CN113536004A - Real-time graph monitoring system and method - Google Patents
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Abstract
The invention discloses a real-time graph monitoring system and a method, wherein the real-time graph monitoring system comprises a graph marking unit, a real-time image unit, a marking statistical unit and a fault analysis unit; the graphic marking unit is used for acquiring the information of the picture marking label; the real-time image unit is used for dynamically acquiring the latest equipment scanning graph when the real-time image is started; the mark counting unit is used for counting comparison information of the artificial mark and the algorithm mark of the image acquired by each device at different time; the fault analysis unit is used for describing factor analysis of the equipment when a fault occurs. The real-time graph monitoring system and the method provided by the invention can intelligently identify the fault types, and are beneficial to rapidly obtaining and finding the problems through fault analysis in time and solving the problems in time.
Description
Technical Field
The invention belongs to the technical field of graph monitoring, relates to a graph monitoring system, and particularly relates to a real-time graph monitoring system and a method.
Background
In recent years, as the internet industry develops more and more mature, the industry chain and the basic ecological environment are quite perfect, the market capacity is saturated, and the internet of things serving as the next air port becomes a good breakthrough direction for numerous equipment manufacturers, network suppliers and system integrators.
With the service development requirements of the elevator internet of things, the capability of identifying the graph of the artificial intelligence algorithm is verified, the requirement of artificial mass verification is needed, the verification efficiency is low, and the identification accuracy is not high.
In view of the above, there is an urgent need to design a new pattern monitoring method to overcome at least some of the above-mentioned disadvantages of the existing pattern monitoring methods.
Disclosure of Invention
The invention provides a real-time graph monitoring system and a real-time graph monitoring method, which can intelligently identify fault types, and are beneficial to quickly obtaining and finding problems through fault analysis in time and solving the problems in time.
In order to solve the technical problem, according to one aspect of the present invention, the following technical solutions are adopted:
a real-time graphical monitoring system, the real-time graphical monitoring system comprising:
the graphic marking unit is used for acquiring the information of the picture marking label;
the real-time image unit is used for dynamically acquiring the latest equipment scanning graph when the real-time image is started; and
and the mark counting unit is used for counting comparison information of the artificial mark and the algorithm mark of the image acquired by each device at different time.
As an embodiment of the present invention, the real-time graph monitoring system further includes a failure analysis unit, which is used to describe factor analysis of the equipment when a failure occurs.
As an embodiment of the present invention, the marking statistical unit judges whether the marking result of the corresponding algorithm mark is accurate according to the marking result of the manual marking, and feeds back the result of judging whether the marking result is accurate to the algorithm mark, and the algorithm mark adjusts the marking algorithm according to the feedback result, thereby optimizing the marking algorithm of the algorithm mark.
As an embodiment of the present invention, the graphic marking unit is configured to display statistics of pictures recognized today, a search bar and a date selection button for searching for a device that needs to view a scanned image are provided in the operation bar, all scanned images obtained by the device that a user wants to view on a certain day are found through the search bar and the date selection control, and label information is marked for the obtained pictures, including appearance labels of an adult, an adult female, an adult male, a minor female, an immature male, a long hair, a short hair, and a bare head, the pictures are switched through buttons of a first picture, a last picture, a next picture, and a last picture, a time point corresponding to a currently displayed picture is displayed below, and after the marking is completed, a next piece of label information related to the picture is clicked and automatically submitted to the system.
As an embodiment of the present invention, the scanning image is obtained by a contour drawing unit, and the contour drawing unit is used for drawing a contour image of a person or/and an object passing through a set area according to signals obtained by each receiver; and drawing the contour image of the person or/and the object between the set areas at the set time point through the signal whether the receiver senses the shielding or not at the set time point in each time period, and forming the contour image of the person or/and the object passing through the set areas in the set time period.
As an embodiment of the present invention, the real-time image unit is configured to dynamically obtain a latest device scanning pattern when a real-time image is turned on, and the most different from the pattern label is that when a real-time button is turned on, a latest obtained pattern of the current device on the same day is automatically obtained, and it is not necessary to manually click a next picture button to switch pictures, so that the experience of a user is improved, and the user can use the image more smoothly.
