CN110909682A - Waste mobile terminal intelligent identification method based on recovery equipment - Google Patents

Waste mobile terminal intelligent identification method based on recovery equipment Download PDF

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CN110909682A
CN110909682A CN201911162646.9A CN201911162646A CN110909682A CN 110909682 A CN110909682 A CN 110909682A CN 201911162646 A CN201911162646 A CN 201911162646A CN 110909682 A CN110909682 A CN 110909682A
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汤健
王子轩
徐喆
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Beijing University of Technology
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Abstract

The invention discloses a waste mobile terminal intelligent identification method based on recovery equipment, which comprises the steps of firstly, carrying out startup state detection by matching of a delivery user of a waste mobile terminal, and acquiring front images of the waste mobile terminal before and after startup or the front image of the waste mobile terminal which cannot be started; then, detecting the state of the interface of the waste mobile terminal by connecting a data line, and acquiring a back image of the waste mobile terminal placed at the detection position of the recovery equipment by using camera equipment; then, performing authority acquisition and information extraction on the waste mobile terminal with a normal interface; and finally, detecting the network state of the recovery equipment, and fusing the multi-source information to respectively perform intelligent identification on the waste mobile terminal under normal and abnormal modes of the network state of the recovery equipment.

Description

Waste mobile terminal intelligent identification method based on recovery equipment
Technical Field
The invention belongs to the technical field of mobile terminals, and particularly relates to an intelligent waste mobile terminal identification method based on recovery equipment.
Background
Mobile terminals such as smart phones and tablets become an indispensable part of the lives of residents in the information age, and the replacement frequency of the mobile terminals is gradually increased due to the innovation of the technology. At present, a complete recovery system is not established in China, and the recovery rate of the normal channel of the waste mobile terminal is only about 1 percent[1]. According to statistics, the production and sale of mobile phones in China have been already carried out since 2004First position in the world[2](ii) a In 2018 years only, the total goods output of the mobile phones in domestic markets is 4.14 hundred million, the rejected waste mobile phones reach 3 hundred million, but the recovery rate of a regular channel is less than 5 percent[3,4]. The waste mobile terminals contain a large amount of precious metals, and if the precious metals are not recovered in time or the recovery means is unreasonable, resource loss and environmental pollution can be caused. Taking a waste mobile phone as an example, at present, four recycling ways are mainly used in China[5]: the method comprises the steps of individual mobile vendor home recycling, spontaneous recycling of manufacturers and operation mobile vendors, regular recycling of enterprises and direct abandonment of the enterprises as household garbage. The unreasonable recovery of the waste mobile phones aggravates the environmental deterioration and causes serious harm to the global environment.
In recent years, a new recycling model of "internet + recycling" has gradually replaced individual vendors and producers to recycle spontaneously. In the recovery modes, how to utilize intelligent recovery equipment to complete the recovery of the waste mobile terminal becomes a key link. At present, the waste mobile terminal identification modes adopted by different types of recovery equipment mainly include the following four modes: (1) and identifying based on the appearance image of the waste mobile terminal. Such as, document [6]]Identifying the model and brand of the waste mobile phone through an image technology; document [7]]And a scanning device is added on the basis of image sensing, and the recognition rate is improved by utilizing the scanned image on the back of the mobile phone. At present, the image recognition technology is still in a development stage in the aspect of recognition application of the waste mobile terminal, the success rate is low, and recovery equipment for recognizing the waste mobile terminal only by means of images does not exist. How to improve the image recognition efficiency based on multi-view information of the waste mobile terminal is still a difficult problem which needs to be solved urgently at the present stage; (2) and identifying the waste mobile terminal based on the IMEI code of the mobile phone. Document [8]A hand-held IMEI code recognizer is designed, and IMEI codes are obtained in an input or scanning mode and are matched with information stored in a database; if the IMEI code cannot be matched, the identifier acquires the IMEI code by accessing the Internet. The limitations of this approach are: the mobile terminal adopting other protocols such as CDMA and the like adopts MEID code for identification and does not have IMEI code[9](ii) a (3) The mobile phone is controlled by a mechanical hand in the independent recycling box to complete operations such as shooting, touch control and the like for identification. Document [10]]Put forward through the control boxThe manipulator takes pictures by using front and rear cameras of the waste mobile phone to check the functions of the camera of the mobile phone, and performs touch and press operations on the mobile phone to check the touch sensitivity of the mobile phone. However, the method can only detect part of hardware of the mobile phone; (4) and connecting the waste mobile terminal through a data line to obtain the identification information. This is currently the most widely used identification. Document [11]And connecting the waste mobile terminal with the identification device through a USB data line, and detecting the matching of the built-in configuration parameters of the mobile phone and the existing information in the database to complete the identification. But this method cannot identify the old and useless mobile terminal whose interface has been damaged. In addition, the old and useless mobile terminals which are not contained in the database cannot be identified. In addition, if the internal configuration of the old and useless mobile terminal is modified, the method can also identify errors. Further, document [12]]The information such as the brand, the model and the like of the waste mobile terminal is obtained by combining the image identification with the data line connection mode, but the possible difference of the identification information in the local/remote database of the recovery equipment and the situations that the waste mobile terminal cannot be started and the interface is abnormal and the like are not considered.
