CN110138839B - Internet of things address fast searching method based on eight-Diagram-array binary tree arrangement of book of changes - Google Patents

Abstract

The invention discloses a quick searching method for addresses of internet of things based on eight trigrams of book of changes array binary tree arrangement, which comprises the following steps: constructing an eight-diagram array binary tree of the book of changes and arranging the addresses of the Internet of things according to the eight-diagram array binary tree of the book of changes; the method for searching the Internet of things address according to the eight diagrams array binary tree of the book of changes comprises the following steps: 1. converting the Internet of things address into a binary form, and judging whether the last bit of the Internet of things address is an odd number or an even number; 2. judging the number of layers of the address corresponding to the eight-diagram array binary tree from the address digits of the Internet of things; 3. and determining the position of the searched physical address according to the eight-diagram-array binary tree family formula and the corresponding layer number. The invention can quickly and conveniently search the physical address of the singlechip by three steps of operation.

Description

A Fast Search Method for Internet of Things Addresses Based on I Ching Bagua Array Binary Tree Arrangement

technical field

The invention relates to the field of Internet of Things address search in the field of computer networks, in particular to a fast search method for Internet of Things addresses based on I Ching gossip array binary tree arrangement.

Background technique

The Book of Changes is a precious cultural heritage of the Chinese nation. It contains people's ideological understanding, philosophical concepts and dialectics of the universe and life society in ancient times. Many major discoveries and breakthroughs in modern science, such as binary, atomic structure, biological genetic DNA and other disciplinary concepts, can be found in the corresponding patterns and philosophical thinking from the changes in the gossip and sixty-four trigrams.

The change of the hexagram and Yao painting of Taiji map is relative to the hexagram of innate gossip. The order of the hexagrams in the Tai Chi map: Gan 1, Dui 2, Li 3, Zhen 4, Xun 5, Kan 6, Gen 7, Kun 8. When the Arabic numerals "0" and "1" are used to replace "Yin Yao" and "Yang Yao" from top to bottom, the order of the hexagrams in the Taiji diagram also follows the binary algorithm, from Gan to Kun follows binary addition, and from Kun to Qian follows binary subtraction.

Therefore, it is certain that the creator of Taijitu understood the binary progressive relationship in the innate gossip, and thus regularly rearranged the order of the congenital gossip (the order of the symbols of the Zen-changed trigrams), and restated the The binary progression relation of the hexagram and Yao symbols. It was not until Leibniz that the mystery of the "Book of Changes" was revealed, that is, the two symbols used by Fuxi were actually the basic elements of binary. The Taiji map provides circumstantial evidence that binary is also one of the original meanings of Zhouyi.

The Book of Changes is the earliest extant philosophical monograph in ancient my country. The hexagram symbol of "Book of Changes" is a strict and orderly symbol system composed of yin and yang lines as the basic symbols. Now let the Yang Yao be replaced by the Arabic numeral "1", and the Yin Yao by the Arabic numeral "0". According to the rule of hexagrams, "1" and "0" are used to replace the "Yang Yao" in each hexagram of the Eight Diagrams from bottom to top. And "Yin Yao", namely: Qian Gua is B0111, Dui Gua is B11l0, Li Gua is B1101, and so on.

Obviously, the ancient gossip sequence followed the binary algorithm, from Gan Yi, Dui Er, to Kun Ba followed binary addition. The intersection of the eight trigrams is the sixty-four trigrams. The sixty-four trigrams also have two basic operations of binary arithmetic, namely addition and subtraction arithmetic operations, so the symbol system of the sixty-four trigrams also belongs to the binary arithmetic.

The Internet of Things provides the conditions for mining fuzzy big data. A large amount of data contains a large amount of Internet of Things information transmission. However, a lot of information in fuzzy big data is inaccurate. many. But these overall data are very valuable, and the tools that make these values emerge from the bottom of the iceberg are data mining, such as applying Newton's law in statistics, the normal distribution. Mining and exploration through massive data is actually predicting a new meaning. This new meaning of forecasting is like the image, number, reason, and accounting in the "Book of Changes". Models are used to deduce and reveal the laws of motion of the essence of things.

Today, in the era of explosive data growth, the amount of data is not a problem. What is important is to determine which dimensions of data need to be counted in the vast data. When the amount of data is large, there will be all kinds of data that seem to obey the normal distribution. There must be enough resolution to not be overwhelmed by the data. It is necessary to distinguish which ones are potentially related to the communication industry. The most important thing in front is the information communication of the Internet of Things, and it is necessary to solve the problem of quickly searching for the physical address communication of the Internet of Things.

