CN112770286B - Sensor data processing method and device and computer equipment - Google Patents
Sensor data processing method and device and computer equipment Download PDFInfo
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- CN112770286B CN112770286B CN202110044506.2A CN202110044506A CN112770286B CN 112770286 B CN112770286 B CN 112770286B CN 202110044506 A CN202110044506 A CN 202110044506A CN 112770286 B CN112770286 B CN 112770286B
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- 238000003672 processing method Methods 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 18
- 238000007906 compression Methods 0.000 claims description 28
- 230000006835 compression Effects 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 20
- 230000005540 biological transmission Effects 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 15
- 238000005070 sampling Methods 0.000 claims description 8
- 238000013500 data storage Methods 0.000 claims description 7
- 238000013144 data compression Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
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- 230000004075 alteration Effects 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
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- 230000004927 fusion Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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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
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Abstract
The embodiment of the application provides a data processing method, a device and computer equipment of a sensor, comprising the following steps: acquiring initial sensor data; differentiating the initial sensor data to obtain differentiated sensor data, and differentiating the initial sensor data to obtain differentiated sensor data when the data quantity of the initial sensor data accords with a preset threshold value; the method and the device for acquiring the data of the differential sensor can realize high-precision data acquisition and greatly improve the data acquisition efficiency.
Description
Technical Field
The present application relates to the field of mechanical technology, and in particular, to a data processing method of a sensor, a data processing apparatus of a sensor, a computer device, and a storage medium.
Background
At present, the data acquisition of the sensor generally reports time sequence data points, and the names, the values and the time of the data points are mainly required to be reported. The data quantity of high-precision and high-frequency data acquisition is relatively large, and the data is difficult to realize in a narrow-band environment.
Disclosure of Invention
In view of the above problems, embodiments of the present application have been made to provide a data processing method of a sensor, a data processing apparatus of a sensor, a computer device, and a storage medium that overcome or at least partially solve the above problems.
In order to solve the above problems, an embodiment of the present application discloses a data processing method of a sensor, including:
acquiring initial sensor data;
differentiating the initial sensor data to obtain differentiated sensor data, namely differentiating the initial sensor data to obtain differentiated sensor data when the data quantity of the initial sensor data accords with a preset threshold value;
compressing the differential sensor data to obtain compressed sensor data, specifically, identifying data in the differential sensor data, and compressing the data to obtain compressed sensor data;
and transmitting the compressed sensor data, the frame header and the frame tail to an Internet of things server, wherein the Internet of things server can perform data reduction decoding according to the data, and initial sensor data can be obtained.
The frame header may include a compression type, a sampling rate, a data key, wherein the compression type includes: compression mode gzip; if not compressed, the data types thereof may be represented, including: binary, plastic, or string;
the data portion is a data storage area, the end of the frame indicates an end bit, 1 indicates that there is more data in the following frame, and 0 indicates that the data transmission is completed, if 1 indicates that the data is not ended, the data needs to be spliced with the data of the next frame to be decompressed.
The embodiment of the application also discloses a data processing device of the sensor, which comprises:
the data acquisition module is used for acquiring initial sensor data;
the data differentiating module is used for differentiating the initial sensor data to obtain differentiated sensor data;
the data compression module is used for compressing the sensor data after the difference to obtain the compressed sensor data;
the data transmission module is used for transmitting the compressed sensor data to the server of the Internet of things;
the data differencing module includes:
the difference molecule module is used for differentiating the initial sensor data to obtain differentiated sensor data when the data quantity of the initial sensor data accords with a preset threshold value;
the data compression module comprises:
the identification sub-module is used for identifying data in the sensor data after the difference;
the compression sub-module is used for compressing the data to obtain compressed sensor data;
the apparatus further comprises:
and the transmission sub-module is used for transmitting the compressed sensor data, the frame header and the frame tail to the Internet of things server.
The frame header may include a compression type, a sampling rate, a data key, wherein the compression type includes: compression mode gzip; if not compressed, the data types thereof may be represented, including: binary, plastic, or string;
the data portion is a data storage area, the end of the frame indicates an end bit, 1 indicates that there is more data in the following frame, and 0 indicates that the data transmission is completed, if 1 indicates that the data is not ended, the data needs to be spliced with the data of the next frame to be decompressed.
