CN110164052A - A kind of equipment monitoring system and method - Google Patents

A kind of equipment monitoring system and method Download PDF

Info

Publication number
CN110164052A
CN110164052A CN201910510491.7A CN201910510491A CN110164052A CN 110164052 A CN110164052 A CN 110164052A CN 201910510491 A CN201910510491 A CN 201910510491A CN 110164052 A CN110164052 A CN 110164052A
Authority
CN
China
Prior art keywords
main control
control computer
real
ultimate cost
bill
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910510491.7A
Other languages
Chinese (zh)
Inventor
王超
刘艳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Chengxi Business Information Consulting Co Ltd
Original Assignee
Chengdu Chengxi Business Information Consulting Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Chengxi Business Information Consulting Co Ltd filed Critical Chengdu Chengxi Business Information Consulting Co Ltd
Priority to CN201910510491.7A priority Critical patent/CN110164052A/en
Publication of CN110164052A publication Critical patent/CN110164052A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
    • G06K17/0025Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07FCOIN-FREED OR LIKE APPARATUS
    • G07F17/00Coin-freed apparatus for hiring articles; Coin-freed facilities or services
    • G07F17/0014Coin-freed apparatus for hiring articles; Coin-freed facilities or services for vending, access and use of specific services not covered anywhere else in G07F17/00

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Alarm Systems (AREA)

Abstract

The present embodiments relate to technical field of video monitoring, specifically, it is related to a kind of equipment monitoring system and method, the equipment monitoring system includes: body-building cabin, camera, mobile terminal and main control computer, camera is set in the body-building cabin, body-building cabin is mounted with fixed instrument, dumbbell and barbell, body-building cabin includes the hatch door with two-dimensional code scanning device, main control computer respectively with two-dimensional code scanning device, hatch door, camera is connected with communication of mobile terminal, main control computer prestores the depth convolutional neural networks that training finishes, main control computer is used to receive the real-time imaging in the body-building cabin of camera shooting, generate initial cost bill, and real-time imaging is identified using depth convolutional neural networks, the first ultimate cost bill is generated according to recognition result and is sent to mobile terminal.Cost is managed and maintained using what the equipment monitoring system and method can reduce body-building cabin.

