WO2019196480A1

WO2019196480A1 - Data processing method and apparatus for device

Info

Publication number: WO2019196480A1
Application number: PCT/CN2018/121258
Authority: WO
Inventors: 刘华; 范佳龙; 牟桂贤; 申伟刚; 苏玉海; 李石江; 李窑; 庞宇燚
Original assignee: 珠海格力电器股份有限公司
Priority date: 2018-04-09
Filing date: 2018-12-14
Publication date: 2019-10-17
Also published as: CN108599897B; CN108599897A

Abstract

The present invention provides a data processing method and apparatus for a device. The method comprises: obtaining historical data of a target device within a preset time period, wherein the target device is located in a preset geographic area; analyzing the historical data to determine the probability of occurrence of each type of characters in the historical data; and generating, according to the probability of occurrence of each type of characters, a sub-coding table for coding data to be transmitted of the target device in the preset geographic area within the preset time period, wherein the probability of occurrence of each type of characters in the historical data is inversely proportional to a corresponding coded symbol length of the characters in the sub-coding table.

Description

Data processing method and device for equipment

Technical field

The present invention relates to the field of data processing, and in particular to a data processing method and apparatus for a device.

Background technique

Current home appliance equipment usually installs a DTU (Data Transfer Unit) for remote monitoring and maintenance of household appliances. Specifically, the server receives data transmitted by the home appliance through the DTU, and analyzes and processes the data, thereby realizing remote real-time detection and troubleshooting.

The DTU transmits data by means of GPRS module to realize wireless communication with the server. However, the data transmitted by GPRS is charged according to the traffic used for transmission. Therefore, the home appliance will generate a large amount of data transmission between the DTU and the server. cost.

In view of the problem of high transmission cost when the home appliance transmits data through the DTU in the prior art, an effective solution has not been proposed yet.

Summary of the invention

At least some embodiments of the present invention provide a data processing method and apparatus for a device to at least solve the technical problem of high transmission cost when a home appliance transmits data through a DTU in the prior art.

In an embodiment of the present invention, a data processing method of a device is provided, including: acquiring historical data of a target device within a preset time period, wherein the target device is in a preset geographic area; and analyzing historical data. Determining a probability of occurrence of each character in the historical data; generating, according to the probability of occurrence of each character, a sub-coding table for encoding the data to be transmitted of the target device of the preset geographical area in a preset time period, wherein each The probability that a character appears in the historical data is inversely proportional to the length of the corresponding encoded symbol in the sub-code table.

In an embodiment of the present invention, a data processing method of a device is further provided, including: acquiring a first coding table, where the first coding table includes sub-coding of a target device of a preset geographical area in a preset time period. In the table, the length of the coded symbol corresponding to the character in the subcode table is inversely proportional to the probability that the character appears in the historical data corresponding to the subcode table; and the data to be transmitted is encoded according to the first code table.

In an embodiment of the present invention, a data processing apparatus is provided, including: a first acquiring module, configured to acquire historical data of a target device within a preset time period, wherein the target device is in a preset geographic location The analysis module is configured to analyze the historical data to determine the probability of occurrence of each character in the historical data; the generating module is configured to generate a target device for the preset geographic area according to the probability of occurrence of each character A sub-coding table in which data to be transmitted is encoded in a preset time period, wherein the probability that each character appears in the historical data is inversely proportional to the length of the corresponding encoded symbol in the sub-coding table.

In an embodiment of the present invention, a data processing apparatus for a device is provided, including: a second obtaining module, configured to acquire a first encoding table, wherein the first encoding table includes a target device of a preset geographic area. The sub-coding table of the preset time period, the length of the encoding symbol corresponding to the character in the sub-coding table is inversely proportional to the probability of occurrence of the character in the historical data corresponding to the sub-coding table; the encoding module is configured to transmit the data according to the first encoding table Encode.

In an embodiment of the present invention, a storage medium is further provided, where the storage medium includes a stored program, wherein the target device on which the storage medium is located is controlled to execute the data processing method of the device described above when the program is running.

