CN109760632B - Vehicle tracking system based on block chain GPS positioning identification - Google Patents

Vehicle tracking system based on block chain GPS positioning identification Download PDF

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CN109760632B
CN109760632B CN201910100093.8A CN201910100093A CN109760632B CN 109760632 B CN109760632 B CN 109760632B CN 201910100093 A CN201910100093 A CN 201910100093A CN 109760632 B CN109760632 B CN 109760632B
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CN109760632A (en
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解本巨
刘国柱
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Jiangsu Zeran Information Technology Co.,Ltd.
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Qingdao Huize Chuangjian Information New Technology Co Ltd
Qingdao University of Science and Technology
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
    • B60R25/33—Detection related to theft or to other events relevant to anti-theft systems of global position, e.g. by providing GPS coordinates
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20—Means to switch the anti-theft system on or off
    • B60R25/25—Means to switch the anti-theft system on or off using biometry
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20—Means to switch the anti-theft system on or off
    • B60R25/25—Means to switch the anti-theft system on or off using biometry
    • B60R25/252—Fingerprint recognition
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20—Means to switch the anti-theft system on or off
    • B60R25/25—Means to switch the anti-theft system on or off using biometry
    • B60R25/257—Voice recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6227—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures

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Abstract

The invention discloses a vehicle tracking system based on GPS positioning identification of a block chain, which comprises a vehicle positioning module, a vehicle tracking device, a service device and a block chain service platform, wherein the vehicle positioning module is used for positioning a vehicle; the vehicle positioning module, the vehicle tracking device, the service device and the block chain service platform are communicated through GPRS connection; the vehicle positioning module is arranged in the automobile control panel; the vehicle tracking device is connected to the automobile control panel through a data line; in a certain distance range, the vehicle tracking device can directly receive the information transmitted by the vehicle positioning module after passing the authentication and authorization, and perform direct connection tracking; the invention provides a tracking system with high safety factor, which is a vehicle tracking system for accurately positioning a vehicle and dynamically knowing the dynamic position of the vehicle in real time based on GPS positioning identification of a block chain.

Description

Vehicle tracking system based on block chain GPS positioning identification
Technical Field
The invention relates to the field of vehicle tracking, in particular to a vehicle tracking system based on block chain GPS positioning identification.
Background
With the rapid development of economy, the social possession of automobiles is rapidly increased, the problem of vehicle management and allocation of each unit is more prominent, and meanwhile, various phenomena such as vehicle hijacking and vehicle stealing which harm social security and influence social stability are increased year by year, and the monitoring of vehicles becomes a problem to be solved urgently. The problem that how to improve the dispatching management capability, recover the stolen vehicle and identify the verification information becomes a problem to be solved is that not only the vehicle needs to be monitored but also the unit needs to perform dynamic control and monitoring on the owned vehicle by an individual.
Disclosure of Invention
The invention provides a tracking system with high safety factor, which is a vehicle tracking system for accurately positioning a vehicle and dynamically knowing the dynamic position of the vehicle in real time based on GPS positioning identification of a block chain.
The technical scheme of the invention is as follows:
the vehicle tracking system based on GPS positioning identification of the block chain comprises a vehicle positioning module, a vehicle tracking device, a service device and a block chain service platform; the vehicle positioning module, the vehicle tracking device, the service device and the block chain service platform are communicated through GPRS connection; the vehicle positioning module is arranged in the automobile control panel; the vehicle tracking device is connected to the automobile control panel through a data line; in a certain distance range, the vehicle tracking device can directly receive the information transmitted by the vehicle positioning module after passing the authentication and authorization, and directly track.
Furthermore, the vehicle positioning module comprises a GPS positioning instrument, a first information storage module and an information sending module, and the information sending module is electrically connected with the first information storage module and the GPS positioning instrument; the first information storage module records a license plate number, the name of the owner of the vehicle, the color of the vehicle body, the residual amount of fuel and a running path; the information sending module sends the information stored by the real-time GPS positioning and first information storage module;
the vehicle tracking device comprises a power supply module, an information identification module, a second information storage module, a first information transceiving module and a display; the power supply module is electrically connected with the information identification module, the second information storage module, the first information transceiving module and the display and provides power; the information identification module comprises a face identification module, a fingerprint identification module and a voiceprint identification module, the face identification module is arranged above the display screen, the fingerprint identification module is arranged on the left side surface of the vehicle tracking device, and the voiceprint identification module is arranged on two sides of the vehicle tracking device; the second information storage module receives the authentication information through the first information transceiver module, and stores the information after the authentication is passed; the first information transceiver module is connected with the second information storage module; the display comprises a central processing unit and a display screen, the central processing unit is electrically connected with the second information storage module, and the central processing unit processes the content of the second information storage module and displays the content on the display screen;
the service device comprises a display module, a processing module, a storage module, an authentication module and a second information transceiving module; the display module, the storage module, the authentication module, the second information transceiver module and the processing module are electrically connected; the display module adopts a touch screen to input and display related information; the authentication module compares the information needing authentication input by the display module with the encrypted information stored in the block chain service platform; the storage module is used for classifying and storing part of authentication information after passing the authentication, and storing information transmitted and received among the service device, the vehicle positioning module and the vehicle tracking device; the processing module displays the information in the storage module after passing the authentication to the display module;
the block chain service platform is communicated with the service device; recording a license plate number, the name of the current owner of the vehicle, the color of the vehicle body, the registration date of the vehicle, the name of the original owner of the vehicle, the name of a distribution enterprise, an enterprise business license number, the identity card number or business license number of the owner of the vehicle, the contact address of the owner, a maintenance record, a traffic accident record, insurance policy information, registration certificate information and driving certificate information in the block chain; and the block chain service platform calls the information corresponding to the authority content according to the information sent by the service device and transmits the information to the service device.