Disclosure of Invention
The method aims at the problem that the conventional recycling equipment for the urban renewable resources mostly adopts a data line connection mode to acquire the internal information of the waste mobile terminal to be recycled for identification, but the mode cannot identify the waste mobile terminal which cannot be started or has a damaged data interface. In addition, the identification method of the waste mobile terminal based on the image, the IMEI code and other modes has the problems of poor reliability, limited coverage types and the like, and particularly, effective recovery of the waste mobile terminal is difficult to realize when the network connection of recovery equipment is abnormal. In order to solve the problems, the invention provides a waste mobile terminal intelligent identification method based on recovery equipment, which comprises the steps of firstly, adopting a starting detection and front image acquisition module, carrying out starting state detection by the cooperation of a delivery user of a waste mobile terminal, and acquiring front images of the waste mobile terminal before and after starting or front images of the waste mobile terminal which cannot be started; then, an internal information acquisition module is adopted to detect the interface state of the waste mobile terminal through a connection data line, and a camera device is used to acquire a back image of the waste mobile terminal placed at the detection position of the recovery equipment; then, an interface detection and back image acquisition module is adopted to acquire the authority and extract information of the waste mobile terminal with a normal interface; and finally, detecting the network state of the recovery equipment by adopting a recovery equipment network state detection module and an intelligent identification module based on multi-source characteristics, and fusing the multi-source information to respectively perform intelligent identification on the waste mobile terminal in normal and abnormal modes of the network state of the recovery equipment.
Drawings
FIG. 1 general strategy diagram;
FIG. 2 is a flow chart of a power-on detection and front image acquisition module;
FIG. 3 is a flow diagram of an interface detection and back image acquisition module;
FIG. 4 is a flow diagram of an internal information acquisition module;
FIG. 5 is a flow chart of recovery equipment network state detection and intelligent identification module based on multi-source features.
Detailed Description
The invention provides a waste mobile terminal intelligent identification method based on recovery equipment, which consists of 4 parts including a starting detection and front image acquisition module, an interface detection and back image acquisition module, an internal information acquisition module and a recovery equipment network state detection and intelligent identification module based on multi-source characteristics, and the total strategy diagram is shown in figure 1.
(1) Startup detection and front image acquisition module
The module inputs interactive information K provided by the waste mobile terminal X to be identified and the delivery userHMIAnd outputting the starting state of the waste mobile terminal to be identified
Figure BDA0002286549290000021
And front images before and after starting up
Figure BDA0002286549290000022
And
Figure BDA0002286549290000023
its purpose is to hand overThe detection of the starting-up state of the waste mobile terminal and the acquisition of front images before and after starting up are finished under the cooperation of a user, and the corresponding mapping relation is as follows:
Figure BDA0002286549290000024
wherein,
Figure BDA0002286549290000025
the method is used for detecting the starting state of the waste mobile terminal and acquiring front images of the waste mobile terminal before and after starting. If the waste mobile terminal cannot be started, two same images which are not started are obtained.