In an embodiment of the present invention, there is further provided a processor, wherein the processor is configured to execute a program, wherein the program is executed to execute the data processing method of the device.

In at least some embodiments of the present invention, historical data of a target device in a preset time period is acquired, wherein the target device is in a preset geographic area; and historical data is analyzed to determine a probability of occurrence of each character in the historical data; Generating, according to the probability of occurrence of each character, a sub-coding table for encoding the data to be transmitted of the target device of the preset geographical area in a preset time period, wherein the probability and character of each character appearing in the historical data are The length of the corresponding coded symbol in the sub-code table is inversely proportional. The above solution determines the probability of occurrence of each character in the data of the target device in each geographical area in different time periods by using historical data, thereby obtaining the data law of the target device in different geographical regions in different time periods, and then according to this The law determines the corresponding coding symbol for the character, and achieves the purpose of reducing the amount of data. When the DTU data transmission cost is fixed, the DTU data transmission cost is reduced, and the transmission cost of the home appliance through the DTU is higher. Technical problem.

DRAWINGS

The drawings described herein are intended to provide a further understanding of the invention, and are intended to be a part of the invention. In the drawing:

1 is a flow chart of a data processing method of a device according to an embodiment of the present application;

2 is a schematic diagram of a generated sub-encoding table according to an embodiment of the present application;

3 is a schematic diagram of a determination target sub-code table according to an embodiment of the present application;

4 is a data processing method of a device according to an embodiment of the present application;

FIG. 5 is a schematic diagram of coding a DTU to be transmitted according to an embodiment of the present application; FIG.

6 is a schematic diagram of a data processing apparatus of a device according to an embodiment of the present application;

FIG. 7 is a schematic diagram of a data processing apparatus of a device according to an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is an embodiment of the invention, but not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.

It is to be understood that the terms "first", "second" and the like in the specification and claims of the present invention are used to distinguish similar objects, and are not necessarily used to describe a particular order or order. It is to be understood that the data so used may be interchanged where appropriate, so that the embodiments of the invention described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "comprises" and "comprises" and "the" and "the" are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to Those steps or units may include other steps or units not explicitly listed or inherent to such processes, methods, products or devices.

Example 1

According to an embodiment of the present invention, there is provided an embodiment of a data processing method of a device, and it is noted that the steps illustrated in the flowchart of the accompanying drawings may be performed in a computer system such as a set of computer executable instructions, and Although the logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.

1 is a flowchart of a data processing method of a device according to an embodiment of the present invention. The target device in this embodiment may be a home appliance such as an air conditioner. In the following embodiments of the present application, the target device is used as an air conditioner. . As shown in FIG. 1, the method includes the following steps:

Step S102: Acquire historical data of the target device in a preset time period, where the target device is in the preset geographic area.

Specifically, the preset geographic area may be a specified one or more geographical areas, may be divided according to provinces, or may be divided according to other dimensions; the preset time period may be multiple time periods in one cycle, one The period can be one year, divide the time of one year, get multiple time periods, or divide other time periods into time periods. The above historical data may be historical data in a time period, or may be historical data in a plurality of periods.

Due to the geographical differences in China, the usage habits of household appliances (such as air conditioners) in different regions are different; the data collected by the data communication unit (DTU) is distributed according to the probability of a certain region, and The replacement of the four seasons in the year makes the user's habit of using air conditioners have a certain regular probability distribution in time; therefore, there are certain differences in the usage patterns of different seasons in the same place, so in an alternative embodiment, China can be divided into seven geographical regions: Northeast China, East China, North China, Central China, South China, Southwest China, and Northwest China. The year is divided into spring (March-May), Summer (June-August), and Autumn (9). From November to November and from winter (December to February), in the above steps, air conditioners in seven areas can be obtained in turn. In three years, historical data in four time periods will be obtained. 27 sets of historical data.

It should be noted that the above seven geographical areas and four time periods are only used for examples, and how to divide the geographical area and the time period is not specifically limited.