Furthermore, the vehicle tracking device also comprises an external power supply interface which converts an external vehicle power supply into a power supply for stabilizing the operation of equipment through a constant-current constant-voltage circuit; the constant-current constant-voltage circuit comprises a signal processor, a diode, a resistor, a capacitor, a polar capacitor and a photosensitive element;
the number of the signal processors is two, namely a signal processor U1 and a signal processor U3; the first pin and the second pin of the signal processor U1 are used as negative poles of input, the third pin of the signal processor U1 is connected with one end of a capacitor C5, and the other end of the capacitor C5 is connected with the cathode of a polar capacitor C3 and one end of a capacitor C4 and is connected with the negative pole of the input; the anode of the polar capacitor C3 is connected with one end of the resistor R8, one end of the resistor R5, one end of the resistor R9, the fourth pin of the signal processor U1 and the other end of the capacitor C4;
the resistor R8, the resistor R7 and the resistor R6 are connected in series, and the other end of the resistor R6, one end of the resistor R1, one end of the resistor R2 and one end of the capacitor C1 are used as input anodes; the other end of the resistor R1, one end of the resistor R3 and the other end of the capacitor C1 are connected with the cathode of the diode D1; the resistor R2 is connected with the resistor R3 in series; the anode of the diode D1 is connected with the fifth pin, the sixth pin, the seventh pin and the eighth pin of the signal processor U1; one end of the capacitor C1 and the anode of the diode D1 are connected with two ends of the inductor T1;
the other end of the resistor R5 is connected with the cathode of the diode D3, the anode of the diode D3 is connected with one end of the resistor R4 and the cathode of the diode D2, and the other end of the resistor R4 is connected with the anode of the polar capacitor C2 and one end of the capacitor C11; the cathode of the polar capacitor C2 and the other end of the capacitor C11 are grounded; the anode of the diode D2 and the other end of the capacitor C11 are connected with two ends of the inductor T2;
the resistor R9 is connected with the resistor R10 in series, the other end of the resistor R10 is connected with the fourth pin of the photosensitive element U2, and the third pin of the photosensitive element U2 is a feedback pin; a resistor R12 is connected between the first pin and the second pin of the photosensitive component, one end of a resistor R12 is connected with a resistor R11, the other end of the resistor R11 is connected with VCC high potential, and the other end of the resistor R2 is connected with the anode of a diode D4 and the anode of a diode D5;
the cathode of the diode D4 is connected with one end of the resistor R14, and the other end of the resistor R14 is connected with one end of the resistor R15 and a first pin of the signal processor U3; the other end of the resistor R15 is connected with one end of a capacitor C7, the other end of the capacitor C7 is connected with one end of a resistor R19, one end of a resistor R20 and a second pin of the signal processor U3, the other end of the resistor R19 is connected with a VCC high potential, and the other end of the resistor R20 and a fourth pin of the signal processor U3 are grounded; the third pin of the signal processor U3 is connected with one end of a resistor R16, and the other end of the resistor R16 is connected with VCC high potential;
the cathode of the diode D5 is connected with one end of the resistor R13, the other end of the resistor R13 is connected with one end of the resistor R17 and the seventh pin of the signal processor U3, the other end of the resistor R17 is connected with one end of the capacitor C10, the other end of the capacitor C10 is connected with the sixth pin of the signal processor U3, one end of the resistor R21 and one end of the capacitor C9, and the other end of the resistor R21 and the other end of the capacitor C9 are grounded together; a fifth pin of the signal processor U3 is connected with one end of a resistor R18 and one end of a capacitor C8, the other end of the capacitor C8 is grounded, and the other end of the resistor R18 is connected with a VCC high potential; the eighth pin of the signal processor U3 is connected to one end of the capacitor C6 and the VCC high potential, and the other end of the capacitor C6 is grounded.
