managing power consumption control provides reference.
Certainly, the control model of 13 pairs ofelectromechanical equipment controllers 11 of cloud computing management console has a variety of, and the foregoing description has only provided wherein a kind of.
Easy to use for the user, the motor vehicle monitoring system based on cloud computing of present embodiment can be made display interface intuitively, and the user only need manage control by display interface and get final product.
It is fairly obvious to use cloudcomputing management console 13 to monitor the advantage of control, the scale of cloud computing and the characteristics of extensibility make ultra-large energy consumption centralized control to realize, can realize the monitoring control of the motor vehicle in the global range theoretically, range of application is wider; The virtualized characteristics of cloud computing make each user need not independently monitoring control platform of configuration separately when carrying out managing power consumption control, but obtain as required in " cloud ", greatly reduce cost; The characteristics of the resource sharing of cloud computing make that the interior historical data of The whole control platform is very abundant, can mate best historical data as a reference, thereby realize the optimization configuration of the energy.
The model algorithm kind of cloud computing management console has a variety of, mainly be divided into regular algorithm and Event triggered algorithm, wherein regularly algorithm comprises: algebraic manipulation, total value calculating, operation hours, boolean Boolean computing, data integration, piecewise linear function, maximum and minimum value record etc., the Event triggered algorithm comprises: the warning of form task and presented event, site groups group control, zone or cohort warning, unitized construction etc.According to concrete needs selection algorithm, set up controlling models during use.
Above embodiment is an exemplary embodiment of the present utility model only, is not used in restriction the utility model, and protection domain of the present utility model is limited by additional claims.Those skilled in the art can be in essence of the present utility model and protection domain; the utility model is made various modifications or is equal to replacement; such as to as if steamer, aircraft, train or the like, this modification or be equal to replacement and also should be considered as dropping in the protection domain of the present utility model.

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Cited By (11)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN102170471A (en)*2011-04-142011-08-31宋健A real-time audio and video signal transmission method and system replacing satellite network
CN102186061A (en)*2011-04-282011-09-14宋健Cloud computing mode based method for implementing remote network monitoring system
CN102916990A (en)*2011-08-022013-02-06何志雄Intelligent real-time online cluster dynamic management system for devices of internet of things
WO2013040854A1 (en)*2011-09-202013-03-28Jiang YongdongCloud computing-based system and method for management and control of water chiller
WO2013040852A1 (en)*2011-09-202013-03-28Jiang YongdongCloud computing-based system and method for management and control of elevator apparatus
CN103016171A (en)*2011-09-202013-04-03朗德华信(北京)自控技术有限公司System and method for managing and controlling generator set based on cloud computing
CN103457918A (en)*2012-06-042013-12-18中兴通讯股份有限公司Vehicle control method, vehicle-mounted client sides, application platform and system
CN104160346A (en)*2012-03-062014-11-19西门子公司Method and device for the energy-efficient control of a plant
CN106774088A (en)*2017-01-122017-05-31深圳凯达通光电科技有限公司Motor vehicle monitoring system based on cloud computing
CN109756549A (en)*2018-03-292019-05-14比亚迪股份有限公司 Rail transit passenger information system, method, cloud platform and cloud broadcast controller
CN111397630A (en)*2020-04-092020-07-10宁波吉利汽车研究开发有限公司 Vehicle energy management method, vehicle and energy management system based on cloud server

Cited By (16)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN102170471A (en)*2011-04-142011-08-31宋健A real-time audio and video signal transmission method and system replacing satellite network
CN102186061A (en)*2011-04-282011-09-14宋健Cloud computing mode based method for implementing remote network monitoring system
CN102916990A (en)*2011-08-022013-02-06何志雄Intelligent real-time online cluster dynamic management system for devices of internet of things
WO2013040854A1 (en)*2011-09-202013-03-28Jiang YongdongCloud computing-based system and method for management and control of water chiller
WO2013040852A1 (en)*2011-09-202013-03-28Jiang YongdongCloud computing-based system and method for management and control of elevator apparatus
CN103019160A (en)*2011-09-202013-04-03朗德华信(北京)自控技术有限公司Water chiller management and control system and method based on cloud computing
CN103019159A (en)*2011-09-202013-04-03朗德华信(北京)自控技术有限公司Elevator equipment management and control system and method based on cloud computing
CN103016171A (en)*2011-09-202013-04-03朗德华信(北京)自控技术有限公司System and method for managing and controlling generator set based on cloud computing
CN103019160B (en)*2011-09-202016-03-02朗德华信(北京)自控技术有限公司Based on cooling-water machine management control system and the method for cloud computing
US10281886B2 (en)2012-03-062019-05-07Siemens AktiengesellschaftMethod and device for the energy-efficient control of a plant
CN104160346A (en)*2012-03-062014-11-19西门子公司Method and device for the energy-efficient control of a plant
CN104160346B (en)*2012-03-062017-03-29西门子公司For the method and apparatus of energy-conservation ground control device
CN103457918A (en)*2012-06-042013-12-18中兴通讯股份有限公司Vehicle control method, vehicle-mounted client sides, application platform and system
CN106774088A (en)*2017-01-122017-05-31深圳凯达通光电科技有限公司Motor vehicle monitoring system based on cloud computing
CN109756549A (en)*2018-03-292019-05-14比亚迪股份有限公司 Rail transit passenger information system, method, cloud platform and cloud broadcast controller
CN111397630A (en)*2020-04-092020-07-10宁波吉利汽车研究开发有限公司 Vehicle energy management method, vehicle and energy management system based on cloud server

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Owner name:LONGDHUA (BEIJING) CONTROLS TECHNOLOGY CO., LTD.

Free format text:FORMER OWNER: JIANG YONGDONG

Effective date:20110427

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Effective date of registration:20110427

Address after:100086 No. 111, ideal building, Haidian District, Beijing, Zhichun Road 1203

Patentee after:Longdhua (Beijing) Automatic Control Technology Co., Ltd.

Address before:100086 No. 111, ideal building, Haidian District, Beijing, Zhichun Road 1203

Patentee before:Jiang Yongdong

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Termination date:20190427


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