CN112820039A - Intelligent logistics express storage cabinet based on block chain - Google Patents
Intelligent logistics express storage cabinet based on block chain Download PDFInfo
- Publication number
- CN112820039A CN112820039A CN202110168142.9A CN202110168142A CN112820039A CN 112820039 A CN112820039 A CN 112820039A CN 202110168142 A CN202110168142 A CN 202110168142A CN 112820039 A CN112820039 A CN 112820039A
- Authority
- CN
- China
- Prior art keywords
- resistor
- image
- data
- operational amplifier
- block chain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees
Abstract
The invention provides an intelligent logistics express delivery storage cabinet based on a block chain, which comprises a cabinet body, a main control computer, a display, a code scanning device, a data receiver, a block chain storage area, a data analyzer and a cabinet controller, wherein the main control computer comprises an image acquisition sensor, an image processor, a temperature acquisition sensor, a signal processor, a data memory and a data transmitter, the temperature information of a pickup person is acquired through the temperature acquisition sensor so as to avoid picking up a pickup by using a photo and the like, the image acquisition sensor is used for acquiring the image of the pickup person after the temperature test is passed, and then the image acquisition person is checked with pickup person information in the block chain storage area, so that the pickup efficiency is greatly improved, and the pickup precision is greatly improved by using the signal processor and the image processor.
Description
Technical Field
The invention relates to the field of logistics, in particular to an intelligent logistics express storage cabinet based on a block chain.
Background
With the rapid development of digital economy, the application of informatization technology in the traditional industry is increasingly wide, and deep changes are brought to a plurality of traditional industries. The intelligent logistics is a product of modern logistics development in the information era, organically integrates the technologies of the Internet of things, the sensor network and the Internet, realizes the science, the fineness and the reliability of the logistics management process, and forms an automatic, intelligent, visual and networked logistics supply chain and a management system. As the leading-edge modern information technology, the block chain technology is gradually tried in the field of intelligent logistics, but whether the two are applicable or not needs to be further researched.
The block chain is equivalent to a database book, and all information is safely and completely recorded. The more specialized blockchain technical explanation is that a distributed database in which different nodes participate together is equivalent to an open public account book. Blocks are formed through data packets, and transaction information in different time periods is realized and linked through encrypted hash value calculation, so that a block chain is formed. As a new emerging information technology, the block chain technology has the characteristics of decentralization, distrust, transparence and the like, so that the block chain technology has the basis of being applied in more fields. First, the blockchain has the characteristic of being not tampered, which is equivalent to a database book for recording all information. When each user in the whole system records own file, the file authentication information before and after the user can ensure that the whole file system can not be changed, and the file sequence is recorded really. Secondly, the blockchain has the characteristic of improving efficiency. In the block chain, the files are collected into blocks, the whole block can be connected, the files in each block are not linked with each other through a nonlinear structure but through a tree structure, and the time and the workload required by people to search for a specific file in the whole system are greatly reduced. Thirdly, the block chain also has the characteristic of contract execution automation. The system utilizes a series of intelligent contracts with software codes to define obligations and judgment conditions which should be fulfilled by each party, thereby realizing the automatic judgment of the system on contract execution conditions, particularly having indivisible property, and well meeting the safety requirement.
In the prior art, in the last kilometer of logistics, the express cabinet is not combined with the block link, and a user still needs to use mobile equipment such as a mobile phone and the like to take a package, so that the safety is low, and the efficiency is not high.
Disclosure of Invention
Therefore, in order to overcome the above problems, the present invention provides an intelligent logistics express delivery storage cabinet based on a block chain, which includes a cabinet body, a main control computer, a display, a code scanning device, a data receiver, a block chain storage area, a data analyzer, and a cabinet controller, wherein the main control computer includes an image acquisition sensor, an image processor, a temperature acquisition sensor, a signal processor, a data storage, and a data transmitter.
The output end of the image acquisition sensor is connected with the input end of the image processor, the output end of the temperature acquisition sensor is connected with the input end of the signal processor, the output end of the image processor is connected with the output end of the signal processor and the input end of the data storage, the output end of the data storage is connected with the input end of the data transmitter, the output end of the data receiver is connected with the input end of the block chain storage area, the output end of the block chain storage area is connected with the input end of the data analyzer, and the input end of the data analyzer is connected with the input end of the cabinet controller.