Further, classified storage in the storage module of the service device is carried out by establishing an accurate distinguishing sample model; specifically, the accurate distinguishing sample model is established as follows:
the accurate distinguishing sample model is processed by adopting a plurality of continuous same processing model units, each model unit comprises an input layer, a hidden layer and an output layer, namely the model units form input and output correspondence, and a mapping model is established by the hidden layer; the input layer comprises output values of all nodes of a previous layer of sample model, weights of all nodes of the layer where the node is located and the previous layer, a threshold value of a current node and an activation function, and a specific judgment formula is as follows:
Figure BDA0001965473410000041
xj＝f(Sj)
wherein f is an activation function, an S-shaped function is selected, i and j are nodes of each layer of the sample model, namely the first input values, the second layer is processed, and w isijAs a weight between node i and node j, bjIs the threshold value, x, of node jjAn output value of each node; the first time sample model input layer node has no threshold value;
the activation function is specifically as follows:
Figure BDA0001965473410000051
where x is the input, e is a constant, A, B is a constant.
Further, the accurate sample model discrimination further comprises a verification mechanism, namely a reverse transmission process, which repeatedly corrects the weight and the threshold value through comparison between input and final output, and further corrects the weight and the threshold value in the forward modeling processing, so that error identification is reduced to the minimum, and the accurate sample model discrimination is obtained, and the specific processing is as follows:
the reverse transfer process specific handling function E is as follows:
Figure BDA0001965473410000052
wherein d isjFor all results of the output layer, yjThe result after forward modeling processing is shown, w is a weight, b is a threshold value, and n is the number of layers;
the gradient of E (w, b) is proportional to the weight vector correction, so for the jth output node:
Figure BDA0001965473410000053
eta is variable, and the derivation of the activation function can be known according to the activation function to obtain
Figure BDA0001965473410000054
Thereby aiming at wijHave the advantages that
Figure BDA0001965473410000061
Therein is provided with
Figure BDA0001965473410000062
Also for bjIs provided with
Figure BDA0001965473410000063
So as to obtain the weight between the hidden layer and the output layer and the adjustment amount of the output layer threshold value; and obtaining a weight between nodes of the input layer and the hidden layer and an adjustment quantity of a threshold value of the nodes between the hidden layers, wherein a specific formula is as follows:
Figure BDA0001965473410000064
Figure BDA0001965473410000071
wherein wkiIs the weight between the input layer k node and the hidden layer i node, then
Figure BDA0001965473410000072
According to the formula, based on a gradient descent method, obtaining the weight and the threshold value of the connection node between the hidden layer and the output layer, and the method is completed by the following formula:
Figure BDA0001965473410000073
Figure BDA0001965473410000074
wherein eta1、η2The weight and the threshold value of the connection between the input layer and the hidden layer can be obtained by the above formula as a variable, and the specific formula is as follows:
Figure BDA0001965473410000075
Figure BDA0001965473410000076
in construction, the number of nodes of an input layer and the number of nodes of an output layer are determined according to actual conditions, but the number of nodes of a hidden layer is uncertain, but the number of nodes of the hidden layer can influence the fitting degree of a network, so that the number of nodes of the hidden layer is determined by adopting the following formula:
Figure BDA0001965473410000077
the number of hidden layer nodes is represented by h, the number of input layer nodes is represented by m, the number of output layer nodes is represented by n, and the number of more accurate hidden layer nodes and more accurate model addition adjusting constants are represented by a.
Compared with the prior art, the invention has the advantages that: according to the invention, the block chain service platform is utilized to guarantee data safety, and the vehicle tracking device directly receives corresponding information of the vehicle to improve the tracking efficiency. Due to the data security of the block chain, real-time data retention is carried out in the tracking process, and the collected evidence is caught by the police and becomes more fair and legal. The invention authorizes the equipment by utilizing the consensus mechanism of the block chain, increases the safety of the whole system and improves the reliability of mutual information sharing.
The vehicle tracking device is generally an automobile with an external power supply, and the voltage and the current of the automobile are unstable, so that in order to prolong the whole service life and improve the new energy of the vehicle tracking device, a constant-current constant-voltage circuit is designed to improve and guarantee the stability of the whole operation, and other module circuits are designed conventionally.
In order to improve the efficiency of information search, the invention establishes an accurate distinguishing sample model, accurately distinguishes information by establishing the model, can quickly and accurately find corresponding vehicle information only by inputting partial characteristic information in the following tracking process of a police, and carries out quick information sharing through a service device so as to greatly improve the processing efficiency.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
FIG. 2 is a schematic view of a vehicle locating module of the present invention.
Fig. 3 is a schematic diagram of a vehicle tracking device according to the present invention.
Fig. 4 is a schematic diagram of the service device of the present invention.
Fig. 5 is a circuit diagram of the constant current and voltage circuit of the present invention.
FIG. 6 is a block diagram of a process model for accurately distinguishing between sample models according to the present invention.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
As shown in fig. 1 to 6, the vehicle tracking system based on GPS positioning identification of block chains includes a vehicle positioning module, a vehicle tracking device, a service device and a block chain service platform. The vehicle positioning module, the vehicle tracking device, the service device and the block chain service platform are communicated through GPRS connection. The vehicle positioning module is arranged in the automobile control panel. The vehicle tracking device is connected to the automobile control panel through a data line. In a certain distance range, the vehicle tracking device can directly receive the information transmitted by the vehicle positioning module after passing the authentication and authorization, and directly track. The information sent between each module device is encrypted, so that the content of the information cannot be decrypted without holding a corresponding key.
The vehicle positioning module comprises a GPS locator, a first information storage module and an information sending module, and the information sending module is electrically connected with the first information storage module and the GPS locator. The first information storage module records license plate number, name of the owner of the vehicle, color of the vehicle body, residual fuel amount and driving path. And the information sending module sends the real-time GPS positioning and the information stored by the first information storage module. The information sent by the terminal is encrypted, so that the content of the information cannot be decrypted without holding a corresponding key. Because the device is simple and low in cost, the device can be installed on each trolley, and new automobiles on the market are self-contained.
The vehicle tracking device comprises a power supply module, an information identification module, a second information storage module, a first information transceiving module and a display. The power module is electrically connected with the information identification module, the second information storage module, the first information transceiving module and the display and provides power. The information identification module comprises a face identification module, a fingerprint identification module and a voiceprint identification module, the face identification module is arranged above the display screen, the fingerprint identification module is arranged on the left side face of the vehicle tracking device, and the voiceprint identification module is arranged on two sides of the vehicle tracking device. The second information storage module receives the authentication information through the first information transceiver module, and stores the information after the authentication is passed. The first information receiving and sending module is connected with the second information storage module. The display comprises a central processing unit and a display screen, the central processing unit is electrically connected with the second information storage module, and the central processing unit processes the content of the second information storage module and then displays the content on the display screen.
The operating principle of the system is that the service device mainly sends the authorization verification information to the vehicle tracking device, and the vehicle tracking device stores the information in the second information storage module. Only when the authorized person passes the verification of the fingerprint identification module, the face identification module and the voiceprint identification module, the authorized person can be authorized successfully, and the equipment is started. And displaying the data information on a display from the block chain service platform according to the information which can be seen by the obtained authorized person. In actual operation, for example, the police catches up, the police authorizes a plurality of devices, authorizers are different, but authorization information is the same, and at the moment, as long as a master commander confirms authorization, users corresponding to the devices pass information verification, other secret information of the vehicle to be tracked can be directly sent to the vehicle tracking device through a common recognition mechanism, excessive data are not needed to be repeatedly operated and processed, redundant operation is greatly reduced, and information sharing is improved. The use information of the vehicle tracking device can be stored and sent to the block chain service platform, because the pass time is used as a storage chain, the modification is difficult, and the modification is successful only when more than half of the node storage information is required to be modified, so that the accuracy of data recording is guaranteed from the aspect of visitation, once an illegal action occurs in the execution process of a police, the data can be completely recorded, and the legality of evidence is guaranteed.
After authorization, the vehicle tracking device can directly receive information transmitted by the vehicle positioning module within a certain distance range to perform direct tracking. Therefore, the high-efficiency communication of information is facilitated, and the tracking effect is greatly improved.
The vehicle tracking device further comprises an external power interface, so that the vehicle tracking device can operate for a long time. The external power supply interface converts an external automobile power supply into a power supply for stabilizing the operation of equipment through a constant-current constant-voltage circuit. The constant-current constant-voltage circuit comprises a signal processor, a diode, a resistor, a capacitor, a polar capacitor and a photosensitive element. The specific circuit is shown in fig. 5.
There are two signal processors, signal processor U1 and signal processor U3. The first pin and the second pin of the signal processor U1 are used as negative poles of the input, the third pin of the signal processor U1 is connected with one end of a capacitor C5, and the other end of the capacitor C5 is connected with the cathode of a polar capacitor C3 and one end of a capacitor C4, and is connected with the negative pole of the input. The anode of the polar capacitor C3 is connected to one end of the resistor R8, one end of the resistor R5, one end of the resistor R9, the fourth pin of the signal processor U1, and the other end of the capacitor C4.
