CN114943510A - City management case processing method, system, device, equipment and storage medium - Google Patents

City management case processing method, system, device, equipment and storage medium Download PDF

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CN114943510A
CN114943510A CN202210501681.4A CN202210501681A CN114943510A CN 114943510 A CN114943510 A CN 114943510A CN 202210501681 A CN202210501681 A CN 202210501681A CN 114943510 A CN114943510 A CN 114943510A
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周静
孙德彪
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Shanghai Sensetime Technology Development Co Ltd
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Abstract

The application discloses a method, a system, a device, equipment and a storage medium for processing urban management cases. The city management case processing method comprises the following steps: acquiring a target event; generating a target case according to the target event; monitoring whether the target event exists or not according to a preset time interval; and responding to the target event not existing, and carrying out the final case on the target case. By the scheme, the most truly existing case work orders can be fed back in time, so that city management workers do not need to execute the case which does not exist.

Description

City management case processing method, system, device, equipment and storage medium
Technical Field
The present application relates to the field of computer vision technologies, and in particular, to a method, a system, an apparatus, a device, and a storage medium for handling cases in city management.
Background
The AI algorithm technology is widely applied nowadays, for urban management, a large number of case work orders can be found every day by using artificial intelligence, but the urban management is seriously insufficient in labor force, so that the case disposal time is not timely, the current situations that a case does not exist and a worker goes to a field to execute a task often occur, and the case disposal efficiency is extremely low due to the circulation; for the frequently-occurring cases with low severity, the manager takes the measure of concentrating the manpower for batch processing at a certain time, but the number of the work orders on the management platform is greatly different from the number of the real work orders, so that the manpower allocation is wasted.
Disclosure of Invention
The technical problem mainly solved by the application is to provide a method, a system, a device, equipment and a storage medium for processing urban management cases.
The first aspect of the application provides a method for processing urban management cases, which comprises the following steps: acquiring a target event; generating a target case according to the target event; monitoring whether the target event exists or not according to a preset time interval; and responding to the target event not existing, and carrying out the final case on the target case.
Therefore, after the target event is obtained, the corresponding target case can be generated according to the target event, then whether the target event exists can be monitored circularly according to the preset time interval, and when the target event does not exist, the case settlement processing is carried out on the target case, whether the work order case exists in the city management can be checked in real time, and the case settlement is carried out automatically on the case which does not exist, so that the most truly existing case work order and the number of the case work orders of the city management staff can be fed back in time, the city management staff does not need to execute the work order task which does not exist, and the labor and time cost for the staff to deal with the case on site by mistake is saved.
Wherein the target event comprises event location information; the monitoring whether the target event exists according to the preset time interval comprises the following steps: determining a target area based on the event location information; and monitoring the target area, and judging whether the target event exists according to the preset time interval.
Therefore, the target event comprises the event position information, so that the target area needing to be monitored circularly can be determined according to the event position information of the target event, the target area can be monitored, whether the target event exists or not can be judged according to the preset time interval, and the target case can be subjected to case settlement processing when the target event does not exist, so that city management workers do not need to execute the nonexistent work order task, and the labor and time cost of the workers for mistakenly going to the field to handle the case is saved.
Wherein the monitoring the target area and judging whether the target event exists according to the preset time interval includes: monitoring the target area, and acquiring a video stream file of the target area according to the preset time interval; and detecting the video stream file and judging whether the target event exists or not.
Therefore, after the target area needing to be monitored is determined, the video stream file of the target area can be obtained according to the preset time interval, and then the video stream file is detected, so that whether the target event exists or not can be judged, and the target case can be subjected to case ending processing when the target event does not exist.
The monitoring the target area and acquiring the video stream file of the target area according to the preset time interval includes: and in the process of monitoring the target area, acquiring the video stream file of the target area at intervals of the preset time.
Therefore, in the process of monitoring the target area, the video stream file of the target area is acquired at preset time intervals, so that the file memory of the video stream file acquired and detected every time is small, the acquisition, transmission and detection of the large video stream file can be avoided, the operating pressure of the system is reduced, and the transmission detection efficiency of the video stream file is improved.
Wherein the obtaining the target event comprises: acquiring city management image data; and identifying the city management image data by using a scene identification model based on a preset AI scene identification algorithm to obtain an identification result of the target event and the event position information in the image.
Therefore, the preset AI scene recognition algorithm is used for recognizing the city management image data, whether the target event really exists can be determined, and the event position information of the target event can be determined, so that the target event really existing and the specific position of a city management worker can be fed back in time, and the city management case recognition and processing have higher automation degree and accuracy degree.
