A method and system for element management based on map data fusion

Abstract

The present application is applicable to the field of element management technology, and in particular relates to an element management method and system based on map data fusion, the method comprising: in the case of obtaining an element update instruction, if the element management device mapped by the target data source is in a preset mode, recording management data; after completing the operation of recording management data, starting a timer, and when the accumulated duration of the timer reaches a target value, sending a data acquisition instruction to the element management device; obtaining result data sent by the element management device; wherein the result data is used to reflect the map element data of the target data source. The element management method based on map data fusion provided by the present application can solve the problem in the traditional element management process of requesting map element data from several sensors or drones within a period of time, resulting in an increase in the frequency of interaction from no interaction to interaction within a period of time, thereby reducing management efficiency.

Description

Technical Field

[0001] The present application belongs to the field of element management technology, and in particular relates to an element management method and system based on map data fusion. Background Art

[0002] With the development of geographic information systems (GIS), smart devices, and the Internet of Things (IoT), the application scenarios of map data are becoming increasingly complex, encompassing diverse areas such as urban management, public safety, and transportation navigation. Feature management refers to the process of effectively organizing, updating, storing, and accessing map features (such as roads, buildings, and public facilities) within GIS or map data management.

[0003] In the traditional feature management process, the administrative control center system requests map feature data collected by sensors or drones from the computing device. At this time, the computing device and the administrative control center system need to change from no interaction to interaction. However, because there are several sensors or drones, the map feature data of several sensors or drones may be requested within a period of time, resulting in an increase in the frequency of changing from no interaction to interaction within a period of time, thereby reducing management efficiency. Summary of the Invention

[0004] The embodiments of the present application provide a feature management method and system based on map data fusion, which can solve the problem in the traditional feature management process that map feature data of several sensors or drones are requested within a period of time, resulting in an increase in the frequency of interaction from no interaction to interaction within a period of time, thereby reducing management efficiency.

[0005] In a first aspect, an embodiment of the present application provides a feature management method based on map data fusion, comprising:

[0006] In the case of obtaining an element update instruction, if the element management device mapped by the target data source is in a preset mode, then recording management data; wherein the element update instruction is used to obtain map element data of the target data source; the management data includes a marker of the target data source; one element management device maps multiple target data sources, and the element management device is capable of fusing data collected by the multiple target data sources; the preset mode is used to reflect that there is no interaction between the element management device and the element management system;

[0007] After completing the operation of recording the management data, a timer is started, and when the accumulated duration of the timer reaches a target value, a data acquisition instruction is sent to the feature management device; wherein the target value is greater than the time value between the moment when the operation of recording the management data is completed and the moment when the next most recent target mode of the feature management device starts; the data acquisition instruction is used to again acquire the map feature data of the target data source, so that the feature management device acquires the map feature data of the target data source; the target mode is used to reflect the existence of interaction between the feature management device and the feature management system;

[0008] Obtain result data sent by the element management device; wherein the result data is used to reflect the map element data of the target data source.

[0009] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0010] The feature management method based on map data fusion provided by the present application, when an feature update instruction is obtained, if the feature management device mapped by the target data source is in the preset mode, the management data is recorded, and then, after completing the operation of recording the management data, the timer is started. When the cumulative duration of the timer reaches the target value, the feature management device is adjusted to the target mode, and a data acquisition instruction is sent to the feature management device, so that the feature management device obtains the corresponding map feature data according to the mark of the target data source, so that the feature management system only obtains the result data sent by the feature management device adjusted to the target mode, thereby avoiding the increase in the frequency of interaction from no interaction to interaction within a period of time, so as to improve management efficiency.

[0011] In a possible implementation of the first aspect, the method further includes:

[0012] When an element update instruction is obtained, if the element management device mapped by the target data source is in the target mode, the data acquisition instruction is sent to the element management device.

[0013] In a possible implementation manner of the first aspect, the management data further includes a time value between the moment when the operation of recording the management data is completed and the moment when the target mode of the next round of the element management device is started.

[0014] In a possible implementation of the first aspect, the method further includes:

[0015] The time value between the moment when the operation of recording the management data is completed and the moment when the next round of the target mode of the element management device starts is set based on the cycle of the preset mode, the cycle of the target mode or the time data sent by the element management device.

[0016] In a possible implementation of the first aspect, the method further includes:

[0017] Obtaining target data sent by the element management device; wherein the target data is used to reflect the time when the element management device is subsequently adjusted to the preset mode;

[0018] Based on the target data, the time required for the factor management device to subsequently adjust to the target mode is adjusted.