The resistor R8, the resistor R7 and the resistor R6 are connected in series, and the other end of the resistor R6, one end of the resistor R1, one end of the resistor R2 and one end of the capacitor C1 are used as input anodes. The other end of the resistor R1, one end of the resistor R3, and the other end of the capacitor C1 are connected to the cathode of the diode D1. Resistor R2 is connected in series with resistor R3. An anode of the diode D1 is connected to the fifth, sixth, seventh, and eighth pins of the signal processor U1. One end of the capacitor C1 and the anode of the diode D1 are connected to both ends of the inductor T1.
The other end of the resistor R5 is connected to the cathode of the diode D3, the anode of the diode D3 is connected to one end of the resistor R4 and the cathode of the diode D2, and the other end of the resistor R4 is connected to the anode of the polar capacitor C2 and one end of the capacitor C11. The cathode of the polar capacitor C2 and the other end of the capacitor C11 are grounded. The anode of the diode D2 and the other end of the capacitor C11 are connected to both ends of the inductor T2.
The resistor R9 is connected in series with the resistor R10, the other end of the resistor R10 is connected with the fourth pin of the photosensitive element U2, and the third pin of the photosensitive element U2 is a feedback pin. A resistor R12 is connected between the first pin and the second pin of the photosensitive component, one end of a resistor R12 is connected with a resistor R11, the other end of the resistor R11 is connected with VCC high potential, and the other end of the resistor R2 is connected with the anode of a diode D4 and the anode of a diode D5.
The cathode of the diode D4 is connected to one end of the resistor R14, and the other end of the resistor R14 is connected to one end of the resistor R15 and the first pin of the signal processor U3. The other end of the resistor R15 is connected with one end of a capacitor C7, the other end of the capacitor C7 is connected with one end of a resistor R19, one end of a resistor R20 and a second pin of the signal processor U3, the other end of the resistor R19 is connected with VCC high potential, and the other end of the resistor R20 and a fourth pin of the signal processor U3 are grounded together. The third pin of the signal processor U3 is connected to one end of a resistor R16, and the other end of the resistor R16 is connected to VCC high potential.
The cathode of the diode D5 is connected to one end of the resistor R13, the other end of the resistor R13 is connected to one end of the resistor R17 and the seventh pin of the signal processor U3, the other end of the resistor R17 is connected to one end of the capacitor C10, the other end of the capacitor C10 is connected to the sixth pin of the signal processor U3, one end of the resistor R21 and one end of the capacitor C9, and the other end of the resistor R21 and the other end of the capacitor C9 are grounded together. The fifth pin of the signal processor U3 is connected to one end of a resistor R18 and one end of a capacitor C8, the other end of the capacitor C8 is grounded, and the other end of the resistor R18 is connected to a VCC high potential. The eighth pin of the signal processor U3 is connected to one end of the capacitor C6 and the VCC high potential, and the other end of the capacitor C6 is grounded.
The input voltage of the commercial vehicle is basically 12V to 24V, and the maximum output current can reach 15 amperes or even 20 amperes. A common output voltage commonly used in the market is 5V, and an output current is about 1A-4A, which is still very unstable, and it is difficult to realize long-term stable use of the vehicle tracking device. After the constant-current constant-voltage circuit is adopted, the output voltage is still 5V, and the output current is controlled to be 1.7A to 2.2A. Facilitating long-term use of the device in this environment.
The service device comprises a display module, a processing module, a storage module, an authentication module and a second information transceiving module. The display module, the storage module, the authentication module, the second information transceiver module and the processing module are electrically connected. The display module adopts a touch screen to input related information and display the information. The authentication module compares the information needing authentication input by the display module with the encrypted information stored in the block chain service platform. The storage module classifies and stores part of authentication information after passing the authentication, and stores information transmitted and received between the service device and the vehicle positioning module and between the service device and the vehicle tracking device. And the processing module displays the information in the storage module after the authentication is passed to the display module.
The service device inputs accurate information through the authentication module by the actual obligee to start tracking through authentication, transmission data of first authentication are many, but after authentication, the actual obligee can be directly authorized through a consensus mechanism, and a lot of information does not need to be provided repeatedly, so that redundancy is reduced, concurrency is increased, and processing efficiency and information sharing are improved. The service device can receive the information of the vehicle positioning module and the vehicle tracking device and display the information for real-time monitoring of actual authorized persons, so that the police can conveniently conduct overall command and decide whether to increase hands or not according to the command of police officers.
The block chain service platform is communicated with the service device. The block chain records the license plate number, the name of the current owner of the vehicle, the color of the vehicle body, the registration date of the vehicle, the name of the original owner of the vehicle, the name of a distribution enterprise, the number of an enterprise business license, the number of the identity card or the number of the business license of the owner of the vehicle, the contact address of the owner, the maintenance record, the record of the traffic accident, the information of the insurance policy, the information of the registration card and the information of the driving card. And the block chain service platform calls the information corresponding to the authority content according to the information sent by the service device and transmits the information to the service device.