Description

A kind of equipment monitoring system and method
Technical field
The present embodiments relate to intelligent body-building technical fields, in particular to a kind of equipment monitoring system and method.
Background technique
As nationwide fitness programs rise to national strategy, more and more common people start to carry out fitness training, but existing The most personnel in gymnasium are noisy, and training effect is poor, therefore, share favor of the body-building cabin increasingly by body-building personage.But it is existing The most management cost in shared body-building cabin and maintenance cost having are higher.
Summary of the invention
In view of this, the present invention provides a kind of equipment monitoring system and methods.
The embodiment of the invention provides a kind of equipment monitoring systems, including body-building cabin, camera, mobile terminal and master control meter Calculation machine;
The camera is set in the body-building cabin, and the body-building cabin is mounted with fixed instrument, dumbbell and barbell, described Body-building cabin includes the hatch door with two-dimensional code scanning device;
The main control computer respectively with the two-dimensional code scanning device, the hatch door, the camera and the movement Terminal communication connection;
The mobile terminal is for generating the verifying two dimensional code for opening the hatch door, and the two-dimensional code scanning device is for obtaining The verifying two dimensional code is obtained, the verifying two dimensional code is sent to the main control computer;
The main control computer obtains the body for including in the verifying two dimensional code for receiving the verifying two dimensional code, parsing Part information, searches whether that there are the identity informations from default identity information library, and if it exists, Xiang Suoshu hatch door and the camera shooting Hair send open command;
The hatch door is opened for receiving the open command according to the open command;
The camera for receiving the open command, according to the open command to the situation in the body-building cabin into Row captured in real-time is sent to the main control computer to obtain real-time imaging, by the real-time imaging;Wherein, the real-time imaging Training image when for user using the fixed instrument, the dumbbell and the barbell;
The main control computer prestores the depth convolutional neural networks that training finishes;The main control computer is for receiving The real-time imaging, generates initial cost bill according to the duration of the real-time imaging, and the real-time imaging is inputted institute Depth convolutional neural networks are stated, identify the training behavior of the user, judge whether the trained behavior is uncivil training Behavior increases extra charge on the basis of the initial cost bill if the trained behavior is uncivil trained behavior, with The first ultimate cost bill is obtained, the first ultimate cost bill is sent to the mobile terminal;
The mobile terminal is for receiving the first ultimate cost bill and showing.
Optionally, the main control computer is also used to obtain the corresponding expense billing history record of the identity information, looks into It looks in the expense billing history record with the presence or absence of the multiple first ultimate cost bills continuously generated, and if it exists, connected Continue the quantity of the multiple first ultimate cost bills generated, the number of the multiple first ultimate cost bills continuously generated described in judgement Whether amount is more than the first setting value, if the quantity of the multiple first ultimate cost bills continuously generated is more than described first to set The identity information is included in punishment list by definite value.
Optionally, the main control computer is also used to:
Judge whether the trained behavior is civilization training behavior, if the trained behavior is civilization training behavior, in institute It states and reduces the extra charge on the basis of initial cost bill, it is final by described second to obtain the second ultimate cost bill Expense bill is sent to the mobile terminal.
Optionally, the main control computer is also used to obtain the corresponding expense billing history record of the identity information, looks into It looks in the expense billing history record with the presence or absence of the multiple second ultimate cost bills continuously generated, and if it exists, connected Continue the quantity of the multiple second ultimate cost bills generated, the number of the multiple second ultimate cost bills continuously generated described in judgement Whether amount is more than the second setting value, if the quantity of the multiple second ultimate cost bills continuously generated is more than described second to set The identity information is included in reward list by definite value.
Optionally, the main control computer is also used to carry out the depth convolutional neural networks according to real-time imaging secondary Training.
The embodiment of the invention also provides a kind of apparatus monitoring methods, are applied to a kind of above-mentioned equipment monitoring system, described Method includes:
The mobile terminal generates the verifying two dimensional code for opening the hatch door, tests described in the two-dimensional code scanning device acquisition Two dimensional code is demonstrate,proved, the verifying two dimensional code is sent to the main control computer;
The main control computer receives the verifying two dimensional code, and parsing obtains the identity letter for including in the verifying two dimensional code Breath, searches whether that there are the identity informations from default identity information library, and if it exists, Xiang Suoshu hatch door and the camera shooting hair Send open command;
The hatch door receives the open command, is opened according to the open command;
