CN114118783A - Personnel allocation method and system based on smart city monitoring - Google Patents

Abstract

The invention provides a personnel allocation method and a system based on smart city monitoring, and relates to the technical field of data processing. In the invention, service request management is carried out on a plurality of city monitoring terminal devices so as to control whether each city monitoring terminal device carries out monitoring or not; determining each controlled city monitoring terminal device to be a first city monitoring terminal device, and performing first monitoring personnel allocation processing on a city area corresponding to each first city monitoring terminal device; and determining each city monitoring terminal device which is not controlled to be monitored as a second city monitoring terminal device, and performing second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device, wherein the second monitoring personnel allocation processing is different from the first monitoring personnel allocation processing. Based on the method, the problem of poor distribution management effect on monitoring personnel in the prior art can be solved.

Description

Personnel allocation method and system based on smart city monitoring

Technical Field

The invention relates to the technical field of data processing, in particular to a personnel allocation method and a system based on smart city monitoring.

Background

With the continuous development of computer technology, data processing technology has been improved, and therefore, the application range of data processing technology has gradually increased. For example, based on the construction requirement and implementation of a smart city, city monitoring needs to be performed based on a data processing technology, for example, monitoring such as video acquisition is performed by deploying more city monitoring terminal devices. In the prior art, since many city monitoring terminal devices are deployed, it is necessary to monitor whether each city monitoring terminal device performs service management, so as to avoid the problems of resource waste and the like. In addition, in the prior art, monitoring personnel are generally allocated to each urban area to perform manual monitoring, such as command, but in the prior art, manual allocation is performed according to human experience, so that the allocation effect is poor.

Disclosure of Invention

In view of the above, the present invention provides a method and a system for allocating people based on smart city monitoring to solve the problem of poor allocation management effect for monitoring people in the prior art.

In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:

a personnel allocation method based on smart city monitoring is applied to a city monitoring server, the city monitoring server is in communication connection with a plurality of city monitoring terminal devices, and the personnel allocation method based on smart city monitoring comprises the following steps:

after historical city monitoring videos sent by each city monitoring terminal device in the city monitoring terminal devices are obtained to obtain a plurality of historical city monitoring videos corresponding to the city monitoring terminal devices, service request management is carried out on the city monitoring terminal devices corresponding to the historical city monitoring videos to control whether each city monitoring terminal device carries out monitoring or not, wherein each historical city monitoring video is obtained by collecting a corresponding city area in historical time based on the corresponding city monitoring terminal device, and each historical city monitoring video comprises a plurality of frames of historical city monitoring video frames;

determining each city monitoring terminal device controlled to be monitored as a first city monitoring terminal device, and performing first monitoring personnel allocation processing on the city area corresponding to each first city monitoring terminal device so as to perform manual monitoring on the corresponding city area;

and determining each city monitoring terminal device which is not controlled to be monitored as a second city monitoring terminal device, and performing second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device so as to perform manual monitoring on the corresponding city area, wherein the second monitoring personnel allocation processing is different from the first monitoring personnel allocation processing.

In some preferred embodiments, in the method for allocating staff based on smart city monitoring, the step of determining each controlled city monitoring terminal device as a first city monitoring terminal device, and performing first monitoring staff allocation processing on the city area corresponding to each first city monitoring terminal device to perform manual monitoring on the corresponding city area includes:

determining each city monitoring terminal device which is controlled to monitor as a first city monitoring terminal device, and determining whether at least one first city monitoring terminal device exists;

when the at least one first city monitoring terminal device exists, performing first monitoring person distribution processing on the at least one first city monitoring terminal device based on a first monitoring person distribution rule configured in advance so as to perform manual monitoring on a corresponding city area.

In some preferred embodiments, in the smart city monitoring-based staff allocation method, when the at least one first city monitoring terminal device exists, the step of performing first monitoring staff allocation processing on the existing at least one first city monitoring terminal device based on a first monitoring staff allocation rule configured in advance to perform manual monitoring on the corresponding city area includes:

when the at least one first city monitoring terminal device exists, determining the distribution amount information of the monitoring personnel corresponding to each first city monitoring terminal device based on the historical city monitoring video corresponding to each first city monitoring terminal device;

and aiming at each first city monitoring terminal device in the at least one first city monitoring terminal device, calculating the product between the monitoring personnel distribution amount information corresponding to the first city monitoring terminal device and a first pre-configured distribution coefficient, and distributing the corresponding number of monitoring personnel to the city area corresponding to the first city monitoring terminal device based on the product so as to perform manual monitoring.

In some preferred embodiments, in the method for allocating people based on smart city monitoring, when at least one first city monitoring terminal device exists, the step of determining the allocation amount information of the monitored people corresponding to each first city monitoring terminal device based on the historical city monitoring video corresponding to each first city monitoring terminal device includes:

when the at least one first city monitoring terminal device exists and the number of the first city monitoring terminal devices is multiple, calculating video frame relevancy information of the historical city monitoring videos corresponding to the two first city monitoring terminal devices aiming at every two first city monitoring terminal devices in the multiple first city monitoring terminal devices, and calculating object relevancy information of the two first city monitoring terminal devices on the monitored object based on the two historical city monitoring videos corresponding to the two first city monitoring terminal devices;

for every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices, calculating to obtain the area relevancy information of the two first city monitoring terminal devices about the area distance based on the two city areas corresponding to the two first city monitoring terminal devices, and calculating to obtain the road condition relevancy information of the two first city monitoring terminal devices about the area road condition based on the two city areas corresponding to the two first city monitoring terminal devices;

for every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices, fusing the video frame relevancy information, the object relevancy information, the area relevancy information and the road condition relevancy information corresponding to the two first city monitoring terminal devices to obtain fusion relevancy information corresponding to the two first city monitoring terminal devices, and clustering the plurality of first city monitoring terminal devices based on the fusion relevancy information corresponding to every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices to obtain at least one corresponding device clustering set, wherein each device clustering set in the at least one device clustering set comprises at least one first city monitoring terminal device;

for each equipment cluster set in the at least one equipment cluster set, obtaining a monitoring object flow value corresponding to the equipment cluster set based on a historical city monitoring video corresponding to each first city monitoring terminal device included in the equipment cluster set, and determining monitoring staff distribution amount information corresponding to each first city monitoring terminal device included in the equipment cluster set based on the monitoring object flow value, wherein the monitoring staff distribution amount information and the monitoring object flow value have a positive correlation relationship.