As an implementation manner of the present invention, the tag statistics unit is configured to configure a corresponding user for a page used by a system administrator through a user group, and the loading display in the tag statistics page allows the user to know that a plurality of graphs are verified by each user issued by a present day system, and counts picture data issued by the present day system by the current time of the day;
a user inquires all identification conditions of a certain device through a device number or an ID number, the ID of a file, the name of the file, newly added time, updated time, viewing times, determining times and thumbnail information of an image are counted in the table, and the sorting mode of a list is selected by pulling down the sorting mode at a mobile terminal; the specific image of the information is checked by clicking the thumbnail, so that the operation of a user is facilitated when the identification result is managed.
As an embodiment of the present invention, the failure analysis unit generates a failure analysis page. The fault analysis page can see all fault information lists of the equipment by inputting the id or the equipment number of the equipment, and specific fault information is deleted through a date button and a fault reason;
the faults are light curtain shielding, door closing failure, door closing process abnormity, flat floor door opening failure, flat floor stop failure, elevator non-running, elevator abnormal vibration, car top rushing, car accidental movement, car bottom squating, sudden stop in running, overtime running, abnormal large running speed, abnormal small running speed and long-time door closing failure;
a data list of device id, time of occurrence of the fault, fault code, and fault name is looked up in the list. And selecting a certain list of data, and checking the equipment id, the fault name and the fault occurrence time of the data and the x-axis, y-axis and z-axis factor analysis images constructed by echarts so as to quickly analyze the reason.
As an implementation manner of the present invention, the real-time image monitoring system further includes a user management module, configured to manage user personnel of the system and an operable page authority of the personnel, where the user management module includes an account management unit, an authority management unit, and a user group management unit;
the account management unit is used for adding and editing user information, including user names, account numbers, jobs, mailboxes, mobile phone numbers and user group information to which the user belongs; dividing users into user groups to conveniently and uniformly add page permissions;
the authority management unit is used for displaying all the page information which can be distributed, including the ID of the page authority, the name of the page and the name of a father page;
the user group management unit is used for binding the personnel in the user group, editing and modifying the personnel in the user group, and simultaneously binding the corresponding page in each user group, so that the dynamic configuration between the personnel and the page can be realized.
According to another aspect of the invention, the following technical scheme is adopted: a real-time graphical monitoring method, the real-time graphical monitoring method comprising:
a figure marking step, namely acquiring a picture and marking label information for the acquired picture;
a real-time image step, namely dynamically acquiring the latest equipment scanning graph when the real-time image is started; and
and a marking counting step, counting comparison information of the manual marking and the algorithm marking of the images acquired by each device at different time.
In the graphic marking step, statistics of pictures recognized today are displayed, a search bar and a date selection button of a device needing to view a scanned image are searched in an operation bar, all the obtained scanned images of the device which a user wants to view in a certain day are found through the search bar and the date selection control, appearance labels of an adult, an adult female, an adult male, a minor female, a minor male, a long hair, a short hair and a bare head are marked for the obtained pictures, the pictures are switched through buttons of a first picture, a last picture, a next picture and a last picture, a time point corresponding to the currently displayed picture is displayed below, and the next mark information about the picture is automatically submitted to a system after marking is completed;
the scanning image is obtained through a contour drawing step, in the contour drawing step, a contour image of a person or/and an object passing through a set area is drawn according to signals obtained by all receivers; drawing the contour image of the personnel or/and the object between the set areas at the set time points through the signals whether the receivers sense the shielding or not at the set time points in each time period, and forming the contour image of the personnel or/and the object passing through the set areas in the set time period;
in the real-time image step, the latest equipment scanning graph can be dynamically obtained when the real-time image is started, the most different from the graph mark is that when the real-time button is started, the latest obtained graph of the current equipment on the same day is automatically obtained, and the picture does not need to be switched by manually clicking a next picture button, so that the experience degree of a user is improved, and the user can use the image more smoothly;
in the marking statistics step, whether the marking result of the corresponding algorithm mark is accurate is judged according to the marking result of the manual marking, the result of judging whether the marking result is accurate is fed back to the algorithm mark, and the algorithm mark adjusts the marking algorithm according to the feedback result so as to optimize the marking algorithm of the algorithm mark;
in the step of marking statistics, a page used by a system administrator configures corresponding users through user groups, and the loading display in the marking statistics page enables the users to know that a system today issues to each user to verify a plurality of graphs, and the picture data issued by the system at the current time on the day is counted;
a user inquires all identification conditions of a certain device through a device number or an ID number, the ID of a file, the name of the file, newly added time, updated time, viewing times, determining times and thumbnail information of an image are counted in the table, and the sorting mode of a list is selected by pulling down the sorting mode at a mobile terminal; the specific image of the information is checked by clicking the thumbnail, so that the operation of a user is facilitated when the identification result is managed.