The camera receives the open command, is carried out according to the open command to the situation in the body-building cabin real When shooting to obtain real-time imaging, the real-time imaging is sent to the main control computer;Wherein, the real-time imaging is to use Training image when family is using the fixed instrument, the dumbbell and the barbell;
The main control computer receives the real-time imaging, generates initial cost according to the duration of the real-time imaging The real-time imaging is inputted the depth convolutional neural networks by bill, identifies the training behavior of the user, described in judgement Whether training behavior is uncivil trained behavior, if the trained behavior is uncivil trained behavior, in the initial cost account Increase extra charge on the basis of list, to obtain the first ultimate cost bill, the first ultimate cost bill is sent to institute State mobile terminal;
The mobile terminal is for receiving the first ultimate cost bill and showing.
Optionally, the method also includes:
The main control computer also obtains the corresponding expense billing history record of the identity information;
It searches in the expense billing history record with the presence or absence of the multiple first ultimate cost bills continuously generated, if depositing Obtaining the quantity of the multiple first ultimate cost bills continuously generated;
Whether the quantity of the multiple first ultimate cost bills continuously generated described in judgement is more than the first setting value, if described The quantity of the multiple first ultimate cost bills continuously generated is more than first setting value, and the identity information is included in punishment List.
Optionally, the method also includes:
The main control computer judges whether the trained behavior is civilization training behavior, if the trained behavior is civilization Training behavior, reduces the extra charge on the basis of initial cost bill, will to obtain the second ultimate cost bill The second ultimate cost bill is sent to the mobile terminal.
Optionally, the method also includes:
The main control computer also obtains the corresponding expense billing history record of the identity information;
It searches in the expense billing history record with the presence or absence of the multiple second ultimate cost bills continuously generated, if depositing Obtaining the quantity of the multiple second ultimate cost bills continuously generated;
Whether the quantity of the multiple second ultimate cost bills continuously generated described in judgement is more than the second setting value, if described The quantity of the multiple second ultimate cost bills continuously generated is more than second setting value, and the identity information is included in reward List.
Optionally, the method also includes:
The main control computer carries out second training to the depth convolutional neural networks according to real-time imaging
A kind of equipment monitoring system provided in an embodiment of the present invention and method, what main control computer can shoot camera Real-time imaging carries out discriminance analysis, uncivil to training behavior to show whether training behavior of the user in body-building cabin be civilized The additional extra charge of user, so set, can user be exercised supervision and be reminded, and then make user using body-building cabin When it can be noted that various uncivil behaviors, avoid work people enter later body-building cabin carry out it is additional tidy up and arrange, drop Low body-building cabin manages and maintains cost.
Further, its identity information can be included in for the user for occurring uncivil behavior when body-building cabin is used for multiple times It punishes list, so set, enough play a warning role the user for uncivil behavior occur, further decreases the management in body-building cabin And maintenance cost.
Further, part expense deduction and exemption can be carried out to the user of training behavior civilization, so set, use can be motivated Family uses body-building cabin more civilizedly, and then reduces body-building cabin and manage and maintain cost.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this A little attached drawings obtain other relevant attached drawings.
Fig. 1 is a kind of structural block diagram of equipment monitoring system 100 provided by the embodiment of the present invention.
Fig. 2 is a kind of flow chart of apparatus monitoring method provided by the embodiment of the present invention.
Fig. 3 is the sub-step schematic diagram of step S26 shown in Fig. 2 in an embodiment.
Icon:
100- equipment monitoring system;
1- body-building cabin;11- hatch door;111- two-dimensional code scanning device;12- fixes instrument;13- dumbbell;14- barbell;
2- camera;
3- mobile terminal;
4- main control computer.
Specific embodiment
The using flexible victory in shared body-building cabin, can cater to the demand of most of busy office workers: take exercise whenever and wherever possible, It does not need to turn from side to side again and rises large scale business gymnasium and other member robs equipment training.But inventor further investigation reveals that, altogether Enjoying body-building cabin, there is also some problems, for example, management cost and maintenance cost are higher, to find out its cause, mainly using shared strong The user in body cabin can have uncultivated behavior, for example, malice beats instrument, throw away rubbish freely everywhere, wear high heels, spikes carry out Training etc., since shared body-building cabin quantity is more, if each shared body-building cabin arranges administrative staff to exercise supervision, cost compared with Height, therefore, existing solution after user uses body-building cabin, arrange administrative staff to tidy up and arrange mostly, Therefore management cost and maintenance cost are higher.