Wherein, the image acquisition sensor is used for acquiring the image information of a pickup person, the image acquisition sensor transmits the acquired image information to the image processor, the image processor performs image processing on the received image information and then transmits the image information to the data memory, the temperature acquisition sensor is used for acquiring the temperature information of the pickup person, the temperature acquisition sensor is used for transmitting the acquired temperature information to the signal processor, the signal processor performs signal processing on the received temperature information and then transmits the processed temperature information to the data memory, the data memory stores a temperature threshold range, if the temperature information received by the data memory is not in the temperature threshold range, the data transmitter transmits pickup failure information to the display, if the temperature information received by the data memory is in the temperature threshold range, the data storage transmits image information inside thereof to the data receiver through the data transmitter, the data receiver transmits the received image information to the block chain storage area, the block chain storage area stores the image information of all the persons to be picked up, the data analyzer reads the image information of all the persons to be picked up in the block chain storage area, compares the read information with the received image information one by one, if the read information and the received image information are in accordance with each other, the data analyzer sends a cabinet opening signal to the cabinet controller, the cabinet controller controls the cabinet body to open a corresponding cabinet door, if not, and the data analyzer transmits a pickup failure signal to the display, and a worker can enter the control system of the main control computer through the code scanning device to set parameters of the main control computer.
Specifically, the image acquisition sensor is used for acquiring image information of a person picking up a piece, the image acquisition sensor transmits the acquired image information to the image processor, and the image processor performs image processing on the received image information and then transmits the processed image information to the data storage, wherein the image processor processes the image in the following steps:
the method comprises the following steps: the image processor performs edge extraction on the image information f (x, y) acquired by the image acquisition sensor.
Step two: dividing the image edge into four regions, namely a first region f1(x, y), second region f2(x, y) and a third region f3(x, y) and a fourth region f4(x,y)。
Step three: detect the firstRegion f1The size of (x, y) is m1×n1Detecting said second area f2Each pixel point of (x, y) is aiDetecting the third region f3The size of (x, y) is m2×n2Detecting said fourth area f4Each pixel point of (x, y) is biTo obtain first fusion-region image information p (x, y) and first fusion-region image information q (x, y), then,
wherein, aiWherein i is in the range of [1, c1]∪[c1,c]，biWherein i is in the range of [1, d1]∪[d1,d]。
Step four: deriving an image s (x, y) from said first fusion region image information p (x, y) and said first fusion region image information q (x, y), then,
Step five: transmitting the image s (x, y) to the data storage.
Specifically, the signal processor comprises a first resistor R1, a second resistor R2, a third resistor R3, a fourth resistor R4, a fifth resistor R5, a sixth resistor R6, a seventh resistor R7, an eighth resistor R8, a ninth resistor R9, a first capacitor C1, a second capacitor C2, a third capacitor C3, a first operational amplifier A1 and a second operational amplifier A2.
Wherein an output end of the temperature-collecting sensor is connected to a first end of the third capacitor C3, a first end of the ninth resistor R9 is connected to a first end of the seventh resistor R7, a second end of the third capacitor C3 is connected to a second end of the ninth resistor R9, a first end of the first resistor R1 is grounded, a second end of the first resistor R1 is connected to a first end of the ninth resistor R9, a second end of the first resistor R1 is connected to a first end of the seventh resistor R7, a second end of the seventh resistor R7 is connected to a first end of the eighth resistor R8, a second end of the seventh resistor R7 is connected to an inverting input end of the first operational amplifier a1, a first end of the second resistor R2 is grounded, a second end of the second resistor R2 is connected to a first end of the sixth resistor R6, and a second end of the sixth resistor R6 is connected to a non-inverting input end of the first operational amplifier R1, a second end of the second resistor R2 is connected to a first end of the third resistor R3, a second end of the eighth resistor R8 is connected to a first end of the second capacitor C2, a second end of the second capacitor C2 is connected to an output end of the first operational amplifier a1, a second end of the third resistor R3 is connected to an output end of the second operational amplifier a2, a first end of the fourth resistor R4 is connected to an output end of the first operational amplifier a1, a first end of the fifth resistor R5 is connected to an output end of the first operational amplifier a1, a second end of the fourth resistor R4 is connected to an inverting input end of the second operational amplifier a2, a second end of the fifth resistor R5 is connected to an inverting input end of the second operational amplifier a2, a non-inverting input end of the second operational amplifier a2 is grounded, and a second end of the fourth resistor R4 is connected to a first end of the first capacitor C1, the second terminal of the first capacitor C1 is connected to the output terminal of the second operational amplifier a2, and the output terminal of the second operational amplifier a2 is connected to the input terminal of the data memory.
