CN110751080A

CN110751080A - Gathering early warning method and system for abnormal personnel and related device

Info

Publication number: CN110751080A
Application number: CN201910984203.1A
Authority: CN
Inventors: 吴益平; 曾欣
Original assignee: Zhejiang Dahua Technology Co Ltd
Current assignee: Zhejiang Dahua Technology Co Ltd
Priority date: 2019-10-16
Filing date: 2019-10-16
Publication date: 2020-02-04

Abstract

The application discloses a gathering early warning method and system for abnormal personnel and a related device. The gathering early warning method for the abnormal personnel comprises the following steps: sending a deployment and control instruction to acquisition equipment; the control command comprises preset characteristic information of at least one abnormal person; receiving preliminary early warning information from acquisition equipment, wherein the preliminary early warning information is generated when the acquisition equipment determines that abnormal personnel exist by comparing acquired personnel characteristic information with preset characteristic information; judging whether the current abnormal personnel condition meets a preset gathering condition or not based on the received plurality of pieces of preliminary early warning information; if yes, generating gathering early warning information with abnormal personnel gathering. By the scheme, gathering early warning of abnormal personnel can be realized, and the maintenance, the security and the stability are facilitated.

Description

Gathering early warning method and system for abnormal personnel and related device

Technical Field

The present application relates to the field of information technology, and in particular, to a method, a system, and a related device for early warning of an abnormal person gathering.

Background

In modern security and police activities, the negative impact due to the gathering of abnormal persons is often greater than that of abnormal individual persons. For example, the group subject to illegal funding frauds illegally gathers around the meeting place during a major event or a meeting, which not only affects the normal operation of the event or the meeting, but also easily causes traffic jam and even a stepping event, thereby bringing about extremely bad social influence. If the gathering of abnormal personnel can be anticipated, intervention can be performed as early as possible, so that negative influence can be reduced, and the safety and stability can be maintained. In view of this, how to realize the gathering early warning of abnormal personnel becomes an urgent problem to be solved.

Disclosure of Invention

The technical problem mainly solved by the application is to provide an abnormal personnel gathering early warning method, an abnormal personnel gathering early warning system and a related device, which can realize gathering early warning of abnormal personnel and are beneficial to maintaining security and stability.

In order to solve the above problem, a first aspect of the present application provides a method for early warning of gathering of abnormal people, including sending a deployment and control instruction to a collection device; the control command comprises preset characteristic information of at least one abnormal person; receiving preliminary early warning information from acquisition equipment, wherein the preliminary early warning information is generated when the acquisition equipment determines that abnormal personnel exist by comparing acquired personnel characteristic information with preset characteristic information; judging whether the current abnormal personnel condition meets a preset gathering condition or not based on the received plurality of pieces of preliminary early warning information; if yes, generating gathering early warning information with abnormal personnel gathering.

In order to solve the above problems, a second aspect of the present application provides an abnormal person gathering early warning device, which includes a sending module, a receiving module, a determining module, and a generating module, where the sending module is configured to send a deployment and control instruction to a collecting device; the control command comprises preset characteristic information of at least one abnormal person; the receiving module is used for receiving preliminary early warning information from the acquisition equipment, wherein the preliminary early warning information is generated when the acquisition equipment determines that abnormal personnel exist by comparing the acquired personnel characteristic information with preset characteristic information; the judging module is used for judging whether the current abnormal personnel condition meets the preset gathering condition or not based on the received plurality of pieces of preliminary early warning information; the generation module is used for generating gathering early warning information with gathering of abnormal personnel when judging whether the current abnormal personnel condition meets the preset gathering condition.

In order to solve the above problem, a third aspect of the present application provides an aggregation warning device for abnormal people, including a memory, a processor, and a communication circuit, wherein the memory and the communication circuit are coupled to the processor; the memory, processor, and communication circuit are operable to implement the method of the first aspect.

In order to solve the above problem, a fourth aspect of the present application provides a storage device storing program instructions executable by a processor, the program instructions being for implementing the method of the first aspect.

In order to solve the above problem, a fifth aspect of the present application provides an aggregation early warning system for abnormal people, including aggregation early warning equipment and a plurality of acquisition equipment; wherein, a plurality of collection equipment are connected with gathering early warning equipment, and collection equipment is used for gathering personnel's characteristic information, and gathering early warning equipment is the equipment of above-mentioned third aspect.

According to the scheme, the control command comprising the preset characteristic information of at least one abnormal person is sent to the acquisition equipment, so that the acquisition equipment can determine that the abnormal person exists and generate preliminary early warning information by comparing the acquired characteristic information with the preset characteristic information, whether the current abnormal person condition accords with the preset aggregation condition can be judged based on a plurality of preliminary early warning information, the aggregation early warning information of the abnormal person aggregation is generated when the current abnormal person condition is judged to accord with the preset aggregation condition, the aggregation early warning of the abnormal person is realized, the early intervention as far as possible is facilitated, and the stability of public security and public security is facilitated to maintain.

Drawings

FIG. 1 is a block diagram of an embodiment of an aggregation warning system for abnormal persons according to the present application;

FIG. 2 is a schematic flow chart of an embodiment of a method for early warning of aggregation of abnormal persons according to the present application;

FIG. 3 is a flowchart illustrating an embodiment of step S23 in FIG. 2;

FIG. 4 is a flowchart illustrating an embodiment of step S231 in FIG. 3;

FIG. 5 is a flowchart illustrating an embodiment of step S232 in FIG. 3;

FIG. 6 is a flowchart illustrating an embodiment of step S2323 shown in FIG. 5;

FIG. 7 is a schematic flow chart diagram illustrating another embodiment of a method for warning of an abnormal situation;

FIG. 8 is a schematic flow chart diagram illustrating a method for warning the gathering of abnormal persons according to another embodiment of the present application;

FIG. 9 is a schematic flow chart diagram illustrating a method for warning of an abnormal gathering of people according to another embodiment of the present disclosure;

FIG. 10 is a schematic diagram of a framework of an embodiment of an aggregation warning device for abnormal persons according to the present application;

FIG. 11 is a block diagram of an embodiment of an aggregation warning device for abnormal persons according to the present application;

FIG. 12 is a block diagram of an embodiment of a memory device according to the present application.

