CN107222551A - A kind of data transfer and processing method, equipment, information processing centre - Google Patents
A kind of data transfer and processing method, equipment, information processing centre Download PDFInfo
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- CN107222551A CN107222551A CN201710485876.3A CN201710485876A CN107222551A CN 107222551 A CN107222551 A CN 107222551A CN 201710485876 A CN201710485876 A CN 201710485876A CN 107222551 A CN107222551 A CN 107222551A
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- value
- dependent variable
- incidence relation
- sensing data
- equipment
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C19/00—Electric signal transmission systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
This application provides a kind of data transfer and processing method, equipment, information processing centre, information processing centre issues the sensing data as independent variable, the sensing data as dependent variable and both operation relations, equipment is in the case where the sensing data collected meets this incidence relation, the sensing data as independent variable only is sent to information processing centre, to reduce the data volume of transmission.
Description
Technical field
The application is related in electronic information field, more particularly to a kind of data transfer and processing method, equipment, information processing
The heart.
Background technology
With application of the development and various smart machines of network technology in enterprise, technology of Internet of things is enterprise
The development of industry brings huge benefit.By the networking of various smart machines, enterprise can easily manage, monitor various
Key equipment, rapidly discovering device is abnormal in time and equipment is safeguarded, reduces economic loss.Meanwhile, enterprise can also
Using the various smart machine real time datas of collection, with reference to advanced artificial intelligence scheduling algorithm, analyze various can improve and set
Standby utilization rate, reduces the pattern of equipment operation maintenance cost, improves the performance of enterprises.
In Internet of things system, various smart machines need acquisition attributes (including static attribute and dynamic attribute) data,
Static attribute data are typically stored directly in label, and dynamic attribute data are needed by sensor real-time detection.Equipment needs fixed
The attribute data real-time detected (can be described as sensing data again) is transmitted to information processing centre by the phase, in device sensor quantity
, it is necessary to which the data volume uploaded is very big in the case that many and/or frequency acquisition is high.
The content of the invention
This application provides a kind of data transfer and processing method, equipment, information processing centre, it is therefore intended that solves Internet of Things
The problem of data volume of equipment transmission in net is big.
To achieve these goals, this application provides following technical scheme：
A kind of data transmission method, applied to the equipment in Internet of Things, including：
The incidence relation of sensing data is obtained, the incidence relation includes the sensing data and conduct as dependent variable
The operation relation of the sensing data of independent variable；
In the sensing data collected, dependent variable value and argument value are searched, the dependent variable value is the association
The sensing data as dependent variable that relation is indicated, the argument value is the conduct that the incidence relation is indicated
The sensing data of independent variable；
The dependent variable value by the case that the argument value is obtained by the operation relation, only send it is described from
Variate-value.
Optionally, in addition to：
In the case where the dependent variable value and the argument value are unsatisfactory for the incidence relation, the dependent variable is sent
Value and the argument value.
A kind of data processing method, applied to the information processing centre of Internet of Things, including：
Historical sensor data is received, the sensing data is gathered by equipment by sensor；
According to the historical sensor data, incidence relation is obtained, the incidence relation includes the sensing as dependent variable
Device data and the operation relation of the sensing data as independent variable；
The incidence relation is sent to the equipment, the incidence relation is used for the equipment in the sensor number collected
In, dependent variable value and argument value are searched, is obtained in the dependent variable value by the argument value by the operation relation
In the case of, the argument value is only sent, the dependent variable value is the described as dependent variable of incidence relation instruction
Sensing data, the argument value is the sensing data as independent variable that the incidence relation is indicated.
Optionally, in addition to：
In the case where receiving the argument value and the dependent variable value of the equipment transmission, or, receiving
To the argument value and the dependent variable value be unsatisfactory for the incidence relation in the case of, recalculate incidence relation.
Optionally, in addition to：
In the case where only receiving the argument value that the equipment is sent, according to the incidence relation and it is described from
Variate-value, calculates the dependent variable value.
A kind of equipment, including：
Acquisition module, the incidence relation for obtaining sensing data, the incidence relation includes the biography as dependent variable
Sensor data and the operation relation of the sensing data as independent variable；
Searching modul, in the sensing data collected, searching dependent variable value and argument value, the dependent variable
It is worth the sensing data as dependent variable indicated for the incidence relation, the argument value is that the incidence relation refers to
The sensing data as independent variable shown；
Sending module, for situation about being obtained in the dependent variable value by the argument value by the operation relation
Under, only send the argument value.