Defect present in the above scheme in the prior art, is that inventor is obtaining after practicing and carefully studying As a result, therefore, the solution that the discovery procedure of the above problem and the hereinafter embodiment of the present invention are proposed regarding to the issue above Scheme all should be the contribution that inventor makes the present invention in process of the present invention.
Based on the studies above, the embodiment of the invention provides a kind of equipment monitoring system and methods, are used by setting strong Some rewards and penalties in body cabin, and then realize the constraint to user behavior, it is effectively reduced and manages and maintains cost.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment only It is a part of the embodiments of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings The component of embodiment can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
Fig. 1 shows a kind of structural schematic diagram of equipment monitoring system 100, You Tuke provided by the embodiment of the present invention See, which includes body-building cabin 1, camera 2, mobile terminal 3 and main control computer 4.Wherein, camera 2 is set It is placed in body-building cabin 1, body-building cabin 1 is mounted with fixed instrument 12, dumbbell 13 and barbell 14, and body-building cabin 1 further includes with two dimensional code The hatch door 11 of scanning means 111, main control computer 4 respectively with the two-dimensional code scanning device 111, hatch door 11, camera 2 and move Dynamic terminal 3 communicates to connect.
It is appreciated that user is swept at two-dimensional code scanning device 111 by the verifying two dimensional code that mobile terminal 3 generates It retouches, to be trained into body-building cabin, camera 2 can shoot the real-time imaging of this training of user, be then forwarded to master control Computer 4, main control computer 4 analyze Real Time Effect using depth convolutional neural networks, identify the training row of user Whether being civilized, and then corresponding expense bill is generated, so set, behavior or unliterary can be trained according to the civilization of user Bright trained behavior generates corresponding rewards and punishments bill, and then uses body-building cabin from side constraint user's civilization, reduces later stage work re Personnel's manages and maintains cost.
Referring to Fig. 2, for a kind of flow chart of apparatus monitoring method provided by the embodiment of the present invention, this method is applied to Equipment monitoring system 100 in Fig. 1, the specific steps are as follows:
Step S21, mobile terminal generate the verifying two dimensional code for being used for opened door, and two-dimensional code scanning device obtains the verifying The verifying two dimensional code is sent to main control computer by two dimensional code.
In the present embodiment, mobile terminal 3 can be mobile phone, it will be understood that user A is generated by mobile phone for opening cabin The verifying two dimensional code of door 11, two-dimensional code scanning device 111 obtain the verifying two dimensional code and send it to main control computer 4.
Step S22, main control computer receive the verifying two dimensional code, and parsing obtains the identity letter for including in the verifying two dimensional code Breath, searches whether that there are the identity informations from default identity information library.
It is appreciated that main control computer 4 is the core of whole equipment monitoring system 100, main control computer 4 receives the verifying Two dimensional code, parsing obtain identity information IDA, then search whether that there are ID from default identity information libraryA, and if it exists, show to use Family A is registered to use body-building cabin 1, turns to step S23, if it does not exist, shows that user A is also unregistered and uses body-building cabin 1, turn to step Rapid S24.
Step S23, main control computer send open command to hatch door and camera.
The registered member as body-building cabin 1 of user A, therefore main control computer 4 sends to hatch door 11 and camera 2 and opens Instruction.
Step S24, main control computer send prompt information to terminal device.
The also unregistered member as body-building cabin 1 of user A, main control computer 4 to the transmission of mobile terminal 3, " ask by authentication failed The prompt information of first registered members ".
Step S25, hatch door receive open command, are opened according to sign on, and camera receives open command, according to Real-time imaging is sent to main control computer to carrying out implementing shooting in body-building cabin to obtain real-time imaging by open command.
It is appreciated that hatch door 11 is opened, user A, which enters in body-building cabin 1, to be trained, and 2 captured in real-time of camera is to obtain Real-time imaging, wherein real-time imaging is training image when user uses fixed instrument 12, dumbbell 13 and barbell 14.
Real-time imaging is sent to main control computer 4 by camera 2.
Step S26, main control computer receive real-time imaging, generate initial cost account according to the duration of real-time imaging It is single, real-time imaging input depth convolutional neural networks are identified, recognition result are obtained, according to recognition result to initial cost Bill is adjusted, and to obtain ultimate cost bill, ultimate cost bill is sent to mobile terminal.
Can immediately, main control computer 4 prestores the depth convolutional neural networks that finish of training, for real-time imaging into Row identification, and can be adjusted on the basis of initial cost bill according to recognition result, it is embodied from expense with realizing " rewards and punishments measure " to user behavior.
Fig. 3 is please referred to, the embodiment of the present invention passes through step S261, step S262, step S263, step S264 and step Rapid S265 lists one of implementation of step S26.
Step S261 receives real-time imaging, generates initial cost bill according to the duration of real-time imaging.
It is appreciated that main control computer 4 can extract the duration of real-time imaging, the initial cost bill of generation be by Charging, such as 20 yuan/hour are carried out according to normal use situation, it should be understood that initial cost bill is in most cases only used In reference or as a reference line, the ultimate cost bill generated later can carry out centainly on the basis of initial cost bill The increase and decrease of degree.
Real-time imaging is inputted depth convolutional neural networks, identifies the training behavior of user by step S262.
It is appreciated that training behavior there are many including in depth convolutional neural networks, such as: wear slippers or high-heeled shoes instruction White silk, violence fall and get rid of instrument, instrument has been used instrument not to playback, and do not take away carry-on rubbish etc..
Master control calculates and 4 can accurately identify the above behavior using depth convolutional neural networks, to obtain user A All trained behaviors during this period of time.
Whether step S263, training of judgement behavior are civilized.
It is appreciated that body-building cabin belongs to public property, civilized training behavior is worth advocating, and uncultivated trained behavior Need to condemn, and uncultivated trained behavior usually will cause body-building cabin manage and maintain increased costs, for example, wearing high heels Training may be damaged ground glue in body-building cabin, and violence, which is fallen, gets rid of instrument and may greatly reduce the use scope etc. of instrument.
Therefore, compared with the management mode of existing body-building cabin, of the invention sets about from video image emphatically, judges user's Whether training behavior is civilized, and embodies from last charge.
Step S264 increases extra charge on the basis of initial cost bill, to obtain the first ultimate cost bill.
It is appreciated that main control computer 4 can increase according to uncivil trained behavior if user is there are uncivil trained behavior Extra charge is as punishment, for example, a type of uncivil trained behavior if it exists, increases on the basis of initial cost bill Add 5 yuan of rejection penalty.
In another example if violence is using fixed instrument 12 during user A is trained at this moment, and dumbbell 13 does not playback, initially Expense bill is 10 yuan (user A uses body-building cabin half an hour), the first ultimate cost bill that main control computer generates at this time For 20 (10+5+5) member.So set, user A after receiving the first expense bill, can pay for the uncivil behavior of oneself Certain cost, and then civilized training is paid attention to when using body-building cabin next time from side constraint user A.
Step S265 reduces extra charge on the basis of initial cost bill, to obtain the second ultimate cost bill.
If being appreciated that there is civilization training behavior in user, and main control computer 4 can reduce additional according to civilization training behavior Expense is as punishment, for example, a type of civilization training behavior if it exists, reduces 3 yuan on the basis of initial cost bill Reward expense, i.e., on the basis of initial cost bill reward 3 yuan.So set, can continue to keep literary to encouragement family A Bright trained behavior.
It should be noted that each rejection penalty is different with each reward expense, so set, can mention to user one Wake up: the cost that uncivil training needs to pay is larger.By the above method, user's civilization can be constrained using body-building cabin, in turn Reduce the cost that manages and maintains in body-building cabin, the item in user's voluntary observance body-building cabin does not just have to manage after training yet Personnel enter back into body-building cabin and arrange and safeguard.
Optionally, in order to further increase rewards and punishments measure, the expense bill that main control computer 4 can also count each user is gone through Records of the Historian record, records according to expense billing history and further generates rewards and punishments measure.
For example, main control computer 4 can obtain the expense billing history record of user A, the expense billing history of user A is searched In whether continuously generate multiple first expense bills, and if it exists, whether the quantity of the multiple first expense bills continuously generated surpasses The first setting value is crossed, if being more than, user A is included in punishment list, in the present embodiment, the first setting value can be 10.It can be with Understand, if there are continuous 10 the first expense bills by user A, shows user A uncivil trained row when using body-building cabin 1 It is more serious for plot, in order to which user A is warned and reminded, user A is included in punishment list, wherein be located at punishment name User in list a period of time in do not allow using body-building cabin.
In another example whether main control computer 4 can be searched continuously generates multiple second expenses in the expense billing history of user A Bill, and if it exists, whether the quantity of the multiple second expense bills continuously generated is more than the second setting value, if being more than, by user A It is included in reward list, in the present embodiment, the first setting value can be 20, it will be understood that user's energy in reward list It is enough freely to use a body-building cabin 1.
So set, can accomplish that rewards and punishments are clearly demarcated, and then the training behavior of user is effectively constrained, to reduce Body-building cabin manages and maintains cost.