Modern technology has entered the era of big data and the Internet of Things. The buzzword of the Internet of Things is closely related to computer embedded systems. The big data of the Internet of Things has grown exponentially. Humans use gossip and Hetu Luoshu to realize "Internet of Things big data", and now use computers to achieve "Internet of Things big data" information communication. The "heart" used to store big data is actually the human brain, which is now entrusted to computers, which can collect, process, and store information such as explosive growth. This information has the potential to create enormous value for science.

The application fields of computer-embedded Internet of Things systems include: industrial control, medical instruments, digital homes, consumer electronics, automotive electronics, wireless communications, positioning and navigation, intelligent robots and other fields. For example, home appliances such as refrigerators and washing machines use single-chip microcomputers to form embedded systems, which are connected to mobile phones or servers through the Internet of Things to realize remote control of home appliances. Controlling multiple home appliances requires fast search speed, less data transmission, reliable performance and low cost. This is a control scheme for thousands of embedded microcontrollers.

There are many types of single-chip microcomputers, from low-end to high-end, there are 8-bit single-chip microcomputers represented by 51 and 32-bit single-chip microcomputers represented by ARM. Different grades of single-chip microcomputers have different methods for implementing network interfaces. For high-end processors such as ARM, embedded operating systems, such as embedded Linux, can generally be run. As for how to implement network access for single-chip microcomputers without operating system requirements, these solutions can be classified into two categories according to the difference of TCP/IP protocol stacks: the first type is the traditional software TCP/IP protocol stack solution; the second type is the latest The hardware TCP/IP protocol stack solution.

The Internet of Things adopts the ZigBee protocol, and the inter-city network communication can be realized by ordinary single-chip microcomputers. Of course, the telecommunications mobile phone card load is required to realize the wide-area Internet solution. ZigBee is a WPAN network that establishes a wireless connection for devices within a short range, and connects multiple devices within a range of several meters to tens of meters through wireless means, so that they can communicate with each other and even access the LAN or the Internet. Through the mobile phone telecommunication card, the inter-city Internet of Things communication can be realized.

ZigBee targets WPAN networks. Committed to short-range, low complexity, low data rate, low cost wireless network technology. ZigBee technology is used in commercial electronics, residential and intelligent buildings, industrial equipment monitoring, PC peripherals, medical sensing equipment, toys and games and other wireless sensing and control fields. The ZigBee goal is to be able to build scalable, low-cost embedded infrastructures based on interoperable platforms and profiles.

The MAC code of the physical address of the network card is allocated by a unique fixed address in the world of the TCP/IP protocol. Manufacturers without certification and authorization have no right to produce network cards. Each network card has a fixed card number, and any network card produced by a regular manufacturer is directly marked with the card number, generally a group of 12-digit hexadecimal numbers. The first 6 digits represent the manufacturer of the network card.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a fast search method for Internet of Things addresses based on I Ching Bagua array binary tree arrangement. The invention can quickly search and link the physical address of the single-chip microcomputer with three-step operation, and realize the Internet of Things communication through the single-chip microcomputer interface.

The object of the present invention can be realized through the following technical solutions:

A method for quickly searching Internet of Things addresses based on I Ching gossip array binary tree arrangement, comprising the steps of:

Build the I-Ching Bagua Array binary tree and arrange the IoT addresses according to the I-Ching Bagua Array binary tree;

Search IoT addresses according to the I Ching Bagua Array binary tree, including:

1. Convert the IoT address into binary form, and determine whether the last digit of the IoT address is odd or even;

2. Judging the number of layers in the binary tree of the gossip array corresponding to the address from the number of IoT addresses;

3. Determine the location of the searched physical address according to the binary tree family formula of the Bagua array and the number of corresponding layers.