As an embodiment of the present invention, the real-time image monitoring method further includes: a fault analysis step of generating a fault analysis page; the fault analysis page can see all fault information lists of the equipment by inputting the id or the equipment number of the equipment, and specific fault information is deleted through a date button and a fault reason;
the faults are light curtain shielding, door closing failure, door closing process abnormity, flat floor door opening failure, flat floor stop failure, elevator non-running, elevator abnormal vibration, car top rushing, car accidental movement, car bottom squating, sudden stop in running, overtime running, abnormal large running speed, abnormal small running speed and long-time door closing failure;
inquiring a data list of equipment id, fault occurrence time, fault code and fault name in the list; selecting a certain list of data, and checking the equipment id, the fault name and the fault occurrence time of the data and the factor analysis images of the x axis, the y axis and the z axis constructed by echarts so as to quickly analyze the reason;
the real-time graph monitoring method also comprises a user management step, wherein the user management step is used for managing user personnel of the system and operable page authorities of the personnel, and comprises an account management step, an authority management step and a user group management step;
in the account management step, user information including a user name, an account number, a post, a mailbox, a mobile phone number and user group information of the user is added and edited; dividing users into user groups to conveniently and uniformly add page permissions;
in the authority management step, displaying all the page information which can be distributed, including the ID of the page authority, the name of the page and the name of a father page;
in the user group management step, the personnel in the user group are bound, the personnel under the user group are edited and modified, and meanwhile, the corresponding page is also bound in each user group, so that the dynamic configuration between the personnel and the page can be realized.
The invention has the beneficial effects that: the real-time graph monitoring system and the method provided by the invention can intelligently identify the fault types, and are beneficial to rapidly obtaining and finding the problems through fault analysis in time and solving the problems in time.
In a use scene of the invention, the invention can realize display at each terminal, is more suitable for the current production requirement in a mobile interconnected large environment, can verify the accuracy of an artificial intelligence algorithm by utilizing fragmentation time through a mobile terminal, provides solid guarantee for mass verification of the artificial algorithm, can simultaneously process the problems generated in production more conveniently and quickly, can quickly find the problems and solve the problems in time through fault analysis, and is greatly helpful for improving the production efficiency.
Drawings
Fig. 1 is a schematic diagram illustrating a real-time image monitoring system according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
For a further understanding of the invention, reference will now be made to the preferred embodiments of the invention by way of example, and it is to be understood that the description is intended to further illustrate features and advantages of the invention, and not to limit the scope of the claims.
The description in this section is for several exemplary embodiments only, and the present invention is not limited only to the scope of the embodiments described. It is within the scope of the present disclosure and protection that the same or similar prior art means and some features of the embodiments may be interchanged.
The term "connected" in the specification includes both direct connection and indirect connection.
The invention discloses a real-time graph monitoring system, and FIG. 1 is a schematic diagram of the real-time graph monitoring system according to an embodiment of the invention; referring to fig. 1, the real-time graphics monitoring system includes: a graphic marking unit 11, a real-time video unit 12 and a marking statistic unit 13.