Optionally, the sending module is additionally operable to：
In the case where the dependent variable value and the argument value are unsatisfactory for the incidence relation, the dependent variable is sent
Value and the argument value.
A kind of information processing centre, including：
Receiving module, for receiving historical sensor data, the sensing data is gathered by equipment by sensor；
Determining module, for according to the historical sensor data, obtaining incidence relation, the incidence relation includes conduct
The operation relation of the sensing data of dependent variable and the sensing data as independent variable；
Sending module, for sending the incidence relation to the equipment, the incidence relation is being adopted for the equipment
In the sensing data collected, dependent variable value and argument value are searched, institute is passed through by the argument value in the dependent variable value
State in the case that operation relation obtains, only send the argument value, the institute that the dependent variable value indicates for the incidence relation
The sensing data as dependent variable is stated, the argument value is the sensing as independent variable that the incidence relation is indicated
Device data.
Optionally, the determining module is additionally operable to：
In the case where the receiving module receives the argument value and the dependent variable value of the equipment transmission,
Or, in the case where the argument value and the dependent variable value received is unsatisfactory for the incidence relation, recalculate
Incidence relation.
Optionally, in addition to：
Computing module, the situation for only receiving the argument value that the equipment is sent in the receiving module
Under, according to the incidence relation and the argument value, calculate the dependent variable value.
In the application, sensor number that information processing centre determines foundation historical sensor data, as independent variable
Issued according to the operation relation with the sensing data as dependent variable as incidence relation, equipment is in the sensing data collected
In the case of meeting this incidence relation, the sensing data as independent variable only is sent to information processing centre, to reduce transmission
Data volume.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of application, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of flow chart of data transmission method disclosed in the embodiment of the present application；
Fig. 2 is a kind of flow chart of data transfer and processing method disclosed in the embodiment of the present application；
Fig. 3 is a kind of structural representation of equipment disclosed in the embodiment of the present application；
Fig. 4 is a kind of structural representation of information processing centre disclosed in the embodiment of the present application.
Embodiment
The data transmission method that the application is provided, can be applied in Internet of Things, in the present embodiment, and Internet of Things includes information
Sensor is provided with center and equipment, the equipment, the equipment gathers sensing data by sensor device.Equipment will be logical
That crosses sensor acquisition uploads to information centre, and data are handled by information centre.
The purpose of data transmission method described herein is, is not influenceing information processing centre to enter sensing data
On the premise of row analysis, the data volume that equipment is uploaded is reduced.
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only some embodiments of the present application, rather than whole embodiments.It is based on
Embodiment in the application, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of the application protection.
Fig. 1 is a kind of data transmission method disclosed in the embodiment of the present application, in order to make it easy to understand, the present embodiment is from Internet of Things
In the angle that is interacted with information processing centre of equipment illustrate and (do not embody information processing centre in Fig. 1), but this interaction
The restriction for the step of each being performed to equipment and information centre is not constituted.
Comprise the following steps in Fig. 1：.
Method shown in Fig. 1 comprises the following steps：
S101：Equipment obtains the incidence relation of sensing data, and incidence relation includes the sensing data as independent variable
With the operation relation of the sensing data as dependent variable.
That is, having operation relation between some sensing datas.In the present embodiment, by between sensing data
Operation relation is used as incidence relation.Outside division operation relation, in the present embodiment, incidence relation can also include being used as independent variable
Sensing data and the sensing data as dependent variable, for example, y=2x is a kind of incidence relation, wherein, x is independent variable,
Y is dependent variable.
In Internet of Things, there may be operation relation between the sensing data that equipment is collected by each sensor,
For example, the air speed data that is collected by air velocity transducer of wind-driven generator and the driftage collected by sensor for countering of going off course
There is positively related operation relation between angle-data.That is, incidence relation includes：Collected as the air velocity transducer of independent variable
The positive correlation of yaw angle data that is collected with the driftage sensor for countering as dependent variable of air speed data.
Incidence relation according to the historical data that each sensor is obtained can voluntarily determine (specific determination mode by equipment
Referring to following examples), it can also be obtained by miscellaneous equipment such as information processing centre according to each sensor that equipment is sent
Historical data determine (specific determination mode is referring to following examples) after, issue the equipment described in the present embodiment.
It should be noted that in the data that each sensor is collected, may a kind of sensing data and multiple sensors
Data are respectively provided with incidence relation, for example, the wind speed number that the temperature data that temperature transmitter is collected is collected with air velocity transducer
According to inverse correlation, and the rotary speed data positive correlation collected with speed probe.It is also possible that certain sensing data and other sensings
Device data are without operation relation.For example, data and temperature sensor, wind transducer of brake wear sensor collection etc. are adopted
The data collected are without operation relation.
S102：Equipment searches the sensor as dependent variable that incidence relation is indicated in the sensing data collected
Data (for the ease of description, referred to as dependent variable value), and incidence relation indicate as independent variable sensing data (in order to
It is easy to description, referred to as argument value).
Example is connected, wind-driven generator is determined according to the historical data that air velocity transducer and driftage sensor for countering are collected
Exist between air speed data and yaw angle data after positively related operation relation, the data collected in each sensor are (non-
Historical data) in, the yaw angle number of degrees that the air speed data and driftage sensor for countering that lookup air velocity transducer is collected are collected
According to.
S103：Equipment is only sent out in the case of dependent variable value and argument value match operation relation to information processing centre
Send argument value.
Connect example, wind-driven generator checking dependent variable value be yaw angle data whether with argument value i.e. air speed data just
It is related.If it is, determining match operation relation between dependent variable value and argument value.In the case, only air speed data is sent out
To information processing centre.
Optionally, information processing centre calculates dependent variable value, that is, made according to the argument value and incidence relation that receive
For the sensing data of dependent variable.Information processing centre can also be handled argument value and dependent variable value, specific place
Reason mode may refer to prior art, repeat no more here.
It can be seen that from the method described in Fig. 1 because there is operation relation between dependent variable value and argument value.So,
Equipment need not send dependent variable value, and only send the sensing data as independent variable, and the recipient of data is at information
Reason center can voluntarily be calculated as the sensing data of dependent variable.Therefore, it is possible to reduce the data traffic volume of equipment.Enter one
Step ground, can reduce network load, also, in the case where sending data using mobile network, because the data volume drop sent
It is low, thus it is possible to reduce the use cost of network.
If it should be noted that incidence relation is voluntarily determined by equipment such as wind-driven generator, needed to sensor
The analysis side of data, i.e. information processing centre, send incidence relation.Because in the case where incidence relation is constant, without repeating
Incidence relation is sent, so, compared with sending all sensors data, equipment needs the data volume sent still less.
The method shown in Fig. 1 is described in more detail so that equipment is wind-driven generator as an example below.
It is typically provided with wind-driven generator such as lower sensor：Speed probe, driftage sensor for countering, wind speed sensing
Device, wind transducer, shock sensor, temperature sensor and brake wear sensor etc..
The data that wind-driven generator is gathered by speed probe are designated as X1, pass through go off course sensor for countering gather data
It is designated as X2, the data that are gathered by air velocity transducer be designated as X3, the data that are gathered by wind transducer be designated as X4, pass through vibrations
The data of sensor collection are designated as X5, the data that are gathered by temperature sensor be designated as X6, pass through brake wear sensor gather
Data are designated as X7。
Fig. 2 is another disclosed data transmission method of the embodiment of the present application, is comprised the following steps：
S201：Information processing centre is sensed according to the historical sensor data received from each wind-driven generator
The incidence relation of device data.
Sensor data acquisition model can be expressed as
Wherein, m is X in sampling period number, this step1-X7It is historical data.
The determination method of incidence relation is specially：
1st, the correlation coefficient r between different sensing datas is calculatedij(1≤i, j≤7), formula is：
Wherein,WithRespectively sensors XiAnd XjAverage.
2nd, for sensing data XiFor, in rijIn find out and meet relation rij≥H1(H1For selection threshold value, normal condition
For 0.5, can be adjusted according to actual conditions) sensing data set Ω, and determine sensor using least square method
Data XiWith the relation between other sensing datas, i.e.,
As incidence relation, wherein, αkRecurrence with β for least square fitting RMSE when minimum
Coefficient.
S202：The incidence relation determined in S201 is issued wind-driven generator by information processing centre.
S203：Wind-driven generator gathers sensing data, i.e., in real time as data acquisition end by each above-mentioned sensor
Real time data X1-X7。
S204：Wind-driven generator judges the actual value of the sensing data as dependent variable, that is, the sensor number collected
According to Xi, with calculating obtained calculated value according to as the sensing data and operation relation of independent variable, i.e.,It
Between difference whether exceed default threshold value, i.e., | Xi-xp|≤H2Whether set up, if it is perform S205~S206, otherwise,
Perform S207.
Wherein, it is allowed to error threshold H2Value is 0.1, can be adjusted according to practical situations.
S205：Wind-driven generator sends the sensing data as independent variable to information processing centre.
S206：Information processing centre is used as dependent variable according to the sensing data and incidence relation as independent variable, calculating
Sensing data.
Specifically, information processing centre is according to XkWithCalculate Xi。
S207：Wind-driven generator sends all the sensors data collected to information processing centre, including is used as change certainly
The sensing data of amount and the sensing data as dependent variable.
It should be noted that in the case where information processing centre issues incidence relation, if still have received wind-force
Generator send the sensing data as dependent variable, then explanation be possible to before issue equipment incidence relation it is wrong or
Changed.Therefore, optionally, after S207, it can also carry out following steps：
S208：The historical sensor data that information processing centre is uploaded according to wind-driven generator, redefines incidence relation.
Method described in Fig. 2, biography of the information processing centre using the sensing data as independent variable and as dependent variable
The operation relation of sensor data is issued as incidence relation, and equipment meets the feelings of this incidence relation in the sensing data collected
Under condition, the sensing data as independent variable only is sent to information processing centre, to reduce the data volume of transmission.
Fig. 3 is a kind of equipment disclosed in the embodiment of the present application, including：Acquisition module, searching modul and sending module.
Acquisition module is used for the incidence relation for obtaining sensing data, and the incidence relation includes the sensing as dependent variable
Device data and the operation relation of the sensing data as independent variable.
Searching modul is used in the sensing data collected, searches dependent variable value and argument value, the dependent variable
It is worth the sensing data as dependent variable indicated for the incidence relation, the argument value is that the incidence relation refers to
The sensing data as independent variable shown.
Sending module is used in the dependent variable value by the case that the argument value is obtained by the operation relation,
Only send the argument value.In the case where the dependent variable value and the argument value are unsatisfactory for the incidence relation, hair
Send the dependent variable value and the argument value.
Equipment shown in Fig. 3 can reduce the data volume of transmission, so as to save Web vector graphic cost.
Fig. 4 is a kind of information processing centre disclosed in the embodiment of the present application, including：Receiving module, determining module and transmission
Module.
Receiving module is used to receive historical sensor data, and the sensing data is gathered by equipment by sensor.
Determining module is used for according to the historical sensor data, obtains incidence relation, and the incidence relation includes conduct
The operation relation of the sensing data of dependent variable and the sensing data as independent variable.
Sending module is used to send the incidence relation to the equipment, and the incidence relation is used for the equipment in collection
To sensing data in, search dependent variable value and argument value, passed through in the dependent variable value by the argument value described
In the case that operation relation is obtained, the argument value is only sent, the dependent variable value is the described of incidence relation instruction
As the sensing data of dependent variable, the argument value is the sensor as independent variable that the incidence relation is indicated
Data.
Optionally, the argument value of the equipment transmission and the situation of the dependent variable value are received in receiving module
Under, or, in the case where the argument value and the dependent variable value received is unsatisfactory for the incidence relation, determine mould
Block is additionally operable to recalculate incidence relation.
Optionally, computing module can also be included in Fig. 4, is sent for only receiving the equipment in the receiving module
The argument value in the case of, according to the incidence relation and the argument value, calculate the dependent variable value.
Information processing centre shown in Fig. 4, it may be determined that go out incidence relation, and be handed down to equipment, can reduce for equipment
The data volume of transmission provides basis.
The interaction of the information processing centre shown in equipment and Fig. 4 shown in Fig. 3 may refer to shown in Fig. 2, here not
Repeat again.
If the function described in the embodiment of the present application method is realized using in the form of SFU software functional unit and is used as independent production
Product are sold or in use, can be stored in a computing device read/write memory medium.Understood based on such, the application is real
The part for applying part that example contributes to prior art or the technical scheme can be embodied in the form of software product,
The software product is stored in a storage medium, including some instructions are to cause a computing device (can be personal meter
Calculation machine, server, mobile computing device or network equipment etc.) perform whole or the portion of the application each embodiment methods described
Step by step.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), with
Machine access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with Jie of store program codes
Matter.
The embodiment of each in this specification is described by the way of progressive, what each embodiment was stressed be with it is other
Between the difference of embodiment, each embodiment same or similar part mutually referring to.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or use the application.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can in other embodiments be realized in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (10)
1. a kind of data transmission method, applied to the equipment in Internet of Things, it is characterised in that including：
The incidence relation of sensing data is obtained, the incidence relation includes with being used as certainly becoming as the sensing data of dependent variable
The operation relation of the sensing data of amount；
In the sensing data collected, dependent variable value and argument value are searched, the dependent variable value is the incidence relation
The sensing data as dependent variable indicated, the argument value is that described be used as that the incidence relation is indicated becomes certainly
The sensing data of amount；
In the dependent variable value by the case that the argument value is obtained by the operation relation, only sending the independent variable
Value.
2. according to the method described in claim 1, it is characterised in that also include：
In the case where the dependent variable value and the argument value are unsatisfactory for the incidence relation, send the dependent variable value with
And the argument value.
3. a kind of data processing method, the information processing centre applied to Internet of Things, it is characterised in that including：
Historical sensor data is received, the sensing data is gathered by equipment by sensor；
According to the historical sensor data, incidence relation is obtained, the incidence relation includes the sensor number as dependent variable
According to the operation relation with the sensing data as independent variable；
The incidence relation is sent to the equipment, the incidence relation is used for the equipment in the sensing data collected
In, dependent variable value and argument value are searched, is obtained in the dependent variable value by the argument value by the operation relation
In the case of, the argument value is only sent, the dependent variable value is the biography as dependent variable that the incidence relation is indicated
Sensor data, the argument value is the sensing data as independent variable that the incidence relation is indicated.
4. method according to claim 3, it is characterised in that also include：
In the case where receiving the argument value and the dependent variable value of the equipment transmission, or, what is received
In the case that the argument value and the dependent variable value are unsatisfactory for the incidence relation, incidence relation is recalculated.
5. the method according to claim 3 or 4, it is characterised in that also include：
In the case where only receiving the argument value that the equipment is sent, according to the incidence relation and the independent variable
Value, calculates the dependent variable value.
6. a kind of equipment, it is characterised in that including：
Acquisition module, the incidence relation for obtaining sensing data, the incidence relation includes the sensor as dependent variable
Data and the operation relation of the sensing data as independent variable；
Searching modul, in the sensing data collected, searching dependent variable value and argument value, the dependent variable value is
The sensing data as dependent variable that the incidence relation is indicated, the argument value is what the incidence relation was indicated
The sensing data as independent variable；
Sending module, in the dependent variable value by the case that the argument value is obtained by the operation relation, only
Send the argument value.
7. equipment according to claim 6, it is characterised in that the sending module is additionally operable to：
In the case where the dependent variable value and the argument value are unsatisfactory for the incidence relation, send the dependent variable value with
And the argument value.
8. a kind of information processing centre, it is characterised in that including：
Receiving module, for receiving historical sensor data, the sensing data is gathered by equipment by sensor；
Determining module, for according to the historical sensor data, obtaining incidence relation, the incidence relation is included as because becoming
The operation relation of the sensing data of amount and the sensing data as independent variable；
Sending module, for sending the incidence relation to the equipment, the incidence relation is being collected for the equipment
Sensing data in, search dependent variable value and argument value, the fortune passed through by the argument value in the dependent variable value
In the case that calculation relation is obtained, the argument value is only sent, the dependent variable value is the work that the incidence relation is indicated
For the sensing data of dependent variable, the argument value is the sensor number as independent variable that the incidence relation is indicated
According to.
9. information processing centre according to claim 8, it is characterised in that the determining module is additionally operable to：
In the case where the receiving module receives the argument value and the dependent variable value of the equipment transmission, or
Person, in the case where the argument value and the dependent variable value received is unsatisfactory for the incidence relation, recalculates pass
Connection relation.
10. information processing centre according to claim 8 or claim 9, it is characterised in that also include：
Computing module, in the case of only receiving the argument value that the equipment is sent in the receiving module, according to
According to the incidence relation and the argument value, the dependent variable value is calculated.
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