[0019] In a possible implementation of the first aspect, after obtaining the result data sent by the factor management device, the method further includes:

[0020] Obtaining map grid information or map element information monitored by the police device corresponding to the police officer;

[0021] If it is determined that the police officer's device is within the target range based on the map grid information or the map element information, then analyzing whether the police officer's patrol index within the target range meets a set index; wherein the patrol index is used to reflect the police officer's patrol situation within the target range; the set index includes obtaining that the map grid information replaced by the police officer's device within a preset time period is map grid information within the target range, and the number of replacements exceeds a preset number;

[0022] When it is analyzed that the patrol index of the police officer within the target range meets the set index, the result data is sent to the police officer's equipment.

[0023] In a possible implementation of the first aspect, the method further includes:

[0024] When it is analyzed that the patrol index of the police officer within the target range does not meet the set index, determining whether there is a target patrol task; wherein the target patrol task is a patrol task within the target range;

[0025] When it is determined that the target patrol mission exists, the result data is sent to the police officer device.

[0026] In a possible implementation of the first aspect, the set indicator also includes that the police officer equipment remains within the target range within a first time period.

[0027] In a possible implementation of the first aspect, the method further includes:

[0028] If it is determined according to the map grid information or the map element information that the police device is within the target range, and the patrol period of the police device within the target range is greater than or equal to the set period, the result data is sent to the police device.

[0029] In a second aspect, an embodiment of the present application provides a feature management device for implementing the feature management method based on map data fusion described in any one of the first aspects above, the device comprising:

[0030] a recording unit configured to record management data upon obtaining an element update instruction and if the element management device mapped to the target data source is in a preset mode; wherein the element update instruction is used to obtain map element data of the target data source; the management data includes an identifier of the target data source; one element management device is mapped to multiple target data sources, and the element management device is capable of fusing data collected by the multiple target data sources; and the preset mode is used to reflect that there is no interaction between the element management device and the element management system;

[0031] a sending unit configured to start a timer after completing the operation of recording the management data, and to send a data acquisition instruction to the feature management device when the accumulated duration of the timer reaches a target value; wherein the target value is greater than the time between the moment when the operation of recording the management data is completed and the moment when the next most recent target mode of the feature management device begins; the data acquisition instruction is configured to again acquire the map feature data of the target data source so that the feature management device acquires the map feature data of the target data source; and the target mode is configured to reflect the existence of interaction between the feature management device and the feature management system.

[0032] An acquiring unit is used to acquire result data sent by the feature management device; wherein the result data is used to reflect the map feature data of the target data source.

[0033] In a third aspect, an embodiment of the present application provides a feature management system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the feature management method based on map data fusion described in any one of the first aspects above is implemented.

[0034] It can be understood that the beneficial effects of the second to third aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0036] Figure 1 This is a flowchart of a feature management method based on map data fusion provided by an embodiment of the present application;

[0037] Figure 2 This is a schematic diagram of an implementation process for determining whether inspection indicators meet set indicators in a feature management method based on map data fusion provided in an embodiment of the present application;

[0038] Figure 3 This is a schematic diagram of the implementation process of sending result data to police officers' equipment in the feature management method based on map data fusion provided in one embodiment of the present application;

[0039] Figure 4 This is a schematic diagram of the structure of the element management device provided in an embodiment of the present application;

[0040] Figure 5 It is a structural diagram of the element management system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0042] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0043] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0044] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if the described condition or event is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of the described condition or event" or "in response to detecting the described condition or event," depending on the context.

[0045] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0046] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0047] In the traditional feature management process, the administrative control center system requests map feature data collected by sensors or drones from the computing device. At this time, the computing device and the administrative control center system need to change from no interaction to interaction. However, because there are several sensors or drones, the map feature data of several sensors or drones may be requested within a period of time, resulting in an increase in the frequency of changing from no interaction to interaction within a period of time, thereby reducing management efficiency.

[0048] For example, a feature management device (e.g., a computing device) can be mapped to multiple target data sources (e.g., sensors or drones), meaning it can obtain map feature data from different target data sources. When a feature management system (e.g., an administrative control center system) wishes to obtain map feature data from a first target data source, it sends a command to the feature management device mapped to the first target data source, resulting in the feature management device receiving the first command. If, over a period of time, map feature data from a second target data source, a third target data source, and a fourth target data source is required to be mapped to multiple target data sources, the feature management device will receive multiple commands.

