WO2019100616A1 - 事件评价数据显示方法、装置、计算机设备及计算机存储介质 - Google Patents

事件评价数据显示方法、装置、计算机设备及计算机存储介质 Download PDF

Info

Publication number
WO2019100616A1
WO2019100616A1 PCT/CN2018/077066 CN2018077066W WO2019100616A1 WO 2019100616 A1 WO2019100616 A1 WO 2019100616A1 CN 2018077066 W CN2018077066 W CN 2018077066W WO 2019100616 A1 WO2019100616 A1 WO 2019100616A1
Authority
WO
WIPO (PCT)
Prior art keywords
evaluation data
event evaluation
event
severity
data
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.)
Ceased
Application number
PCT/CN2018/077066
Other languages
English (en)
French (fr)
Inventor
朱勇军
谭志荣
吴科宏
李海林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ping An Technology Shenzhen Co Ltd
Original Assignee
Ping An Technology Shenzhen Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ping An Technology Shenzhen Co Ltd filed Critical Ping An Technology Shenzhen Co Ltd
Publication of WO2019100616A1 publication Critical patent/WO2019100616A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying

Definitions

  • the present application relates to the field of computer technology, and in particular, to an event evaluation data display method, apparatus, computer device, and storage medium.
  • an event evaluation data display, apparatus, computer device, and computer storage medium are provided that address one or more of the problems involved in the background.
  • An event evaluation data display method comprising:
  • the event evaluation data is acquired, and the event evaluation data is displayed in the corresponding target area.
  • An event evaluation data display device comprising:
  • An obtaining module configured to acquire an initiality area of severity in a data display map corresponding to a preset severity level
  • a calculation module configured to acquire an initial boundary value of the initial region of the severity, and calculate an adjustment boundary value according to the initial boundary value and a time period during which the event occurs;
  • an adjusting module configured to adjust the initial region of the severity in the data display map according to the adjusted boundary value to obtain a target region
  • a display module configured to acquire event evaluation data, and display the event evaluation data in the corresponding target area.
  • a computer apparatus comprising a memory and a processor, the memory storing computer readable instructions, wherein the processor, when executing the computer readable instructions, implements the following steps:
  • the event evaluation data is acquired, and the event evaluation data is displayed in the corresponding target area.
  • One or more non-transitory computer readable storage media storing computer readable instructions, when executed by one or more processors, cause one or more processors to perform the following steps:
  • the event evaluation data is acquired, and the event evaluation data is displayed in the corresponding target area.
  • FIG 1 is an application scenario diagram of an event evaluation data display method in an embodiment
  • FIG. 2 is a flow chart showing a method for displaying event evaluation data in an embodiment
  • FIG. 3 is a schematic diagram of an initial region of a data display graph severity in an embodiment
  • FIG. 4 is a schematic diagram of a data display graph severity target area in an embodiment
  • Figure 5 is a flow chart showing the steps of displaying a region map in an embodiment
  • Figure 6 is a flow chart showing the steps associated with an embodiment
  • Figure 7 is a flow chart showing the steps of displaying associated data in an embodiment
  • FIG 8 is a flow chart of step S208 in the embodiment shown in Figure 2;
  • FIG. 9 is a flowchart of a step of outputting prompt information in an embodiment
  • FIG. 10 is a schematic structural diagram of an event evaluation data display device in an embodiment
  • FIG. 11 is a schematic structural diagram of a computer device in an embodiment.
  • FIG. 1 is an application scenario diagram of an event evaluation data display method in an embodiment, which includes an event evaluation data display platform and a server, and the event evaluation data display platform can communicate with a server, and the event evaluation data display platform can be
  • the server obtains the initiality area of the severity in the data display map corresponding to the preset severity level
  • the event evaluation data display platform obtains the initial boundary value of the initial region of the severity, and calculates the adjustment boundary according to the initial boundary value and the time period in which the event occurs.
  • the value is adjusted according to the adjustment boundary value to obtain the target area, and the event evaluation data display platform obtains the pre-stored event evaluation data from the server, and displays the event evaluation data in the corresponding In the target area, the target area in which the event evaluation data is displayed is displayed to the user.
  • a flowchart of a method for displaying event evaluation data is provided.
  • the method is applied to the event evaluation data display platform in FIG. 1 to illustrate the platform.
  • An event evaluation data display program is run, and event evaluation data display is performed by the event evaluation data display program.
  • the method comprises the following steps:
  • S202 Acquire an initiality area of severity in the data display map corresponding to the preset severity level.
  • the data display map refers to a graph in which event evaluation data can be visually displayed, and the data display graph can be a two-dimensional map, a map, a pie chart, or a radar map.
  • the severity level refers to the severity of the event that can be characterized.
  • the event that occurs can be an event that indicates one or more aspects of the work of the business or business unit.
  • the severity level can be preset according to the severity of the event. The higher the degree, the more serious the loss caused by the event. For example, the severity level can be preset to level 1 to level 5. When the severity level is level 1, it indicates that the loss caused by the event is not serious, when the severity level is When it is level 5, it means that the loss caused by this event is serious.
  • the severity initial area refers to the severity initial area corresponding to the preset severity level according to the preset severity level in the data display diagram, and the different severity initial areas correspond to one severity level, the severity initial area.
  • Different colors may be used to correspond to different severity levels, and the initial regions of severity may also have different shapes corresponding to different severity levels, for example, the initial regions of severity may be set to green, blue, yellow, orange, and red, respectively.
  • the severity levels corresponding to the presets are Level 1, Level 2, Level 3, Level 4, and Level 5, respectively.
  • the event evaluation data display platform acquires, from the server, an initiality area of severity corresponding to a preset severity level in the data display map.
  • an initiality area of severity corresponding to a preset severity level in the data display map.
  • FIG. 3 a schematic diagram of an initial area of the data display severity is provided.
  • the data display is a two-dimensional map.
  • the horizontal direction of the two-dimensional image is divided into five grids, and the longitudinal direction is divided into five grids. It is divided into 25 grids, and 25 grids in the data display map are divided into five regions, namely, region S1, region S2, region S3, region S4, and region S5.
  • Region S1 corresponds to severity level 1 and region S2 corresponds to severe Degree level 2
  • area S3 corresponds to severity level 3
  • area S4 corresponds to severity level 4
  • area S5 corresponds to severity level 5, where area S1 occupies the first row, first column, a row of the second column and the second row of the first column
  • the region S2 occupies the first row and the third column, the first row and the fourth column, the second row, the second column, the second row, the third column, the first row Three rows of the first column, the third row of the second column and the fourth row of the first column
  • the region S3 occupies the first row of the fifth column, the second row of the fourth column, the third row of the third column, the third column
  • the third column Four rows of the second column and the fifth row of the first column
  • the region S4 accounts for the second row, the fifth column, the third row, the fourth column, the Three rows, fifth column, fourth row, third column, fourth row, fourth column, fifth row, second column, fifth row, third column
  • S204 Acquire an initial boundary value of the initial region of the severity, and calculate an adjustment boundary value according to the initial boundary value and a time period during which the event occurs.
  • the initial boundary value refers to a value of a boundary position of a different severity initial region in the data display graph, and the initial boundary value may be a preset boundary value of a different severity initial region, for example, may continue to refer to the figure. 3.
  • the first initial boundary is a1, the value of the position where a1 is located is the first initial boundary value, the second initial boundary value a2, the value of the position where a2 is located is the second initial boundary value, etc.
  • the adjustment boundary value refers to Adjusting the boundary of different initial regions of the severity in the data display graph to the value of the actual boundary position to adjust the area of the initial region of different severity; the time period in which the event occurs is a certain time interval in which the occurrence occurs.
  • the time period during which the event occurs may be 3 months, 6 months, 9 months, or 12 months.
  • the event evaluation data display platform obtains an initial boundary value of the event, and then calculates an adjustment boundary value according to the time period in which the event occurs.
  • the event evaluation data shows that the platform obtains the initial boundary value of the initial region of the severity, such as obtaining the first initial boundary value of 3, and if the scale of the abscissa is at 100 intervals, the first initial boundary is at the abscissa of 3
  • the product of the first initial value and the time period is calculated as the adjustment boundary value
  • the product of the first initial boundary value 3 and 12 is 36, and the first adjustment boundary is obtained.
  • the initial boundary value of the severity initial region may be preset to other different values according to actual event occurrences, for example, the first initial boundary value may be preset to 0.5, 1, 1.2, 5, 6.1, or 10, and the like.
  • S206 Adjust the initial region of the severity in the data display map according to the adjustment boundary value to obtain the target region.
  • the event evaluation data display platform adjusts the initiality area of the severity in the data display map according to the calculated adjustment boundary value to obtain a target area of the severity in the data display map. Further, the event evaluation processing platform adjusts the segmentation boundary of the different initial regions of the severity in the data display map according to the calculated adjustment boundary value, thereby adjusting the severity initial region, thereby obtaining the severity in the data display map.
  • Target area For example, referring to FIG. 4, a schematic diagram of a data display graph severity target area is provided. The horizontal coordinate scale in the data display graph is at intervals of 100, and the event evaluation data display platform adjusts the first initial boundary to the position of 36 according to the first adjustment boundary value 36, and the event evaluation data display platform according to the second adjustment boundary value.
  • the second adjusted boundary value, the third adjusted boundary value, and the fourth adjusted boundary value respectively adjust the second initial boundary, the third initial boundary, and the fourth initial boundary to the second actual boundary, the third actual boundary, and the fourth actual boundary
  • the severity first initial region S1, the second initial region S2, the third initial region S3, the fourth initial region S4, and the fifth initial region S5 in the data display map are adjusted to the first target region S11 and the second target.
  • S208 Acquire event evaluation data, and display the event evaluation data in the corresponding target area.
  • the event evaluation data refers to data used to represent one or more aspects of the work of the business person or the business department, and the event evaluation data may represent the severity of the loss of the event, for example, the event evaluation data may be an evaluation of a certain
  • the loss caused by an event occurring in a region may also be the loss of time incurred in a certain period of time in a particular area. For example, data on operational errors of personnel in Ping An Insurance in Shanghai, data on internal fraud or physical assets may be assessed.
  • Damaged data, etc. that is, the event evaluation data can characterize the severity of the person's operational error, the severity of internal fraud or the severity of physical asset damage, etc., or it can be a comprehensive evaluation of the loss of all events in Ping An Insurance in Shanghai; The data can also be used to evaluate the loss of events in Ping An Insurance in Shanghai within half a year, and to characterize the severity of the incident.
  • the severity of the event is set to level 1 to level 3, and the event evaluation data is greater than or equal to 0, and less than 1, the severity of the event that is characterized by the occurrence of the loss is considered to be level 1, and when the event evaluation data is greater than or equal to 1, less than 2, It is considered that the severity of the event that occurs in the characterization is 2, and when the event evaluation data is greater than or equal to 2 and less than 3, the severity of the event occurring in the characterization is considered to be 3 levels.
  • the event evaluation data displays pre-stored event evaluation data acquired by the platform from the server, and then displays the event evaluation data in a corresponding target area in the data display map.
  • the target area of the severity in the data display graph has three target areas, respectively being the first target area, indicating that the severity is level 1 and the second target area, indicating that the severity is level 2 and the third target area, indicating The severity is level 3, and the event evaluation data shows that the event evaluation data obtained by the platform is 0.5, 1, and 2.5, respectively, and the event evaluation data 0.5 is displayed in the first target area, and the severity corresponding to the event evaluation data is 1 Level, the event evaluation data 1 is displayed in the second target area, the severity corresponding to the event evaluation data is 2, and the time evaluation data 2.5 is displayed in the third target area, and the severity corresponding to the event evaluation data is 3 level.
  • the event evaluation data display platform can also obtain the initial boundary value of the vertical axis direction of the initial region of the severity, and then calculate the adjustment boundary value according to the initial boundary value and the time period in which the event occurs, and the vertical initial boundary according to the adjustment boundary value. The adjustment is made to adjust the severity initial region to obtain the target region, and then the event evaluation data is acquired, and the event evaluation data is displayed in the target region.
  • the initiality area of the severity in the data display map corresponding to the preset severity level is obtained, the initial boundary value of the initial region of the severity is obtained, and the adjustment boundary value is calculated according to the initial boundary value and the time period in which the event occurs, and
  • the initial region of severity in the data display graph is adjusted according to the adjusted boundary value to obtain the target region, and the event evaluation data is displayed in the corresponding target region, and the initial region of the severity in the data display graph is adjusted according to different adjustment boundary values.
  • the event evaluation data with large data volume is displayed in the target area after adjustment, so that the specific situation of the analysis data is convenient and the processing efficiency is improved.
  • a flowchart of a region map display step is provided.
  • the step may be performed after the step of acquiring event evaluation data in step S208 in the embodiment shown in FIG. 2, step S208, ie, Obtaining the event evaluation data, and displaying the event evaluation data in the step of acquiring the event evaluation data in the step of the corresponding target area, the step of displaying the map further includes:
  • the type of the event evaluation data refers to the type of the event that represents the loss of one or more aspects of the work
  • the event evaluation data may be a loss caused by one or more aspects of the work of the business person or the business department in different regions, the event.
  • the evaluation data may be one or more aspects of the work of a business person or a business unit that characterizes different time periods in the same region.
  • the time evaluation data may also be one or more aspects of the work of the business department or business personnel in different organizational structures.
  • the generated loss for example, the event evaluation data type may be regional event evaluation data, the event evaluation data type may be time event evaluation data, and the event evaluation data type may be organizational structure event evaluation data.
  • each of the target areas in the data display map is pre-set with the number of display of the event evaluation data, and when the event evaluation data display platform calculates the event evaluation data in a certain target area exceeds the event evaluation data preset by the target area. When the quantity is displayed, the event evaluation data display platform acquires the type of event evaluation data.
  • the data display map is provided with three target areas, which are respectively a first target area, indicating a severity of 1 level, a second target area, indicating a severity of 2, and a third target area, indicating a severity of 3,
