CN115690559A

CN115690559A - Target aggregation degree monitoring method and device, electronic equipment and storage medium

Info

Publication number: CN115690559A
Application number: CN202211337917.1A
Authority: CN
Inventors: 李秀文; 白飞飞; 马朋飞
Original assignee: Shanghai Sany Electronic Technology Co ltd
Current assignee: Shanghai Sany Electronic Technology Co ltd
Priority date: 2022-10-28
Filing date: 2022-10-28
Publication date: 2023-02-03

Abstract

The application discloses a method and a device for monitoring the aggregation degree of targets, electronic equipment and a storage medium, wherein one or more monitoring targets are arranged in a target scene; acquiring corresponding monitoring target aggregation degree under the communication delay data and/or the error code data according to a preset qualitative relation; the preset qualitative relation represents that the aggregation degree of the monitoring target is in positive correlation with communication delay data and error code data corresponding to the monitoring target. The technical problem that the target aggregation can not be monitored conveniently in an indoor scene in the prior art is solved through the method and the device, so that the monitoring of the target aggregation is realized, and the application range of the UWB technology is expanded.

Description

Target aggregation degree monitoring method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of target identification, and in particular, to a method and an apparatus for monitoring a target aggregation level, and an electronic device.

Background

At present, the monitored pedestrian flow is mostly counted by adopting a gate and an infrared sensing technology in a channel, and besides the detection mode of the pedestrian flow, the flow of a monitoring vehicle is often combined with a radio frequency technology, such as an ETC device, an image sensor and the like. Although these techniques can detect the flow rate of the target, they cannot monitor the aggregation of the target in the indoor space, and even if the aggregation is detected by the image collected by the image sensor, the process must rely on huge image data, and the processing procedure is complicated.

Disclosure of Invention

The embodiment of the application provides a method and a device for monitoring the target aggregation degree and electronic equipment, which are used for solving the technical problem that the target aggregation can not be conveniently monitored in an indoor scene in the prior art.

According to one aspect of the present application, there is provided a method for monitoring the aggregation level of targets, wherein one or more monitoring targets are arranged in a target scene, including,

obtaining communication delay data and/or error code data of UWB data of the monitoring target;

acquiring the corresponding monitoring target aggregation degree under the communication delay data and/or the error code data according to a preset qualitative relation;

the preset qualitative relation represents that the aggregation degree of the monitoring target is in positive correlation with communication delay data and error code data corresponding to the monitoring target.

Further, the obtaining communication delay data and/or error code data of UWB data in the target scene includes:

and acquiring UWB data of the monitoring target in a polling mode, and calculating the communication delay data and/or error code data according to the UWB data.

Further, the obtaining of the aggregation degree of the monitoring target corresponding to the communication delay data and/or the error code data according to the preset qualitative relationship includes:

the monitoring target comprises an organism target and/or a non-organism target;

and when the target is a single organism or a non-organism, obtaining the target aggregation degree of the target according to the preset qualitative relation of the target.

when the target comprises a mixture of an organism and a non-organism, respectively obtaining the aggregation degrees of the organism and the non-organism according to a preset qualitative relation of the mixture;

wherein the mixed predetermined qualitative relationship indicates that a combination of the target aggregation degree of the living body and the target aggregation degree of the non-living body has a positive correlation with the communication delay data and/or the error data.

Further, the mixed predetermined qualitative relationship is obtained by fitting a predetermined qualitative relationship of the biological target and a predetermined qualitative relationship of the non-biological target.

Further, after obtaining the corresponding target aggregation level under the communication delay data and/or the error code data, the method further includes:

obtaining the size of a movable space of the target scene;

and obtaining the number of the targets according to the target gathering degree and the size of the movable space.

Further, the method also comprises the following steps:

arranging a plurality of UWB ranging schemes for the target scene, and acquiring a plurality of corresponding preset qualitative relationships under the target scene aiming at each UWB ranging scheme;

selecting a preset qualitative relation with the highest matching degree from the multiple preset qualitative relations according to the requirements on the target aggregation degree, the communication delay data and the error code data of the UWB data during scene design;

and obtaining a corresponding UWB ranging scheme according to the selected preset qualitative relation with the highest matching degree, and using the UWB ranging scheme as the UWB ranging scheme selected in scene design.