[0049] In response to these instructions, the element management device will change from the preset mode to the target mode each time. For example, 7:00-7:10 is the target mode, and the map element data corresponding to the first target data source is obtained at 7:09, and it changes to the preset mode after 7:10. However, at this time, the instruction corresponding to the second target data source is obtained, and the element management device immediately changes from the preset mode to the target mode to obtain the map element data corresponding to the second target data source. That is, the element management device has just finished obtaining the map element data corresponding to the target data source and completed the mode change, and it has to change back immediately (for example, from the preset mode to the target mode), resulting in an increase in the frequency of interaction from no interaction to interaction within a period of time.

[0050] To solve the above problems, the embodiments of the present application provide a feature management method and system based on map data fusion.

[0051] In this method, when an element update instruction is obtained, if the element management device mapped by the target data source is in a preset mode, the management data is recorded. Then, after completing the operation of recording the management data, the timer is started. When the cumulative duration of the timer reaches the target value, the element management device is adjusted to the target mode, and a data acquisition instruction is sent to the element management device so that the element management device obtains the corresponding map element data according to the mark of the target data source, so that the element management system only obtains the result data sent by the element management device adjusted to the target mode, thereby avoiding the increase in the frequency of interaction from no interaction to interaction within a period of time, so as to improve management efficiency.

[0052] The feature management method based on map data fusion provided in the embodiment of the present application can be applied to the feature management system. In this case, the feature management system is the execution entity of the feature management method based on map data fusion provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the feature management system.

[0053] For example, the feature management system is a system used to manage map feature data after the feature management device is integrated. For example, it can be an administrative control center system, a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a computer, a laptop computer, a handheld computing device, etc.

[0054] For example, the feature management device is a device for fusing map feature data collected from multiple target data sources, and can be, for example, a single-chip microcomputer, a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a desktop computer, a computing device or a computer connected to a wireless modem, a laptop computer, a handheld communication device, a handheld computing device, etc.

[0055] For example, the target data source is a device used to collect map feature data, such as a sensor, a drone, a lidar of a smart car, an Internet of Things device, a camera, etc.

[0056] For example, a feature management device in a region can fuse the data collected by the target data source in the region. At the same time, when necessary, the feature management system can manage the map feature data after fusion by the feature management device in the region, such as retrieving, updating, and querying.

[0057] For example, the officer device may be a mobile phone, a tablet computer, a handheld communication device, a handheld computing device, etc.

[0058] In order to better understand the feature management method based on map data fusion provided in the embodiment of the present application, the specific implementation process of the feature management method based on map data fusion provided in the embodiment of the present application is exemplarily introduced below.

[0059] Figure 1 A schematic flow chart of a feature management method based on map data fusion provided in an embodiment of the present application is shown. The feature management method based on map data fusion includes:

[0060] S100. When an element update instruction is received, if the element management device mapped to the target data source is in preset mode, management data is recorded. The element update instruction is used to obtain map element data from the target data source. The management data includes the identifier of the target data source. A single element management device may be mapped to multiple target data sources, and the element management device is capable of fusing data collected from multiple target data sources. The preset mode indicates that there is no interaction between the element management device and the element management system.

[0061] It is understood that map element data can be a combination of multiple elements on a map. For example, a single map element can include traffic flow data, building data (e.g., address, property owner), population density data, firefighting facility location maps, and other data. Interaction between the element management device and the element management system can involve data transmission, data exchange, and signal transmission to facilitate management actions such as data retrieval, updating, and querying.

[0062] In summary, when an element update instruction is obtained, if the element management device mapped by the target data source is in the preset mode, it means that the element management device has just finished obtaining the map element data corresponding to the target data source, and it is likely that the mode change has been completed. Therefore, the mark of the target data source can be recorded first.

[0063] With such a setting, when the feature management device maps several target data sources, it is avoided that the feature management device has just finished obtaining the map feature data corresponding to the target data source and completed the mode change, and then has to change back immediately, resulting in an increase in the frequency of interaction from no interaction to interaction within a period of time.

[0064] S200: After completing the data recording and management operation, a timer is started. When the timer reaches a target value, a data acquisition instruction is sent to the feature management device. The target value is greater than the time between the completion of the data recording and management operation and the start of the next most recent target mode of the feature management device. The data acquisition instruction is used to re-acquire map feature data from the target data source, so that the feature management device can obtain the map feature data from the target data source. The target mode is used to reflect the interaction between the feature management device and the feature management system.

[0065] It can be understood that the target value can be set according to the difference between the start time of the next round of the most recent target mode sent by the factor management device and the time when the operation of recording the management data is completed.

[0066] For example, when the feature management device mapped to the target data source is in a preset mode and after completing the operation of recording and managing data, a timer can be used to count. When the preset period is reached, the feature management device has been adjusted to the target mode, that is, the feature management device has just finished obtaining the map feature data corresponding to the target data source, and the possibility of completing the mode change is small, so a data acquisition instruction can be sent to the feature management device.

[0067] Optionally, in scenario 1, when the element management device mapped by the target data source is in the preset mode, if it takes a while to complete the operation of recording management data, then before sending the data acquisition instruction to the element management device, it is possible to determine what mode the element management device mapped by the target data source is in. Because, in scenario 1, if 7:00-7:10 is the preset mode, and the element update instruction is obtained at 7:09, then to complete the operation of recording management data, the time after completing the operation of recording management data is 7:10. At this time, the next round of the most recent target mode start time of the element management device is obtained as 7:40. However, the element management device mapped by the current target data source has just changed to the target mode. If it is not determined again what mode the element management device mapped by the current target data source is, then the timing will start directly. When the accumulated time of the timer reaches the target value, a message will be sent to the element management device. The reason for this in the data acquisition instruction is that: it is not determined again what mode the feature management device mapped by the target data source is in, so it is mistakenly believed that after completing the operation of recording management data, the current feature management device is still in the preset mode (but in fact the feature management device mapped by the current target data source has just become the target mode). Then, based on the mistaken belief that the current feature management device is still in the preset mode, the time value between the moment of completing the operation of recording management data and the start moment of the next round of the most recent target mode is too long, that is, it is necessary to wait for another round (for example, wait for the end of a target mode and the end of a preset mode, that is, the target value at this time includes the value of the target mode duration, the value of the preset mode duration, and the value less than the target mode duration), which will cause delays in obtaining the map feature data of the target data source, resulting in low management efficiency.

[0068] Alternatively, in scenario 1, if 7:00-7:10 is the preset mode and the element update instruction is obtained at 7:09, then the operation of recording and managing the data must be completed at 7:10. At this time, the element management device mapped by the target data source is already in the target mode. Therefore, in order to avoid the problem described in scenario 1, the mode of the element management device mapped by the target data source can be determined again at this time. If it is the target mode, the data acquisition instruction can be sent to the element management device immediately. If it is the preset mode, the timer can be started, and when the accumulated time of the timer reaches the target value, the data acquisition instruction is sent to the element management device.

[0069] For example, the feature management device may determine, based on the marks of the target data sources, which map feature data of the target data sources to acquire and fuse.

[0070] This configuration, on the one hand, prevents the feature management device from having to immediately switch back from non-existent to active interaction after completing a mode change, thus improving management efficiency. On the other hand, it prevents the feature management device from having to wait another round for a mode change without confirming the target data source's mapping mode, thus delaying the acquisition of the target data source's map feature data. This helps improve management efficiency.

[0071] S300: Obtain result data sent by the element management device, wherein the result data is used to reflect the map element data of the target data source.

[0072] It is understandable that the result data may be data combining multiple elements on the map. For example, the result data may include data such as traffic flow, building information, and population density.

[0073] For example, the element management device may send the processed result data to the element management system, for example, through a network interface, a data receiving port, etc.

[0074] Such a setting allows the element management system to only obtain the result data sent by the element management device adjusted to the target mode, thereby avoiding the increase in the frequency of the element management device set to the preset mode changing from no interaction to interaction within a period of time, so as to improve management efficiency.

[0075] In a possible implementation, the feature management method based on map data fusion further includes:

[0076] When an element update instruction is obtained, if the element management device mapped by the target data source is in target mode, a data acquisition instruction is sent to the element management device.

[0077] It can be understood that when an element update instruction is obtained, if the element management device mapped by the target data source is in target mode, it means that the element management device has just finished obtaining the map element data corresponding to the target data source, and the possibility of completing the mode change is small. Therefore, a data acquisition instruction can be sent to the element management device.

[0078] With this arrangement, when an element update instruction is obtained, if the element management device mapped by the target data source is in target mode, directly sending the data acquisition instruction can reduce delays and make the data transmission process more efficient.

[0079] In a possible implementation, the management data further includes a time value between the time when the operation of recording the management data is completed and the time when the next round of the nearest target mode of the factor management device starts.

[0080] It can be understood that the time value between the moment when the operation of recording management data is completed and the start moment of the next round of the nearest target mode can be dynamically set according to the difference between the start moment of the next round of the nearest target mode sent by the element management device and the moment when the operation of recording management data is completed.

[0081] In a possible implementation, the feature management method based on map data fusion further includes:

[0082] The time value between the time when the operation of recording management data is completed and the time when the next round of the nearest target mode of the element management device starts is set based on the cycle of the preset mode, the cycle of the target mode or the time data sent by the element management device.

[0083] It is understood that the period of the preset mode can be 10 minutes, and the period of the target mode can be 10 minutes. For example, 7:00-7:10 is the preset mode, 7:10-7:20 is the target mode, 7:20-7:30 is the preset mode, 7:30-7:40 is the target mode, and so on. It can also be set through the management data sent by the element management device. For example, if the time data indicates that the time value between the moment when the operation of recording management data is completed and the start time of the next round of the nearest target mode is 10 minutes, then the target value can be 10+1=11 minutes, that is, the target value is greater than the time value between the moment when the operation of recording management data is completed and the start time of the next round of the nearest target mode.

[0084] With such a setting, the timing of mode switching can be estimated more accurately based on the cycle of the preset mode, the cycle of the target mode or the data sent by the factor management device, providing data support for subsequent decision-making.

[0085] In a possible implementation, the feature management method based on map data fusion further includes:

[0086] S301: Acquire target data sent by the element management device, wherein the target data is used to reflect the moment when the element management device is subsequently adjusted to the preset mode.

[0087] It is understood that the element management device will record operation logs, including the time of mode switching, events of mode change, etc. By querying and analyzing the logs of the element management device, target data can be extracted.

[0088] This setting can provide data support for subsequent adjustment of time.

[0089] S302, based on the target data, adjusting the time required for the factor management device to adjust to the target mode.

[0090] It is understood that the current time may be determined, and the time required for the factor management device to be adjusted to the target mode may be adjusted by calculating the difference between the current time and the time when the factor management device is adjusted to the preset mode.

[0091] Optionally, if the target data source maps to a feature management device in a preset mode, the time required for the feature management device to subsequently adjust to the target mode can be adjusted by calculating the difference between the current time and the time at which the feature management device subsequently adjusts to the preset mode. If the target data source maps to a feature management device in a target mode, the time required for the feature management device to subsequently adjust to the target mode can be adjusted to zero.

[0092] With such a configuration, the time required for the factor management device to be adjusted to the target mode can be adjusted in real time.

[0093] In a possible implementation, after obtaining the result data sent by the feature management device in step S300, the feature management method based on map data fusion further includes:

[0094] S400: Obtaining map grid information or map element information monitored by the police equipment corresponding to the police officer.

[0095] It is understood that map grid information can be spatial information obtained from the target data source. Map feature information can be information about various geographic objects or elements represented in the map, such as bus stops, roads, buildings, building blocks in 3D maps, and spatial relationships between certain features, such as adjacency, inclusion, and intersection.

[0096] For example, within a space accessible by the target data source, the police officer device may detect an action captured by the target data source within the space accessible by the target data source.

[0097] Such a setting can provide data support for subsequent decision-making.

[0098] At step S500, if the officer's device is determined to be within the target range based on the map grid information or map element information, the officer's patrol indicators within the target range are analyzed to determine whether they meet a set indicator. The patrol indicator reflects the officer's patrol performance within the target range. The set indicator includes obtaining map grid information that is within the target range, and the number of changes exceeds a set number within a preset time period.

[0099] It is understood that the target range can be a range consisting of spaces captured by multiple target data sources. As the officer moves around, the space in which the officer's corresponding police device is located will also change. The corresponding police device may also change from detecting the action captured by one target data source within its accessible space to detecting the action captured by another target data source within its accessible space. In other words, the space captured by one target data source changes to the space captured by another target data source, thus changing the map grid information.

[0100] For example, if the information on various geographic objects or elements represented in the map feature information is consistent with the information on various geographic objects or elements within the target range, then the officer's device is determined to be within the target range. If the motion detected by the target data source within the available space is consistent with the motion detected by the target data source within the target range, then the officer's device is determined to be within the target range.

[0101] In scenario 2, while walking, the police officer passes through part of the target range corresponding to the person involved, or passes through part of the target range corresponding to the fire-fighting facilities. When the police officer's equipment is determined to be within the target range based on the map grid information or map element information, the building data (for example, address, property owner), population density data, and fire-fighting facility location map will be sent to the police officer's equipment to tell the police officer to go to the address of the person involved, or to tell the police officer to check the fire-fighting facilities. However, the police officer just happens to pass through the target range (for example, accidentally passes through the target range, or happens to pass through part of the target range on the way to another target range), and is not going to the address of the person involved, or to check the fire-fighting facilities. As a result, the police officer will obtain data that is irrelevant to the actual patrol behavior, reducing management efficiency.

[0102] In summary, to avoid the issue described in Scenario 2, it is possible to determine if the officer's device is within the target range and then analyze whether the officer's patrol indicators within the target range meet the set indicators. For example, if the officer is traveling to another target range and happens to pass through part of the target range, then the map grid information replaced within the preset time period will not only be map grid information within the target range, but also include map grid information outside the target range, and the number of map grid information replaced (i.e., the number of map grid information replaced is the number of map grid information within the target range) will not exceed the preset number (e.g., 10, 11, 12, etc.). For another example, if the officer is traveling to the target range and passes through the target range, then the map grid information replaced within the preset time period will only be map grid information within the target range, and the number of map grid information replaced (i.e., the number of map grid information replaced is the number of map grid information within the target range) will also exceed the preset number.

[0103] With this setting, the police officer only needs to pass through part of the target range instead of purposefully entering the target range for patrol. By setting appropriate indicators, it can prevent the police officer's equipment from obtaining data irrelevant to the actual patrol behavior, which helps to improve management efficiency.

[0104] S600, when it is analyzed that the patrol index of the police officer within the target range meets the set index, the result data is sent to the police officer's equipment.

[0105] It can be understood that when it is analyzed that the patrol indicators of the police officer in the target range meet the set indicators, it means that the police officer is not on the way to another target range and just happens to pass through part of the target range, that is, the probability of going to the target range is very high, then the result data can be sent to the police officer's equipment.

[0106] With this setting, the police officer only needs to pass through part of the target range instead of purposefully entering the target range for patrol. By setting appropriate indicators, it can prevent the police officer's equipment from obtaining data irrelevant to the actual patrol behavior, which helps to improve management efficiency.

[0107] In a possible implementation, the feature management method based on map data fusion further includes:

[0108] S700: When it is determined that the patrol index of the police officer within the target range does not meet the set index, it is determined whether there is a target patrol task. The target patrol task is a patrol task within the target range.

[0109] In Scenario 3, the target range is simply a spatial range derived from a relatively small number of target data sources. When an officer intends to reach the target range, they will traverse it. This means that all map grid information replaced within the preset duration will be within the target range. However, the number of replacements (i.e., the number of replacements is the number of map grids within the target range) will not exceed the preset number. This means that, since the target range is simply a spatial range derived from a relatively small number of target data sources, the number of replacements (i.e., the number of replacements is the number of map grids within the target range) will not exceed the preset number. Therefore, the officer's patrol performance within the target range is analyzed to have failed to meet the set criteria, and the result data is not sent to the officer's device. However, the officer intended to conduct a patrol mission within the target range, resulting in the officer's device being unable to obtain data related to actual patrol activities, reducing management efficiency. Therefore, when the officer's patrol performance within the target range is analyzed to have failed to meet the set criteria, it can be determined whether a target patrol mission exists, thus avoiding the issues in Scenario 3.

[0110] With this setting, by judging whether there is an actual target patrol task when the patrol indicators do not meet the set indicators, it can effectively avoid the situation where the target range is only the range of space composed of a small number of target data sources, so that the police equipment can obtain data related to the actual patrol behavior, which helps to improve management efficiency.

[0111] S800, when determining that there is a target patrol task, sends the result data to the police officer's device.

[0112] It can be understood that when it is determined that there is a target patrol task, it means that since the target range is only the range of the spatial composition obtained by a smaller number of target data sources, the number of replacements (that is, the number of replacements is the number of map grid information within the target range) will not exceed the preset number, which leads to the analysis that the police officer's patrol indicators within the target range do not meet the set indicators. Therefore, the result data can be sent to the police officer's equipment to meet the patrol needs.

[0113] With this setting, by judging whether there is an actual target patrol task when the patrol indicators do not meet the set indicators, it can effectively avoid the situation where the target range is only the range of space composed of a small number of target data sources, so that the police equipment can obtain data related to the actual patrol behavior, which helps to improve management efficiency.

[0114] In a possible implementation, the feature management method based on map data fusion further includes:

[0115] The set indicators also include that the police officer's equipment remains within the target range within the first period of time.

[0116] In scenario 4, the target range is just a range composed of the space obtained by a smaller number of target data sources. When the police officer wants to go to the target range, he will pass through the target range, and then the problem in scenario 3 will occur. Then it can be determined that there is a target patrol task. However, if the police officer is only temporarily replacing another police officer for patrol, that is, the police officer does not actually have a target patrol task, that is, the target patrol task is actually the task of another police officer, then when it is determined that the police officer does not have a target patrol task, the result data will not be sent to the police officer's device, which will cause the police officer's device to be unable to obtain data related to the actual patrol behavior.

[0117] In order to avoid the problem in scenario 4, it is possible to determine whether the police officer's equipment is still within the target range within the first period of time. In this way, even if the police officer is temporarily replacing another police officer for patrol, that is, the police officer does not actually have a target patrol task, it can be analyzed that the police officer's patrol indicators within the target range meet the set indicators, so the result data can be sent to the police officer's equipment.