The target case comprises at least one of street illegal operation, illegal vehicle parking, garbage throwing and illegal shed road occupation.
Therefore, after the target events of various types are obtained, the target cases corresponding to the target events are generated, whether the target events exist is monitored circularly, and when the target events do not exist, the case settlement processing is carried out on the target cases, whether the target cases of various types exist in the city management can be checked in real time, and the case settlement is carried out automatically on the cases which do not exist, so that the most truly existing case worksheets and the quantity of the cases which exist in the city management staff can be fed back in time, the city management staff does not need to execute the tasks of the nonexistent worksheets, and the processing of the target cases of various types in the city management is realized.
In order to solve the above problem, a second aspect of the present application provides a system for handling cases in city management, comprising: the data acquisition device is used for acquiring city management image data; and the data processing platform is in communication connection with the data acquisition device and is used for acquiring the city management image data and realizing the city management case processing method in the first aspect based on the city management image data.
In order to solve the above problem, a third aspect of the present application provides an urban management case processing apparatus, including: an acquisition module for acquiring a target event; the generating module is used for generating a target case according to the target event; the monitoring module is used for monitoring whether the target event exists or not according to a preset time interval; a handling module to, in response to the target event not being present, perform a case handling on the target case.
In order to solve the above problem, a fourth aspect of the present application provides an electronic device, which includes a memory and a processor coupled to each other, where the processor is configured to execute program instructions stored in the memory to implement the method for handling a city management case in the first aspect.
In order to solve the above problem, a fifth aspect of the present application provides a computer-readable storage medium having stored thereon program instructions that, when executed by a processor, implement the city management case processing method in the first aspect described above.
According to the scheme, after the target event is obtained, the corresponding target case can be generated according to the target event, then whether the target event exists or not can be circularly monitored according to the preset time interval, and when the target event does not exist, the case settlement processing is carried out on the target case, whether the work order case in the city management exists or not can be checked in real time, and the case settlement is carried out automatically on the case which does not exist, so that the most real case work order and the number of the case which exists can be timely fed back to city management workers, the city management workers do not need to execute the task of the work order which does not exist, and the manpower and time cost for the workers to mistakenly go to the site to handle the case are saved.
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FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a method for handling urban management cases according to the present application;
FIG. 2 is a flowchart illustrating an embodiment of step S13 in FIG. 1;
FIG. 3 is a flowchart illustrating an embodiment of step S132 in FIG. 2;
FIG. 4 is a block diagram of an embodiment of a system for handling cases for urban management according to the present application;
FIG. 5 is a schematic diagram of a framework of an embodiment of the city management case processing apparatus of the present application;
FIG. 6 is a block diagram of an embodiment of an electronic device of the present application;
FIG. 7 is a block diagram of an embodiment of a computer-readable storage medium of the present application.
Detailed Description
The embodiments of the present application will be described in detail below with reference to the drawings.
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, interfaces, techniques, etc. in order to provide a thorough understanding of the present application.
The terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship. Further, the term "plurality" herein means two or more than two.
The main body of the city management case processing method of the present application may be an image depth estimation apparatus, for example, the city management case processing method may be executed by a terminal device or a server or other electronic devices, where the terminal device may be a User Equipment (UE), a mobile device, a User terminal, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. In some possible implementations, the city management case processing method may be implemented by the processor calling computer readable instructions stored in the memory.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of a method for handling urban management cases according to the present application. Specifically, the method may include the steps of:
step S11: and acquiring a target event.
Step S12: and generating a target case according to the target event.
Along with the process of urbanization, the difficulty of city management is increased due to the expansion of city population and city area, various city management cases are increased, and the correct identification and classification of the city management cases are very important in the intelligent processing of the city management cases. The main executing body of the city management case processing method of the present application may be a city management case processing apparatus, for example, the city management case processing method may be executed by a terminal device or a server or other processing devices, where the terminal device may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. In some possible implementations, the city management case processing method may be implemented by a processor calling computer readable instructions stored in a memory. Specifically, the city management case processing apparatus may collect image or video data in places such as roads, communities, public venues, and the like, and then may find a specific target event from the image or video data, and if a target event is found, may generate a corresponding city management case according to the target event, where the generated city management case is the target case.
Step S13: and monitoring whether the target event exists according to a preset time interval. If yes, continuing to monitor whether the target event exists, and if not, executing step S14.