In a second aspect of the present application, a device for monitoring the aggregation level of targets, in which one or more monitoring targets are set in a target scene, includes:

the acquisition module is used for acquiring communication delay data and/or error code data of the UWB data in a target scene;

the calculation module is used for obtaining the corresponding monitoring target aggregation degree under the communication delay data and/or the error code data according to a preset qualitative relation;

In a third aspect of the present application, there is provided an electronic device comprising a processor, a memory and a computer program stored in the memory, the computer program being configured to perform the method of the first aspect of the present application when executed by the processor.

In a third aspect of the present application, there is provided a storage medium having stored thereon a computer program for executing the method of the first aspect of the present application.

In the embodiment of the application, a method for monitoring the aggregation degree of a target is provided, wherein one or more monitoring targets are arranged in a target scene, and UWB data communication delay data and/or error code data are obtained in the target scene; acquiring a corresponding target aggregation degree under the communication delay data and/or the error code data according to a preset qualitative relation under the target scene; the preset qualitative relation represents that the aggregation degree of the monitoring target is in positive correlation with communication delay data and error code data corresponding to the monitoring target. The technical problem that the target aggregation can not be monitored conveniently in an indoor scene in the prior art is solved through the method and the device, so that the monitoring of the target aggregation is realized, and the application range of the UWB technology is expanded.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:

fig. 1 is a flowchart of a method for monitoring a target aggregation level according to an embodiment of the present application.

Fig. 2 is a schematic diagram of an embodiment according to the present application employing UWB location technology.

Detailed Description

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.

An Ultra Wide Band (UWB) technology is a wireless carrier communication technology, which does not use a sinusoidal carrier but uses nanosecond-level non-sinusoidal narrow pulses to transmit data, and thus, the occupied frequency spectrum range is Wide. The UWB technology has higher precision in positioning by virtue of the characteristics of the UWB technology, and particularly becomes a mode exceeding indoor positioning such as wifi and Bluetooth in high-speed wireless access scenes in dense multipath places such as indoor places.

In order to realize convenient target aggregation monitoring, the embodiment of the application adopts the more UWB technology used in the indoor positioning scene, so that the aim of realizing the target aggregation monitoring in the embodiment can be derived based on the basic positioning function without a set of new equipment by means of the arrangement of the existing indoor positioning device.

Fig. 2 is a schematic diagram of the UWB positioning technology employed in the embodiment of the present application. UWB tags are one of the components of UWB indoor positioning systems and are typically used on objects to be positioned, where the objects typically include personnel or supplies. The small-size goods and materials can be selected to the small-size goods and materials label of location, and location vehicle or main equipment can select the on-vehicle label that has strong magnetic chuck large capacity battery for use. The pulse signal sent by the UWB tag is received and transmitted through the positioning base station. Each tag has a unique ID, and the unique ID can be used for associating the positioned object with the tag, so that the positioning base station finds the actual positioning position through the tag.

The main work done by the inventors of the present application is how to link this feature to the aggregate monitoring described in this embodiment, which is that UWB tag transmissions have a short duration and very low transmit power, thus allowing hundreds of tags to be located at the same time. When there are a plurality of UWB tags, the operation of each tag satisfies the following procedure: each positioning tag continuously transmits data frames by UWB pulse repetition; the transmitted UWB pulse train is received by the location base station; each positioning base station measures the time of the data frame of each positioning label arriving at the antenna of the receiver by using a high-sensitivity short pulse detector; and the positioning engine refers to the calibration data sent by the label, determines the time difference between the label and different positioning base stations, and calculates the position of the label by using a three-point positioning technology and an optimization algorithm. The applicant finds that when a UWB positioning scene has more obstacles, both the positioning accuracy and the communication effect are affected to a certain extent, where the communication effect is mainly reflected in communication data packet loss and data delay, and both the communication data packet loss and the data delay are positively correlated with the number of objects in the positioning scene.

Fig. 1 is a schematic flow chart of a method for monitoring a target aggregation level in an embodiment of the present application, where a usable scenario includes, but is not limited to, a relatively closed environment such as an underground mine, a mine tunnel, a road on the ground, or a pedestrian street, and one or more monitoring targets are disposed in the target scenario. As can be seen, the method comprises the following steps:

and S102, obtaining communication delay data and/or error code data of the UWB data of the monitoring target.

The UWB tag sends a data packet to a base station, the time taken by the data packet to reach the base station is no delay within the normal receiving time T1, but once the data packet is influenced by interference of obstacles, data packet queuing and the like in the data transmission process, the base station can receive the data packet by the delayed receiving time T2, wherein the delayed receiving time T2 is greater than the normal receiving time T1, namely communication delay occurs, and therefore the delay time T = T2-T1.

The bit error rate is an index for measuring the accuracy of data transmission within a specified time, and is = bit error in transmission/total number of transmitted codes 100%. And if the error code exists, the error rate is obtained. In the process of once UWB communication, the length of a data code packet sent by a tag is assumed to be 100, the data packet can be completely received by a base station in normal communication, namely 100 data packets are received, the error rate is 0, and when people or objects are met, the error rate is greater than 0; as people or things increase, the bit error rate also increases.

As shown in table 1, to test the influence of different numbers of targets on the UWB communication in a closed roadway environment. As can be seen from table 1, the communication delay data and the error data are positively correlated with the target aggregation level.

TABLE 1

Type/number of obstacle	Communication time with obstacle (ns)	Accessible communication time (ns)	Delay time (ns)	Error rate
					Person/1	282591855	280405008	2186847	1.1％
Person/2	282592033	279067888	4294145	2.3％
					Person/3	286827951	280296019	6531932	3.4％
Vehicle 1	285583786	280746912	4836874	1.3％
					Vehicle/2	289131279	279557386	9573893	2.8％
Vehicle/3	294776708	280238617	14538091	4.1％

Therefore, in the present embodiment, the communication delay data or the error data may be used alone to reflect the aggregation level, or the communication delay data and the error data may be used in combination to reflect the aggregation level.

Step S104, acquiring corresponding monitoring target aggregation degree under the communication delay data and/or the error code data according to a preset qualitative relation; the preset qualitative relation represents that the aggregation degree of the monitoring target is in positive correlation with communication delay data and error code data corresponding to the monitoring target.

Different target scenes cause different communication delay data and error data due to different arrangement positions of the base stations in the scenes, different aggregation degrees of the targets, and different kinds of the targets. However, under a certain hardware arrangement condition (corresponding to a certain target scenario) and a certain kind of target (corresponding to a certain target), the communication delay data and the error data are positively correlated with the aggregation degree of the targets. Therefore, in the embodiment of the application, by taking the aggregation degree of the target scene and the target as variables in advance through an experiment, the delay data and the error data of communication under different combinations of the variables are obtained, and the aggregation degree of the target under the target scene is fitted with the relationship between the communication delay data and the error data to form a preset qualitative relationship.

Therefore, the embodiment of the application can conveniently use the preset qualitative relation to obtain the corresponding aggregation degree of the target according to the actually obtained communication delay data and/or error code data.

The method of the embodiment is based on a traditional UWB positioning scheme, and combines the corresponding preset qualitative relation, so that the aggregation degree of the target can be monitored and obtained while UWB positioning is carried out, and the situation that the aggregation degree is obtained by using an identification mode with high processing capacity, such as image identification, is avoided. The scheme of the embodiment makes full use of the relationship between the UWB communication situation and the aggregation property, and expands the application range of the UWB technology.

In some embodiments, the obtaining communication delay data and/or error data of UWB data in a target scenario includes:

and acquiring UWB data of the monitoring target in a polling mode, and calculating communication delay data and/or error code data according to the UWB data.