In step S104, the historical data is analyzed to determine the probability of occurrence of each character in the historical data.

Specifically, the character may be a hexadecimal character, which is a character corresponding to the data to be transmitted, and the correspondence between the data to be transmitted and the character is determined by a protocol between the DTU and the processor.

The probability that the above characters appear may be the ratio of the number of times a character appears in a set of historical data to the total number of characters in the set of historical data.

For air conditioners in the same geographical area, the data in a time period will have a probability distribution, so the probability of occurrence of each character can be analyzed based on historical data.

Step S106: Generate, according to the probability of occurrence of each character, a sub-coding table for encoding the to-be-transmitted data of the target device of the preset geographic area in a preset time period, where the probability of each character appearing in the historical data It is inversely proportional to the length of the corresponding coded symbol in the subcode table.

Specifically, the foregoing sub-coding table may be a Huffman coding table.

In the foregoing step S106, when the sub-encoding table of the preset time period is generated according to the probability of occurrence of the character, the short-encoding symbol is assigned to the character with high probability of occurrence, and the probability of occurrence is long. Characters are assigned longer coding symbols, so that the amount of data can be greatly reduced.

FIG. 2 is a schematic diagram of generating a sub-encoding table according to an embodiment of the present application. As shown in FIG. 2, the left side is a character probability distribution, and the right side is a sub-coding table. In a set of historical data, for the character "00", the proportion of all characters, that is, the probability of occurrence is 27.4640%, which is the character with the highest probability of occurrence, so the corresponding coded symbol is "10", that is, the shortest one code. symbol. For the character "AA", the probability of occurrence is 11.451%, which is the second character with the probability of occurrence, so it corresponds to the code symbol "010". The coded symbols corresponding to other characters in Fig. 2 can be deduced by analogy, and also conform to the law of probability and length of coded symbols.

As can be seen from the above, the foregoing embodiment of the present application acquires historical data of the target device in a preset time period, where the target device is in a preset geographic area; analyzing historical data to determine a probability of occurrence of each character in the historical data; Generating, according to the probability of occurrence of each character, a sub-coding table for encoding the data to be transmitted of the target device of the preset geographical area in a preset time period, wherein the probability and character of each character appearing in the historical data are The length of the corresponding coded symbol in the sub-code table is inversely proportional. The above solution determines the probability of occurrence of each character in the data of the target device in each geographical area in different time periods by using historical data, thereby obtaining the data law of the target device in different geographical regions in different time periods, and then according to this The law determines the corresponding coding symbol for the character, and achieves the purpose of reducing the amount of data. When the DTU data transmission cost is fixed, the DTU data transmission cost is reduced, and the transmission cost of the home appliance through the DTU is higher. Technical problem.

Optionally, according to the foregoing embodiment of the present application, the preset geographic area is multiple, and the preset time period is multiple, and the target device for the preset geographic area is generated according to the probability of occurrence of each character. After the sub-coding table of the data to be transmitted in the time period is encoded, the method further includes:

Step S108, the first coding table is formed by the plurality of sub-coding tables of the plurality of preset time segments according to the target devices of the plurality of preset geographic regions.

Step S1010: Write the first encoding table to the data communication unit of the target device, wherein the data communication unit of the target device encodes the data to be transmitted using the first encoding table to obtain an encoding result.

Specifically, the data communication unit may be a DTU, and the DTU has a positioning function, and transmits data to the server through the GPRS. The server is a central server or a central server cluster set at the remote end, and is used for fault maintenance of remote monitoring of the air conditioner according to data transmitted by the DTU.

When the air conditioner is shipped from the factory, it is not known where the air conditioner is sold, so all the sub-code tables are formed into a first code table, and the first sub-code table is written into the data communication unit, and the first code table is the current one. Optimal coding table.