  • the display quantity of the event evaluation data of the preset first target area is 50
  • the display quantity of the event evaluation data of the second target area is 75
  • the display quantity of the preset third target area is 60
  • the event evaluation data display platform calculates
  • the number of event evaluation data of the first target area is 80 pieces
  • the event evaluation data display platform acquires the type of event evaluation data displayed in the data display map.
  • the data display map may be preset to other different numbers of target areas, such as four target areas, five target areas, and the like; the event evaluation data of each target area may be set to be the same.
  • the quantity, such as the number of event evaluation data of the target area can be uniformly set to 10, 12, 30, 65, 85, 100, etc.; the event data processing platform can obtain when the event evaluation data in a certain target area exceeds a preset value.
  • the type of event evaluation data may also be used to obtain the type of event evaluation data when the event evaluation data in some target areas exceeds a preset value, such as event evaluation data in three target areas among the total number of five target areas. When the number of the items exceeds the preset value, the type of the event evaluation data is acquired, and the type of the event evaluation data may be acquired when the event evaluation data in all the target areas exceeds the preset value.
  • the area attribute refers to the nature of each target area in the data display graph, and the area attribute may have different expressions according to the event severity level displayed by the target area.
  • the area attribute may refer to different The color of the area, such as the severity level of 1 is green, the severity is 2, the severity is 3, the severity is 3, the severity is 4, the severity is 5, the severity is 5 Red and so on.
  • the event evaluation data display platform acquires the type of the event evaluation data as the regional event evaluation data
  • the region attribute of the target region where the regional event evaluation data is located in the data display map is acquired, for example, the event evaluation data display platform acquires
  • the type of event evaluation data is regional event evaluation data, such as event evaluation data in Shanghai, event evaluation data in Jiangsu, and event evaluation data in Guangdong
  • the event evaluation data in Shanghai, event evaluation data in Jiangsu, and events in Guangdong are obtained.
  • the regional attribute of the target area in which the evaluation data is located in the data display map for example, the target area of the Shanghai area event evaluation data having a severity of 1 in the data display graph, and the corresponding color of the target area is green, then the target area is The area attribute is green, and the Jiangsu area event evaluation data has a severity level of 2 in the data display.
  • the color of the target area is blue, and the area attribute of the target area is blue.
  • Regional event evaluation data in data display Severity grade of FIG. 3 in the target area, the target area of the color yellow, the target area, an area attribute color is yellow.
  • the event evaluation data display platform acquires the regional event evaluation data, and obtains the corresponding regional map according to the region type indicated by the regional event evaluation data. Further, the event evaluation data display platform obtains the regional event evaluation data in the data display map, and the regional event evaluation data may be nationwide regional event evaluation data, and the regional event evaluation data may be corresponding to each city level in a certain province. Regional event evaluation data, regional event evaluation data may also be county-level regional event evaluation data of a certain city. When it is a nationwide regional event evaluation data, a national map is obtained, which is a city-level region corresponding to a certain province.
  • the regional map of the province is acquired, and when it is the county-level regional event evaluation data of a certain city, the city-level map is acquired.
  • the regional event evaluation data displayed on the data display map is nationwide regional event evaluation data, such as regional event evaluation data of 34 provinces in the country, the event evaluation data display platform acquires a Chinese map.
  • the event evaluation data display platform displays the acquired regional event evaluation data in the area map of the target area in the data display map.
  • the event evaluation data display platform obtains nationwide regional event evaluation data, including event evaluation data in Shaanxi, event evaluation data in Inner Mongolia, and event evaluation data in Guangdong, among which the data of the event evaluation data in Shaanxi shows
  • the area attribute of the target area is blue, and the data of the target area of the Inner Mongolia area is shown in the data.
  • the area attribute of the target area is yellow.
  • the data of the target area of the Guangdong area event evaluation data shows the area attribute of the target area. For the color to be orange, in the map of China, the Shaanxi area is shown in blue, the Inner Mongolia area is shown in yellow, and the Guangdong area is shown in orange.
  • the type of the event evaluation data is acquired, and when the type of the event evaluation data is the regional event evaluation data, the regional event evaluation is obtained.
  • the data is displayed in the area of the target area in the data display map, and then the area map is obtained according to the area type corresponding to the regional event evaluation data, and the area attribute corresponding to the area event evaluation data is displayed in the area map, and the event evaluation data is displayed in the data.
  • the display mode of the event evaluation data is replaced, so that when the amount of event evaluation data is too large, the display can still be visually displayed, thereby facilitating further processing of the data and enhancing applicability.
  • a flowchart of an association step may be performed, which may be performed after step S502 in the embodiment shown in FIG. 5, that is, when the event evaluation data is in the corresponding target.
  • the step of acquiring the type of the event evaluation data is performed, and the associating step further includes:
  • the time event evaluation data refers to data for evaluating the loss caused by an event occurring within a fixed time period
  • the time event evaluation data can be used to evaluate data of the loss caused by an event occurring in a certain period of time in a certain area
  • the time event evaluation data may be data on the loss of events occurring in each month of the 12-month period of Ping An Insurance in Guangdong, or the loss of events occurring in each month in the three months of Ping An Insurance in Guangdong. It can also be the data of the loss incurred by the Ping An Insurance in Guangdong in the total time of 12 months.
  • the type of the event evaluation data acquired by the event evaluation data display platform is the time event evaluation data, the time period corresponding to the event evaluation data is acquired.
  • the event evaluation data shows that the type of event evaluation data acquired by the platform is the time event evaluation data of Ping An Insurance in Guangdong, and the time period corresponding to the time event evaluation data of the Ping An Insurance in the Guangdong area is 12 months.
  • S604 Acquire an area attribute in a target area corresponding to the time event evaluation data.
  • the event evaluation data display platform acquires the type of the event evaluation data as the time event evaluation data
  • the area attribute of the target area where the time event evaluation data is located in the data display map is acquired, for example, the event evaluation data display platform acquires
  • the type of event evaluation data is time event evaluation data, such as the time event evaluation data of the first quarter of 2016 in Ping An Insurance of Guangdong Province, the event evaluation of Ping An Insurance in Guangdong in each month of the first quarter of 2016 is obtained respectively.
  • the area attribute of the target area where the data is displayed in the data display graph such as the target area of the time event evaluation data of the month in the data display graph is 3 levels, and the area attribute corresponding to the target area is yellow, 2
  • the time event evaluation data of the month is the target area of the level 2 in the data display graph, and the area attribute corresponding to the target area is blue, such as the severity of the time event evaluation data in March in the data display graph. It is a target area of level 3, and the area attribute corresponding to the target area is yellow.
  • S606 Generate a trend graph according to the severity level corresponding to the time event evaluation data and the time period.
  • the horizontal coordinate of the trend graph represents time, and the ordinate represents the severity level of the time event evaluation data.
  • the event evaluation data display platform generates a related trend graph according to the acquired time event evaluation data corresponding severity level and the time period corresponding to the time event evaluation data, and the abscissa of the trend graph can represent the time occurrence time.
  • the time in the segment, the ordinate in the trend graph can represent the severity level of the time event evaluation data.
  • the event evaluation data shows that the time event evaluation data obtained by the platform is the 2016 event evaluation data of Ping An Insurance in Guangdong.
  • the severity of the time event evaluation data of Ping An Insurance in Guangdong in January is level 3, February Guangdong
  • the time severity evaluation data of the regional Ping An Insurance has a severity level of 2, and the severity of the time event evaluation data of the Ping An Insurance in Guangdong from March to October is 3, and the time event evaluation data of Ping An Insurance in Guangdong in November
  • the severity level is 2, and the severity of the time event evaluation data of Ping An Insurance in Guangdong in December is 4, according to the severity level of the time event evaluation data of Guangdong Ping An Insurance and the time event of Ping An Insurance in Guangdong.
  • the time period corresponding to the evaluation data is a 12-month generated trend graph, and the ordinate of the trend graph indicates the severity level of the time event evaluation data of Ping An Insurance in Guangdong, and the abscissa of the trend graph indicates 12 months to 1 month. For the interval.
  • the event evaluation data display platform displays the acquired time event evaluation data in the trend map of the target area of the target area in the data display map.
  • the event evaluation data shows that the time event evaluation data obtained by the platform is the 2016 event evaluation data of Ping An Insurance in Guangdong.
  • the severity of the time event evaluation data of Ping An Insurance in Guangdong in January is level 3, and the data is displayed.
  • the area attribute is yellow.
  • the time event evaluation data of Ping An Insurance in Guangdong Province has a severity level of 2
  • the area attribute is blue in the data display, and the insurance in Guangdong from March to October.
  • the time event evaluation data has a severity level of 3, and the area attribute is yellow in the data display.
  • the time event evaluation data of Ping An Insurance in Guangdong has a severity level of 2, in the data display area. The attribute is blue.
  • the time event evaluation data of Ping An Insurance in Guangdong province has a severity level of 4, and in the data display, the area attribute is orange, then in the trend graph, the corresponding time of each month.
  • the event evaluation data is displayed in the indicator in the trend graph according to the corresponding different region attributes, as will be marked in the trend graph.
  • the time event evaluation data in January is displayed in yellow, which will be displayed in the trend graph as blue in the time event evaluation data in February, and the time event evaluation data in February to October will be identified in the trend graph. It is displayed in yellow and will be displayed in the trend graph as blue in the time event evaluation data of November, and will be displayed in the trend graph as orange in the time event evaluation data in December.
  • the type of the event evaluation data is the time event evaluation data
  • the area attribute of the target area in the data display map is acquired, and the severity level corresponding to the time event evaluation data and the time period generation trend are obtained. If the number of times of the time event evaluation data in a certain area of the data display graph exceeds a preset value, the time event evaluation data is replaced with a trend graph display, and the event evaluation data of the time display is displayed by using the trend graph.
  • a flowchart of a step of displaying associated data in an embodiment may be provided.
  • the step of displaying the associated data may be performed after step S208 in the embodiment shown in FIG. 2, step S208.
  • Obtaining the event evaluation data, and executing the step of displaying the event evaluation data in the corresponding target area, the step of displaying the associated data includes:
  • the click operation may be a triggered gesture operation of the user on the display interface of the event evaluation data display platform, such as clicking event evaluation data, which may be sliding around the event evaluation data, or may be evaluated in the event. Click on the short part of the data and wait for two.
  • the event evaluation data display platform detects that there is a user-triggered gesture operation at the event evaluation data displayed in the data display map, that is, when there is a click operation at the event evaluation data point, the event evaluation data with the click operation is acquired.
  • the event evaluation data of the Ping An Insurance in Shanghai in January is in the first target area in the data display map, and the severity level corresponding to the first target area is level 1, when the event evaluation data display platform detects On the display interface, there is a gesture operation triggered by the user in the Shanghai area Ping An Insurance January event evaluation data, that is, the Shanghai area Ping An Insurance January event evaluation data point has a click operation, then the Shanghai area Ping An Insurance January event evaluation data is obtained.
  • the coordinates of the point in the data display diagram for example, the coordinate point in the data display diagram is (20, 3). It should be noted that the coordinates of the coordinate point may be the corresponding coordinates in the data display diagram, or may be the coordinates on the interface of the event evaluation data display platform.
  • S704 Acquire association data corresponding to the coordinates of the point corresponding to the click operation and display the associated data.
  • the associated data refers to information related to the event evaluation data
  • the associated data may be the number of occurrences of each event in the event evaluation data, and the associated data may also be different events appearing in the event evaluation data, for example, the associated data may be personnel In the case of operational error events, the total number of personnel error events is 10, and the associated data may also be external fraud events. The total number of external fraud incidents is 20, etc.
  • the event evaluation data display platform obtains the event evaluation data and has a click operation in the data display diagram, acquiring the event evaluation data of the click operation in the data display map, the coordinates of the click point of the target area in the data display map, and then according to Click the point coordinates to select the associated data corresponding to the coordinates of the click point, and then display the associated data on the display interface of the data processing platform.
  • the event evaluation data of Shanghai Ping An Insurance in January is in the first target area in the data display map, and the severity level corresponding to the first target area is level 1, when the Shanghai area Ping An Insurance is in January.
  • the coordinates of the January 2011 Ping An Insurance event evaluation data point in the data display map are obtained, for example, the coordinate point in the data display graph is (20, 3), and the coordinate point is obtained. (20, 3)
  • the associated data may display the number of personnel operation error events is 10, the number of asset damage events is 15 pieces, and the related data is displayed on the interface of the event evaluation data display platform.
  • the event evaluation data display platform detects that there is a motor operation in the event evaluation data display area of the target area, the coordinates of the click point corresponding to the click operation are acquired, and the associated data corresponding to the click point coordinates is acquired and the associated data is displayed.
  • the data drilling function can be realized on the data display map, and the specific situation of different data can be visually seen to enhance the applicability.
  • Step S208 is a step of acquiring event evaluation data, displaying event evaluation data in a corresponding target area, and further Can include:
  • S802 Acquire a name keyword of an event in a time period, and select, according to the name keyword, a conversion logic corresponding to the name of the event from the matching database.
  • the matching database refers to a database configured on the event evaluation data display platform, and matches the conversion logic of the name of the conversion event stored in the database, and the name of the event can be converted into the converted name according to the conversion logic.
  • the event evaluation data display platform acquires an event for expressing loss in one or more aspects of the work of the business person or the business department in a certain period of time, such as personnel operation error, internal fraud, external fraud, physical asset damage, etc.
  • the event evaluation data shows that the platform will acquire different events. Different events are events that occur in a specific event segment. When different events are acquired, keywords in different event names are extracted, according to the name keyword.