Specifically, a temperature threshold range is stored in the data memory, and the temperature threshold range is 36.2-37.5 ℃.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides an intelligent logistics express delivery storage cabinet based on a block chain, which comprises a cabinet body, a main control computer, a display, a code scanning device, a data receiver, a block chain storage area, a data analyzer and a cabinet controller, wherein the main control computer comprises an image acquisition sensor, an image processor, a temperature acquisition sensor, a signal processor, a data storage and a data transmitter, the temperature information of a pickup person is acquired through the temperature acquisition sensor so as to avoid picking up a pickup piece by using a photo and the like, the image acquisition sensor is used for acquiring the image of the pickup person after the temperature test is passed, and then the image acquisition person is checked with pickup person information stored in the block chain storage area, so that the pickup efficiency is greatly improved.
Drawings
Fig. 1 is a structural diagram of an intelligent logistics express delivery storage cabinet based on a block chain according to the invention;
fig. 2 is a schematic diagram of a main control computer of the intelligent logistics express delivery storage cabinet based on the block chain;
Fig. 3 is a schematic diagram of an acquired processing system of the intelligent logistics express delivery storage cabinet based on the block chain according to the invention;
fig. 4 is a schematic diagram of a signal processor according to the present invention.
Reference numerals: 1-a cabinet body; 2-a main control machine; 3-a display; 4-code scanning device.
Detailed Description
The intelligent logistics express delivery storage cabinet based on the block chain is described in detail below with reference to the accompanying drawings and embodiments.
As shown in fig. 1 to 3, the intelligent logistics express delivery storage cabinet based on a block chain provided by the invention comprises a cabinet body 1, a main control computer 2, a display 3, a code scanning device 4, a data receiver, a block chain storage area, a data analyzer and a cabinet controller, wherein the main control computer 2 comprises an image acquisition sensor, an image processor, a temperature acquisition sensor, a signal processor, a data storage and a data transmitter.
The output end of the image acquisition sensor is connected with the input end of the image processor, the output end of the temperature acquisition sensor is connected with the input end of the signal processor, the output end of the image processor is connected with the output end of the signal processor and the input end of the data storage, the output end of the data storage is connected with the input end of the data transmitter, the output end of the data receiver is connected with the input end of the block chain storage area, the output end of the block chain storage area is connected with the input end of the data analyzer, and the input end of the data analyzer is connected with the input end of the cabinet controller.
Wherein, the image acquisition sensor is used for acquiring the image information of a pickup person, the image acquisition sensor transmits the acquired image information to the image processor, the image processor performs image processing on the received image information and then transmits the image information to the data memory, the temperature acquisition sensor is used for acquiring the temperature information of the pickup person, the temperature acquisition sensor is used for transmitting the acquired temperature information to the signal processor, the signal processor performs signal processing on the received temperature information and then transmits the processed temperature information to the data memory, the data memory stores a temperature threshold range, if the temperature information received by the data memory is not in the temperature threshold range, the data transmitter transmits pickup failure information to the display 3, and if the temperature information received by the data memory is in the temperature threshold range, the data storage transmits image information inside thereof to the data receiver through the data transmitter, the data receiver transmits the received image information to the block chain storage area, the block chain storage area stores the image information of all the persons to be picked up, the data analyzer reads the image information of all the persons to be picked up in the block chain storage area, compares the read information with the received image information one by one, if the read information and the received image information are in accordance with each other, the data analyzer sends a cabinet opening signal to the cabinet controller, the cabinet controller controls the cabinet body 1 to open a corresponding cabinet door, if not, the data analyzer transmits a pickup failure signal to the display 3, and a worker can enter the control system of the main control machine 2 through the code scanning device 4 to set parameters of the main control machine 2.
