CN118036997A

CN118036997A - Scheduling information generation method, device, electronic equipment and readable medium

Info

Publication number: CN118036997A
Application number: CN202410296846.8A
Authority: CN
Inventors: 王海超; 陈海峰; 李漫; 王旭; 邓亚欣
Original assignee: Zhongguancun Smart City Co Ltd
Current assignee: Zhongguancun Smart City Co Ltd
Priority date: 2024-03-15
Filing date: 2024-03-15
Publication date: 2024-05-14

Abstract

The embodiment of the disclosure discloses a scheduling information generation method, a scheduling information generation device, electronic equipment and a readable medium. One embodiment of the method comprises the following steps: determining an event information set; according to event reporting time, event description information and reporting source positioning information included in the event information, carrying out information grouping on the event information set to obtain an event information sequence group; for the event information sequence, the following processing steps are performed: determining an event occurrence area according to reporting source positioning information included in event information in an event information sequence; a monitoring video set corresponding to an event occurrence area in a video acquisition interval is called; generating event auxiliary scheduling information according to the monitoring video set and the event information sequence; and forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object. This embodiment improves the efficiency of subsequent event handling.

Description

Scheduling information generation method, device, electronic equipment and readable medium

Technical Field

Embodiments of the present disclosure relate to the field of computer technology, and in particular, to a method, an apparatus, an electronic device, and a readable medium for generating scheduling information.

Background

Event handling is one way of handling events by reporting event descriptions of objects from the events. Currently, in event handling, the following methods are generally adopted: and by setting an event handling center, the events initiated by the event reporting object are intensively accepted.

However, the inventors found that when the above manner is adopted, there are often the following technical problems:

For the same event, there are often multiple event report objects, that is, multiple approximate event information is generated, which may cause repeated processing of the event, resulting in low event handling efficiency.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.

Disclosure of Invention

The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose a scheduling information generation method, apparatus, electronic device, and readable medium to solve one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a scheduling information generating method, the method including: determining an event information set, wherein the event information in the event information set comprises: event reporting time, event description information and reporting source positioning information; according to event reporting time, event description information and reporting source positioning information included in the event information, carrying out information grouping on the event information set to obtain an event information sequence group, wherein each event information in the event information sequence corresponds to the same event; for each event information sequence in the above-described event information sequence group, the following processing steps are performed: determining an event occurrence area according to report source positioning information included in the event information sequence; a monitoring video set corresponding to the event occurrence area in a video acquisition interval is called, wherein the video acquisition interval is determined according to event reporting time included in event information in the event information sequence; generating event auxiliary scheduling information according to the monitoring video set and the event information sequence, wherein the event auxiliary scheduling information comprises the following components: event summary information, event severity, event type, event scheduling policy information, and event handling objects; and forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object.

In a second aspect, some embodiments of the present disclosure provide a scheduling information generating apparatus, the apparatus including: a determining unit configured to determine an event information set, wherein event information in the event information set includes: event reporting time, event description information and reporting source positioning information; the information grouping unit is configured to group the event information set according to the event reporting time, the event description information and the reporting source positioning information included in the event information to obtain an event information sequence group, wherein each event information in the event information sequence corresponds to the same event; an execution unit configured to execute, for each event information sequence in the event information sequence group, the following processing steps: determining an event occurrence area according to report source positioning information included in the event information sequence; a monitoring video set corresponding to the event occurrence area in a video acquisition interval is called, wherein the video acquisition interval is determined according to event reporting time included in event information in the event information sequence; generating event auxiliary scheduling information according to the monitoring video set and the event information sequence, wherein the event auxiliary scheduling information comprises the following components: event summary information, event severity, event type, event scheduling policy information, and event handling objects; and forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object.