The graphic marking unit 11 is used for acquiring picture marking label information; the real-time image unit 12 is used for dynamically acquiring the latest equipment scanning pattern when the real-time image is started; the mark counting unit 13 is configured to count comparison information between an artificial mark and an algorithm mark of images acquired by each device at different times.
In an embodiment of the present invention, the real-time image monitoring system further includes a failure analysis unit 14, and the failure analysis unit 14 is configured to describe factor analysis of the equipment when a failure occurs.
In an embodiment of the present invention, the graphic marking unit 11 is configured to display statistics of pictures recognized today, a search bar and a date selection button for searching for a device that needs to view a scanned image are provided in an operation bar, all scanned images obtained by the device that a user wants to view on a certain day are found through the search bar and the date selection button, and label information is marked for the obtained pictures, including appearance labels of an adult, an adult female, an adult male, a minor female, a minor male, a long hair, a short hair, and a bare head, the pictures are switched through buttons of a first picture, a last picture, a next picture, and a last picture, a time point corresponding to a currently displayed picture is displayed below, and after the marking is completed, a next piece of label information related to the picture is clicked and automatically submitted to the system.
In an embodiment, the scanning image is obtained by a contour drawing unit, and the contour drawing unit is used for drawing contour images of people or/and objects passing through a set area according to signals obtained by each receiver; and drawing the contour image of the person or/and the object between the set areas at the set time point through the signal whether the receiver senses the shielding or not at the set time point in each time period, and forming the contour image of the person or/and the object passing through the set areas in the set time period.
In an embodiment of the present invention, the real-time image unit 12 is configured to dynamically obtain a latest device scanning pattern when a real-time image is turned on, and the most different from the pattern label is that when a real-time button is turned on, a latest obtained pattern of the current device on the same day is automatically obtained, and it is not necessary to manually click a next picture button to switch pictures, so that the experience of a user is improved, and the user can use the image more smoothly.
In an embodiment of the present invention, the tag statistics unit 13 is configured to configure a corresponding user for a page used by a system administrator through a user group, and the loading display in the tag statistics page allows the user to know that a plurality of graphs are verified by each user issued by the system today, and counts picture data issued by the system today at the deadline. In an embodiment, the mark counting unit 13 determines whether the marking result of the corresponding algorithm mark is accurate according to the marking result of the manual mark, and feeds back the result of determining whether the marking result is accurate to the algorithm mark, and the algorithm mark adjusts the marking algorithm according to the feedback result, thereby optimizing the marking algorithm of the algorithm mark. The algorithm and the person can be identified by one picture, so that the identification success rate of the algorithm of the picture and the success rate of manual identification are compared, and the algorithm is optimized.
A user inquires all identification conditions of a certain device through a device number or an ID number, the ID of a file, the name of the file, newly added time, updated time, viewing times, determining times and thumbnail information of an image are counted in the table, and the sorting mode of a list is selected by pulling down the sorting mode at a mobile terminal; the specific image of the information is checked by clicking the thumbnail, so that the operation of a user is facilitated when the identification result is managed.
In an embodiment of the present invention, the failure analysis unit 14 is configured to generate a failure analysis page. The fault analysis page can see all fault information lists of the equipment by inputting the id or the equipment number of the equipment, and specific fault information is deleted through a date button and a fault reason.
The faults are faults of light curtain shielding, door closing failure, door closing process abnormity, flat floor door opening failure, flat floor stop failure, elevator non-running, elevator abnormal vibration, car top rushing, car unexpected movement, car bottom squatting, sudden stop in running, overtime running, abnormal large running speed, abnormal small running speed, long-time door closing failure and the like.
A data list of device id, time of occurrence of the fault, fault code, and fault name is looked up in the list. And selecting a certain list of data, and checking the equipment id, the fault name and the fault occurrence time of the data and the x-axis, y-axis and z-axis factor analysis images constructed by echarts so as to quickly analyze the reason.