Detailed Description

The following describes in detail the embodiments of the present application with reference to the drawings attached hereto.

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.

This application is through sending the cloth accuse instruction that includes at least one unusual personnel and predetermine the characteristic information to collection equipment, make collection equipment can confirm to have unusual personnel and produce preliminary early warning information through comparing the personnel characteristic information who gathers with predetermineeing the characteristic information, thereby can judge whether current unusual personnel condition accords with and predetermines the gathering condition based on a plurality of preliminary early warning information, and then the gathering early warning information that has unusual personnel gathering is generated when judging current unusual personnel condition accords with and predetermines the gathering condition, in order to realize unusual personnel's gathering early warning, be favorable to intervening as early as possible, and then be favorable to maintaining the security and stability.

For ease of understanding, the aggregation warning system for abnormal persons in the present application will be first exemplified. Referring to fig. 1, fig. 1 is a schematic diagram of a framework of an embodiment of an aggregation warning system for abnormal people according to the present application. In this embodiment, the gathering early warning system for the abnormal person includes gathering early warning equipment and a plurality of acquisition devices. In one implementation scenario, the aggregation warning device may be a microcomputer, a tablet computer, or the like. In another implementation scenario, the aggregation early warning device may also be a server, and this embodiment is not limited in this respect. The aggregation early warning device in this embodiment may perform the steps in any one of the following embodiments of the aggregation early warning method for an abnormal person. The acquisition device may include a Media Access Control (MAC) acquisition unit, a face acquisition unit, a license plate acquisition unit, an identity acquisition unit, and the like. Wherein, a plurality of collection equipment are connected with gathering early warning device, and collection equipment is used for gathering personnel's characteristic information. For example, identity collection units located in hotels and internet cafes may collect identity card numbers; the license plate acquisition units arranged on roads and toll stations can acquire license plate numbers; the face acquisition unit arranged on the street, the market and the restaurant can acquire face data and the like. In an implementation scenario, the arrangement of the collecting devices is not limited thereto, and a plurality of collecting devices may be arranged in the same place in a combined manner, for example, a license plate collecting unit and a face collecting unit are simultaneously arranged at a toll station; the identity acquisition unit and the face acquisition unit are arranged in a hotel and an internet cafe, and the like, and the embodiment is not illustrated. In an implementation scenario, in order to reduce the processing load of the aggregation early warning device, the acquisition device may further compare the acquired personnel characteristic information with preset characteristic information sent by the aggregation early warning device on the basis of acquiring the personnel characteristic information, so as to determine whether abnormal personnel exist.

In an embodiment, please continue to refer to fig. 1, the aggregation early warning system for abnormal people may further include a scheduling device, the collecting device is connected to the aggregation early warning device through the scheduling device, and the scheduling device is configured to transmit information between the collecting device and the aggregation early warning. In one implementation scenario, in order to buffer the person feature information acquired by the multiple acquiring devices, thereby improving data throughput, the scheduling device may be a Kafka cluster.

Referring to fig. 2, fig. 2 is a schematic flow chart illustrating an embodiment of a method for warning aggregation of abnormal people according to the present application. Specifically, the method may include the steps of:

step S21: sending a deployment and control instruction to acquisition equipment; the control command comprises preset characteristic information of at least one abnormal person.

In an implementation scenario, in order to grasp the actions of the abnormal person as accurately and timely as possible, the preset feature information may include multiple dimensions, such as face data, license plate number, MAC address, identification number, and the like of the abnormal person, and accordingly, in order to acquire these pieces of information, the acquisition device may include a face acquisition unit, a license plate acquisition unit, an MAC acquisition unit, and an identity acquisition unit. The embodiment is not particularly limited herein.

In one implementation scenario, the aggregation early warning device may directly send the deployment instruction to the acquisition device. In another implementation scenario, referring to fig. 1 in combination, in order to improve data throughput, the aggregation early warning device may send a deployment instruction to the acquisition device through the scheduling device. The embodiment is not particularly limited herein.

Step S22: and receiving preliminary early warning information from the acquisition equipment, wherein the preliminary early warning information is generated when the acquisition equipment determines that abnormal personnel exist by comparing the acquired personnel characteristic information with preset characteristic information.

In an implementation scenario, when comparing the characteristic information of the person with the preset characteristic information, the acquisition device may determine whether an abnormal person exists according to the characteristics of the acquisition device, and further determine whether to generate preliminary warning information. For example, the acquisition device comprises an identity acquisition unit for acquiring the identity card number, and at the moment, the acquisition device can determine that abnormal personnel exist and generate preliminary early warning information when the acquired personnel characteristic information is completely consistent with the preset characteristic information; or, the acquisition device includes a face acquisition unit, configured to acquire face data, where the acquisition device may determine that abnormal persons exist when the acquired person feature information and preset feature information have a similarity greater than a preset value, and generate preliminary warning information, where the preset value may be 80%, 90%, and the like, where the preset value may be uniformly set when the acquisition unit is deployed, or may be sent to the acquisition device after the aggregation warning device generates a corresponding preset value according to a security level, for example, the security level is higher, the corresponding preset value may be set lower, for example, 50%, 55%, and the like, and the security level is lower, and the corresponding preset value may be set higher, for example, 90%, 95%, and the like, and this embodiment is not particularly limited herein; or the acquisition equipment comprises a license plate acquisition unit for acquiring license plate numbers, and the acquisition equipment can determine that abnormal personnel exist and generate preliminary early warning information when the acquired personnel characteristic information is completely consistent with the preset characteristic information; or the collection equipment comprises an MAC collection unit for collecting MAC addresses, and at the moment, the collection equipment can determine abnormal personnel and generate preliminary early warning information when the collected personnel characteristic information is completely consistent with the preset characteristic information, and the embodiment is not illustrated one by one.