In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

The above embodiments of the present disclosure have the following advantageous effects: by the scheduling information generation method of some embodiments of the present disclosure, event handling efficiency is improved. Specifically, the reason for the inefficiency of event handling is that: for the same event, there are often multiple event report objects, that is, multiple approximate event information is generated, which may cause repeated processing of the event, resulting in low event handling efficiency. Based on this, the scheduling information generating method of some embodiments of the present disclosure first determines an event information set, where event information in the event information set includes: event reporting time, event description information and reporting source positioning information. Secondly, according to event reporting time, event description information and reporting source positioning information included in the event information, carrying out information grouping on the event information set to obtain an event information sequence group, wherein each event information in the event information sequence corresponds to the same event. Thereby merging event information corresponding to the same event. Next, for each event information sequence in the event information sequence group described above, the following processing steps are performed: first, determining an event occurrence area according to report source positioning information included in event information in the event information sequence. Thereby substantially defining an event occurrence area. And secondly, a monitoring video set corresponding to the event occurrence area in a video acquisition interval is acquired, wherein the video acquisition interval is determined according to event reporting time included in the event information sequence. Thirdly, generating event auxiliary scheduling information according to the monitoring video set and the event information sequence, wherein the event auxiliary scheduling information comprises the following components: event summary information, event severity, event type, event scheduling policy information, and event handling objects. And combining the event information reported by the event reporting object with the monitoring video to generate corresponding event auxiliary scheduling information in a fusion way. And step four, forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object. By the method, the combination of the event information corresponding to the same event is realized, and the corresponding event auxiliary scheduling information is generated by combining the monitoring video assistance, so that the subsequent event handling efficiency is greatly improved.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 is a flow chart of some embodiments of a scheduling information generating method according to the present disclosure;

Fig. 2 is a schematic structural diagram of some embodiments of a scheduling information generating apparatus according to the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Referring to fig. 1, a flow 100 of some embodiments of a scheduling information generating method according to the present disclosure is shown. The scheduling information generating method comprises the following steps:

Step 101, determining an event information set.

In some embodiments, an executing body (e.g., computing device) of the scheduling information generating method may determine the set of event information. Wherein the event information in the event information set is event information to be processed. The event information in the event information set includes: event reporting time, event description information and reporting source positioning information. The event reporting time characterizes the time of the event reporting object reporting the event. The event description information may be an event description of the event by the event report object. For example, the report source location information may characterize a GPS (Global Positioning System ) location of the event report object. For another example, the report source positioning information may represent the Beidou positioning system positioning of the event report object.

As an example, when a fire event occurs, an alarm object (event report object) of an area where the fire is located may report event information about the fire event. Specifically, the event information may be { event report time: XX is divided into XX seconds in XX year, XX month and XX; event description information: a fire disaster occurs in the XX position of the XX path; reporting source positioning information: east longitude X north latitude X }.

The calculation means may be hardware or software. When the computing device is hardware, the computing device may be implemented as a distributed cluster formed by a plurality of servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein. It should be appreciated that the number of computing devices may be any number, depending only on implementation needs.

In some optional implementations of some embodiments, the executing body may determine the event information set, and may include the following steps:

and firstly, responding to an event report request initiated by the event report object, and carrying out response dialogue with the event report object through the target virtual response object so as to generate response information.

In practice, for example, the executing entity may initiate an event report request to the executing entity by means of telephone communication. For another example, the executing body may initiate an event report request to the executing body by means of a video call. The target virtual response object is a virtual response object in a response idle state extracted from the virtual response object pool. The virtual answer object may be an AI (ARTIFICIAL INTELLIGENCE ) question-answer object with answer capabilities. In practice, the execution body may create a plurality of multi-threaded question-answer objects, and different question-answer objects are used to perform answer dialogues with different event reporting objects. The execution body can control the number of the virtual response objects in the virtual response object pool in real time according to response requirements. To ensure that there are a sufficient number of virtual reply objects to handle multiple event report requests that are generated in parallel.

And secondly, determining the request time corresponding to the event report request.

In practice, the executing entity may use the time when the event report request is received as the request time.

And thirdly, determining the reporting source position corresponding to the event reporting object.

In practice, when the event report request is received, the execution body may track reversely, and determine the report source position corresponding to the event report object by using a triangle positioning manner.

And fourth, packaging the response information, the request time and the reporting source position to generate candidate event information.