In an embodiment of the present invention, the real-time image monitoring system further includes a user management module 20, configured to manage user personnel of the system and page permissions of the personnel, where the user management module 20 includes an account management unit 21, a permission management unit 22, and a user group management unit 23. The account management unit 21 is configured to add and edit user information, which includes a user name, an account number, a job title, a mailbox, a mobile phone number, and user group information to which the user belongs; the users are divided into user groups, so that page permissions can be conveniently and uniformly added. The authority management unit 22 is used to display all the page information that can be allocated, including the ID of the page authority, the name of the page, and the name of the parent page. The user group management unit 23 is used to bind the personnel in the user group, edit and modify the personnel in the user group, and bind the corresponding page in each user group, so that the personnel and the page can be dynamically configured.
In one embodiment of the present invention, the system of the present invention is developed based on front-end H5 technology. Firstly, the front-end frame is built by using vue.js, and secondly, the page layout is built by using vuetify.js, so that the page frame meeting the design requirements can be built quickly and conveniently, and each terminal has good adaptive effect and can be well adapted to screens with different sizes. In the user management, the user and the page authority are well bound together by establishing a user management group, so that the current business requirement can be met, and an expandable space is reserved for the future business requirement. The relation between personnel and the page authority is dynamically configured, so that the system can better adapt to the current and future requirements. The timer is arranged at the front end, the latest graphs and the artificial intelligence recognition conditions obtained by scanning the light curtain can be synchronously updated in millisecond level, and the defects of the artificial algorithm can be quickly found out through comparison, so that an algorithm engineer can optimize the artificial intelligence algorithm. During fault analysis, the data is subjected to graphic drawing based on the analysis data of the factors generating faults developed by echarts, and specific data change and overall data trend can be dragged and displayed through the time axis of the drawn echarts graphic.
The invention aims to realize better application in multiple terminals, and is convenient for a user to complete verification of an artificial intelligence result in mobile and portable modes by utilizing fragmentary time, and the result judged by an artificial algorithm is verified and analyzed, so that the artificial algorithm is more accurate. Whether the passenger has the action of pushing into the electric vehicle can be judged faster and more accurately when the elevator light curtain is identified, and great help is provided for assisting in optimizing the artificial intelligence algorithm.
The invention also discloses a real-time graph monitoring method, which comprises the following steps:
step S1, a figure marking step, namely, acquiring a picture and marking label information for the acquired picture;
in an embodiment, in the graphic marking step, statistics of the recognized pictures today are displayed, a search bar for searching for a device needing to view a scanned picture and a date selection button are arranged in an operation bar, all the obtained scanned images of the device which a user wants to view in a certain day are found through the search bar and the date selection control, label information is marked for the obtained pictures, the label information comprises appearance labels of adults, adult females, adult males, minors, immature females, immature males, long hairs, short hairs and optical heads, the pictures are switched through buttons of a first picture, a last picture, a next picture and a last picture, a time point corresponding to the currently displayed picture is displayed below, and after marking is completed, the next picture is clicked and mark information about the picture is automatically submitted to a system.
The scanning image can be obtained through a contour drawing step, and in the contour drawing step, a contour image of a person or/and an object passing through a set area is drawn according to signals obtained by all receivers; and drawing the contour image of the person or/and the object between the set areas at the set time point through the signal whether the receiver senses the shielding or not at the set time point in each time period, and forming the contour image of the person or/and the object passing through the set areas in the set time period.
Step S2, a real-time image step, in which the latest equipment scanning graph is dynamically obtained when the real-time image is started;
in an embodiment, the latest device scanning graph can be dynamically obtained when a real-time image is started, the most different from the graph mark is that when a real-time button is started, the latest obtained graph of the current device on the same day is automatically obtained, and the picture does not need to be switched by manually clicking a next picture button, so that the experience degree of a user is improved, and the user can use the device more smoothly.
And step S3, a mark counting step, namely counting comparison information of the manual mark and the algorithm mark of the images acquired by the devices at different time.
In an embodiment, in step S3, it is determined whether the marking result of the corresponding algorithm mark is accurate according to the marking result of the manual marking, and the result of determining whether the marking result is accurate is fed back to the algorithm mark, and the algorithm mark adjusts the marking algorithm according to the feedback result, thereby optimizing the marking algorithm of the algorithm mark.