It should be noted that since the server sends the first coding table to the DTU, the first coding table is maintained in both the DTU and the server. Therefore, when the DTU sends data, the DTU does not carry the header, and the server can be found according to the decoding. The target sub-code table is decoded. In particular, when the DTU needs to perform a small amount of data reporting, the problem of "small big data in the header" existing in the conventional compression coding mode is solved, so that the data does not need to carry a large header to be transmitted together, thereby further reducing the amount of data to be transmitted. This reduces the cost of data transfer.

Optionally, the method further includes: after the first code table is written into the data communication unit of the target device, according to the foregoing embodiment of the present application, the method further includes:

Step S112: Acquire a coding result sent by the data communication unit, a geographical area where the target device is located, and a time period to which the current time belongs.

Specifically, the data processing unit has a positioning function. When the data processing unit encodes the data to be transmitted before transmitting the data, it searches for a sub-coding table corresponding to the geographical area where the air conditioner is located and the time period to which the current time belongs (ie, the following The target sub-coding table is encoded. Therefore, when the server receives the encoding result, it also needs to obtain the geographical area where the target device is located and the time period to which the current time belongs, so that it can determine which sub-encoding table is used to decode the encoding result.

In an optional embodiment, the encoding result is sent by the data communication unit of the air conditioner and received by the server. The current time may be the time when the server receives the encoded result, and the geographical area where the air conditioner is located may be sent by the data communication unit of the air conditioner.

Step S114: Search for a corresponding target sub-code table in the first coding table according to the geographical area where the target device is located and the time period to which the current time belongs.

Specifically, the first coding table includes a sub-coding table of a plurality of preset geographic regions in a plurality of preset time segments, so that one of the two regions of the geographical area and the current time period in which the air-conditioning corresponding to the coding result is located may determine one A target subcode table for decoding the encoded result.

3 is a schematic diagram of a determination target sub-coding table according to an embodiment of the present application. In an optional embodiment, the geographical area is two geographical regions of the south and the north, and the time period includes spring (3- Four periods of May, June (June to August), Autumn (September-November), and Winter (December-February), so a first code table includes 8 sub-code tables, and 8 sub-code tables respectively. For the southern air conditioning in the spring, summer, autumn and winter four

sub-codes

1, 2, 3, 4 and the northern air conditioning in the spring, summer, autumn and winter four

sub-codes

5, 6, 7, 8 .

As shown in FIG. 3, for the multi-connection 1 located in the northeast, the corresponding sub-encoding table in January is Table 4, so after receiving the encoding result, the server decodes the encoding result according to Table 4; Online 2, the corresponding sub-encoding table in August is Table 6, so after receiving the encoding result, the server decodes the encoding result according to Table 6; for the multi-connection 3 located in Shenzhen, the corresponding sub-encoding in April The table is Table 5, so after receiving the encoding result, the server decodes the encoding result according to Table 5.

In the above embodiment, the first encoding table may be stored in a database, and the server searches for a corresponding target sub-coding table from the database for decoding.

Step S116, decoding the encoded result according to the target sub-coding table.

In an optional embodiment, each sub-coding table in the first coding table is a Huffman coding table, so after determining the target sub-coding table, Huffman coding may be adopted by target sub-coding. The table decodes the encoded result.

Optionally, after the first coding table is configured by using the sub-coding table of the target device in the preset time zone according to the foregoing embodiment of the present application, the method further includes:

Step S118: Acquire a preset period, where the period includes a plurality of preset time periods.

Specifically, since the climate is changed in a cycle of one year, the habit of using the air conditioner by the user is also changed according to the climate, so the above cycle may be one year.

In step S120, when one cycle is cut off, the first coding table is optimized according to historical data in the cycle.

Specifically, although the climate in the same season is similar every year, the habits of users using air conditioners are similar, but as the climate of the earth changes, there may be different trends every year. Therefore, the above steps optimize the first coding table using the historical data of the most recent cycle.

In an alternative embodiment, January 2017 is the beginning of a cycle, and by January 2018, the cycle is closed. The server then uses the historical data acquired during this period to optimize the first coding table in the previous data transmission unit. As shown in FIG. 3, the server periodically optimizes the first coding table to ensure that the first coding table used for coding and decoding is the optimal coding table.