In practice, the executing body may encapsulate the response information, the request time, and the reporting source location into JSON (JavaScript Object Notation) format as the candidate event information.

Step 102, according to event reporting time, event description information and reporting source positioning information included in the event information, carrying out information grouping on the event information set to obtain an event information sequence group.

In some embodiments, the executing body may group the event information set according to event reporting time, event description information and reporting source positioning information included in the event information, to obtain an event information sequence group. Wherein each event information in the event information sequence corresponds to the same event. In practice, different event report objects may initiate multiple event information in close time, so that in order to avoid repeated event information processing for the same event, it is necessary to group the event information sets. Specifically, the execution main body performs information grouping on the event information set through a clustering algorithm according to event reporting time, event description information and reporting source positioning information included in the event information to obtain an event information sequence group. For example, the clustering algorithm may be a K-means clustering algorithm.

In some optional implementations of some embodiments, the executing body may group the event information set according to event reporting time, event description information and reporting source positioning information included in the event information, to obtain an event information sequence group, and may include the following steps:

first, for each event information in the event information set, the following processing steps are performed:

And a first sub-step, performing feature extraction on the event description information included in the event information through a pre-trained event description information feature extraction model so as to generate event description information features.

The event description information feature extraction model may include: 4 encoders connected in series. The encoder includes: 2 self-attention heads and 1 feedforward neural network.

And a second sub-step, carrying out time standardization on the event reporting time included in the event information to obtain the standardized event reporting time.

In practice, the execution body may time normalize the event reporting time by using a time () function in a time library, so as to obtain a normalized event reporting time.

And a third sub-step, carrying out locating point standardization on the reporting source locating information included in the event information to obtain standardized reporting source locating information.

In practice, the execution subject can normalize the positioning point of the reporting source positioning information through 0-1 normalization to obtain normalized reporting source positioning information. Specifically, the execution body may map the reporting source positioning information to a 0-1 interval, so as to obtain the standardized reporting source positioning information.

And a fourth sub-step, performing feature splicing on the event description information feature, the standardized event reporting time and the standardized reporting source positioning information to obtain a spliced event feature.

And secondly, carrying out event information clustering on the event information set according to the obtained spliced time feature set to obtain the event information sequence group.

In practice, the execution main body may perform event information clustering on the event information set through an SVM (Support Vector Machine ) algorithm according to the obtained spliced time feature set, so as to obtain the event information sequence group.

Step 103, for each event information sequence in the event information sequence group, performing the following processing steps:

Step 1031, determining an event occurrence area according to the report source positioning information included in the event information sequence.

In some embodiments, the executing body may determine the event occurrence area according to report source location information included in the event information sequence. The event occurrence area refers to an area where an event is generated. For example, the event occurrence area may be a fire occurrence area. In practice, the report source positioning information corresponding to the event report object may be different from the actual event occurrence area. For example, the position corresponding to the reported source positioning information is located in the event occurrence area. For another example, the position corresponding to the reported source positioning information is close to the event occurrence area.

As an example, first, the execution body may determine a location average value of reporting source location information included in each event information in the event information sequence. Then, an area with the position mean value as the center and the preset radius as the radius is determined as the event occurrence area.

In some optional implementations of some embodiments, the determining, by the executing body, an event occurrence area according to report source location information included in the event information sequence may include the following steps:

The first step is to divide the event information sequence by taking a preset division point as a division point to obtain a first event information sequence and a second event information sequence.

Wherein the first event information is the first event information in the event information sequence. The second event information sequence is event information other than the first position in the event information sequence.

As an example, the event information sequence may be [ event information a, event information B, piece information C, event information D ]. Thus, the first event information may be event information a. The second sequence of event information may be event information B, event information C, event information D.

And secondly, generating an initial event occurrence area according to the report source positioning information included in the first event information.

In practice, the initial event occurrence area may be a location point corresponding to the report source positioning information included in the first event information. Third, according to the initial event occurrence area and the second event information sequence, the following area determining step is performed:

And a first sub-step of randomly selecting two second event information from the second event information sequence as a target event information pair.

As an example, the second sequence of event information may be [ event information B, piece information C, event information D ]. The target event information pair may be [ event information B, event information C ].

Alternatively, when the second event information sequence includes only 1 second event information, the execution body may directly use the second event information sequence as the target event information pair, and execute the fifth sub-step.

And a second sub-step of determining the position relationship between the reporting source position corresponding to the reporting source position included in the target event information pair and the adjacent reporting source position in the initial event occurrence area.

Wherein, the positional relationship includes: the ipsilateral positional relationship and the non-ipsilateral positional relationship. The same-side position relation characterizes the same side of the reporting source position, which corresponds to the adjacent reporting source position of the reporting source position in the initial event occurrence area, of the reporting source positioning information included in each target event information in the target event information pair. The non-same side position relation characterizes non-same sides of reporting source positions, adjacent to the reporting source positions in the initial event occurrence area, of reporting source positioning information included in each target event information in the target event information pair. In practice, the executing body can construct an X-Y coordinate system, and determine the position relationship by comparing the abscissa or the ordinate of the reported source position.

As an example, when the area determining step is performed for the first time, the initial event occurrence area contains only the reporting source position corresponding to the event information a. When the abscissa interval formed by the reporting source positions corresponding to the event information B and the event information C is positioned at the left side of the abscissa of the reporting source position corresponding to the event information A, the position relationship is the same-side position relationship. When the abscissa interval formed by the reporting source positions corresponding to the event information B and the event information C is positioned on the right side of the abscissa of the reporting source position corresponding to the event information A, the position relationship is the same-side position relationship. When the abscissa of the reporting source position corresponding to the event information A is located in the abscissa interval formed by the reporting source positions corresponding to the event information B and the event information C, the position relationship is a non-side position relationship. The judgment manner based on the position relationship of the ordinate is the same and is not described in detail here.

And a third sub-step of respectively determining the reporting source position corresponding to the reporting source position included in each target event information in the target event information pair and the regional variation trend formed by the adjacent reporting source positions in the initial event occurrence region in response to the position relationship being the same-side position relationship.

Wherein the region change trend includes: a region enlargement tendency and a region reduction tendency. In practice, the executing body may update the region change trend corresponding to the target event information with the absolute value of the line slope being the maximum value to the region expansion trend, and update the region change trend corresponding to the target event information with the absolute value of the line slope being the minimum value to the region reduction trend, where the report source location information is included in the target event information and corresponds to the report source position, and the line slope is formed by the report source position adjacent to the initial event occurrence region.

As an example, the slope of a straight line formed by the reporting source position corresponding to the event information a and the reporting source position corresponding to the event information B is-1. The slope of a straight line formed by the reporting source position corresponding to the event information A and the reporting source position corresponding to the event information C is-1/2. Therefore, the region change trend corresponding to the event information B is a region expansion trend. The region change trend corresponding to the event information C is a region reduction trend.

And a fourth sub-step of updating the initial event occurrence area according to the target event information in the target event information pair, wherein the corresponding area change trend is an area expansion trend, so as to obtain an updated event occurrence area.

As an example, the region change trend corresponding to the event information B is a region expansion trend. Therefore, the execution body may connect the reporting source position corresponding to the event information B with the reporting source position corresponding to the adjacent event information. Specifically, when the area determining step is executed for the first time, the execution body may connect the reporting source position corresponding to the event information B with the reporting source position corresponding to the event information a.

And a fifth sub-step, in response to the position relationship being a non-same side position relationship, performing area update on the initial event occurrence area according to the target event information pair to obtain an updated event occurrence area.

As an example, when the area determining step is performed for the first time, the execution body may connect the reporting source position corresponding to the event information B and the reporting source position corresponding to the event information C with the reporting source position corresponding to the event information a, respectively.

And a sixth substep of determining the updated event occurrence area as a candidate event occurrence area in response to the second event information sequence excluding the target event information pair being a null sequence.

And a fourth step of executing the above-mentioned region determining step again with the second event information sequence from which the target event information pair is removed as the second event information sequence and the candidate event occurrence region as the initial event occurrence region in response to the second event information sequence from which the target event information pair is removed being a non-null sequence and the positional relationship being a non-ipsilateral positional relationship.

As an example, the execution subject may execute the region determining step again with the event information D as the second event information sequence.

And fifthly, in response to the second event information sequence of the removal target event information pair being a non-null sequence and the position relationship being the same-side position relationship, taking the second event information sequence of the removal target event information of which the corresponding region change trend is a region expansion trend as the second event information sequence, taking the candidate event occurrence region as the initial event occurrence region, and executing the region determining step again.

As an example, the execution subject may execute the region determining step again with the event information C and the event information D as the second event information sequence.

And sixthly, determining the area of the candidate event occurrence area and the corresponding event density.

The candidate event occurrence area is a closed area surrounded by reporting source positions corresponding to event information. In practice, the execution body may use the ratio of the number of reporting source positions included in the candidate event occurrence area to the area of the area as the event density.

And seventh, determining the region scaling factor according to the region area and the event density.

Wherein the region scaling factor is used to control the scaling up or scaling down of the candidate event occurrence region. In practice, the candidate event occurrence area and the occurrence area of the actual event may be inclusion relationships, intersection relationships, or no intersection relationships. In the case of inclusion, the candidate event occurrence area needs to be appropriately narrowed down to facilitate subsequent surveillance video retrieval. When an intersection relationship is present or not, it is necessary to appropriately enlarge the candidate event occurrence area so that a monitoring source capable of recording the occurrence area of the actual event is located within the event occurrence area. Specifically, the execution body may map to obtain the region scaling factor through a preset region area and an interval of the event density.

And eighth, carrying out region scaling on the candidate event occurrence region according to the region scaling coefficient to obtain the event occurrence region.

In practice, the execution body may control the region change of the candidate event occurrence region based on the region scaling factor with respect to the candidate event occurrence region as a center, to obtain the event occurrence region.

The above "in some alternative implementations of some embodiments" serves as an inventive point of the present disclosure. In practice, when there are multiple event information for the same event, the reporting source positioning information of the reporting object of different events is different, so that the determination of the occurrence position of the event cannot be effectively assisted. Based on the above, the present disclosure obtains the candidate event occurrence area by determining the position relationship of the reporting source position corresponding to the event information and the corresponding area change trend. Meanwhile, considering the relation between the candidate event sending area and the actual event occurrence position, the scaling of the candidate event occurrence area is controlled by combining the area of the candidate event sending area and the event density, so that the accurate event occurrence area positioning is realized. Meanwhile, the monitoring source of the event occurrence position can be effectively pulled by controlling the event occurrence area so as to assist in decision-making.

Step 1032, retrieving the surveillance video set corresponding to the event occurrence area in the video acquisition interval.

In some embodiments, the executing body may call a surveillance video set corresponding to an event occurrence area in a video acquisition interval. The video acquisition interval is determined according to event reporting time included in the event information sequence. Specifically, the video acquisition interval may be a time interval formed by event reporting times included in each event information in the event information sequence. In practice, the executing body may call the monitoring video set corresponding to the event occurrence area in the video acquisition interval in a wireless connection manner.

In some optional implementations of some embodiments, the executing body may call a surveillance video set corresponding to an event occurrence area in a video collection interval, and may include the following steps:

and a first step of determining the monitoring source in the working state in the event occurrence area to obtain a monitoring source set.

In practice, the execution body may scan the monitoring sources in the event occurrence area according to the working states of the monitoring sources, to obtain the monitoring source set.

And secondly, for each monitoring source in the monitoring source set, remotely pulling the video recorded by the monitoring source in the video acquisition interval to serve as the monitoring video in the monitoring video set.

In practice, the executing body may remotely pull the video recorded by the monitoring source in the video acquisition interval through a wired connection or a wireless connection.

It should be noted that the wireless connection may include, but is not limited to, 3G/4G/5G connections, wiFi connections, bluetooth connections, wiMAX connections, zigbee connections, UWB (ultra wideband) connections, and other now known or later developed wireless connection means.