Step S14: and responding to the target event not existing, and carrying out case ending processing on the target case.
Therefore, after the target event is obtained, the corresponding target case can be generated according to the target event, then whether the target event exists or not can be monitored circularly according to the preset time interval, and when the target event does not exist, the case settlement processing is carried out on the target case, whether the work order case in the city management exists or not can be checked in real time, and the case settlement is carried out automatically on the case which does not exist, so that the most truly existing case work order and the number of the case work orders of the city management staff can be fed back in time, the city management staff do not need to execute the task of the absent work order, and the labor and time cost for the staff to deal with the case on site by mistake is saved.
In one embodiment, the target case includes at least one of street violation, illegal parking of vehicles, litter, illegal lane occupancy in sheds. The target cases corresponding to the target events are generated after the target events of various types are obtained, then whether the target events exist is monitored circularly, and when the target events do not exist, the case settlement processing is carried out on the target cases, whether the target cases of various types exist in the city management can be checked in real time, and the cases which do not exist can be settled automatically, so that the most real case worksheets and the number of the worksheets of the city management workers can be fed back in time, the city management workers do not need to execute the tasks of the worksheets which do not exist, and the processing of the target cases of various types in the city management is realized.
In an embodiment, the step S11 may include: and identifying the target event by using a preset AI scene identification algorithm, and determining event position information of the target event.
Specifically, after images or video data related to city management are collected, various shooting scenes can be intelligently identified by using a preset AI scene identification algorithm, and object identification processing is performed on shape data and image data in the scenes, wherein the shape data can reflect the shape characteristics of an object, the image data can reflect the plane characteristics and color characteristics of the object, and the shape data and the image data are used as data for object identification, so that the object identification accuracy can be improved. The target event is identified through the preset AI scene identification algorithm, whether the target event really exists or not can be determined, and the event position information of the target event can be determined, so that the target event really exists and the concrete position of the target event can be fed back to city management workers in time.
Further, the step of identifying the target event by using a preset AI scene identification algorithm and determining the event location information of the target event may specifically include: acquiring city management image data; and identifying the city management image data by using a scene identification model based on a preset AI scene identification algorithm to obtain an identification result of the target event and the event position information in the image.
Specifically, the city management image data may be an image such as a visible light image or an infrared image, or may be a video. The city management image data may be obtained by shooting a preset position, wherein the device for obtaining the city management image data and the executing device for executing the city management case processing method provided by the embodiment of the application may be integrally set or non-integrally set. By acquiring city management image data and inputting the city management image data into a scene recognition model established based on a preset AI scene recognition algorithm for recognition, recognition results of target events in the image and event position information corresponding to the target events can be obtained.
The scene recognition model of the embodiment of the application includes but is not limited to at least one of AlexNet, VGG-Net and ResNet. The preset AI scene recognition algorithm is used for recognizing the city management image data, the type of the specific target event and the position of the target event can be judged, and the city management case recognition and processing have higher automation degree and accuracy.
In an application scenario, an execution main body of the city management case processing method is a SenseFoundry (Canoe city level visual open platform) platform, city management image data is obtained through various camera devices of a city management department, and the city management image data is transmitted to the SenseFoundry platform based on data flow, local files, network transmission and other modes, so that the SenseFoundry platform analyzes the city management image data by using a preset AI scene recognition algorithm to obtain a recognition result of target events and event position information of the target events in the images. For example, the SenseFoundry platform includes an object recognition model and a scene recognition model, city management image data is provided to the object recognition model as input, the object recognition model receives the image data and obtains the judgment probability of the object through calculation, and the object type and the object position in the image are recognized after the object recognition model is screened by a preset threshold value; and then providing the object type and the object position as input to a scene recognition model, receiving the object type and the object position by the scene recognition model, judging the event type of the scene where the object belongs, and outputting the recognition result of the occurrence target event and the event position information thereof in the image. It can be understood that the object recognition model is used for distinguishing various objects in the image and obtaining the classification and corresponding positions of various objects appearing in the image, and the scene recognition model is used for judging the state of the appearing objects and obtaining the case type of the city management case to which the event occurred in the image belongs, so that the corresponding target case can be generated.
In an embodiment, a training method of a scene recognition model in an embodiment of the present application includes: acquiring a case image sample; the case image sample is marked with object objects and coordinate positions related to the urban management case; and inputting the case image sample into the scene recognition model for training to obtain a trained scene recognition model.