Specifically, the I Ching Bagua array binary tree structure constructed is:

The gossip is related to the binary tree arrangement in mathematics. The sixty-four trigrams are exactly the complete binary numbers of the 64 natural numbers from 0 to 63 to form the gossip array binary tree arrangement diagram:

The first layer is Taiji; the second layer is Liangyi, (B10) represents Yin, (B01) represents Yang; the third layer is Sixiang, (B100) represents Laoyin, (B101) represents Shaoyang, (B110) represents Shaoyin and (B111) represent Laoyang; the fourth layer is gossip, which are Kun (B1000), Gen (B1001), Kan (B1010), Xun (B1011), Zhen (B1100), Li (B1101), Dui ( B1110), dry (B1111); the fifth layer is the number of sixteen phases, from 15 (B01111) to 30 (B11110); the sixth layer is the number of thirty-two phases, from 31 (B011111) to 62 (B111110) ; The seventh layer is the sixty-four hexagrams, from 63 (B0111111) to 126 (B1111110); B represents binary.

In the present invention, the physical address query area of the gossip array binary tree is communicated point-to-point by the single-chip microcomputer and the server. Each device has a definite physical address. The physical address follows the device and is embedded in the single-chip microcomputer. The addressing range is sent by the internal register address of the single-chip microcomputer. It is connected to the server through Ethernet communication. To the microcontroller real-time monitoring equipment. The physical address of the microcontroller is converted from binary values into Asics codes for transmission.

The binary weight table of the binary tree of the Bagua Array is shown in Table 1. In the weight table, the number of layers (series) refers to the weight corresponding to the 2 ⁿ power exponent, which is called the range of the power exponent of n. At the same time, the number of layers ( series) is the addressing range of the layer in which it is located. In the octagram array binary tree corresponding to the decimal value, the physical address addressing range is incremented by the power of 2 ⁿ . For example, when n=6, the addressing is addressed from 63 to 126 absolute addresses, and this address has a total of 64 physical address values. .

Table 1

The present invention can be extended to 2 ⁿ addressing range, n tends to a finite value, and the specific value is determined by the number of physical address bits addressed by the single-chip microcomputer.

Specifically, the family formula can be deduced according to the binary tree arrangement of the gossip array. The family formula has regularity: every time a layer is expanded, 2 ⁿ families will be added, so 2 ⁿ family formulas will be added, where n corresponds to the layer. (level) weight. In the present invention, the relationship between the family formula and the layer (level) of the binary tree arrangement of the Bagua array is shown in Table 2, and the new family formula of n layers can be extended.

Table 2

serial number Layer (N-level) formula 2ⁿ power weight Number of family formulas 1 N=1 2¹=2 2 formulas 2 N=2 2²=4 4 formulas 3 N=3 2³=8 8 formulas 4 N=4 2⁴=16 16 formulas 5 N=5 2⁵=32 32 formulas 6 N=6 2⁶=64 64 formulas … … … …

The current derivation is N=6 levels, and a total of 64 family formulas have been derived.

Specifically, when n=6, the I Ching gossip array binary tree has 64 families, so the calculation formula of the families in the I Ching gossip array binary tree constructed is as follows:

Sort by odd and even numbers

Odd numbers (from left to right):

χ ₁ =2 ⁿ -1, n≥1

χ ₂ =2 ⁿ⁺¹ -33, n≥5

χ ₃ =2 ⁿ +15, n≥5

χ ₄ =2 ⁿ⁺¹ -17, n≥4

χ ₅ =2 ⁿ +7, n≥4

χ ₆ =2 ⁿ⁺¹ -25, n≥5

χ ₇ =2 ⁿ +23, n≥5

χ ₈ =2 ⁿ⁺¹ -9, n≥3

χ ₉ =2 ⁿ +3, n≥3

χ ₁₀ =2 ⁿ⁺¹ -29, n≥5

χ ₁₁ =2 ⁿ +19, n≥5

χ ₁₂ =2 ⁿ⁺¹ -13, n≥4

χ ₁₃ =2 ⁿ +11, n≥4

χ ₁₄ =2 ⁿ⁺¹ -21, n≥5

χ ₁₅ =2 ⁿ +27, n≥5

χ ₁₆ =2 ⁿ⁺¹ -5, n≥2

χ ₁₇ =2 ⁿ⁺¹ +1, n≥2

χ ₁₈ =2 ⁿ⁺¹ -31, n≥5

χ ₁₉ =2 ⁿ +17, n≥5

χ ₂₀ =2 ⁿ⁺¹ -15, n≥4

χ ₂₁ =2 ⁿ +9, n≥4

χ ₂₂ =2 ⁿ⁺¹ -23, n≥5

χ ₂₃ =2 ⁿ +25, n≥5

χ ₂₄ =2 ⁿ⁺¹ -7, n≥3

χ ₂₅ =2 ⁿ +5, n≥3

χ ₂₆ =2 ⁿ⁺¹ -27, n≥5

χ ₂₇ =2 ⁿ +21, n≥5

χ ₂₈ =2 ⁿ⁺¹ -11, n≥4

χ ₂₉ =2 ⁿ +13, n≥4

χ ₃₀ =2 ⁿ⁺¹ -19, n≥5

χ ₃₁ =2 ⁿ +29, n≥5

χ ₃₂ =2 ⁿ⁺¹ -3, n≥1

Even numbers (from left to right):