Step 1033, generating event auxiliary scheduling information according to the monitoring video set and the event information sequence.

In some embodiments, the executing entity may generate the event assisted scheduling information according to the surveillance video set and the event information sequence. The event assisted scheduling information may be assistance information for assisting an event handler in event handling. In practice, the execution subject may use a generated pre-training model to generate event assisted scheduling information according to the surveillance video set and the event information sequence. Specifically, the generative pre-training model may be a GPT (GENERATIVE PRE-trained Transformer) model. The event assisted scheduling information includes: event summary information, event severity, event type, event scheduling policy information, and event handling objects.

In some optional implementations of some embodiments, the executing body may generate the event assisted scheduling information according to the surveillance video set and the event information sequence, and may include the following steps:

And generating the event auxiliary scheduling information through a pre-trained auxiliary scheduling information generation model, the monitoring video set and the event information sequence.

Wherein, the auxiliary scheduling information generation model comprises: the system comprises a video feature extraction model, an event information feature extraction model, a feature association model and an auxiliary scheduling information prediction model. In practice, the video feature extraction model may employ the EFFICIENTNET model. The event information feature extraction model may share an event description information feature extraction model. The feature correlation model may be a model for feature fusion of features output by the video feature extraction model and features output by the event information feature extraction model. In practice, the feature correlation model may include 6 fully connected layers connected in series. Specifically, since the video feature extraction model and the event information feature extraction model have already performed feature extraction, the auxiliary scheduling information prediction model may include: 4 transducer blocks, 2 text pre-headers and 1 classifier. The 1 text pre-header is used for respectively generating event summary information and time scheduling strategy information. The 1 classifier was used to generate event severity and event type, respectively. In practice, the execution subject may associate a corresponding event processing object according to the event type.

Step 1034, forwarding the event assisted scheduling information to the information receiving end corresponding to the event processing object.

In some embodiments, the executing body may forward the event assisted scheduling information to the information receiving end corresponding to the event processing object through a wireless connection or a wired connection. The information receiving end may be a terminal for receiving event information corresponding to the event assisted scheduling information. Specifically, the information receiving end may be hardware or software.

With further reference to fig. 2, as an implementation of the method shown in the above figures, the present disclosure provides some embodiments of a scheduling information generating apparatus, which correspond to those method embodiments shown in fig. 1, and which are particularly applicable to various electronic devices.

As shown in fig. 2, the scheduling information generating apparatus 200 of some embodiments includes: a determining unit 201, an information grouping unit 202 and an executing unit 203. Wherein the determining unit 201 is configured to determine an event information set, wherein the event information in the event information set includes: event reporting time, event description information and reporting source positioning information; an information grouping unit 202 configured to perform information grouping on the event information set according to event reporting time, event description information and reporting source positioning information included in the event information, so as to obtain an event information sequence group, where each event information in the event information sequence corresponds to the same event; an execution unit 203 configured to execute, for each event information sequence in the event information sequence group, the following processing steps: determining an event occurrence area according to report source positioning information included in the event information sequence; a monitoring video set corresponding to the event occurrence area in a video acquisition interval is called, wherein the video acquisition interval is determined according to event reporting time included in event information in the event information sequence; generating event auxiliary scheduling information according to the monitoring video set and the event information sequence, wherein the event auxiliary scheduling information comprises the following components: event summary information, event severity, event type, event scheduling policy information, and event handling objects; and forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object.

It will be appreciated that the elements described in the scheduling information generating apparatus 200 correspond to the respective steps in the method described with reference to fig. 1. Thus, the operations, features and advantages described above for the method are equally applicable to the scheduling information generating apparatus 200 and the units contained therein, and are not described herein.

Referring now to fig. 3, a schematic diagram of an electronic device (e.g., computing device) 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with programs stored in a read-only memory 302 or programs loaded from a storage 308 into a random access memory 303. In the random access memory 303, various programs and data necessary for the operation of the electronic device 300 are also stored. The processing means 301, the read only memory 302 and the random access memory 303 are connected to each other by a bus 304. An input/output interface 305 is also connected to the bus 304.

In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from read only memory 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.

It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (Hyper Text Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: determining an event information set, wherein the event information in the event information set comprises: event reporting time, event description information and reporting source positioning information; according to event reporting time, event description information and reporting source positioning information included in the event information, carrying out information grouping on the event information set to obtain an event information sequence group, wherein each event information in the event information sequence corresponds to the same event; for each event information sequence in the above-described event information sequence group, the following processing steps are performed: determining an event occurrence area according to report source positioning information included in the event information sequence; a monitoring video set corresponding to the event occurrence area in a video acquisition interval is called, wherein the video acquisition interval is determined according to event reporting time included in event information in the event information sequence; generating event auxiliary scheduling information according to the monitoring video set and the event information sequence, wherein the event auxiliary scheduling information comprises the following components: event summary information, event severity, event type, event scheduling policy information, and event handling objects; and forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object.

Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes a determination unit, an information grouping unit, and an execution unit. The names of the units do not limit the unit itself in some cases, for example, the information grouping unit may also be described as "a unit that performs information grouping on the above-mentioned event information set according to event reporting time, event description information and reporting source positioning information included in the event information, so as to obtain an event information sequence group, where each event information in the event information sequence corresponds to the same event".

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims

1.A scheduling information generation method, comprising:

determining an event information set, wherein the event information in the event information set comprises: event reporting time, event description information and reporting source positioning information;

According to event reporting time, event description information and reporting source positioning information included in the event information, carrying out information grouping on the event information set to obtain an event information sequence group, wherein each event information in the event information sequence corresponds to the same event;

For each event information sequence in the set of event information sequences, performing the following processing steps:

determining an event occurrence area according to reporting source positioning information included in event information in the event information sequence;

A monitoring video set corresponding to the event occurrence area in a video acquisition interval is called, wherein the video acquisition interval is determined according to event reporting time included in event information in the event information sequence;

Generating event auxiliary scheduling information according to the monitoring video set and the event information sequence, wherein the event auxiliary scheduling information comprises: event summary information, event severity, event type, event scheduling policy information, and event handling objects;

And forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object.

2. The method of claim 1, wherein the determining the set of event information comprises:

responding to an event report request initiated by an event report object, and carrying out response dialogue with the event report object through a target virtual response object to generate response information, wherein the target virtual response object is a virtual response object which is extracted from a virtual response object pool and is in a response idle state;

Determining the request time corresponding to the event report request;

Determining a reporting source position corresponding to the event reporting object;

Packaging the response information, the request time and the reporting source position to generate candidate event information;

The candidate event information is used as an event to be processed and is put into an event information pool to be processed, wherein the event information pool to be processed is used for caching the event information to be processed, and the event information to be processed is event information with an event state being the state to be processed;

extracting the event information to be processed from the event information pool to obtain the event information set according to an extraction strategy, wherein the strategy type of the extraction strategy comprises: time policy type, zone policy type, and space-time policy type.

3. The method of claim 2, wherein the grouping the event information set according to the event reporting time, the event description information and the reporting source positioning information included in the event information to obtain the event information sequence group includes:

For each event information in the set of event information, performing the following processing steps:

performing feature extraction on event description information included in the event information through a pre-trained event description information feature extraction model so as to generate event description information features;

Time standardization is carried out on event reporting time included in the event information, and standardized event reporting time is obtained;

carrying out locating point standardization on reporting source locating information included in the event information to obtain standardized reporting source locating information;

Performing feature stitching on the event description information features, the normalized event reporting time and the normalized reporting source positioning information to obtain stitched event features;

and clustering the event information according to the obtained spliced time feature set to obtain the event information sequence group.

4. The method of claim 3, wherein the retrieving the surveillance video set corresponding to the event occurrence area within the video acquisition interval comprises:

determining a monitoring source in a working state in the event occurrence area to obtain a monitoring source set;

And for each monitoring source in the monitoring source set, remotely pulling the video recorded by the monitoring source in the video acquisition interval to serve as the monitoring video in the monitoring video set.