The embodiment of the application also discloses a computer device which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the data processing method of the sensor when executing the computer program.
The embodiment of the application also discloses a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, realizes the steps of the data processing method of the sensor.
The embodiment of the application has the following advantages:
in the embodiment of the application, the data processing method of the sensor comprises the following steps: acquiring initial sensor data; differentiating the initial sensor data to obtain differentiated sensor data; compressing the sensor data after the difference to obtain compressed sensor data; and transmitting the compressed sensor data to an Internet of things server. By adopting the technical scheme of the application, high-precision data acquisition can be realized, and the data acquisition efficiency is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the description of the embodiments will be briefly described below, it will be apparent that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art
FIG. 1 is a flow chart of steps of an embodiment of a data processing method of a sensor according to an embodiment of the present application;
FIG. 2 is a flow chart of a differential sensor data acquisition step according to an embodiment of the present application;
FIG. 3 is a flow chart of a post-compressed sensor data acquisition step according to an embodiment of the present application;
FIG. 4 is a flow chart of a data transmission step according to an embodiment of the present application;
FIG. 5 is a schematic illustration of an embodiment of the application A first part A block diagram of an embodiment of a data processing device for a seed sensor;
FIG. 6 is an internal block diagram of a computer device of one embodiment.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects solved by the embodiments of the present application more clear, the embodiments of the present application are further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Referring to fig. 1, a flowchart illustrating steps of an embodiment of a data processing method of a sensor according to an embodiment of the present application may specifically include the following steps:
step 101, acquiring initial sensor data;
the embodiment of the application can be applied to the Internet of things, and the Internet of things can comprise sensing layer equipment, an Internet of things network layer and a core exchange layer;
specifically, the sensing layer device can be divided into an automatic sensing device and an artificially generated information device, and specifically, the automatic sensing device is a device capable of automatically sensing information of an external physical object and physical environment, and comprises an RFID, a sensor, a GPS, an intelligent household appliance and an intelligent measurement and control device. And the artificially generated information equipment comprises intelligent electronic equipment for artificially generating information, such as a smart phone, a Personal Digital Assistant (PDA), a computer and the like, which are auxiliary means for automatic perception.
The network layer of the Internet of things mainly comprises low-speed short-distance wireless communication technologies such as Zigbee and Wi-Fi, bluetooth, Z-wave; low power routing, such as LPWAN, ad hoc communication, wireless access M2M communication enhancement, IP bearer technology network transport technology; heterogeneous network fusion technology and cognitive radio technology, such as NB-IOT, loRaSigfo data differential modules and the like.
The core exchange layer is mainly an IP network taking a TCP/IP protocol as a main, the core technology of the IP private network and the virtual private network Internet is the TCP/IP protocol, the TCP protocol is a protocol for realizing distributed process communication among computers in the Internet, and the IP protocol is a route selection of a transmission network for realizing the Internet; protocol for packet data transmission and network interconnection.
The embodiment of the application is mainly described by taking a sensor as an example, and is specifically applied to the embodiment of the application, wherein the sensor can be a resistance sensor, an inductance sensor, a capacitance sensor, a piezoelectric sensor, a magneto-electric sensor, a thermoelectric sensor, a photoelectric sensor, a digital sensor, an optical fiber sensor, an ultrasonic sensor, a thermal sensor, an analog sensor and the like, and the embodiment of the application is not limited in excessive way.
In the embodiment of the application, initial sensor data may be acquired first, for example, acquired temperature information of a temperature sensor in a certain period of time, such as temperature information of 12 to 13 points per minute, etc.
102, differentiating the initial sensor data to obtain differentiated sensor data;
in the embodiment of the application, the initial sensor data can be differentiated to obtain the differentiated sensor data.
That is, the data portion of the previous initial sensor data is subtracted from the data portion of the next initial sensor data to obtain the differential sensor data.
Step 103, compressing the sensor data after difference to obtain compressed sensor data;
further, when the differential sensor data is obtained and compressed, the compressed sensor data is obtained, and it should be noted that the frame header and the frame tail are not compressed in the embodiment of the present application.