In the above embodiment, the intelligent logistics express delivery storage cabinet based on the block chain provided by the invention comprises a cabinet body, a main control computer, a display, a code scanning device, a data receiver, a block chain storage area, a data analyzer and a cabinet controller, wherein the main control computer comprises an image acquisition sensor, an image processor, a temperature acquisition sensor, a signal processor, a data memory and a data transmitter, the temperature information of the pickup person is collected by the temperature collecting sensor so as to avoid using photos and the like for pickup, after the temperature test is passed, the image acquisition sensor is used for acquiring the image of the pickup person, and then the image is checked with the pickup person information stored in the block chain storage area, so that the pickup efficiency is greatly improved, the invention also discloses a method for acquiring the workpiece by using the image processor.
Further, the image acquisition sensor is used for acquiring image information of the pickup person, the image acquisition sensor transmits the acquired image information to the image processor, and the image processor performs image processing on the received image information and then transmits the processed image information to the data storage, wherein the image processor processes the image in the following steps:
The method comprises the following steps: the image processor carries out edge extraction on the image information f (x, y) acquired by the image acquisition sensor;
step two: dividing the image edge into four regions, namely a first region f1(x, y), second region f2(x, y) and a third region f3(x, y) and a fourth region f4(x,y)；
Step three: detecting the first region f1The size of (x, y) is m1×n1Detecting said second area f2Each pixel point of (x, y) is aiDetecting the third region f3The size of (x, y) is m2×n2Detecting said fourth area f4Each pixel point of (x, y) is biTo obtain first fusion-region image information p (x, y) and first fusion-region image information q (x, y), then,
wherein, aiWherein i is in the range of [1, c1]∪[c1,c]，biWherein i is in the range of [1, d1]∪[d1,d]；
Step four: deriving an image s (x, y) from said first fusion region image information p (x, y) and said first fusion region image information q (x, y), then,
step five: transmitting the image s (x, y) to the data storage.
As shown in fig. 4, the signal processor includes a first resistor R1, a second resistor R2, a third resistor R3, a fourth resistor R4, a fifth resistor R5, a sixth resistor R6, a seventh resistor R7, an eighth resistor R8, a ninth resistor R9, a first capacitor C1, a second capacitor C2, a third capacitor C3, a first operational amplifier a1, and a second operational amplifier a 2.
Wherein an output end of the temperature-collecting sensor is connected to a first end of the third capacitor C3, a first end of the ninth resistor R9 is connected to a first end of the seventh resistor R7, a second end of the third capacitor C3 is connected to a second end of the ninth resistor R9, a first end of the first resistor R1 is grounded, a second end of the first resistor R1 is connected to a first end of the ninth resistor R9, a second end of the first resistor R1 is connected to a first end of the seventh resistor R7, a second end of the seventh resistor R7 is connected to a first end of the eighth resistor R8, a second end of the seventh resistor R7 is connected to an inverting input end of the first operational amplifier a1, a first end of the second resistor R2 is grounded, a second end of the second resistor R2 is connected to a first end of the sixth resistor R6, and a second end of the sixth resistor R6 is connected to a non-inverting input end of the first operational amplifier R1, a second end of the second resistor R2 is connected to a first end of the third resistor R3, a second end of the eighth resistor R8 is connected to a first end of the second capacitor C2, a second end of the second capacitor C2 is connected to an output end of the first operational amplifier a1, a second end of the third resistor R3 is connected to an output end of the second operational amplifier a2, a first end of the fourth resistor R4 is connected to an output end of the first operational amplifier a1, a first end of the fifth resistor R5 is connected to an output end of the first operational amplifier a1, a second end of the fourth resistor R4 is connected to an inverting input end of the second operational amplifier a2, a second end of the fifth resistor R5 is connected to an inverting input end of the second operational amplifier a2, a non-inverting input end of the second operational amplifier a2 is grounded, and a second end of the fourth resistor R4 is connected to a first end of the first capacitor C1, the second terminal of the first capacitor C1 is connected to the output terminal of the second operational amplifier a2, and the output terminal of the second operational amplifier a2 is connected to the input terminal of the data memory.
Furthermore, the resistance of the first resistor R1 is 100 Ω, the resistance of the second resistor R2 is 100 Ω, the resistance of the third resistor R3 is 99.9k Ω, the resistance of the fourth resistor R4 is 220k Ω, the resistance of the fifth resistor R5 is 220k Ω, the resistance of the sixth resistor R6 is 1k Ω, the resistance of the seventh resistor R7 is 1k Ω, the resistance of the eighth resistor R8 is 9.9k Ω, and the resistance of the ninth resistor R9 is 999k Ω.