In some preferred embodiments, in the method for allocating staff based on smart city monitoring, the step of determining each city monitoring terminal device that is not controlled to perform monitoring as a second city monitoring terminal device, and performing second monitoring staff allocation processing on the city area corresponding to each second city monitoring terminal device to perform manual monitoring on the corresponding city area includes:

determining each city monitoring terminal device which is not controlled to monitor as a second city monitoring terminal device, and determining whether at least one second city monitoring terminal device exists;

and when the at least one second city monitoring terminal device exists, performing second monitoring personnel allocation processing on the at least one second city monitoring terminal device based on a second monitoring personnel allocation rule configured in advance so as to perform manual monitoring on the corresponding city area.

In some preferred embodiments, in the method for allocating staff based on smart city monitoring, when the at least one second city monitoring terminal device exists, the step of performing second monitoring staff allocation processing on the existing at least one second city monitoring terminal device based on a second monitoring staff allocation rule configured in advance to perform manual monitoring on the corresponding city area includes:

when the at least one second city monitoring terminal device exists, determining the distribution amount information of the monitoring personnel corresponding to each second city monitoring terminal device based on the historical city monitoring video corresponding to each second city monitoring terminal device;

and aiming at each second city monitoring terminal device in the at least one second city monitoring terminal device, calculating the product between the monitoring personnel distribution amount information corresponding to the second city monitoring terminal device and a second distribution coefficient which is configured in advance, and distributing the corresponding number of monitoring personnel to the city area corresponding to the second city monitoring terminal device based on the product so as to perform manual monitoring.

In some preferred embodiments, in the method for allocating people based on smart city monitoring, when there is at least one second city monitoring terminal device, the step of determining the distribution amount information of the monitored people corresponding to each second city monitoring terminal device based on the historical city monitoring video corresponding to each second city monitoring terminal device includes:

when the at least one second city monitoring terminal device exists and the number of the second city monitoring terminal devices is multiple, calculating area relevancy information of the two second city monitoring terminal devices about the area distance according to two city areas corresponding to the two second city monitoring terminal devices aiming at every two second city monitoring terminal devices in the multiple second city monitoring terminal devices, and calculating road condition relevancy information of the two second city monitoring terminal devices about the area road condition according to the two city areas corresponding to the two second city monitoring terminal devices;

for every two second city monitoring terminal devices in the plurality of second city monitoring terminal devices, fusing the area relevancy information and the road condition relevancy information corresponding to the two second city monitoring terminal devices to obtain fused relevancy information corresponding to the two second city monitoring terminal devices, and clustering the plurality of second city monitoring terminal devices based on the fused relevancy information corresponding to every two second city monitoring terminal devices in the plurality of second city monitoring terminal devices to obtain at least one corresponding device cluster, wherein each device cluster in the at least one device cluster comprises at least one second city monitoring terminal device;

for each equipment cluster in the at least one equipment cluster, obtaining a monitoring object flow value corresponding to the equipment cluster based on historical city monitoring videos corresponding to each second city monitoring terminal equipment included in the equipment cluster, and determining monitoring staff allocation amount information corresponding to each first city monitoring terminal equipment included in the equipment cluster based on the monitoring object flow value, wherein the monitoring staff allocation amount information and the monitoring object flow value have positive correlation.

The embodiment of the invention also provides a personnel distribution system based on smart city monitoring, which is applied to a city monitoring server, wherein the city monitoring server is in communication connection with a plurality of city monitoring terminal devices, and the personnel distribution system based on smart city monitoring comprises:

a service request management module, configured to, after obtaining historical city monitoring videos sent by each of the multiple city monitoring terminal devices to obtain multiple historical city monitoring videos corresponding to the multiple city monitoring terminal devices, perform service request management on the multiple city monitoring terminal devices corresponding to the multiple historical city monitoring videos to control whether each city monitoring terminal device performs monitoring, where each historical city monitoring video is obtained by collecting a corresponding city area in historical time based on the corresponding city monitoring terminal device, and each historical city monitoring video includes multiple frames of historical city monitoring video frames;

the first monitoring personnel allocation module is used for determining each controlled city monitoring terminal device to be a first city monitoring terminal device and performing first monitoring personnel allocation processing on the city area corresponding to each first city monitoring terminal device so as to perform manual monitoring on the corresponding city area;

and the second monitoring personnel allocation module is used for determining each city monitoring terminal device which is not controlled to be monitored as a second city monitoring terminal device, and performing second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device so as to perform manual monitoring on the corresponding city area.

In some preferred embodiments, in the staff allocation system based on smart city monitoring, the first monitoring staff allocation module is specifically configured to:

determining each city monitoring terminal device which is controlled to monitor as a first city monitoring terminal device, and determining whether at least one first city monitoring terminal device exists;

when the at least one first city monitoring terminal device exists, performing first monitoring person distribution processing on the at least one first city monitoring terminal device based on a first monitoring person distribution rule configured in advance so as to perform manual monitoring on a corresponding city area.

In some preferred embodiments, in the staff allocation system based on smart city monitoring, the second monitoring staff allocation module is specifically configured to:

determining each city monitoring terminal device which is not controlled to monitor as a second city monitoring terminal device, and determining whether at least one second city monitoring terminal device exists;

and when the at least one second city monitoring terminal device exists, performing second monitoring personnel allocation processing on the at least one second city monitoring terminal device based on a second monitoring personnel allocation rule configured in advance so as to perform manual monitoring on the corresponding city area.

After obtaining a plurality of historical city monitoring videos corresponding to a plurality of city monitoring terminal devices, the method and system for allocating staff based on smart city monitoring provided by the embodiments of the present invention may first perform service request management on the plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos to control whether each city monitoring terminal device performs monitoring, and then, on one hand, may determine each controlled city monitoring terminal device as a first city monitoring terminal device, and perform first monitoring staff allocation processing on a city area corresponding to each first city monitoring terminal device to perform manual monitoring on the corresponding city area, and on the other hand, may determine each uncontrolled city monitoring terminal device as a second city monitoring terminal device, and the second monitoring personnel allocation processing is carried out on the city area corresponding to each second city monitoring terminal device so as to carry out manual monitoring on the corresponding city area, namely different personnel allocation is carried out based on different conditions, thus the effect of allocation management can be improved, and the problem of poor effect of allocation management on the monitoring personnel in the prior art is solved.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

Fig. 1 is a block diagram of a city monitoring server according to an embodiment of the present invention.

Fig. 2 is a schematic flowchart illustrating steps included in a method for allocating people based on smart city monitoring according to an embodiment of the present invention.

Fig. 3 is a schematic diagram illustrating modules included in a staff allocation system based on smart city monitoring according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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 invention.

As shown in fig. 1, an embodiment of the present invention provides a city monitoring server. Wherein the city monitoring server may include a memory and a processor.

In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory can have stored therein at least one software function (computer program) which can be present in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the method for allocating people based on smart city monitoring according to an embodiment of the present invention (as described later).

Illustratively, in an alternative example, the Memory may be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read Only Memory (PROM), Erasable Read Only Memory (EPROM), electrically Erasable Read Only Memory (EEPROM), and the like. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.

Illustratively, in an alternative example, the structure shown in fig. 1 is only an illustration, and the city monitoring server may further include more or fewer components than those shown in fig. 1, or have a different configuration from that shown in fig. 1, for example, may include a communication unit for information interaction with other devices (such as city monitoring terminal devices for monitoring).

With reference to fig. 2, an embodiment of the present invention further provides a method for allocating people based on smart city monitoring, which can be applied to the city monitoring server. The method steps defined by the flow related to the intelligent city monitoring-based personnel allocation method can be realized by the city monitoring server, and the city monitoring server is in communication connection with a plurality of city monitoring terminal devices.

The specific process shown in FIG. 2 will be described in detail below.

Step S100, performing service request management on a plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos to control whether each city monitoring terminal device performs monitoring.

In the embodiment of the present invention, the city monitoring server may perform service request management on the plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos after acquiring the historical city monitoring videos sent by each of the plurality of city monitoring terminal devices to obtain the plurality of historical city monitoring videos corresponding to the plurality of city monitoring terminal devices, so as to control whether each of the city monitoring terminal devices performs monitoring. And each historical city monitoring video is obtained by acquiring a corresponding city area in historical time based on the corresponding city monitoring terminal equipment, and each historical city monitoring video comprises a plurality of historical city monitoring video frames.

Step S200, determining each city monitoring terminal device controlled to be monitored as a first city monitoring terminal device, and performing first monitoring personnel allocation processing on the city area corresponding to each first city monitoring terminal device.

In the embodiment of the present invention, the city monitoring server may determine each controlled city monitoring terminal device as a first city monitoring terminal device, and perform first monitoring personnel allocation processing on the city area corresponding to each first city monitoring terminal device, so as to perform manual monitoring on the corresponding city area.

Step S300, determining each city monitoring terminal device which is not controlled to be monitored as a second city monitoring terminal device, and performing second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device.

In the embodiment of the present invention, the city monitoring server may determine each uncontrolled city monitoring terminal device as a second city monitoring terminal device, and perform second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device, so as to perform manual monitoring on the corresponding city area. Wherein the second monitoring person allocation process is different from the first monitoring person allocation process.

Based on the above, after obtaining the historical city monitoring video sent by each of the multiple city monitoring terminal devices to obtain multiple historical city monitoring videos corresponding to the multiple city monitoring terminal devices, the service request management may be performed on the multiple city monitoring terminal devices corresponding to the multiple historical city monitoring videos to control whether each city monitoring terminal device performs monitoring, and then, on one hand, each controlled city monitoring terminal device may be determined as a first city monitoring terminal device, and a first monitoring person allocation process may be performed on a city area corresponding to each first city monitoring terminal device to perform manual monitoring on the corresponding city area, and on the other hand, each uncontrolled city monitoring terminal device may be determined as a second city monitoring terminal device, and the second monitoring personnel allocation processing is carried out on the city area corresponding to each second city monitoring terminal device so as to carry out manual monitoring on the corresponding city area, namely different personnel allocation is carried out based on different conditions, thus the effect of allocation management can be improved, and the problem of poor effect of allocation management on the monitoring personnel in the prior art is solved.

For example, in an alternative example, the step of performing service request management on a plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos to control whether each city monitoring terminal device performs monitoring may include the following step S110, step S120, and step S130, and specific contents are described below.

Step S110, obtaining historical city monitoring videos sent by each of the plurality of city monitoring terminal devices, and obtaining a plurality of historical city monitoring videos corresponding to the plurality of city monitoring terminal devices.

In the embodiment of the present invention, the city monitoring server may obtain a plurality of historical city monitoring videos corresponding to the plurality of city monitoring terminal devices, where the historical city monitoring videos are sent by each of the plurality of city monitoring terminal devices. Each historical city monitoring video is obtained by collecting a corresponding city area in historical time based on the corresponding city monitoring terminal equipment, and each historical city monitoring video comprises a plurality of historical city monitoring video frames (which can be continuous in time sequence).

Step S120, determining the correlation among the plurality of historical city monitoring videos, and obtaining historical video correlation information among the plurality of historical city monitoring videos.

In the embodiment of the present invention, the city monitoring server may determine the correlation between the plurality of historical city monitoring videos, so that historical video correlation information between the plurality of historical city monitoring videos may be obtained.

Step S130, performing service request management on a plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos based on the historical video correlation information among the plurality of historical city monitoring videos, so as to control whether each city monitoring terminal device performs monitoring.