For example, the above-mentioned compression of the temperature information from 12 to 13 points per minute may be performed by using various compression algorithms, such as huffman compression algorithm, run Length Coding (RLC) algorithm, etc., which are not limited in this embodiment.
And 104, transmitting the compressed sensor data to an Internet of things server.
In the embodiment of the application, the compressed sensor data can be transmitted to the base station of the Internet of things, and then the base station of the Internet of things is transmitted to the server of the Internet of things.
In the embodiment of the application, the data processing method of the sensor comprises the following steps: acquiring initial sensor data; differentiating the initial sensor data to obtain differentiated sensor data; specifically, the differential sensor data is compressed to obtain compressed sensor data; and transmitting the compressed sensor data to an Internet of things server. By adopting the technical scheme of the application, high-precision data acquisition can be realized, and the data acquisition efficiency is greatly improved.
Referring to fig. 2, a flow chart of a step of obtaining sensor data after differential according to an embodiment of the present application is shown, wherein the step of differentiating initial sensor data to obtain sensor data after differential includes:
in step S11 of the process of the present application,
and when the data quantity of the initial sensor data accords with a preset threshold value, differentiating the initial sensor data to obtain differentiated sensor data.
Specifically, the frame header may include a compression type, a sampling rate, and a data key, where the compression type includes: compression mode gzip; if not compressed, the data types thereof may be represented, including: binary, shaped, or string.
The data part is a data storage area, the frame tail represents an end bit, 1 represents the follow-up data, 0 represents the completion of data transmission, if 1 represents the data is not ended, the data can be decompressed only by splicing with the data of the next frame, and if 0 represents the data can be decompressed without splicing with the next frame.
In the embodiment of the application, only the data part is differentiated to obtain the sensor data after the differentiation.
Specifically, the difference value between each data and the previous data is calculated, namely, the difference value with smaller data volume can be obtained, the data transmission volume is reduced, the bandwidth of data transmission is reduced, and the narrowband data processing efficiency is improved. By adopting the technical scheme of the application, the data acquisition with the accuracy of 1khz 16bit can be realized under the bandwidth of 1 kbps.
When the data amount of the initial sensor data accords with a preset threshold, for example, the initial sensor data is differentiated (after 1000 data points are acquired per second) and the sensor data is compressed when the preset threshold is a sampling rate of 1000, and the type and the number of the preset threshold can be set by a person skilled in the art according to the actual situation, so that the embodiment of the application does not limit the type and the number of the preset threshold excessively.
Referring to fig. 3, a flow chart illustrating a procedure for obtaining compressed sensor data according to an embodiment of the present application, the method for compressing differential sensor data to obtain compressed sensor data includes:
step S21, identifying data in the sensor data after the difference;
and S22, compressing the data to obtain compressed sensor data.
For example, the temperature information from 12 to 13 points per minute may be compressed to obtain compressed sensor data. The differential data can be compressed by various compression algorithms, and the embodiment of the application does not limit the differential data excessively.
Referring to fig. 4, a flow chart illustrating a data transmission step according to an embodiment of the present application is shown, where the method further includes:
and 105, transmitting the compressed sensor data and frame heads and frame tails to an Internet of things server.
According to the embodiment of the application, the Internet of things server can perform data restoration decoding according to the data, and initial sensor data can be obtained.
The frame header may include a compression type, a sampling rate, a data key, wherein the compression type includes: compression mode gzip; if not compressed, the data types thereof may be represented, including: binary, shaped, or string.
The data part is a data storage area, the frame tail represents an end bit, 1 represents the follow-up data, 0 represents the completion of data transmission, if 1 represents the data is not ended, the data can be decompressed only by splicing with the data of the next frame, and if 0 represents the data can be decompressed without splicing with the next frame.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the application.
Referring to fig. 5, a block diagram of an embodiment of a data processing apparatus of a sensor according to an embodiment of the present application may specifically include the following modules:
a data acquisition module 301, configured to acquire initial sensor data;
the data differentiating module 302 is configured to differentiate the initial sensor data to obtain differentiated sensor data;
the data compression module 303 is configured to compress the differential sensor data to obtain compressed sensor data;
the data transmission module 304 is configured to transmit the compressed sensor data to an internet of things server.