  • the matching logic corresponding to the name is selected in the matching database storing the corresponding conversion logic.
  • the event is an event in the first quarter of 2016 of Ping An Insurance in Shanghai. If there is a personnel operation error, the keyword “person” in the personnel operation error is obtained, and the event evaluation data display platform is based on the name keyword “person”. Select the conversion logic corresponding to the name of the event "Personnel Operation Error" from the matching database configured on it.
  • the event evaluation data display platform selects a conversion logic corresponding to the name of the event from the matching database, and uses the selected conversion logic to convert the name of the event to obtain the converted name according to the selected conversion logic. For example, if the event is an event in the first quarter of 2016 of Ping An Insurance in Shanghai, if there is a personnel operation error, the conversion logic corresponding to the name of the event “Personnel Operation Error” is selected according to the name keyword “person”. The name of the event is converted to "Personnel Error", and the name of the event "Personnel Operation Error” is converted to the converted name "Personnel Error”.
  • the event evaluation data platform pre-sets the name of the corresponding different event, and converts the name of the event in the obtained time period according to the conversion logic selected by the keyword from the matching database to convert the name of the event to be converted.
  • the name matches the converted names one by one with the names of the corresponding different events.
  • the event evaluation data platform pre-sets the names of different events. If there are personnel errors, asset losses, and frauds, the converted names “personnel errors” obtained according to the conversion logic selected in the matching database are respectively Matches the preset event name.
  • the event evaluation data indicates that the preset event names on the platform have different severity levels, and the severity is the severity corresponding to the event represented by the name of the event, and the event evaluation data display platform selects according to the matching database.
  • the conversion logic to the conversion converts the name of the event to the converted name, and matches the converted name with the preset event name. When the converted name matches the preset name successfully, the preset event is The name corresponds to the severity as the severity of the event.
  • the event evaluation data indicates that the event name is “personnel error”, “fraud”, “asset loss”, etc., and the event names have different severity, and the “personnel error” corresponds to a severity of 1 level.
  • the severity of "fraud” corresponds to level 4
  • the severity of "asset loss” corresponds to level 2
  • the severity of the error of the person represented by the name is level 1
  • the severity of fraud occurs to level 4
  • the asset is lost.
  • the conversion logic will be used to convert the converted name "personnel error” to match the preset event name.
  • the severity level 1 corresponding to the preset event name "Personal Error” is used as the severity level of the event personnel who have the converted name "Personal Error", that is, the event of the converted name.
  • the severity level is level 1.
  • S810 Calculate an average of the severity of the events in the time period to obtain event evaluation data.
  • the event evaluation data display platform selects different events in a fixed time period, selects different conversion logics according to keywords from the matching database, and uses corresponding conversion logic to separately convert names of different events to obtain different ones. After the converted name, the different converted names are matched with the names of the preset events one by one. When the matching is successful, the severity corresponding to the preset event names are respectively used as events of different converted names. The severity, that is, the severity of different events, and then the average of the severity of the different events is calculated as the event evaluation data.
  • the names of the incidents are “personnel operation error”, “internal fraud” and “asset destruction”, and the event names of different events are converted according to the conversion logic and converted separately.
  • the converted names “personnel mistakes”, “fraud” and “asset loss” are respectively associated with the preset event names “personnel mistakes” and “fraud”. If the match with "asset loss” is matched, the converted name "personnel error” matches the preset event name "personnel error” successfully, and the "personnel error” corresponds to the severity of level 1, and the event of the operator's operation error occurs.
  • the severity is 1 level. Similarly, the severity of “fraud” is 4, and the severity of “asset loss” is 3, that is, the severity of the fraud event is 4, and the asset problem occurs.
  • the severity is 3, and the average severity of these three events is averaged 3.3.
  • the average is taken as the January 2016 of Ping An Insurance in Shanghai.
  • the event evaluation data is 3.3. It should be noted that the average value can also be calculated by setting the weight of different events, calculating the weighted average of different events, and using the weighted average as the event evaluation data.
  • the corresponding conversion logic is selected from the matching database, and the name of the event is converted according to the conversion logic, and the event conversion logic is uniformly stored in the matching database, without according to each event.
  • the names are written by the code to be converted, the applicability is improved, and the converted name is obtained according to the corresponding conversion logic conversion name, and the converted name is respectively matched with the preset name, and the converted name and the preset event name are used.
  • the matching is successful, the severity corresponding to the preset event name is taken as the severity of the event, and the average value of the severity of the event in the calculation period is obtained as event evaluation data, and all events occurring in the time period are considered, and the event is calculated.
  • the evaluation data is accurate.
  • a flowchart of a prompt information output step may be provided.
  • the prompt information output step may be performed after step S208 in the embodiment shown in FIG. 2, and step S208 is to obtain event evaluation data.
  • the information outputting step may include:
  • S902 When receiving the display instruction for displaying the event evaluation data within the preset time period, querying whether there is event evaluation data corresponding to the preset time period.
  • the event evaluation data display platform when the event evaluation data display platform receives the display instruction of the event evaluation data in the preset time period in the display data display map, the event evaluation data display platform queries the event evaluation data corresponding to the preset time period.
  • the event evaluation data display platform has corresponding options.
  • the user selects the preset time period of the event evaluation data to be displayed according to the option, when the selection is completed, the corresponding display instruction is generated according to the user's option, and the display is The instruction indicates that the event evaluation data in the preset time period is displayed, and the event evaluation data corresponding to the preset time end indicated in the display instruction is queried.
  • the event evaluation data display platform has corresponding options, and can select to view one month of event evaluation data, one quarter of event evaluation data, half year of event evaluation data, or one year of event evaluation data, and the user selects a desired display according to an option.
  • the preset time period of the event evaluation data such as selecting the event evaluation data for half a year, when the selection is completed, generating a corresponding display execution according to the user's option, the display instruction indicating that the event evaluation data for half a year is displayed, and then the event evaluation data
  • the display platform queries whether there is event evaluation data of half a year according to the generated display instruction.
  • the event evaluation data display platform queries the event evaluation data in the preset time period according to the display instruction
  • the event evaluation data is not queried
  • the error prompt information is output on the interface of the event evaluation data display platform.
  • the event evaluation data display platform displays the event evaluation data for half a year according to the display instruction
  • the event evaluation data for half a year is queried.
  • the event evaluation data has only one quarter, the event evaluation data of less than half a year is queried, that is, the query data is not queried.
  • the event evaluation data outputs an error message on the interface of the event evaluation number processing platform.
  • the data in the selection display period does not include the complete half year, and cannot be output, please select the display time period again.
  • the event evaluation data display platform can generate a display instruction according to the user's selection, and then query the event evaluation data of the corresponding time period according to the display instruction, and support the user to select a time period to be viewed, and visually display, which is convenient and convenient to use, when not When the event evaluation data is queried, an error message is output, which further supports the user's further operation and enhances the applicability.
  • steps in the flowcharts of FIG. 2 and FIGS. 5 to 9 are sequentially displayed in accordance with the indication of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Except as explicitly stated herein, the execution of these steps is not strictly limited, and the steps may be performed in other orders. Moreover, at least some of the steps in FIG. 2 and FIGS. 5 to 9 may include a plurality of sub-steps or stages, which are not necessarily performed at the same time, but may be executed at different times. The order of execution of the sub-steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of the other steps or other steps.
  • the event evaluation data display apparatus 100 includes:
  • the obtaining module 110 is configured to acquire an initiality area of the severity in the data display map corresponding to the preset severity level.
  • the calculation module 120 is configured to obtain an initial boundary value of the initial region of the severity, and calculate an adjustment boundary value according to the initial boundary value and the time period in which the event occurs.
  • the adjusting module 130 is configured to adjust the initial region of the severity in the data display map according to the adjusted boundary value to obtain the target region.
  • the display module 140 is configured to acquire event evaluation data, and display event evaluation data in a corresponding target area.
  • the event evaluation data display apparatus 100 may further include:
  • the type obtaining module is configured to acquire the type of the event evaluation data when the number of the event evaluation data in the corresponding target area exceeds a preset value.
  • the area attribute obtaining module is configured to acquire the area attribute of the target area corresponding to the area event evaluation data when the type of the event evaluation data is the regional event evaluation data.
  • a regional map acquisition module is configured to acquire a regional map corresponding to the regional event evaluation data.
  • the area map display module is configured to display the acquired area attribute correspondingly in the area map.
  • the event evaluation data display apparatus 100 may further include:
  • the time period obtaining module is configured to acquire a time period corresponding to the time event evaluation data when the type of the event evaluation data is time event evaluation data.
  • the attribute obtaining module is configured to acquire the area attribute in the target area corresponding to the time event evaluation data.
  • the trend graph generating module is configured to generate a trend graph according to the severity level corresponding to the time event evaluation data and the time period.
  • the abscissa of the trend graph represents time, and the ordinate represents the severity level of the time event evaluation data.
  • the attribute display module is configured to display the acquired area attribute correspondingly in the trend graph.
  • the event evaluation data display device 100 may further include.
  • the coordinate acquisition module is configured to acquire coordinates of a point corresponding to the click operation when detecting that there is a click operation at the event evaluation data display of the target area.
  • the associated data display module is configured to acquire associated data corresponding to the coordinates of the point corresponding to the click operation and display the associated data.
  • the display module 140 may further include:
  • the conversion logic acquiring unit is configured to acquire a name keyword of the event in the time period, and select a conversion logic corresponding to the name of the event from the matching database according to the name keyword.
  • the name obtaining unit is configured to obtain the converted name according to the corresponding conversion logic conversion name.
  • Matching unit which is used to match the converted name with the preset event name.
  • the severity selection unit is configured to use the severity corresponding to the preset event name as the severity of the event when the converted name matches the preset event name.
  • the event evaluation data acquiring unit is configured to calculate an average value of the severity of the event in the time period to obtain event evaluation data.
  • the event evaluation data display apparatus 100 may further include:
  • the query module is configured to: when receiving the display instruction for displaying the event evaluation data within the preset time period, query whether there is event evaluation data corresponding to the preset time period.
  • the error prompt information output module is configured to output an error prompt message when the event evaluation data is not queried.
  • Each of the above-described event evaluation data display devices may be implemented in whole or in part by software, hardware, and combinations thereof.
  • Each of the above modules may be embedded in or independent of the processor in the computer device, or may be stored in a memory in the computer device in a software form, so that the processor invokes the operations corresponding to the above modules.
  • the processor can be a central processing unit (CPU), a microprocessor, a microcontroller, or the like.
  • the above event evaluation data display device can be implemented in the form of a computer readable instruction that can be run on an event evaluation data display platform as shown in FIG.
  • the embodiment of the present application provides a computer device, which may be a server, and an internal structure diagram thereof may be as shown in FIG. 4 .
  • the computer device includes a processor, memory, network interface, and database connected by a system bus.
  • the processor of the computer device is used to provide computing and control capabilities.
  • the memory of the computer device includes a non-volatile storage medium, an internal memory.
  • the non-volatile storage medium stores an operating system, computer readable instructions, and a database.
  • the internal memory provides an environment for operation of an operating system and computer readable instructions in a non-volatile storage medium.
  • the database of the computer device is used to store event evaluation data display data.
  • the network interface of the computer device is used to communicate with an external terminal via a network connection.
  • the computer readable instructions are executed by the processor to implement an event evaluation data display method.
  • FIG. 4 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation of the computer device to which the solution of the present application is applied.
  • the specific computer device may It includes more or fewer components than those shown in the figures, or some components are combined, or have different component arrangements.
  • the processor executes the computer readable instruction, the following steps are performed: acquiring an initiality area of severity in the data display map corresponding to the preset severity level.
  • the initial boundary value of the initial region of the severity is obtained, and the adjustment boundary value is calculated according to the initial boundary value and the time period in which the event occurs. Adjust the boundary value to adjust the initial area of the severity in the data display graph to get the target area.
  • the event evaluation data is acquired, and the event evaluation data is displayed in the corresponding target area.
  • a non-transitory computer readable storage medium storing computer readable instructions executed by one or more processors, such that The one or more processors perform the step of acquiring an initiality area of severity in the data display map corresponding to the preset severity level.
  • the initial boundary value of the initial region of the severity is obtained, and the adjustment boundary value is calculated according to the initial boundary value and the time period in which the event occurs. Adjust the boundary value to adjust the initial area of the severity in the data display graph to get the target area.
  • the event evaluation data is acquired, and the event evaluation data is displayed in the corresponding target area.
  • Non-volatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory can include random access memory (RAM) or external cache memory.
  • RAM is available in a variety of formats, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronization chain.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • Synchlink DRAM SLDRAM
  • Memory Bus Radbus
  • RDRAM Direct RAM
  • DRAM Direct Memory Bus Dynamic RAM
  • RDRAM Memory Bus Dynamic RAM

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

一种事件评价数据显示方法、装置、计算机设备及存储介质，该方法包括获取与预设严重度等级对应的数据显示图中的严重度初始区域；获取严重度初始区域的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值；根据调整边界值调整数据显示图中的严重度初始区域得到目标区域；获取事件评价数据，将事件评价数据显示在对应的目标区域中。

Description

事件评价数据显示方法、装置、计算机设备及计算机存储介质
本申请要求于2017年11月23日提交中国专利局、申请号为201711180738.0、发明名称为“事件评价数据显示方法、装置、计算机设备及计算机存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及计算机技术领域，特别是涉及一种事件评价数据显示方法、装置、计算机设备及存储介质。
背景技术
随着互联网的发展，各行业都需要对数据进行分析，进而将数据分析的结果进行显示，例如，一些企业会采用事件评价数据对企业内的业务部门或者业务人员的工作相关事项进行统计分析的数据，如企业对业务人员的工作出现失误、业务部门相关的资产的统计分析。
传统地，当分析得到相应的业务人员或业务部门相关工作的事件评价数据后，往往这些数据量庞大，使得用户在依据这些数据分析相应的具体情况时处理不方便，会花费大量的时间与人力。
发明内容
根据本申请的各种实施例，提供一种事件评价数据显示、装置、计算机设备及计算机存储介质，解决了背景技术中所涉及的一个或多个问题。
一种事件评价数据显示方法，所述方法包括：
获取与预设严重度等级对应的数据显示图中的严重度初始区域；
获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；及
获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
一种事件评价数据显示装置，所述装置包括：
获取模块，用于获取与预设严重度等级对应的数据显示图中的严重度初始区域；
计算模块，用于获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
调整模块，用于根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；
显示模块，用于获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
一种计算机设备，包括存储器和处理器，所述存储器存储有计算机可读指令，其特征在于，所述处理器执行所述计算机可读指令时实现以下步骤：
获取与预设严重度等级对应的数据显示图中的严重度初始区域；
获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；及
获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
一个或多个存储有计算机可读指令的非易失性计算机可读存储介质，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行以下步骤：
获取与预设严重度等级对应的数据显示图中的严重度初始区域；
获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；及
获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
本申请的一个或多个实施例的细节在下面的附图和描述中提出。本申请的其它特征和优点将从说明书、附图以及权利要求书变得明显。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为一实施例中事件评价数据显示方法的应用场景图；
图2为一实施例中事件评价数据显示方法的流程图；
图3为一实施例中数据显示图严重度初始区域的示意图；
图4为一实施例中数据显示图严重度目标区域的示意图；
图5为一实施例中地区地图显示步骤的流程图；
图6为一实施例中关联步骤的流程图；
图7为一实施例中关联数据显示步骤的流程图；
图8为图2所示实施例中步骤S208的流程图；
图9为一实施例中提示信息输出步骤的流程图；
图10为一实施例中事件评价数据显示事装置的结构示意图；
图11为一实施例中计算机设备的结构示意图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用于解释本申请，并不用于限定本申请。
在详细说明根据本申请的实施例前，应该注意到的是，所述的实施例主要在于与事件评价数据显示方法、装置、计算机设备及存储介质相关的步骤和装置组件的组合。因此，所述装置组件和方法步骤已经在附图中通过常规符号在适当的位置表示出来了，并且只示出了与理解本申请的实施例有关的细节，以免因对于得益于本申请的本领域普通技术人员而言显而易见的那些细节模糊了本申请的公开内容。
在本文中，诸如左和右，上和下，前和后，第一和第二之类的关系术语仅仅用来区分一个实体或动作与另一个实体或动作，而不一定要求或暗示这种实体或动作之间的任何实际的这种关系或顺序。术语“包括”、“包含”或任何其他变体旨在涵盖非排他性的包含，由此使得包括一系列要素的过程、方法、物品或者设备不仅包含这些要素，而且还包含没有明确列出的其他要素，或者为这种过程、方法、物品或者设备所固有的要素。
请参照图1，图1为一实施例中事件评价数据显示方法的应用场景图，其中包括事件评价数据显示平台和服务器，事件评价数据显示平台可以与服务器实现通信，事件评价数据显示平台可以从服务器获取到与预设严重度等级对应的数据显示图中的严重度初始区域，进而事件评价数据显示平台获取严重度初始区域的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值，根据调整边界值将获取到的数据显示图中的严重度初始区域进行调整，得到目标区域，进而事件评价数据显示平台从服务器获取预先存储的事件评价数据，将事件评价数据显示在对应的目标区域中，进而将显示了事件评价数据的目标区域显示给用户。
请参见图2，在其中一个实施例中，提供一事件评价数据显示方法的流程图，本实施例中以该方法应用到上述图1中的事件评价数据显示平台中来举例说明，该平台上运行有事件评价数据显示程序，通过该事件评价数据显示程序来实施事件评价数据显示。该方法包括如下步骤：
S202：获取与预设严重度等级对应的数据显示图中的严重度初始区域。
具体地，数据显示图是指可以直观显示事件评价数据的图形，数据显示图可以是二维图、地图、饼状图或雷达图等。严重度等级是指可以表征发生的事件的严重程度，发生的事件可以是表现业务人员或业务部门工作一个或多个方面产生损失的事件，严重度等级可以按照事件的严重程度进行预设，严重度等级越高，则事件产生的损失越严重，例如，严重度等级可以预设为1级到5级，当严重度等级为1级时，则表示该事件产生的损失不严重，当严重等级为5级时，则表示该事件产生的损失为严重。严重度初始区域是指在数据显示图中，根据预设的严重度等级，设置与预设严重度等级对应的严重度初始区域，不同的严重度初始区域对应一个严重度等级，严重度初始区域可以采用不同颜色对应不同的严重度等级，严重度初始区域也可以采用不同形状对应不同的严重度等级等，例如，可以将 严重度初始区域分别设置成绿色、蓝色、黄色、橙色和红色，对应预设的严重度等级分别为1级、2级、3级、4级和5级等。
具体地，事件评价数据显示平台从服务器获取到在数据显示图中与预设的严重度等级对应的严重度初始区域。例如，可以参见图3，提供一数据显示图严重度初始区域的示意图，该数据显示图为二维图，该二维图中的横向被分为5格，纵向被分为5格，则总共被分为25格，数据显示图中的25格被分为五个区域，分别为区域S1、区域S2、区域S3、区域S4和区域S5，区域S1对应严重度等级1级，区域S2对应严重度等级2级，区域S3对应严重度等级3级，区域S4对应严重度等级4级，区域S5对应严重度等级5级，其中区域S1所占数据显示图中的第一行第一列、第一行第二列与第二行第一列，区域S2占数据显示图中的第一行第三列、第一行第四列、第二行第二列、第二行第三列、第三行第一列、第三行第二列与第四行第一列，区域S3占数据显示图中的第一行第五列、第二行第四列、第三行第三列、第四行第二列与第五行第一列，区域S4占数据显示图中的第二行第五列、第三行第四列、第三行第五列、第四行第三列、第四行第四列、第五行第二列与第五行第三列，数据显示图中其余部分为区域S5，且区域S1、区域S2、区域S3、区域S4和区域S5也可以分别设置为绿色、蓝色、黄色、橙色和红色。需要说明的是，可以根据预设严重度等级的不同获取不同的严重度初始区域，严重度等级为1级至3级，则获取数据显示图中与预设3个严重度等级对应的区域。
S204：获取严重度初始区域的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值。
具体地，初始边界值是指数据显示图中不同的严重度初始区域的边界位置的值，初始边界值可以为预设的不同的严重度初始区域的边界位置的值，例如，可继续参见图3，第一初始边界为a1，则a1所在的位置的值为第一初始边界值，第二初始边界值a2，则a2所在的位置的值为第二初始边界值等；调整边界值是指将数据显示图中严重度的不同初始区域的边界调整至实际边界位置的值，以调整不同的严重度初始区域的面积；事件发生的时间段是某个时间区间，在该时间区间内，发生有表现业务人员或业务部门工作一个或多个方面产生损失的事件，例如，事件发生的时间段可以是3个月、6个月、9个月或12个月等。进一步地，事件评价数据显示平台获得事件的初始边界值，进而根据事件发生的时间段，计算调整边界值。例如，事件评价数据显示平台获取到严重度的初始区域的初始边界值，如获取到第一初始边界值为3，若横坐标的刻度以100为间隔，则第一初始边界在横坐标为3位置处，根据事件发生的时间段为12个月，则计算第一初始值与时间段的乘积作为调整边界值，则第一初始边界值3与12的乘积为36，则得到第一调整边界值为36，即第一初始边界将被调整至实际位置36处，进而采用相同的方法计算其余的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值，在此不再赘述。需要说明的是，严重度初始区域的初始边界值可以根据实际事件发生情况预设为其他不同的值，例如第一初始边界值可以预设为0.5、1、1.2、5、6.1或10等。
S206：根据调整边界值调整数据显示图中的严重度初始区域得到目标区域。
具体地，事件评价数据显示平台根据计算出的调整边界值，将数据显示图中的严重度初始区域进行调整，得到数据显示图中的严重度的目标区域。进一步地，事件评价处理平台根据计算出的调整边界值，调整数据显示图中的严重度的不同的初始区域的分割边界，从而将严重度初始区域进行调整，进而得到数据显示图中的严重度的目标区域。例如，可参见图4，提供一数据显示图严重度目标区域的示意图。数据显示图中的横坐标刻度以100为间隔，事件评价数据显示平台根据第一调整边界值36，将第一初始边界调整到36的位置处，进而事件评价数据显示平台根据第二调整边界值、第二调整边界值、第三调整边界值与第四调整边界值分别将第二初始边界、第三初始边界与第四初始边界调整为第二实际边界、第三实际边界与第四实际边界，进而数据显示图中的严重度第一初始区域S1、第二初始区域S2、第三初始区域S3、第四初始区域S4与第五初始区域S5被调整到第一目标区域S11、第二目标区域S12、第三目标区域S13、第四目标区域S14和第五目标区域S15。
S208：获取事件评价数据，将事件评价数据显示在对应的目标区域中。
具体地，事件评价数据是指用于表现业务人员或业务部门工作一个或多个方面产生损失的数据，事件评价数据可以表征发生的事件产生损失的严重度，例如，事件评价数据可以是评价某一地区发生的事件产生的损失，也可以是评价特定地区某个时间段内发生的时间产生的损失，如，可以评价上海地区平安保险的人员操作失误的数据、发生内部欺诈的数据或实物资产损坏的数据等，即事件评价数据可以表征发生人员操作失误的严重度、内部欺诈的严重度或实物资产损坏的严重度等，也可以是综合评价上海地区平安保险的所有事件的损失；事件评级数据也可以评价上海地区平安保险在半年内发生事件的损失，进而表征发生的事件的严重度。如，设置严重度为1级至3级，事件评价数据大于等于0，小于1时，则认为表征发生的事件产生损失的严重度为1级，当事件评价数据大于等于1，小于2时，则认为表征发生的事件产生损失的严重度为2级，当事件评价数据大于等于2，小于3时，则认为表征发生的事件产生损失的严重度为3级。
具体地，事件评价数据显示平台从服务器获取的预先存储的事件评价数据，进而将事件评价数据显示在数据显示图中对应的目标区域中。例如，数据显示图中的严重度的目标区域有3个目标区域，分别为第一目标区域，表示严重度为1级、第二目标区域，表示严重度为2级与第三目标区域，表示严重度为3级，事件评价数据显示平台获取到的事件评价数据分别为0.5、1、2.5，则将事件评价数据0.5显示在第一目标区域中，表征该事件评价数据对应的严重度为1级，事件评价数据1显示在第二目标区域中，表征该事件评价数据对应的严重度为2级，时间评价数据2.5显示在第三目标区域中，表征该事件评价数据对应的严重度为3级。
需要说明的是，事件评价数据显示平台还可以获取严重度初始区域纵轴方向的初始边界值，进而根据初始边界值与事件发生的时间段计算调整边界值，根据调整边界值将纵向 的初始边界进行调整，从而调整严重度初始区域得到目标区域，进而获取到事件评价数据，将事件评价数据显示在目标区域中。
本实施例中，获取与预设严重度等级对应的数据显示图中的严重度初始区域，获取严重度初始区域的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值，将数据显示图中的严重度初始区域按调整边界值进行调整得到目标区域，将事件评价数据显示在对应的目标区域中，将数据显示图中的严重度的初始区域按照不同的调整边界值进行调整，使得根据不同情况表征不同的事件评价数据更加直观准确，进而将数据量庞大的事件评价数据显示在经过调整得到目标区域中，使得分析数据相应的具体情况方便，提高处理效率。
在其中一个实施例中，请参见图5，提供一地区地图显示步骤的流程图，该步骤可以在图2所示实施例中步骤S208的获取事件评价数据的步骤之后执行，步骤S208，即在获取事件评价数据，将事件评价数据显示在对应的目标区域中的步骤中的获取事件评价数据的步骤之后执行，该地图显示的步骤还包括：
S502：当事件评价数据在对应的目标区域中的数量超过预设值时，则获取事件评价数据的类型。
具体地，事件评价数据的类型是指表现工作中一个或多个方面产生损失的事件的种类，事件评价数据可以是表征不同地区的业务人员或业务部门工作一个或多个方面产生的损失，事件评价数据可以是表征同一地区不同时间段的业务人员或业务部门工作一个或多个方面产生的损失，时间评价数据也可以是不同的组织架构中的业务部门或业务人员工作中一个或多个方面产生的损失，例如，事件评价数据类型可以是地区事件评价数据，事件评价数据类型可以是时间事件评价数据，事件评价数据类型可以是组织架构事件评价数据。
进一步地，数据显示图中每一个目标区域中都预设有事件评价数据的显示数量，当事件评价数据显示平台计算某一个目标区域中的事件评价数据超过该目标区域预设的事件评价数据的显示数量时，则事件评价数据显示平台获取事件评价数据的类型。例如，数据显示图中设置有三个目标区域，分别为第一目标区域，表示严重度为1级，第二目标区域，表示严重度为2级，第三目标区域，表示严重度为3级，预设第一目标区域的事件评价数据的显示数量为50，第二目标区域的事件评价数据的显示数量为75，预设第三目标区域的显示数量为60，当事件评价数据显示平台计算到第一目标区域的事件评价数据的数量为80件时，则事件评价数据显示平台获取显示在数据显示图中的事件评价数据的类型。需要说明的是，数据显示图中可以根据预设为其他不同数量的目标区域，如预设为四个目标区域，五个目标区域等；每个目标区域的事件评价数据可以设定为相同的数量，如目标区域的事件评价数据的数量可以统一设置为10、12、30、65、85、100等；事件数据处理平台可以在某一个目标区域中的事件评价数据超过预设值时，获取事件评价数据的类型，也可以在某些目标区域中的事件评价数据超过预设值时，获取事件评价数据的类型，如当 总数为五个的目标区域中有三个目标区域中的事件评价数据的数量超过预设值时，获取事件评价数据的类型，也可以在所有目标区域中的事件评价数据超过预设值时，获取事件评价数据的类型。
S504：当事件评价数据的类型为地区事件评价数据时，则获取地区事件评价数据对应的目标区域的区域属性。
具体地，区域属性是指数据显示图中各目标区域的性质，区域属性可以根据该目标区域显示的事件严重度等级有不同的表现形式，例如，在二维图中，区域属性可以是指不同的区域颜色，如严重度等级为1级的是绿色，严重度为2级的是蓝色，严重度为3级的是黄色，严重度为4级的为橙色，严重度为5级的是红色等。
进一步地，事件评价数据显示平台获取到事件评价数据的类型为地区事件评价数据时，则获取地区事件评价数据在数据显示图中所在的目标区域的区域属性，例如，事件评价数据显示平台获取到事件评价数据的类型为地区事件评价数据时，如上海地区事件评价数据、江苏地区事件评价数据和广东地区事件评价数据等，则分别获取上海地区事件评价数据、江苏地区事件评价数据，广东地区事件评价数据在数据显示图中所在的目标区域的区域属性，如上海地区事件评价数据在数据显示图中的严重度为1级的目标区域，该目标区域对应的颜色为绿色，则该目标区域的区域属性为颜色是绿色，江苏地区事件评价数据在数据显示图中的严重度为2级的目标区域，该目标区域的颜色为蓝色，则该目标区域的区域属性是颜色为蓝色，广东地区事件评价数据在数据显示图中的严重度为3级的目标区域，该目标区域的颜色为黄色，则该目标区域的区域属性是颜色为黄色。
S506：获取与地区事件评价数据对应的地区地图。
具体地，事件评价数据显示平台获取到地区事件评价数据，则根据地区事件评价数据表示的地区类型，获取对应的地区地图。进一步地，事件评价数据显示平台获取到数据显示图中的地区事件评价数据，该地区事件评价数据可以为全国范围的地区事件评价数据，地区事件评价数据可以是某省中对应的各市级的地区事件评价数据，地区事件评价数据也可以是某市的县级的地区事件评价数据，当是全国范围的地区事件评价数据时，则获取国家地图，当是某省对应的各市级的地区事件评价数据时，则获取该省的地区地图，当是某市的县级的地区事件评价数据时，则获取该市级地图。例如，当数据显示图上显示的地区事件评价数据为全国范围的地区事件评价数据时，如全国34个省的地区事件评价数据时，则事件评价数据显示平台获取中国地图。
S508：将所获取的区域属性对应显示在地区地图中。
具体地，事件评价数据显示平台将获取到的地区事件评价数据在数据显示图中所在的目标区域的区域属性显示在地区地图中。例如，事件评价数据显示平台获取到全国范围的地区事件评价数据，包括陕西地区事件评价数据、内蒙古地区事件评价数据和广东地区事件评价数据等，其中陕西地区事件评价数据所在的数据显示图中的目标区域的区域属性为颜色是蓝色，内蒙古地区事件评价数据所在的数据显示图中的目标区域的区域属性为颜色 是黄色，广东地区事件评价数据所在的数据显示图中的目标区域的区域属性为颜色是橙色，则在中国地图中，将陕西地区显示为蓝色，将内蒙古地区显示为黄色，将广东地区显示为橙色。
本实施例中，当数据显示图中目标区域中的事件评价数据的数量超过预设值时，则获取事件评价数据的类型，当事件评价数据的类型为地区事件评价数据时，获取地区事件评价数据在数据显示图中目标区域的区域属性，进而根据地区事件评价数据对应地区类型，获取地区地图，将地区事件评价数据对应内的区域属性显示在地区地图中，当事件评价数据的在数据显示图中的某一区域的显示数量超过预设值时，则更换事件评价数据的显示方式，使得当事件评价数据的数量量过多时，仍能直观显示，方便进一步对数据进行处理，增强适用性。
在其中一个实施例中，可参见图6，提供一关联步骤的流程图，该关联步骤可在图5所示实施例中的步骤S502之后执行，步骤S502，即当事件评价数据在对应的目标区域中的数量超过预设值时，则获取事件评价数据的类型的步骤之后执行，该关联步骤还包括：
S602：当事件评价数据的类型为时间事件评价数据时，则获取与时间事件评价数据对应的时间段。
具体地，时间事件评价数据是指用于评价在固定时间段内发生的事件产生的损失的数据，时间事件评价数据可以用于评价某地区在固定时间段内发生的事件产生的损失的数据，例如，时间事件评价数据可以是广东地区的平安保险在12个月中每个月发生的事件产生损失的数据、或广东地区的平安保险在3个月中每个月发生的事件产生损失的数据，也可以是广东地区的平安保险在12个月中总共发生的时间产生损失的数据等。进一步地，事件评价数据显示平台获取到的事件评价数据的类型为时间事件评价数据时，则获取该事件评价数据对应的时间段。例如，事件评价数据显示平台获取到的事件评价数据的类型为广东地区平安保险的时间事件评价数据，则获取该广东地区平安保险的时间事件评价数据对应的时间段为12个月。
S604：获取时间事件评价数据对应的目标区域中的区域属性。
具体地，事件评价数据显示平台获取到事件评价数据的类型为时间事件评价数据时，则获取时间事件评价数据在数据显示图中所在的目标区域的区域属性，例如，事件评价数据显示平台获取到事件评价数据的类型为时间事件评价数据时，如广东地区平安保险的2016年第一季度的时间事件评价数据时，则分别获取2016年第一季度的每个月的广东地区平安保险的事件评价数据在数据显示图中所在的目标区域的区域属性，如1月的时间事件评价数据在数据显示图中的严重度为3级的目标区域，该目标区域对应的区域属性为颜色是黄色，2月的时间事件评价数据在数据显示图中的严重度为2级的目标区域，该目标区域对应的区域属性为颜色是蓝色，如3月的时间事件评价数据在数据显示图中的严重度为3级的目标区域，该目标区域对应的区域属性为颜色是黄色。
S606：根据时间事件评价数据对应的严重度等级以及时间段生成趋势图，趋势图的横 坐标表示时间，纵坐标表示时间事件评价数据的严重度等级。
具体地，事件评价数据显示平台根据获取到的时间事件评价数据对应严重度等级以及该时间事件评价数据对应的时间段，生成相关的趋势图，该趋势图的横坐标即可表示时间发生的时间段中的时间，趋势图中的纵坐标即可表示时间事件评价数据的严重度等级。例如，事件评价数据显示平台获取到的时间事件评价数据为广东地区平安保险的2016年的事件评价数据，如1月广东地区平安保险的时间事件评价数据的严重度等级为3级，2月广东地区平安保险的时间事件评价数据的严重度等级为2级，3月到10月广东地区平安保险的时间事件评价数据的严重度等级为3级，11月广东地区平安保险的时间事件评价数据的严重度等级为2级，12月广东地区平安保险的时间事件评价数据的严重度等级为4级，则根据广东地区平安保险的时间事件评价数据对应的严重度等级以及广东地区平安保险的时间事件评价数据对应的时间段为12个月生成趋势图，该趋势图的纵坐标表示广东地区平安保险的时间事件评价数据的严重度等级，该趋势图的横坐标表示12个月，以1个月为间隔。
S608：将获取到的区域属性对应显示在趋势图中。
具体地，事件评价数据显示平台将获取到的时间事件评价数据在数据显示图中所在的目标区域的区域属性显示在趋势图中。例如，事件评价数据显示平台获取到的时间事件评价数据为广东地区平安保险的2016年的事件评价数据，如1月广东地区平安保险的时间事件评价数据的严重度等级为3级，在数据显示图中区域属性是颜色为黄色，2月广东地区平安保险的时间事件评价数据的严重度等级为2级，在数据显示图中区域属性是颜色为蓝色，3月到10月广东地区平安保险的时间事件评价数据的严重度等级为3级，在数据显示图中区域属性是颜色为黄色，11月广东地区平安保险的时间事件评价数据的严重度等级为2级，在数据显示图中区域属性是颜色为蓝色，12月广东地区平安保险的时间事件评价数据的严重度等级为4级，在数据显示图中区域属性是颜色为橙色，则在趋势图中，将每个月份对应时间事件评价数据在趋势图中标识处根据对应的不同的区域属性进行显示，如将在趋势图中标识在1月的时间事件评价数据处显示为黄色，将在趋势图中标识在2月的时间事件评价数据处显示为蓝色，将在趋势图中标识在2月到10月的时间事件评价数据处显示为黄色，将在趋势图中标识在11月的时间事件评价数据处显示为蓝色，将在趋势图中标识在12月的时间事件评价数据处显示为橙色。
本实施例中，当事件评价数据的类型为时间事件评价数据时，获取时间事件评级数据在数据显示图中目标区域的区域属性，进而根据时间事件评价数据对应的严重度等级以及时间段生成趋势图，当时间事件评价数据的在数据显示图中的某一区域的显示数量超过预设值时，则将该时间事件评价数据更换为趋势图显示，时间显示的事件评价数据采用趋势图显示直观，提高适用性，对数据后续处理方便。
在其中一个实施例中，可参见图7，提供一实施例中关联数据显示的步骤流程图，该关联数据显示的步骤可在图2所示实施例中的步骤S208之后执行，步骤S208，即获取事 件评价数据，将事件评价数据显示在对应的目标区域中的步骤之后执行，该关联数据显示的步骤包括：
S702：当检测到在目标区域的事件评价数据显示处存在点击操作时，则获取点击操作对应的点的坐标。
具体地，点击操作可以是用户在事件评价数据显示平台的显示界面上的触发的手势操作，如可以是单击事件评价数据，可以是在事件评价数据处向四周滑动一下，也可以在事件评价数据处短处点击两下等。进一步地，当事件评价数据显示平台检测到在数据显示图中显示的事件评价数据处有用户触发的手势操作，即该事件评价数据点处有点击操作时，则获取有点击操作的事件评价数据在数据显示图中目标区域的点击点处在数据显示图中的的坐标。例如，在二维图中，上海地区平安保险1月份的事件评价数据在数据显示图中的第一目标区域中，第一目标区域对应的严重度等级为1级，当事件评价数据显示平台检测到在显示界面上有用户在上海地区平安保险1月份事件评价数据处触发的手势操作，即上海地区平安保险1月份事件评价数据点处有点击操作，则获取上海地区平安保险1月份事件评价数据点处在数据显示图中的坐标，例如在数据显示图中的坐标点为(20，3)。需要说明的是，坐标点的坐标可以是数据显示图中对应的坐标，也可以是事件评价数据显示平台的界面上的坐标等。
S704：获取与点击操作对应的点的坐标对应的关联数据并显示关联数据。
具体地，关联数据是指事件评价数据相关的信息，关联数据可以是事件评价数据中每种事件发生的数量，关联数据也可以是事件评价数据中出现的不同事件，例如，关联数据可以是人员操作失误事件，人员操作失误事件发生总量为10件，关联数据也可以是外部欺诈事件，外部欺诈事件发生总量为20件等。当事件评价数据显示平台获取到事件评价数据在数据显示图中有点击操作时，获取有点击操作的事件评价数据在数据显示图中目标区域的点击点处在数据显示图中的坐标，进而根据点击点坐标，选取与该点击点坐标对应的关联数据，进而将关联数据显示在数据处理平台的显示界面上。例如，在二维图中，上海地区平安保险1月份的事件评价数据在数据显示图中的第一目标区域中，第一目标区域对应的严重度等级为1级，当上海地区平安保险1月份事件评价数据点处有点击操作，则获取上海地区平安保险1月份事件评价数据点处在数据显示图中的坐标，例如在数据显示图中的坐标点为(20，3)，获取该坐标点(20，3)对应的关联数据，关联数据可以显示人员操作失误事件的数量为10件、资产损坏事件的数量为15件等，且各关联数据显示在事件评价数据显示平台的界面上。
本实施例中，事件评价数据显示平台检测到目标区域的事件评价数据显示处存在电机操作时，则获取点击操作对应的点击点的坐标，进而获取与点击点坐标对应的关联数据并显示关联数据，在数据显示图上可以实现数据下钻功能，直观看到不同数据的具体情况，增强适用性。
在其中一个实施例中，可参见图8，提供图2所示实施例中步骤S208的流程图，步 骤S208，即获取事件评价数据，将事件评价数据显示在对应的目标区域中的步骤，还可以包括：
S802：获取时间段内的事件的名称关键字，根据名称关键字，从匹配数据库中选取事件的名称对应的转换逻辑。
具体地，匹配数据库是指配置在事件评价数据显示平台上的数据库，匹配数据库中存储有转换事件的名称的转换逻辑，根据转换逻辑可以将事件的名称转换为转换后的名称。进一步地，事件评价数据显示平台获取某个时间段内用于表现业务人员或业务部门工作一个或多个方面产生损失的事件，该事件如人员操作错误、内部欺诈、外部欺诈、实物资产损坏等，事件评价数据显示平台将获取到不同的事件，不同的事件是在某个特定事件段发生的事件，当获取到不同事件时，则提取不同事件名称中的关键字，根据名称关键字，从存储相应的转换逻辑的匹配数据库中选取该名称对应的转换逻辑。例如，事件为上海地区平安保险2016年第一季度的事件，有人员操作错误，则获取到人员操作错误中的关键字“人员”，则根据该名称关键字“人员”，事件评价数据显示平台从配置在其上的匹配数据库中选取事件的名称“人员操作错误”对应的转换逻辑。
S804：根据对应的转换逻辑转换名称得到转换后的名称。
具体地，事件评价数据显示平台从匹配数据库中选取到事件的名称对应的转换逻辑，根据选取到的转换逻辑，采用选取到的转换逻辑将事件的名称进行转换得到转换后的名称。例如，事件为上海地区平安保险2016年第一季度的事件，有人员操作错误，则根据该名称关键字“人员”选取事件的名称“人员操作错误”对应的转换逻辑，该转换逻辑即为将事件的名称转换为“人员失误”，则将事件的名称“人员操作错误”转换为转换后的名称“人员失误”。
S806：将转换后的名称分别与预设的事件名称进行匹配。
具体地，事件评价数据平台预设有相应的不同的事件的名称，将获取到的时间段内的事件的名称根据关键字从匹配数据库中选取的转换逻辑将事件的名称进行转换得到转换后的名称，将转换后的名称分别与预设的相应的不同的事件的名称一一匹配。例如，事件评价数据平台预设有相应的不同的事件的名称，如配置有人员失误、资产损失、欺诈，则将根据匹配数据库中选取到的转换逻辑得到的转换后的名称“人员失误”分别与预设的事件名称进行匹配。
S808：当转换后的名称与预设的事件名称匹配成功时，则将与预设的事件名称对应的严重度作为事件的严重度。
具体地，事件评价数据显示平台上预设的事件名称对应有不同的严重度，该严重度也即是事件的名称表示的事件对应的严重度，事件评价数据显示平台将根据从匹配数据库中选取到的转换逻辑将事件的名称进行转换得到转换后的名称，将转换后的名称与预设的事件名称进行匹配，当转换后的名称与预设的名称匹配成功时，则将预设的事件的名称对应的严重度作为该事件的严重度。例如，事件评价数据显示平台上预设有事件名称为“人员 失误”、“欺诈”、“资产损失”等，且事件名称对应有不同的严重度，“人员失误”对应的严重度为1级，“欺诈”对应的严重度为4级，“资产损失”对应的严重度为2级，名称代表的人员出现的失误的严重度为1级，发生欺诈的严重度为4级，资产出现损失的严重度为2级，则将采用转换逻辑进行转换得到转换后的名称“人员失误”与预设的事件名称进行匹配，当转换后的名称“人员失误”与预设的事件名称“人员失误”匹配成功时，则将预设的事件名称“人员失误”对应的严重度1级作为转换后的名称“人员失误”对应的事件人员出现失误的严重度等级，即转换后的名称的事件的严重度等级为1级。
S810：计算时间段内的事件的严重度的平均值得到事件评价数据。
具体地，事件评价数据显示平台选取固定时间段内的不同事件，将不同的事件根据关键字从匹配数据库中选取相应的转换逻辑，采用相应的转换逻辑将不同事件的名称分别进行转换进而得到不同的转换后的名称，将不同的转换后的名称与预设的事件的名称一一进行匹配，当匹配成功时，则将预设的事件名称对应的严重度分别作为不同的转换后名称的事件的严重度，也即是不同事件的严重度，进而将不同事件的严重度计算平均值，该平均值作为事件评价数据。例如，在上海地区平安保险的2016年1月出现的事件的事件名称为“人员操作错误”、“内部欺诈”以及“资产破坏”，将不同的事件的事件名称根据转换逻辑进行转换，分别转换为“人员失误”、“欺诈”与“资产损失”，进而将转换后的名称“人员失误”、“欺诈”与“资产损失”分别依次与预设的事件名称“人员失误”、“欺诈”与“资产损失”进行匹配，则转换后的名称“人员失误”与预设的事件名称“人员失误”匹配成功，“人员失误”对应的严重度为1级，则人员出现操作失误的事件的严重度为1级，同样的，分别得到“欺诈”的严重度为4级，“资产损失”的严重度为3级，也即出现欺诈的事件的严重度为4级，出现资产问题的事件的严重度为3级，将这三种事件的严重度等级求得平均值为3.3，则将该平均值作为上海地区平安保险的2016年1月的事件评价数据为3.3。需要说明的是，计算平均值还可以采用设置不同事件的权重，计算不同事件的加权平均值，将加权平均值作为事件评价数据。
本实施例中，根据事件的名称的关键字从匹配数据库中选取相应的转换逻辑，根据转换逻辑将事件的名称进行转换，则将事件的转换逻辑统一存储在匹配数据库中，无需根据每一个事件名称都编写代码进行转换，提高适用性，进而根据对应的转换逻辑转换名称得到转换后的名称，将转换后的名称分别与预设的名称进行匹配，当转换后的名称与预设的事件名称匹配成功时，则将与预设的事件名称对应的严重度作为事件的严重度，计算时间段内的事件的严重度的平均值得到事件评价数据，考虑时间段内发生的所有事件，计算事件评价数据准确。
在其中一个实施例中，可参见图9，提供一提示信息输出步骤的流程图，该提示信息输出步骤，可在图2所示实施例中步骤S208之后执行，步骤S208，即获取事件评价数据，将事件评价数据显示在对应的目标区域中的步骤之后执行，该信息输出步骤可以包括：
S902：当接收到显示预设时间段内的事件评价数据的显示指令时，则查询是否存在与 预设时间段对应的事件评价数据。
具体地，事件评价数据显示平台接收到显示数据显示图中预设时间段内的事件评价数据的显示指令时，则事件评价数据显示平台查询与预设时间段内对应的事件评价数据。可以是，事件评价数据显示平台有相应的选项，当用户根据选项，选择所需显示的事件评价数据的预设时间段，当选择完成时，则根据用户的选项生成相应的显示指令，该显示指令表示显示预设时间段内的事件评价数据，则查询与显示指令中表示的预设时间端对应的事件评价数据。例如，事件评价数据显示平台有相应的选项，可以选择查看一个月的事件评价数据、一个季度的事件评价数据、半年的事件评价数据或一年的事件评价数据，用户根据选项，选择所需显示的事件评价数据的预设时间段，如选择查看半年的事件评价数据，当选择完成时，则根据用户的选项生成相应的显示执行，该显示指令表示显示半年的事件评价数据，进而事件评价数据显示平台根据生成的显示指令查询是否存在半年的事件评价数据。
S904：当未查询到事件评价数据时，则输出错误提示信息。
具体地，当事件评价数据显示平台根据显示指令，查询预设时间段内的事件评价数据，当未查询到事件评价数据时，则在事件评价数据显示平台的界面上输出错误提示信息。例如，当事件评价数据显示平台根据显示指令表示的半年的事件评价数据，则查询半年的事件评价数据，当事件评价数据只有一个季度时，则查询不到半年的事件评价数据，即未查询到事件评价数据，则在事件评价数处理平台的界面上输出错误提示信息，如可以输出“选择显示时间段内的数据未包含完整的半年，无法输出，请重新选择显示时间段”等。
本实施例中，事件评价数据显示平台可以根据用户的选择生成显示指令，进而根据显示指令查询对应时间段的事件评价数据，支持用户选择需要查看的时间段，直观显示，使用方便便捷，当未查询到事件评价数据时，则会输出错误提示信息，进而支持用户进一步操作，增强适用性。
应该理解的是，虽然图2以及图5至图9的流程图中的各个步骤按照箭头的指示依次显示，但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，这些步骤可以以其它的顺序执行。而且，图2以及图5至图9中的至少一部分步骤可以包括多个子步骤或者多个阶段，这些子步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，这些子步骤或者阶段的执行顺序也不必然是依次进行，而是可以与其它步骤或者其它步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。
在其中一个实施例中，可参见图10，提供一事件评价数据显示装置的结构示意图，所示事件评价数据显示装置100包括：
获取模块110，用于获取与预设严重度等级对应的数据显示图中的严重度初始区域。
计算模块120，用于获取严重度初始区域的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值。
调整模块130，用于根据调整边界值调整数据显示图中的严重度初始区域得到目标区域。
显示模块140，用于获取事件评价数据，将事件评价数据显示在对应的目标区域中。
在其中一个实施例中，事件评价数据显示装置100还可以包括：
类型获取模块，用于当事件评价数据在对应的目标区域中的数量超过预设值时，则获取事件评价数据的类型。
区域属性获取模块，用于当事件评价数据的类型为地区事件评价数据时，则获取地区事件评价数据对应的目标区域的区域属性。
地区地图获取模块，用于获取与地区事件评价数据对应的地区地图。
地区地图显示模块，用于将所获取的区域属性对应显示在地区地图中。
在其中一个实施例中，事件评价数据显示装置100还可以包括：
时间段获取模块，用于当事件评价数据的类型为时间事件评价数据时，则获取与时间事件评价数据对应的时间段。
属性获取模块，用于获取时间事件评价数据对应的目标区域中的区域属性。
趋势图生成模块，用于根据时间事件评价数据对应的严重度等级以及时间段生成趋势图，趋势图的横坐标表示时间，纵坐标表示时间事件评价数据的严重度等级。
属性显示模块，用于将获取到的区域属性对应显示在趋势图中。
在其中一个实施例中，事件评价数据显示装置100还可以包括。
坐标获取模块，用于当检测到在目标区域的事件评价数据显示处存在点击操作时，则获取点击操作对应的点的坐标。
关联数据显示模块，用于获取与点击操作对应的点的坐标对应的关联数据并显示关联数据。
在其中一个实施例中，显示模块140还可以包括：
转换逻辑获取单元，用于获取时间段内的事件的名称关键字，根据名称关键字，从匹配数据库中选取事件的名称对应的转换逻辑。
名称获取单元，用于根据对应的转换逻辑转换名称得到转换后的名称。
匹配单元，用于将转换后的名称分别与预设的事件名称进行匹配。
严重度选取单元，用于当转换后的名称与预设的事件名称匹配成功时，则将与预设的事件名称对应的严重度作为事件的严重度。
事件评价数据获取单元，用于计算时间段内的事件的严重度的平均值得到事件评价数据。
在其中一个实施例中，事件评价数据显示装置100还可以包括：
查询模块，用于当接收到显示预设时间段内的事件评价数据的显示指令时，则查询是否存在与预设时间段对应的事件评价数据。
错误提示信息输出模块，用于当未查询到事件评价数据时，则输出错误提示信息。
上述关于事件评价数据显示装置的具体限定可以参见上文中关于事件评价数据显示方法的限定，在此不再赘述。上述事件评价数据显示装置中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中，也可以以软件形式存储于计算机设备中的存储器中，以便于处理器调用执行以上各个模块对应的操作。该处理器可以为中央处理单元(CPU)、微处理器、单片机等。上述事件评价数据显示装置可以实现为一种计算机可读指令的形式，计算机可读指令可在如图1所示的事件评价数据显示平台上运行。
本申请实施例提出了一种计算机设备，该计算机设备可以是服务器，其内部结构图可以如图4所示。该计算机设备包括通过系统总线连接的处理器、存储器、网络接口和数据库。其中，该计算机设备的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统、计算机可读指令和数据库。该内存储器为非易失性存储介质中的操作系统和计算机可读指令的运行提供环境。该计算机设备的数据库用于存储事件评价数据显示数据。该计算机设备的网络接口用于与外部的终端通过网络连接通信。该计算机可读指令被处理器执行时以实现一种事件评价数据显示方法。
本领域技术人员可以理解，图4中示出的结构，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的计算机设备的限定，具体的计算机设备可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。其中，处理器执行该计算机可读指令时实现以下步骤：获取与预设严重度等级对应的数据显示图中的严重度初始区域。获取严重度初始区域的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值。根据调整边界值调整数据显示图中的严重度初始区域得到目标区域。获取事件评价数据，将事件评价数据显示在对应的目标区域中。
上述关于计算机设备的具体限定可以参见上文中关于事件评价数据显示方法的限定，在此不再赘述。
在其中一个实施例中，请继续参见图11，提供一种存储有计算机可读指令的非易失性计算机可读存储介质，所述计算机可读指令被一个或多个处理器执行，使得所述一个或多个处理器执行以下步骤：获取与预设严重度等级对应的数据显示图中的严重度初始区域。获取严重度初始区域的初始边界值，根据初始边界值与事件发生的时间段计算调整边界值。根据调整边界值调整数据显示图中的严重度初始区域得到目标区域。获取事件评价数据，将事件评价数据显示在对应的目标区域中。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机可读指令来指令相关的硬件来完成，所述的计算机可读指令可存储于一非易失性计算机可读取存储介质中，该计算机可读指令在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器 (ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。
以上所述实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。
以上所述实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对发明专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请专利的保护范围应以所附权利要求为准。