The capacitance of the first capacitor C1 is 5 μ F, the capacitance of the second capacitor C2 is 33nF, and the capacitance of the third capacitor C3 is 1 nF.
In the above embodiment, by using the servo loop, the measurement process can be greatly simplified, forcing the amplifier input to zero, so that the first operational amplifier a1 can measure its own error. Fig. 4 shows the multifunctional circuit, which uses a second operational amplifier a2 as an integrator to create a stable loop with very high dc open loop gain.
The circuit shown in fig. 4 can minimize most of the measurement errors and support accurate measurement of a large number of dc and a small number of ac parameters. The additional second operational amplifier a2 need not have better performance than the first operational amplifier a1, and its dc open loop gain can reach 106 or more. If the offset voltage of the first operational amplifier A1 may exceed a few mV, the second operational amplifier A2 is powered by a 15V power supply (if the input offset voltage of the first operational amplifier A1 exceeds 10 mV, the resistance of the 99.9k Ω resistor R3 needs to be reduced.)
The second operational amplifier a2, which is an integrator, is configured to be open-loop (highest gain) at dc, but its input resistance and feedback capacitance limit its bandwidth to a few Hz. This means that the DC voltage at the output of the first operational amplifier A1 is amplified by the second operational amplifier A2 with the highest gain and applied to the non-inverting input of the first operational amplifier A1 through a 1000:1 attenuator. Negative feedback drives the first operational amplifier a1 output to ground. (in fact, the actual voltage is the offset voltage of the second operational amplifier a2, more precisely this offset voltage plus the voltage drop caused by the bias current of the second operational amplifier a2 over the 100 k Ω resistance, but it is very close to ground potential and therefore insignificant, especially considering that the voltage variation at this point during the measurement may not be as great as more than a few mV).
Further, a temperature threshold range is stored in the data storage, and the temperature threshold range is 36.2-37.5 ℃.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and are not limited. Although the present invention has been described in detail with reference to the embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (4)
1. The intelligent logistics express storage cabinet based on the block chain is characterized by comprising a cabinet body (1), a main control machine (2), a display (3), a code scanning device (4), a data receiver, a block chain storage area, a data analyzer and a cabinet controller, wherein the main control machine (2) comprises an image acquisition sensor, an image processor, a temperature acquisition sensor, a signal processor, a data storage and a data transmitter;
the output end of the image acquisition sensor is connected with the input end of the image processor, the output end of the temperature acquisition sensor is connected with the input end of the signal processor, the output end of the image processor and the output end of the signal processor are both connected with the input end of the data storage, the output end of the data storage is connected with the input end of the data transmitter, the output end of the data receiver is connected with the input end of the block chain storage area, the output end of the block chain storage area is connected with the input end of the data analyzer, and the input end of the data analyzer is connected with the input end of the cabinet controller;
Wherein the image acquisition sensor is used for acquiring the image information of a pickup person, the image acquisition sensor is used for transmitting the acquired image information to the image processor, the image processor is used for processing the image of the received image information and then transmitting the processed image information to the data memory, the temperature acquisition sensor is used for acquiring the temperature information of the pickup person, the temperature acquisition sensor is used for transmitting the acquired temperature information to the signal processor, the signal processor is used for processing the received temperature information and then transmitting the processed temperature information to the data memory, the data memory is stored with a temperature threshold range, if the temperature information received by the data memory is not in the temperature threshold range, the data transmitter is used for transmitting pickup failure information to the display (3), and if the temperature information received by the data memory is in the temperature threshold range, the data storage transmits image information inside thereof to the data receiver through the data transmitter, the data receiver transmits the received image information to the block chain storage area, the block chain storage area stores the image information of all the persons to be picked up, the data analyzer reads the image information of all the persons to be picked up in the block chain storage area, compares the read information with the received image information one by one, if the read information and the received image information are in accordance with each other, the data analyzer sends a cabinet opening signal to the cabinet controller, the cabinet controller controls the cabinet body (1) to open a corresponding cabinet door, if not, the data analyzer transmits a pickup failure signal to the display (3), and a worker can enter the control system of the main control computer (2) through the code scanning device (4) to set parameters of the main control computer (2).