In the step of mark statistics, a page used by a system administrator configures corresponding users through user groups, and the loading display in the mark statistics page enables the users to know that the system today issues to each user to verify a plurality of graphs, and the picture data issued by the system at the current time on the day is counted.
A user inquires all identification conditions of a certain device through a device number or an ID number, the ID of a file, the name of the file, newly added time, updated time, viewing times, determining times and thumbnail information of an image are counted in the table, and the sorting mode of a list is selected by pulling down the sorting mode at a mobile terminal; the specific image of the information is checked by clicking the thumbnail, so that the operation of a user is facilitated when the identification result is managed.
In an embodiment of the present invention, the real-time image monitoring method further includes:
a failure analysis step, describing factor analysis of the device when a failure occurs, is described in step S4.
In one embodiment, the failure analysis step generates a failure analysis page. The fault analysis page can see all fault information lists of the equipment by inputting the id or the equipment number of the equipment, and specific fault information is deleted through a date button and a fault reason;
the faults are light curtain shielding, door closing failure, door closing process abnormity, flat floor door opening failure, flat floor stop failure, elevator non-running, elevator abnormal vibration, car top rushing, car accidental movement, car bottom squating, sudden stop in running, overtime running, abnormal large running speed, abnormal small running speed and long-time door closing failure;
a data list of device id, time of occurrence of the fault, fault code, and fault name is looked up in the list. And selecting a certain list of data, and checking the equipment id, the fault name and the fault occurrence time of the data and the x-axis, y-axis and z-axis factor analysis images constructed by echarts so as to quickly analyze the reason.
The real-time graphic monitoring method can also comprise a user management step of managing user personnel of the system and operable page authorities of the personnel, wherein the user management step comprises an account management step, an authority management step and a user group management step.
In the account management step, user information including a user name, an account number, a post, a mailbox, a mobile phone number and user group information of the user is added and edited; dividing users into user groups to conveniently and uniformly add page permissions;
in the authority management step, displaying all the page information which can be distributed, including the ID of the page authority, the name of the page and the name of a father page;
in the user group management step, the personnel in the user group are bound, the personnel under the user group are edited and modified, and meanwhile, the corresponding page is also bound in each user group, so that the dynamic configuration between the personnel and the page can be realized.
In summary, the real-time graph monitoring system and method provided by the invention can realize display at each terminal, better meet the current production requirements in a mobile interconnected large environment, verify the accuracy of the artificial intelligence algorithm by using fragmentation time through the mobile terminal, provide solid guarantee for mass verification of the artificial algorithm, simultaneously, can more conveniently and quickly process the problems generated in production, can quickly find the problems and solve the problems in time through fault analysis, and are greatly helpful for improving the production efficiency.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The description and applications of the invention herein are illustrative and are not intended to limit the scope of the invention to the embodiments described above. Effects or advantages referred to in the embodiments may not be reflected in the embodiments due to interference of various factors, and the description of the effects or advantages is not intended to limit the embodiments. Variations and modifications of the embodiments disclosed herein are possible, and alternative and equivalent various components of the embodiments will be apparent to those skilled in the art. It will be clear to those skilled in the art that the present invention may be embodied in other forms, structures, arrangements, proportions, and with other components, materials, and parts, without departing from the spirit or essential characteristics thereof. Other variations and modifications of the embodiments disclosed herein may be made without departing from the scope and spirit of the invention.
Claims (10)
1. A real-time graphical monitoring system, the real-time graphical monitoring system comprising:
the image marking unit is used for acquiring an image and marking label information for the acquired image;
the real-time image unit is used for dynamically acquiring the latest equipment scanning graph when the real-time image is started; and
and the mark counting unit is used for counting comparison information of the artificial mark and the algorithm mark of the image acquired by each device at different time.