Optionally, according to the foregoing embodiment of the present application, when a period is cut off, the first coding table is optimized according to historical data in the period, including:

Step S121, constructing a second coding table of the period according to the probability that each character appears in the historical data in the period.

Specifically, the second coding table is constructed in the same manner as the first coding table, except that the historical data used is historical data in different periods.

Step S125, if the average code length of the second coding table is shorter than the average code length of the first coding table, determine that the second coding table is the first coding table in the next cycle, and send the second coding table to the target device. Data transfer unit.

In the above step S125, determining that the second coding table is the first coding table in the next cycle, that is, determining that the second coding table is the current optimal coding table, and in the next cycle, using the second coding table to compile the data. decoding.

Specifically, when the second coding table is sent to the data transmission unit of the target device, the entire table of the second coding table may be sent to the data transmission unit of each target device, or the target device may be belonged according to the geographical area to which the target device belongs. The geographical area is sent to the data transmission unit in a sub-coding table of a plurality of preset time periods.

If the average code length of the second coding table is shorter than the average code length of the first coding table, it indicates that the second coding table is better than the first coding table, that is, the second coding table is the current optimal coding table, and thus the second coding is determined. The table is the first coding table in the next period. If the average code of the second code table is longer than the average code length of the first code table, the first coding table is better than the second coding table, and the first coding table is still not The optimal coding table, so the first coding table is still coded and decoded in the next cycle.

In the above solution, the server continues to analyze the second coding table according to the big data to optimize the first coding table, and sends the second coding table to the DTU if the second coding table is better than the first coding table. So that the server and the DTU side dynamically maintain this table and make this table always the optimal coding table.

Example 2

According to an embodiment of the present invention, an embodiment of a data processing method of a device is provided. FIG. 4 is a data processing method of a device according to an embodiment of the present application. As shown in Figure 4, the method includes:

Step S41, the first coding table is obtained, where the first coding table includes a sub-coding table of the target device of the preset geographic area in a preset time period, and the length of the coding symbol corresponding to the character in the sub-coding table corresponds to the character in the sub-coding table. The probability of occurrence in historical data is inversely proportional.

Specifically, the foregoing first coding table may be constructed by the server according to the historical data, and is written before the DTU leaves the factory. The manner in which the server constructs the first coding table may be to first construct a target device of each preset geographic area in each pre-preparation. Set the rest of the sub-code table, and then combine the multiple sub-code tables into a single table. The manner in which the server constructs the subcode table can be as shown in Embodiment 1.

In the above step S41, each sub-code table has a corresponding geographical area and a corresponding time period, and the historical data corresponding to the sub-code table is historical data for constructing the sub-code table, that is, a preset geographical area corresponding to the sub-code table. The historical data of the target device within the corresponding preset time period.

Step S43, encoding the data to be transmitted according to the first coding table.

Specifically, the data to be transmitted is the data detected by each sensor in the air conditioner acquired by the DTU, and other data that needs to be transmitted to the server. The timing at which the DTU transmits data to the server may be a transmission period set in the DTU for remote monitoring of the operation of the air conditioner by the server, or data transmitted in order to enable the server to perform failure analysis when the air conditioner generates a failure.

As can be seen from the above, the foregoing embodiment obtains the first coding table, where the first coding table includes a sub-coding table of the target device of the preset geographic area in a preset time period, and the length of the coding symbol corresponding to the character in the sub-coding table is The probability that the character appears in the historical data corresponding to the sub-code table is inversely proportional, and the data to be transmitted is encoded according to the first coding table. In the above solution, both the server and the DTU maintain a first coding table, and the DTU uses the first coding table to encode the data, thereby reducing the amount of data and solving the transmission of the home appliance when transmitting data through the DTU in the prior art. Higher technical issues.

Optionally, according to the foregoing embodiment of the present application, the data to be transmitted is encoded according to the first coding table, including:

Step S431: Obtain a geographic area corresponding to the location where the target device is located and a time period to which the current time belongs.

Step S433, searching for a corresponding target sub-code table from the first coding table according to the geographical area and the time period.

Step S435, encoding the data to be transmitted according to the target sub-coding table.

FIG. 3 is a schematic diagram of a determination target sub-coding table according to an embodiment of the present application. In an optional embodiment, the geographical area is two geographical regions of the south and the north, and the time period includes spring (3-5). Month), summer (June to August), autumn (September-November), and winter (December-February) four time periods, so a first coding table includes 8 sub-code tables, and 8 sub-code tables are respectively Sub-codes 1, 2, 3, 4 of the air conditioning in the four seasons of spring, summer, autumn and winter and sub-codes 5, 6, 7, and 8 of the four periods of spring, summer, autumn and winter.

As shown in FIG. 3, for the multi-connection 1 located in the northeast, the corresponding sub-code table in January is Table 4, so the data of the DTU of the multi-line 1 is encoded and transmitted to the server using Table 4; Multi-line 2, the corresponding sub-code table in August is Table 6, so the data of the DTU of the multi-line 1 is encoded and transmitted to the server using Table 6; for the multi-line 3 located in Shenzhen, corresponding in April The sub-encoding table is shown in Table 5, so the data of the DTU of the multi-line 1 is encoded using Table 5 and transmitted to the server.

Optionally, according to the foregoing embodiment of the present application, before the encoding the data to be transmitted according to the first encoding table, the method further includes:

Step S45, detecting whether a second encoding table sent by the server for updating the first encoding table is received.

In the foregoing step S45, if the average code length of the second coding table is shorter than the average code length of the first coding table, the server determines that the second coding table is the first coding table in the next cycle, as shown in step S125. And transmitting the second code table to the data transmission unit of the target device. That is, if the average code length of the second coding table is shorter than the average code length of the first coding table, the DTU receives the second coding table transmitted by the server.

Step S47, if the second encoding table is received, the first encoding table is replaced with the second encoding table.

If the server sends the second coding table to the DTU, it is determined that the second coding table is better than the first coding table, in which case the DTU replaces the first coding table with the second coding table, so that the DTU can always maintain the most Excellent coding table and can always be encoded using the optimal coding table.

It should be noted that, in the foregoing step S47, when the DTU replaces the first coding table by using the second coding table, the entire table of the second coding table may be replaced with the first coding table, or In the second coding table, the sub-coding table of the geographical area where the air conditioner is located replaces the sub-coding table of the geographical area where the target device is located in the first coding table.

In an optional embodiment, the geographical area to which the air conditioner belongs is the East China region. Therefore, when the first coding table is optimized, the second coding table may be used, and the East China region has four children in the four seasons of spring, summer, autumn and winter. The coding table replaces the four sub-code tables of the East China region in the first coding table in the four seasons of spring, summer, autumn and winter.

FIG. 5 is a schematic diagram of encoding a DTU to be transmitted according to an embodiment of the present application. As shown in FIG. 5, in an optional embodiment, encoding a DTU to transmit data may include the following steps. :

S51, obtaining time.

Specifically, the above time is the time when the DTU is about to encode the data.

S52, obtaining an address.

Specifically, the above address is the address of the air conditioner.

S53, DTU data acquisition.

Specifically, the data collected by the DTU may be data detected by the sensor of the air conditioner.

S54, look up the coding table.

When the air conditioner is just shipped from the factory, the first code table generated by the DTU is pre-stored. During use, the server may also update the first code table according to the newly generated second code table, so the code table found in the above step is The most recently updated codelist.

S55. Determine whether the current coding table is an optimal coding table. If the determination result is yes, the process proceeds to step S56, otherwise, the process proceeds to step S55.

In the above step S55, if the server updates the coding table in the DTU, the original coding table found is not the optimal coding table, and needs to be searched again. If the server does not update the DTU terminal coding table, it finds The coding table is the optimal coding table, and the process proceeds to step S56.

S56, using the searched code for data encoding.

Specifically, the coding table may be Huffman coding, and the coding mode may also use Huffman coding.