In the embodiment of the present invention, the city monitoring server may perform service request management on a plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos based on the historical video correlation information among the plurality of historical city monitoring videos, so that it may be controlled whether each city monitoring terminal device performs monitoring.

Based on the above, after obtaining a plurality of historical city monitoring videos corresponding to a plurality of city monitoring terminal devices, historical video correlation relationship information among the plurality of historical city monitoring videos may be determined first, and then, service request management may be performed on the plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos based on the historical video correlation relationship information among the plurality of historical city monitoring videos, so as to control whether each city monitoring terminal device monitors or not, that is, the monitoring service management effect on the city monitoring terminal devices is improved by improving the control precision on the city monitoring terminal devices, thereby improving the problem in the prior art that the monitoring service management effect on the city monitoring terminal devices is not good.

For example, in an alternative example, the step of obtaining a plurality of historical city monitoring videos corresponding to the plurality of city monitoring terminal devices by obtaining the historical city monitoring video sent by each of the plurality of city monitoring terminal devices may include:

firstly, when a trigger instruction needing to be monitored exists, generating corresponding monitoring management notification information (the trigger instruction can be received or generated by the trigger instruction);

secondly, the monitoring management notification information is respectively sent to each city monitoring terminal device in the plurality of city monitoring terminal devices, wherein each city monitoring terminal device is used for sending historical city monitoring videos collected in historical time to the city monitoring server based on the monitoring management notification information;

and then, obtaining the historical city monitoring video sent by each city monitoring terminal device in the plurality of city monitoring terminal devices based on the monitoring management notification information to obtain a plurality of historical city monitoring videos corresponding to the plurality of city monitoring terminal devices.

In an alternative example, the step of generating corresponding monitoring management notification information when there is a trigger instruction that needs to be monitored may include:

firstly, judging whether the current time belongs to a preset target time period or not;

secondly, when the current time does not belong to the target time period, determining that no trigger instruction needing to be monitored exists, when the current time belongs to the target time period, determining that the trigger instruction needing to be monitored exists, and generating corresponding monitoring management notification information based on the current time, wherein the monitoring management notification information carries the current time, and when the city monitoring terminal equipment sends historical city monitoring videos collected in historical time to the city monitoring server based on the monitoring management notification information, the city monitoring terminal equipment determines partial historical city monitoring videos with time relevance (such as a certain time period in one day) based on the current time in all the collected historical city monitoring videos.

In an alternative example, the step of determining a correlation between the historical city monitoring videos and obtaining historical video correlation information between the historical city monitoring videos may include:

firstly, for every two historical city monitoring videos in the multiple historical city monitoring videos, calculating the similarity between historical city monitoring video frames included in the two historical city monitoring videos to obtain video similarity information corresponding to the two historical city monitoring videos;

secondly, historical video correlation relation information between every two historical city monitoring videos in the historical city monitoring videos is determined based on the video similarity information corresponding to every two historical city monitoring videos in the historical city monitoring videos.

For example, in an alternative example, the step of calculating, for each two historical city monitoring videos in the plurality of historical city monitoring videos, a similarity between frames of the historical city monitoring videos included in the two historical city monitoring videos to obtain video similarity information corresponding to the two historical city monitoring videos may include:

firstly, traversing each frame of historical city monitoring video frame included in one historical city monitoring video of the two historical city monitoring videos aiming at every two historical city monitoring videos in the plurality of historical city monitoring videos, and calculating the average value of the video frame similarity between the currently traversed historical city monitoring video frame and each frame of historical city monitoring video frame included in the other historical city monitoring video to obtain the similarity average value corresponding to the currently traversed historical city monitoring video frame;

secondly, for every two historical city monitoring videos in the multiple historical city monitoring videos, calculating an average value of similarity mean values corresponding to each traversed frame of historical city monitoring video frames in the two historical city monitoring videos, and obtaining video similarity information (namely, an average value of the similarity mean values) corresponding to the two historical city monitoring videos.

For example, in an alternative example, the step of determining historical video correlation relationship information between every two historical city monitoring videos in the historical city monitoring videos based on the video similarity information corresponding to every two historical city monitoring videos in the historical city monitoring videos may include:

firstly, aiming at each historical city monitoring video in the multiple historical city monitoring videos, carrying out object identification processing on each frame of historical city monitoring video frame included in the historical city monitoring video to obtain a monitoring object set corresponding to the historical city monitoring video, and respectively counting the frame number of each monitoring object in the monitoring object set in the historical city monitoring video frame corresponding to the historical city monitoring video to obtain a video counting frame number corresponding to each monitoring object;

secondly, for each historical city monitoring video in the plurality of historical city monitoring videos, determining a region scene image (namely a region background) of a city region corresponding to the historical city monitoring video based on each frame of historical city monitoring video frame included in the historical city monitoring video, wherein the region scene image is used for representing fixed scene characteristic information of the corresponding city region;

then, for every two historical city monitoring videos in the multiple historical city monitoring videos, calculating the set overlap ratio between two monitoring object sets corresponding to the two historical city monitoring videos, calculating the weighted overlap ratio of the two monitoring object sets corresponding to the two historical city monitoring videos based on the video counting frame number corresponding to each monitoring object, obtaining the weighted set overlap ratio between the two historical city monitoring videos, and obtaining the object similarity information between the two historical city monitoring videos based on the set overlap ratio and the weighted set overlap ratio;

then, for every two historical city monitoring videos in the multiple historical city monitoring videos, calculating image similarity between area scene images corresponding to the two historical city monitoring videos, and determining area scene similarity information between the two historical city monitoring videos based on the image similarity (for example, determining the image similarity as the area scene similarity information);

finally, for every two historical city monitoring videos in the multiple historical city monitoring videos, the video similarity information, the object similarity information and the area scene similarity information (such as weighted summation calculation) corresponding to the two historical city monitoring videos are subjected to obtain historical video correlation relationship information between the two historical city monitoring videos.

For example, in an alternative example, the step of performing service request management on multiple city monitoring terminal devices corresponding to multiple historical city monitoring videos based on the historical video correlation information among the multiple historical city monitoring videos to control whether each city monitoring terminal device performs monitoring may include:

firstly, clustering the historical city monitoring videos based on the historical video correlation information among the historical city monitoring videos to obtain at least one monitoring video set corresponding to the historical city monitoring videos, wherein each monitoring video set in the at least one monitoring video set comprises at least one historical city monitoring video;

secondly, for each monitoring video set in the at least one monitoring video set, constructing and obtaining a terminal equipment set corresponding to the monitoring video set based on the city monitoring terminal equipment corresponding to each historical city monitoring video included in the monitoring video set;

then, for each terminal device set, performing object traffic statistics processing based on the historical city monitoring videos included in the monitoring video set corresponding to the terminal device set to obtain an object traffic statistics value corresponding to the terminal device set, and performing service request management on each city monitoring terminal device included in the terminal device set based on the object traffic statistics value to control whether each city monitoring terminal device monitors.

For example, in an alternative example, the step of, for each terminal device set, performing object traffic statistics processing based on the historical city monitoring videos included in the monitoring video set corresponding to the terminal device set to obtain an object traffic statistics value corresponding to the terminal device set, and performing service request management on each city monitoring terminal device included in the terminal device set based on the object traffic statistics value to control whether each city monitoring terminal device performs monitoring may include:

firstly, aiming at each terminal equipment set, performing target video frame screening operation on historical city monitoring videos included in the monitoring video set corresponding to the terminal equipment set to obtain at least one historical city monitoring video frame corresponding to the terminal equipment set;

secondly, for each terminal equipment set, carrying out object identification processing on the at least one frame of historical city monitoring video corresponding to the terminal equipment set to obtain an object flow statistic value corresponding to the terminal equipment set, and determining the relative size relationship between the object flow statistic value and a preset object flow statistic threshold value;

then, for each terminal device set, if the object traffic statistic corresponding to the terminal device set is greater than or equal to the object traffic statistic threshold, controlling the terminal device set to include each city monitoring terminal device for monitoring, and if the object traffic statistic corresponding to the terminal device set is less than the object traffic statistic threshold, controlling the terminal device set to include each city monitoring terminal device for not monitoring.

Illustratively, in an alternative example, the target video frame filtering operation includes:

firstly, performing video frame classification processing on each frame of historical city monitoring video frame included in each historical city monitoring video included in the monitoring video set based on whether the monitored objects are the same or not to obtain a plurality of corresponding video frame classification sets, wherein each video frame classification set in the plurality of video frame classification sets comprises at least one frame of historical city monitoring video frame;

secondly, for each video frame classification set in the multiple video frame classification sets, carrying out similarity calculation (calculation between every two video frames) on the historical city monitoring video frames included in the video frame classification set to obtain the video frame similarity between every two historical city monitoring video frames included in the video frame classification set, and determining the historical city monitoring video frame with the largest average value of the video frame similarities with other historical city monitoring video frames as the first representative historical city monitoring video frame corresponding to the video frame classification set;

then, aiming at each video frame classification set in the multiple video frame classification sets, respectively calculating the average value of the video frame similarity between each frame of historical city monitoring video frame included in the video frame classification set and the historical city monitoring video frame in other video frame classification sets, and determining the historical city monitoring video frame with the maximum average value as a second representative historical city monitoring video frame corresponding to the video frame classification set;

then, constructing and obtaining a corresponding representative video frame set based on the first representative historical city monitoring video frame and the second representative historical city monitoring video frame corresponding to each video frame classification set in the multiple video frame classification sets;

then, taking each frame of historical city monitoring video frame included in the representative video frame set as a screened historical city monitoring video frame, calculating video frame similarity between each frame of historical city monitoring video frame in the representative video frame set and the other frames of historical city monitoring video frames except the representative video frame set to obtain at least one video frame similarity corresponding to the other historical city monitoring video frames, and determining the relative size relationship between each frame of video frame similarity in the at least one video frame similarity and a preset similarity threshold;

and finally, aiming at each frame of other historical city monitoring video frames except the representative video frame set, if the similarity of the at least one video frame corresponding to the other historical city monitoring video frames is smaller than the similarity threshold, determining the other historical city monitoring video frames as the screened historical city monitoring video frames, and if the similarity of the at least one video frame corresponding to the other historical city monitoring video frames is not smaller than the similarity threshold, not determining the other historical city monitoring video frames as the screened historical city monitoring video frames.

For example, in an alternative example, the step of determining each controlled city monitoring terminal device to be a first city monitoring terminal device, and performing first monitoring person allocation processing on the city area corresponding to each first city monitoring terminal device may include:

firstly, determining each controlled city monitoring terminal device to be a first city monitoring terminal device, and determining whether at least one first city monitoring terminal device exists;

secondly, when the at least one first city monitoring terminal device exists, performing first monitoring person distribution processing on the at least one first city monitoring terminal device based on a first monitoring person distribution rule configured in advance so as to perform manual monitoring on a corresponding city area.

In an alternative example, the step of performing, when there is at least one first city monitoring terminal device, a first monitoring staff allocation process on the at least one first city monitoring terminal device based on a first monitoring staff allocation rule configured in advance to perform manual monitoring on a corresponding city area may include:

firstly, when at least one first city monitoring terminal device exists, determining the distribution amount information of monitoring personnel corresponding to each first city monitoring terminal device based on the historical city monitoring video corresponding to each first city monitoring terminal device;

secondly, aiming at each first city monitoring terminal device in the at least one first city monitoring terminal device, calculating the product between the monitoring personnel distribution amount information corresponding to the first city monitoring terminal device and a first distribution coefficient configured in advance, and distributing the monitoring personnel with corresponding amount to the city area corresponding to the first city monitoring terminal device based on the product to perform manual monitoring.

In an alternative example, the step of determining, when there is at least one first city monitoring terminal device, allocation amount information of monitoring staff corresponding to each first city monitoring terminal device based on the historical city monitoring video corresponding to each first city monitoring terminal device may include:

firstly, when at least one first city monitoring terminal device exists and the number of the first city monitoring terminal devices is multiple, calculating video frame relevancy information of corresponding historical city monitoring videos between every two first city monitoring terminal devices in the multiple first city monitoring terminal devices, and calculating object relevancy information (namely object coincidence degree) of the two first city monitoring terminal devices on a monitored object based on the two historical city monitoring videos corresponding to the two first city monitoring terminal devices;

secondly, for every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices, calculating to obtain area relevance information (such as a negative correlation relationship between the distance and the area relevance) of the two first city monitoring terminal devices about the area distance based on the two city areas corresponding to the two first city monitoring terminal devices, and calculating to obtain road condition relevance information (such as similarity of a road condition distribution map and the like) of the two first city monitoring terminal devices about the area road condition based on the two city areas corresponding to the two first city monitoring terminal devices;

then, for every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices, fusing the video frame relevancy information, the object relevancy information, the area relevancy information and the road condition relevancy information corresponding to the two first city monitoring terminal devices to obtain fusion relevancy information (such as weighted summation) corresponding to the two first city monitoring terminal devices, and clustering the plurality of first city monitoring terminal devices based on the fusion relevancy information corresponding to every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices to obtain at least one corresponding device clustering set, wherein each device clustering set in the at least one device clustering set comprises at least one first city monitoring terminal device;

then, for each equipment cluster set in the at least one equipment cluster set, based on a historical city monitoring video corresponding to each first city monitoring terminal equipment included in the equipment cluster set, obtaining a monitoring object flow value corresponding to the equipment cluster set, and based on the monitoring object flow value, determining monitoring staff allocation amount information corresponding to each first city monitoring terminal equipment included in the equipment cluster set, wherein the monitoring staff allocation amount information and the monitoring object flow value have a positive correlation.

For example, in an alternative example, the step of determining each city monitoring terminal device which is not controlled to perform monitoring as a second city monitoring terminal device, and performing second monitoring person allocation processing on the city area corresponding to each second city monitoring terminal device may include:

firstly, determining each city monitoring terminal device which is not controlled to monitor as a second city monitoring terminal device, and determining whether at least one second city monitoring terminal device exists;

secondly, when the at least one second city monitoring terminal device exists, second monitoring personnel distribution processing is carried out on the at least one second city monitoring terminal device based on a second monitoring personnel distribution rule configured in advance so as to carry out manual monitoring on the corresponding city area.

In an alternative example, the step of performing, when there is at least one second city monitoring terminal device, second monitoring person allocation processing on the at least one second city monitoring terminal device based on a second monitoring person allocation rule configured in advance to perform manual monitoring on a corresponding city area may include:

firstly, when at least one second city monitoring terminal device exists, determining the distribution amount information of monitoring personnel corresponding to each second city monitoring terminal device based on the historical city monitoring video corresponding to each second city monitoring terminal device;

secondly, aiming at each second city monitoring terminal device in the at least one second city monitoring terminal device, calculating the product between the monitoring personnel distribution amount information corresponding to the second city monitoring terminal device and a second distribution coefficient configured in advance, and distributing the corresponding number of monitoring personnel to the city area corresponding to the second city monitoring terminal device based on the product to perform manual monitoring.

In an alternative example, the step of determining, when there is at least one second city monitoring terminal device, allocation amount information of monitoring staff corresponding to each second city monitoring terminal device based on the historical city monitoring video corresponding to each second city monitoring terminal device may include:

firstly, when there is at least one second city monitoring terminal device and the number of the second city monitoring terminal devices is multiple, for each two second city monitoring terminal devices in the multiple second city monitoring terminal devices, calculating to obtain area correlation information of the two second city monitoring terminal devices about an area distance based on two city areas corresponding to the two second city monitoring terminal devices, and calculating to obtain road condition correlation information of the two second city monitoring terminal devices about an area road condition based on the two city areas corresponding to the two second city monitoring terminal devices (as described above);

secondly, for every two second city monitoring terminal devices in the plurality of second city monitoring terminal devices, fusing the area relevancy information and the road condition relevancy information corresponding to the two second city monitoring terminal devices to obtain fused relevancy information corresponding to the two second city monitoring terminal devices, and clustering the plurality of second city monitoring terminal devices based on the fused relevancy information corresponding to every two second city monitoring terminal devices in the plurality of second city monitoring terminal devices to obtain at least one corresponding device cluster, wherein each device cluster in the at least one device cluster comprises at least one second city monitoring terminal device;

then, for each equipment cluster in the at least one equipment cluster, obtaining a monitoring object flow value corresponding to the equipment cluster based on the historical city monitoring video corresponding to each second city monitoring terminal equipment included in the equipment cluster, and determining monitoring staff allocation amount information corresponding to each first city monitoring terminal equipment included in the equipment cluster based on the monitoring object flow value, wherein the monitoring staff allocation amount information and the monitoring object flow value have a positive correlation.

With reference to fig. 3, an embodiment of the present invention further provides a staff allocation system based on smart city monitoring, which can be applied to the city monitoring server. Wherein, the staff distribution system based on smart city monitoring can comprise the following modules:

a service request management module, configured to, after obtaining historical city monitoring videos sent by each of the multiple city monitoring terminal devices to obtain multiple historical city monitoring videos corresponding to the multiple city monitoring terminal devices, perform service request management on the multiple city monitoring terminal devices corresponding to the multiple historical city monitoring videos to control whether each city monitoring terminal device performs monitoring, where each historical city monitoring video is obtained by collecting a corresponding city area in historical time based on the corresponding city monitoring terminal device, and each historical city monitoring video includes multiple frames of historical city monitoring video frames;

the first monitoring personnel allocation module is used for determining each controlled city monitoring terminal device to be a first city monitoring terminal device and performing first monitoring personnel allocation processing on the city area corresponding to each first city monitoring terminal device so as to perform manual monitoring on the corresponding city area;

and the second monitoring personnel allocation module is used for determining each city monitoring terminal device which is not controlled to be monitored as a second city monitoring terminal device, and performing second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device so as to perform manual monitoring on the corresponding city area.

For example, in an alternative example, the first monitoring person allocation module is specifically configured to: determining each city monitoring terminal device which is controlled to monitor as a first city monitoring terminal device, and determining whether at least one first city monitoring terminal device exists; when the at least one first city monitoring terminal device exists, performing first monitoring person distribution processing on the at least one first city monitoring terminal device based on a first monitoring person distribution rule configured in advance so as to perform manual monitoring on a corresponding city area.

For example, in an alternative example, the second monitoring person allocation module is specifically configured to: determining each city monitoring terminal device which is not controlled to monitor as a second city monitoring terminal device, and determining whether at least one second city monitoring terminal device exists; and when the at least one second city monitoring terminal device exists, performing second monitoring personnel allocation processing on the at least one second city monitoring terminal device based on a second monitoring personnel allocation rule configured in advance so as to perform manual monitoring on the corresponding city area.

In summary, according to the method and system for allocating staff based on smart city monitoring provided by the present invention, after obtaining the historical city monitoring video sent by each of the plurality of city monitoring terminal devices to obtain the plurality of historical city monitoring videos corresponding to the plurality of city monitoring terminal devices, service request management may be performed on the plurality of city monitoring terminal devices corresponding to the plurality of historical city monitoring videos to control whether each city monitoring terminal device performs monitoring, and then, on one hand, each city monitoring terminal device controlled to perform monitoring may be determined as a first city monitoring terminal device, and a first monitoring staff allocation process may be performed on a city area corresponding to each first city monitoring terminal device to perform manual monitoring on the corresponding city area, and on the other hand, each city monitoring terminal device not controlled to perform monitoring may be determined as a second city monitoring terminal device And the second monitoring personnel allocation processing is carried out on the city area corresponding to each second city monitoring terminal device, so that the corresponding city area is manually monitored, namely different personnel allocation is carried out on the basis of different conditions, the allocation management effect can be improved, and the problem of poor allocation management effect on the monitoring personnel in the prior art is solved.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The utility model provides a personnel distribution method based on wisdom city control which characterized in that is applied to city monitoring server, city monitoring server communication connection has a plurality of city monitoring terminal equipment, personnel distribution method based on wisdom city control includes:

after historical city monitoring videos sent by each city monitoring terminal device in the city monitoring terminal devices are obtained to obtain a plurality of historical city monitoring videos corresponding to the city monitoring terminal devices, service request management is carried out on the city monitoring terminal devices corresponding to the historical city monitoring videos to control whether each city monitoring terminal device carries out monitoring or not, wherein each historical city monitoring video is obtained by collecting a corresponding city area in historical time based on the corresponding city monitoring terminal device, and each historical city monitoring video comprises a plurality of frames of historical city monitoring video frames;

determining each city monitoring terminal device controlled to be monitored as a first city monitoring terminal device, and performing first monitoring personnel allocation processing on the city area corresponding to each first city monitoring terminal device so as to perform manual monitoring on the corresponding city area;

and determining each city monitoring terminal device which is not controlled to be monitored as a second city monitoring terminal device, and performing second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device so as to perform manual monitoring on the corresponding city area, wherein the second monitoring personnel allocation processing is different from the first monitoring personnel allocation processing.

2. The people allocation method based on smart city monitoring as claimed in claim 1, wherein the step of determining each of the city monitoring terminal devices controlled for monitoring as a first city monitoring terminal device, and performing a first monitoring people allocation process on the city area corresponding to each of the first city monitoring terminal devices to perform manual monitoring on the corresponding city area comprises:

determining each city monitoring terminal device which is controlled to monitor as a first city monitoring terminal device, and determining whether at least one first city monitoring terminal device exists;

when the at least one first city monitoring terminal device exists, performing first monitoring person distribution processing on the at least one first city monitoring terminal device based on a first monitoring person distribution rule configured in advance so as to perform manual monitoring on a corresponding city area.

3. The people allocation method based on smart city monitoring as claimed in claim 2, wherein the step of performing a first monitoring people allocation process on the at least one first city monitoring terminal device based on a pre-configured first monitoring people allocation rule to manually monitor the corresponding city area when the at least one first city monitoring terminal device exists, comprises:

when the at least one first city monitoring terminal device exists, determining the distribution amount information of the monitoring personnel corresponding to each first city monitoring terminal device based on the historical city monitoring video corresponding to each first city monitoring terminal device;

and aiming at each first city monitoring terminal device in the at least one first city monitoring terminal device, calculating the product between the monitoring personnel distribution amount information corresponding to the first city monitoring terminal device and a first pre-configured distribution coefficient, and distributing the corresponding number of monitoring personnel to the city area corresponding to the first city monitoring terminal device based on the product so as to perform manual monitoring.

4. The people allocation method based on smart city monitoring as claimed in claim 3, wherein the step of determining the allocation amount information of the monitored people corresponding to each of the first city monitoring terminal devices based on the historical city monitoring video corresponding to each of the first city monitoring terminal devices when the at least one first city monitoring terminal device exists comprises:

when the at least one first city monitoring terminal device exists and the number of the first city monitoring terminal devices is multiple, calculating video frame relevancy information of the historical city monitoring videos corresponding to the two first city monitoring terminal devices aiming at every two first city monitoring terminal devices in the multiple first city monitoring terminal devices, and calculating object relevancy information of the two first city monitoring terminal devices on the monitored object based on the two historical city monitoring videos corresponding to the two first city monitoring terminal devices;

for every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices, calculating to obtain the area relevancy information of the two first city monitoring terminal devices about the area distance based on the two city areas corresponding to the two first city monitoring terminal devices, and calculating to obtain the road condition relevancy information of the two first city monitoring terminal devices about the area road condition based on the two city areas corresponding to the two first city monitoring terminal devices;

for every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices, fusing the video frame relevancy information, the object relevancy information, the area relevancy information and the road condition relevancy information corresponding to the two first city monitoring terminal devices to obtain fusion relevancy information corresponding to the two first city monitoring terminal devices, and clustering the plurality of first city monitoring terminal devices based on the fusion relevancy information corresponding to every two first city monitoring terminal devices in the plurality of first city monitoring terminal devices to obtain at least one corresponding device clustering set, wherein each device clustering set in the at least one device clustering set comprises at least one first city monitoring terminal device;

for each equipment cluster set in the at least one equipment cluster set, obtaining a monitoring object flow value corresponding to the equipment cluster set based on a historical city monitoring video corresponding to each first city monitoring terminal device included in the equipment cluster set, and determining monitoring staff distribution amount information corresponding to each first city monitoring terminal device included in the equipment cluster set based on the monitoring object flow value, wherein the monitoring staff distribution amount information and the monitoring object flow value have a positive correlation relationship.

5. The people allocation method based on smart city monitoring as claimed in claim 1, wherein the step of determining each of the city monitoring terminal devices which are not controlled for monitoring as a second city monitoring terminal device, and performing second monitoring people allocation processing on the city area corresponding to each of the second city monitoring terminal devices to perform manual monitoring on the corresponding city area comprises:

determining each city monitoring terminal device which is not controlled to monitor as a second city monitoring terminal device, and determining whether at least one second city monitoring terminal device exists;

and when the at least one second city monitoring terminal device exists, performing second monitoring personnel allocation processing on the at least one second city monitoring terminal device based on a second monitoring personnel allocation rule configured in advance so as to perform manual monitoring on the corresponding city area.

6. The people allocation method based on smart city monitoring as claimed in claim 5, wherein the step of performing second monitoring people allocation processing on the at least one second city monitoring terminal device based on a second monitoring people allocation rule configured in advance when the at least one second city monitoring terminal device exists, so as to perform manual monitoring on the corresponding city area, comprises:

when the at least one second city monitoring terminal device exists, determining the distribution amount information of the monitoring personnel corresponding to each second city monitoring terminal device based on the historical city monitoring video corresponding to each second city monitoring terminal device;

and aiming at each second city monitoring terminal device in the at least one second city monitoring terminal device, calculating the product between the monitoring personnel distribution amount information corresponding to the second city monitoring terminal device and a second distribution coefficient which is configured in advance, and distributing the corresponding number of monitoring personnel to the city area corresponding to the second city monitoring terminal device based on the product so as to perform manual monitoring.

7. The people allocation method based on smart city monitoring as claimed in claim 6, wherein the step of determining the distribution amount information of the monitored people corresponding to each second city monitoring terminal device based on the historical city monitoring video corresponding to each second city monitoring terminal device when the at least one second city monitoring terminal device exists comprises:

when the at least one second city monitoring terminal device exists and the number of the second city monitoring terminal devices is multiple, calculating area relevancy information of the two second city monitoring terminal devices about the area distance according to two city areas corresponding to the two second city monitoring terminal devices aiming at every two second city monitoring terminal devices in the multiple second city monitoring terminal devices, and calculating road condition relevancy information of the two second city monitoring terminal devices about the area road condition according to the two city areas corresponding to the two second city monitoring terminal devices;

for every two second city monitoring terminal devices in the plurality of second city monitoring terminal devices, fusing the area relevancy information and the road condition relevancy information corresponding to the two second city monitoring terminal devices to obtain fused relevancy information corresponding to the two second city monitoring terminal devices, and clustering the plurality of second city monitoring terminal devices based on the fused relevancy information corresponding to every two second city monitoring terminal devices in the plurality of second city monitoring terminal devices to obtain at least one corresponding device cluster, wherein each device cluster in the at least one device cluster comprises at least one second city monitoring terminal device;

for each equipment cluster in the at least one equipment cluster, obtaining a monitoring object flow value corresponding to the equipment cluster based on historical city monitoring videos corresponding to each second city monitoring terminal equipment included in the equipment cluster, and determining monitoring staff allocation amount information corresponding to each first city monitoring terminal equipment included in the equipment cluster based on the monitoring object flow value, wherein the monitoring staff allocation amount information and the monitoring object flow value have positive correlation.

8. The utility model provides a personnel distribution system based on wisdom city control which characterized in that is applied to city monitoring server, city monitoring server communication connection has a plurality of city monitoring terminal equipment, personnel distribution system based on wisdom city control includes:

a service request management module, configured to, after obtaining historical city monitoring videos sent by each of the multiple city monitoring terminal devices to obtain multiple historical city monitoring videos corresponding to the multiple city monitoring terminal devices, perform service request management on the multiple city monitoring terminal devices corresponding to the multiple historical city monitoring videos to control whether each city monitoring terminal device performs monitoring, where each historical city monitoring video is obtained by collecting a corresponding city area in historical time based on the corresponding city monitoring terminal device, and each historical city monitoring video includes multiple frames of historical city monitoring video frames;

the first monitoring personnel allocation module is used for determining each controlled city monitoring terminal device to be a first city monitoring terminal device and performing first monitoring personnel allocation processing on the city area corresponding to each first city monitoring terminal device so as to perform manual monitoring on the corresponding city area;

and the second monitoring personnel allocation module is used for determining each city monitoring terminal device which is not controlled to be monitored as a second city monitoring terminal device, and performing second monitoring personnel allocation processing on the city area corresponding to each second city monitoring terminal device so as to perform manual monitoring on the corresponding city area.

9. The smart city monitoring-based staff allocation system of claim 8, wherein the first monitoring staff allocation module is specifically configured to:

determining each city monitoring terminal device which is controlled to monitor as a first city monitoring terminal device, and determining whether at least one first city monitoring terminal device exists;

when the at least one first city monitoring terminal device exists, performing first monitoring person distribution processing on the at least one first city monitoring terminal device based on a first monitoring person distribution rule configured in advance so as to perform manual monitoring on a corresponding city area.

10. The smart city monitoring-based staff allocation system of claim 8, wherein the second monitoring staff allocation module is specifically configured to:

determining each city monitoring terminal device which is not controlled to monitor as a second city monitoring terminal device, and determining whether at least one second city monitoring terminal device exists;

and when the at least one second city monitoring terminal device exists, performing second monitoring personnel allocation processing on the at least one second city monitoring terminal device based on a second monitoring personnel allocation rule configured in advance so as to perform manual monitoring on the corresponding city area.

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