CN112269826A - Visual processing system and method based on big data - Google Patents
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Abstract
The invention discloses a visualized processing system and a visualized processing method based on big data.A data acquisition module is used for pre-storing coordinate information of a seat, acquiring gravity information and interval time through the seat, marking the gravity information and the interval time, and the coordinate information of the seat, which are marked, are sent to a server and stored in a database; the data processing module is used for acquiring the marked gravity information, the marked interval time and the coordinate information of the seat, analyzing and outputting an analysis result; the visualization module comprises a visualization window for receiving the analysis result and displaying the use condition of the seat in real time; the abnormal prompting module is used for receiving and prompting the data which is used for judging that the seat is in an abnormal state in the first judgment result; the problem of how to acquire whether the seat is idle or not, how to judge whether the user leaves the seat temporarily or completely and how to maintain the seat in an abnormal state is solved.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a visualized processing system and a visualized processing method based on big data.
Background
Big data is a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is massive, high-growth rate and diversified information assets which can have stronger decision-making power, insight discovery power and flow optimization capability only by a new processing mode; the embodiment of the invention provides a visualized processing system and method based on big data, which are applied to the seat use condition scene of a library.
The existing visual processing scheme has certain defects: the use condition of the seat is acquired by complex technical means such as face recognition, so that the use state of the seat is updated slowly and the recognition efficiency is low; the user can not be judged whether to leave the seat temporarily or completely in time, and the state of the seat can not be updated in time; the seat with abnormal state can not be reminded and displayed in time.
Disclosure of Invention
The invention aims to provide a visualized processing system and a visualized processing method based on big data; the data acquisition module of the embodiment of the invention prestores coordinate information of seats, is used for acquiring gravity information and interval time through the seats and marking the gravity information and the interval time, and sending the marked gravity information and the interval time as well as the coordinate information of the seats to a server and storing the gravity information and the interval time in a database, so as to achieve the purpose of acquiring the gravity information and the interval time; the data processing module is used for acquiring the marked gravity information, the marked interval time and the coordinate information of the seat, analyzing and outputting an analysis result, judging the use condition of the seat according to the gravity information and updating the use condition of the seat in time according to the interval time; the visualization module comprises a visualization window for receiving the analysis result and displaying the use condition of the seat in real time; the abnormal prompting module is used for receiving and prompting the data which is used for judging that the seat is in an abnormal state in the first judgment result; when the server receives the analysis result and screens the abnormal state, the abnormal state is judged, the coordinate information of the abnormal state is obtained according to the analysis result, the coordinate information of the abnormal state is transmitted to the abnormal prompting module through the server, the abnormal prompting module pushes the coordinate information of the abnormal state to an administrator, the seat is processed according to the coordinate information, the prompting effect on the abnormal state of the seat can be achieved, and the technical problem of visual processing based on big data is achieved.
The technical problem to be solved by the invention is as follows:
(1) the method comprises the steps of obtaining and marking whether a seat is idle or not through a weighing sensor and a timer in the seat, obtaining and marking gravity information and interval time on the seat respectively, wherein the gravity information and the interval time are marked as a first signal, a second signal, a third signal and a fourth signal respectively, the value range of the first signal is 0-0.1Kg and represents that the seat is in an idle state, the value range of the second signal is 0.1-10Kg and represents that the seat is occupied by articles, the value range of the third signal is 10-150Kg and represents that the seat is used by people, the seat state is abnormal if the value range is not included, the marked gravity information, the interval time and coordinate information of the seat are sent to a server and stored in a database, the state of the seat is analyzed and judged according to the marked gravity information, and the state of the seat is visually displayed by using an image function, the problems of unclear seat state and visual display can be effectively solved.