S57, transmitting the encoded result.

In the above steps, the DTU transmits the encoded result to the server.

It should be noted that, in the above embodiment, the DTUs of the air conditioners of various places transmit data to the server, and the server can perform a new round of statistical analysis on the massive data in addition to monitoring and fault diagnosis of each air conditioner according to the data. The statistical analysis includes spatial analysis (the geographical area to which the air conditioner generating the data belongs), time analysis (time of generating the data), and protocol analysis (the protocol used to generate the data), and comprehensively analyzing the results to generate a new Huffman code. a table (ie, a second coding table), and when the predetermined optimization period is reached, determining whether to replace the original coding table (ie, the first coding table) in the DTU with the newly generated coding table, the principle of the judgment is that the newly generated coding Whether the average code length of the table is shorter than the average code length of the original code table.

Example 3

An embodiment of a data processing apparatus of an apparatus according to an embodiment of the present invention is provided. FIG. 6 is a schematic diagram of a data processing apparatus of a device according to an embodiment of the present application. As shown in FIG. 6, the apparatus includes:

The first obtaining module 60 is configured to acquire historical data of the target device within a preset time period, where the target device is in the preset geographic area.

The analysis module 62 is configured to analyze the historical data to determine the probability of occurrence of each character in the historical data.

The generating module 64 is configured to generate, according to the probability of occurrence of each character, a sub-coding table for encoding the data to be transmitted of the target device of the preset geographical area in a preset time period, wherein each character is in the historical data. The probability of occurrence is inversely proportional to the length of the corresponding coded symbol in the subcode table.

Example 4

An embodiment of a data processing apparatus of an apparatus according to an embodiment of the present invention is provided. FIG. 7 is a schematic diagram of a data processing apparatus of a device according to an embodiment of the present application. As shown in FIG. 7, the apparatus includes:

The second obtaining module 70 is configured to obtain a first encoding table, where the first encoding table includes a sub-coding table of the target device of the preset geographic area in a preset time period, and the length and character of the encoding symbol corresponding to the characters in the sub-coding table The probability of occurrence in the historical data corresponding to the sub-code table is inversely proportional.

The encoding module 72 is configured to encode the data to be transmitted according to the first encoding table.

Example 5

According to an embodiment of the present invention, a storage medium is provided, where the storage medium includes a stored program, wherein, when the program is running, the data processing method of the device in which the storage medium is executed is executed, or the data of the device in Embodiment 2 is controlled. Approach.

Example 6

According to an embodiment of the present invention, there is provided a processor for executing a program, wherein the data processing method of the device of Embodiment 1 or the data processing method of the device of Embodiment 2 is executed when the program is running.

The serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

In the above-mentioned embodiments of the present invention, the descriptions of the various embodiments are different, and the parts that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed technical contents may be implemented in other manners. The device embodiments described above are only schematic. For example, the division of the unit may be a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, unit or module, and may be electrical or otherwise.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .

The above description is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Industrial applicability

As described above, the data processing method and apparatus of the apparatus provided by at least some embodiments of the present application have the following beneficial effects: determining, by historical data, a probability that each target character of each geographical area appears in data of different time periods, thereby Obtaining the data law of the target devices in different geographical regions in different time periods, and then determining the corresponding coding symbols for the characters according to the law, thereby achieving the purpose of reducing the amount of data, and reducing the DTU data transmission cost. The DTU data transmission cost solves the technical problem of high transmission cost when the home appliance transmits data through the DTU in the prior art.