2. The intelligent logistics express delivery storage cabinet based on the block chain as claimed in claim 1, wherein the image acquisition sensor is used for acquiring image information of a person picking up the item, the image acquisition sensor transmits the acquired image information to the image processor, the image processor performs image processing on the received image information and then transmits the processed image information to the data storage, wherein the image processor performs the following steps of processing the image:
the method comprises the following steps: the image processor carries out edge extraction on the image information f (x, y) acquired by the image acquisition sensor;
step two: dividing the image edge into four regions, namely a first region f1(x, y), second region f2(x, y) and a third region f3(x, y) and a fourth region f4(x,y)；
Step three: detecting the first region f1The size of (x, y) is m1×n1Detecting said second area f2Each pixel point of (x, y) is aiDetecting the third region f3The size of (x, y) is m2×n2Detecting said fourth area f4Each pixel point of (x, y) is biTo obtain first fusion-region image information p (x, y) and first fusion-region image information q (x, y), then,
wherein, aiWherein i is in the range of [1, c 1]∪[c1,c]，biWherein i is in the range of [1, d1]∪[d1,d]；
Step four: deriving an image s (x, y) from said first fusion region image information p (x, y) and said first fusion region image information q (x, y), then,
step five: transmitting the image s (x, y) to the data storage.
3. The intelligent logistics express delivery storage cabinet based on the block chain as claimed in claim 1, wherein the signal processor comprises a first resistor R1, a second resistor R2, a third resistor R3, a fourth resistor R4, a fifth resistor R5, a sixth resistor R6, a seventh resistor R7, an eighth resistor R8, a ninth resistor R9, a first capacitor C1, a second capacitor C2, a third capacitor C3, a first operational amplifier A1 and a second operational amplifier A2;
wherein an output end of the temperature-collecting sensor is connected to a first end of the third capacitor C3, a first end of the ninth resistor R9 is connected to a first end of the seventh resistor R7, a second end of the third capacitor C3 is connected to a second end of the ninth resistor R9, a first end of the first resistor R1 is grounded, a second end of the first resistor R1 is connected to a first end of the ninth resistor R9, a second end of the first resistor R1 is connected to a first end of the seventh resistor R7, a second end of the seventh resistor R7 is connected to a first end of the eighth resistor R8, a second end of the seventh resistor R7 is connected to an inverting input end of the first operational amplifier a1, a first end of the second resistor R2 is grounded, a second end of the second resistor R2 is connected to a first end of the sixth resistor R6, and a second end of the sixth resistor R6 is connected to a non-inverting input end of the first operational amplifier R1, a second end of the second resistor R2 is connected to a first end of the third resistor R3, a second end of the eighth resistor R8 is connected to a first end of the second capacitor C2, a second end of the second capacitor C2 is connected to an output end of the first operational amplifier a1, a second end of the third resistor R3 is connected to an output end of the second operational amplifier a2, a first end of the fourth resistor R4 is connected to an output end of the first operational amplifier a1, a first end of the fifth resistor R5 is connected to an output end of the first operational amplifier a1, a second end of the fourth resistor R4 is connected to an inverting input end of the second operational amplifier a2, a second end of the fifth resistor R5 is connected to an inverting input end of the second operational amplifier a2, a non-inverting input end of the second operational amplifier a2 is grounded, and a second end of the fourth resistor R4 is connected to a first end of the first capacitor C1, the second terminal of the first capacitor C1 is connected to the output terminal of the second operational amplifier a2, and the output terminal of the second operational amplifier a2 is connected to the input terminal of the data memory.