(2) The method comprises the steps of judging whether a user leaves a seat temporarily or completely, obtaining time of gravity information through a timer in the seat, calculating an interval through a formula, marking the interval into a first label and a second label according to a preset time period, wherein the time period range of the first label is 0-15 minutes, the interval time is the first label and indicates that the user leaves the seat temporarily, judging that the state of the seat is still in a use state, the time period range of the second label is 15-30 minutes, the interval time is the second label and indicates that the user leaves the seat completely, judging that the state of the seat is in a leaving state, updating and displaying in time, and effectively solving the problem that the state of the user leaving the seat cannot be judged and the state cannot be updated in time in the existing scheme.
(3) The problem of how to maintain the seat in the abnormal state is solved by the technical scheme that coordinate information of the seat is prestored in a data acquisition module, an abnormal prompting module receives data which is judged to be in the abnormal state from a first judgment result and prompts the data, when an analysis result is received in a server and the abnormal state is obtained through screening, the seat is judged to be abnormal, the coordinate information of the abnormal state is obtained according to the analysis result, the coordinate information of the abnormal state is transmitted to the abnormal prompting module through the server, and the abnormal prompting module pushes the coordinate information of the abnormal state to an administrator, so that the aim of maintaining the seat in the abnormal state is fulfilled, and the problem that the prompt of the abnormal state cannot be timely received in the existing scheme and the seat in the abnormal state cannot be timely solved is solved.
The purpose of the invention can be realized by the following technical scheme: a visualized processing system based on big data comprises a data acquisition module, a server, a database, a data processing module, a visualized module and an exception prompt module;
the data acquisition module is prestored with coordinate information of seats and used for acquiring gravity information and interval time through the seats, marking the gravity information and the interval time and the coordinate information of the seats, sending the marked gravity information and the interval time to a server and storing the gravity information, the interval time and the coordinate information of the seats in a database;
the data processing module is used for acquiring the marked gravity information, the marked interval time and the coordinate information of the seat, analyzing and outputting an analysis result;
the visualization module comprises a visualization window for receiving the analysis result and displaying the use condition of the seat in real time; the visualization module comprises the following specific working steps:
the method comprises the following steps: obtaining an analysis result;
step two: acquiring the first judgment result in the analysis result to obtain coordinate information of the seat, and displaying the state of the seat as a first mark on the visual window if the seat is judged to be in an unmanned state by the first judgment result; if the seat is judged to be in the occupancy state according to the first judgment result, displaying the state of the seat as a second mark on the visual window; if the first judgment result judges that the seat is in the use state, displaying the state of the seat as a third mark on the visual window; if the seat is judged to be in an abnormal state by the first judgment result, displaying the state of the seat as a fourth mark on the visual window;
step three: obtaining the second judgment result in the analysis result to obtain the coordinate information of the seat, and updating the display of the state of the seat in the visualization window to be a third mark if the second judgment result judges that the seat is in the use state; and if the second judgment result judges that the seat is in the unmanned state, updating the display of the state of the seat in the visualization window to be a first mark.
Further, the specific working steps of the data acquisition module include:
s21, respectively acquiring gravity information, interval time and coordinate information on the seat through a weighing sensor and a timer in the seat;
s22, setting the acquired gravity information meeting the first preset condition as a first signal Ai, i is 1, … … and n, setting the acquired gravity information meeting the second preset condition as a second signal Bi, i is 1, … … and n, setting the acquired gravity information meeting the third preset condition as a third signal Ci, i is 1, … … and n, and setting the gravity information not meeting any preset condition as a fourth signal Di, i is 1, … … and n; wherein, the value range of the first preset condition is [0,0.1], the value range of the second preset condition is (0.1,10], and the value range of the third preset condition is (10,150 ];
s23, using formula T ═ h2-h1)*60+m2-m1Obtaining the interval time of the gravity information, wherein h1Represents a time value, h, at which the gravity information is acquired for the first time2Expressed as the value of the time of the second acquisition of said gravity information, m1A minute value, m, representing the first time the gravity information was acquired2A minute value representing a second time of acquiring the gravity information;
s24, marking the interval time meeting the first preset time period as a first label, and marking the interval time meeting the second preset time period as a second label; wherein, the value range of the first label is [0,15], the value range of the second label is (15,30 ];
s25, acquiring row coordinates and column coordinates in the coordinate information;
and S26, sending the marked gravity information and the interval time as well as the row coordinate and the column coordinate in the coordinate information to a server and storing the marked gravity information and the interval time in a database.
Further, the working steps of the data processing module include:
s31: acquiring the marked gravity information;
s32: converting data in the gravity information by using an image function to obtain a first judgment result of the gravity information;
s33: if the data in the gravity information is a first signal, judging that the seat is in an unmanned state, and converting the unmanned state into a first mark, wherein the first mark is displayed as an empty chair icon; if the data in the gravity information is a second signal, judging that the seat is in an occupied state, and converting the occupied state into a second mark, wherein the second mark is displayed as an object occupied chair icon; if the data in the gravity information is a third signal, judging that the seat is in a use state, and converting the use state into a third mark, wherein the third mark is displayed as a human seat icon; if the data in the gravity information is a fourth signal, judging that the seat is in an abnormal state, and converting the abnormal state into a fourth mark, wherein the fourth mark is displayed as a seat damage icon;
s34: acquiring the marked interval time, wherein the interval time is a time difference between the second time of acquiring the gravity information and the first time of acquiring the gravity information;
s35: classifying the interval time to obtain a second judgment result of the interval time;
s36: if the data of the interval time is a first label, judging that the seat is in a use state; if the data of the interval time is a second label, judging that the seat is in an unmanned state;
s37: and combining the first judgment result, the second judgment result and the row coordinate and the column coordinate in the coordinate information to obtain an analysis result, and sending the analysis result to the visualization module and the server.
Further, the abnormality prompting module is configured to receive and prompt data in the first determination result, which indicates that the seat is in an abnormal state; when the server receives the analysis result and screens the abnormal state, the abnormal state is judged, the coordinate information of the abnormal state is obtained according to the analysis result, the coordinate information of the abnormal state is transmitted to the abnormal prompting module through the server, the abnormal prompting module pushes the coordinate information of the abnormal state to an administrator, and the seat is processed according to the coordinate information.
Further, the specific working steps of the method comprise:
the method comprises the following steps: acquiring gravity information on a seat, the interval time of the gravity information and the coordinate information of the seat;
step two: converting data in the gravity information by using an image function to obtain a first judgment result of the gravity information, and displaying the state of the seat by using the first judgment result and the coordinate information;
step three: classifying the interval time to obtain a second judgment result of the interval time, and updating the state of the seat by using the second judgment result and the coordinate information;
step four: and sending the abnormal state in the first judgment result to an administrator for processing.
Three beneficial effects brought by the three aspects of the present disclosure are:
(1) respectively acquiring gravity information and interval time on a seat by a weighing sensor and a timer in the seat and marking the gravity information and the interval time as a first signal, a second signal, a third signal and a fourth signal, wherein the value range of the first signal is 0-0.1Kg and indicates that the seat is in an idle state, the value range of the second signal is 0.1-10Kg and indicates that the seat is occupied by articles, the value range of the third signal is 10-150Kg and indicates that the seat is used by people, and if the value range is not within the value range, the seat state is abnormal, sending the marked gravity information, the interval time and the coordinate information of the seat to a server and storing the information in a database, the state of the seat is analyzed and judged according to the marked gravity information, and the state of the seat is visually displayed by utilizing an image function, so that the purposes of confirming the idle state of the seat and visually displaying can be achieved.
(2) The method comprises the steps of obtaining time of gravity information through a timer in a seat, calculating intervals through a formula, marking the intervals as a first label and a second label according to a preset time period, wherein the time period range of the first label is 0-15 minutes, the interval time is that the first label indicates that a user temporarily leaves the seat, the state of the seat is still judged to be in a use state, the time period range of the second label is 15-30 minutes, the interval time is that the second label indicates that the user completely leaves the seat, the state of the seat is judged to be in a leaving state, updating and displaying are carried out in time, and the purposes of judging the state of the user after leaving the seat and updating the state in time are achieved.
(3) Coordinate information of a seat is prestored in a data acquisition module, an abnormal prompting module receives data which is in a first judgment result and judges that the seat is in an abnormal state and prompts the data, when an analysis result is received in a server and the abnormal state is obtained through screening, the seat is judged to be abnormal, the coordinate information of the abnormal state is obtained according to the analysis result, the coordinate information of the abnormal state is transmitted to the abnormal prompting module through the server, and the abnormal prompting module pushes the coordinate information of the abnormal state to a manager, so that the aims of accurately positioning and maintaining the seat in the abnormal state can be fulfilled.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block schematic diagram of a big data based visualization process system provided by an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a visualization processing method based on big data according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an internal structure of an electronic device of a big data based visualization processing system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention is a visualized processing system based on big data, which includes a data acquisition module, a server, a database, a data processing module, a visualization module, and an exception prompting module;
the data acquisition module is prestored with coordinate information of seats and used for acquiring gravity information and interval time through the seats, marking the gravity information and the interval time and the coordinate information of the seats, sending the marked gravity information and the interval time to a server and storing the gravity information, the interval time and the coordinate information of the seats in a database;
the data processing module is used for acquiring the marked gravity information, the marked interval time and the coordinate information of the seat, analyzing and outputting an analysis result;
the visualization module comprises a visualization window for receiving the analysis result and displaying the use condition of the seat in real time; the visualization module comprises the following specific working steps:
the method comprises the following steps: obtaining an analysis result;
step two: acquiring the first judgment result in the analysis result to obtain coordinate information of the seat, and displaying the state of the seat as a first mark on the visual window if the seat is judged to be in an unmanned state by the first judgment result; if the seat is judged to be in the occupancy state according to the first judgment result, displaying the state of the seat as a second mark on the visual window; if the first judgment result judges that the seat is in the use state, displaying the state of the seat as a third mark on the visual window; if the seat is judged to be in an abnormal state by the first judgment result, displaying the state of the seat as a fourth mark on the visual window;
step three: obtaining the second judgment result in the analysis result to obtain the coordinate information of the seat, and updating the display of the state of the seat in the visualization window to be a third mark if the second judgment result judges that the seat is in the use state; and if the second judgment result judges that the seat is in the unmanned state, updating the display of the state of the seat in the visualization window to be a first mark.
The specific working steps of the data acquisition module comprise:
s21, respectively acquiring gravity information, interval time and coordinate information on the seat through a weighing sensor and a timer in the seat;
s22, setting the acquired gravity information meeting the first preset condition as a first signal Ai, i is 1, … … and n, setting the acquired gravity information meeting the second preset condition as a second signal Bi, i is 1, … … and n, setting the acquired gravity information meeting the third preset condition as a third signal Ci, i is 1, … … and n, and setting the gravity information not meeting any preset condition as a fourth signal Di, i is 1, … … and n; wherein, the value range of the first preset condition is [0,0.1], the value range of the second preset condition is (0.1,10], and the value range of the third preset condition is (10,150 ];
s23, using formula T ═ h2-h1)*60+m2-m1Obtaining the interval time of the gravity information, wherein h1Represents a time value, h, at which the gravity information is acquired for the first time2Expressed as the value of the time of the second acquisition of said gravity information, m1A minute value, m, representing the first time the gravity information was acquired2A minute value representing a second time of acquiring the gravity information;
s24, marking the interval time meeting the first preset time period as a first label, and marking the interval time meeting the second preset time period as a second label; wherein, the value range of the first label is [0,15], the value range of the second label is (15,30 ];
s25, acquiring row coordinates and column coordinates in the coordinate information;
and S26, sending the marked gravity information and the interval time as well as the row coordinate and the column coordinate in the coordinate information to a server and storing the marked gravity information and the interval time in a database.
The working steps of the data processing module comprise:
s31: acquiring the marked gravity information;
s32: converting data in the gravity information by using an image function to obtain a first judgment result of the gravity information;
s33: if the data in the gravity information is a first signal, judging that the seat is in an unmanned state, and converting the unmanned state into a first mark, wherein the first mark is displayed as an empty chair icon; if the data in the gravity information is a second signal, judging that the seat is in an occupied state, and converting the occupied state into a second mark, wherein the second mark is displayed as an object occupied chair icon; if the data in the gravity information is a third signal, judging that the seat is in a use state, and converting the use state into a third mark, wherein the third mark is displayed as a human seat icon; if the data in the gravity information is a fourth signal, judging that the seat is in an abnormal state, and converting the abnormal state into a fourth mark, wherein the fourth mark is displayed as a seat damage icon;
s34: acquiring the marked interval time, wherein the interval time is a time difference between the second time of acquiring the gravity information and the first time of acquiring the gravity information;
s35: classifying the interval time to obtain a second judgment result of the interval time;
s36: if the data of the interval time is a first label, judging that the seat is in a use state; if the data of the interval time is a second label, judging that the seat is in an unmanned state;
s37: and combining the first judgment result, the second judgment result and the row coordinate and the column coordinate in the coordinate information to obtain an analysis result, and sending the analysis result to the visualization module and the server.
The abnormality prompting module is used for receiving and prompting data which is used for judging that the seat is in an abnormal state in the first judgment result; when the server receives the analysis result and screens the abnormal state, the abnormal state is judged, the coordinate information of the abnormal state is obtained according to the analysis result, the coordinate information of the abnormal state is transmitted to the abnormal prompting module through the server, the abnormal prompting module pushes the coordinate information of the abnormal state to an administrator, and the seat is processed according to the coordinate information.
The method comprises the following specific working steps:
the method comprises the following steps: acquiring gravity information on a seat, the interval time of the gravity information and the coordinate information of the seat;
step two: converting data in the gravity information by using an image function to obtain a first judgment result of the gravity information, and displaying the state of the seat by using the first judgment result and the coordinate information;
step three: classifying the interval time to obtain a second judgment result of the interval time, and updating the state of the seat by using the second judgment result and the coordinate information;
step four: and sending the abnormal state in the first judgment result to an administrator for processing.
The working principle of the embodiment of the invention is as follows: the application scene of the visualized processing system based on big data is the seat use condition of a certain library, the gravity information and the interval time on the seat are respectively obtained and marked through a weighing sensor and a timer in the seat, the weighing sensor is respectively marked as a first signal, a second signal, a third signal and a fourth signal, the model of the weighing sensor can be YN-601A, the value range of the first signal is 0-0.1Kg and represents that the seat is in an idle state, the value range of the second signal is 0.1-10Kg and represents that the seat is occupied by articles, the value range of the third signal is 10-150Kg and represents that the seat is used by people, if the value of the third signal is not in the range, the seat state is abnormal, the marked gravity information, the interval time and the coordinate information of the seat are sent to a server and stored in a database, the state of the seat is analyzed and judged according to the marked gravity information, the aim of confirming the idle state of the seat can be achieved; converting data in the gravity information by using an image function to obtain a first judgment result of the gravity information, and displaying the state of the seat by using the first judgment result and the coordinate information, wherein the image function can be a serial function and a readDatal function, the data in the gravity information is read by the readDatal function, and the data in the gravity information is processed by the serial function;
acquiring time of gravity information through a timer in a seat, calculating an interval through a formula, marking the interval, and marking the interval as a first label and a second label according to a preset time period, wherein the time period range of the first label is 0-15 minutes, the interval time is that the first label indicates that a user temporarily leaves the seat, the state of the seat is still determined to be a use state, the time period range of the second label is 15-30 minutes, the interval time is that the second label indicates that the user completely leaves the seat, the state of the seat is determined to be a leaving state, and the state is updated and displayed in time, so that the purposes of determining the state of the user after leaving the seat and updating the state in time are achieved;
coordinate information of a seat is prestored in a data acquisition module, an abnormal prompting module receives data which is in a first judgment result and judges that the seat is in an abnormal state and prompts the data, when an analysis result is received in a server and the abnormal state is obtained through screening, the seat is judged to be abnormal, the coordinate information of the abnormal state is obtained according to the analysis result, the coordinate information of the abnormal state is transmitted to the abnormal prompting module through the server, and the abnormal prompting module pushes the coordinate information of the abnormal state to a manager, so that the aims of accurately positioning and maintaining the seat in the abnormal state can be fulfilled.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a visualized processing system based on big data according to the present invention.
The electronic device 1 may include a processor 10, a memory 11 and a bus, and may further include a computer program stored in the memory 11 and executable on the processor 10, such as a visualization processing program 12 based on big data.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes for visualization processing based on big data, but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (for example, performing visualization processing based on big data, and the like) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The memory 11 of the electronic device 1 stores a big data based visualization processing program 12, which is a combination of instructions that, when executed in the processor 10, can implement:
acquiring gravity information on a seat and the interval time of the gravity information, and acquiring coordinate information according to the seat;
analyzing the gravity information to obtain a first judgment result;
analyzing the interval time to obtain a second judgment result;
combining the first judgment result, the second judgment result and the coordinate information to obtain an analysis result;
and displaying the state of the seat by using the analysis result, and sending the abnormal state in the analysis result to an administrator for processing.
Specifically, the specific implementation method of the processor 10 for the above instruction may refer to the description of the relevant steps in the embodiment corresponding to fig. 2, which is not repeated herein.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a non-volatile computer-readable storage medium. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. A visualized processing system based on big data is characterized by comprising a data acquisition module, a server, a database, a data processing module, a visualized module and an exception prompt module;
the data acquisition module is prestored with coordinate information of seats and used for acquiring gravity information and interval time through the seats, marking the gravity information and the interval time and the coordinate information of the seats, sending the marked gravity information and the interval time to a server and storing the gravity information, the interval time and the coordinate information of the seats in a database;
the data processing module is used for acquiring the marked gravity information, the marked interval time and the coordinate information of the seat, analyzing and outputting an analysis result;
the visualization module comprises a visualization window for receiving the analysis result and displaying the use condition of the seat in real time; the visualization module comprises the following specific working steps:
the method comprises the following steps: obtaining an analysis result;
step two: acquiring the first judgment result in the analysis result to obtain coordinate information of the seat, and displaying the state of the seat as a first mark on the visual window if the seat is judged to be in an unmanned state by the first judgment result; if the seat is judged to be in the occupancy state according to the first judgment result, displaying the state of the seat as a second mark on the visual window; if the first judgment result judges that the seat is in the use state, displaying the state of the seat as a third mark on the visual window; if the seat is judged to be in an abnormal state by the first judgment result, displaying the state of the seat as a fourth mark on the visual window;
step three: obtaining the second judgment result in the analysis result to obtain the coordinate information of the seat, and updating the display of the state of the seat in the visualization window to be a third mark if the second judgment result judges that the seat is in the use state; and if the second judgment result judges that the seat is in the unmanned state, updating the display of the state of the seat in the visualization window to be a first mark.
2. A visualized processing system based on big data as claimed in claim 1 wherein said data acquisition module comprises the specific working steps of:
s21, respectively acquiring gravity information, interval time and coordinate information on the seat through a weighing sensor and a timer in the seat;
s22, setting the acquired gravity information meeting the first preset condition as a first signal
Ai, i is 1, … …, n, and the obtained gravity information meeting a second preset condition is set as a second signal
Setting the acquired gravity information meeting a third preset condition as a third signal when Bi, i is 1, … …, n
Ci, i is 1, … …, n, and the gravity information not meeting any preset condition is set as a fourth signal
Di, i is 1, … …, n; wherein, the value range of the first preset condition is [0,0.1], the value range of the second preset condition is (0.1,10], and the value range of the third preset condition is (10,150 ];
s23, using formula T ═ h2-h1)*60+m2-m1Obtaining the interval time of the gravity information, wherein h1Represents a time value, h, at which the gravity information is acquired for the first time2Expressed as the value of the time of the second acquisition of said gravity information, m1Indicating the first acquisitionMinute value, m, of the gravity information2A minute value representing a second time of acquiring the gravity information;
s24, marking the interval time meeting the first preset time period as a first label, and marking the interval time meeting the second preset time period as a second label; wherein, the value range of the first label is [0,15], the value range of the second label is (15,30 ];
s25, acquiring row coordinates and column coordinates in the coordinate information;
and S26, sending the marked gravity information and the interval time as well as the row coordinate and the column coordinate in the coordinate information to a server and storing the marked gravity information and the interval time in a database.
3. A visual big data based processing system according to claim 1, wherein said data processing module comprises:
s31: acquiring the marked gravity information;
s32: converting data in the gravity information by using an image function to obtain a first judgment result of the gravity information;
s33: if the data in the gravity information is a first signal, judging that the seat is in an unmanned state, and converting the unmanned state into a first mark, wherein the first mark is displayed as an empty chair icon; if the data in the gravity information is a second signal, judging that the seat is in an occupied state, and converting the occupied state into a second mark, wherein the second mark is displayed as an object occupied chair icon; if the data in the gravity information is a third signal, judging that the seat is in a use state, and converting the use state into a third mark, wherein the third mark is displayed as a human seat icon; if the data in the gravity information is a fourth signal, judging that the seat is in an abnormal state, and converting the abnormal state into a fourth mark, wherein the fourth mark is displayed as a seat damage icon;
s34: acquiring the marked interval time, wherein the interval time is a time difference between the second time of acquiring the gravity information and the first time of acquiring the gravity information;
s35: classifying the interval time to obtain a second judgment result of the interval time;
s36: if the data of the interval time is a first label, judging that the seat is in a use state; if the data of the interval time is a second label, judging that the seat is in an unmanned state;
s37: and combining the first judgment result, the second judgment result and the row coordinate and the column coordinate in the coordinate information to obtain an analysis result, and sending the analysis result to the visualization module and the server.
4. The visual processing system based on big data as claimed in claim 1, wherein the abnormality prompting module is configured to receive and prompt data that is used for determining that the seat is in an abnormal state in the first determination result; when the server receives the analysis result and screens the abnormal state, the abnormal state is judged, the coordinate information of the abnormal state is obtained according to the analysis result, the coordinate information of the abnormal state is transmitted to the abnormal prompting module through the server, the abnormal prompting module pushes the coordinate information of the abnormal state to an administrator, and the seat is processed according to the coordinate information.
5. A visualization processing method based on big data is characterized by comprising the following specific working steps:
the method comprises the following steps: acquiring gravity information on a seat, the interval time of the gravity information and the coordinate information of the seat;
step two: converting data in the gravity information by using an image function to obtain a first judgment result of the gravity information, and displaying the state of the seat by using the first judgment result and the coordinate information;
step three: classifying the interval time to obtain a second judgment result of the interval time, and updating the state of the seat by using the second judgment result and the coordinate information;
step four: and sending the abnormal state in the first judgment result to an administrator for processing.
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| CN116467059A (en) * | 2023-04-21 | 2023-07-21 | 哈尔滨有初科技有限公司 | Data processing system and method based on distributed computing |
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