Optionally, the first setting value and the second setting value can be adjusted according to the actual situation, for example, for a certainly Area, the uncivil user using body-building cabin are in the majority, at this point it is possible to which the first setting value is suitably reduced, so, it is possible effectively to filter Fall some uncultivated users, avoids these users are repeatedly uncivil from leading to managing and maintaining for body-building cabin in turn using body-building cabin Cost increases.
It is appreciated that can be screened to user by the first setting value and the relevant judgement of the second setting value, screen The higher user of quality out formulates related service function for these users so as to subsequent.
Optionally, main control computer 4 can also carry out second training to depth convolutional neural networks according to real-time imaging, mention The recognition capability of high depth convolutional neural networks.
To sum up, a kind of equipment monitoring system and method provided by the embodiment of the present invention, can be effectively reduced body-building cabin Manage and maintain cost.
In several embodiments provided by the embodiment of the present invention, it should be understood that disclosed device and method, it can also To realize by another way.Device and method embodiment described above is only schematical, for example, in attached drawing Flow chart and block diagram show that the devices of multiple embodiments according to the present invention, method and computer program product are able to achieve Architecture, function and operation.In this regard, each box in flowchart or block diagram can represent module, a program A part of section or code, a part of the module, section or code include that one or more is patrolled for realizing defined Collect the executable instruction of function.It should also be noted that in some implementations as replacement, function marked in the box It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be held substantially in parallel Row, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/or The combination of each box in flow chart and the box in block diagram and or flow chart, can the function as defined in executing or dynamic The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a People's computer, electronic equipment or network equipment etc.) execute all or part of step of each embodiment the method for the present invention Suddenly.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), deposits at random The various media that can store program code such as access to memory (RAM, Random Access Memory), magnetic or disk. It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device. In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element Process, method, article or equipment in there is also other identical elements.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of equipment monitoring system, which is characterized in that including body-building cabin, camera, mobile terminal and main control computer;
The camera is set in the body-building cabin, and the body-building cabin is mounted with fixed instrument, dumbbell and barbell, the body-building Cabin includes the hatch door with two-dimensional code scanning device;The main control computer respectively with the two-dimensional code scanning device, described Hatch door, the camera are connected with the communication of mobile terminal;
The mobile terminal is for generating the verifying two dimensional code for opening the hatch door, and the two-dimensional code scanning device is for obtaining institute Verifying two dimensional code is stated, the verifying two dimensional code is sent to the main control computer;
The main control computer obtains the identity letter for including in the verifying two dimensional code for receiving the verifying two dimensional code, parsing Breath, searches whether that there are the identity informations from default identity information library, and if it exists, Xiang Suoshu hatch door and the camera shooting hair Send open command;
The hatch door is opened for receiving the open command according to the open command;The camera is for receiving The open command, according to the open command to the situation progress captured in real-time in the body-building cabin to obtain real-time imaging, The real-time imaging is sent to the main control computer;Wherein, the real-time imaging uses the fixed instrument, institute for user State training image when dumbbell and the barbell;
The main control computer prestores the depth convolutional neural networks that training finishes;The main control computer is described for receiving Real-time imaging, generates initial cost bill according to the duration of the real-time imaging, and the real-time imaging is inputted the depth Convolutional neural networks are spent, the training behavior of the user is identified, judges whether the trained behavior is uncivil trained behavior, If the trained behavior is uncivil trained behavior, increase extra charge on the basis of the initial cost bill, to obtain The first ultimate cost bill is sent to the mobile terminal by the first ultimate cost bill;The mobile terminal is for connecing It receives the first ultimate cost bill and shows.
2. a kind of equipment monitoring system according to claim 1, which is characterized in that the main control computer is also used to obtain The corresponding expense billing history record of the identity information is searched in the expense billing history record with the presence or absence of continuously generating Multiple first ultimate cost bills, and if it exists, the quantity for obtaining the multiple first ultimate cost bills continuously generated judges institute The quantity of the multiple first ultimate cost bills continuously generated is stated whether more than the first setting value, if it is described continuously generate it is multiple The quantity of first ultimate cost bill is more than first setting value, and the identity information is included in punishment list.