Specifically, case image samples can be identified and classified manually, and object objects and coordinate positions related to the city management cases in the images are identified, wherein the related object objects can include but are not limited to: people, cars, tricycles, stools, tables, umbrella sheds, vegetables, fruits, garbage cans, plastic bags, boxes and the like; city management cases include, but are not limited to: street illegal operation, illegal vehicle parking, garbage throwing, illegal shed lane occupation and the like. Then, case image samples marked with object objects and coordinate positions related to the urban management cases are input into the scene recognition model for training, and the trained scene recognition model is obtained. Therefore, the scene recognition model is trained by using the case image samples marked with the object objects and the coordinate positions related to the city management case, and the obtained trained scene recognition model has high recognition accuracy, so that the recognition and processing efficiency of the city management case is high.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating an embodiment of step S13 in fig. 1. In this embodiment of the application, the target event includes event location information, and the step S13 may specifically include:
step S131: determining a target area based on the event location information.
Step S132: and monitoring the target area, and judging whether the target event exists according to the preset time interval.
Therefore, the target event comprises the event position information, so that the target area needing to be monitored circularly can be determined according to the event position information of the target event, the target area can be monitored, whether the target event exists or not can be judged according to the preset time interval, and the target case can be subjected to case settlement processing when the target event does not exist, so that city management workers do not need to execute the nonexistent work order task, and the labor and time cost of the workers for mistakenly going to the field to handle the case is saved.
In an application scenario, a monitoring device of a city management department transmits acquired city management image data to a SenseFoundry platform, the SenseFoundry platform analyzes the city management image data by using a preset AI scene recognition algorithm, finds a target event of a car parked on a certain life channel, then generates a corresponding illegal car parking case and sends an alarm to city management staff, the city management staff is required to process the illegal car parking case at the moment, but the car is already driven away before the city management staff reaches a coordinate position corresponding to the target event, the area where the coordinate position of the target event is located is monitored at the moment to check that the target event does not exist, so the SenseFoundry platform can automatically solve the illegal car parking case and inform the city management staff that the illegal car parking case does not need to be processed again, thereby saving the labor and time cost of the vehicle illegal parking case to go to the field for handling the case by mistake.
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating an embodiment of step S132 in fig. 2. In this embodiment of the application, the step S132 may specifically include:
step S1321: and monitoring the target area, and acquiring the video stream file of the target area according to the preset time interval.
Step S1322: and detecting the video stream file and judging whether the target event exists or not.
Therefore, after the target area needing to be monitored is determined, the video stream file of the target area can be obtained according to the preset time interval, and then the video stream file is detected, so that whether the target event exists can be judged, and the target case can be subjected to case ending processing when the target event does not exist.
Specifically, the step S1321 may include: and in the process of monitoring the target area, acquiring the video stream file of the target area at intervals of the preset time.
It can be understood that, in the process of monitoring the target area, the video stream file of the target area may be obtained once at preset time intervals, and the video stream file is detected and analyzed. For example, the preset time is half an hour, and the corresponding video stream file may be a video file between the last detection time point and the current detection time point, that is, the actual situation of the target area within half an hour before the current detection time point is detected; the corresponding video stream file may also be one or more frames of picture files before the current detection time point, that is, the current actual situation of the target area is detected at the current detection time point. The video stream file of the target area is acquired at preset time intervals, so that the file memory of the video stream file acquired and detected at each time is small, the acquisition, transmission and detection of the large video stream file can be avoided, the operating pressure of the system is reduced, and the transmission detection efficiency of the video stream file is improved.
Referring to fig. 4, fig. 4 is a schematic diagram of a framework of an embodiment of a city management case processing system according to the present application. The city management case processing system 40 comprises a data acquisition device 401 and a data processing platform 402, wherein the data acquisition device 401 is used for acquiring city management image data, the data processing platform 402 is in communication connection with the data acquisition device 401, and the data processing platform 402 is used for acquiring the city management image data and realizing the city management case processing method in any of the above embodiments based on the acquired city management image data. In an implementation scenario, the data acquisition device 401 and the data processing platform 402 may be integrated or non-integrated. In an implementation scenario, there are a plurality of data acquisition devices 401, the plurality of data acquisition devices 401 are distributed at various scene locations in a city, and each data acquisition device 401 is in communication connection with the data processing platform 402.