2. The real-time graphical monitoring system of claim 1, characterized by:
the real-time graph monitoring system also comprises a fault analysis unit which is used for describing factor analysis when the equipment is in fault;
the fault analysis unit is used for generating a fault analysis page; the fault analysis page can see all fault information lists of the equipment by inputting the id or the equipment number of the equipment, and specific fault information is deleted through a date button and a fault reason;
the faults are light curtain shielding, door closing failure, door closing process abnormity, flat floor door opening failure, flat floor stop failure, elevator non-running, elevator abnormal vibration, car top rushing, car accidental movement, car bottom squating, sudden stop in running, overtime running, abnormal large running speed, abnormal small running speed and long-time door closing failure;
inquiring a data list of equipment id, fault occurrence time, fault code and fault name in the list; and selecting a certain list of data, and checking the equipment id, the fault name and the fault occurrence time of the data and the x-axis, y-axis and z-axis factor analysis images constructed by echarts so as to quickly analyze the reason.
3. The real-time graphical monitoring system of claim 1, characterized by:
the marking statistical unit judges whether the marking result of the corresponding algorithm marking is accurate or not according to the marking result of the manual marking, feeds the result of judging whether the marking is accurate back to the algorithm marking, and the algorithm marking adjusts the marking algorithm according to the feedback result so as to optimize the marking algorithm of the algorithm marking.
4. The real-time graphical monitoring system of claim 1, characterized by:
the image marking unit is used for acquiring a scanned image, and the acquired image marking label information comprises appearance labels of adults, adult females, adult males, minors, minor females, minor males, long hairs, short hairs and optical heads;
switching the pictures through buttons of the first picture, the last picture, the next picture and the last picture, displaying a time point corresponding to the currently displayed picture at the lower part, and clicking the next picture to automatically submit the marking information about the picture to the system after marking is finished;
the scanning image is obtained through a contour drawing unit, and the contour drawing unit is used for drawing contour images of people or/and objects passing through a set area according to signals obtained by all the receivers; and drawing the contour image of the person or/and the object between the set areas at the set time point through the signal whether the receiver senses the shielding or not at the set time point in each time period, and forming the contour image of the person or/and the object passing through the set areas in the set time period.
5. The real-time graphical monitoring system of claim 1, characterized by:
the real-time image unit is used for dynamically acquiring the latest equipment scanning graph when the real-time image is started, and automatically acquiring the latest obtained graph of the current equipment.
6. The real-time graphical monitoring system of claim 1, characterized by:
the mark statistical unit is used for configuring corresponding users for a page used by a system administrator through a user group, and the loading display in the mark statistical page enables the users to know that a system today issues to each user to verify a plurality of graphs and to count the picture data issued by the system at the current time on the day;
a user inquires all identification conditions of a certain device through a device number or an ID number, the ID of a file, the name of the file, newly added time, updated time, viewing times, determining times and thumbnail information of an image are counted in the table, and the sorting mode of a list is selected by pulling down the sorting mode at a mobile terminal; the specific image of the information is checked by clicking the thumbnail, so that the operation of a user is facilitated when the identification result is managed.
7. The real-time graphical monitoring system of claim 1, characterized by:
the real-time graphic monitoring system also comprises a user management module, a user management module and a display module, wherein the user management module is used for managing user personnel of the system and the operable page authority of the personnel, and comprises an account management unit, an authority management unit and a user group management unit;
the account management unit is used for adding and editing user information, including user names, account numbers, jobs, mailboxes, mobile phone numbers and user group information to which the user belongs; dividing users into user groups to conveniently and uniformly add page permissions;
the authority management unit is used for displaying all the page information which can be distributed, including the ID of the page authority, the name of the page and the name of a father page;
the user group management unit is used for binding the personnel in the user group, editing and modifying the personnel in the user group, and simultaneously binding the corresponding page in each user group, so that the dynamic configuration between the personnel and the page can be realized.
8. A real-time graph monitoring method is characterized by comprising the following steps:
a figure marking step, namely acquiring a picture and marking label information for the acquired picture;
a real-time image step, namely dynamically acquiring the latest equipment scanning graph when the real-time image is started; and
and a marking counting step, counting comparison information of the manual marking and the algorithm marking of the images acquired by each device at different time.
9. The real-time graphical monitoring method of claim 8, characterized in that:
in the graphic marking step, statistics of pictures identified today are displayed, a search bar for searching equipment needing to view a scanned picture and a date selection button are arranged in an operation bar, all acquired scanned images of the equipment which a user wants to view in a certain day are found through the search bar and the date selection control, label information is marked for the acquired pictures, the labels comprise appearance labels of adults, adult females, adult males, minors, immature females, immature males, long hairs, short hairs and optical heads, the pictures are switched through buttons of a first picture, a last picture, a next picture and a last picture, a time point corresponding to the currently displayed picture is displayed below, and after marking is completed, the next picture is clicked to automatically submit to a system for marking information of the picture;
the scanning image is obtained through a contour drawing step, in the contour drawing step, a contour image of a person or/and an object passing through a set area is drawn according to signals obtained by all receivers; drawing the contour image of the personnel or/and the object between the set areas at the set time points through the signals whether the receivers sense the shielding or not at the set time points in each time period, and forming the contour image of the personnel or/and the object passing through the set areas in the set time period;
in the real-time image step, the latest equipment scanning graph can be dynamically obtained when the real-time image is started, the most different from the graph mark is that when the real-time button is started, the latest obtained graph of the current equipment on the same day is automatically obtained, and the picture does not need to be switched by manually clicking a next picture button, so that the experience degree of a user is improved, and the user can use the image more smoothly;
in the marking statistics step, whether the marking result of the corresponding algorithm mark is accurate is judged according to the marking result of the manual marking, the result of judging whether the marking result is accurate is fed back to the algorithm mark, and the algorithm mark adjusts the marking algorithm according to the feedback result so as to optimize the marking algorithm of the algorithm mark;
in the step of marking statistics, a page used by a system administrator configures corresponding users through user groups, and the loading display in the marking statistics page enables the users to know that a system today issues to each user to verify a plurality of graphs, and the picture data issued by the system at the current time on the day is counted;
a user inquires all identification conditions of a certain device through a device number or an ID number, the ID of a file, the name of the file, newly added time, updated time, viewing times, determining times and thumbnail information of an image are counted in the table, and the sorting mode of a list is selected by pulling down the sorting mode at a mobile terminal; the specific image of the information is checked by clicking the thumbnail, so that the operation of a user is facilitated when the identification result is managed.
10. The real-time graphical monitoring method of claim 8, characterized in that:
the real-time graph monitoring method further comprises the following steps: a fault analysis step of generating a fault analysis page; the fault analysis page can see all fault information lists of the equipment by inputting the id or the equipment number of the equipment, and specific fault information is deleted through a date button and a fault reason;
the faults are light curtain shielding, door closing failure, door closing process abnormity, flat floor door opening failure, flat floor stop failure, elevator non-running, elevator abnormal vibration, car top rushing, car accidental movement, car bottom squating, sudden stop in running, overtime running, abnormal large running speed, abnormal small running speed and long-time door closing failure;
inquiring a data list of equipment id, fault occurrence time, fault code and fault name in the list; selecting a certain list of data, and checking the equipment id, the fault name and the fault occurrence time of the data and the factor analysis images of the x axis, the y axis and the z axis constructed by echarts so as to quickly analyze the reason;
the real-time graph monitoring method also comprises a user management step, wherein the user management step is used for managing user personnel of the system and operable page authorities of the personnel, and comprises an account management step, an authority management step and a user group management step;
in the account management step, user information including a user name, an account number, a post, a mailbox, a mobile phone number and user group information of the user is added and edited; dividing users into user groups to conveniently and uniformly add page permissions;
in the authority management step, displaying all the page information which can be distributed, including the ID of the page authority, the name of the page and the name of a father page;
in the user group management step, the personnel in the user group are bound, the personnel under the user group are edited and modified, and meanwhile, the corresponding page is also bound in each user group, so that the dynamic configuration between the personnel and the page can be realized.
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