CN112153341B - Task supervision method, device and system, electronic equipment and storage medium - Google Patents

Task supervision method, device and system, electronic equipment and storage medium Download PDF

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CN112153341B
CN112153341B CN202011016502.5A CN202011016502A CN112153341B CN 112153341 B CN112153341 B CN 112153341B CN 202011016502 A CN202011016502 A CN 202011016502A CN 112153341 B CN112153341 B CN 112153341B
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monitoring
monitoring point
execution
image
task
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CN112153341A (en
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杨学习
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Hangzhou Hikvision Digital Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/20Checking timed patrols, e.g. of watchman

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Abstract

The embodiment of the application provides a task supervision method, a device, a system, electronic equipment and a storage medium, which relate to the technical field of computers, and the method comprises the following steps: under the condition that a target task is in an open state, acquiring a monitoring image of each monitoring point for monitoring the execution condition of the target task; judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task; and if the execution object exists in the monitoring image of each monitoring point location, determining that the execution object completes the target task. By applying the scheme provided by the embodiment of the application, the task supervision accuracy can be improved.

Description

Task supervision method, device and system, electronic equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a task supervision method, apparatus, system, electronic device, and storage medium.
Background
In scenes such as communities, markets, factories and the like, in order to improve security, patrolling personnel are generally required to patrol each patrol area. A plurality of inspection tasks can be designed in advance, and each inspection task designates an inspector to inspect a preset inspection area. For example, assuming that the scene is a cell, the patrol task may designate patrol persons a and B to patrol buildings 1 to 5.
In the prior art, in order to supervise whether an inspector completes a specified inspection task, the inspector is usually required to carry positioning terminals in the process of executing the inspection task, wherein each positioning terminal has a corresponding relationship with one inspector. Thus, the position of the positioning terminal can be obtained as the position of the patrol personnel corresponding to the positioning terminal. Whether the position of the patrol personnel is located in the appointed patrol area or not can be judged, and whether the patrol personnel patrol the appointed patrol area or not can be judged. In the case where it is determined that the position of the patrol person extends over each patrol area designated by the patrol task, it may be determined that the patrol person has completed the patrol task.
Although the prior art can be applied to monitor the patrol task, when the position of the positioning terminal is obtained, the positioning accuracy may be low due to the equipment precision, and the obtained position of the patrol personnel is low in accuracy, so that the patrol task monitoring accuracy is low.
Disclosure of Invention
An object of the embodiments of the present application is to provide a task monitoring method, device, system, electronic device, and storage medium, so as to improve accuracy of monitoring a patrol task. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a task supervision method, where the method includes:
under the condition that a target task is in an open state, acquiring a monitoring image of each monitoring point for monitoring the execution condition of the target task;
judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task;
and if the execution object exists in the monitoring image of each monitoring point location, determining that the execution object completes the target task.
In one embodiment of the application, an execution time period is preset for the target task;
the obtaining of the monitoring image of each monitoring point location for monitoring the execution condition of the target task under the condition that the target task is in the open state comprises the following steps:
and under the condition of the execution time period, acquiring a monitoring image of each monitoring point for supervising the execution condition of the target task.
In one embodiment of the present application, the method further comprises:
for each monitoring point location, recording the execution condition of the target task at the monitoring point location as executed under the condition that the execution object exists in the monitoring image of the monitoring point location; and/or
And for each monitoring point location, recording an image of the execution object when the target task is executed at the monitoring point location under the condition that the execution object exists in the monitoring image of the monitoring point location.
In one embodiment of the present application, the method further comprises:
receiving a task query instruction, and determining a task to be queried which meets the query condition indicated by the task query instruction;
and acquiring the task information of the task to be inquired and task execution information reflecting the execution condition of the task to be inquired.
In an embodiment of the present application, for each monitoring point location, it is preset that: the execution object executes the execution sequence of the target task at each monitoring point;
the determining whether the execution object exists in the monitoring image of each monitoring point location according to the preset image of the execution object of the target task includes:
for a first monitoring point location, judging whether the execution object exists in the monitoring image of the first monitoring point location according to a preset image of the execution object of the target task, wherein the initial first monitoring point location is as follows: the monitoring point position with the most front execution sequence;
if so, under the condition that all monitoring point locations used for supervising the execution condition of the target task are not traversed, updating the first monitoring point location to be a next monitoring point location according to the execution sequence, returning to the first monitoring point location, and judging whether the execution object exists in the monitoring image of the first monitoring point location according to a preset image of the execution object of the target task.
In a second aspect, an embodiment of the present application provides a task supervision apparatus, where the apparatus includes:
the image acquisition module is used for acquiring monitoring images of monitoring point positions used for monitoring the execution condition of the target task under the condition that the target task is in an open state;
the object judgment module is used for judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task;
and the task supervision module is used for determining that the execution object completes the target task if the execution object exists in the monitoring image of each monitoring point location.
In one embodiment of the application, an execution time period is preset for the target task;
the image obtaining module is specifically configured to:
and under the condition of the execution time period, acquiring a monitoring image of each monitoring point for supervising the execution condition of the target task.
