CN117893815A - Data analysis processing system, processing method, storage medium and electronic equipment - Google Patents
Data analysis processing system, processing method, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN117893815A CN117893815A CN202410067147.6A CN202410067147A CN117893815A CN 117893815 A CN117893815 A CN 117893815A CN 202410067147 A CN202410067147 A CN 202410067147A CN 117893815 A CN117893815 A CN 117893815A
- Authority
- CN
- China
- Prior art keywords
- data
- abnormal
- environment
- prompt information
- resource
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 title claims abstract description 72
- 238000003672 processing method Methods 0.000 title claims abstract description 32
- 238000007405 data analysis Methods 0.000 title claims abstract description 10
- 230000002159 abnormal effect Effects 0.000 claims abstract description 581
- 238000012544 monitoring process Methods 0.000 claims abstract description 34
- 238000007726 management method Methods 0.000 claims description 59
- 230000002452 interceptive effect Effects 0.000 claims description 41
- 230000003068 static effect Effects 0.000 claims description 37
- 238000000034 method Methods 0.000 claims description 30
- 230000007613 environmental effect Effects 0.000 claims description 27
- 230000003993 interaction Effects 0.000 claims description 26
- 230000005856 abnormality Effects 0.000 claims description 25
- 238000013523 data management Methods 0.000 claims description 14
- 239000000758 substrate Substances 0.000 claims description 14
- 230000004044 response Effects 0.000 claims description 13
- 230000008030 elimination Effects 0.000 claims description 12
- 238000003379 elimination reaction Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 8
- 230000006399 behavior Effects 0.000 description 11
- 238000004519 manufacturing process Methods 0.000 description 10
- 235000013305 food Nutrition 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 230000000391 smoking effect Effects 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 5
- 238000012790 confirmation Methods 0.000 description 4
- 235000013361 beverage Nutrition 0.000 description 3
- 206010000117 Abnormal behaviour Diseases 0.000 description 2
- 230000004807 localization Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 206010062717 Increased upper airway secretion Diseases 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 101100112350 Rattus norvegicus Cat gene Proteins 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004883 computer application Methods 0.000 description 1
- 238000013479 data entry Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000014594 pastries Nutrition 0.000 description 1
- 208000026435 phlegm Diseases 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 238000013316 zoning Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Multimedia (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Alarm Systems (AREA)
Abstract
The application discloses a data analysis processing system, a processing method, a storage medium and electronic equipment, wherein the system comprises: the system comprises a video data acquisition end, a data processing platform end and a resource data providing end; the video data acquisition end is used for transmitting the video acquisition data acquired in the resource data arrangement scene to the data processing platform; the data processing platform end is used for receiving the video acquisition data acquired by the video data acquisition end in the resource data arrangement scene; storing and transmitting the abnormal environment data and/or the abnormal operation data to the resource data providing end according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end; the resource data providing end is used for generating abnormal prompt information according to the received abnormal environment data and/or the abnormal operation data and outputting the abnormal prompt information to the resource data providing end, so that a monitoring management closed loop link is formed, the consumption of computing resources is reduced, and the performance of data analysis and processing is improved.
Description
Technical Field
The application relates to the technical field of computer application, in particular to a data analysis processing system, an abnormal data processing method and an abnormal data processing device. The application also relates to a computer storage medium and an electronic device.
Background
The bright kitchen range is one form of food service provider showing relevant food service process to public in transparent glass, video and other modes. So that the customers of the catering enterprises can intuitively see whether the operation of the kitchen staff is standard, whether the sanitation is qualified, and whether some articles which should not appear and improper operation exist. In other words, the bright kitchen range is a supervision of kitchen production scenes of catering enterprises, so that irregular operation modes of kitchen in the production process of the catering enterprises, abnormal conditions of kitchen environments of the catering enterprises and the like can be supervised.
Disclosure of Invention
The application provides a data analysis processing system, which aims to solve the technical problems of low efficiency, poor pertinence and the like of a management mode of a kitchen range in the prior art.
The application provides a data analysis processing system, comprising: the system comprises a video data acquisition end, a data processing platform end and a resource data providing end;
The video data acquisition end is used for transmitting video acquisition data acquired in a resource data arrangement scene to the data processing platform;
The data processing platform end is used for receiving the video acquisition data acquired by the video data acquisition end in the resource data arrangement scene; identifying an image set extracted from the video acquisition data based on a static reference base image, and determining the data type of environmental data and/or operation data in the video acquisition data; determining the data type as abnormal environment data and/or abnormal operation data; storing the abnormal environment data and/or the abnormal operation data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end, and sending the abnormal environment data and/or the abnormal operation data to the resource data providing end;
The resource data providing end is used for generating abnormal prompt information according to the received abnormal environment data and/or the abnormal operation data and outputting the abnormal prompt information to the resource data providing end; responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
The application also provides an abnormal data processing method, which comprises the following steps:
responding to the received abnormal prompt information, and outputting the abnormal prompt information at a resource data providing end; the abnormal prompt information is determined according to abnormal environment data and/or abnormal operation data; the abnormal environment data and/or abnormal operation data is determined by: identifying an image set extracted from video acquisition data based on a static reference substrate image, determining the data type of environment data and/or operation data in the video acquisition data, and determining the data type as abnormal environment data and/or abnormal operation data;
Responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
In some embodiments, the outputting, in response to the access request for the anomaly prompt information, an anomaly event alert interaction interface corresponding to the anomaly prompt information includes:
Responding to an access request of the abnormal prompt information in the resource data providing end management page, and outputting a data management list page comprising the abnormal environment data and/or abnormal operation data;
and responding to the trigger of the abnormal environment data and/or the abnormal operation data items in the data management list page, and outputting the abnormal event reminding interactive interface in the data management list page.
In some embodiments, further comprising:
determining whether the outputted abnormal prompt information meets the elimination requirement;
if yes, canceling the outputted abnormal prompt information.
In some embodiments, the determining whether the output abnormality notification meets an elimination requirement includes:
Determining a reminding monitoring period of the abnormal prompt information according to the outputted reminding starting time of the abnormal prompt information;
Determining whether the abnormal environment data and/or the operation abnormal data are received again in the reminding monitoring period;
If not, determining that the abnormal prompt information meets the elimination requirement.