(2) Interface detection and back image acquisition module
The input of the module is the starting state of the waste mobile terminal to be identified
Figure BDA0002286549290000026
Interactive information K provided by delivery userHMIAnd the waste mobile terminal X to be identified is output as the interface state of the waste mobile terminal to be identified
Figure BDA0002286549290000027
And a back side image
Figure BDA0002286549290000028
The method aims to complete detection of the interface state of the waste mobile terminal and obtain a back image of the waste mobile terminal under the coordination of a delivery user, and the corresponding mapping relation is as follows:
Figure BDA0002286549290000029
wherein,
Figure BDA00022865492900000210
the method is used for detecting the state of the interfaces of the waste mobile terminal and acquiring the back image of the waste mobile terminal.
(3) Internal information acquisition module
The input of the module is the interface state of the waste mobile terminal
Figure BDA0002286549290000031
And outputting the waste mobile terminal X to be identified as the internal information of the waste mobile terminal
Figure BDA0002286549290000032
The method aims to obtain information such as the model and the memory of the waste mobile terminal under the condition that the waste mobile terminal is intact, and the corresponding mapping relation is as follows:
Figure BDA0002286549290000033
wherein,
Figure BDA0002286549290000034
the method represents a process for acquiring the internal information of the waste mobile terminal.
(4) Network state detection and multi-source feature-based intelligent identification module for recovery equipment
The input of the module is the starting state of the waste mobile terminal to be identified
Figure BDA0002286549290000035
Interface status
Figure BDA0002286549290000036
Front image before and after starting up
Figure BDA0002286549290000037
And
Figure BDA0002286549290000038
back image
Figure BDA0002286549290000039
Internal information
Figure BDA00022865492900000310
And recovering the equipment current network signal
Figure BDA00022865492900000311
The output is the waste mobile terminal Y based on local or remote identification, the purpose is to fuse multi-source information to realize intelligent identification of the waste mobile terminal under normal and abnormal modes of the network state of the recovery equipment respectively after the detection of the network state of the recovery equipment of the waste mobile terminal is completed, and the corresponding mapping relation is as follows:
Figure BDA00022865492900000312
wherein,
Figure BDA00022865492900000313
the method comprises the steps of representing a process for detecting the network state of the recovery equipment and intelligently identifying the waste mobile terminal based on multi-source information; the intelligent identification of the waste mobile terminal can be realized by adopting algorithms such as neural network, template reasoning, case reasoning and the like.
The invention provides a waste mobile terminal intelligent identification method based on recovery equipment, which comprises the steps of firstly, adopting a starting detection and front image acquisition module, carrying out starting state detection by the cooperation of a delivery user of a waste mobile terminal, and acquiring front images of the waste mobile terminal before and after starting or the front images of the waste mobile terminal which can not be started; then, an internal information acquisition module is adopted to detect the interface state of the waste mobile terminal through a connection data line, and a camera device is used to acquire a back image of the waste mobile terminal placed at the detection position of the recovery equipment; then, an interface detection and back image acquisition module is adopted to acquire the authority and extract information of the waste mobile terminal with a normal interface; and finally, detecting the network state of the recovery equipment by adopting a recovery equipment network state detection module and an intelligent identification module based on multi-source characteristics, and fusing the multi-source information to respectively perform intelligent identification on the waste mobile terminal in normal and abnormal modes of the network state of the recovery equipment.
The starting-up detection and front image acquisition module comprises the following specific processes:
the input of the module being waste to be identifiedOld mobile terminal X and interactive information K provided by delivery userHMIAnd outputting the starting state of the waste mobile terminal to be identified
Figure BDA00022865492900000314
And front images before and after starting up
Figure BDA00022865492900000315
And
Figure BDA00022865492900000316
the intermediate processing process comprises the sub-modules of entering an operation mode of the recovery equipment, collecting the front image of the waste mobile terminal, determining the starting state of the waste mobile terminal and the like.
Aiming at the waste mobile terminal X to be identified, the following processes are executed:
firstly, a delivery user lights a screen of a recycling machine according to a recycling equipment prompt; furthermore, the delivery personnel put the waste mobile terminal to be identified according to the voice and character prompts of the recovery equipment, so that the camera at the front end of the recovery equipment enters an open state.
The process is as follows from the description of the process,
Figure BDA0002286549290000041
wherein,
Figure BDA0002286549290000042
represents the human-computer interaction process of the delivery user and the recovery equipment,
Figure BDA0002286549290000043
indicating that the front camera of the recovery equipment enters an opening state.
Then, the front-end camera of the recycling equipment firstly acquires a front image of the screen of the waste mobile terminal to be identified which is not started or is lightened, and then prompts a delivery user to execute the operation of starting or lightening the screen of the waste mobile terminal, so as to acquire the front image after starting, wherein the process can be expressed as,
Figure BDA0002286549290000044
wherein,
Figure BDA0002286549290000045
the method comprises the steps of obtaining front images of the waste mobile terminal to be identified before and after starting up under the cooperation of a delivery user.
Finally, the difference degree of the front images of the waste mobile terminal to be identified before and after the waste mobile terminal is started is combined with the input information of the delivery personnel, the state that whether the waste mobile terminal can be started is identified and obtained, the process can be expressed as,
Figure BDA0002286549290000046
wherein,
Figure BDA0002286549290000047
the process of identifying the starting state of the waste mobile terminal by fusing the interactive information and the collected images is shown, and obviously, the identification of whether the waste mobile terminal can be started can be completed by judging whether the brightness degrees of the two images are consistent.
The detailed flow is shown in fig. 2.
Interface detects and back image acquisition module, and specific process is:
the input of the module is the starting state of the waste mobile terminal to be identified
Figure BDA0002286549290000048
Waste mobile terminal X and interactive information KHMIAnd the output is the interface state of the waste mobile terminal to be identified
Figure BDA0002286549290000049
And its back image
Figure BDA00022865492900000410
The intermediate processing process comprises the steps of collecting images on the back of the waste mobile terminal and connecting the waste mobile terminal with an interfaceAnd detecting and the like.
Aiming at the waste mobile terminal X to be identified which has acquired the starting state, the following processes are executed:
firstly, the man-machine interaction operation of the delivery personnel and the recovery equipment is used for guiding the delivery personnel to place the waste mobile terminal at a detection position and connecting a data line to an interface of the waste mobile terminal, then a back image of the waste mobile terminal is obtained through a camera device arranged below the detection position, and the process can be expressed as,
Figure BDA00022865492900000411
wherein,
Figure BDA00022865492900000412
the method is used for acquiring the back images of the waste mobile terminals to be identified under the cooperation of delivery users.
Then, measuring the voltage value of the interface of the waste mobile terminal to be recovered by adopting an internal detection circuit of the recovery equipment, if the voltage value is increased and is kept stable for a period of time, determining that the interface of the waste mobile terminal is intact, and showing that the waste mobile terminal can be accessed through a UBS line, so as to obtain relevant information such as the model of the waste mobile terminal; if the interface voltage value is not changed or the voltage value is not stable, the interface of the waste mobile terminal is determined to be damaged, and the process can be expressed as,
Figure BDA0002286549290000051
wherein f ischeckAnd the (-) shows the process of detecting the interface state of the waste mobile terminal to be identified under the cooperation of the delivery user.
The detailed flow is shown in fig. 3.
The internal information acquisition module comprises the following specific processes:
the input of the module is the interface state of the waste mobile terminal
Figure BDA0002286549290000052
And is to be identifiedThe waste mobile terminal X outputs the internal information of the waste mobile terminal
Figure BDA0002286549290000053
The intermediate processing process comprises sub-modules of authority acquisition, internal information acquisition and the like.
Aiming at the waste mobile terminal X which has acquired the interface state, the following processes are executed:
firstly, according to the difference of the interface states of the waste mobile terminals, the authority of the waste mobile terminals in the normal interface states is obtained, so that the recovery equipment obtains the authority of accessing the configuration parameters of the waste mobile terminals, and the process can be expressed as,
Figure BDA0002286549290000054
wherein
Figure BDA0002286549290000055
Representing a process of acquiring the rights of the old and useless mobile terminals,
Figure BDA0002286549290000056
and representing the current permission obtaining state of the waste mobile terminal.
And then collecting the configuration parameters of the waste mobile terminal, wherein the process can be expressed as,
Figure BDA0002286549290000057
wherein f iscollectThe (-) shows the process of the recovery equipment for collecting the information of the waste mobile terminal,
Figure BDA0002286549290000058
and representing the extracted internal information of the waste mobile terminal.
The detailed flow is shown in fig. 4.
Retrieve and equip network state detection and intelligent recognition module based on multisource characteristic, concrete process is:
the module is input as a standbyStarting-up state of waste mobile terminal
Figure BDA0002286549290000059
Interface status
Figure BDA00022865492900000510
Front image before and after starting up
Figure BDA00022865492900000511
And
Figure BDA00022865492900000512
back image
Figure BDA00022865492900000513
Internal information
Figure BDA00022865492900000514
And recovering the equipment current network signal
Figure BDA00022865492900000515
The output is the waste mobile terminal Y based on local or remote mode identification, and the intermediate processing process comprises sub-modules of recovery equipment network state detection, multi-source feature acquisition, a local identification mode, a remote identification mode and the like.
Aiming at the waste mobile terminal X to be identified which has acquired the starting state and the interface state, the following processes are executed:
firstly, a local recovery equipment end identification database and a remote cloud end identification database of the waste mobile terminal are established for the recovery equipment.
Local identification database
Figure BDA00022865492900000516
The basic structure of (A) is as follows:
Figure BDA0002286549290000061
wherein, { Model }local,Memory capacitylocal,AbrasionlocalThe expression represents the identification information of the waste mobile terminal of the local recycling equipment end, which consists of the model, the memory capacity, the abrasion degree and the like,
Figure BDA0002286549290000062
and expressing the multi-source characteristics of the waste mobile terminal, wherein the multi-source characteristics comprise front images, back images, interface states, internal information and the like.
Remote cloud identification database
Figure BDA0002286549290000063
The basic structure of (A) is as follows:
Figure BDA0002286549290000064
wherein, { Model }remote,Memory capacityremote,AbrasionremoteAnd represents the identification information of the waste mobile terminal, wherein the remote cloud terminal comprises the model, the memory capacity, the abrasion degree and the like.
Then, the acquisition of multi-source characteristics is carried out, including image characteristic extraction, startup state acquisition, interface state acquisition and internal information acquisition of the waste mobile terminal under the normal interface state, and then the multi-source characteristics are divided into 3 groups by combining the interface state and the startup state, namely: front and back image features under abnormal starting state and interface state
Figure BDA0002286549290000065
Front and back image characteristics before and after starting up under normal starting up state and abnormal interface state
Figure BDA0002286549290000066
Front and back image characteristics and internal information before and after startup under normal startup state and normal interface state
Figure BDA0002286549290000067
The process can be expressed as a process that,
Figure BDA0002286549290000068
Figure BDA0002286549290000069
wherein,
Figure BDA00022865492900000610
representing the image feature extraction procedure, fgroupThe method comprises the following steps of (1) representing a multi-source feature grouping process based on the starting state and the interface state of the waste mobile terminal.
The detection of the status of its network is then performed on the basis of the recovery equipment, which process can be represented as,
Figure BDA00022865492900000611
wherein
Figure BDA00022865492900000612
Indicating the status of the network of the recovery equipment,
Figure BDA00022865492900000613
representing the process of testing the amount of network connection by an internet packet explorer built into the recycling equipment,
Figure BDA00022865492900000614
denotes the current network signal of the recycling equipment, and W denotes the recycling equipment proposed in this application.
Then, if
Figure BDA00022865492900000615
If the abnormal condition is detected, a local recognition mode is performed, and a local database based on recovery equipment is required
Figure BDA00022865492900000616
Case matching is performed according to the 3 sets of features for equation (14), respectively, which can be expressed as,
Figure BDA0002286549290000071
if it is
Figure BDA0002286549290000072
If the data is normal, a remote identification mode is carried out, and the data needs to be based on a remote cloud database
Figure BDA0002286549290000073
Case matching is performed according to the 3 sets of features for equation (14), respectively, which can be expressed as,
Figure BDA0002286549290000074
wherein,
Figure BDA0002286549290000075
and
Figure BDA0002286549290000076
the mapping model for identifying the waste mobile terminal in the local and remote identification modes is realized by adopting a case reasoning algorithm,
reference documents based on case-based reasoning algorithms: "Severe, Qianliemin, Wangpo. case inference attribute weight distribution model comparison study [ J ]. Automation journal, 2014,40(09): 1896-;
furthermore, in normal network conditions, the local database needs to be updated based on the remote database, i.e. the local database needs to be updated
Figure BDA0002286549290000077
The detailed flow is shown in fig. 5.
The application provides an intelligent identification method of the waste mobile terminal, which is formed by a starting detection and front image acquisition module, an interface detection and back image acquisition module, an internal information acquisition module, a network state detection of the recovery equipment and an intelligent identification module based on multi-source characteristics. The innovation is that: comprehensively considering whether the waste mobile terminal can be started, whether the interface is in a normal state and whether the recovery equipment network is in a normal state, and carrying out local or remote identification on the waste mobile terminal based on the multi-source characteristics.
Reference to the literature
[1] Yi Jianfeng, Wang Asia Tao, Xuhe, the international experience of waste mobile phone recovery management and the revelation to China [ J ]. ecological economy, 2014,30(11):177 + 180+187.
[2] Dianthus altissima, Wanxinyu, Sun Huaiyu, Zhang Yu, Wangyalin, Liuqingrui and Idle mobile phone recycle [ J ] cooperation economy and technology, 2019(11): 127-.
[3] Chinese Community 2018 domestic Mobile phone market operation analysis report [ EB/OL ]
[4] Huangrong, design and implementation of a waste mobile phone recovery system based on an EPR system [ D ]. Beijing post and telecommunications university, 2019.
[5] Liu Zheng, Yangjinghuazeng, Baijian Feng and Wangjing, discussion and suggestion of improving the existing recovery mode of waste mobile phones [ J ]. renewable resources and recycling economy, 2016,9(04):31-35.
[6] Hunan Tan university, an efficient and intelligent waste mobile phone reset, CN201610216914.0[ P ].2016-07-20.
[7] Guangzhou Green Yi information technology limited, cell-phone identification structure and recovery unit: CN201821791989.2[ P ].2019-05-03.
[8] Shenzhen elutriation and Green information science and technology Limited, a mobile phone intelligent recovery system and a method thereof are provided, CN201510130830.0[ P ] 2015-06-17.
[9]M.Stutz,V.M.Thomas,S.Saar.Linking bar codes to recyclinginformation for mobile phones[J].IEEE International Symposium on Electronicsand the Environment,2004,24May 2004.
[10] Hongfujin precision electronics (Zhengzhou) Co., Ltd., honghai precision industry Co., Ltd. cell phone recycling equipment and method, China, CN201710158605.7[ P ].2018-10-9.
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[12] Guangzhou Green Yi information technology Co., Ltd. cell phone recovery unit CN201320803180.8[ P ].2014-05-07.

Claims (5)

1. A waste mobile terminal intelligent identification method based on recovery equipment is characterized in that,
step 1, adopting a startup detection and front image acquisition module, carrying out startup state detection by cooperation of a delivery user of the waste mobile terminal, and acquiring front images of the waste mobile terminal before and after startup or the front image of the waste mobile terminal which cannot be started;
step 2, detecting the state of the interface of the waste mobile terminal by adopting an internal information acquisition module through connecting a data line, and acquiring a back image of the waste mobile terminal placed at the detection position of the recovery equipment through a camera device;
step 3, adopting an interface detection and back image acquisition module to acquire the authority and extract information of the waste mobile terminal with a normal interface;
and 4, detecting the network state of the recovery equipment by adopting a network state detection module of the recovery equipment and an intelligent identification module based on multi-source characteristics, and fusing the multi-source information to respectively perform intelligent identification on the waste mobile terminals in normal and abnormal modes of the network state of the recovery equipment.
2. The intelligent waste mobile terminal identification method based on the recycling equipment as claimed in claim 1, wherein the startup detection and front image acquisition module comprises the following specific processes:
the module inputs interactive information K provided by the waste mobile terminal X to be identified and the delivery userHMIAnd outputting the starting state of the waste mobile terminal to be identified
Figure FDA0002286549280000011
And front images before and after starting up
Figure FDA0002286549280000012
And
Figure FDA0002286549280000013
aiming at the waste mobile terminal X to be identified, the following processes are executed:
firstly, a delivery user lights a screen of a recycling machine according to a recycling equipment prompt; furthermore, the delivery personnel put the waste mobile terminal to be identified according to the voice and character prompts of the recovery equipment, so that the camera at the front end of the recovery equipment enters an open state. The process is as follows from the description of the process,
Figure FDA0002286549280000014
wherein,
Figure FDA0002286549280000015
represents the human-computer interaction process of the delivery user and the recovery equipment,
Figure FDA0002286549280000016
indicating that the front camera of the recovery equipment enters an open state,
then, the front-end camera of the recycling equipment firstly acquires a front image of the screen of the waste mobile terminal to be identified which is not started or is lightened, and then prompts a delivery user to execute the operation of starting or lightening the screen of the waste mobile terminal, so as to acquire the front image after starting, wherein the process can be expressed as,
Figure FDA0002286549280000017
wherein,
Figure FDA0002286549280000018
the method comprises the steps of representing the process of acquiring front images of the waste mobile terminal to be identified before and after starting up under the cooperation of a delivery user;
finally, the difference degree of the front images of the waste mobile terminal to be identified before and after the waste mobile terminal is started is combined with the input information of the delivery personnel, the state that whether the waste mobile terminal can be started is identified and obtained, the process can be expressed as,
Figure FDA0002286549280000021
wherein,
Figure FDA0002286549280000022
the process of identifying the starting state of the waste mobile terminal by fusing the interactive information and the collected images is shown, and obviously, the identification of whether the waste mobile terminal can be started can be completed by judging whether the brightness degrees of the two images are consistent.
3. The intelligent waste mobile terminal identification method based on the recycling equipment as claimed in claim 2, wherein the internal information acquisition module comprises the following specific processes:
the input of the module is the starting state of the waste mobile terminal to be identified
Figure FDA0002286549280000023
Waste mobile terminal X and interactive information KHMIAnd the output is the interface state of the waste mobile terminal to be identified
Figure FDA0002286549280000024
And its back image
Figure FDA0002286549280000025
Aiming at the waste mobile terminal X to be identified which has acquired the starting state, the following processes are executed:
firstly, the man-machine interaction operation of the delivery personnel and the recovery equipment is used for guiding the delivery personnel to place the waste mobile terminal at a detection position and connecting a data line to an interface of the waste mobile terminal, then a back image of the waste mobile terminal is obtained through a camera device arranged below the detection position, and the process can be expressed as,
Figure FDA0002286549280000026
wherein,
Figure FDA0002286549280000027
showing the process of acquiring the back image of the waste mobile terminal to be identified under the cooperation of the delivery user,
then, measuring the voltage value of the interface of the waste mobile terminal to be recovered by adopting an internal detection circuit of the recovery equipment, if the voltage value is increased and is kept stable for a period of time, determining that the interface of the waste mobile terminal is intact, and showing that the waste mobile terminal can be accessed through a UBS line, thereby obtaining the model related information of the waste mobile terminal; if the interface voltage value is not changed or the voltage value is not stable, the interface of the waste mobile terminal is determined to be damaged, and the process can be expressed as,
Figure FDA0002286549280000028
wherein f ischeckAnd the (-) shows the process of detecting the interface state of the waste mobile terminal to be identified under the cooperation of the delivery user.
4. The intelligent waste mobile terminal identification method based on the recycling equipment as claimed in claim 3, wherein the interface detection and back image acquisition module comprises the following specific processes:
the input of the module is the interface state of the waste mobile terminal
Figure FDA0002286549280000029
And outputting the waste mobile terminal X to be identified as the internal information of the waste mobile terminal
Figure FDA00022865492800000210
Aiming at the waste mobile terminal X which has acquired the interface state, the following processes are executed:
firstly, according to the difference of the interface states of the waste mobile terminals, the authority of the waste mobile terminals in the normal interface states is obtained, so that the recovery equipment obtains the authority of accessing the configuration parameters of the waste mobile terminals, and the process can be expressed as,
Figure FDA0002286549280000031
wherein
Figure FDA0002286549280000032
Representing a process of acquiring the rights of the old and useless mobile terminals,
Figure FDA0002286549280000033
representing the current permission obtaining state of the waste mobile terminal;
and then collecting the configuration parameters of the waste mobile terminal, wherein the process can be expressed as,
Figure FDA0002286549280000034
wherein f iscollectThe (-) shows the process of the recovery equipment for collecting the information of the waste mobile terminal,
Figure FDA0002286549280000035
and representing the extracted internal information of the waste mobile terminal.
5. The intelligent waste mobile terminal identification method based on the recovery equipment as claimed in claim 4, wherein the network state detection and intelligent identification module based on the multi-source characteristics of the recovery equipment comprises the following specific processes:
the input of the module is the starting state of the waste mobile terminal to be identified
Figure FDA0002286549280000036
Interface status
Figure FDA0002286549280000037
Front image before and after starting up
Figure FDA0002286549280000038
And
Figure FDA0002286549280000039
back image
Figure FDA00022865492800000310
Internal information
Figure FDA00022865492800000311
And recovering the equipment current network signal
Figure FDA00022865492800000312
Outputting a waste mobile terminal Y based on local or remote mode identification;
aiming at the waste mobile terminal X to be identified which has acquired the starting state and the interface state, the following processes are executed:
firstly, establishing a local recovery equipment terminal identification database and a remote cloud identification database of the waste mobile terminal aiming at the recovery equipment,
local identification database
Figure FDA00022865492800000313
The basic structure of (A) is as follows:
Figure FDA00022865492800000314
wherein, { Model }local,Memory capacitylocal,Abrasionlocal…, the identification information of the waste mobile terminal consisting of model, memory capacity and abrasion degree of the local recycling equipment end is shown,
Figure FDA00022865492800000315
the method comprises the steps of representing multi-source characteristics of the waste mobile terminal, wherein the multi-source characteristics comprise a front image, a back image, an interface state and internal information characteristics;
remote cloud identification database
Figure FDA00022865492800000316
The basic structure of (A) is as follows:
Figure FDA00022865492800000317
wherein, { Model }remote,Memory capacityremote,Abrasionremote…, representing the identification information of the waste mobile terminal, which is composed of the model, the memory capacity and the abrasion degree of the remote cloud;
then, the acquisition of multi-source characteristics is carried out, including image characteristic extraction, startup state acquisition, interface state acquisition and internal information acquisition of the waste mobile terminal under the normal interface state, and then the multi-source characteristics are divided into 3 groups by combining the interface state and the startup state, namely: front and back image features under abnormal starting state and interface state
Figure FDA0002286549280000041
Front and back image characteristics before and after starting up under normal starting up state and abnormal interface state
Figure FDA0002286549280000042
Front and back image characteristics and internal information before and after startup under normal startup state and normal interface state
Figure FDA0002286549280000043
The process can be expressed as a process that,
Figure FDA0002286549280000044
Figure FDA0002286549280000045
wherein,
Figure FDA0002286549280000046
representing the image feature extraction procedure, fgroupThe (h) represents the multi-source characteristic grouping process based on the starting state and the interface state of the waste mobile terminal,
the detection of the status of its network is then performed on the basis of the recovery equipment, which process can be represented as,
Figure FDA0002286549280000047
wherein
Figure FDA0002286549280000048
Indicating the status of the network of the recovery equipment,
Figure FDA0002286549280000049
representing the process of testing the amount of network connection by an internet packet explorer built into the recycling equipment,
Figure FDA00022865492800000410
denotes the current network signal of the recycling equipment, W denotes the recycling equipment proposed in this application,
then, if
Figure FDA00022865492800000411
If the abnormal condition is detected, a local recognition mode is performed, and a local database based on recovery equipment is required
Figure FDA00022865492800000412
Case matching is performed according to the 3 sets of features for equation (14), respectively, which can be expressed as,
Figure FDA00022865492800000413
if it is
Figure FDA00022865492800000414
If the data is normal, a remote identification mode is carried out, and the data needs to be based on a remote cloud database
Figure FDA00022865492800000415
Case matching is performed according to the 3 sets of features for equation (14), respectively, which can be expressed as,
Figure FDA0002286549280000051
wherein,
Figure FDA0002286549280000052
and
Figure FDA0002286549280000053
representing a mapping model for identifying the waste mobile terminal in a local and remote identification mode; furthermore, in normal network conditions, the local database needs to be updated based on the remote database, i.e. the local database needs to be updated
Figure FDA0002286549280000054
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CN118712543A (en) * 2024-08-28 2024-09-27 北京凌禾科技有限公司 Waste battery discharge management method and device
CN118712543B (en) * 2024-08-28 2024-11-15 北京凌禾科技有限公司 Waste battery discharge management method and device

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