In the scheme, the data acquisition device 401 acquires city management image data and transmits the city management image data to the data processing platform 402, the data processing platform 402 identifies and analyzes the city management image data to find that a target event exists, then, a corresponding target case can be generated according to the target event, and then, whether the target event exists or not is circularly monitored according to a preset time interval, and when the target event does not exist, the target case is subjected to case settlement processing, whether a work order case exists in city management can be checked in real time, automatically settling cases which do not exist, thereby timely feeding back the most real case worksheets and the number of cases which exist among city management workers, therefore, city management workers do not need to execute the nonexistent work order tasks, and the labor and time cost of the workers for mistakenly going to the site to handle cases is saved.
Referring to fig. 5, fig. 5 is a schematic diagram of a framework of an embodiment of a city management case processing device according to the present application. The city management case processing apparatus 50 includes an obtaining module 500, a generating module 501, a monitoring module 502, and a handling module 504, where the obtaining module 500 is configured to obtain a target event, the generating module 501 is configured to generate a target case according to the target event, the monitoring module 502 is configured to monitor whether the target event exists according to a preset time interval, and the handling module 504 is configured to perform case settlement processing on the target case in response to the absence of the target event.
According to the scheme, after the acquisition module 500 acquires the target event, the generation module 501 can generate the corresponding target case according to the target event, then the monitoring module 502 can circularly monitor whether the target event exists according to the preset time interval, and when the target event does not exist, the handling module 504 carries out case handling on the target case, whether a work order case exists in city management can be checked in real time, and the case does not exist, and the case is automatically handled, so that the most real case work orders and the most real case work orders of city management workers can be fed back in time, the city management workers do not need to execute the task of the absent work order, and the labor and time cost for the workers to handle the case on site mistakenly is saved.
In some embodiments, the target event includes event location information, and the monitoring module 502 performs the step of monitoring whether the target event exists according to a preset time interval, including: determining a target area based on the event location information; and monitoring the target area, and judging whether the target event exists according to the preset time interval.
In some embodiments, the monitoring module 502 performs the steps of monitoring the target area and determining whether the target event exists according to the preset time interval, which specifically includes: monitoring the target area, and acquiring a video stream file of the target area according to the preset time interval; and detecting the video stream file and judging whether the target event exists or not.
In some embodiments, the step of monitoring the target area and acquiring the video stream file of the target area according to the preset time interval by the monitoring module 502 specifically includes: and in the process of monitoring the target area, acquiring the video stream file of the target area at intervals of the preset time.
In some embodiments, the obtaining module 500 executes the step of obtaining the target event, which specifically includes: acquiring city management image data; and identifying the city management image data by using a scene identification model based on a preset AI scene identification algorithm to obtain an identification result of the target event and the event position information in the image.
In some embodiments, the target case includes at least one of street violation, vehicle violation parking, litter, shed violation lane occupation.
Referring to fig. 6, fig. 6 is a schematic diagram of a frame of an electronic device according to an embodiment of the present disclosure. The electronic device 60 comprises a memory 601 and a processor 602, which are coupled to each other, and the processor 602 is configured to execute program instructions stored in the memory 601 to implement the steps of any of the embodiments of the city management case processing method described above. In one particular implementation scenario, electronic device 60 may include, but is not limited to: microcomputer, server.
In particular, the processor 602 is configured to control itself and the memory 601 to implement the steps of any of the above embodiments of the city management case processing method. Processor 602 may also be referred to as a CPU (Central Processing Unit). The processor 602 may be an integrated circuit chip having signal processing capabilities. The Processor 602 may also be a general purpose Processor, 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, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 602 may be commonly implemented by integrated circuit chips.
According to the scheme, the processor 602 generates the corresponding target case according to the target event after acquiring the target event, then circularly monitors whether the target event exists according to the preset time interval, and carries out case settlement processing on the target case when the target event does not exist, so that whether the work order case exists in urban management can be checked in real time, and the case does not exist, and the case is automatically settled, so that the most truly existing case work orders and the quantity of the urban management staff can be timely fed back, the urban management staff does not need to execute the nonexistent work order tasks, and the labor and time cost for the staff to mistakenly go to the site to handle the case is saved.
Referring to fig. 7, fig. 7 is a block diagram illustrating an embodiment of a computer-readable storage medium according to the present application. The computer readable storage medium 70 stores program instructions 700 capable of being executed by the processor, the program instructions 700 being for implementing the steps in any of the above-described embodiments of the city management case processing method.
The disclosure relates to the field of augmented reality, and aims to detect or identify relevant features, states and attributes of a target object by means of various visual correlation algorithms by acquiring image information of the target object in a real environment, so as to obtain an AR effect combining virtual and reality matched with specific applications. For example, the target object may relate to a face, a limb, a gesture, an action, etc. associated with a human body, or a marker, a marker associated with an object, or a sand table, a display area, a display item, etc. associated with a venue or a place. The vision-related algorithms may involve visual localization, SLAM, three-dimensional reconstruction, image registration, background segmentation, key point extraction and tracking of objects, pose or depth detection of objects, and the like. The specific application can not only relate to interactive scenes such as navigation, explanation, reconstruction, virtual effect superposition display and the like related to real scenes or articles, but also relate to special effect treatment related to people, such as interactive scenes such as makeup beautification, limb beautification, special effect display, virtual model display and the like.
The detection or identification processing of the relevant characteristics, states and attributes of the target object can be realized through the convolutional neural network. The convolutional neural network is a network model obtained by performing model training based on a deep learning framework.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely one type of logical division, and an actual implementation may have another division, for example, a unit or a component may be combined or integrated with another system, or some features may be omitted, or not implemented. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on network elements. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Claims (10)

1. A city management case processing method is characterized by comprising the following steps:
acquiring a target event;
generating a target case according to the target event;
monitoring whether the target event exists or not according to a preset time interval;
and responding to the target event not existing, and carrying out the final case on the target case.
2. The city management case processing method according to claim 1, wherein the target event contains event location information;
the monitoring whether the target event exists according to the preset time interval comprises the following steps:
determining a target area based on the event location information;
and monitoring the target area, and judging whether the target event exists according to the preset time interval.
3. The city management case processing method according to claim 2, wherein said monitoring said target area and determining whether said target event exists according to said preset time interval comprises:
monitoring the target area, and acquiring a video stream file of the target area according to the preset time interval;
and detecting the video stream file and judging whether the target event exists or not.
4. The city management case processing method according to claim 3, wherein the monitoring the target area and obtaining the video stream file of the target area according to the preset time interval comprises:
and in the process of monitoring the target area, acquiring the video stream file of the target area at intervals of the preset time.
5. The city management case processing method according to any one of claims 2 to 4, wherein the acquiring target events comprises:
acquiring city management image data;
and identifying the city management image data by using a scene identification model based on a preset AI scene identification algorithm to obtain an identification result of the target event and the event position information in the image.
6. The city management case processing method according to any one of claims 1 to 5, wherein the target case comprises at least one of street violation management, illegal parking of vehicles, litter throws, illegal lane occupation of sheds.
7. A city management case processing system, comprising:
the data acquisition device is used for acquiring city management image data;
the data processing platform is in communication connection with the data acquisition device and is used for acquiring the city management image data and realizing the city management case processing method according to any one of claims 1 to 6 based on the city management image data.
8. A city management case processing apparatus, comprising:
the acquisition module is used for acquiring a target event;
the generating module is used for generating a target case according to the target event;
the monitoring module is used for monitoring whether the target event exists or not according to a preset time interval;
a handling module to, in response to the target event not being present, perform a case handling on the target case.
9. An electronic device, comprising a memory and a processor coupled to each other, wherein the processor is configured to execute program instructions stored in the memory to implement the city management case processing method according to any one of claims 1 to 6.
10. A computer-readable storage medium having stored thereon program instructions, which when executed by a processor, implement the city management case processing method of any one of claims 1 to 6.
CN202210501681.4A 2022-05-09 2022-05-09 City management case processing method, system, device, equipment and storage medium Pending CN114943510A (en)

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CN109345435A (en) * 2018-12-07 2019-02-15 山东晴天环保科技有限公司 Occupy-street-exploit managing device and method
CN110363426A (en) * 2019-07-15 2019-10-22 软通动力信息技术有限公司 A kind of long-range enforcement approach of cloud platform, device, server and storage medium
CN113066291A (en) * 2021-03-19 2021-07-02 昆山宝创新能源科技有限公司 Monitoring method and device
CN113205037A (en) * 2021-04-28 2021-08-03 北京百度网讯科技有限公司 Event detection method and device, electronic equipment and readable storage medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109345435A (en) * 2018-12-07 2019-02-15 山东晴天环保科技有限公司 Occupy-street-exploit managing device and method
CN110363426A (en) * 2019-07-15 2019-10-22 软通动力信息技术有限公司 A kind of long-range enforcement approach of cloud platform, device, server and storage medium
CN113066291A (en) * 2021-03-19 2021-07-02 昆山宝创新能源科技有限公司 Monitoring method and device
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