Preferably, the classified storage in the storage module of the service device is performed by establishing a precise distinguishing sample model. If the Mazda A6 vehicle information and photos in the data are used as the input of the sample model, the automobile is firstly output when the data enter the sample model for the first time, then the sample model is processed for the second time, the automobile is output as the Mazda, the red Mazda is output for the third time, the damage degree is output for the fourth time, the tire state … … is output for the fifth time, and finally the specific details of classified storage, the actual color, the vehicle condition, the form path and the like of the Mazda A6 are obtained, so that the refined storage of the accurate information is established. Therefore, all information of the unique corresponding actual vehicle can be efficiently obtained by inputting part of vehicle characteristic information after the police authorizes the vehicle.
Specifically, the accurate distinguishing sample model is established as follows:
the accurate distinguishing sample model is processed by adopting a plurality of continuous same processing model units, each model unit comprises an input layer, a hidden layer and an output layer, namely the model units form input and output correspondence, and a mapping model is established by the hidden layer. The input layer comprises output values of all nodes of a previous layer of sample model, weights of all nodes of the layer where the node is located and the previous layer, a threshold value of a current node and an activation function, and a specific judgment formula is as follows:
Figure BDA0001965473410000131
xj＝f(Sj)
wherein f is an activation function, an S-shaped function is selected, i and j are nodes of each layer of the sample model, namely the first input values, the second layer is processed, and w isijAs a weight between node i and node j, bjIs the threshold value, x, of node jjThe output value of each node. The first time the sample model input layer node has no threshold.
The activation function is specifically as follows:
Figure BDA0001965473410000132
where x is the input, e is a constant, A, B is a constant.
Establishing the accurate differentiated sample model also includes a verification mechanism, namely a reverse transfer process, in order to verify the final accuracy. The weight and the threshold are repeatedly corrected through comparison between input and final output, so that the weight and the threshold in forward modeling processing are corrected, error identification is reduced to the minimum, and an accurate distinguishing sample model is obtained, and the specific processing is as follows:
the reverse transfer process specific handling function E is as follows:
Figure BDA0001965473410000141
wherein d isjFor all results of the output layer, yjAnd w is a weight, b is a threshold value and n is the number of layers. And continuously comparing and adjusting the weight value and the threshold value of the sample model to reduce the relative error gradient, so that the correction is carried out according to a gradient reduction method.
The gradient of E (w, b) is proportional to the weight vector correction, so for the jth output node:
Figure BDA0001965473410000142
eta is variable, according to the activation function, the derivation of the activation function can be known to obtain
Figure BDA0001965473410000143
Thereby aiming at wijHave the advantages that
Figure BDA0001965473410000144
Figure BDA0001965473410000151
Therein is provided with
Figure BDA0001965473410000152
Also for bjIs provided with
Figure BDA0001965473410000153
So as to obtain the weight value between the hidden layer and the output layer and the adjustment quantity of the output layer threshold value. However, the weights between the nodes of the input layer and the hidden layer and the adjustment amount of the threshold of the nodes between the hidden layers need to be obtained, and the specific formula is as follows:
Figure BDA0001965473410000154
wherein wkiIs the weight between the input layer k node and the hidden layer i node, then
Figure BDA0001965473410000155
According to the formula, based on a gradient descent method, obtaining the weight and the threshold value of the connection node between the hidden layer and the output layer, and the method is completed by the following formula:
Figure BDA0001965473410000161
Figure BDA0001965473410000162
wherein eta1、η2The weight and the threshold value of the connection between the input layer and the hidden layer can be obtained by the above formula as a variable, and the specific formula is as follows:
Figure BDA0001965473410000163
Figure BDA0001965473410000164
in construction, the number of nodes of an input layer and the number of nodes of an output layer are determined according to actual conditions, but the number of nodes of a hidden layer is uncertain, but the number of nodes of the hidden layer can influence the fitting degree of a network, so that the number of nodes of the hidden layer is determined by adopting the following formula:
Figure BDA0001965473410000165
the number of hidden layer nodes is represented by h, the number of input layer nodes is represented by m, the number of output layer nodes is represented by n, and the number of more accurate hidden layer nodes and more accurate model addition adjusting constants are represented by a.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the spirit of the present invention, and these modifications and decorations should also be regarded as being within the scope of the present invention.