In one embodiment of the present application, the apparatus further comprises:
the point location recording module is used for recording the execution condition of the target task at each monitoring point location as executed under the condition that the execution object exists in the monitoring image of the monitoring point location; and/or
And the image recording module is used for recording an image of the execution object in the monitoring point location when the execution object exists in the monitoring image of each monitoring point location under the condition of judging that the execution object exists in the monitoring image of the monitoring point location.
In an embodiment of the present application, the apparatus further includes an information obtaining module, configured to:
receiving a task query instruction, and determining a task to be queried which meets the query condition indicated by the task query instruction;
and acquiring the task information of the task to be queried and task execution information reflecting the execution condition of the task to be queried.
In an embodiment of the present application, for each monitoring point location, it is preset that: the execution object executes the execution sequence of the target task at each monitoring point;
the object judgment module comprises:
an object determining unit, configured to determine, for a first monitoring point location, according to a preset image of an execution object of the target task, whether the execution object exists in a monitoring image of the first monitoring point location, where an initial first monitoring point location is: the monitoring point position with the most front execution sequence; if yes, triggering a step circulation unit;
and the step circulating unit is used for updating the first monitoring point location to a next monitoring point location according to the execution sequence and triggering the object judging unit under the condition that all monitoring point locations used for supervising the execution condition of the target task are not traversed.
In a third aspect, an embodiment of the present application provides a task supervision system, where the system includes an image acquisition device and a network hard disk video recorder, the image acquisition device is deployed at each monitoring point, where:
the image acquisition equipment is used for acquiring monitoring images of all monitoring point positions;
the network video recorder is used for acquiring monitoring images acquired by each image acquisition device for monitoring the monitoring point positions for monitoring the execution condition of the target task under the condition that the target task is in an open state; judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task; and if the execution object exists in the monitoring image of each monitoring point location, determining that the execution object completes the target task.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor and the communication interface complete communication between the memory and the processor through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of the first aspect when executing a program stored in the memory.
In a fifth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the method steps of any one of the first aspect.
Embodiments of the present application further provide a computer program product containing instructions, which when run on a computer, cause the computer to perform any of the above task supervision methods.
The embodiment of the application has the following beneficial effects:
when the task monitoring scheme provided by the embodiment of the application is applied to task monitoring, a monitoring image of each monitoring point location for monitoring the execution condition of a target task can be obtained under the condition that the target task is in an open state, whether an execution object exists in the monitoring image of each monitoring point location is judged according to a preset image of an execution object of the target task, if yes, the execution object for executing the target task reaches each monitoring point location, and then the execution object can be determined to execute the target task at each monitoring point location. Therefore, if the execution object exists in the monitoring image of each monitoring point, the execution object can be determined to complete the target task. Therefore, whether the execution object executes the target task at each monitoring point position can be judged through the monitoring image of the monitoring point position. Whether the target task is executed at each monitoring point position by the execution object is judged without positioning, and task supervision errors caused by positioning errors are avoided. Therefore, by applying the task supervision scheme provided by the embodiment of the application, the task supervision accuracy can be improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a task supervision method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a target task provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram of a task monitoring system according to an embodiment of the present application;
fig. 4 is a schematic flowchart of a method for determining a supervision task according to an embodiment of the present application;
fig. 5 is a schematic flowchart of another supervision task determination method according to an embodiment of the present application;
fig. 6 is a schematic flowchart of another task supervision method according to an embodiment of the present application;
fig. 7 is a schematic flowchart of another task supervision method according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a task monitoring device according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a task monitoring system according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to improve the accuracy of task supervision, embodiments of the present application provide a task supervision method, apparatus, system, electronic device, and storage medium, which are described in detail below.
Referring to fig. 1, fig. 1 is a schematic flowchart of a task supervision method according to an embodiment of the present application. The method can be applied to NVR (Net Video Recorder), and the NVR can be connected with a plurality of image acquisition devices so as to obtain images acquired by the plurality of image acquisition devices and process and analyze the obtained images. The method can also be applied to electronic equipment such as desktop computers, notebook computers, tablet computers and the like.
The task supervision method comprises the following steps 101 to 103.
Step 101, acquiring a monitoring image of each monitoring point for monitoring the execution condition of the target task under the condition that the target task is in an open state.
The target task is a preset task which needs to be executed by the object at least one monitoring point. The target task may be a patrol task. For example, in a security scene, an execution object may be preset to patrol a plurality of areas to be patrolled in the scene, and each area to be patrolled corresponds to a monitoring point. The target task may also be a troubleshooting task. For example, in a scene that fault removal is required, an execution object may be preset to perform troubleshooting on each fault link, where each fault link corresponds to one monitoring point. Taking the troubleshooting of the urban drainage system as an example, the troubleshooting of each sewer well lid region of the object to be executed in the city is needed, and each sewer well lid region corresponds to one monitoring point location.
Referring to fig. 2, fig. 2 is a schematic diagram of a target task provided by an embodiment of the present application. The executive object who carries out this target task is the staff, each residential building of rectangular region sign in fig. 2, this target task need be carried out the object and patrol 1 # residential building, 2 # residential building, 3 # residential building, and wherein each residential building corresponds a monitoring point, and 1 # residential building corresponds monitoring point1, 2 # residential building corresponds monitoring point2, 3 # residential building corresponds monitoring point 3, therefore this target task is: and executing the patrol tasks at the monitoring points 1, 2 and 3 by the preset objects needing to be executed.