Claims

A data processing method for a device, comprising:

Obtaining historical data of the target device in a preset time period, wherein the target device is in a preset geographic area;

Performing analysis on the historical data to determine a probability of occurrence of each character in the historical data;

Generating, according to the probability of occurrence of each character, a sub-coding table for encoding the data to be transmitted of the target device of the preset geographic area in the preset time period, where each of the characters is in the The probability of occurrence in the historical data is inversely proportional to the length of the corresponding coded symbol in the sub-code table.
The method according to claim 1, wherein the preset geographical area is plural, and the preset time period is plural, and is generated for the preset according to a probability of occurrence of each character. After the target device of the geographic area is encoded by the sub-coded table of the data to be transmitted in the preset time period, the method further includes:

Determining, by the target device of the plurality of the preset geographic regions, a first coding table in a plurality of sub-coding tables of the plurality of preset time segments;

Writing the first code table to the data communication unit of the target device, wherein the data communication unit of the target device encodes the data to be transmitted using the first coding table to obtain a coding result.
The method of claim 2, wherein after the first encoding table is written to the data communication unit of the target device, the method further comprises:

Obtaining, by the data communication unit, the coding result, a geographical area where the target device is located, and a time period to which the current time belongs;

Searching, in the first coding table, a corresponding target sub-code table according to a geographical area where the target device is located and a time period to which the current time belongs;

The encoded result is decoded according to the target sub-coding table.
The method according to claim 2, wherein after the first coding table is formed by the plurality of sub-code tables of the plurality of the predetermined time periods according to the target device of the plurality of the predetermined geographical areas, the method further comprises :

Obtaining a preset period, wherein the period includes a plurality of preset time periods;

When one of the periods is cut off, the first coding table is optimized according to historical data in the period.
The method according to claim 4, wherein, when one of the periods is cut off, the first encoding table is optimized according to historical data in the period, including:

Constructing a second coding table of the period according to a probability of occurrence of each character in the historical data in the period;

Obtaining an average code length of the second coding table and an average code length of the first coding table;

If the average code length of the second coding table is shorter than the average code length of the first coding table, determining that the second coding table is the first coding table in the next cycle, and the second coding table A data transmission unit that is sent to the target device.
A data processing method for a device, comprising:

Obtaining a first coding table, where the first coding table includes a sub-coding table of a target device of a preset geographic area in a preset time period, and a length of the coded symbol corresponding to the character in the sub-coding table and the character is in the The probability of occurrence in the historical data corresponding to the sub-coding table is inversely proportional;

The data to be transmitted is encoded according to the first coding table.
The method of claim 6, wherein encoding the data to be transmitted according to the first encoding table comprises:

Obtaining a geographic area corresponding to the location where the target device is located and a time period to which the current time belongs;

Searching, according to the geographic area and the time period, a corresponding target sub-code table from the first coding table;

And encoding the data to be transmitted according to the target sub-coding table.
The method according to claim 6, wherein before the encoding of the data to be transmitted according to the first encoding table, the method further comprises:

Detecting whether a second code table sent by the server for updating the first code table is received;

If the second encoding table is received, the first encoding table is replaced with the second encoding table.
A data processing device for a device, comprising:

a first acquiring module, configured to acquire historical data of the target device in a preset time period, where the target device is in a preset geographic area;

An analysis module configured to analyze the historical data to determine a probability of occurrence of each character in the historical data;

a generating module, configured to generate, according to a probability of occurrence of each character, a sub-coding table for encoding, by the target device of the preset geographic area, the data to be transmitted in the preset time period, where The probability that each character appears in the historical data is inversely proportional to the length of the corresponding encoded symbol in the sub-code table.
A data processing device for a device, comprising:

a second obtaining module, configured to obtain a first encoding table, where the first encoding table includes a sub-encoding table of a target device of a preset geographic area in a preset time period, and an encoding symbol corresponding to the character in the sub-encoding table The length is inversely proportional to the probability that the character appears in the historical data corresponding to the sub-coding table;

And an encoding module configured to encode the data to be transmitted according to the first encoding table.
A storage medium, comprising: a stored program, wherein, when the program is running, controlling a target device in which the storage medium is located to perform a data processing method of the device according to any one of claims 1 to 5, or A data processing method of the device according to any one of claims 6 to 8.
A processor, the processor being configured to execute a program, wherein the program is executed to execute a data processing method of the device according to any one of claims 1 to 5, or any one of claims 6 to 8. The data processing method of the device.