Claims (3)

1. The vehicle tracking system based on GPS positioning identification of the block chain is characterized by comprising a vehicle positioning module, a vehicle tracking device, a service device and a block chain service platform; the vehicle positioning module, the vehicle tracking device, the service device and the block chain service platform are communicated through GPRS connection; the vehicle positioning module is arranged in the automobile control panel; the vehicle tracking device is connected to the automobile control panel through a data line; in a certain distance range, the vehicle tracking device can directly receive the information transmitted by the vehicle positioning module after passing the authentication and authorization, and perform direct connection tracking;
the vehicle positioning module comprises a GPS positioning instrument, a first information storage module and an information sending module, and the information sending module is electrically connected with the first information storage module and the GPS positioning instrument; the first information storage module records a license plate number, the name of the owner of the vehicle, the color of the vehicle body, the residual amount of fuel and a running path; the information sending module sends the information stored by the real-time GPS positioning and first information storage module;
the vehicle tracking device comprises a power supply module, an information identification module, a second information storage module, a first information transceiving module and a display; the power supply module is electrically connected with the information identification module, the second information storage module, the first information transceiving module and the display and provides power; the information identification module comprises a face identification module, a fingerprint identification module and a voiceprint identification module, the face identification module is arranged above the display screen, the fingerprint identification module is arranged on the left side surface of the vehicle tracking device, and the voiceprint identification module is arranged on two sides of the vehicle tracking device; the second information storage module receives the authentication information through the first information transceiver module, and stores the information after the authentication is passed; the first information transceiver module is connected with the second information storage module; the display comprises a central processing unit and a display screen, the central processing unit is electrically connected with the second information storage module, and the central processing unit processes the content of the second information storage module and displays the content on the display screen;
the service device comprises a display module, a processing module, a storage module, an authentication module and a second information transceiving module; the display module, the storage module, the authentication module, the second information transceiver module and the processing module are electrically connected; the display module adopts a touch screen to input and display related information; the authentication module compares the information needing authentication input by the display module with the encrypted information stored in the block chain service platform; the storage module is used for classifying and storing part of authentication information after passing the authentication, and storing information transmitted and received among the service device, the vehicle positioning module and the vehicle tracking device; the processing module displays the information in the storage module after passing the authentication to the display module;
the block chain service platform is communicated with the service device; recording a license plate number, the name of the current owner of the vehicle, the color of the vehicle body, the registration date of the vehicle, the name of the original owner of the vehicle, the name of a distribution enterprise, an enterprise business license number, the identity card number or business license number of the owner of the vehicle, the contact address of the owner, a maintenance record, a traffic accident record, insurance policy information, registration certificate information and driving certificate information in the block chain; the block chain service platform calls information corresponding to the authority content of the service device according to the information sent by the service device and transmits the information to the service device;
the vehicle tracking device comprises an external power interface which converts an external automobile power supply into a power supply for stabilizing the operation of equipment through a constant-current constant-voltage circuit; the constant-current constant-voltage circuit comprises a signal processor, a diode, a resistor, a capacitor, a polar capacitor and a photosensitive element;
the number of the signal processors is two, namely a signal processor U1 and a signal processor U3; the first pin and the second pin of the signal processor U1 are used as negative poles of input, the third pin of the signal processor U1 is connected with one end of a capacitor C5, and the other end of the capacitor C5 is connected with the cathode of a polar capacitor C3 and one end of a capacitor C4 and is connected with the negative pole of the input; the anode of the polar capacitor C3 is connected with one end of the resistor R8, one end of the resistor R5, one end of the resistor R9, the fourth pin of the signal processor U1 and the other end of the capacitor C4;
the resistor R8, the resistor R7 and the resistor R6 are connected in series, and the other end of the resistor R6, one end of the resistor R1, one end of the resistor R2 and one end of the capacitor C1 are used as input anodes; the other end of the resistor R1, one end of the resistor R3 and the other end of the capacitor C1 are connected with the cathode of the diode D1; the resistor R2 is connected with the resistor R3 in series; the anode of the diode D1 is connected with the fifth pin, the sixth pin, the seventh pin and the eighth pin of the signal processor U1; one end of the capacitor C1 and the anode of the diode D1 are connected with two ends of the inductor T1;
the other end of the resistor R5 is connected with the cathode of the diode D3, the anode of the diode D3 is connected with one end of the resistor R4 and the cathode of the diode D2, and the other end of the resistor R4 is connected with the anode of the polar capacitor C2 and one end of the capacitor C11; the cathode of the polar capacitor C2 and the other end of the capacitor C11 are grounded; the anode of the diode D2 and the other end of the capacitor C11 are connected with two ends of the inductor T2;
the resistor R9 is connected with the resistor R10 in series, the other end of the resistor R10 is connected with the fourth pin of the photosensitive element U2, and the third pin of the photosensitive element U2 is a feedback pin; a resistor R12 is connected between the first pin and the second pin of the photosensitive component, one end of a resistor R12 is connected with a resistor R11, the other end of the resistor R11 is connected with VCC high potential, and the other end of the resistor R2 is connected with the anode of a diode D4 and the anode of a diode D5;
the cathode of the diode D4 is connected with one end of the resistor R14, and the other end of the resistor R14 is connected with one end of the resistor R15 and a first pin of the signal processor U3; the other end of the resistor R15 is connected with one end of a capacitor C7, the other end of the capacitor C7 is connected with one end of a resistor R19, one end of a resistor R20 and a second pin of the signal processor U3, the other end of the resistor R19 is connected with a VCC high potential, and the other end of the resistor R20 and a fourth pin of the signal processor U3 are grounded; the third pin of the signal processor U3 is connected with one end of a resistor R16, and the other end of the resistor R16 is connected with VCC high potential;
the cathode of the diode D5 is connected with one end of the resistor R13, the other end of the resistor R13 is connected with one end of the resistor R17 and the seventh pin of the signal processor U3, the other end of the resistor R17 is connected with one end of the capacitor C10, the other end of the capacitor C10 is connected with the sixth pin of the signal processor U3, one end of the resistor R21 and one end of the capacitor C9, and the other end of the resistor R21 and the other end of the capacitor C9 are grounded together; a fifth pin of the signal processor U3 is connected with one end of a resistor R18 and one end of a capacitor C8, the other end of the capacitor C8 is grounded, and the other end of the resistor R18 is connected with a VCC high potential; the eighth pin of the signal processor U3 is connected to one end of the capacitor C6 and the VCC high potential, and the other end of the capacitor C6 is grounded.