The target task has an on state and an off state. When the target task is in the open state, it is described that the execution object executes the target task, so that a monitoring image for monitoring each monitoring point location under the execution condition of the target task can be obtained, and the execution condition of the target task can be determined based on the obtained images. When the target task is in the closed state, it is described that the execution object does not execute the target task temporarily, so that it is not necessary to obtain a monitoring image of a monitoring point for supervising the execution condition of the target task.
Monitoring points involved in the execution process of each target task are different. For example, in the case of a patrol factory, different patrol tasks may include patrolling different production lines, which relate to different monitoring locations, and thus different patrol tasks relate to different monitoring locations. Assuming that the inspection task includes an inspection task1 for the assembly line and an inspection task2 for the packaging line, the monitoring points involved in the inspection task1 are: monitoring points of each workshop in the assembly line, wherein the monitoring points involved in the inspection task2 are as follows: and monitoring points of each workshop in the packaging production line.
The monitoring point locations for supervising the execution condition of the target task are the monitoring point locations involved by the target task. In order to obtain the execution condition of the execution object executing the target task at each monitoring point, a monitoring image of each monitoring point related to the target task needs to be obtained.
The execution object for executing the target task may be a worker, an intelligent robot, a vehicle, or the like. Taking the implementation of the patrol task in the security scene as an example, when the scene range is small, such as a cell, a school, a market and the like, the patrol task can be implemented by the staff in the scene; when the scene range is large, for example, the scene is a factory, a city street, etc., a patrol vehicle can perform a patrol task in the scene. For example, in a casino, a patrol person may drive a patrol car to patrol in various play areas, and in this case, the execution target performing the patrol task may be regarded as the patrol car. In an intelligent scenario, a patrol task may also be performed by the intelligent robot. Taking an inspection task for inspecting street hygiene as an example, an intelligent robot for picking up garbage can inspect various streets, and in this case, an execution object for executing the inspection task is the intelligent robot.
Each monitoring point location may be deployed with an image acquisition device for performing image acquisition on an area where the monitoring point location is located, so that when an execution object executes a target task at the monitoring point location, image acquisition may be performed on a condition that the execution object executes the target task at the monitoring point location.
The electronic device can continuously receive the monitoring images sent by each monitoring point. When the execution condition of the target task in the opening state needs to be supervised, a monitoring image of a monitoring point position for supervising the execution condition of the target task is obtained from the received monitoring image. Or when the execution condition of the target task in the open state needs to be supervised, the electronic device receives the monitoring image sent by the monitoring point for supervising the execution condition of the target task. The embodiments of the present application do not limit this.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a task supervision system according to an embodiment of the present application. The task supervision system comprises an NVR and image acquisition equipment of each monitoring point location, wherein each image acquisition equipment is used for carrying out image acquisition on the corresponding monitoring point location and sending the acquired monitoring image of the monitoring point location to the NVR, and the NVR is used for receiving the monitoring image of each monitoring point location and carrying out task supervision according to the monitoring image.
The monitoring image may be a frame image in the monitoring video of each monitoring point, or may be a continuous multi-frame image.
Specifically, for a target task, when the target task is in an open state, it is described that an execution object needs to execute tasks at each monitoring point related to the target task, so that a monitoring image of the monitoring point used for monitoring the execution condition of the target task can be obtained, and then the execution condition of the execution object at each monitoring point can be determined by using the obtained image.
And 102, judging whether an execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task.
Specifically, a preset image of an execution target for executing the target task may be obtained in advance, and the preset image may be a face image, a half-body image, a whole-body image, or the like of the execution target. For each monitoring point location, matching may be performed on the basis of the monitoring image of the monitoring point location and the preset image, and in the case that matching is successful, it is described that an object included in the monitoring image is an execution object, that is, it is described that the execution object comes through the monitoring point location, and it may be determined that the execution object executes a target task at the monitoring point location. The preset image library may be established for each target task, and is used for storing a preset image of an execution object for executing the target task.
In an embodiment of the application, in a case that the preset image is a face image of an execution object, the image acquisition device of each monitoring point location may capture a face image of each object passing through the monitoring point location to obtain a face image of each passing object. When the monitoring image is matched with the preset image, the face image of the monitoring point location and the face image of the preset execution object can be directly matched, and the matching efficiency is improved.
In an embodiment of the application, when the monitored image is matched with the preset image, the feature to be recognized of the object included in the monitored image can be extracted, the reference feature of the execution object included in the preset image is extracted, the similarity between the feature to be recognized and the reference feature is calculated, and the object included in the monitored image and the execution object included in the preset image can be considered to be the same object when the similarity reaches the preset similarity threshold. For example, when the object is a vehicle, a license plate number, a vehicle logo, a vehicle color, and the like of the vehicle included in the monitored image may be extracted as the feature to be recognized, and the feature of the vehicle in the preset image may be extracted as the reference feature, and when the similarity between the feature to be recognized and the reference feature reaches a preset similarity threshold, the vehicle in the monitored image and the vehicle in the preset image may be considered to be the same vehicle.
In an embodiment of the application, when the execution object is a worker, when the monitored image is matched with the preset image, the face recognition of the monitored image can be performed based on the preset image, and when the face of the monitored image and the face of the preset image are recognized as the same object, the object included in the monitored image can be considered as the execution object. When the human face is identified, the human face identification model trained in advance can be used for identifying the human face, and the human face identification can also be carried out in an image comparison mode.
In an embodiment of the present application, when the monitoring image is a series of video frames, a face model may be first performed on an object included in the monitoring image according to the series of video frames, and then face recognition may be performed based on the face model and a face in a preset image.
In an embodiment of the application, in a case that an execution object for executing a target task includes a plurality of objects, it is described that the target task needs a plurality of execution objects to execute, and an image of the plurality of objects may be included in the preset image. In this case, when determining whether the execution object exists in the monitored image, it may be determined whether the execution object included in each preset image exists in the objects included in the same frame image, that is, whether each execution object for executing the target task exists in the same frame image. If the target tasks exist, the execution objects can be considered to execute the target tasks at the monitoring points.
In another case, when it is difficult to include each execution object in the same frame of monitoring image, for example, if the execution objects are a plurality of vehicles, it is difficult to include a plurality of vehicles in the same frame of monitoring object. In this case, it may be determined whether each execution object for executing the target task exists in objects included in a series of monitoring images within a preset interval, that is, whether each execution object is included in a series of monitoring images within a preset interval. If the target tasks exist, the execution objects can be considered to execute the target tasks at the monitoring points.
The preset interval may be a preset time interval for acquiring the monitoring images, such as 30 seconds, 60 seconds, and the like, and a series of monitoring images whose acquisition time interval does not exceed the preset time interval may be obtained to determine whether each execution object exists in the series of monitoring images. Taking the preset time interval as 30 seconds as an example, the monitoring images collected at the monitoring point and having the collection time interval within 30 seconds can be obtained, and whether each execution object exists in the obtained images or not is judged.
The preset interval may also be a preset frame interval, such as 60 frames, 100 frames, etc. The monitoring images at the continuous preset frame number intervals collected at the monitoring point position can be obtained, and whether each execution object exists in the obtained images or not is judged.
And 103, if an execution object exists in the monitoring image of each monitoring point location, determining that the execution object completes the target task.
Specifically, the target task may relate to one or more monitoring points, and when it is determined that the execution object exists in the monitoring image of each related monitoring point, the execution object may be considered to have executed the target task at each related monitoring point, so that it may be determined that the execution object has completed the target task. For example, assuming that the target task is to perform a patrol task in a cell, taking as an example that the target task requires the execution target to patrol buildings 3 to 5, when it is determined that the execution target has performed the patrol tasks on buildings 3, 4, and 5, respectively, it can be considered that the execution target has completed the target task.
In an embodiment of the present application, when it is determined that an execution object completes a target task, a state of the target task may be set to a closed state; in the case where it is not determined that the execution object completes the target task, the target task may be considered to be in an on state.
Correspondingly, in the case that the execution object is determined not to execute the target task at each monitoring point for supervising the execution condition of the target task, it may be determined that the execution object does not complete the target task. In this case, the electronic device may generate a warning prompt message. Therefore, the execution object can be reminded to finish the target task conveniently, and a supervisor can be reminded to interfere with the execution object.
When the task monitoring scheme provided by the above embodiment is applied to task monitoring, a monitoring image of each monitoring point location for monitoring the execution condition of the target task can be obtained when the target task is in an open state, whether an execution object exists in the monitoring image of each monitoring point location is judged according to a preset image of an execution object of the target task, and if yes, it is indicated that the execution object for executing the target task reaches each monitoring point location, and thus it can be determined that the execution object executes the target task at each monitoring point location. Therefore, if the execution object exists in the monitoring image of each monitoring point, the execution object can be determined to complete the target task. Therefore, whether the execution object executes the target task at each monitoring point position can be judged through the monitoring image of the monitoring point position. Whether the target task is executed at each monitoring point position by the execution object is judged without positioning, and task supervision errors caused by positioning errors are avoided. Therefore, by applying the task supervision scheme provided by the embodiment, the task supervision accuracy can be improved.
In one embodiment of the present application, an execution time period may be preset for a target task. For example, the execution time period of the target task may be set to 14-00 per day, that is, the execution object needs to execute the target task at 14. The execution time period of the target task is 18-00 of every friday, namely the execution object needs to execute the target task at 18.
In the case where an execution time period may be preset for the target task, in the step 101, when the monitoring image is obtained, the monitoring image of each monitoring point for supervising the execution condition of the target task may be obtained in the case of the execution time period. Specifically, the current time may be obtained, and when the current time is within the execution time period, it is described that the execution object may be executing the target task, that is, the target task is in an open state, and in order to supervise the execution condition of the target task executed by the execution object, the monitoring images of the monitoring points for supervising the execution condition of the target task may be obtained.
When determining whether the execution object completes the target task, it may be determined whether the execution object executes the target task at each monitoring point within the execution time period, if so, the execution object may be considered to complete the target task, and if not, the execution object may be considered to not complete the target task or complete the target task overtime.
In an embodiment of the present application, in a case that there are multiple target tasks, an execution time period may be set for each target task, and it is determined whether to supervise each target task based on the execution time period of each target task. Specifically, for each target task, when the current time is within the execution time period of the target task, the execution condition of the target task may be supervised, and when the current time is not within the execution time period of the target task, the execution condition of the target task does not need to be supervised.
Referring to fig. 4, fig. 4 is a schematic flowchart of a method for determining a supervision task according to an embodiment of the present application, where the method includes the following steps 401 to 403.
Step 401, obtaining current time and obtaining execution time periods of each unsupervised target task;
step 402, traversing each unsupervised target task, and sequentially judging whether the current time is within the execution time period of each target task;
and 403, starting to supervise the target task of which the current time is within the corresponding execution time period, and returning to the step 401.
Specifically, for each target task, when the current time is within the execution time period of the target task, the target task may be considered to be in an open state, and in order to obtain the execution condition of the target task at each monitoring point by the execution object, the target task may be opened to be supervised.
The method can continuously judge the current time and the execution time period corresponding to each target task which is not started to supervise, so that the supervision on the target task can be started in time when the execution time period of the target task is reached, the monitoring image of the monitoring point position related to the target task can be obtained in time, the completeness of supervision on the target task is ensured, and the reduction of task supervision accuracy caused by the loss of the monitoring image is avoided.
Referring to fig. 5, fig. 5 is a schematic flowchart of another supervision task determination method provided in the embodiment of the present application, where the method includes the following steps 501 to 503.
Step 501, obtaining current time and obtaining execution time periods for starting each target task for supervision;
step 502, traversing each target task started for supervision, and sequentially judging whether the current time is within the execution time period of each target task;
and 503, stopping monitoring the target task of which the current time is not within the corresponding execution time period, and returning to the step 501.
Specifically, for each target task, in a case that the current time is not within the execution time period of the target task, the target task may be considered to be in an off state, and therefore, the target task may be stopped from being supervised.
The method can continuously judge the current time and the execution time period corresponding to each target task for starting supervision, thus the supervision of the target task can be stopped in time when the execution time period of the target task is exceeded, the supervision of the overtime target task is avoided, the operation resource of the electronic equipment is saved, the timeliness of the supervision of the target task can be ensured, the target task cannot be considered to be completed by the execution object when the execution object completes the target task overtime, and the accuracy of task supervision can be improved.
In an embodiment of the application, a task opening instruction/task closing instruction sent by a user may be received, and when a task opening instruction for a target task is received, the target task may be considered to be in an open state, a monitoring image of each monitoring point location for monitoring the execution condition of the target task is obtained, and the obtained monitoring image is used to monitor the target task. When a task closing instruction for the target task is received, the target task is considered to be finished, so that the monitoring images of the monitoring points for monitoring the target task execution condition are stopped from being obtained, and the target task is not monitored any more. The user can send the instruction to the electronic device by operating the electronic device.
In an embodiment of the application, for step 102, in a case that it is determined that an execution object exists in a monitored image of each monitored point, it may also be recorded that the execution condition of the target task at the monitored point is executed. Specifically, the execution conditions of each monitoring point for supervising the execution conditions of the target task may be recorded, where the execution conditions may include unexecuted and executed. The initial value of the execution condition of each monitoring point is not executed, and the execution condition of the monitoring point can be changed into executed under the condition that the execution object is determined to execute the target task at the monitoring point. By recording the execution condition of each monitoring point location, the execution condition of the target task can be conveniently checked subsequently.
In an embodiment of the present application, for step 102, for each monitoring point, in a case that it is determined that an execution object exists in a monitoring image of the monitoring point, an image of the execution object when the execution object executes a target task at the monitoring point may also be recorded.
The monitoring image of the monitoring point location can be matched with the preset image, and under the condition of successful matching, the execution object is determined to execute the target task at the monitoring point location, which means that the execution object exists in the successfully matched monitoring image, so that the successfully matched monitoring image can be recorded, and thus, when the task supervision result is inquired subsequently, the recorded image can be checked. Further, since it is determined that the execution object exists in the recorded image at the time of matching, it is possible to intuitively view the situation where the execution object executes the target task at the time of viewing the recorded image.
The recorded images may also be a series of images of the execution object when performing the target task at the monitored site. Specifically, images with preset frame numbers adjacent to the images successfully matched may be recorded, or a series of video frames adjacent to the acquisition time of the images successfully matched may be recorded. Therefore, the recorded image is richer in information, and a user can check the task supervision result conveniently.
Referring to fig. 6, fig. 6 is a schematic flowchart of another task supervision method provided in the embodiment of the present application, where the method further includes the following steps 104 and 105.
And 104, receiving a task query instruction, and determining the task to be queried which meets the query condition indicated by the task query instruction.
The task query instruction may be a task query instruction sent to the electronic device by a user operating the electronic device. The task query instruction may carry query conditions, and the query conditions may be a query task to be queried, a query time period, a query monitoring point location, and the like.
For example, if the query condition is a query Task, the Task query instruction may carry an identifier of a target Task to be queried, where the identifier of the target Task may be "Task1", "Task2", or the like, or may be "R1", "R2", or the like.
Assuming that the query condition is a query time period, the task query instruction may carry a time period to be queried, where the time period may be "8.
If the query condition is to query the monitored Point, the task query instruction may carry an identifier of the monitored Point to be queried, where the identifier of the monitored Point may be "D1", "D2", or the like, or may also be "Point1", "Point2", or the like.
Under the condition of receiving the task query instruction, query conditions carried in the task query instruction can be obtained, and then a target task meeting the query conditions is determined to be used as a task to be queried.
Under the condition that the query condition is the query Task, the target Task corresponding to the query Task can be directly determined to be the Task to be queried, for example, if the query condition is "Task1", the electronic device can directly take "Task1" as the Task to be queried;
under the condition that the query condition is the query time period, the target task in the state of being in the open state within the query time period can be searched and used as the task to be queried. Under the condition that an execution time period is set for each target task, the target task of which the corresponding execution time period is within the query time period range can be searched and used as the task to be queried;
under the condition that the query condition is to query the monitoring point location, each target task used for supervision by the query monitoring point location can be searched and used as a task to be queried. Specifically, different target tasks relate to different monitoring points, and one or more target tasks may be related to the same monitoring point. For example, assume that the monitoring points for supervising the execution of target task X1 include K1, K2, and K3, and the monitoring points for supervising the execution of target task X2 include K1, K5, and K7, where the target task for supervising the monitoring points includes X1 and X2. In the case where the query condition is K1, the target tasks X1 and X2 may be regarded as the tasks to be queried.
And 105, acquiring task information of the task to be queried and task execution information reflecting the task execution condition of the task to be queried.
The task information may include at least one of the following information: the query method comprises the following steps of object information of an execution object for executing a task to be queried, point location information of monitoring point locations for monitoring the task to be queried, an execution time segment corresponding to the task to be queried and the like. The object information may be the number of execution objects, a preset image, and the like, and the point location information may be location information of a monitoring point location, and the like.
The task execution information may include at least one of the following information: the recorded state of the monitoring point location for supervising the task to be queried, the recorded image of the execution object when executing the task to be queried and the like. The status of the monitoring point includes executed and unexecuted.
Specifically, after the task to be queried is determined, task information and task execution information of the task to be queried can be obtained and displayed, so that a user can conveniently check the task information and the task execution information.
In an embodiment of the present application, for each monitoring point, the following are preset: and executing the execution sequence of the target task by the execution object at each monitoring point. For example, assuming that the target task is to patrol a school, the monitoring points for monitoring the patrol task include M1, M2, and M3, where the monitoring point M1 corresponds to the teaching building No. 1, the monitoring point M2 corresponds to the teaching building No. 2, and the monitoring point M3 corresponds to the teaching building No. 3, and it may be preset that the execution objects sequentially store the teaching building No. 1, the teaching building No. 2, and the teaching building No. 3, and the execution sequence of the monitoring points M1, M2, and M3 is M1, M2, and M3.
Referring to fig. 7, fig. 7 is a flowchart illustrating a task supervision method according to another embodiment of the present application, where the method includes the following steps 1021 to 1022.
Step 1021, for the first monitoring point location, according to the preset image of the execution object of the target task, determining whether an execution object exists in the monitoring image of the first monitoring point location, if yes, executing step 1022.
Wherein, the initial first monitoring point location is: the monitoring point position with the first execution sequence. For example, assuming that the execution order of the monitored points is M1, M2, M3, the initial first monitored point is M1.
Specifically, when the determination is performed, the determination may be performed only on the monitoring image of the first monitoring point, and a method for determining whether the execution object exists in the monitoring image is similar to the determination method in step 102, which is not described herein again.
In step 1022, in the case that all the monitored point locations for supervising the execution condition of the target task are not traversed, the first monitored point location is updated to the next monitored point location according to the execution sequence, and the process returns to step 1021.
Specifically, when the execution object is determined to exist in the monitoring image of the first monitoring point location, the execution object may be considered to reach the first monitoring point location, and it may be further determined that the execution object executes the target task at the first monitoring point location. Under the condition that all monitoring points used for supervising the execution condition of the target task are not traversed, because each monitoring point has an execution sequence, under the condition that the execution object executes the target task at the first monitoring point, the execution object is considered to need to execute the target task to the next monitoring point according to the execution sequence, so that the monitoring image of the current first monitoring point can not be judged any more, the first monitoring point is updated to be the next monitoring point, and the judgment is carried out aiming at the new monitoring image of the first monitoring point until all monitoring points used for supervising the execution condition of the target task are traversed.
Therefore, the electronic equipment only judges the monitoring image of one monitoring point position at the same time, the electronic equipment is prevented from judging the monitoring images of a plurality of monitoring point positions at the same time, and the consumption of computing resources of the electronic equipment can be reduced.
In an embodiment of the present application, in a case that there is no duplicate monitoring point location in the monitoring point locations for monitoring the target task execution, it is described that the execution object does not need to repeatedly pass through the monitoring point locations when executing the target task, and therefore, when it is determined that the execution object executes the target task at each monitoring point location, the execution object may be considered to complete the target task. For example, assume that the target task is: the patrolling personnel can patrol the first layer, the second layer and the third layer of the market, and under the condition that the patrolling personnel is determined to patrol the first layer, the second layer and the third layer respectively, the patrolling personnel can be determined to complete the patrolling task.