Claims (20)

  1. 一种事件评价数据显示方法，所述方法包括：
    获取与预设严重度等级对应的数据显示图中的严重度初始区域；
    获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
    根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；及
    获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
  2. 根据权利要求1所述的方法，其特征在于，所述获取事件评价数据的步骤之后，还包括：
    当所述事件评价数据在对应的所述目标区域中的数量超过预设值时，则获取所述事件评价数据的类型；
    当所述事件评价数据的类型为地区事件评价数据时，则获取所述地区事件评价数据对应的所述目标区域的区域属性；
    获取与所述地区事件评价数据对应的地区地图；及
    将所获取的所述区域属性对应显示在所述地区地图中。
  3. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    当所述事件评价数据的类型为时间事件评价数据时，则获取与所述时间事件评价数据对应的时间段；
    获取所述时间事件评价数据对应的所述目标区域中的区域属性；
    根据所述时间事件评价数据对应的严重度等级以及所述时间段生成趋势图，所述趋势图的横坐标表示时间，纵坐标表示所述时间事件评价数据的严重度等级；及
    将所述获取到的所述区域属性对应显示在所述趋势图中。
  4. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    当检测到在所述目标区域的所述事件评价数据显示处存在点击操作时，则获取所述点击操作对应的点的坐标；及
    获取与所述点击操作对应的点的坐标对应的关联数据并显示所述关联数据。
  5. 根据权利要求1所述的方法，其特征在于，所述获取事件评价数据的步骤包括：
    获取所述时间段内的事件的名称关键字，根据所述名称关键字，从所述匹配数据库中选取所述事件的名称对应的转换逻辑；
    根据所述对应的转换逻辑转换所述名称得到转换后的名称；
    将所述转换后的名称分别与预设的事件名称进行匹配；
    当所述转换后的名称与所述预设的事件名称匹配成功时，则将与所述预设的事件名称对应的严重度作为所述事件的严重度；及
    计算所述时间段内的事件的严重度的平均值得到所述事件评价数据。
  6. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    当接收到显示预设时间段内的事件评价数据的显示指令时，则查询是否存在与所述预设时间段对应的事件评价数据；及
    当未查询到事件评价数据时，则输出错误提示信息。
  7. 一种事件评价数据显示装置，其特征在于，所述装置包括：
    获取模块，用于获取与预设严重度等级对应的数据显示图中的严重度初始区域；
    计算模块，用于获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
    调整模块，用于根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；及
    显示模块，用于获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
  8. 根据权利要求7所述的装置，其特征在于，所述装置还包括：
    类型获取模块，用于当所述事件评价数据在对应的所述目标区域中的数量超过预设值时，则获取所述事件评价数据的类型；
    区域属性获取模块，用于当所述事件评价数据的类型为地区事件评价数据时，则获取所述地区事件评价数据对应的所述目标区域的区域属性；
    地区地图获取模块，用于获取与所述地区事件评价数据对应的地区地图；及
    地区地图显示模块，用于将所获取的所述区域属性对应显示在所述地区地图中。
  9. 一种计算机设备，包括存储器和处理器，所述存储器存储有计算机可读指令，其特征在于，所述处理器执行所述计算机可读指令时实现以下步骤：
    获取与预设严重度等级对应的数据显示图中的严重度初始区域；
    获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
    根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；及
    获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
  10. 根据权利要求9所述的计算机设备，其特征在于，所述处理器执行所述计算机可读指令时所实现的所述获取事件评价数据的步骤之后，还包括执行以下步骤：
    当所述事件评价数据在对应的所述目标区域中的数量超过预设值时，则获取所述事件评价数据的类型；
    当所述事件评价数据的类型为地区事件评价数据时，则获取所述地区事件评价数据对应的所述目标区域的区域属性；
    获取与所述地区事件评价数据对应的地区地图；及
    将所获取的所述区域属性对应显示在所述地区地图中。
  11. 根据权利要求10所述的计算机设备，其特征在于，所述处理器执行所述计算机可读指令时还实现以下步骤：
    当所述事件评价数据的类型为时间事件评价数据时，则获取与所述时间事件评价数据对应的时间段；
    获取所述时间事件评价数据对应的所述目标区域中的区域属性；
    根据所述时间事件评价数据对应的严重度等级以及所述时间段生成趋势图，所述趋势图的横坐标表示时间，纵坐标表示所述时间事件评价数据的严重度等级；及
    将所述获取到的所述区域属性对应显示在所述趋势图中。
  12. 根据权利要求9所述的计算机设备，其特征在于，所述处理器执行所述计算机可读指令时还实现以下步骤：
    当检测到在所述目标区域的所述事件评价数据显示处存在点击操作时，则获取所述点击操作对应的点的坐标；及
    获取与所述点击操作对应的点的坐标对应的关联数据并显示所述关联数据。
  13. 根据权利要求9所述的计算机设备，其特征在于，所述处理器执行所述计算机可读指令时所实现的所述获取事件评价数据的步骤，还包括执行以下步骤：获取所述时间段内的事件的名称关键字，根据所述名称关键字，从所述匹配数据库中选取所述事件的名称对应的转换逻辑；
    根据所述对应的转换逻辑转换所述名称得到转换后的名称；
    将所述转换后的名称分别与预设的事件名称进行匹配；
    当所述转换后的名称与所述预设的事件名称匹配成功时，则将与所述预设的事件名称对应的严重度作为所述事件的严重度；及
    计算所述时间段内的事件的严重度的平均值得到所述事件评价数据。
  14. 根据权利要求9所述的计算机设备，其特征在于，所述处理器执行所述计算机可读指令时还实现以下步骤：
    当接收到显示预设时间段内的事件评价数据的显示指令时，则查询是否存在与所述预设时间段对应的事件评价数据；及
    当未查询到事件评价数据时，则输出错误提示信息。
  15. 一个或多个存储有计算机可读指令的非易失性计算机可读存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行以下步骤：
    获取与预设严重度等级对应的数据显示图中的严重度初始区域；
    获取所述严重度初始区域的初始边界值，根据所述初始边界值与事件发生的时间段计算调整边界值；
    根据所述调整边界值调整所述数据显示图中的所述严重度初始区域得到目标区域；及
    获取事件评价数据，将所述事件评价数据显示在对应的所述目标区域中。
  16. 根据权利要求15所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，还使得一个或多个处理器执行所述获取事件评价数据的步骤之后，包括：
    当所述事件评价数据在对应的所述目标区域中的数量超过预设值时，则获取所述事件评价数据的类型；
    当所述事件评价数据的类型为地区事件评价数据时，则获取所述地区事件评价数据对应的所述目标区域的区域属性；
    获取与所述地区事件评价数据对应的地区地图；及
    将所获取的所述区域属性对应显示在所述地区地图中。
  17. 根据权利要求16所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，还使得一个或多个处理器执行：
    当所述事件评价数据的类型为时间事件评价数据时，则获取与所述时间事件评价数据对应的时间段；
    获取所述时间事件评价数据对应的所述目标区域中的区域属性；
    根据所述时间事件评价数据对应的严重度等级以及所述时间段生成趋势图，所述趋势图的横坐标表示时间，纵坐标表示所述时间事件评价数据的严重度等级；及
    将所述获取到的所述区域属性对应显示在所述趋势图中。
  18. 根据权利要求15所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，还使得一个或多个处理器执行：
    当检测到在所述目标区域的所述事件评价数据显示处存在点击操作时，则获取所述点击操作对应的点的坐标；及
    获取与所述点击操作对应的点的坐标对应的关联数据并显示所述关联数据。
  19. 根据权利要求15所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，还使得一个或多个处理器执行：
    获取所述时间段内的事件的名称关键字，根据所述名称关键字，从所述匹配数据库中选取所述事件的名称对应的转换逻辑；
    根据所述对应的转换逻辑转换所述名称得到转换后的名称；
    将所述转换后的名称分别与预设的事件名称进行匹配；
    当所述转换后的名称与所述预设的事件名称匹配成功时，则将与所述预设的事件名称对应的严重度作为所述事件的严重度；及
    计算所述时间段内的事件的严重度的平均值得到所述事件评价数据。
  20. 根据权利要求15所述的存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，还使得一个或多个处理器执行
    当接收到显示预设时间段内的事件评价数据的显示指令时，则查询是否存在与所述预设时间段对应的事件评价数据；及
    当未查询到事件评价数据时，则输出错误提示信息。
PCT/CN2018/077066 2017-11-23 2018-02-23 事件评价数据显示方法、装置、计算机设备及计算机存储介质 Ceased WO2019100616A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201711180738.0A CN107958135B (zh) 2017-11-23 2017-11-23 事件评价数据显示方法、装置、计算机设备及存储介质
CN201711180738.0 2017-11-23

Publications (1)

Publication Number Publication Date
WO2019100616A1 true WO2019100616A1 (zh) 2019-05-31

Family

ID=61961906

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/077066 Ceased WO2019100616A1 (zh) 2017-11-23 2018-02-23 事件评价数据显示方法、装置、计算机设备及计算机存储介质

Country Status (2)

Country Link
CN (1) CN107958135B (zh)
WO (1) WO2019100616A1 (zh)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110795554B (zh) * 2019-10-29 2022-07-26 北京字节跳动网络技术有限公司 目标信息分析方法、装置、设备及存储介质
CN111128355B (zh) * 2019-12-20 2024-04-26 创业慧康科技股份有限公司 一种目标事件评估方法及装置
CN111178780A (zh) * 2020-01-03 2020-05-19 远光软件股份有限公司 运维策略的设置方法、装置、存储介质及电子设备

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105404986A (zh) * 2014-09-15 2016-03-16 深圳前海百递网络有限公司 评价数据的获取方法及装置
CN106598988A (zh) * 2015-10-16 2017-04-26 阿里巴巴集团控股有限公司 一种数据处理方法和设备
CN106682415A (zh) * 2016-12-23 2017-05-17 中国科学院深圳先进技术研究院 一种业务数据显示方法及装置

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101311958A (zh) * 2008-06-06 2008-11-26 鹏元征信有限公司 一种信用度查询服务系统中数据信息的查询存储方法
CN101710448B (zh) * 2009-12-29 2011-08-10 浙江工业大学 基于全方位计算机视觉的道路交通状态检测装置
CN101807225A (zh) * 2010-04-07 2010-08-18 杨勤涛 一种稠油油藏数值模拟方法及装置
CN101887547A (zh) * 2010-06-30 2010-11-17 广西电网公司电力科学研究院 输变电设备状态检修及风险评估辅助决策系统
CN102982454B (zh) * 2011-09-06 2016-05-04 阿里巴巴集团控股有限公司 信用值处理方法、信用值处理服务器及物流服务器
JP5764473B2 (ja) * 2011-11-17 2015-08-19 株式会社日立製作所 イベントデータ処理装置
JP5803645B2 (ja) * 2011-12-15 2015-11-04 アイシン・エィ・ダブリュ株式会社 評価表示システム、方法およびプログラム
CN102542841B (zh) * 2012-01-19 2013-09-18 北京紫光百会科技有限公司 一种停车指数计算及发布方法
CN103063808A (zh) * 2012-12-24 2013-04-24 上海交通大学 火灾后建筑损伤评定方法及系统
CN103218836A (zh) * 2013-03-29 2013-07-24 广东威创视讯科技股份有限公司 绘制二维动态数据图的方法与系统
CN104751345B (zh) * 2013-12-27 2018-10-12 中国移动通信集团公司 一种基于位置的数据处理方法以及装置
CN104200075B (zh) * 2014-08-20 2017-11-10 浙江中控软件技术有限公司 应用于工业监控系统中的趋势图的绘制方法和装置
JP2016077790A (ja) * 2014-10-22 2016-05-16 株式会社バンダイナムコエンターテインメント プログラム、コンピュータシステム及びサーバシステム
CN104850335B (zh) * 2015-05-28 2018-01-23 瞬联软件科技（北京）有限公司 基于语音输入的表情曲线生成方法
CN105677863A (zh) * 2016-01-11 2016-06-15 杭州电子科技大学 一种基于百度地图的水流态势显示方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105404986A (zh) * 2014-09-15 2016-03-16 深圳前海百递网络有限公司 评价数据的获取方法及装置
CN106598988A (zh) * 2015-10-16 2017-04-26 阿里巴巴集团控股有限公司 一种数据处理方法和设备
CN106682415A (zh) * 2016-12-23 2017-05-17 中国科学院深圳先进技术研究院 一种业务数据显示方法及装置

Also Published As

Publication number Publication date
CN107958135B (zh) 2020-09-08
CN107958135A (zh) 2018-04-24

Similar Documents

Publication Publication Date Title
US10282360B2 (en) Uniform chart formatting based on semantics in data models
WO2021082922A1 (zh) 一种检测屏幕显示断线的方法及设备
WO2020062702A1 (zh) 短信发送的方法、装置、计算机设备和存储介质
CN113268567A (zh) 多属性文本匹配方法、装置、设备和存储介质
WO2019100616A1 (zh) 事件评价数据显示方法、装置、计算机设备及计算机存储介质
CN111581078B (zh) 一种业务异常定位方法、装置、计算机设备及存储介质
CN114925153A (zh) 基于业务的地理信息数据质量检测方法、装置和设备
WO2020077876A1 (zh) 企业供销关系图谱生成方法、装置和计算机设备
WO2020155814A1 (zh) 维修对象的定损方法及装置、电子设备
WO2020124977A1 (zh) 生产数据处理方法、装置、计算机设备和存储介质
US11182436B2 (en) Predicting locations based on transaction records
CN108369647B (zh) 基于图像的质量控制
CN116894031A (zh) 一种数据质量检测方法、装置、计算机设备
CN116451074A (zh) 目标对象的画像生成方法、装置、计算机设备、存储介质
CN113961672B (zh) 信息标注方法、装置、电子设备和存储介质
CN107369093B (zh) 一种业务确定方法和装置
CN116860865B (zh) 数据准确性检测方法、装置、设备、存储介质和程序产品
WO2018228001A1 (zh) 电子装置、信息查询控制方法和计算机可读存储介质
WO2019019753A1 (zh) 提供健康报告的判断方法、装置、计算机设备和存储介质
CN119578705A (zh) 产品质量追溯处理方法、装置、设备及存储介质
CN114359678A (zh) 数据标注方法和装置
CN114757767A (zh) 一种关联企业的识别方法、装置、电子设备及存储介质
CN109993449A (zh) 试验室设备管理方法、bim可视化平台、设备及介质
CN116777477A (zh) 一种用户资产溯源方法、智能终端及存储介质
CN115719220A (zh) 故障处理方法、装置、计算机设备及其存储介质

Legal Events

Date Code Title Description
NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 02/10/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 18881439

Country of ref document: EP

Kind code of ref document: A1