2. The vehicle tracking system based on blockchain GPS location identification according to claim 1, wherein the classification storage in the service device storage module is performed by establishing an accurate differentiated sample model; specifically, the accurate distinguishing sample model is established as follows:
the accurate distinguishing sample model is processed by adopting a plurality of continuous same processing model units, each model unit comprises an input layer, a hidden layer and an output layer, namely the model units form input and output correspondence, and a mapping model is established by the hidden layer; the input layer comprises output values of all nodes of a previous layer of sample model, weights of all nodes of the layer where the node is located and the previous layer, a threshold value of a current node and an activation function, and a specific judgment formula is as follows:
Figure FDA0002367481260000041
xj＝f(Sj)
wherein f is an activation function, an S-shaped function is selected, i and j are nodes of each layer of the sample model, namely the first input values, the second layer is processed, and w isijAs a weight between node i and node j, bjIs the threshold value, x, of node jjAn output value of each node; the first time sample model input layer node has no threshold value;
the activation function is specifically as follows:
Figure FDA0002367481260000042
where x is the input, e is a constant, A, B is a constant.
3. The system for tracking vehicle based on GPS positioning identification of block chain according to claim 2, wherein the accurate differentiated sample model further includes a verification mechanism, i.e. a reverse transmission process, which repeatedly corrects the weight and the threshold value by comparing the input with the final output, and further corrects the weight and the threshold value in the forward modeling process, so that the error identification is minimized, thereby obtaining the accurate differentiated sample model, and the specific process is as follows:
the reverse transfer process specific handling function E is as follows:
Figure FDA0002367481260000043
wherein d isjFor all results of the output layer, yjThe result after forward modeling processing is shown, w is a weight, b is a threshold value, and n is the number of layers;
the gradient of E (w, b) is proportional to the weight vector correction, so for the jth output node:
Figure FDA0002367481260000044
eta is variable, and the derivation of the activation function can be known according to the activation function to obtain
Figure FDA0002367481260000051
Thereby aiming at wijHave the advantages that
Figure FDA0002367481260000052
Therein is provided with
Figure FDA0002367481260000053
Also for bjIs provided with
Figure FDA0002367481260000054
So as to obtain the weight between the hidden layer and the output layer and the adjustment amount of the output layer threshold value; and obtaining a weight between nodes of the input layer and the hidden layer and an adjustment quantity of a threshold value of the nodes between the hidden layers, wherein a specific formula is as follows:
Figure FDA0002367481260000061
wherein wkiIs the weight between the input layer k node and the hidden layer i node, then
Figure FDA0002367481260000062
According to the formula, based on a gradient descent method, obtaining the weight and the threshold value of the connection node between the hidden layer and the output layer, and the method is completed by the following formula:
Figure FDA0002367481260000063
Figure FDA0002367481260000064
wherein eta1、η2The weight and the threshold value of the connection between the input layer and the hidden layer can be obtained by the above formula as a variable, and the specific formula is as follows:
Figure FDA0002367481260000065
Figure FDA0002367481260000071
in construction, the number of nodes of an input layer and the number of nodes of an output layer are determined according to actual conditions, but the number of nodes of a hidden layer is uncertain, but the number of nodes of the hidden layer can influence the fitting degree of a network, so that the number of nodes of the hidden layer is determined by adopting the following formula:
Figure FDA0002367481260000072
the number of hidden layer nodes is represented by h, the number of input layer nodes is represented by m, the number of output layer nodes is represented by n, and the number of more accurate hidden layer nodes and more accurate model addition adjusting constants are represented by a.
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