χ ₃₃ =2 ⁿ +0, n≥1

χ ₃₄ =2 ⁿ⁺¹ -32, n≥5

χ ₃₅ =2 ⁿ +16, n≥5

χ ₃₆ =2 ⁿ⁺¹ -16, n≥4

χ ₃₇ =2 ⁿ +8, n≥4

χ ₃₈ =2 ⁿ⁺¹ -24, n≥5

χ ₃₉ =2 ⁿ⁺¹ -24, n≥5

χ ₄₀ =2 ⁿ⁺¹ -8, n≥3

χ ₄₁ =2 ⁿ +4, n≥3

χ ₄₂ =2 ⁿ⁺¹ -28, n≥5

χ ₄₃ =2 ⁿ +20, n≥5

χ ₄₄ =2 ⁿ⁺¹ -10, n≥4

χ ₄₅ =2 ⁿ +12, n≥4

χ ₄₆ =2 ⁿ⁺¹ -20, n≥5

χ ₄₇ =2 ⁿ +28, n≥5

χ ₄₈ =2 ⁿ⁺¹ -4, n≥2

χ ₄₉ =2 ⁿ +2, n≥2

χ ₅₀ =2 ⁿ⁺¹ 30, n≥5

χ ₅₁ =2 ⁿ +18, n≥5

χ ₅₂ =2 ⁿ⁺¹ -16, n≥4

χ ₅₃ =2 ⁿ +10, n≥4

χ ₅₄ =2 ⁿ⁺¹ -22, n≥5

χ ₅₅ =2 ⁿ +26, n≥5

χ ₅₆ =2 ⁿ⁺¹ -6, n≥3

χ ₅₇ =2 ⁿ +6, n≥3

χ ₅₈ =2 ⁿ⁺¹ -26, n≥5

χ ₅₉ =2 ⁿ +22, n≥5

χ ₆₀ =2 ⁿ⁺¹ -12, n≥4

χ ₆₁ =2 ⁿ +14, n≥4

χ ₆₂ =2 ⁿ⁺¹ -18, n≥5

χ ₆₃ =2 ⁿ +30, n≥5

χ ₆₄ =2 ⁿ⁺¹ -2, n≥1

Among them, χ _i represents the calculation formula corresponding to the ith family, and n represents the number of layers (series).

Compared with the prior art, the present invention has the following beneficial effects:

1. In order to solve the transmission efficiency of the Internet of Things, the present invention proposes to use the I Ching Bagua array binary tree arrangement method to quickly search the Internet of Things, so that the physical address of the single-chip microcomputer can be quickly and conveniently found in three steps.

Description of drawings

Fig. 1 is the structure schematic diagram of the I Ching gossip array binary tree in the present invention.

FIG. 2 is a schematic diagram of an odd-numbered array in which the I Ching Bagua array binary tree is arranged in an array according to the present invention.

FIG. 3 is a schematic diagram of an even-numbered array of the I Ching gossip array binary tree arrangement in the present invention.

Detailed ways

The present invention will be described in further detail below with reference to the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

Example

A method for quickly searching Internet of Things addresses based on I Ching gossip array binary tree arrangement, comprising the steps of:

Build the I-Ching Bagua Array binary tree and arrange the IoT addresses according to the I-Ching Bagua Array binary tree;

Search IoT addresses according to the I Ching Bagua Array binary tree, including:

1. Convert the IoT address into binary form, and determine whether the last digit of the IoT address is odd or even;

2. Judging the number of layers in the binary tree of the gossip array corresponding to the address from the number of IoT addresses;

3. Determine the location of the searched physical address according to the binary tree family formula of the Bagua array and the number of corresponding layers.