In one implementation scenario, the acquisition device may directly send the preliminary warning information to the aggregation warning device. In another implementation scenario, referring to fig. 1 in combination, in order to improve data throughput, the aggregation early warning device may receive the preliminary early warning information sent by the scheduling device from the acquisition device. The embodiment is not particularly limited herein.

Step S23: and judging whether the current abnormal personnel condition meets the preset gathering condition or not based on the received plurality of preliminary early warning information. If yes, go to step S24.

In one implementation scenario, in order to fully understand the movement of the person with the abnormal situation, the preliminary warning information may include, in addition to the person feature information, location information, time information, and the like of the person with the abnormal situation. For example, the preliminary warning information reported by the collecting device in the internet bar includes: name, identification number, time, latitude and longitude, etc.; or, the preliminary early warning information reported by the collecting device arranged at the toll station includes: the number plate number, time, longitude and latitude, etc., which are not illustrated herein.

The preset aggregation condition may be that the current abnormal person has been aggregated or that the current abnormal person has a tendency to be aggregated. The current abnormal person is an abnormal person which is determined by comparing the characteristic information of the currently collected person with the preset characteristic information by the collection equipment. The number of abnormal persons may also increase or decrease with the passage of time, for example, the number of abnormal persons determined in the morning is 10 persons, the number of abnormal persons determined in the noon is 20 persons, the number of abnormal persons determined in the evening is 15 persons, and so on, and the embodiment is not illustrated here.

In an implementation scenario, in order to determine whether the current abnormal person is already aggregated, the preset aggregation condition may include that the number of the currently existing abnormal persons is greater than a first threshold, the first threshold may be set according to an actual situation, for example, according to a security level, if the security level is higher, the corresponding first threshold may be set lower, and if the security level is lower, the corresponding first threshold may be set higher, which is not specifically limited herein.

In another implementation scenario, in order to determine whether the current abnormal person has a tendency of gathering, the preset gathering condition may include that the trajectory tendency of the current abnormal person meets a preset trajectory tendency.

Step S24: and generating gathering early warning information with abnormal personnel gathering.

And if the current abnormal personnel condition is judged to accord with the preset aggregation condition, generating aggregation early warning information with abnormal personnel aggregation. In an implementation scenario, after the gathering early warning information with abnormal people gathering is generated, the gathering early warning information can be further displayed on an electronic map, so that the gathering condition of the abnormal people can be visually checked.

In an implementation scenario, if it is determined in the step S23 that the current abnormal person condition does not meet the preset aggregation condition, in order to visually show that there is no abnormal person aggregation currently for the user to refer to, the method may further include the following steps:

step S25: and generating normal prompt information without abnormal personnel aggregation.

In an implementation scenario, in order to form a closed-loop monitoring of the early warning of the abnormal people gathering, after the step S25, the step S22 and the subsequent steps may be executed again, so that the abnormal people gathering is continuously monitored in a case where there is no abnormal people gathering.

Referring to fig. 3, fig. 3 is a flowchart illustrating an embodiment of step S23 in fig. 2. Specifically, step S23 may include:

step S231: and acquiring the abnormal personnel currently existing based on the received plurality of pieces of preliminary early warning information.

Specifically, referring to fig. 4, fig. 4 is a schematic flowchart illustrating an embodiment of step S231 in fig. 3, and step S231 may include the following steps:

step S2311: and screening out the primary early warning information meeting the preset screening condition from the received plurality of primary early warning information.

In an implementation scenario, the received preliminary warning information may include position information for determining that an abnormal person exists, and the preset screening condition may be that the position information included in the received preliminary warning information belongs to a preset position range. The preset location range may be set by the user according to actual security requirements, for example, within one kilometer around a government office area, or within two kilometers around a city center square, and so on, which is not illustrated here.

In another implementation scenario, the received preliminary warning information may include position information and time information for determining that an abnormal person exists, the preset screening condition may be that the position information included in the received preliminary warning information belongs to a preset position range, and the time information included in the received preliminary warning information belongs to a preset time range. The preset position range and the preset time range may be set by the user according to an actual meeting or an activity schedule, for example, in middle of march, when an audition meeting is held in an auditorium in the middle of march, the preset position range may be set to be within two kilometers of a peripheral area of the auditorium, and the preset time range may be set to be the whole march, and so on.

Step S2312: and determining abnormal personnel determined to exist by each piece of screened preliminary early warning information.

For example, the preliminary early warning information that accords with the preset screening condition is screened out and includes preliminary early warning information 01, preliminary early warning information 02, preliminary early warning information 03, preliminary early warning information 04, in an implementation scenario, preliminary early warning information can contain personnel feature information, for example, name, identification card number, etc., thereby the unusual personnel who confirm the existence that preliminary early warning information corresponds can be directly confirmed, if preliminary early warning information 01 corresponds the unusual personnel a who confirm the existence, preliminary early warning information 02 corresponds the unusual personnel B who confirm the existence, preliminary early warning information 03 corresponds the unusual personnel a who confirm the existence, preliminary early warning information 04 corresponds the unusual personnel C who confirm the existence, this embodiment is no longer the one-to-one example here.

Step S2313: and identity duplication removal is carried out on the determined abnormal personnel to obtain the information of the currently existing abnormal personnel.

In an implementation scene, the preliminary early warning information that a plurality of collection equipment produced probably is to the same person and generate, collection equipment generates corresponding preliminary early warning information 01 when A drives through the toll station, collection equipment generates corresponding preliminary early warning information 03 again when going into the hotel, thereby preliminary early warning information 01 and preliminary early warning information 03 all correspond to A, consequently for statistics of unusual personnel's quantity more accurately, need carry out the identity deduplication to the unusual personnel of confirming, thereby obtain the unusual personnel information of current existence.

Step S232: and analyzing the abnormal personnel currently existing to judge whether the current abnormal personnel condition meets the preset aggregation condition.

In an implementation scenario, in order to determine whether the abnormal people are currently gathered, the preset gathering condition may include that the number of abnormal people currently existing is greater than a first threshold, and then the step S232 may include: counting the number of abnormal people currently existing, and judging whether the number is larger than a first threshold value. The first threshold may be set according to an actual situation, for example, according to a security level, if the security level is higher, the corresponding first threshold may be set to be lower, and if the security level is lower, the corresponding first threshold may be set to be higher, which is not limited in this embodiment.

In another implementation scenario, in order to determine whether the current abnormal person has a tendency to gather, the preset gathering condition may include that the trajectory tendency of the current abnormal person meets a preset trajectory tendency, please refer to fig. 5 in combination, where fig. 5 is a flowchart illustrating an embodiment of step S232 in fig. 3, and step S232 may include:

step S2321: and acquiring the information record of the abnormal personnel currently existing.

In an implementation scene, the acquisition equipment acquires the personnel characteristic information, compares the acquired personnel characteristic information with preset characteristic information to generate corresponding preliminary early warning information when the abnormal personnel are determined to exist, and then can acquire the position information and the time information of the abnormal personnel currently existing by utilizing the received preliminary early warning information. For example, the obtaining corresponds to determining that the abnormal person a is located at the toll booth at time point 1, obtaining that the currently existing abnormal person a is located at the hotel at time point 2, and the like, which are not illustrated here.

Step S2322: and analyzing the track trend of the abnormal personnel currently existing based on the information record.

The trajectory trend may be determined based on location information of currently existing abnormal persons at different points in time. Specifically, in one implementation scenario, the movement direction and the movement speed of the abnormal person currently existing may be analyzed and obtained based on the position information and the time information of the abnormal person currently existing. For example, based on that the currently existing abnormal person a is located at the toll booth at the time point 1 and at the hotel at the time point 2, the moving direction of the currently existing abnormal person a can be analyzed as the direction from the toll booth to the hotel, and the moving speed is the quotient of the distance from the toll booth to the hotel and the difference between the time point 1 and the time point 2, which is not illustrated here.

Step S2323: and judging whether the track trend of the abnormal personnel currently exists conforms to the preset track trend.

The preset track trend can be that the number of abnormal persons approaching the same area is more than a certain number, for example, the number of abnormal persons approaching a certain activity field is more than 100; or the preset track trend can also be that the movement speed of the abnormal people approaching the same area is greater than a certain value, for example, the movement speed of the abnormal people approaching a certain conference center is greater than 10 m/s; or the preset track trend may also be that the number of people approaching the abnormal people in the same area is greater than a certain numerical value, and the movement speed of the abnormal people approaching the same area is greater than a certain numerical value, for example, the number of people approaching the abnormal people in a certain activity field is greater than 100 people, and the movement speed is greater than 10m/s, which is not illustrated in this embodiment.

Specifically, referring to fig. 6 in combination, fig. 6 is a schematic flowchart illustrating an embodiment of step S2323 in fig. 5, where step S2323 may include the following steps:

step S61: and searching abnormal persons with the movement directions tending to the same area from the abnormal persons existing at present.

In one implementation scenario, abnormal persons in the same area of the movement direction area can be found according to whether the intersection points of the extension lines of the speed directions of the currently existing abnormal persons are in the same area. For example, if the intersection points of the extension lines of the movement directions of the abnormal person a, the abnormal person B, and the abnormal person C are all located in a certain square, it can be considered that the abnormal person a, the abnormal person B, and the abnormal person C all tend to the same area; or the intersection points of the extension lines of the movement directions of the abnormal person D and the abnormal person E are both in a certain auditorium, it can be considered that the abnormal person D and the abnormal person E both tend to be in the same area, and this embodiment is not illustrated one by one.

There may be more than one area where the abnormal person is trended during the search process. For example, the intersection points of the extension lines of the movement directions of the abnormal person a, the abnormal person B, and the abnormal person C are all located in a certain square, and it can be considered that the abnormal person a, the abnormal person B, and the abnormal person C all tend to a certain square, and meanwhile, the intersection points of the extension lines of the movement directions of the abnormal person D and the abnormal person E are all located in a certain auditorium, and it can be considered that the abnormal person D and the abnormal person E all tend to a certain auditorium.

Step S62: performing a determination of at least one of: and whether the number of the found abnormal persons is larger than a second threshold value or not and whether the movement speeds of the found abnormal persons are larger than a third threshold value or not are determined.

In an implementation scenario, it may be determined whether the number of found abnormal people is greater than a second threshold, where the first threshold may be 2 people, 3 people, 5 people, 8 people, and the like, and this embodiment is not limited in this embodiment. For example, it is determined whether the number of searched abnormal persons tending to a certain square is more than 2.

In another implementation scenario, it may be determined whether the found movement speed of the abnormal person is greater than a third threshold, where the third threshold may be 2m/s, 3m/s, 5m/s, 8m/s, and the like, and this embodiment is not limited in this respect. For example, it is judged whether or not the movement speed of the searched abnormal person approaching a certain auditorium is larger than 2 m/s.

In yet another implementation scenario, it may be further determined whether the number of the found abnormal persons is greater than a second threshold, and whether the movement speed of the found abnormal persons is greater than a third threshold. For example, whether the number of the searched abnormal persons tending to a certain square is more than 2 is judged, and whether the movement speed of the searched abnormal persons tending to the certain square is more than 2m/s is judged; or judging whether the number of the searched abnormal persons tending to the certain auditorium is more than 2 and judging whether the movement speed of the searched abnormal persons tending to the certain auditorium is more than 2 m/s.

Step S63: if yes, step S64 is executed.

In one implementation scenario, when only the number of the searched abnormal persons is judged to be greater than a second threshold value, judging whether the judgment result is yes; in another implementation scenario, when only the judgment is performed to determine whether the found abnormal person has a movement speed greater than a third threshold, whether the judgment result is yes is determined; in still another implementation scenario, when the determination is performed whether the number of the searched abnormal persons is greater than a second threshold value, and the determination is performed whether the movement speed of the searched abnormal persons is greater than a third threshold value, it is determined whether the determination results of the two are yes.

Step S64: and determining that the track trend of the abnormal personnel currently existing accords with the preset track trend.

In an implementation scenario, if at least one of the determination results in the step S63 is no, the step S65 may be executed.

Step S65: and determining that the track trend of the abnormal personnel currently existing does not accord with the preset track trend.

Referring to fig. 7, fig. 7 is a schematic flowchart illustrating an aggregation warning method for abnormal people according to another embodiment of the present application. Specifically, before the step S21, the method may further include the steps of:

step S71: an area demarcated by a user on a displayed map is acquired.

In one implementation scenario, a user may demarcate an area on a displayed map by touching or mouse-dragging. The delineated area may be rectangular, circular, or irregularly shaped.

Step S72: acquisition devices located within the area are determined.

Based on the area demarcated on the display map by the user, the acquisition devices located within the area can be acquired.

Accordingly, step S21 may include the steps of:

step S73: and sending a deployment and control instruction to acquisition equipment in the region.

And sending the deployment and control instruction to acquisition equipment in the region.

By the scheme, the user can conveniently demarcate the area needing security protection based on the displayed map, visual operation is provided for the user, and user experience is improved. In addition, the control command is sent to the acquisition equipment located in the region, so that the acquisition equipment outside the region does not need to execute the control command, and the workload of the acquisition equipment outside the region is reduced.

Referring to fig. 8, fig. 8 is a schematic flowchart illustrating a gathering early warning method for abnormal people according to another embodiment of the present application. Specifically, the step S21 may include the following steps:

step S81: and receiving early warning limit information input by a user, wherein the early warning limit information comprises early warning time and/or early warning position.

In one implementation scenario, the pre-warning time may be set according to the actual security demand time. For example, if the time for a certain meeting to be held is 3 middle of the month, the early warning time may be set to 3 middle of the month, or may float up and down on the basis, such as 3 months, 5 days to 3 months, 20 days, etc., which is not illustrated herein.

In one implementation scenario, the early warning location may be set according to the actual security requirement location. For example, if the place where a certain event is held is a certain square, the position of the warning may be set to be a certain square, or may be expanded appropriately on the basis, such as within one kilometer around the square, within two kilometers around the square, and so on. In addition, the security level can be set in combination, for example, the security level is higher, and the early warning position range can be set to be wider; and the security level is lower, and the early warning position range can be set to be slightly smaller.

Step S82: and packaging the early warning limit information and the preset characteristic information of at least one abnormal person into a control command.

The preset characteristic information comprises face data, license plate numbers, MAC addresses and identification numbers of abnormal personnel.

Accordingly, the step S21 may include:

step S83: and receiving preliminary early warning information generated by the acquisition equipment under the condition of meeting the early warning limit information.

And after receiving the deployment and control instruction, the acquisition equipment analyzes the deployment and control instruction so as to obtain the early warning time and/or the early warning position included by the early warning limiting information.

In an implementation scenario, the acquisition device compares the acquired personnel characteristic information with preset characteristic information within the early warning time to determine that the abnormal personnel exist, and then generates preliminary early warning information.

In another implementation scenario, the personnel characteristic information acquired by the acquisition device in the early warning position is compared with preset characteristic information to determine that the abnormal personnel exist, and then preliminary early warning information is generated.

In another implementation scenario, the acquisition device generates preliminary warning information when the person characteristic information acquired within the warning time and within the warning position is compared with the preset characteristic information to determine that abnormal persons exist.

By means of the scheme, the user can set the early warning time and the early warning position in a user-defined mode, so that gathering early warning of abnormal personnel is more targeted, and early warning results are more of reference value.

Referring to fig. 9, fig. 9 is a schematic flowchart illustrating a gathering early warning method for abnormal people according to another embodiment of the present application. Specifically, before the step S21, the method may further include the steps of:

step S91: receiving characteristic information of abnormal personnel input by a user; and/or receiving characteristic information filled in when the abnormal person registers.

The characteristic information comprises face data, license plate numbers, MAC addresses and identification numbers of abnormal personnel. In addition, the characteristic information may also include the name, age, native place, and the like of the abnormal person.

In an implementation scene, a user can uniformly import the characteristic information of a plurality of abnormal personnel; in another implementation scenario, feature information filled in by abnormal persons during registration can be collected; in another implementation scenario, the feature information of the abnormal person may be uniformly imported in combination with the user, and the feature information filled in when the abnormal person registers may be received.