5. The method of claim 4, wherein the determining the event occurrence area according to the report source location information included in the event information sequence includes:

Dividing the event information sequence by taking a preset division point as a division point to obtain first event information and a second event information sequence, wherein the first event information is event information of a first position in the event information sequence, and the second event information sequence is event information except the first position in the event information sequence;

generating an initial event occurrence area according to reporting source positioning information included in the first event information;

according to the initial event occurrence area and the second event information sequence, the following area determining steps are executed:

randomly selecting two second event information from the second event information sequence to serve as a target event information pair;

Determining the position relationship between reporting source positioning information included in target event information in a target event information pair and the adjacent reporting source position in an initial event occurrence area, wherein the position relationship comprises the following steps: the same side positional relationship and the non-same side positional relationship;

Responding to the position relationship as the same side position relationship, respectively determining reporting source position corresponding to reporting source positioning information included in each target event information in the target event information pair, and region change trend formed by adjacent reporting source positions in the initial event occurrence region, wherein the region change trend comprises: a region enlargement tendency and a region reduction tendency;

According to the target event information in the target event information pair, wherein the corresponding region change trend is a region expansion trend, updating the initial event occurrence region to obtain an updated event occurrence region;

Responding to the position relationship as a non-same side position relationship, and carrying out area update on the initial event occurrence area according to the target event information pair to obtain an updated event occurrence area;

In response to the second event information sequence of the removed target event information pair being a null sequence, determining an updated event occurrence region as a candidate event occurrence region;

In response to the second event information sequence of the removed target event information pair being a non-null sequence and the positional relationship being a non-ipsilateral positional relationship, taking the second event information sequence of the removed target event information pair as a second event information sequence, and taking the candidate event occurrence region as an initial event occurrence region, executing the region determining step again;

And in response to the second event information sequence from which the target event information pair is removed being a non-null sequence and the positional relationship being a same-side positional relationship, the region determining step is performed again with the second event information sequence from which the target event information from which the corresponding region variation trend is a region expansion trend is removed being taken as the second event information sequence and the candidate event occurrence region being taken as the initial event occurrence region.

6. The method of claim 5, wherein the determining the event occurrence area according to the report source location information included in the event information sequence further comprises:

determining the area of a candidate event occurrence area and the corresponding event density;

Determining a region scaling factor according to the region area and the event density;

and carrying out region scaling on the candidate event occurrence region according to the region scaling coefficient to obtain the event occurrence region.

7. The method of claim 6, wherein the generating event assisted scheduling information from the surveillance video set and the sequence of event information comprises:

Generating the event auxiliary scheduling information through a pre-trained auxiliary scheduling information generation model, the monitoring video set and the event information sequence, wherein the auxiliary scheduling information generation model comprises the following steps: the system comprises a video feature extraction model, an event information feature extraction model, a feature association model and an auxiliary scheduling information prediction model.

8. A scheduling information generating apparatus comprising:

a determining unit configured to determine a set of event information, wherein event information in the set of event information includes: event reporting time, event description information and reporting source positioning information;

The information grouping unit is configured to group the event information set according to event reporting time, event description information and reporting source positioning information included in the event information to obtain an event information sequence group, wherein each event information in the event information sequence corresponds to the same event;

An execution unit configured to execute, for each event information sequence in the event information sequence group, the following processing steps: determining an event occurrence area according to reporting source positioning information included in event information in the event information sequence; a monitoring video set corresponding to the event occurrence area in a video acquisition interval is called, wherein the video acquisition interval is determined according to event reporting time included in event information in the event information sequence; generating event auxiliary scheduling information according to the monitoring video set and the event information sequence, wherein the event auxiliary scheduling information comprises: event summary information, event severity, event type, event scheduling policy information, and event handling objects; and forwarding the event auxiliary scheduling information to an information receiving end corresponding to the event processing object.

9. An electronic device, comprising:

One or more processors;

A storage device having one or more programs stored thereon;

When executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1 to 7.

10. A computer readable medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1 to 7.