In this embodiment, the constructed I Ching Bagua array binary tree structure is shown in Figure 1, specifically:

The gossip is related to the binary tree arrangement in mathematics. The sixty-four trigrams are exactly the complete binary numbers of the 64 natural numbers from 0 to 63 to form the gossip array binary tree arrangement diagram:

The first layer is Taiji; the second layer is Liangyi, (B10) represents Yin, (B01) represents Yang; the third layer is Sixiang, (B100) represents Laoyin, (B101) represents Shaoyang, (B110) represents Shaoyin and (B111) represent Laoyang; the fourth layer is gossip, which are Kun (B1000), Gen (B1001), Kan (B1010), Xun (B1011), Zhen (B1100), Li (B1101), Dui ( B1110), dry (B1111); the fifth layer is the number of sixteen phases, from 15 (B01111) to 30 (B11110); the sixth layer is the number of thirty-two phases, from 31 (B011111) to 62 (B111110) ; The seventh layer is the sixty-four hexagrams, from 63 (B0111111) to 126 (B1111110).

The structures of the odd-numbered array and the even-numbered array of the I Ching gossip array binary tree are respectively shown in FIG. 2 and FIG. 3 .

Specifically, the family formula can be deduced according to the binary tree arrangement of the gossip array. The family formula has regularity: every time a layer is expanded, 2 ⁿ families will be added, so 2 ⁿ family formulas will be added, where n corresponds to the layer. (level) weight. In the present invention, the relationship between the family formula and the layer (level) of the binary tree arrangement of the Bagua array is shown in Table 2, and the new family formula of n layers can be extended.

The current derivation is N=6 levels, and a total of 64 family formulas have been derived.

Specifically, when n=6, the I Ching gossip array binary tree has 64 families, so the calculation formula of the families in the I Ching gossip array binary tree constructed is as follows:

Sort by odd and even numbers

Odd numbers (from left to right):

χ ₁ =2 ⁿ -1, n≥1

χ ₂ =2 ⁿ⁺¹ -33, n≥5

χ ₃ =2 ⁿ +15, n≥5

χ ₄ =2 ⁿ⁺¹ -17, n≥4

χ ₅ =2 ⁿ +7, n≥4

χ ₆ =2 ⁿ⁺¹ -25, n≥5

χ ₇ =2 ⁿ +23, n≥5

χ ₈ =2 ⁿ⁺¹ -9, n≥3

χ ₉ =2 ⁿ +3, n≥3

χ ₁₀ =2 ⁿ⁺¹ -29, n≥5

χ ₁₁ =2 ⁿ +19, n≥5

χ ₁₂ =2 ⁿ⁺¹ -13, n≥4

χ ₁₃ =2 ⁿ +11, n≥4

χ ₁₄ =2 ⁿ⁺¹ -21, n≥5

χ ₁₅ =2 ⁿ +27, n≥5

χ ₁₆ =2 ⁿ⁺¹ -5, n≥2

χ ₁₇ =2 ⁿ⁺¹ +1, n≥2

χ ₁₈ =2 ⁿ⁺¹ -31, n≥5

χ ₁₉ =2 ⁿ +17, n≥5

χ ₂₀ =2 ⁿ⁺¹ -15, n≥4

χ ₂₁ =2 ⁿ +9, n≥4

χ ₂₂ =2 ⁿ⁺¹ -23, n≥5

χ ₂₃ =2 ⁿ +25, n≥5

χ ₂₄ =2 ⁿ⁺¹ -7, n≥3

χ ₂₅ =2 ⁿ +5, n≥3

χ ₂₆ =2 ⁿ⁺¹ -27, n≥5

χ ₂₇ =2 ⁿ +21, n≥5

χ ₂₈ =2 ⁿ⁺¹ -11, n≥4

χ ₂₉ =2 ⁿ +13, n≥4

χ ₃₀ =2 ⁿ⁺¹ -19, n≥5

χ ₃₁ =2 ⁿ +29, n≥5

χ ₃₂ =2 ⁿ⁺¹ -3, n≥1

Even numbers (from left to right):

χ ₃₃ =2 ⁿ +0, n≥1

χ ₃₄ =2 ⁿ⁺¹ -32, n≥5

χ ₃₅ =2 ⁿ +16, n≥5

χ ₃₆ =2 ⁿ⁺¹ -16, n≥4

χ ₃₇ =2 ⁿ +8, n≥4

χ ₃₈ =2 ⁿ⁺¹ -24, n≥5

χ ₃₉ =2 ⁿ⁺¹ -24, n≥5

χ ₄₀ =2 ⁿ⁺¹ -8, n≥3

χ ₄₁ =2 ⁿ +4, n≥3

χ ₄₂ =2 ⁿ⁺¹ -28, n≥5

χ ₄₃ =2 ⁿ +20, n≥5

χ ₄₄ =2 ⁿ⁺¹ -10, n≥4

χ ₄₅ =2 ⁿ +12, n≥4

χ ₄₆ =2 ⁿ⁺¹ -20, n≥5

χ ₄₇ =2 ⁿ +28, n≥5

χ ₄₈ =2 ⁿ⁺¹ -4, n≥2

χ ₄₉ =2 ⁿ +2, n≥2

χ ₅₀ =2 ⁿ⁺¹ 30, n≥5

χ ₅₁ =2 ⁿ +18, n≥5

χ ₅₂ =2 ⁿ⁺¹ -16, n≥4

χ ₅₃ =2 ⁿ +10, n≥4

χ ₅₄ =2 ⁿ⁺¹ -22, n≥5

χ ₅₅ =2 ⁿ +26, n≥5

χ ₅₆ =2 ⁿ⁺¹ -6, n≥3

χ ₅₇ =2 ⁿ +6, n≥3

χ ₅₈ =2 ⁿ⁺¹ -26, n≥5

χ ₅₉ =2 ⁿ +22, n≥5

χ ₆₀ =2 ⁿ⁺¹ -12, n≥4

χ ₆₁ =2 ⁿ +14, n≥4

χ ₆₂ =2 ⁿ⁺¹ -18, n≥5

χ ₆₃ =2 ⁿ +30, n≥5

χ ₆₄ =2 ⁿ⁺¹ -2, n≥1

Among them, χ _i represents the calculation formula corresponding to the ith family, and n represents the number of layers (series).

In this embodiment, 239 is converted into binary, 239=B11101111, (1) because the end is an odd number, the absolute address is on the left side of the “Bagua Array Binary Tree General Map”; (2) B11101111 binary is 8 bits, in the seventh layer, Take n=7. In the odd-numbered formula, choose "sort by layer (N-level)" to take N=4, choose formula (17) among the 16 formulas, χ ₄ =2 ⁿ⁺¹ -17, n≥4......(17), put Substitute n=7 into formula (17), and the calculation result is 239. Analysis: Formula (17) is established in the fourth layer. According to the family, it can be seen that there are data: 15=B01111; 47=B101111; 111=B1101111; , from these data, it can be seen that B01111 is the same family of binary data, add the number in front of one layer and add 1, add the data in front of the second layer and add 11, and so on. According to the recursive formula law, the physical address is searched according to the recursive formula. As long as the binary digits and the odd and even numbers at the end are given, the layer number and position of the physical address can be determined, and the physical address search of the embedded chip is convenient and fast.

The above-mentioned embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited by the above-mentioned embodiments, and any other changes, modifications, substitutions, combinations, The simplification should be equivalent replacement manners, which are all included in the protection scope of the present invention.

Claims (1)

1. A quick search method for addresses of the Internet of things based on eight diagrams array binary tree arrangement of the book of changes is characterized by comprising the following steps:

constructing an eight-diagram array binary tree of the book of changes and arranging the addresses of the Internet of things according to the eight-diagram array binary tree of the book of changes;

the structure of the eight diagrams array binary tree of the book of changes is as follows:

the first layer is Tai Ji; the second layer is two-dimensional, (B10) represents negative, (B01) represents positive; the third layer is four elephants, (B100) represents old yin, (B101) represents shaoyang, (B110) represents shaoyin, (B111) represents old yang; the fourth layer is the eight trigrams, namely Kun (B1000), gentry (B1001), Kan (B1010), Sun (B1011), Sha (B1100), Lio (B1101), Zhan (B1110) and Gan (B1111); the fifth layer is sixteen-phase, from 15(B01111) to 30(B11110), respectively; the sixth layer is a thirty-two phase number, from 31(B011111) to 62(B111110), respectively; the seventh layer is the sixty-four trigrams, 63(B0111111) to 126(B1111110), respectively; b represents a binary system;

the method for searching the Internet of things address according to the eight diagrams array binary tree of the book of changes comprises the following steps:

(1) converting the Internet of things address into a binary form, and judging whether the last bit of the Internet of things address is an odd number or an even number;

(2) judging the number of layers of the address corresponding to the eight-diagram array binary tree from the address digits of the Internet of things;

(3) determining the position of the searched physical address according to the eight-diagram array binary tree family formula and the corresponding layer number;

when n is 6, the eight trigrams array binary tree of Yi Jing has 64 families, and the eight trigrams array binary tree family formula is specifically as follows:

arranged in odd and even categories

The odd portions are arranged from left to right:

χ₁＝2ⁿ-1，n≥1

χ₂＝2ⁿ⁺¹-33，n≥5

χ₃＝2ⁿ+15，n≥5

χ₄＝2ⁿ⁺¹-17，n≥4

χ₅＝2ⁿ+7，n≥4

χ₆＝2ⁿ⁺¹-25，n≥5

χ₇＝2ⁿ+23，n≥5

χ₈＝2ⁿ⁺¹-9，n≥3

χ₉＝2ⁿ+3，n≥3

χ₁₀＝2ⁿ⁺¹-29，n≥5

χ₁₁＝2ⁿ+19，n≥5

χ₁₂＝2ⁿ⁺¹-13，n≥4

χ₁₃＝2ⁿ+11，n≥4

χ₁₄＝2ⁿ⁺¹-21，n≥5

χ₁₅＝2ⁿ+27，n≥5

χ₁₆＝2ⁿ⁺¹-5，n≥2

χ₁₇＝2ⁿ⁺¹+1，n≥2

χ₁₈＝2ⁿ⁺¹-31，n≥5

χ₁₉＝2ⁿ+17，n≥5

χ₂₀＝2ⁿ⁺¹-15，n≥4

χ₂₁＝2ⁿ+9，n≥4

χ₂₂＝2ⁿ⁺¹-23，n≥5

χ₂₃＝2ⁿ+25，n≥5

χ₂₄＝2ⁿ⁺¹-7，n≥3

χ₂₅＝2ⁿ+5，n≥3

χ₂₆＝2ⁿ⁺¹-27，n≥5

χ₂₇＝2ⁿ+21，n≥5

χ₂₈＝2ⁿ⁺¹-11，n≥4

χ₂₉＝2ⁿ+13，n≥4

χ₃₀＝2ⁿ⁺¹-19，n≥5

χ₃₁＝2ⁿ+29，n≥5

χ₃₂＝2ⁿ⁺¹-3，n≥1

the even portions are arranged from left to right:

χ₃₃＝2ⁿ+0，n≥1

χ₃₄＝2ⁿ⁺¹-32，n≥5

χ₃₅＝2ⁿ+16，n≥5

χ₃₆＝2ⁿ⁺¹-16，n≥4

χ₃₇＝2ⁿ+8，n≥4

χ₃₈＝2ⁿ⁺¹-24，n≥5

χ₃₉＝2ⁿ⁺¹-24，n≥5

χ₄₀＝2ⁿ⁺¹-8，n≥3

χ₄₁＝2ⁿ+4，n≥3

χ₄₂＝2ⁿ⁺¹-28，n≥5

χ₄₃＝2ⁿ+20，n≥5

χ₄₄＝2ⁿ⁺¹-10，n≥4

χ₄₅＝2ⁿ+12，n≥4

χ₄₆＝2ⁿ⁺¹-20，n≥5

χ₄₇＝2ⁿ+28，n≥5

χ₄₈＝2ⁿ⁺¹-4，n≥2

χ₄₉＝2ⁿ+2，n≥2

χ₅₀＝2ⁿ⁺¹30，n≥5

χ₅₁＝2ⁿ+18，n≥5

χ₅₂＝2ⁿ⁺¹-16，n≥4

χ₅₃＝2ⁿ+10，n≥4

χ₅₄＝2ⁿ⁺¹-22，n≥5

χ₅₅＝2ⁿ+26，n≥5

χ₅₆＝2ⁿ⁺¹-6，n≥3

χ₅₇＝2ⁿ+6，n≥3

χ₅₈＝2ⁿ⁺¹-26，n≥5

χ₅₉＝2ⁿ+22，n≥5

χ₆₀＝2ⁿ⁺¹-12，n≥4

χ₆₁＝2ⁿ+14，n≥4

χ₆₂＝2ⁿ⁺¹-18，n≥5

χ₆₃＝2ⁿ+30，n≥5

χ₆₄＝2ⁿ⁺¹-2，n≥1

wherein, χ_iThe calculation formula corresponding to the ith family is shown, and n represents the number of layers.

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