4. The intelligent logistics express delivery storage cabinet based on the block chain as claimed in claim 1, wherein a temperature threshold range is stored in the data storage, and the temperature threshold range is 36.2-37.5 ℃.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110168142.9A CN112820039B (en) | 2021-02-07 | 2021-02-07 | Intelligent logistics express storage cabinet based on block chain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110168142.9A CN112820039B (en) | 2021-02-07 | 2021-02-07 | Intelligent logistics express storage cabinet based on block chain |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112820039A true CN112820039A (en) | 2021-05-18 |
| CN112820039B CN112820039B (en) | 2022-07-29 |
Family
ID=75862189
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110168142.9A Active CN112820039B (en) | 2021-02-07 | 2021-02-07 | Intelligent logistics express storage cabinet based on block chain |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112820039B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699511A (en) * | 2009-10-30 | 2010-04-28 | 深圳创维数字技术股份有限公司 | Color image segmentation method and system |
| CN108121977A (en) * | 2018-01-08 | 2018-06-05 | 深圳天珑无线科技有限公司 | A kind of mobile terminal and its living body faces recognition methods and system |
| CN108764224A (en) * | 2018-08-17 | 2018-11-06 | 勿识（深圳）智能硬件有限公司 | In vivo detection face identification device, method and system |
| CN109658627A (en) * | 2018-12-13 | 2019-04-19 | 深圳桓轩科技有限公司 | A kind of Intelligent logistics pickup system based on block chain |
| CN111179199A (en) * | 2019-12-31 | 2020-05-19 | 展讯通信（上海）有限公司 | Image processing method, device and readable storage medium |
| CN111311711A (en) * | 2020-02-16 | 2020-06-19 | 拉扎斯网络科技（上海）有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
-
2021
- 2021-02-07 CN CN202110168142.9A patent/CN112820039B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699511A (en) * | 2009-10-30 | 2010-04-28 | 深圳创维数字技术股份有限公司 | Color image segmentation method and system |
| CN108121977A (en) * | 2018-01-08 | 2018-06-05 | 深圳天珑无线科技有限公司 | A kind of mobile terminal and its living body faces recognition methods and system |
| CN108764224A (en) * | 2018-08-17 | 2018-11-06 | 勿识（深圳）智能硬件有限公司 | In vivo detection face identification device, method and system |
| CN109658627A (en) * | 2018-12-13 | 2019-04-19 | 深圳桓轩科技有限公司 | A kind of Intelligent logistics pickup system based on block chain |
| CN111179199A (en) * | 2019-12-31 | 2020-05-19 | 展讯通信（上海）有限公司 | Image processing method, device and readable storage medium |
| CN111311711A (en) * | 2020-02-16 | 2020-06-19 | 拉扎斯网络科技（上海）有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112820039B (en) | 2022-07-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11321966B2 (en) | Method and apparatus for human behavior recognition, and storage medium | |
| CN105404860A (en) | Method and device for managing information of lost person | |
| US9947105B2 (en) | Information processing apparatus, recording medium, and information processing method | |
| CN110008704B (en) | Intelligent electronic information storage system for industrial management | |
| CN110969045B (en) | Behavior detection method and device, electronic equipment and storage medium | |
| CN114022988A (en) | Visitor information management verification system and method based on artificial intelligence | |
| CN102740106A (en) | Method and device for detecting movement type of camera in video | |
| CN109064467A (en) | Analysis method, device and the electronic equipment of community security defence | |
| Ali et al. | Automated attendance management systems: systematic literature review | |
| CN112820039B (en) | Intelligent logistics express storage cabinet based on block chain | |
| CN109766844B (en) | Mobile terminal identity authentication and memory method based on brooch equipment | |
| CN114386013A (en) | Automatic student status authentication method and device, computer equipment and storage medium | |
| CN103942305B (en) | The calibration information acquisition methods and system of a kind of mobile terminal | |
| CN110825821B (en) | Personnel relationship query method and device, electronic equipment and storage medium | |
| CN112597238A (en) | Method, system, device and medium for establishing knowledge graph based on personnel information | |
| CN113572792B (en) | Engineering measurement intelligent management platform based on Internet of things | |
| CN111007735A (en) | Intelligent household equipment linkage method and system based on community license plate recognition | |
| CN107705404A (en) | A kind of visitor management system and method for identity-based certificate | |
| CN113986823A (en) | Picture archiving method, device, medium and equipment for communication machine room | |
| CN109391723B (en) | Mobile phone performance detection system | |
| CN109635688B (en) | Method and system for managing books on bookshelf based on image recognition | |
| CN106291383A (en) | Battery detection method and battery check device | |
| CN111143626A (en) | Group partner identification method, device, equipment and computer readable storage medium | |
| CN111522570A (en) | Target library updating method and device, electronic equipment and machine-readable storage medium | |
| KR20070003933A (en) | Fingerprint authentication method involving movement of control points |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |