CN115374227A - Target object monitoring method and device based on virtual map - Google Patents

Abstract

The invention discloses a target object monitoring method and a target object monitoring device based on a virtual map, wherein the method comprises the following steps: acquiring state parameters acquired by at least one target intelligent device in an application scene aiming at a target object to be monitored; outputting the acquired state parameters on a virtual map corresponding to the application scene; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting abnormal early warning prompts corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions. Therefore, the method and the device can realize intelligent monitoring of the target object based on the virtual map corresponding to the application scene, do not need to rely on camera equipment, enrich intelligent monitoring modes of the target object, have strong applicability, and also can output corresponding abnormity early warning prompts on the virtual map when the abnormity of the target object is monitored, realize abnormity early warning based on the virtual map, and are beneficial to improving the abnormity processing efficiency.

Description

Target object monitoring method and device based on virtual map

Technical Field

The invention relates to the technical field of intelligent equipment, in particular to a target object monitoring method and device based on a virtual map.

Background

Along with the rapid development of electronic technology, more and more equipment develops towards the intelligent direction, and based on advantages such as convenient operation is swift, labour saving and time saving, the application of smart machine in scenes such as life, work, production is increasingly popularized and also more important.

In some application scenarios (such as a home scenario), besides installing or installing an intelligent device, an organism such as a person and/or an animal may be included, and in order to reduce the occurrence of a situation that an abnormality of the organism occurs in the application scenario and cannot be found in time, the organism needs to be monitored. In practical applications, besides human monitoring, the most commonly used intelligent monitoring mode is realized by a camera (such as a video camera), however, the current intelligent monitoring mode is single and has certain limitations, for example: the monitoring range has certain limitations. Therefore, how to provide a monitoring mode which is independent of the camera equipment and has strong applicability is very important.

Disclosure of Invention

The invention provides a target object monitoring method and device based on a virtual map, which can realize intelligent monitoring of a target object based on the virtual map corresponding to an application scene without depending on camera equipment, enriches intelligent monitoring modes of the target object and has strong applicability.

In order to solve the above technical problem, a first aspect of the present invention discloses a target object monitoring method based on a virtual map, the method including:

acquiring state parameters acquired by at least one target intelligent device in an application scene aiming at a target object to be monitored;

outputting the acquired state parameters on a virtual map corresponding to the application scene; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting abnormal early warning prompts corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions.

As an optional implementation manner, in the first aspect of the present invention, the determining whether the acquired state parameter meets a preset abnormal early warning condition includes:

judging whether the acquired state parameters are within a preset normal state parameter range, and determining that the acquired state parameters meet preset abnormal early warning conditions when the judgment result is negative; alternatively, the first and second electrodes may be,

determining the motion track of the target object according to the acquired state parameters, judging whether the target object moves towards a predetermined dangerous area or not according to the motion track, and determining that the acquired state parameters meet preset abnormal early warning conditions when the target object is judged to move towards the dangerous area.

As an alternative implementation, in the first aspect of the present invention, the method further includes:

determining a real-time position of the target object in the application scene;

mapping the real-time position of the target object in the application scene into the corresponding position of the target object in the virtual map according to the mapping relation between the position in the application scene and the virtual map;

and outputting the identification corresponding to the target object at the corresponding position in the virtual map.

As an optional implementation manner, in the first aspect of the present invention, after the determining the corresponding position of the object in the application scene, the method further includes:

detecting whether a position which is less than or equal to a preset distance from the corresponding position of the target object in the application scene is in a preset dangerous area;

when the detection result is yes, determining an identification output mode corresponding to the target object according to the minimum distance between the corresponding position of the target object in the application scene and the boundary of the preset danger area, wherein different minimum distances correspond to different identification output modes;

wherein the outputting the identification corresponding to the target object at the corresponding position in the virtual map comprises:

and outputting the identification corresponding to the target object at the corresponding position in the virtual map by the identification output mode corresponding to the target object.

As an alternative implementation, in the first aspect of the present invention, the method further includes:

determining an influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map;

screening the trigger equipment of the influence factor according to the current working parameters of all intelligent equipment output by the virtual map;

determining a control parameter corresponding to the trigger device of the influence factor according to the influence factor, outputting a control prompt including the control parameter corresponding to the trigger device of the influence factor, and/or sending the control parameter corresponding to the trigger device of the influence factor to a target intelligent device to trigger the target intelligent device to adjust a working parameter of the trigger device of the influence factor according to the control parameter corresponding to the trigger device of the influence factor.

As an alternative implementation, in the first aspect of the present invention, the method further includes:

after determining the influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map, the method further includes:

determining the type of the influence factor, and judging whether the influence factor is a dynamic influence factor according to the type of the influence factor;

and triggering and executing the triggering device for screening the influence factors according to the current working parameters of all the intelligent devices output by the virtual map when the influence factors are judged to be the dynamic influence factors.

As an optional implementation manner, in the first aspect of the present invention, the sending, to a target smart device, a control parameter corresponding to a trigger device of the impact factor to trigger the target smart device to adjust an operating parameter of the trigger device of the impact factor according to the control parameter corresponding to the trigger device of the impact factor includes:

when the number of the devices corresponding to the trigger devices of the influence factors is larger than or equal to the preset number of the devices, judging whether the trigger devices of the influence factors correspond to the same centralized control device;

and when the triggering devices of the influence factors correspond to the same centralized control device, sending the control parameters corresponding to the triggering devices of the influence factors to the centralized control device so as to trigger the centralized control device to adjust the working parameters of the triggering devices of the influence factors according to the control parameters corresponding to the triggering devices of the influence factors.

The invention discloses a target object monitoring device based on a virtual map in a second aspect, which comprises:

the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for acquiring state parameters acquired by at least one target intelligent device in an application scene aiming at a target object to be monitored;

the state parameter processing module is used for outputting the acquired state parameters on a virtual map corresponding to the application scene; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting abnormal early warning prompts corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions.

As an optional implementation manner, in the second aspect of the present invention, a specific manner of determining, by the state parameter processing module, whether the acquired state parameter satisfies a preset abnormality warning condition is as follows:

judging whether the acquired state parameters are within a preset normal state parameter range, and when the judgment result is negative, determining that the acquired state parameters meet preset abnormal early warning conditions; alternatively, the first and second electrodes may be,

determining the motion track of the target object according to the acquired state parameters, judging whether the target object moves towards a predetermined dangerous area or not according to the motion track, and determining that the acquired state parameters meet preset abnormal early warning conditions when the target object is judged to move towards the dangerous area.

As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:

the position determining module is used for determining the real-time position of the target object in the application scene;

the mapping module is used for mapping the real-time position of the target object in the application scene into the corresponding position of the target object in the virtual map according to the mapping relation between the position in the application scene and the virtual map;

and the identification output module is used for outputting the identification corresponding to the target object at the corresponding position in the virtual map.

As an optional embodiment, in the second aspect of the present invention, the apparatus further comprises:

the detection module is used for detecting whether a position which is less than or equal to a preset distance away from the corresponding position of the target object in the application scene is in a preset dangerous area or not after the position determination module determines the corresponding position of the target object in the application scene;

the output determining module is used for determining the identifier output mode corresponding to the target object according to the minimum distance between the corresponding position of the target object in the application scene and the boundary of the preset dangerous area when the detection result of the detecting module is yes, wherein different minimum distances correspond to different identifier output modes;

the specific way of outputting the identifier corresponding to the target object at the corresponding position in the virtual map by the identifier output module is as follows:

and outputting the identification corresponding to the target object at the corresponding position in the virtual map by the identification output mode corresponding to the target object.

As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:

the factor determining module is used for determining an influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map;

the screening module is used for screening the trigger equipment of the influence factors according to the current working parameters of all the intelligent equipment output by the virtual map;

the parameter determining module is used for determining control parameters corresponding to the trigger equipment of the influence factors according to the influence factors;

and the parameter processing module is used for outputting a control prompt comprising a control parameter corresponding to the trigger equipment of the influence factor, and/or sending the control parameter corresponding to the trigger equipment of the influence factor to target intelligent equipment so as to trigger the target intelligent equipment to adjust the working parameter of the trigger equipment of the influence factor according to the control parameter corresponding to the trigger equipment of the influence factor.

As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:

the type determining module is used for determining the type of the influence factor after the factor determining module determines the influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map;

and the judging module is used for judging whether the influence factors are dynamic influence factors according to the types of the influence factors, and when the influence factors are judged to be the dynamic influence factors, the screening module is triggered to execute the current working parameters of all the intelligent devices output according to the virtual map, so that the operation of triggering equipment of the influence factors is determined.

As an optional implementation manner, in the second aspect of the present invention, a specific manner in which the parameter processing module sends the control parameter corresponding to the trigger device of the impact factor to the target intelligent device to trigger the target intelligent device to adjust the working parameter of the trigger device of the impact factor according to the control parameter corresponding to the trigger device of the impact factor is as follows:

when the number of the devices corresponding to the trigger devices of the influence factors is larger than or equal to the preset number of the devices, judging whether the trigger devices of the influence factors correspond to the same centralized control device;

and when the triggering devices of the influence factors correspond to the same centralized control device, sending the control parameters corresponding to the triggering devices of the influence factors to the centralized control device so as to trigger the centralized control device to adjust the working parameters of the triggering devices of the influence factors according to the control parameters corresponding to the triggering devices of the influence factors.

The invention discloses a third aspect of the other kind of object monitoring device based on virtual map, the device includes:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute part or all of the steps of any one of the virtual map-based object monitoring methods disclosed in the first aspect of the present invention.

In a fourth aspect, the present invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer instructions are used to execute part or all of the steps in any one of the virtual map-based object monitoring methods disclosed in the first aspect of the present invention.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, state parameters acquired by at least one target intelligent device in an application scene aiming at a target object to be monitored are acquired; outputting the acquired state parameters on a virtual map corresponding to the application scene; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting an abnormal early warning prompt corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions. Therefore, the method and the device can realize intelligent monitoring of the target object based on the virtual map corresponding to the application scene, do not need to rely on camera equipment, enrich intelligent monitoring modes of the target object and have strong applicability, and can output corresponding abnormity early warning prompts on the virtual map when the abnormity of the target object is monitored, thereby realizing abnormity early warning based on the virtual map, being beneficial to improving the abnormity processing efficiency, being beneficial to improving the use experience of users and being further beneficial to improving the viscosity of the users.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow chart of a target object monitoring method based on a virtual map according to an embodiment of the present invention;

fig. 2 is a schematic flowchart of another virtual map-based object monitoring method according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a target object monitoring apparatus based on a virtual map according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of another virtual map-based object monitoring apparatus according to an embodiment of the disclosure;

fig. 5 is a schematic structural diagram of another object monitoring device based on a virtual map according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention discloses a target object monitoring method and device based on a virtual map, which can realize intelligent monitoring of a target object based on the virtual map corresponding to an application scene without depending on camera equipment, enrich the intelligent monitoring mode of the target object and have strong applicability, and can output corresponding abnormal early warning prompt on the virtual map when the target object is monitored to be abnormal, thereby realizing the abnormal early warning based on the virtual map, being beneficial to improving the abnormal processing efficiency, being beneficial to improving the use experience of a user and being further beneficial to improving the viscosity of the user.

In order to better understand the method and the apparatus for monitoring the target object based on the virtual map described in the present invention, an application scenario to which the method described in the present invention is applicable is first described. The application scene can include a plurality of intelligent devices, the user terminal or the background control server can generate a virtual map corresponding to the application scene according to the actual layout of the application scene and the installation position of the intelligent devices in the application scene, and the virtual map can be displayed to a user (such as an authorized person of the application scene) through the user terminal.

The virtual space layout corresponding to the virtual map is consistent with the actual layout of the application scene, the device identifier of the intelligent device existing in the application scene can be displayed on the virtual map, and the display position of the device identifier of the intelligent device in the virtual space layout corresponding to the virtual map is consistent with the installation position of the device identifier in the actual layout of the application scene.

Further, the virtual map may also display current operating status information of the smart device and/or status information collected/monitored by the smart device.

Further, the virtual map may also be used for a user to trigger one or more combinations of control operation, monitoring operation, management operation, and the like for the smart device in the application scenario.

Further, if an organism (such as a person, an animal, and the like) exists in the application scene, the user terminal or the background control server can acquire state parameters acquired by at least one intelligent device in the application scene for the organism, and can perform intelligent monitoring on the organism by combining a virtual map according to the acquired state parameters, such as outputting the state parameters of the organism, and/or performing abnormality judgment, abnormality early warning, and the like on the organism.

The following respectively describes the method and apparatus for monitoring the target object based on the virtual map according to the present invention in detail.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for monitoring a target object based on a virtual map according to an embodiment of the present invention. The method described in fig. 1 may be applied to a monitoring device, which may be integrated in a user terminal, or may be integrated in a centralized control device (such as a large-screen smart refrigerator) in an application scenario, and is preferably integrated in the user terminal in consideration of monitoring flexibility based on a virtual map, so that when a relevant person is in a moving state, monitoring of an object or other intelligent functions may be implemented through the virtual map displayed by the user terminal, which is not limited in the embodiment of the present invention. As shown in fig. 1, the virtual map-based object monitoring method may include the following operations:

101. the monitoring device acquires state parameters acquired by at least one target intelligent device in an application scene aiming at a target object to be monitored.

In the embodiment of the present invention, the target object to be monitored may be a living organism, such as a human or an animal, or may be an intelligent device (such as an intelligent device with a potential safety hazard) having a special monitoring requirement in an application scenario, or may be an intelligent device that needs to move in an application scenario, which is not limited in the embodiment of the present invention. Optionally, the state parameters acquired by the target smart device for the target object to be monitored may include: the target intelligent device directly acquires the state parameters of the target object, and/or the state parameters acquired by the target intelligent device through interaction with the target object, which is not limited in the embodiment of the present invention. It should be noted that, if the target object is a living object, the interaction between the target smart device and the target object may specifically be the interaction between the target smart device and a user device (such as a smart band, a smart phone watch, etc.) carried or worn by the target object.

It should be further explained that, when the target object is an intelligent device, the target intelligent device itself can also be the target object, that is: the target intelligent device can collect the state parameters of the target intelligent device and report the state parameters to the monitoring device.

102. The monitoring device outputs the acquired state parameters on a virtual map corresponding to the application scene; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting abnormal early warning prompts corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions.

In the embodiment of the invention, different types of target objects correspond to different types of state parameters. Optionally, when the target organism is an organism, the acquired state parameters may include physiological characteristic parameters of the organism and/or position parameters of the organism in the application scene, further, the position parameters of the organism in the application scene may include planar position parameters of the organism in the application scene and/or three-dimensional position parameters of the organism in the application scene (such as height of the organism from the ground, etc.), and if the organism is in a static state, the position parameters are fixed and unchanged, and if the organism is in a non-static state, the position parameters are dynamically changed; when the target object is an immobile and non-biological object, the acquired state parameters may include the working parameters of the target object itself, and if the target object is a mobile and non-biological object, the acquired state parameters may include the working parameters of the target object itself and/or the position parameters of the target object.

For example, in a home scene, a parent may display a home map (homemap) corresponding to the home scene through a mobile phone. If a child or a pet exists in the family scene, the real-time position of the child or the pet can be collected through equipment with an infrared function (such as infrared sensing equipment) and displayed on the virtual map. When the parents are busy (for example, busy with cooking and the like), the real-time positions of the children or the pets in the family scene can be known through the virtual map displayed on the mobile phone. For another example: when the child or the pet is judged to be in a high dangerous position or move towards a dangerous area according to the real-time position of the child or the pet, an abnormal early warning prompt can be output through a virtual map displayed by a mobile phone, so that parents can find and process the abnormal early warning prompt in time.

Therefore, the embodiment of the invention can realize intelligent monitoring of the target object based on the virtual map corresponding to the application scene, does not need to rely on camera equipment, enriches the intelligent monitoring modes of the target object, has strong applicability, and can output corresponding abnormity early warning prompt on the virtual map when the abnormity of the target object is monitored, thereby realizing the abnormity early warning based on the virtual map, being beneficial to improving the abnormity processing efficiency, improving the use experience of a user and further being beneficial to improving the viscosity of the user.

In an optional embodiment, the determining, by the monitoring device, whether the acquired state parameter meets a preset abnormal early warning condition may include:

the monitoring device judges whether the acquired state parameters are in a preset normal state parameter range, and when the judgment result is negative, the acquired state parameters are determined to meet preset abnormal early warning conditions; alternatively, the first and second electrodes may be,

the monitoring device determines the motion track of the target object according to the collected state parameters, judges whether the target object moves towards a predetermined dangerous area or not according to the motion track, and determines that the collected state parameters meet preset abnormal early warning conditions when the target object is judged to move towards the dangerous area.

Optionally, the dangerous area may specifically include an area where a safety hazard exists, such as an electricity utilization area, a high temperature area, and the like.

Further, when the acquired state parameters meet the abnormal early warning conditions, the monitoring device can further acquire abnormal processing prompts aiming at the target object in the current abnormal state so as to carry out related abnormal processing operations.

Furthermore, if the exception handling operation prompted by the exception handling prompt does not need human participation, the monitoring device can directly execute the exception handling operation and further output a corresponding exception handling result.

Further, when the target object is judged to move towards the dangerous area, the monitoring device can further move the intelligent cruise equipment in the application scene to move to the target object and output a guidance prompt so as to guide the target object not to approach the dangerous area.

Therefore, the optional embodiment can intelligently realize output control of the abnormity early warning by judging whether the acquired state parameters are in the range of the preset normal state parameters or judging whether the target object moves towards the dangerous area, and is beneficial to relevant personnel to find abnormity in time, so that the abnormity processing efficiency is improved.

In another optional embodiment, the method may further comprise the operations of:

the monitoring device collects target information corresponding to a virtual map matched with an application scene;

and the monitoring device determines the target operation to be executed according to the target information and executes the target operation.

The target operation may include one or more of an information output operation, an information recommendation operation, an information association operation, and a device control operation.

Optionally, the monitoring device performing the target operation may include:

when the target operation comprises an information output operation, the monitoring device determines target content to be output according to the target information and outputs the target content on the virtual map;

when the target operation comprises information recommendation operation, the monitoring device determines matched contents to be recommended according to an information set displayed on the virtual map, and recommends the contents to be recommended on the virtual map;

when the target operation comprises information processing operation, the monitoring device determines at least two pieces of first intelligent equipment needing to establish an incidence relation according to the target information, and establishes incidence relations among all the pieces of first intelligent equipment, wherein the incidence relations are used for realizing linkage control among the plurality of pieces of first intelligent equipment;

when the target operation comprises equipment control operation, the monitoring device screens all second intelligent equipment to be controlled according to the determined user use habit information and/or the information set displayed on the virtual map and executes the control operation aiming at each second intelligent equipment.

As an optional implementation manner, the acquiring, by the monitoring device, target information corresponding to a virtual map matched with a certain application scene may include:

the monitoring device positions a current geographic position of a user terminal on which a virtual map matched with an application scene is displayed, and determines a position relation between the user terminal and a position area according to the current geographic position and the position area corresponding to the application scene; and when the position relation meets the preset position relation condition, determining the position relation as the target information corresponding to the virtual map.

In this optional embodiment, the target operation specifically includes an information output operation and/or a device control operation, where the information output operation may be used to output preset information (such as greeting or reservation information), and the device control operation is used to control a corresponding smart device matching operation, so as to reduce human control operations and improve control efficiency of the smart device.

As another optional implementation manner, the acquiring, by the monitoring device, target information corresponding to a virtual map matched with a certain application scene may include:

the monitoring device detects whether a user triggers a device selection instruction on a virtual map matched with an application scene;

and when detecting that the user triggers the equipment selection instruction, the monitoring device determines the equipment selection instruction as the target information corresponding to the virtual map.

Alternatively, the device selection instruction may be user-triggered by a line or circle.

As another optional implementation manner, the acquiring, by the monitoring device, target information corresponding to a virtual map matched with a certain application scene may include:

the method comprises the steps that a monitoring device collects a first information set displayed in a virtual map matched with an application scene and/or a second information set corresponding to intelligent equipment in the virtual map;

the monitoring device determines target information corresponding to the virtual map according to the acquired information set;

the target operation specifically comprises an information recommendation operation, and the information recommendation operation is used for: the method comprises the steps of recommending other intelligent equipment required by an application scene, and/or recommending at least one intelligent equipment group capable of realizing linkage control in the existing intelligent equipment of the application scene, wherein each intelligent equipment group comprises at least one intelligent equipment. Thus, an intelligent recommendation function can be realized based on the virtual map.

Therefore, the optional embodiment can enrich the intelligent functions (such as one or more of the intelligent information output function, the intelligent information recommendation function, the intelligent information association function and the intelligent equipment control function) under the intelligent equipment control scene based on the target information corresponding to the virtual map, further enrich the intelligent functions based on the virtual map, and be beneficial to further improving the user viscosity.

In this optional embodiment, further optionally, the method may further include the following operations:

when the target operation comprises information correlation operation, the monitoring device judges whether the determined types of all intelligent equipment to be correlated corresponding to the information correlation operation are artificially selected types or not;

when the determined type is judged to be the manually selected type, the monitoring device judges whether all the intelligent equipment to be associated meet preset association conditions or not according to the functional attribute parameters of all the intelligent equipment to be associated;

and when all the intelligent devices to be associated meet the association conditions, triggering the step of executing the target operation by the monitoring device.

Therefore, the optional embodiment can also allow the user to select the intelligent device needing to establish the association relationship according to the self requirement or the use habit, so that the control convenience and the control efficiency of the intelligent device can be improved. When the user selects the intelligent equipment needing to establish the association relationship, the intelligent equipment can intelligently judge whether the intelligent equipment needing to establish the association relationship meets the association condition, and then execute corresponding information association operation under the condition that the association condition is met, so that the reliability and the accuracy of establishing the association relationship between the intelligent equipment are improved.

In another optional embodiment, the method may further comprise the operations of:

when the distance value of an authorized user terminal from the centralized control equipment in an application scene is less than or equal to a preset distance threshold value, the monitoring device acquires real-time state information of all intelligent equipment in the application scene acquired by the centralized control equipment;

and the monitoring device generates a virtual map matched with the application scene according to the real-time state information of all the intelligent equipment in the application scene, and displays the virtual map.

Therefore, the optional embodiment can also generate and display a corresponding virtual map in advance according to the real-time state information acquired by the centralized control equipment when the user is close to the application scene, so that the relevant user can know the working state of the intelligent equipment in advance through the virtual map, and the efficiency and the accuracy of triggering the control operation aiming at the intelligent equipment by the user can be improved.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart illustrating another method for monitoring an object based on a virtual map according to an embodiment of the present invention. The method described in fig. 2 may be applied to a monitoring device, which may be integrated in a user terminal, or may be integrated in a centralized control device (such as a large-screen smart refrigerator) in an application scenario, and in consideration of monitoring flexibility based on a virtual map, the method is preferably integrated in the user terminal, so that when a relevant person is in a mobile state, monitoring of an object or other intelligent functions may be achieved through the virtual map displayed by the user terminal, and an embodiment of the present invention is not limited. As shown in fig. 2, the virtual map-based object monitoring method may include the following operations:

201. the monitoring device determines the real-time position of the target object in the application scene.

202. And the monitoring device maps the real-time position of the target object in the application scene into the corresponding position of the target object in the virtual map according to the mapping relation between the position in the application scene and the virtual map.

203. The monitoring device detects whether a position which is less than or equal to a preset distance from a corresponding position of a target object in an application scene is in a preset dangerous area or not; when the detection result of step 203 is yes, step 204 may be triggered to be executed; and when the detection result of the step 203 is negative, triggering to execute a step 206.

204. And the monitoring device determines an identification output mode corresponding to the target object according to the minimum distance between the corresponding position of the target object in the application scene and the boundary of the preset dangerous area.

Optionally, the monitoring device may determine the risk index of the target object according to the size of the minimum distance and further in combination with the preset risk type of the risk area and/or the attribute parameters (such as age, body type, and the like) of the target object, and screen a matching identifier output mode according to the determined risk index, as the identifier output mode corresponding to the target object.

205. And the monitoring device outputs the identification corresponding to the target object at the corresponding position on the virtual map in an identification output mode corresponding to the target object.

206. And outputting the identification corresponding to the target object at the corresponding position on the virtual map.

It should be noted that the method described in the embodiment of the present invention may further include steps 101 to 102 in the first embodiment, or may also include related steps in an optional embodiment in the first embodiment, and the embodiment of the present invention is not described again.

Therefore, the embodiment of the invention can map the real-time position of the target object in the application scene into the virtual map according to the mapping relation between the position in the application scene and the virtual map, and is beneficial to realizing the monitoring of the target object through the virtual map. In addition, when a dangerous area exists near the target object, the virtual map can be marked and displayed in a determined identification output mode, so that a relevant user can intuitively and quickly know the dangerous condition (such as a danger index) faced by the target object.

In an optional embodiment, the method may further comprise the operations of:

the monitoring device determines an influence factor corresponding to a preset dangerous area according to information corresponding to the preset dangerous area output on the virtual map, for example, for the preset high-temperature dangerous area, the corresponding influence factor is heat;

the monitoring device screens trigger equipment of the influence factors according to current working parameters of all intelligent equipment output by the virtual map, for example, when the corresponding influence factors are heat, the trigger equipment of the influence factors can be intelligent heating equipment;

the monitoring device determines control parameters corresponding to the trigger equipment of the influence factor according to the influence factor, outputs a control prompt including the control parameters corresponding to the trigger equipment of the influence factor, and/or sends the control parameters corresponding to the trigger equipment of the influence factor to the target intelligent equipment so as to trigger the target intelligent equipment to adjust working parameters of the trigger equipment of the influence factor according to the control parameters corresponding to the trigger equipment of the influence factor.

Further optionally, before the monitoring apparatus sends the control parameter corresponding to the trigger device of the impact factor to the target intelligent device to trigger the target intelligent device to adjust the working parameter of the trigger device of the impact factor according to the control parameter corresponding to the trigger device of the impact factor, the following operations may be further performed:

the monitoring device judges whether intelligent equipment which has a linkage control relation with the triggering equipment exists or not, and if the judgment result is negative, the monitoring device executes the control parameters corresponding to the triggering equipment which sends the influence factors to the target intelligent equipment so as to trigger the target intelligent equipment to adjust the working parameters of the triggering equipment of the influence factors according to the control parameters corresponding to the triggering equipment of the influence factors; and if so, contacting the linkage control relationship between the trigger equipment and the intelligent equipment with the linkage control relationship, and executing the control parameters corresponding to the trigger equipment which sends the influence factors to the target intelligent equipment so as to trigger the target intelligent equipment to adjust the working parameters of the trigger equipment with the influence factors according to the control parameters corresponding to the trigger equipment with the influence factors. Therefore, the situation that the working state of the intelligent equipment with the linkage control relation is influenced due to the fact that the triggering equipment is controlled can be reduced, and the control reliability of the triggering equipment is improved.

Therefore, the optional embodiment can also intelligently determine the influence factors corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area and determine the trigger equipment of the influence factors, and then output the control prompt including the control parameters or directly adjust the working state of the trigger equipment according to the control parameters, so as to reduce the dangerous index of the preset dangerous area and be beneficial to improving the safety of the target object.

In this optional embodiment, further optionally, after the monitoring device determines the influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map, the method may include the following operations:

the monitoring device determines the type of the influence factor and judges whether the influence factor is a dynamic influence factor according to the type of the influence factor, wherein the dynamic influence factor is used for expressing the influence factor which can be adjusted;

and when the influence factor is judged to be the dynamic influence factor, the monitoring device executes the step of screening the trigger equipment of the influence factor according to the current working parameters of all the intelligent equipment output by the virtual map.

Still further optionally, when it is determined that the influence factor is not the dynamic influence factor, the monitoring device may further schedule the intelligent cruise device to move to the position where the target object is located, and output a guidance prompt and/or execute a blocking operation corresponding to the target object, so as to reduce the probability that the target object moves to a dangerous area, and improve the safety of monitoring the target object based on the virtual map.

Therefore, the optional embodiment can also intelligently judge the type of the influence factor, and the subsequent trigger device screening operation is executed under the condition that the influence factor is the dynamic influence factor, so that the accuracy of the trigger device screening operation is improved.

In this optional embodiment, further optionally, the sending, by the monitoring apparatus, the control parameter corresponding to the trigger device of the impact factor to the target intelligent device to trigger the target intelligent device to adjust the working parameter of the trigger device of the impact factor according to the control parameter corresponding to the trigger device of the impact factor may include:

when the number of the equipment corresponding to the trigger equipment of the influence factor is larger than or equal to the preset equipment number, the monitoring device judges whether the trigger equipment of the influence factor corresponds to the same centralized control equipment;

when the trigger equipment of the influence factor corresponds to the same centralized control equipment, the monitoring device sends the control parameters corresponding to the trigger equipment of the influence factor to the centralized control equipment so as to trigger the centralized control equipment to adjust the working parameters of the trigger equipment of the influence factor according to the control parameters corresponding to the trigger equipment of the influence factor;

the target intelligent device is the centralized control device corresponding to the trigger device of the centralized control device influence factor.

Therefore, in the optional embodiment, the control over the plurality of trigger devices can be realized through the interaction between the monitoring device and the centralized control device under the condition that the number of the trigger devices is multiple and corresponds to the same centralized control device, so that the waste of processing resources of the monitoring device can be reduced, and the control efficiency over the trigger devices can be improved.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of a target object monitoring device based on a virtual map according to an embodiment of the present invention. The device may be integrated in a user terminal, or may be integrated in a centralized control device (such as a large-screen intelligent refrigerator) of an application scenario, and in consideration of monitoring flexibility based on a virtual map, the device is preferably integrated in the user terminal, so that monitoring of a target object or other intelligent functions can be realized through the virtual map displayed by the user terminal even when related people are in a mobile state, and an embodiment of the present invention is not limited. As shown in fig. 3, the apparatus may include:

an obtaining module 301, configured to obtain a state parameter, acquired by at least one target smart device in an application scenario, for a target object to be monitored.

In the embodiment of the present invention, the target object to be monitored may be a living organism, such as a human or an animal, or may be an intelligent device (such as an intelligent device with a potential safety hazard) having a special monitoring requirement in an application scenario, or may be an intelligent device that needs to move in an application scenario, which is not limited in the embodiment of the present invention. Optionally, the state parameters acquired by the target smart device for the target object to be monitored may include: the target intelligent device directly acquires the state parameters of the target object, and/or the state parameters acquired by the target intelligent device through interaction with the target object, which is not limited in the embodiments of the present invention. It should be noted that, if the target object is a living object, the interaction between the target smart device and the target object may specifically be the interaction between the target smart device and a user device (such as a smart band, a smart phone watch, etc.) carried or worn by the target object.

It should be further explained that, when the target object is an intelligent device, the target intelligent device itself can also be the target object, that is: the target intelligent device can collect the state parameters of the target intelligent device and report the state parameters to the monitoring device.

A state parameter processing module 302, configured to output the acquired state parameters on a virtual map corresponding to the application scenario; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting abnormal early warning prompts corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions.

In the embodiment of the invention, different types of target objects correspond to different types of state parameters. Optionally, when the target organism is an organism, the acquired state parameters may include physiological characteristic parameters of the organism and/or position parameters of the organism in the application scene, and further, the position parameters of the organism in the application scene may include planar position parameters of the organism in the application scene and/or three-dimensional position parameters of the organism in the application scene (such as a height of the organism from the ground, etc.), where if the organism is in a static state, the position parameters are fixed and unchanged, and if the organism is in a non-static state, the position parameters are dynamically changed; when the target object is an immobile and non-biological object, the acquired state parameters may include the working parameters of the target object itself, and if the target object is a mobile and non-biological object, the acquired state parameters may include the working parameters of the target object itself and/or the position parameters of the target object.

It can be seen that the implementation of the device described in fig. 3 can realize intelligent monitoring of the target object based on the virtual map corresponding to the application scene, does not need to rely on a camera device, enriches the intelligent monitoring modes of the target object and has strong applicability, and can output a corresponding abnormal early warning prompt on the virtual map when monitoring that the target object is abnormal, thereby realizing the abnormal early warning based on the virtual map, being beneficial to improving the abnormal processing efficiency, being beneficial to improving the use experience of a user, and further being beneficial to improving the viscosity of the user.

In an optional embodiment, the specific manner for the state parameter processing module 302 to determine whether the acquired state parameters satisfy the preset abnormal early warning condition may be:

judging whether the acquired state parameters are within a preset normal state parameter range, and determining that the acquired state parameters meet preset abnormal early warning conditions when the judgment result is negative; alternatively, the first and second electrodes may be,

and determining the motion track of the target object according to the acquired state parameters, judging whether the target object moves towards a predetermined dangerous area or not according to the motion track, and determining that the acquired state parameters meet a preset abnormal early warning condition when the target object is judged to move towards the dangerous area.

Therefore, the optional embodiment can intelligently realize output control of the abnormity early warning by judging whether the acquired state parameters are in the range of the preset normal state parameters or judging whether the target object moves towards the dangerous area, and is beneficial to relevant personnel to find abnormity in time, so that the abnormity processing efficiency is improved.

In another alternative embodiment, as shown in fig. 4, the apparatus may further include:

a position determining module 303, configured to determine a real-time position of the target object in the application scenario.

The mapping module 304 is configured to map a real-time position of the object in the application scene to a corresponding position of the object in the virtual map according to a mapping relationship between the position in the application scene and the virtual map.

And the identification output module 305 is used for outputting the identification corresponding to the target object at the corresponding position on the virtual map.

Therefore, the device described in fig. 4 can map the real-time position of the target object in the application scene to the virtual map according to the mapping relationship between the position in the application scene and the virtual map, which is beneficial to monitoring the target object through the virtual map.

In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:

the detecting module 306 is configured to detect whether a position that is within a preset danger area and is less than or equal to a preset distance from the corresponding position of the target object in the application scene after the position determining module 303 determines the corresponding position of the target object in the application scene.

And an output determining module 307, configured to determine, when the detection result of the detecting module 306 is yes, an identifier output mode corresponding to the target object according to a minimum distance between a corresponding position of the target object in the application scene and a boundary of a preset dangerous area, where different minimum distances correspond to different identifier output modes.

Optionally, the output determining module 307 may determine the risk index of the target object according to the minimum distance and further in combination with the preset risk type of the dangerous area and/or the attribute parameters (such as age, body type, etc.) of the target object, and screen a matching identifier output mode according to the determined risk index, as the identifier output mode corresponding to the target object.

The specific way for the identifier output module 305 to output the identifier corresponding to the target object at the corresponding position on the virtual map is as follows:

and outputting the identification corresponding to the target object at the corresponding position on the virtual map by the identification output mode corresponding to the target object.

It can be seen that, the device described in the embodiment of fig. 4 can also be marked and displayed on the virtual map through the determined identification output mode when a dangerous area exists near the target object, so that the relevant user can intuitively and quickly know the dangerous situation (such as the dangerous index) faced by the target object.

In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:

the factor determining module 308 is configured to determine an influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map.

The screening module 309 is configured to screen the trigger device of the impact factor according to the current working parameters of all the intelligent devices output by the virtual map.

And a parameter determining module 310, configured to determine, according to the influence factor, a control parameter corresponding to the trigger device of the influence factor.

The parameter processing module 311 is configured to output a control prompt including a control parameter corresponding to the trigger device with the impact factor, and/or send the control parameter corresponding to the trigger device with the impact factor to the target smart device, so as to trigger the target smart device to adjust a working parameter of the trigger device with the impact factor according to the control parameter corresponding to the trigger device with the impact factor.

It can be seen that, by implementing the apparatus described in fig. 4, the influence factor corresponding to the preset dangerous area can be intelligently determined according to the information corresponding to the preset dangerous area, and the trigger device of the influence factor can be determined, so as to output a control prompt including a control parameter or directly adjust the working state of the trigger device according to the control parameter, so as to reduce the dangerous index of the preset dangerous area, and improve the safety of the target object.

In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:

a type determining module 312 for determining the type of the influence factor.

The judging module 313 is configured to judge whether the impact factor is a dynamic impact factor according to the type of the impact factor, and when the impact factor is judged to be a dynamic impact factor, the triggering and screening module 309 executes the current working parameters of all the intelligent devices output according to the virtual map, and determines the operation of the triggering device of the impact factor.

Therefore, the device described in fig. 4 can also intelligently judge the type of the impact factor, and the subsequent trigger device screening operation is executed only when the impact factor is a dynamic impact factor, which is beneficial to improving the accuracy of the trigger device screening operation.

In yet another optional embodiment, the specific manner for the parameter processing module 311 to send the control parameter corresponding to the trigger device with the impact factor to the target smart device to trigger the target smart device to adjust the working parameter of the trigger device with the impact factor according to the control parameter corresponding to the trigger device with the impact factor is as follows:

when the number of the devices corresponding to the trigger devices of the influence factors is larger than or equal to the preset number of the devices, judging whether the trigger devices of the influence factors correspond to the same centralized control device;

and when the triggering devices of the influence factors correspond to the same centralized control device, sending the control parameters corresponding to the triggering devices of the influence factors to the centralized control device so as to trigger the centralized control device to adjust the working parameters of the triggering devices of the influence factors according to the control parameters corresponding to the triggering devices of the influence factors.

The target intelligent device is a centralized control device corresponding to the trigger device of the influence factor.

Therefore, in the optional embodiment, the control over the plurality of trigger devices can be realized through the interaction between the monitoring device and the centralized control device under the condition that the number of the trigger devices is multiple and corresponds to the same centralized control device, so that the waste of processing resources of the monitoring device can be reduced, and the control efficiency over the trigger devices can be improved.

Example four

Referring to fig. 5, fig. 5 is a schematic structural diagram of another object monitoring device based on a virtual map according to an embodiment of the present disclosure. The device may be integrated in a user terminal, or may be integrated in a centralized control device (such as a large-screen intelligent refrigerator) of an application scenario, and in consideration of monitoring flexibility based on a virtual map, the device is preferably integrated in the user terminal, so that monitoring of a target object or other intelligent functions can be realized through the virtual map displayed by the user terminal even when related people are in a mobile state, and an embodiment of the present invention is not limited. As shown in fig. 5, the apparatus may include:

a memory 401 storing executable program code;

a processor 402 coupled with the memory 401;

the processor 402 calls the executable program code stored in the memory 402 to execute part or all of the steps of the virtual map-based object monitoring method disclosed in the first embodiment or the second embodiment of the present invention.

EXAMPLE five

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer instructions are used for executing steps in the target object monitoring method based on the virtual map disclosed in the first embodiment or the second embodiment of the invention.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, wherein the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM) or other Memory capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

Finally, it should be noted that: the object monitoring method and device based on the virtual map disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A target object monitoring method based on a virtual map is characterized by comprising the following steps:

acquiring state parameters acquired by at least one target intelligent device in an application scene aiming at a target object to be monitored;

outputting the acquired state parameters on a virtual map corresponding to the application scene; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting abnormal early warning prompts corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions.

2. The method for monitoring the target object based on the virtual map according to claim 1, wherein the step of judging whether the acquired state parameters meet preset abnormal early warning conditions comprises the following steps:

judging whether the acquired state parameters are within a preset normal state parameter range, and determining that the acquired state parameters meet preset abnormal early warning conditions when the judgment result is negative; alternatively, the first and second liquid crystal display panels may be,

determining the motion track of the target object according to the acquired state parameters, judging whether the target object moves towards a predetermined dangerous area or not according to the motion track, and determining that the acquired state parameters meet preset abnormal early warning conditions when the target object is judged to move towards the dangerous area.

3. The virtual map-based object monitoring method according to claim 1 or 2, wherein the method further comprises:

determining a real-time position of the target object in the application scene;

mapping the real-time position of the target object in the application scene into the corresponding position of the target object in the virtual map according to the mapping relation between the position in the application scene and the virtual map;

and outputting the identification corresponding to the target object at the corresponding position in the virtual map.

4. The virtual map-based object monitoring method of claim 3, wherein after determining the corresponding location of the object in the application scenario, the method further comprises:

detecting whether a position which is less than or equal to a preset distance away from the corresponding position of the target object in the application scene is in a preset danger area;

when the detection result is yes, determining an identification output mode corresponding to the target object according to the minimum distance between the corresponding position of the target object in the application scene and the boundary of the preset dangerous area, wherein different minimum distances correspond to different identification output modes;

wherein the outputting the identification corresponding to the target object at the corresponding position in the virtual map comprises:

and outputting the identification corresponding to the target object at the corresponding position in the virtual map by the identification output mode corresponding to the target object.

5. The virtual map-based object monitoring method of claim 4, further comprising:

determining an influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map;

screening trigger equipment of the influence factors according to current working parameters of all intelligent equipment output by the virtual map;

determining control parameters corresponding to the trigger equipment of the influence factor according to the influence factor, outputting a control prompt comprising the control parameters corresponding to the trigger equipment of the influence factor, and/or sending the control parameters corresponding to the trigger equipment of the influence factor to target intelligent equipment so as to trigger the target intelligent equipment to adjust working parameters of the trigger equipment of the influence factor according to the control parameters corresponding to the trigger equipment of the influence factor.

6. The method for monitoring the target object based on the virtual map according to claim 5, wherein after determining the influence factor corresponding to the preset dangerous area according to the information corresponding to the preset dangerous area output on the virtual map, the method further comprises:

determining the type of the influence factor, and judging whether the influence factor is a dynamic influence factor according to the type of the influence factor;

and triggering and executing the step of screening the triggering device of the influence factor according to the current working parameters of all the intelligent devices output by the virtual map when the influence factor is judged to be the dynamic influence factor.

7. The virtual map-based target object monitoring method according to claim 5 or 6, wherein the sending the control parameter corresponding to the trigger device of the influence factor to the target smart device to trigger the target smart device to adjust the operating parameter of the trigger device of the influence factor according to the control parameter corresponding to the trigger device of the influence factor includes:

when the number of the devices corresponding to the trigger devices of the influence factors is larger than or equal to the preset number of the devices, judging whether the trigger devices of the influence factors correspond to the same centralized control device;

and when the triggering devices of the influence factors correspond to the same centralized control device, sending the control parameters corresponding to the triggering devices of the influence factors to the centralized control device so as to trigger the centralized control device to adjust the working parameters of the triggering devices of the influence factors according to the control parameters corresponding to the triggering devices of the influence factors.

8. An object monitoring device based on a virtual map, the device comprising:

the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for acquiring state parameters acquired by at least one target intelligent device in an application scene aiming at a target object to be monitored;

the state parameter processing module is used for outputting the acquired state parameters on a virtual map corresponding to the application scene; and/or judging whether the acquired state parameters meet preset abnormal early warning conditions or not, and outputting abnormal early warning prompts corresponding to the target object on a virtual map corresponding to the application scene when the acquired state parameters meet the abnormal early warning conditions.

9. An object monitoring device based on a virtual map, the device comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the virtual map-based object monitoring method according to any one of claims 1 to 7.

10. A computer storage medium storing computer instructions which, when invoked, perform a virtual map based object monitoring method according to any one of claims 1 to 7.

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