Polling is the method by which a master station in a communication performs "simultaneous" communication to multiple substations. The master station sends a query command to the slave station, which can send information using the channel. In this embodiment, the communication between the base station and the plurality of data tags is a polling method, and there are various forms for how to poll specifically, this embodiment adopts a two-way time-of-flight method, and the base station and the tags do not need time synchronization, which greatly simplifies the complexity of the system, and the specific polling method includes the following steps:

firstly, a scheduling base station transmits a data packet containing a label initialization instruction, and after each label receives the label initialization instruction in the data packet, the data packet containing the ID corresponding to each label is broadcasted;

secondly, after sending a label initialization instruction, the scheduling base station enters a monitoring state and monitors a data packet in the network, analyzes the ID in the data packet and generates a polling list;

thirdly, the scheduling base station generates a command for controlling the label to carry out distance measurement according to the polling state of the polling list;

fourthly, each label sends a distance measurement request according to the received instruction;

and fifthly, after receiving the ranging request of the tag, the ranging base station performs TWR ranging with the tag to obtain the distance between the same tag and each ranging base station.

In the above method, even under the same scene, different targets show different influences on communication, and therefore, in some embodiments, corresponding preset qualitative relationships are obtained in advance for different targets, respectively, for example, when the monitored target includes a biological target and/or an abiotic target, the preset qualitative relationship of the corresponding biological target and the preset qualitative relationship of the abiotic target are obtained in advance, so that when the target is a single biological or abiotic target, obtaining the target aggregation degree of the target according to the preset qualitative relationship of the target is achieved.

In some embodiments, there is a more complicated case that there may be a mixture of multiple targets even under the same scene, and the multiple targets referred to herein in the embodiments of the present invention may be a mixture of living bodies and non-living bodies, such as a mixture of people and vehicles, in which case, the obtaining of the corresponding target aggregation degrees under the communication delay data and/or the error data according to the preset qualitative relationship includes:

when the target comprises a mixture of an organism and a non-organism, respectively obtaining the aggregation degrees of the organism and the non-organism according to a preset qualitative relation of the mixture; wherein the mixed predetermined qualitative relationship indicates that a combination of the target aggregation degree of the living body and the target aggregation degree of the non-living body has a positive correlation with the communication delay data and/or the error data.

Since different targets have different influences on communication, when multiple targets are mixed, the influenced situations presented by communication delay data and error code data are different from those presented by a single target, but the implementation of the embodiment of the present application is not hindered. Therefore, the appropriate mixed target basic degree relation curve is conveniently selected to monitor the corresponding aggregation degree of each target in the later period.

In order to simplify the pre-fitting process of obtaining the mixed preset qualitative relationships, in some embodiments, the mixed preset qualitative relationships obtained by fitting the preset qualitative relationships of the single targets to the communication data are obtained by the influence of the existing mixed targets to the communication data, and the influence of the single targets to the communication data are obtained by fitting the preset qualitative relationships of the single targets, for example, the mixed preset qualitative relationships of the biological target and the non-biological target are obtained by fitting the preset qualitative relationships of the biological target and the non-biological target, and the influence coefficient of each target in the specific fitting is adjusted according to the measured data. For example, in the case of a mixture of people and vehicles, the preset qualitative relationship of people and the preset qualitative relationship of vehicles are weighted and averaged to obtain a mixed preset qualitative relationship, and since the aggregation of vehicles has a greater influence on communication than people, the weight of the preset qualitative relationship of a vehicle pair is slightly greater than that of the preset qualitative relationship of people.

By the method, in some embodiments, the number of the corresponding targets can be further monitored according to the aggregation degree result, specifically, the number of the targets, such as the pedestrian volume, the traffic volume and the like, can be obtained according to the aggregation degree of the targets and the size of the movable space by obtaining the size of the movable space of the target scene, so that timely reminding, alarming and the like can be conveniently performed under the condition that some people number or vehicles are limited.

As described above, the methods adopted by the embodiments of the present application are related to specific scenarios, and therefore, based on this, the degree of influence of the UWB signal on the field environment can be grasped through testing various scenarios, the ranging and positioning algorithms can be optimized, or other positioning algorithms or positioning manners can be switched, and this feature can be further utilized for designing UWB communication schemes before scenario arrangement, including:

Alternatively, when designing a UWB communication scheme for a roadway, it is necessary to consider a mode in which people and vehicles are mixed in the roadway, the degree of mixing of people and vehicles is different in different roadway locations, and for safety reasons, particularly in some roadway environments where aggregation is limited, the degree of aggregation of people should be limited in a manner that the degree of aggregation of people is reflected in communication delay data and error code data of UWB data in a more sensitive manner, so that possible risks can be found more promptly. And combining the factors considered during the design with the preset qualitative relation corresponding to the existing roadway, selecting one preset qualitative relation with higher sensitivity than the preset qualitative relation with the highest matching degree in the preset qualitative relations, and taking a communication scheme corresponding to the relation curve as a roadway communication design scheme required by the roadway environment.

11. In addition to the above method embodiments, an embodiment of the present invention further provides a device for monitoring a target aggregation level, where one or more monitoring targets are set in a target scene, and the device is characterized in that: the method comprises the following steps:

the calculation module is used for acquiring the corresponding monitoring target aggregation degree under the communication delay data and/or the error code data according to a preset qualitative relation;

The device realizes the monitoring method of the target aggregation degree in the embodiment of the application under the matching of the acquisition module and the calculation module, and has the advantages of small data volume and convenient calculation.

Embodiments of the present invention also provide an electronic device, including a processor, a memory, and a computer program stored in the memory, where the computer program is configured to, when executed by the processor, perform a method for monitoring a target aggregation level in the foregoing embodiments.

An embodiment of the present invention also provides a storage medium having a computer program stored thereon, the computer program being configured to execute a method of monitoring a target aggregation level in the above-described embodiment.

The method executed by the computer program is the same as the method in the above embodiment, and is not described herein again.

These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks, and corresponding steps may be implemented by different modules.

The programs described above may be run on a processor or may also be stored in memory (or referred to as computer-readable media), which includes both non-transitory and non-transitory, removable and non-removable media, that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Computer storage media includes, but is not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A monitoring method of target aggregation degree is provided, one or more monitoring targets are arranged in a target scene, and the method is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,

acquiring corresponding monitoring target aggregation degree under the communication delay data and/or the error code data according to a preset qualitative relation;

2. The method of claim 1, wherein: the obtaining of communication delay data and/or error code data of UWB data in a target scene includes:

and acquiring UWB data of the monitored target in a polling mode, and calculating communication delay data and/or error code data according to the UWB data.

3. The method of claim 2, wherein: the obtaining of the corresponding aggregation degree of the monitored target under the communication delay data and/or the error code data according to the preset qualitative relationship includes:

4. The method of claim 2, wherein: the obtaining of the corresponding aggregation degree of the monitored target under the communication delay data and/or the error code data according to the preset qualitative relationship includes:

5. The method of claim 4, wherein: the mixed preset qualitative relationship is obtained by fitting a preset qualitative relationship of the biological target and a preset qualitative relationship of the non-biological target.

6. The method of claim 4, wherein: after obtaining the corresponding target aggregation degree under the communication delay data and/or the error code data, the method further includes:

obtaining the size of a movable space of the target scene;

7. The method of claim 1, wherein: further comprising:

selecting a preset qualitative relation with the highest matching degree from the multiple preset qualitative relations according to the requirements on the target aggregation degree, the communication delay data of the UWB data and the error code data during scene design;

8. The utility model provides a monitoring devices of target aggregation degree, is equipped with one or more monitoring target under the target scene which characterized in that: the method comprises the following steps:

9. An electronic device, characterized in that: comprising a processor, a memory and a computer program stored in the memory, the computer program being configured to perform the method of any of the claims 1-7 when executed by the processor.

10. A storage medium, characterized by: stored thereon a computer program for performing the method of any of the claims 1 to 7.