Step S92: and taking the received characteristic information as preset characteristic information of abnormal personnel.

And taking the received characteristic information as preset characteristic information of abnormal personnel.

Referring to fig. 10, fig. 10 is a schematic diagram of a frame of an embodiment of an aggregation warning device 1000 for an abnormal person according to the present application. Specifically, the system comprises a sending module 1010, a receiving module 1020, a judging module 1030 and a generating module 1040, wherein the sending module 1010 is used for sending a deployment and control instruction to the acquisition device; the control command comprises preset characteristic information of at least one abnormal person; the receiving module 1020 is configured to receive preliminary warning information from the collecting device, where the preliminary warning information is generated by the collecting device when the collecting device determines that an abnormal person exists by comparing the collected person feature information with preset feature information; the judging module 1030 is configured to judge whether the current abnormal personnel condition meets a preset gathering condition based on the received plurality of preliminary early warning information; the generating module 1040 is configured to generate aggregation early warning information for the presence of abnormal staff aggregation when it is determined whether the current abnormal staff condition meets a preset aggregation condition.

In some embodiments, the determining module 1030 further includes an obtaining module configured to obtain currently existing abnormal personnel based on the received plurality of preliminary early warning information, and an analyzing module configured to analyze currently existing abnormal personnel to determine whether a current abnormal personnel condition meets a preset aggregation condition.

In some embodiments, the preset aggregation condition comprises at least one of: the number of the abnormal personnel currently existing is larger than a first threshold value, and the track trend of the abnormal personnel currently existing accords with the preset track trend.

In some embodiments, when the preset aggregation condition includes that the number of abnormal people currently existing is greater than a first threshold, the analysis module is further configured to count the number of abnormal people currently existing, and determine whether the number is greater than the first threshold; when the preset aggregation condition includes that the track trend of the abnormal personnel currently existing accords with the preset track trend, the analysis module is further used for acquiring the information record of the abnormal personnel currently existing; analyzing and obtaining the track trend of the abnormal personnel based on the information record; and judging whether the track trend of the abnormal personnel currently exists conforms to the preset track trend.

In some embodiments, the analysis module is further configured to obtain position information and time information of currently existing abnormal people by using the received preliminary early warning information, and the analysis module is further configured to analyze the current movement direction and movement speed of the currently existing abnormal people based on the current position information and time information of the currently existing abnormal people, and find out abnormal people whose movement directions tend to be in the same area from the currently existing abnormal people; the analysis module is further configured to perform a determination of at least one of: whether the number of the found abnormal persons is larger than a second threshold value or not and whether the found abnormal persons move at speeds larger than a third threshold value or not are determined; the analysis module is further used for determining that the track trend of the abnormal personnel currently existing accords with the preset track trend when the executed judgment results are yes.

In some embodiments, the obtaining module is further configured to screen out, from the received plurality of preliminary early warning information, preliminary early warning information that meets a preset screening condition; the acquisition module is also used for determining abnormal personnel determined by each piece of screened preliminary early warning information; the acquisition module is also used for identity duplication elimination of the determined abnormal personnel to obtain the information of the abnormal personnel existing at present.

In some embodiments, the received preliminary warning information includes position information for determining that an abnormal person exists, and the preset screening condition is that the position information included in the received preliminary warning information belongs to a preset position range; or the received preliminary early warning information contains position information and time information for determining the existence of abnormal personnel, the preset screening condition is that the position information contained in the received preliminary early warning information belongs to a preset position range, and the time information contained in the received preliminary early warning information belongs to a preset time range.

In some embodiments, the sending module 1010 is further configured to send the deployment instruction to the collecting device through the scheduling device, and the receiving module 1020 is further configured to receive the preliminary warning information from the collecting device, which is sent by the scheduling device.

In some embodiments, the gathering early warning apparatus 1000 for abnormal people further includes a determining module, configured to obtain an area defined by a user on a displayed map, and determine a collecting device located in the area, and the sending module 1010 is further configured to send a deployment and control instruction to the collecting device located in the area.

In some embodiments, the gathering early warning device 1000 for abnormal persons further includes a group package module, configured to receive early warning definition information input by a user, where the early warning definition information includes early warning time and/or early warning position, the early warning definition information and preset feature information of at least one abnormal person are packaged into a deployment instruction, and the receiving module 1020 is further configured to receive preliminary early warning information generated by the acquisition device when the acquisition device conforms to the early warning definition information.

In some embodiments, the gathering early warning device 1000 for abnormal persons further includes a registration module, configured to receive characteristic information of the abnormal persons input by a user; and/or receiving characteristic information filled in the registration of abnormal personnel; and taking the received characteristic information as preset characteristic information of abnormal personnel.

In some embodiments, the preset feature information includes face data, license plate number, MAC address, and identification number of the abnormal person; the collecting device comprises a face collecting unit, a license plate collecting unit, an MAC collecting unit and an identity collecting unit.

Referring to fig. 11, fig. 11 is a schematic diagram of an embodiment of an aggregation warning device 1100 for abnormal people according to the present application. Specifically, the memory 1110, the processor 1120, and the communication circuit 1130 may be included, the memory 1110 and the communication circuit 1130 being coupled to the processor 1120; the memory 1110, the processor 1120, and the communication circuit 1130 are operable to implement the steps of any of the above-described methods for warning of the gathering of abnormal persons.

Specifically, the processor 1120 is configured to control itself, the memory 1110 and the communication circuit 1130 to implement the steps in any embodiment of the above-mentioned aggregation warning method for abnormal people. Processor 1120 may also be referred to as a CPU (Central processing Unit). Processor 1120 may be an integrated circuit chip having signal processing capabilities. The Processor 1120 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 1120 may be commonly implemented by a plurality of integrated circuit chips.

In this embodiment, the processor 1120 is configured to control the communication circuit 1130 to send a deployment instruction to the acquisition device; the deployment and control instruction comprises preset characteristic information of at least one abnormal person, the processor 1120 is further used for controlling the communication circuit 1130 to receive preliminary early warning information from the acquisition equipment, wherein the preliminary early warning information is generated when the acquisition equipment determines that the abnormal person exists by comparing the acquired person characteristic information with the preset characteristic information, the processor 1120 is further used for judging whether the current abnormal person condition accords with a preset gathering condition or not based on the received plurality of preliminary early warning information, and the processor 1120 is further used for generating gathering early warning information with the abnormal person gathering when the current abnormal person condition accords with the preset gathering condition.

In some embodiments, the processor 1120 is further configured to obtain currently existing abnormal persons based on the received several pieces of preliminary early warning information, and the processor 1120 is further configured to analyze the currently existing abnormal persons to determine whether the current abnormal person condition meets a preset aggregation condition.

In some embodiments, when the preset aggregation condition includes that the number of abnormal people currently existing is greater than the first threshold, the processor 1120 is further configured to count the number of abnormal people currently existing and determine whether the number is greater than the first threshold; when the preset aggregation condition includes that the track trend of the currently existing abnormal person meets the preset track trend, the processor 1120 is further configured to obtain an information record of the currently existing abnormal person; analyzing and obtaining the track trend of the abnormal personnel based on the information record; and judging whether the track trend of the abnormal personnel currently exists conforms to the preset track trend.

In some embodiments, the processor 1120 is further configured to obtain the position information and the time information of the currently existing abnormal person by using the received preliminary warning information, the processor 1120 is further configured to analyze and obtain the movement direction and the movement speed of the currently existing abnormal person based on the position information and the time information of the currently existing abnormal person, and the processor 1120 is further configured to find out the abnormal person whose movement direction tends to the same area from the currently existing abnormal person; the processor 1120 is further configured to perform at least one of the following: whether the number of the found abnormal persons is larger than a second threshold value or not and whether the found abnormal persons move at speeds larger than a third threshold value or not are determined; the processor 1120 is further configured to determine that the track trend of the currently existing abnormal person meets the preset track trend when all the executed determination results are yes.

In some embodiments, the processor 1120 is further configured to filter out, from the received plurality of preliminary warning information, preliminary warning information that meets a preset filtering condition; the processor 1120 is further configured to determine abnormal persons determined to exist by each piece of screened preliminary warning information; the processor 1120 is further configured to perform identity deduplication on the determined abnormal person to obtain information of the currently existing abnormal person.

In some embodiments, the processor 1120 is further configured to control the communication circuit 1130 to send the deployment instruction to the collection device through the scheduling device, and the processor 1120 is further configured to control the communication circuit 1130 to receive the preliminary warning information from the collection device, which is sent by the scheduling device.

In some embodiments, the gathering early warning device 1100 for abnormal persons may further include a human-computer interaction circuit, the processor 1120 is further configured to control the human-computer interaction circuit to obtain an area defined by a user on a displayed map, the processor 1120 is further configured to determine a collecting device located in the area, and the processor 1120 is further configured to control the communication circuit 1130 to send a deployment instruction to the collecting device located in the area.

In some embodiments, the processor 1120 is further configured to control the human-computer interaction circuit to receive early warning definition information input by a user, where the early warning definition information includes early warning time and/or early warning location, the processor 1120 is further configured to group the early warning definition information and preset feature information of at least one abnormal person into a deployment instruction, and the processor 1120 is further configured to control the communication circuit 1130 to receive preliminary early warning information generated by the acquisition device in a case that the early warning definition information is met.

In some embodiments, the processor 1120 is further configured to control the human-computer interaction circuit to receive feature information of the abnormal person input by the user, and/or the processor 1120 is further configured to control the communication circuit 1130 to receive feature information filled when the abnormal person registers, and the processor 1120 is further configured to use the received feature information as preset feature information of the abnormal person.

Referring to fig. 12, fig. 12 is a schematic diagram of a memory device 1200 according to an embodiment of the present application. The storage device 1200 stores program instructions 1201 capable of being executed by a processor, and the program instructions 1201 are used for implementing the aggregation warning method for abnormal people in any of the embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, 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 a plurality of network units. 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 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, an apparatus, or a network device) 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

1. An abnormal person gathering early warning method is characterized by comprising the following steps:

sending a deployment and control instruction to acquisition equipment; the control command comprises preset characteristic information of at least one abnormal person;

receiving preliminary early warning information from the acquisition equipment, wherein the preliminary early warning information is generated when the acquisition equipment determines that abnormal personnel exist by comparing the acquired personnel characteristic information with the preset characteristic information;

judging whether the current abnormal personnel condition meets a preset gathering condition or not based on the received plurality of pieces of preliminary early warning information;

if yes, generating gathering early warning information with abnormal personnel gathering.

2. The method of claim 1, wherein the determining whether the current abnormal personnel condition meets a preset aggregation condition based on the received plurality of preliminary early warning messages comprises:

acquiring currently existing abnormal personnel based on the received plurality of pieces of preliminary early warning information;

and analyzing the abnormal personnel currently existing to judge whether the current abnormal personnel condition meets the preset aggregation condition.

3. The method of claim 2, wherein the preset aggregation condition comprises at least one of: the number of the abnormal personnel currently existing is larger than a first threshold value, and the track trend of the abnormal personnel currently existing accords with a preset track trend.

4. The method of claim 3,

when the preset aggregation condition comprises that the number of abnormal people currently existing is larger than a first threshold value; the analysis of abnormal personnel who exist at present to judge whether current abnormal personnel's condition accords with and predetermines the gathering condition includes:

counting the number of abnormal people currently existing, and judging whether the number is greater than the first threshold value;

when the preset aggregation condition comprises that the track trend of the abnormal personnel currently existing accords with the preset track trend; the analysis of abnormal personnel who exist at present to judge whether current abnormal personnel's condition accords with and predetermines the gathering condition includes:

acquiring information records of the currently existing abnormal personnel;

analyzing and obtaining the track trend of the abnormal personnel currently existing based on the information record;

and judging whether the track trend of the abnormal personnel currently exists conforms to a preset track trend.

5. The method of claim 4,

the acquiring of the information record of the currently existing abnormal person includes:

acquiring the position information and the time information of the abnormal personnel currently existing by utilizing the received preliminary early warning information;

the track trend of the abnormal personnel currently existing is obtained based on the information record analysis, and the track trend comprises the following steps:

analyzing and obtaining the movement direction and the movement speed of the abnormal personnel on the basis of the position information and the time information of the abnormal personnel currently existing;

the judging whether the track trend of the abnormal personnel currently existing accords with a preset track trend includes:

finding out abnormal persons of which the movement directions tend to be in the same area from the abnormal persons existing at present;

performing a determination of at least one of: whether the number of the searched abnormal persons is larger than a second threshold value or not and whether the movement speeds of the searched abnormal persons are larger than a third threshold value or not;

and if the executed judgment results are yes, determining that the track trend of the abnormal personnel currently existing accords with a preset track trend.

6. The method of claim 2,

the obtaining of the abnormal personnel based on the received plurality of preliminary early warning information includes:

screening out the primary early warning information which meets the preset screening condition from the received plurality of primary early warning information;

determining abnormal personnel determined to exist by each piece of screened preliminary early warning information;

and identity duplication elimination is carried out on the determined abnormal personnel to obtain the information of the currently existing abnormal personnel.

7. The method of claim 6,

the received preliminary early warning information comprises position information for determining the existence of abnormal personnel, and the preset screening condition is that the position information contained in the received preliminary early warning information belongs to a preset position range; or

The received preliminary early warning information contains position information and time information for determining the existence of abnormal personnel, the preset screening condition is that the position information contained in the received preliminary early warning information belongs to a preset position range, and the time information contained in the received preliminary early warning information belongs to a preset time range.

8. The method of claim 1,

the sending of the deployment and control instruction to the acquisition equipment comprises:

sending the deployment and control instruction to the acquisition equipment through the scheduling equipment;

the receiving of the preliminary early warning information from the acquisition device includes:

and receiving the preliminary early warning information from the acquisition equipment, which is sent by the scheduling equipment.

9. The method of claim 1, prior to said sending deployment instructions to the collection device, further comprising:

acquiring an area defined by a user on a displayed map;

determining acquisition devices located within the area;

the sending of the deployment and control instruction to the acquisition equipment comprises the following steps:

and sending the deployment and control instruction to the acquisition equipment in the region.

10. The method of claim 1,

before the sending of the deployment and control instruction to the acquisition device, the method further comprises the following steps:

receiving early warning limit information input by a user, wherein the early warning limit information comprises early warning time and/or early warning position;

packaging the early warning limiting information and the preset characteristic information of the at least one abnormal person into the control command;

the receiving of the preliminary warning information from the acquisition device includes:

and receiving preliminary early warning information generated by the acquisition equipment under the condition of meeting the early warning limit information.

11. The method of claim 1, prior to said sending deployment instructions to the collection device, further comprising:

receiving characteristic information of the abnormal personnel input by a user; and/or receiving characteristic information filled in the abnormal personnel registration;

and taking the received characteristic information as preset characteristic information of the abnormal personnel.

12. The method of claim 1,

the preset characteristic information comprises face data, license plate numbers, MAC addresses and identification numbers of abnormal personnel;

the acquisition equipment comprises a face acquisition unit, a license plate acquisition unit, an MAC acquisition unit and an identity acquisition unit.

13. An abnormal person gathering early warning device, comprising:

the sending module is used for sending the deployment and control instruction to the acquisition equipment; the control command comprises preset characteristic information of at least one abnormal person;

the receiving module is used for receiving preliminary early warning information from the acquisition equipment, wherein the preliminary early warning information is generated when the acquisition equipment determines that abnormal personnel exist by comparing the acquired personnel characteristic information with the preset characteristic information;

the judging module is used for judging whether the current abnormal personnel condition meets the preset gathering condition or not based on the received plurality of pieces of preliminary early warning information;

and the generating module is used for generating the gathering early warning information with the gathering of the abnormal personnel when judging whether the current abnormal personnel condition accords with the preset gathering condition.

14. The gathering early warning device of the abnormal personnel is characterized by comprising a memory, a processor and a communication circuit, wherein the memory and the communication circuit are coupled to the processor; the memory, the processor, and the communication circuitry are operable to implement the method of any of claims 1 to 12.

15. A storage device storing program instructions executable by a processor to perform the method of any one of claims 1 to 12.

16. The gathering early warning system for the abnormal personnel is characterized by comprising gathering early warning equipment and a plurality of acquisition equipment;

the gathering early warning device comprises a gathering device, a plurality of gathering devices and a gathering early warning device, wherein the gathering devices are connected with the gathering early warning device and used for gathering personnel characteristic information, and the gathering early warning device is the device in claim 14.

17. The system of claim 16, further comprising a scheduling device,

the collecting device is connected with the gathering early warning device through the scheduling device, and the scheduling device is used for transmitting information between the collecting device and the gathering early warning device.