[0118] With this setting, by judging whether the police officer's equipment is still within the target range within the first period of time, the police officer's equipment can obtain data related to actual patrol behavior, which helps to improve management efficiency.

[0119] In a possible implementation, the feature management method based on map data fusion further includes:

[0120] If it is determined based on the map grid information or the map element information that the police officer's device is within the target range, and the patrol period of the police officer's device within the target range is greater than or equal to the set period, the result data is sent to the police officer's device.

[0121] It is understandable that the inspection period can be 10 minutes, 20 minutes, 30 minutes, etc. The set period can be 10 minutes, 20 minutes, 30 minutes, etc.

[0122] For example, if it is determined based on map grid information or map element information that the police officer's equipment is within the target range, and the patrol period of the police officer's equipment within the target range is greater than or equal to the set period, it means that the police officer is not on the way to another target range and is about to pass through part of the target range, that is, the probability of going to the target range is very high, then the result data can be sent to the police officer's equipment.

[0123] With this setting, the police officer only passes through part of the target range instead of purposefully entering the target range for patrol. By comparing the patrol period with the set period, it can prevent the police officer's equipment from obtaining data irrelevant to the actual patrol behavior, which helps to improve management efficiency.

[0124] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0125] Corresponding to the feature management method based on map data fusion described in the above embodiment, the embodiment of the present application also provides a feature management device, and each unit of the device can implement each step of the feature management method based on map data fusion. Figure 4 A structural block diagram of the element management device provided in an embodiment of the present application is shown. For the sake of convenience, only the parts related to the embodiment of the present application are shown.

[0126] Reference Figure 4 , element management equipment includes:

[0127] A recording unit is configured to record management data upon receiving an element update instruction and if the element management device mapped to the target data source is in preset mode. The element update instruction is used to obtain map element data from the target data source. The management data includes the identifier of the target data source. A single element management device may be mapped to multiple target data sources, and the element management device may be capable of fusing data collected from multiple target data sources. The preset mode indicates that there is no interaction between the element management device and the element management system.

[0128] The sending unit is configured to start a timer after completing the operation of recording management data, and when the accumulated time of the timer reaches a target value, send a data acquisition instruction to the feature management device. The target value is greater than the time between the completion of the operation of recording the management data and the start time of the next most recent target mode of the feature management device. The data acquisition instruction is used to re-acquire map feature data from the target data source, so that the feature management device can obtain the map feature data from the target data source. The target mode is used to reflect the existence of interaction between the feature management device and the feature management system.

[0129] The acquisition unit is used to acquire result data sent by the element management device, wherein the result data is used to reflect the map element data of the target data source.

[0130] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0131] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units as needed, that is, the internal structure of the device can be divided into different functional units to complete all or part of the functions described above. The functional units in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units in the above-mentioned device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0132] The present application also provides an element management system. Figure 5 This is a structural diagram of the element management system provided in one embodiment of the present application. Figure 5As shown, the element management system 6 of this embodiment includes: at least one processor 60 ( Figure 5 Only one is shown), at least one memory 61 ( Figure 5 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the feature management system 6 implements the steps of any of the above-mentioned feature management method embodiments based on map data fusion, or implements the functions of each unit in the above-mentioned device embodiments.

[0133] For example, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to implement the present application. The one or more units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 62 in the factor management system 6.

[0134] The element management system 6 may be an administrative control center system, a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, a computer, a laptop computer, a handheld computing device, etc. The element management system 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that Figure 5 It is only an example of the element management system 6 and does not constitute a limitation on the element management system 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0135] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0136] In some embodiments, the memory 61 may be an internal storage unit of the element management system 6, such as the hard drive or memory of the element management system 6. In other embodiments, the memory 61 may also be an external storage device of the element management system 6, such as a plug-in hard drive, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the element management system 6. Furthermore, the memory 61 may include both the internal storage unit of the element management system 6 and an external storage device. The memory 61 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is about to be output.

[0137] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0138] An embodiment of the present application provides a computer program product. When the computer program product is run on an element management system, the element management system implements the steps of any of the above method embodiments.

[0139] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process in the above-mentioned embodiment method by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can at least include: any entity or device capable of carrying computer program code to the element management system, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, mobile hard drive, magnetic disk, or optical disk.

[0140] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0141] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0142] In the embodiments provided in the present application, it should be understood that the disclosed element management device, element management system and element management method based on map data fusion can be implemented in other ways. For example, the element management device and element management system embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0143] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0144] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A feature management method based on map data fusion, characterized in that: The method comprises: In the case of obtaining an element update instruction, if the element management device mapped by the target data source is in a preset mode, then management data is recorded; wherein the element update instruction is used to obtain map element data of the target data source; the management data includes a marker of the target data source; one element management device maps multiple target data sources, and the element management device is capable of fusing data collected by multiple target data sources; the preset mode is used to reflect that there is no interaction between the element management device and the element management system; the map element data of the target data source includes traffic flow data, building data, population density data, and a fire protection facility location map; After completing the operation of recording the management data, a timer is started, and when the accumulated duration of the timer reaches a target value, a data acquisition instruction is sent to the feature management device; wherein the target value is greater than the time value between the moment when the operation of recording the management data is completed and the moment when the next most recent target mode of the feature management device starts; the data acquisition instruction is used to again acquire the map feature data of the target data source, so that the feature management device acquires the map feature data of the target data source; the target mode is used to reflect the existence of interaction between the feature management device and the feature management system; Obtain result data sent by the feature management device; wherein the result data is used to reflect the map feature data of the target data source.

2. The feature management method based on map data fusion according to claim 1, characterized in that: The method further comprises: When an element update instruction is obtained, if the element management device mapped by the target data source is in the target mode, the data acquisition instruction is sent to the element management device.

3. The feature management method based on map data fusion according to claim 1, characterized in that: The management data further includes a time value between the time when the operation of recording the management data is completed and the time when the target mode is started in the next round of the element management device.

4. The feature management method based on map data fusion according to claim 1, characterized in that: The method further comprises: The time value between the moment when the operation of recording the management data is completed and the moment when the next round of the target mode of the element management device starts is set based on the cycle of the preset mode, the cycle of the target mode or the time data sent by the element management device.

5. The feature management method based on map data fusion according to claim 1, characterized in that: The method further comprises: Obtaining target data sent by the element management device; wherein the target data is used to reflect the time when the element management device is subsequently adjusted to the preset mode; Based on the target data, the time required for the factor management device to subsequently adjust to the target mode is adjusted.

6. The feature management method based on map data fusion according to any one of claims 1 to 5, characterized in that: After obtaining the result data sent by the factor management device, the method further includes: Obtaining map grid information or map element information monitored by the police device corresponding to the police officer; If it is determined that the police officer's device is within the target range based on the map grid information or the map element information, then analyzing whether the police officer's patrol index within the target range meets a set index; wherein the patrol index is used to reflect the police officer's patrol situation within the target range; the set index includes obtaining that the map grid information replaced by the police officer's device within a preset time period is map grid information within the target range, and the number of replacements exceeds a preset number; When it is analyzed that the patrol index of the police officer within the target range meets the set index, the result data is sent to the police officer's equipment.

7. The feature management method based on map data fusion according to claim 6, characterized in that: The method further comprises: When it is analyzed that the patrol index of the police officer within the target range does not meet the set index, determining whether there is a target patrol task; wherein the target patrol task is a patrol task within the target range; When it is determined that the target patrol mission exists, the result data is sent to the police officer device.

8. The feature management method based on map data fusion according to claim 6, characterized in that: The set indicator also includes that the police officer's equipment remains within the target range within the first time period.

9. The feature management method based on map data fusion according to claim 6, characterized in that: The method further comprises: If it is determined according to the map grid information or the map element information that the police device is within the target range, and the patrol period of the police device within the target range is greater than or equal to the set period, the result data is sent to the police device.

10. An element management device, characterized in that: For implementing the feature management method based on map data fusion according to any one of claims 1 to 9, the device comprises: a recording unit configured to record management data upon obtaining an element update instruction and if the element management device mapped to the target data source is in a preset mode; wherein the element update instruction is used to obtain map element data of the target data source; the management data includes an identifier of the target data source; one element management device is mapped to multiple target data sources, and the element management device is capable of fusing data collected by the multiple target data sources; and the preset mode is used to reflect that there is no interaction between the element management device and the element management system; a sending unit configured to start a timer after completing the operation of recording the management data, and to send a data acquisition instruction to the feature management device when the accumulated duration of the timer reaches a target value; wherein the target value is greater than the time between the moment when the operation of recording the management data is completed and the moment when the next most recent target mode of the feature management device begins; the data acquisition instruction is configured to again acquire the map feature data of the target data source so that the feature management device acquires the map feature data of the target data source; and the target mode is configured to reflect the existence of interaction between the feature management device and the feature management system. An acquiring unit is used to acquire result data sent by the feature management device; wherein the result data is used to reflect the map feature data of the target data source.

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