Preferably, the data differencing module comprises:
and the difference molecule module is used for differentiating the initial sensor data to obtain differentiated sensor data when the data quantity of the initial sensor data accords with a preset threshold value.
Preferably, the data compression module includes:
the identification sub-module is used for identifying data in the sensor data after the difference;
and the compression sub-module is used for compressing the data to obtain compressed sensor data.
Preferably, the apparatus further comprises:
and the transmission sub-module is used for transmitting the compressed sensor data, the frame header and the frame tail to the Internet of things server.
The frame header may include a compression type, a sampling rate, a data key, wherein the compression type includes: compression mode gzip; if not compressed, the data types thereof may be represented, including: binary, shaped, or string.
The data part is a data storage area, the frame tail represents an end bit, 1 represents the follow-up data, 0 represents the completion of data transmission, if 1 represents the data is not ended, the data can be decompressed only by splicing with the data of the next frame, and if 0 represents the data can be decompressed without splicing with the next frame.
The respective modules in the data processing device of the sensor described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
The data processing device of the sensor provided by the above embodiment can be used for executing the data processing method of the sensor provided by any embodiment, and has corresponding functions and beneficial effects.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method of a sensor. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of the embodiments of fig. 1-4.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, implements the steps of the embodiments of fig. 1-4 below.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the application.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has outlined in detail a sensor data processing method, a sensor data processing device, a computer device and a storage medium, and the detailed description of the application applies to the specific examples herein to illustrate the principles and embodiments of the application, the above examples being only used to facilitate the understanding of the method and core idea of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (4)
1. A method of data processing for a sensor, comprising:
acquiring initial sensor data;
differentiating the initial sensor data to obtain differentiated sensor data, namely differentiating the initial sensor data to obtain differentiated sensor data when the data quantity of the initial sensor data accords with a preset threshold value;
compressing the differential sensor data to obtain compressed sensor data, specifically, identifying data in the differential sensor data, and compressing the data to obtain compressed sensor data;
transmitting the compressed sensor data, the frame header and the frame tail to an Internet of things server, wherein the Internet of things server can restore and decode the data to obtain initial sensor data;
the frame header may include a compression type, a sampling rate, a data key, wherein the compression type includes: compression mode gzip; if not compressed, the data types thereof may be represented, including: binary, plastic, or string;
the data portion is a data storage area, the end of the frame indicates an end bit, 1 indicates that there is more data in the following frame, and 0 indicates that the data transmission is completed, if 1 indicates that the data is not ended, the data needs to be spliced with the data of the next frame to be decompressed.
2. A data processing apparatus of a sensor, comprising:
the data acquisition module is used for acquiring initial sensor data;
the data differentiating module is used for differentiating the initial sensor data to obtain differentiated sensor data;
the data compression module is used for compressing the sensor data after the difference to obtain the compressed sensor data;
the data transmission module is used for transmitting the compressed sensor data to the server of the Internet of things;
the data differencing module includes:
the difference molecule module is used for differentiating the initial sensor data to obtain differentiated sensor data when the data quantity of the initial sensor data accords with a preset threshold value;
the data compression module comprises:
the identification sub-module is used for identifying data in the sensor data after the difference;
the compression sub-module is used for compressing the data to obtain compressed sensor data;
the apparatus further comprises:
the transmission sub-module is used for transmitting the compressed sensor data, the frame head and the frame tail to the Internet of things server;
the frame header may include a compression type, a sampling rate, a data key, wherein the compression type includes: compression mode gzip; if not compressed, the data types thereof may be represented, including: binary, plastic, or string;
the data portion is a data storage area, the end of the frame indicates an end bit, 1 indicates that there is more data in the following frame, and 0 indicates that the data transmission is completed, if 1 indicates that the data is not ended, the data needs to be spliced with the data of the next frame to be decompressed.
3. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, carries out the steps of the data processing method of the sensor as claimed in claim 1.
4. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the data processing method of a sensor as claimed in claim 1.
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