And under the condition that repeated monitoring points exist in the monitoring points for supervising the execution condition of the target task, indicating that the execution object needs to pass through the monitoring points repeatedly in the process of executing the target task. In this case, the number of times of executing each monitoring point in the target task may be preset, and when it is determined that the number of times of executing the target task at each monitoring point by the execution object meets the requirement, it is determined that the execution object completes the target task. For example, assume that the target task is: the patrol personnel circularly patrol the area A, the area B and the area C of the market for 3 times, namely the execution times of the monitoring points aiming at the area A, the area B and the area C in the patrol task are respectively 3 times, under the condition, the patrol personnel can be determined to complete the patrol task under the condition that the times of the patrol personnel for respectively executing the patrol task on the monitoring points of the area A, the area B and the area C reach 3 times.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a task monitoring device according to an embodiment of the present application, where the task monitoring device includes:
an image obtaining module 801, configured to obtain, when a target task is in an open state, a monitoring image of each monitoring point location for monitoring an execution condition of the target task;
an object determining module 802, configured to determine whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task;
and the task supervision module 803 is configured to determine that the execution object completes the target task if the execution object exists in the monitoring image of each monitoring point location.
In one embodiment of the application, an execution time period is preset for the target task;
the image obtaining module 801 is specifically configured to:
and under the condition of the execution time period, acquiring a monitoring image of each monitoring point for supervising the execution condition of the target task.
In one embodiment of the present application, the apparatus further comprises:
the point location recording module is used for recording the execution condition of the target task at each monitoring point location as executed under the condition that the execution object exists in the monitoring image of the monitoring point location; and/or
And the image recording module is used for recording an image of the execution object in the monitoring point location when the execution object exists in the monitoring image of each monitoring point location under the condition of judging that the execution object exists in the monitoring image of the monitoring point location.
In an embodiment of the present application, the apparatus further includes an information obtaining module, configured to:
receiving a task query instruction, and determining a task to be queried which meets the query condition indicated by the task query instruction;
and acquiring the task information of the task to be inquired and task execution information reflecting the execution condition of the task to be inquired.
In an embodiment of the present application, for each monitoring point location, it is preset that: the execution object executes the execution sequence of the target task at each monitoring point;
the object determination module 802 includes:
an object determining unit, configured to determine, for a first monitoring point location, according to a preset image of an execution object of the target task, whether the execution object exists in a monitoring image of the first monitoring point location, where an initial first monitoring point location is: the monitoring point position with the most front execution sequence; if yes, triggering a step circulation unit;
and the step circulating unit is used for updating the first monitoring point location to a next monitoring point location according to the execution sequence and triggering the object judging unit under the condition that all monitoring point locations used for supervising the execution condition of the target task are not traversed.
Referring to fig. 9, fig. 9 is a schematic structural diagram of a task supervision system provided in an embodiment of the present application, where the system includes an image acquisition device 901 and a network hard disk video recorder 902, where the image acquisition device 901 is deployed at each monitoring point, where:
the image acquisition device 901 is configured to acquire a monitoring image of each monitoring point location;
the network hard disk video recorder 902 is configured to obtain, when a target task is in an on state, a monitoring image acquired by each image acquisition device 901 of a monitoring point location for supervising an execution condition of the target task; judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task; and if the execution object exists in the monitoring image of each monitoring point, determining that the execution object completes the target task.
When the task monitoring scheme provided by the above embodiment is applied to task monitoring, a monitoring image of each monitoring point location for monitoring the execution condition of a target task can be obtained when the target task is in an open state, whether an execution object exists in the monitoring image of each monitoring point location is judged according to a preset image of an execution object of the target task, if so, it is indicated that the execution object for executing the target task reaches each monitoring point location, and thus it can be determined that the execution object executes the target task at each monitoring point location. Therefore, if the execution object exists in the monitoring image of each monitoring point, the execution object can be determined to complete the target task. Therefore, whether the execution object executes the target task at each monitoring point position can be judged through the monitoring image of the monitoring point position. Whether the target task is executed at each monitoring point position by the execution object is judged without positioning, and task supervision errors caused by positioning errors are avoided. Therefore, the task supervision method provided by the embodiment can improve the task supervision accuracy.
The embodiment of the present application further provides an electronic device, as shown in fig. 10, which includes a processor 1001, a communication interface 1002, a memory 1003 and a communication bus 1004, wherein the processor 1001, the communication interface 1002 and the memory 1003 complete mutual communication through the communication bus 1004,
a memory 1003 for storing a computer program;
the processor 1001 is configured to implement any one of the above task supervision methods when executing the program stored in the memory 1003.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In yet another embodiment provided by the present application, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any of the task supervision methods described above.
In yet another embodiment provided by the present application, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the task supervision methods of the above embodiments.
When the task monitoring scheme provided by the above embodiment is applied to task monitoring, a monitoring image of each monitoring point location for monitoring the execution condition of a target task can be obtained when the target task is in an open state, whether an execution object exists in the monitoring image of each monitoring point location is judged according to a preset image of an execution object of the target task, if so, it is indicated that the execution object for executing the target task reaches each monitoring point location, and thus it can be determined that the execution object executes the target task at each monitoring point location. Therefore, if the execution object exists in the monitoring image of each monitoring point, the execution object can be determined to complete the target task. Therefore, whether the execution object executes the target task at each monitoring point position can be judged through the monitoring image of the monitoring point position. Whether the target task is executed at each monitoring point position by the execution object is judged without positioning, and task supervision errors caused by positioning errors are avoided. Therefore, the task supervision method provided by the embodiment can improve the task supervision accuracy.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, apparatus embodiments, system embodiments, electronic device embodiments, computer-readable storage medium embodiments, and computer program product embodiments are substantially similar to method embodiments and therefore are described in greater detail herein with reference to the accompanying description of method embodiments.
The above description is only for the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.

Claims (9)

1. A task supervision method, characterized in that the method comprises:
under the condition that a target task is in an open state, acquiring a monitoring image of each monitoring point for monitoring the execution condition of the target task;
judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task;
if the execution object exists in the monitoring image of each monitoring point location, determining that the execution object completes the target task;
the method comprises the following steps of presetting: the execution object executes the execution sequence of the target task at each monitoring point;
the determining whether the execution object exists in the monitoring image of each monitoring point location according to the preset image of the execution object of the target task includes:
for a first monitoring point location, judging whether the execution object exists in the monitoring image of the first monitoring point location according to a preset image of the execution object of the target task, wherein the initial first monitoring point location is as follows: the monitoring point position with the most front execution sequence;
if so, updating the first monitoring point location to a next monitoring point location according to the execution sequence, returning to the first monitoring point location, and judging whether the execution object exists in the monitoring image of the first monitoring point location according to a preset image of the execution object of the target task.
2. The method according to claim 1, characterized in that an execution time period is preset for the target task;
the acquiring of the monitoring image of each monitoring point location for monitoring the execution condition of the target task under the condition that the target task is in the open state comprises the following steps:
and under the condition of the execution time period, acquiring a monitoring image of each monitoring point for supervising the execution condition of the target task.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
for each monitoring point location, recording the execution condition of the target task at the monitoring point location as executed under the condition that the execution object exists in the monitoring image of the monitoring point location; and/or
And for each monitoring point location, recording an image of the execution object when the target task is executed at the monitoring point location under the condition that the execution object exists in the monitoring image of the monitoring point location.
4. The method according to claim 1 or 2, characterized in that the method further comprises:
receiving a task query instruction, and determining a task to be queried which meets the query condition indicated by the task query instruction;
and acquiring the task information of the task to be inquired and task execution information reflecting the execution condition of the task to be inquired.
5. A task supervision apparatus, characterized in that the apparatus comprises:
the image acquisition module is used for acquiring a monitoring image of each monitoring point position for monitoring the execution condition of the target task under the condition that the target task is in an open state;
the object judgment module is used for judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task;
the task supervision module is used for determining that the execution object completes the target task if the execution object exists in the monitoring image of each monitoring point location;
the method comprises the following steps of presetting: the execution object executes the execution sequence of the target task at each monitoring point;
the object judgment module comprises:
an object determining unit, configured to determine, for a first monitoring point location, according to a preset image of an execution object of the target task, whether the execution object exists in a monitoring image of the first monitoring point location, where an initial first monitoring point location is: the monitoring point position with the most front execution sequence; if yes, triggering a step circulation unit;
and the step circulating unit is used for updating the first monitoring point location to a next monitoring point location according to the execution sequence and triggering the object judging unit.
6. The apparatus of claim 5, further comprising:
the point location recording module is used for recording the execution condition of the target task at each monitoring point location as executed under the condition that the execution object exists in the monitoring image of the monitoring point location; and/or
And the image recording module is used for recording an image of the execution object in the monitoring point location when the execution object exists in the monitoring image of each monitoring point location under the condition of judging that the execution object exists in the monitoring image of the monitoring point location.
7. The task supervision system is characterized by comprising image acquisition equipment and a network hard disk video recorder, wherein the image acquisition equipment is deployed at each monitoring point, and the task supervision system comprises:
the image acquisition equipment is used for acquiring monitoring images of all monitoring point positions;
the network hard disk video recorder is used for acquiring monitoring images acquired by each image acquisition device for monitoring the monitoring point positions for monitoring the execution condition of the target task under the condition that the target task is in an open state; judging whether the execution object exists in the monitoring image of each monitoring point location according to a preset image of the execution object of the target task; if the execution object exists in the monitoring image of each monitoring point location, determining that the execution object completes the target task; the method comprises the following steps of presetting: the execution object executes the execution sequence of the target task at each monitoring point; the determining whether the execution object exists in the monitoring image of each monitoring point location according to the preset image of the execution object of the target task includes: for a first monitoring point location, judging whether the execution object exists in the monitoring image of the first monitoring point location according to a preset image of the execution object of the target task, wherein the initial first monitoring point location is as follows: monitoring point positions at the most front of the execution sequence; if so, updating the first monitoring point location to a next monitoring point location according to the execution sequence, returning to the first monitoring point location, and judging whether the execution object exists in the monitoring image of the first monitoring point location according to a preset image of the execution object of the target task.
8. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of claims 1 to 4 when executing a program stored in the memory.
9. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 4.
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