3. a kind of equipment monitoring system according to claim 1, which is characterized in that the main control computer is also used to:
Judge whether the trained behavior is civilized training behavior, if the trained behavior is civilization training behavior, described first The extra charge is reduced on the basis of beginning expense bill, to obtain the second ultimate cost bill, by second ultimate cost Bill is sent to the mobile terminal.
4. a kind of equipment monitoring system according to claim 3, which is characterized in that the main control computer is also used to obtain The corresponding expense billing history record of the identity information is searched in the expense billing history record with the presence or absence of continuously generating Multiple second ultimate cost bills, and if it exists, the quantity for obtaining the multiple second ultimate cost bills continuously generated judges institute The quantity of the multiple second ultimate cost bills continuously generated is stated whether more than the second setting value, if it is described continuously generate it is multiple The quantity of second ultimate cost bill is more than second setting value, and the identity information is included in reward list.
5. a kind of equipment monitoring system according to claim 1, which is characterized in that the main control computer is also used to basis Real-time imaging carries out second training to the depth convolutional neural networks.
6. a kind of apparatus monitoring method, which is characterized in that applied to any equipment monitoring system of Claims 1 to 5, It is characterized in that, which comprises
The mobile terminal generates the verifying two dimensional code for opening the hatch door, and the two-dimensional code scanning device obtains the verifying two Code is tieed up, the verifying two dimensional code is sent to the main control computer;
The main control computer receives the verifying two dimensional code, and parsing obtains the identity information for including in the verifying two dimensional code, Search whether that there are the identity informations from default identity information library, and if it exists, Xiang Suoshu hatch door and the camera are sent Open command;
The hatch door receives the open command, is opened according to the open command;
The camera receives the open command, is clapped in real time according to the open command the situation in the body-building cabin It takes the photograph to obtain real-time imaging, the real-time imaging is sent to the main control computer;Wherein, the real-time imaging makes for user Training image when with the fixed instrument, the dumbbell and the barbell;
The main control computer receives the real-time imaging, generates initial cost account according to the duration of the real-time imaging It is single, the real-time imaging is inputted into the depth convolutional neural networks, the training behavior of the user is identified, judges the instruction Practice whether behavior is uncivil trained behavior, if the trained behavior is uncivil trained behavior, in the initial cost bill On the basis of increase extra charge, to obtain the first ultimate cost bill, the first ultimate cost bill is sent to described Mobile terminal;
The mobile terminal is for receiving the first ultimate cost bill and showing.
7. a kind of apparatus monitoring method according to claim 6, which is characterized in that the method also includes:
The main control computer also obtains the corresponding expense billing history record of the identity information;
It searches in the expense billing history record with the presence or absence of the multiple first ultimate cost bills continuously generated, and if it exists, Obtain the quantity of the multiple first ultimate cost bills continuously generated;
Whether the quantity of the multiple first ultimate cost bills continuously generated described in judgement is more than the first setting value, if described continuous The quantity of the multiple first ultimate cost bills generated is more than first setting value, and the identity information is included in punishment name It is single.
8. a kind of apparatus monitoring method according to claim 7, which is characterized in that the method also includes:
The main control computer judges whether the trained behavior is civilization training behavior, if the trained behavior is civilization training Behavior reduces the extra charge on the basis of initial cost bill, will be described to obtain the second ultimate cost bill Second ultimate cost bill is sent to the mobile terminal.
9. a kind of apparatus monitoring method according to claim 8, which is characterized in that the method also includes:
The main control computer also obtains the corresponding expense billing history record of the identity information;
It searches in the expense billing history record with the presence or absence of the multiple second ultimate cost bills continuously generated, and if it exists, Obtain the quantity of the multiple second ultimate cost bills continuously generated;
Whether the quantity of the multiple second ultimate cost bills continuously generated described in judgement is more than the second setting value, if described continuous The quantity of the multiple second ultimate cost bills generated is more than second setting value, and the identity information is included in reward name It is single.
10. a kind of apparatus monitoring method according to claim 6, which is characterized in that the method also includes:
The main control computer carries out second training to the depth convolutional neural networks according to real-time imaging.
CN201910510491.7A 2019-06-13 2019-06-13 A kind of equipment monitoring system and method Pending CN110164052A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910510491.7A CN110164052A (en) 2019-06-13 2019-06-13 A kind of equipment monitoring system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910510491.7A CN110164052A (en) 2019-06-13 2019-06-13 A kind of equipment monitoring system and method