In some embodiments, the outputting, in response to the access request for the anomaly prompt information, an anomaly event alert interaction interface corresponding to the anomaly prompt information includes:
and responding to an access request of the abnormal prompt information, and displaying the abnormal description information for describing the abnormal data type in the abnormal event prompt interactive interface output by the management page of the resource data providing end according to the abnormal environment data and/or the abnormal data type of the abnormal operation data in the abnormal prompt information.
In some embodiments, further comprising:
Responding to the trigger of the operation control in the abnormal event reminding interactive interface, and outputting an acquisition page for acquiring the abnormal environment data and/or the abnormal operation data;
And responding to the acquisition request of the abnormal environment data and/or the operation abnormal data in the acquisition page, and outputting the display interaction interface comprising the abnormal environment data and/or the operation abnormal data.
In some embodiments, further comprising:
Responding to the trigger of determining an operation control in the display interaction interface, and exiting the display interaction interface; or responding to the trigger of the feedback operation control in the displayed interactive interface, and outputting a feedback page aiming at the abnormal environment data and/or the operation abnormal data;
And responding to the feedback operation of the feedback page, and sending feedback information.
The application also provides an abnormal data processing device, which comprises:
The first output unit is used for responding to the received abnormal prompt information and outputting the abnormal prompt information at the resource data providing end; the abnormal prompt information is determined according to abnormal environment data and/or abnormal operation data; the abnormal environment data and/or abnormal operation data is determined by: identifying an image set extracted from video acquisition data based on a static reference substrate image, determining the data type of environment data and/or operation data in the video acquisition data, and determining the data type as abnormal environment data and/or abnormal operation data;
The second output unit is used for responding to the access request of the abnormal prompt information and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
The application also provides an abnormal data processing method, which comprises the following steps:
Acquiring environment data and/or operation data in video acquisition data acquired in a resource data arrangement scene;
identifying an image set extracted from the video acquisition data according to a static reference base image, and determining the data type of the environment data and/or the operation data;
Determining the data type as abnormal environment data and/or abnormal operation data;
And storing and transmitting the abnormal environment data and/or the operation abnormal data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end.
In some embodiments, further comprising:
Determining the abnormal environment data and/or the abnormal data type to which the abnormal operation data belong according to an abnormal database established by the abnormal reference data in the resource data arrangement scene;
storing and transmitting the abnormal environment data and/or the operation abnormal data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end, wherein the method comprises the following steps:
storing and transmitting the corresponding relation, the abnormal environment data and/or the abnormal operation data and the abnormal data type.
The application also provides an abnormal data processing device, which comprises:
The acquisition unit is used for acquiring environment data and/or operation data of the resource data providing end in a resource data arrangement scene;
a first determining unit configured to determine a data type according to data type analysis of the environmental data and/or the operation data;
A second determining unit configured to determine the environment data and/or the operation data, the data type of which is abnormal, as abnormal environment data and/or abnormal operation data;
And the storage and transmission unit is used for storing and transmitting the abnormal environment data and/or the operation abnormal data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end.
The present application also provides a computer storage medium for storing a computer program;
the program executes the abnormal data processing method as described above.
The present application also provides an electronic device including:
A processor;
and a memory for storing a computer program that executes the abnormal data processing method as described above.
Compared with the prior art, the application has the following advantages:
The application provides a data analysis processing system, which is characterized in that video acquisition data acquired in a resource data arrangement scene is sent to a data processing platform through a video data acquisition end, and the data processing platform end receives the video acquisition data acquired by the video data acquisition end in the resource data arrangement scene; identifying an image set extracted from the video acquisition data based on a static reference base image, and determining the data type of environmental data and/or operation data in the video acquisition data; determining the data type as abnormal environment data and/or abnormal operation data; storing the abnormal environment data and/or the abnormal operation data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end, and sending the abnormal environment data and/or the abnormal operation data to the resource data providing end; the resource data providing end is used for generating abnormal prompt information according to the received abnormal environment data and/or the abnormal operation data and outputting the abnormal prompt information to the resource data providing end; responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface. Therefore, the data processing platform can process the data acquired by different video data acquisition ends, and the problem of limited processing caused by the influence of factors such as the specification model of the video data acquisition end, the installation angle and the like is avoided; in the process of identifying the images in the image set extracted from the video acquisition data based on the static reference base image, the images are identified only according to comparison of the images, and each image in the extracted image set is not required to be identified, so that the consumption of computing resources is reduced. Furthermore, the abnormal data determined by the data processing platform end is provided for the resource data providing end, and the corresponding abnormal description information is output through the abnormal time reminding interaction interface of the resource data providing end, so that the resource data providing end can acquire specific abnormal problems in time and process the specific abnormal problems correspondingly.
The application provides an abnormal data processing method, which can monitor the manufacturing environment and the manufacturing process of food and drink based on the angle of a merchant application end, and can receive the processing abnormal analysis result fed back by the data processing platform end by sending the monitored environment data and/or operation data to the data processing platform end, and can carry out abnormal reminding at the merchant application end according to the abnormal analysis result, and can output an abnormal event reminding interaction interface comprising abnormal description information by triggering the abnormal reminding, thereby facilitating the merchant to timely acquire whether the kitchen is abnormal or not and the specific content of the abnormal situation when the abnormal situation exists. In addition, the monitoring of abnormal condition processing can be realized through the set reminding monitoring period, and when abnormal environment data and/or abnormal operation data do not exist in the reminding monitoring period, abnormal prompt information is eliminated; therefore, merchants can intuitively acquire the processing result of kitchen management on abnormal conditions, further form a monitoring management closed loop link, realize timely discovery and timely solution, take kitchen range as a starting reference and take the angle of merchant management as a core, and realize quick acquisition and quick solution of abnormal conditions.
Drawings
FIG. 1 is a flow chart of an exception data processing method provided by the application;
FIG. 2 is a schematic diagram of an interface for outputting abnormal prompt information and prompting abnormal events in an embodiment of an abnormal data processing method provided by the application;
FIG. 3 is a schematic diagram of an exception data processing apparatus according to the present application;
FIG. 4 is a flow chart of an exception data handling method provided by the present application;
FIG. 5 is a schematic diagram of an exception data processing apparatus according to the present application;
FIG. 6 is a schematic diagram of an exception data processing system according to the present application;
Fig. 7 is a schematic structural diagram of an embodiment of an electronic device according to the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. The present application may be embodied in many other forms than those herein described, and those skilled in the art will readily appreciate that the present application may be similarly embodied without departing from the spirit or essential characteristics thereof, and therefore the present application is not limited to the specific embodiments disclosed below.