Publications (1)

Publication Number Publication Date
CN110164052A true CN110164052A (en) 2019-08-23

Family

ID=67628645

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910510491.7A Pending CN110164052A (en) 2019-06-13 2019-06-13 A kind of equipment monitoring system and method

Country Status (1)

Country Link
CN (1) CN110164052A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140330408A1 (en) * 2013-05-02 2014-11-06 David Rolley System and method for collecting, analyzing and reporting fitness activity data
CN107369269A (en) * 2017-08-03 2017-11-21 重庆飞豹健身管理有限公司 Self-service body building method
CN107424406A (en) * 2017-07-27 2017-12-01 甘应来 A kind of shared vehicles management method
CN108346234A (en) * 2018-03-01 2018-07-31 贵州大学 A kind of shared body-building chamber system
CN108898424A (en) * 2018-06-12 2018-11-27 佛山市灏金赢科技有限公司 Scenic spot reward system Internet-based
CN109525805A (en) * 2018-08-30 2019-03-26 新我科技(广州)有限公司 A kind of Dressing Room box intelligence control system, control method and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140330408A1 (en) * 2013-05-02 2014-11-06 David Rolley System and method for collecting, analyzing and reporting fitness activity data
CN107424406A (en) * 2017-07-27 2017-12-01 甘应来 A kind of shared vehicles management method
CN107369269A (en) * 2017-08-03 2017-11-21 重庆飞豹健身管理有限公司 Self-service body building method
CN108346234A (en) * 2018-03-01 2018-07-31 贵州大学 A kind of shared body-building chamber system
CN108898424A (en) * 2018-06-12 2018-11-27 佛山市灏金赢科技有限公司 Scenic spot reward system Internet-based
CN109525805A (en) * 2018-08-30 2019-03-26 新我科技(广州)有限公司 A kind of Dressing Room box intelligence control system, control method and storage medium

Similar Documents

Publication Publication Date Title
CN109635059A (en) People's vehicle association analysis method and system based on track similarity mode
Lan et al. Social roles in hierarchical models for human activity recognition
CN108347490A (en) A kind of campus application apparatus and system based on biological identification technology
CN104885099B (en) Algorithm is selected come the method and system efficiently classified to mobile equipment behavior using formula decision-making stub and combined feature selection function and picking is raised
CN105027550B (en) For handling visual information with the system and method for detecting event
De Figueiredo Lobbying and information in politics
CN105791299A (en) Unattended monitoring type intelligent on-line examination system
CN206272770U (en) A kind of vehicle and face bayonet system
CN110090423A (en) Body-building evaluation system
KR102250504B1 (en) SYSTEM FOR PROVIDING CUSTOMIZED WELCOME DATA BY RECOGNIZING CUSTOMER USING IoT DEVICES
CN109615572A (en) The method and system of personnel's cohesion analysis based on big data
CN113963777B (en) Military network psychological service working platform system
CN106600822A (en) Book recycling robot and control method thereof
Cook et al. Lessons from the Economics of Crime
Kumar et al. Outcome classification in cricket using deep learning
CN209297376U (en) A kind of gymnasium gate inhibition intelligent recognition managing device
CN110164052A (en) A kind of equipment monitoring system and method
CN110321834A (en) A kind of identity determines method and device, storage medium
CN110166836A (en) A kind of TV program switching method, device, readable storage medium storing program for executing and terminal device
DE102014223447A1 (en) Automated energy storage issue and return system
CN101968903B (en) Valuable file identification method and system
CN109389615A (en) Coin discriminating method and processing terminal based on deep learning convolutional neural networks
CN108154391A (en) It is a kind of that attention is detected and by the method and system of its quantification based on block chain
CN209044789U (en) For the intelligent arms locker management system of sports school
CN110838357A (en) Attention holographic intelligent training system based on face recognition and dynamic capture

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190823