The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The manner of description used in the present application and in the appended claims is for example: "a", "a" and "a" etc. are not limited in number or order, but are used to distinguish the same type of information from each other.
According to the background technology, the application scene of the bright kitchen range is derived from the application conception, specifically, in the application scene of the bright kitchen range, in the prior art, the kitchen of a restaurant merchant is monitored, and the monitored related information is played through a display screen and the like, so that the kitchen of the restaurant merchant can be exposed to the field of view of the public so as to be conveniently supervised, and the management mode of the bright kitchen range is realized. With the continuous development of computer technology and internet technology, the technical scheme of 'internet + kitchen bright kitchen' is generated, but the main core of the intelligent video monitoring system is that the AI vision technology is utilized to perform all-weather and intelligent video monitoring on kitchen behavior standards and environmental sanitation, so as to realize real-time early warning of illegal event linkage sites, realize risk prompt at the first time and further improve food safety of the kitchen. Therefore, the food safety realized by the bright kitchen range in the prior art mainly aims at monitoring and identifying the kitchen violation event, and the link for on-site alarm cannot realize the complete supervision and control link for the kitchen violation event.
Based on the technical problems in the prior art, the present application provides an abnormal data processing method, as shown in fig. 1, fig. 1 is a flowchart of the abnormal data processing method provided by the present application, where the method is mainly described from the processing point of a resource providing end, and specifically includes:
step S101: in response to receiving the abnormal prompt information, outputting the abnormal prompt information at the resource data providing end; the abnormal prompt information is determined according to abnormal environment data and/or abnormal operation data; the abnormal environment data and/or abnormal operation data is determined by: identifying an image set extracted from video acquisition data based on a static reference substrate image, determining the data type of environment data and/or operation data in the video acquisition data, and determining the data type as abnormal environment data and/or abnormal operation data.
Step S102: responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
The following describes the above steps S101 and S102 in detail, and before describing each of the above steps, technical terms involved in the above steps are explained as follows:
The resource data arrangement scene and the application scene can be understood as a working scene required by food and beverage production, and the resource data can be further understood as food and beverage and the like; of course, the scenario from which the inventive concept is derived is merely illustrated herein as an example, and in fact, the resource data and the resource data arrangement scenario may be extended to other working scenarios of processing and shaping, and are not limited to the catering industry. In this embodiment, the resource data arrangement scenario is mainly described by taking a merchant kitchen scenario as an example.
The environmental data are also combined with a kitchen scene of a merchant, and can be understood as a kitchen working environment of the kitchen, such as related data of kitchen tops, greasy dirt, garbage cans, raw and cooked dividing areas, operation areas, pastry areas and the like;
the operation data are also combined with a kitchen scene of a merchant, and can be understood as personnel behavior data in a catering production working environment, such as: the mask wearing behavior, smoking behavior, call answering behavior, playing alarming behavior, phlegm spitting behavior, clothing wearing behavior and the like.
The environmental data and/or the operation data may be collected by a collection device disposed at a kitchen of the resource providing end, such as video image data information or picture data information, and may of course also include sound data information. The acquisition equipment can be a camera, or a camera and a cloud end of a camera service manufacturer, etc., one or more cameras can be arranged according to kitchen requirements under a kitchen work scene, and can be of the same and/or different model specifications, and the cameras are determined according to specific requirements.
The data types can comprise abnormal data types and normal data types, the abnormal data types are data types which do not meet the requirements of the working environment in the catering manufacturing process, and otherwise, the data types which meet the requirements of the working environment in the catering manufacturing process are normal data types. The abnormal environmental data include animal detection (rat cat and dog, etc.), non-zoning, unclassified garbage bin, uncleaned garbage bin, etc. Such as smoking behaviour, non-wearing mask, long-time phone call etc.
The resource data providing end can be understood as a merchant application end for providing food and beverage; may include: order systems, data statistics systems, etc.
The data processing platform end can be understood as a service end, and can be an end side for analyzing and processing data, such as image slicing, AI analysis and the like.
The management page may be understood as one of the pages in the merchant application.
Regarding the step S101: in response to receiving the abnormal prompt information, outputting the abnormal prompt information at the resource data providing end; the abnormal prompt information is determined according to abnormal environment data and/or abnormal operation data; the abnormal environment data and/or abnormal operation data is determined by: identifying an image set extracted from video acquisition data based on a static reference substrate image, determining the data type of environment data and/or operation data in the video acquisition data, and determining the data type as abnormal environment data and/or abnormal operation data.
The purpose of the step S101 is to output the abnormality notification at the resource data providing end, and the specific process may include:
step S101-11: acquiring the environment data and/or the operation data according to acquisition equipment for arranging scene layout in the resource data;
step S101-12: the acquired environment data and/or operation data are sent to a data processing platform;
Step S101-13: and identifying the image set extracted from the video acquisition data by the received data processing platform based on the static reference substrate image, determining the data type of the environmental data and/or the operation data in the video acquisition data, and outputting the determined abnormal prompt information at the resource data providing end according to the environment data and/or the operation data with the abnormal data type.
The step S101-13 of the data processing platform identifying the image set extracted from the video acquisition data based on the static reference substrate image, determining the data type of the environmental data and/or the operation data in the video acquisition data, and according to the environmental data and/or the operation data with abnormal data type may specifically include:
steps S101-1311: and carrying out object recognition on the images in the image set to obtain a recognition image.
Steps S101-1312: and determining whether a difference image exists in the identification images according to the comparison between the identification images. The contour comparison and/or the comparison of the pixel values may be performed without limitation.
Steps S101-1313: if not, the image selected randomly in the image set is determined to be the static reference substrate image.
Or specifically may include:
Steps S101-1321: randomly selecting an image from the image set as a candidate static reference substrate image;
steps S101-1322: carrying out object recognition on the images in the image set;
Steps S101-1323: updating the candidate static reference base image according to the images, the number of the object objects of which is recognized in the image set, is smaller than that of the object objects in the candidate static reference base image;
Steps S101-1324: and determining whether the number of the object objects in the candidate static reference base images is the image with the least object objects in the image set, and if so, determining the updated candidate static reference base images as the static reference base images.
After the static reference substrate image is determined, extracting a target area image from the image of the image set, predicting the data type of environment data and/or operation data in video acquisition data according to the data type of the target area image, and determining the data type as abnormal environment data and/or abnormal operation data.
As shown in fig. 2, fig. 2 is a schematic diagram of an interface for outputting abnormal prompt information and abnormal event reminding in an embodiment of an abnormal data processing method provided by the present application, and a specific implementation process of outputting abnormal prompt information at a resource data providing end in steps S101-13 may include:
Steps S101-1331: determining a management category according to the received abnormal environment data and/or abnormal operation data; the management category may include store management, order management, and the like, as shown in fig. 2, because the abnormal environment data and/or the abnormal operation data are data generated in a scenario of arranging resource data for the resource data providing end, that is, abnormal data generated for a kitchen (or kitchen) of a restaurant merchant, and thus may belong to the store management category.
Steps S101-1332: outputting the abnormal prompt information under the management category corresponding to the management page; as shown in fig. 2, the management page may display the notification information of the environment and/or the operation abnormality corresponding to the store risk information. An access interface for accessing the abnormality prompt information can also be included in the management page.
It should be noted that, the output of the abnormal prompt information at the resource data providing end may be output at the management page of the resource data providing end, or may be output by adopting a message pushing mode. In this embodiment, the description is mainly made in a management page output mode.
Regarding the step S102: responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface. The method and the device aim to output the abnormal event reminding interaction interface, so that merchants can conveniently view related abnormal environment data and/or abnormal operation data through the management page. Thus, the specific implementation procedure of step S102 may include:
step S102-1: responding to an access request of the abnormal prompt information in a management page of the resource data providing end, and outputting a data management list page comprising the abnormal environment data and/or abnormal operation data;
step S102-2: and responding to the trigger of the abnormal environment data and/or the abnormal operation data items in the data management list page, and outputting the abnormal event reminding interactive interface in the data management list page.
In step S102-1, the access request for the abnormal prompt information in the management page may be generated by directly triggering the abnormal prompt information, or may be generated by triggering an access control output in the management page. Therefore, the access interface included in the management page may be the access control, or may be an access interface established by the exception prompt information itself.
The data management list page in the step S102-1 may include status information for showing management items corresponding to the merchant management categories, for example: status information related to merchant orders under the order management category, status information of kitchen environment and/or operations under the store management category, and the like.
The purpose of the step S102-2 is to: and outputting the abnormal event reminding interaction interface, wherein the abnormal event reminding interaction interface can be displayed in a floating window mode by taking the data management list page as a background. The abnormal event reminding interactive interface may include text information and/or voice information corresponding to the abnormal environment data and/or the abnormal operation data, for example: when abnormal environment data and abnormal operation data exist, the abnormal time reminding interactive interface can output the time, description of environment abnormality, description of operation abnormality, duration of reminding and the like of the abnormal environment data and the abnormal operation data.
To facilitate understanding of the specific abnormal content of the abnormal environment data and/or the abnormal operation data, the step S102 may further include:
Responding to an access request of the abnormal prompt information, and displaying the abnormal description information for describing the abnormal data type in the abnormal event reminding interactive interface output by the management page according to the abnormal environment data and/or the abnormal data type of the abnormal operation data in the abnormal prompt information. That is, the merchant application end receives the specific category of the abnormality obtained by analyzing the abnormal environment data and/or the abnormal operation data, for example, the abnormal operation data can be analyzed to be of smoking, spitting behavior abnormality, and the like, and the description of the specific abnormal behavior can be displayed in the abnormal event reminding interactive interface. And the accuracy of the abnormal description information of the abnormal event reminding interactive interface can be improved by specific abnormal positioning of the abnormal environment data and/or the abnormal operation data, so that the specific abnormal positioning information of the abnormal condition can be directly obtained through the abnormal event reminding interactive interface.
To form a complete anomaly monitoring management link at the merchant application, may further include:
Step S103: responding to the trigger of the operation control in the abnormal event reminding interactive interface, and outputting an acquisition page for acquiring the abnormal environment data and/or the operation abnormal data; as shown in fig. 2, a confirmation control is displayed on the abnormal event reminding interactive interface, and in response to the triggering of the confirmation control, the acquisition page can be output, where the acquisition page is used for acquiring pages of video data or image data corresponding to the abnormal environment data and/or abnormal operation data.
Step S104: responding to an acquisition request of the abnormal environment data and/or the operation abnormal data in the acquisition page, and outputting the display interaction interface comprising the abnormal environment data and/or the abnormal operation data; specifically, the abnormal environment data and/or the acquisition control corresponding to the abnormal operation data may be displayed in the acquisition page, and of course, the display of the abnormal environment data and/or the abnormal operation data may be the acquisition control, and the access request is generated in response to the trigger of the acquisition control, and according to the access request, video data and/or image data corresponding to the abnormal environment data and/or the abnormal operation data are output in the output display interactive interface for reference, so that a reference condition is provided for ensuring the accuracy of the abnormal condition identification. Of course, the obtained page may include current abnormal environment data and/or abnormal operation data, and may further include historical abnormal environment data and/or historical abnormal operation data, and related information such as occurrence times and/or categories.
Based on the foregoing, to form a complete closed loop link for anomaly monitoring, the method may further include:
Step S105: responding to the trigger of determining an operation control in the display interaction interface, and exiting the display interaction interface; or responding to the trigger of the feedback operation control in the displayed interactive interface, and outputting a feedback page aiming at the abnormal environment data and/or the abnormal operation data;
Step S106: and responding to the feedback operation of the feedback page, and sending feedback information. The feedback information may be a complaint link channel for abnormal environmental data and/or abnormal operation data, so as to avoid occurrence of erroneous judgment; or the feedback information can be a feedback link channel for processing abnormal environment data and/or abnormal operation data, so that the follow-up continuous monitoring for the current abnormal condition processing is facilitated, a complete closed loop management link can be formed under the kitchen range-lighting requirement scene, and the monitoring and abnormal processing integrity is improved.
Likewise, continuous monitoring of the monitored abnormal environment data and/or abnormal operation data may be further included in the formed monitoring closed loop management link to improve the processing efficiency for the occurring abnormal situation, and thus may further include:
step S107: determining whether the abnormal prompt information output by the management page meets the elimination requirement;
step S108: if yes, canceling the abnormal prompt information output by the management page.
The purpose of the step S107 is to determine whether the abnormal prompting information can be eliminated from the management page, and the specific implementation process may include:
step S107-11: according to the prompting starting time of the abnormal prompting information output by the management page, determining the prompting monitoring period of the abnormal prompting information;
Step S107-12: determining whether the abnormal environment data and/or the abnormal operation data are received again in the reminding monitoring period;
step S107-13: if not, determining that the abnormal prompt information meets the elimination requirement; if yes, continuing to output the abnormal prompt information.
The reminding monitoring period may be set according to 7 days, 10 days, 15 days, or the like after the starting time of the reminding, and specific types of abnormality of the abnormal environment data and/or the abnormal operation data may be combined, for example: for abnormality of the birth and maturity distinction, the reminder monitoring period may be set longer, for abnormality of smoking, the reminder monitoring period may be set shorter, or the like, and the setting of the specific reminder monitoring period is not limited to the above-described example.
The foregoing describes steps S101 to S102 in the method for processing abnormal data provided by the present application in combination with the specific embodiment, where the method can monitor the manufacturing environment and the manufacturing process of food and drink according to the angle of the merchant application end, send the monitored environmental data and/or operation data to the data processing platform end, receive the processing abnormal analysis result fed back by the data processing platform end, and perform abnormal reminding on the management page of the merchant application end according to the abnormal analysis result, and output an abnormal event reminding interactive interface including the abnormal description information through triggering the abnormal reminding, so that the merchant can timely learn whether the kitchen is abnormal or not, and when the abnormal condition exists, the specific content of the abnormal condition is provided. In addition, the monitoring of abnormal condition processing can be realized through the set reminding monitoring period, and when abnormal environment data and/or abnormal operation data do not exist in the reminding monitoring period, the abnormal prompt information in the management page is eliminated; therefore, merchants can intuitively acquire the processing result of kitchen management on abnormal conditions, further form a monitoring management closed loop link, realize timely discovery and timely solution, take kitchen range as a starting reference and take the angle of merchant management as a core, and realize quick acquisition and quick solution of abnormal conditions.
The foregoing is a specific description of an embodiment of an abnormal data processing method according to the present application, which corresponds to the foregoing embodiment of an abnormal data processing method, and the present application further discloses an embodiment of an abnormal data processing apparatus, referring to fig. 3, and since the apparatus embodiment is substantially similar to the method embodiment, the description is relatively simple, and the relevant points refer to part of the description of the method embodiment. The device embodiments described below are merely illustrative.
As shown in fig. 3, fig. 3 is a schematic structural diagram of an abnormal data processing apparatus provided in the present application, where the apparatus may include: a first output unit 301, a second output unit 302;
The first output unit 301 is configured to output, in response to receiving the abnormality notification, the abnormality notification at the resource data providing end; the abnormal prompt information is determined according to abnormal environment data and/or abnormal operation data; the abnormal environment data and/or abnormal operation data is determined by: identifying an image set extracted from video acquisition data based on a static reference substrate image, determining the data type of environment data and/or operation data in the video acquisition data, and determining the data type as abnormal environment data and/or abnormal operation data.
The first output unit 301 may specifically include: the device comprises an acquisition subunit, a sending subunit and a first output subunit; the acquisition subunit is used for acquiring the environment data and/or the operation data according to acquisition equipment for arranging scene layout in the resource data; the sending subunit is used for sending the acquired environment data and/or operation data to a data processing platform. The first output subunit is configured to identify, based on a static reference base image, a received image set extracted from video acquisition data by using the data processing platform, determine a data type of environmental data and/or operation data in the video acquisition data, and output, according to the environmental data and/or operation data with the data type being abnormal, determined abnormal prompt information at a resource data providing end.
The first output subunit may further include: an identification subunit, a first determination subunit, and a second determination subunit; the identification subunit is used for carrying out object identification on the images in the image set and obtaining identification images. The first determining subunit is configured to determine whether a difference image exists in the identification images according to a comparison between the identification images. The contour comparison and/or the comparison of the pixel values may be performed without limitation. And the second determining subunit is configured to determine, if not, the randomly selected image in the image set as the static reference substrate image. Or comprises: the method comprises the steps of selecting a subunit, identifying the subunit, updating the subunit and determining the subunit. The selecting subunit is used for randomly selecting an image in the image set to serve as a candidate static reference substrate image; the identification subunit is used for carrying out object identification on the images in the image set; the updating subunit is configured to update the candidate static reference base image according to an image, where the number of the object objects identified in the image set is smaller than the number of the object objects in the candidate static reference base image; and the determining subunit is used for determining whether the number of the object objects in the candidate static reference base images is the image with the least object objects in the image set, and if so, determining the updated candidate static reference base images as the static reference base images.
The first output unit 301 may include: a first determination subunit and a second output subunit; the first determining subunit is configured to determine a management category according to the received abnormal environment data and/or abnormal operation data. The management category may include store management, order management, and the like, as shown in fig. 2, because the abnormal environment data and/or the abnormal operation data are data generated in a scenario of arranging resource data for the resource data providing end, that is, abnormal data generated for a kitchen (or kitchen) of a restaurant merchant, and thus may belong to the store management category. The second output subunit is configured to output the abnormality prompt information under the management category corresponding to the management page; as shown in fig. 2, the management page may display the notification information of the environment and/or the operation abnormality corresponding to the store risk information. An access interface for accessing the abnormality prompt information can also be included in the management page.
The second output unit 302 is configured to output an abnormal event reminding interactive interface corresponding to the abnormal prompt information in response to an access request for the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
The second output unit 302 may include: a first output subunit and a second output subunit; the first output subunit is configured to output a data management list page that includes the abnormal environment data and/or abnormal operation data in response to an access request for the abnormal prompt information in the management page; the second output subunit is configured to respond to triggering of the abnormal environment data and/or the abnormal operation data entry in the data management list page, and output the abnormal event reminding interactive interface on the data management list page.
The second output unit 302 may be further specifically configured to respond to an access request for the anomaly prompt information, and display, in the anomaly event alert interactive interface output by the management page, the anomaly description information for describing the anomaly data type according to the anomaly environment data and/or the anomaly data type of the anomaly operation data in the anomaly prompt information. That is, the merchant application end receives the specific category of the abnormality obtained by analyzing the abnormal environment data and/or the abnormal operation data, for example, the abnormal operation data can be analyzed to be of smoking, spitting behavior abnormality, and the like, and the description of the specific abnormal behavior can be displayed in the abnormal event reminding interactive interface. And the accuracy of the abnormal description information of the abnormal event reminding interactive interface can be improved by specific abnormal positioning of the abnormal environment data and/or the abnormal operation data, so that the specific abnormal positioning information of the abnormal condition can be directly obtained through the abnormal event reminding interactive interface.
Based on the above, it may further include: the method comprises the steps of obtaining a page output unit and an interactive interface output unit; the acquisition page output unit is used for responding to the trigger of the operation control in the abnormal event reminding interactive interface and outputting an acquisition page for acquiring the abnormal environment data and/or the operation abnormal data; as shown in fig. 2, a confirmation control is displayed on the abnormal event reminding interactive interface, and in response to the triggering of the confirmation control, the acquisition page can be output, where the acquisition page is used for acquiring pages of video data or image data corresponding to the abnormal environment data and/or abnormal operation data. The interactive interface output unit is used for responding to the acquisition request of the abnormal environment data and/or the operation abnormal data in the acquisition page and outputting the display interactive interface comprising the abnormal environment data and/or the abnormal operation data; specifically, the abnormal environment data and/or the acquisition control corresponding to the abnormal operation data may be displayed in the acquisition page, and of course, the display of the abnormal environment data and/or the abnormal operation data may be the acquisition control, and the access request is generated in response to the trigger of the acquisition control, and according to the access request, video data and/or image data corresponding to the abnormal environment data and/or the abnormal operation data are output in the output display interactive interface for reference, so that a reference condition is provided for ensuring the accuracy of the abnormal condition identification. Of course, the obtained page may include current abnormal environment data and/or abnormal operation data, and may further include historical abnormal environment data and/or historical abnormal operation data, and related information such as occurrence times and/or categories.
Based on the foregoing, in some embodiments, it may further include: an exit unit or a feedback output unit, and a transmitting unit; the exit unit is used for responding to the trigger of the operation control determined in the display interaction interface and exiting the display interaction interface; the feedback output unit is used for responding to the trigger of the feedback operation control in the displayed interactive interface and outputting the feedback page aiming at the abnormal environment data and/or the abnormal operation data; the sending unit is used for responding to the feedback operation of the feedback page and sending feedback information. The feedback information may be a complaint link channel for abnormal environmental data and/or abnormal operation data, so as to avoid occurrence of erroneous judgment; or the feedback information can be a feedback link channel for processing abnormal environment data and/or abnormal operation data, so that the follow-up continuous monitoring for the current abnormal condition processing is facilitated, a complete closed loop management link can be formed under the kitchen range-lighting requirement scene, and the monitoring and abnormal processing integrity is improved.
Likewise, continuous monitoring of the monitored abnormal environment data and/or abnormal operation data may be further included in the formed monitoring closed loop management link to improve the processing efficiency for the occurring abnormal situation, and thus may further include:
The elimination requirement determining unit is used for determining whether the abnormal prompt information output by the management page meets the elimination requirement;
And the cancellation unit is used for canceling the abnormal prompt information output by the management page according to the determination result of the cancellation requirement determination unit.
The specific implementation of the elimination requirement determining unit may include: a first determination subunit, a second determination subunit, and a third determination subunit;
the first determining subunit is configured to determine a reminder monitoring period of the abnormal prompt information according to a reminder start time of the management page for outputting the abnormal prompt information;
The second determining subunit is configured to determine whether the abnormal environment data and/or the abnormal operation data are received again in the alert monitoring period;
the third determining subunit is configured to determine, when the determination result of the second determining subunit is no, that the abnormality prompting information meets the elimination requirement; if yes, continuing to output the abnormal prompt information;
The above is a description of an abnormal data processing apparatus provided by the present application, and specific details of the apparatus may be referred to the description related to steps S101 to S107, which will not be described in detail herein.
The method and the device for processing the abnormal data provided by the application are mainly described from the perspective of a merchant end, and are described from the perspective of a data processing platform end.
As shown in fig. 4, fig. 4 is a flowchart of an abnormal data processing method provided in the present application, where the method may include:
step S401: acquiring environment data and/or operation data in video acquisition data acquired in a resource data arrangement scene;
Step S402: identifying an image set extracted from the video acquisition data according to a static reference base image, and determining the data type of the environment data and/or the operation data;
Step S403: determining the data type as abnormal environment data and/or abnormal operation data;
Step S404: and storing and transmitting the abnormal environment data and/or the operation abnormal data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end.
The steps S401 to S404 are mainly described by a data processing platform, and are aimed at performing data type analysis on the acquired environmental data and/or operation data to obtain abnormal data and normal data, determining the abnormal environmental data as abnormal environmental data, and determining the abnormal operation data as abnormal operation data. Because the abnormal environment data and/or the abnormal operation data need to be sent to the merchant end, the abnormal environment data and/or the abnormal operation data need to be sent and stored according to the corresponding relation between the abnormal data and the resource data providing end. Wherein the determining of the static reference base image may comprise: object recognition is carried out on the images in the image set, and a recognition image is obtained; determining whether there is a difference image of the identification images (by comparing contours and/or pixel values, particularly without limitation) based on the comparison between the identification images; if not, the image selected randomly in the image set is determined to be the static reference substrate image.
The environmental data and/or the operation data acquired in the step S401 may be video data and/or image data acquired by the acquisition device in the resource data arrangement scene; when the environmental data and/or the operation data are video data, the step S402 may be to slice the video, i.e. divide the video into image frames, identify the image content by AI identification technology, and determine the data type based on the static reference base image.
To improve the accurate localization of the abnormal environmental data and the abnormal operation data, it may further include:
Determining the abnormal environment data and/or the abnormal data type to which the abnormal operation data belong according to an abnormal database established by the abnormal reference data in the resource data arrangement scene; the abnormal database may store different types of abnormal data in the resource data arrangement scene, and may also be classified into an environment abnormal category and an operation abnormal category, and the abnormal data type to which the abnormal environment data belongs is further determined by matching the identified abnormal environment data with the image data in the environment abnormal category in the abnormal database, for example: matching the images of the abnormal environment data with the images of the environment abnormal categories, wherein the matching result is that the garbage can is not cleaned, and the abnormal data type is garbage can abnormality; if the abnormal operation data is the abnormal operation data, the image of the abnormal operation data can be matched with the image under the abnormal operation category, the matching result is smoking, and the abnormal data type is smoking abnormality. The step S404 may specifically store and send the correspondence, the abnormal environment data, and/or the abnormal operation data and the abnormal data type; thus, more accurate abnormal data types can be sent to the merchant side.
The method can be used for combining the type of the abnormal data attribution with the abnormal database more accurately after carrying out AI identification on the environment data and/or the operation data so as to facilitate the follow-up reminding and processing more pertinence.
The foregoing is a specific description of an embodiment of an abnormal data processing method according to the present application, which corresponds to the foregoing embodiment of an abnormal data processing method, and the present application further discloses an embodiment of an abnormal data processing apparatus, please refer to fig. 5, and since the apparatus embodiment is substantially similar to the method embodiment, the description is simpler, and the relevant points refer to part of the description of the method embodiment. The device embodiments described below are merely illustrative.
As shown in fig. 5, the apparatus includes:
An acquiring unit 501, configured to acquire environmental data and/or operation data in video acquisition data acquired in a resource data arrangement scene;
a first determining unit 502, configured to identify an image set extracted from the video acquisition data according to a static reference base image, and determine a data type of the environmental data and/or the operation data;
a second determining unit 503, configured to determine the data type as abnormal environment data and/or abnormal operation data;
And a storage and transmission unit 504, configured to store and transmit the abnormal environment data and/or the abnormal operation data according to a correspondence between the abnormal environment data and/or the abnormal operation data and a resource data providing end.
To improve the accurate localization of the abnormal environmental data and the abnormal operation data, it may further include:
the establishing unit is used for determining the abnormal environment data and/or the abnormal data type to which the abnormal operation data belong according to an abnormal database established by the abnormal reference data in the resource data arrangement scene; the storage and transmission unit 504 may be specifically configured to store and transmit the correspondence relationship, the abnormal environment data, and/or the abnormal operation data and the abnormal data type.
For the specific contents of the above-described acquisition unit 501 to the establishment unit, reference may be made to the above-described steps S101 to S107, and the above-described steps S401 to S404, which will not be described in detail herein.
Based on the foregoing, the present application also provides a data analysis processing system, as shown in fig. 6, where the system is mainly described in terms of a data processing platform end and a resource data providing end, and may specifically include: a data processing platform end 601, a resource data providing end 602 and a video data acquisition end 603;
the data processing platform end 601 is configured to receive video acquisition data acquired by the video data acquisition end in a resource data arrangement scene; identifying an image set extracted from the video acquisition data based on a static reference base image, and determining the data type of environmental data and/or operation data in the video acquisition data; determining the data type as abnormal environment data and/or abnormal operation data; storing the abnormal environment data and/or the abnormal operation data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end, and sending the abnormal environment data and/or the abnormal operation data to the resource data providing end;
The resource data providing end 602 may be understood as a merchant end, and is specifically configured to generate, according to the received abnormal environmental data and/or the received abnormal operation data, abnormal prompt information, and output the generated abnormal prompt information at the resource data providing end; responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
The video data acquisition end is used for transmitting video acquisition data acquired in the resource data arrangement scene to the data processing platform; the video data acquisition end can comprise a camera or can comprise a camera and a cloud end of a camera service manufacturer, and video acquisition data can be sent to the data processing platform by the cloud end.
Regarding the above system, reference may be made to the related contents of step S101, step S102, and the like, and the related contents of step S401 to step S404, and the like, which are related to the above embodiment of the abnormal data processing method, and will not be described in detail herein.
Based on the foregoing, the present application also provides a computer storage medium for storing a computer program;
The program executes the relevant contents as in steps S101 to S108 in the above-described abnormal data processing method or as in steps S401 to S404 in the above-described abnormal data processing method.
Based on the above, the present application further provides an electronic device, as shown in fig. 7, which may include:
A processor 701;
A memory 702 for storing a computer program that executes steps S101 to S108 as in the above-described abnormal data processing method or executes the relevant contents of steps S401 to S404 as in the above-described abnormal data processing method.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and provide corresponding operation entries for the user to select authorization or rejection.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
1. Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer readable media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.
2. It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
While the application has been described in terms of preferred embodiments, it is not intended to be limiting, but rather, it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the spirit and scope of the application as defined by the appended claims.
Claims (10)
1. A data analysis processing system, comprising: the system comprises a video data acquisition end, a data processing platform end and a resource data providing end;
The video data acquisition end is used for transmitting video acquisition data acquired in a resource data arrangement scene to the data processing platform;
The data processing platform end is used for receiving the video acquisition data acquired by the video data acquisition end in the resource data arrangement scene; identifying an image set extracted from the video acquisition data based on a static reference base image, and determining the data type of environmental data and/or operation data in the video acquisition data; determining the data type as abnormal environment data and/or abnormal operation data; storing the abnormal environment data and/or the abnormal operation data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end, and sending the abnormal environment data and/or the abnormal operation data to the resource data providing end;
The resource data providing end is used for generating abnormal prompt information according to the received abnormal environment data and/or the abnormal operation data and outputting the abnormal prompt information to the resource data providing end; responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
2. An abnormal data processing method, comprising:
responding to the received abnormal prompt information, and outputting the abnormal prompt information at a resource data providing end; the abnormal prompt information is determined according to abnormal environment data and/or abnormal operation data; the abnormal environment data and/or abnormal operation data is determined by: identifying an image set extracted from video acquisition data based on a static reference substrate image, determining the data type of environment data and/or operation data in the video acquisition data, and determining the data type as abnormal environment data and/or abnormal operation data;
Responding to an access request of the abnormal prompt information, and outputting an abnormal event prompt interaction interface corresponding to the abnormal prompt information; and displaying the abnormal description information corresponding to the abnormal environment data and/or the operation abnormal data in the abnormal event reminding interactive interface.
3. The method according to claim 2, wherein the outputting, in response to the access request for the abnormality notification, an abnormality notification interaction interface corresponding to the abnormality notification includes:
Responding to an access request of the abnormal prompt information in the resource data providing end management page, and outputting a data management list page comprising the abnormal environment data and/or abnormal operation data;
and responding to the trigger of the abnormal environment data and/or the abnormal operation data items in the data management list page, and outputting the abnormal event reminding interactive interface in the data management list page.
4. The abnormal data processing method according to claim 3, further comprising:
determining whether the outputted abnormal prompt information meets the elimination requirement;
if yes, canceling the outputted abnormal prompt information.
5. The method of claim 4, wherein determining whether the output abnormality notification meets an elimination requirement comprises:
Determining a reminding monitoring period of the abnormal prompt information according to the outputted reminding starting time of the abnormal prompt information;
Determining whether the abnormal environment data and/or the operation abnormal data are received again in the reminding monitoring period;
If not, determining that the abnormal prompt information meets the elimination requirement.
6. The method according to claim 1, wherein the outputting an abnormal event reminder interaction interface corresponding to the abnormal reminder information in response to an access request to the abnormal reminder information comprises:
and responding to an access request of the abnormal prompt information, and displaying the abnormal description information for describing the abnormal data type in the abnormal event prompt interactive interface output by the management page of the resource data providing end according to the abnormal environment data and/or the abnormal data type of the abnormal operation data in the abnormal prompt information.
7. An abnormal data processing method, comprising:
Acquiring environment data and/or operation data in video acquisition data acquired in a resource data arrangement scene;
identifying an image set extracted from the video acquisition data according to a static reference base image, and determining the data type of the environment data and/or the operation data;
Determining the data type as abnormal environment data and/or abnormal operation data;
And storing and transmitting the abnormal environment data and/or the operation abnormal data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end.
8. The abnormal data processing method according to claim 7, further comprising:
Determining the abnormal environment data and/or the abnormal data type to which the abnormal operation data belong according to an abnormal database established by the abnormal reference data in the resource data arrangement scene;
storing and transmitting the abnormal environment data and/or the operation abnormal data according to the corresponding relation between the abnormal environment data and/or the abnormal operation data and the resource data providing end, wherein the method comprises the following steps:
storing and transmitting the corresponding relation, the abnormal environment data and/or the abnormal operation data and the abnormal data type.
9. A computer storage medium storing a computer program;
the program performs the abnormal data processing method according to any one of the preceding claims 2 to 6, or performs the abnormal data processing method according to claim 7 or 8.
10. An electronic device, comprising:
A processor;
Memory for storing a computer program which executes the abnormal data processing method according to any one of the preceding claims 2 to 6 or the abnormal data processing method according to claim 7 or 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410067147.6A CN117893815A (en) | 2024-01-16 | 2024-01-16 | Data analysis processing system, processing method, storage medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410067147.6A CN117893815A (en) | 2024-01-16 | 2024-01-16 | Data analysis processing system, processing method, storage medium and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117893815A true CN117893815A (en) | 2024-04-16 |
Family
ID=90645355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410067147.6A Pending CN117893815A (en) | 2024-01-16 | 2024-01-16 | Data analysis processing system, processing method, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117893815A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114723904A (en) * | 2022-04-13 | 2022-07-08 | 腾讯科技（深圳）有限公司 | Method, system, computer device and storage medium for dynamic management of airport data |
| WO2023040575A1 (en) * | 2021-09-17 | 2023-03-23 | 中通服和信科技有限公司 | Internet-of-things-based abnormality early warning analysis system and method for special operation site |
| CN116013039A (en) * | 2022-10-25 | 2023-04-25 | 锐思为精(武汉)科技有限公司 | Machine room environment safety monitoring system and control method thereof |
| CN116883733A (en) * | 2023-07-04 | 2023-10-13 | 深圳银星智能集团股份有限公司 | Interactive control method and electronic equipment |
-
2024
- 2024-01-16 CN CN202410067147.6A patent/CN117893815A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023040575A1 (en) * | 2021-09-17 | 2023-03-23 | 中通服和信科技有限公司 | Internet-of-things-based abnormality early warning analysis system and method for special operation site |
| CN114723904A (en) * | 2022-04-13 | 2022-07-08 | 腾讯科技（深圳）有限公司 | Method, system, computer device and storage medium for dynamic management of airport data |
| CN116013039A (en) * | 2022-10-25 | 2023-04-25 | 锐思为精(武汉)科技有限公司 | Machine room environment safety monitoring system and control method thereof |
| CN116883733A (en) * | 2023-07-04 | 2023-10-13 | 深圳银星智能集团股份有限公司 | Interactive control method and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106850346B (en) | Method and device for monitoring node change and assisting in identifying blacklist and electronic equipment | |
| CA2773749C (en) | Public safety analysis system | |
| CN111917877A (en) | Data processing method and device for Internet of things equipment, electronic equipment and storage medium | |
| CN109947079A (en) | Region method for detecting abnormality and edge calculations equipment based on edge calculations | |
| CN110663030A (en) | Edge device, system and method for processing extreme data | |
| CN114676862A (en) | Visual operation and maintenance management method and system for data center | |
| CN111061831A (en) | Method and device for switching machine customer service to manual customer service and electronic equipment | |
| CN112182295B (en) | Service processing method and device based on behavior prediction and electronic equipment | |
| US20190392071A1 (en) | System and method for generating resilience within an augmented media intelligence ecosystem | |
| US20120035977A1 (en) | Enterprise Consumer Complaints Program | |
| CN115273231A (en) | Information processing method, information processing apparatus, storage medium, and electronic device | |
| CN115103157A (en) | Video analysis method and device based on edge cloud cooperation, electronic equipment and medium | |
| CN110928305A (en) | Patrol method and system for railway passenger station patrol robot | |
| CN110991840A (en) | Takeout platform, equipment and medium based on block chain | |
| CN117496613A (en) | Inspection method, system and equipment for Internet of things equipment | |
| CN109670079B (en) | Supervising method and system based on monitoring system | |
| CN117893815A (en) | Data analysis processing system, processing method, storage medium and electronic equipment | |
| CN114663834B (en) | On-site monitoring method for express storage | |
| CN111127828A (en) | Multi-source alarm processing method and device based on unified alarm platform and related equipment | |
| CN110598567A (en) | Community-based garbage management method and system and computer-readable storage medium | |
| CN115147947A (en) | Video inspection method and device, electronic equipment and computer program product | |
| CN112801788A (en) | Internet stock right financing platform monitoring system and monitoring method | |
| WO2020172240A1 (en) | System and method for image analysis based security system | |
| CN110852517A (en) | Abnormal behavior early warning method and device, data processing equipment and storage medium | |
| TW200840275A (en) | Automatic monitor-analysis and problem diagnosis system for mobile network and the method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |