CN113254639A - Monitoring alarm positioning tracking method and device and electronic equipment - Google Patents
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Abstract
The invention discloses a monitoring alarm positioning tracking method, a monitoring alarm positioning tracking device and electronic equipment, wherein the method comprises the following steps: acquiring voice content information of user alarm; performing semantic analysis on the voice content information, and extracting text data related to geographic information in the voice content information; performing clustering analysis on the text data; identifying the clustering analysis result through a preset location identification model, and determining a user alarm location; and calling monitoring equipment corresponding to the user alarm place to track and monitor the area range of the user alarm place according to the user alarm place. By analyzing the alarm voice content of the user, the place where the alarm occurs can be quickly positioned and the alarm occurrence area can be continuously tracked and monitored, so that the accuracy of the alarm place is improved, convenience is brought to subsequent processing work, and the alarm output efficiency is improved; and the records of the field conditions can be effectively saved through tracking and monitoring, and powerful support is provided for the development of subsequent work.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a monitoring alarm positioning and tracking method, a monitoring alarm positioning and tracking device and electronic equipment.
Background
In some important places with higher safety protection requirements, video data of the important places need to be recorded and stored through effective and controllable monitoring. . The current monitoring system mostly adopts an analog closed circuit television monitoring system as a security system for monitoring. The core control equipment mainly comprises a video matrix, a picture processor and a long-delay video recorder. For some important places such as the passing intersection and the like, the monitoring of the whole area is needed, all the situations are recorded, the safety of the important places is guaranteed, and the monitoring is effectively carried out on the working personnel. Meanwhile, when an unexpected event occurs, the records of the field conditions can be effectively saved.
For the video monitoring of the whole area, the system is only the video monitoring of the whole, and the place and the area where the alarm occurs can not be screened out at any time. In the prior art, the behavior of the user alarm is random and cannot be predicted, so that the prior processing and judgment cannot be made. When the system receives the user alarm, the place where the alarm happens needs to be quickly positioned according to the description of the user, so that the alarm occurrence area and related personnel can be continuously monitored in the follow-up process. The location described by the user often has deviation, and even the alarm location changes due to the change of the field condition, so that the alarm location is inaccurate. Therefore, a solution capable of quickly locating an alarm location and continuously tracking and monitoring an alarm occurrence area is needed.
Disclosure of Invention
In view of this, embodiments of the present invention provide a monitoring alarm positioning and tracking method, apparatus, and electronic device, so as to meet the requirements of quickly positioning an alarm location and continuously tracking and monitoring an alarm occurrence area.
In order to achieve the purpose, the invention provides the following technical scheme:
the embodiment of the invention provides a monitoring alarm positioning tracking method, which comprises the following steps:
acquiring voice content information of user alarm;
performing semantic analysis on the voice content information, and extracting text data related to geographic information in the voice content information;
performing cluster analysis on the text data;
identifying the clustering analysis result through a preset location identification model, and determining a user alarm location;
and calling monitoring equipment corresponding to the user alarm place to track and monitor the area range of the user alarm place according to the user alarm place.
Optionally, the invoking a monitoring device corresponding to the user alarm location to perform tracking monitoring on the area range where the user alarm location is located includes:
dividing the area range of the user alarm place according to the requirement of a preset monitoring area;
determining the monitoring equipment which can be called in the area range;
and controlling the monitoring equipment to track and monitor the area range.
Optionally, the controlling the monitoring device to perform tracking monitoring on the area range includes:
acquiring the warning information of the area range;
judging whether the change of the geographic position occurs in the warning information;
and calling monitoring equipment corresponding to the changed geographical position for tracking and monitoring when the geographical position changes in the alarm information.
Optionally, the acquiring the voice content information of the user alarm includes:
acquiring a voice signal for alarming by a user;
converting the voice signal into text data information;
and converting the text data information into voice content information capable of performing semantic analysis.
Optionally, the preset location identification model is obtained by training in the following manner:
acquiring user alarm data in historical alarm data;
analyzing the user alarm data to generate a classification label;
configuring the user alarm data and the classification labels as sample training data;
and training a text classification model based on sample training data to obtain the preset place recognition model.
Optionally, the user alarm data includes: the system comprises user voice data and alarm place data, wherein the user voice data are recognizable voice text data.
Optionally, the performing cluster analysis on the text data includes:
performing first-level clustering on the text data through a k-means clustering algorithm;
obtaining a word frequency matrix of a first-level clustering result through tf-idf;
and performing secondary clustering through k-means according to the word frequency matrix.
The embodiment of the invention also provides a monitoring alarm positioning tracking device, which comprises:
the acquisition module is used for acquiring voice content information of user alarm;
the analysis module is used for carrying out semantic analysis on the voice content information and extracting text data related to geographic information in the voice content information;
the processing module is used for carrying out clustering analysis on the text data;
the identification module is used for identifying the clustering analysis result through a preset place identification model and determining a user alarm place;
and the control module calls monitoring equipment corresponding to the user alarm place to track and monitor the area range of the user alarm place according to the user alarm place.
An embodiment of the present invention further provides an electronic device, including:
the monitoring alarm positioning and tracking method comprises a memory and a processor, wherein the memory and the processor are mutually connected in a communication manner, computer instructions are stored in the memory, and the processor executes the computer instructions so as to execute the monitoring alarm positioning and tracking method provided by the embodiment of the invention.
The embodiment of the invention also provides a computer-readable storage medium, which stores computer instructions, wherein the computer instructions are used for enabling the computer to execute the monitoring alarm positioning and tracking method provided by the embodiment of the invention.
The technical scheme of the invention has the following advantages:
the embodiment of the invention provides a monitoring alarm positioning tracking method, a monitoring alarm positioning tracking device and electronic equipment, wherein voice content information of user alarm is acquired; analyzing the voice content information based on a preset place recognition model to determine a user alarm place; and calling monitoring equipment corresponding to the user alarm place to track and monitor the area range of the user alarm place according to the user alarm place. By analyzing the alarm voice content of the user, the place where the alarm occurs can be quickly positioned and the alarm occurrence area can be continuously tracked and monitored, so that the accuracy of the alarm place is improved, convenience is brought to subsequent processing work, and the alarm output efficiency is improved; and the records of the field conditions can be effectively saved through tracking and monitoring, and powerful support is provided for the development of subsequent work.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a monitoring alarm positioning tracking method in an embodiment of the invention;
FIG. 2 is a specific flowchart illustrating a process of calling a monitoring device corresponding to a user alarm location to perform tracking monitoring on an area range where the user alarm location is located according to the user alarm location in the embodiment of the present invention;
FIG. 3 is a detailed flowchart of obtaining user alert voice content information in an embodiment of the present invention;
FIG. 4 is a detailed flowchart of a training process of a location identification model preset in the monitoring alarm positioning and tracking method according to the embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a monitoring alarm positioning and tracking device in an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for surveillance alarm location tracking, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
In an embodiment of the present invention, a monitoring alarm positioning and tracking method is provided, as shown in fig. 1, the monitoring alarm positioning and tracking method includes the following steps:
step S1: and acquiring voice content information of user alarm. Specifically, the voice signal is real-time call data between the alarm user and a worker answering the call when the alarm user gives an alarm, the voice signal is subjected to noise reduction processing, and then is identified through a voice identification technology and converted into text data information.
Step S2: and performing semantic analysis on the voice content information, and extracting text data related to geographic information in the voice content information. Specifically, the voice content information includes various information, and useful information, such as street names, building names, and the like in the voice content information, needs to be extracted in the analysis process.
Step S3: and performing cluster analysis on the text data. Specifically, the accuracy of text data analysis can be improved through clustering analysis, and the efficiency of next-step identification is improved.
Step S4: and identifying the result of the clustering analysis through a preset place identification model, and determining the alarm place of the user. Specifically, each classified clustering center sentence is obtained according to the classification result of the clustering, the center sentence is used as the location positioning result of the classification result, the classification result is identified through a preset location identification model, the user alarm location is determined, the location identification model can improve the accuracy of the model through continuous optimization, and finally the alarm location of the user can be accurately identified through input user voice data.
Step S5: and calling monitoring equipment corresponding to the user alarm place to track and monitor the area range of the user alarm place according to the user alarm place.
Through the steps S1 to S5, the monitoring alarm positioning and tracking method provided by the embodiment of the invention can quickly position the place where the alarm occurs and continuously track and monitor the area where the alarm occurs through the description of the alarm condition by the user, so that the inaccuracy of the alarm place due to the change of the field condition is avoided, convenience is brought to the subsequent processing work, and the alarm output efficiency is improved; meanwhile, when an accident happens, the record of the field condition can be effectively stored, and powerful support is provided for the development of subsequent work.
Specifically, in an embodiment, as shown in fig. 2, the step S5 includes the following steps:
step S51: and dividing the area range of the user alarm place according to the requirement of a preset monitoring area.
In practical application, the alarm place can be a certain intersection or a certain market, the area range needing to be called and monitored is divided according to the specific alarm place, the case condition of the alarm place can be accurately observed in the area range, and great convenience is brought to follow-up alarm.
Step S52: and determining the monitoring equipment which can be called in the area range.
Step S53: and controlling the monitoring equipment to track and monitor the area range. Specifically, the monitoring device is called to monitor the field condition, collect the field video, record the field condition, effectively store the record of the field condition, and provide a powerful support for the development of the follow-up work.
Specifically, in an embodiment, the step S53 includes the following steps:
step S531: and acquiring the warning information of the area range. Specifically, the field situation is judged according to the video monitoring situation, and the remote command can be carried out according to the field situation reflected by the video monitoring.
Step S532: and judging whether the change of the geographic position occurs in the warning information. Specifically, when the site situation relates to specific personnel information, the alarm may be affected by position change caused by personnel activities or geographical position change caused by other factors.
Step S533: and calling monitoring equipment corresponding to the changed geographical position for tracking and monitoring when the geographical position changes in the alarm information. Specifically, under the condition, the terminal is required to relay and call related monitoring equipment nearby, and according to the change condition of the geographic position, the alarm location information is updated in real time, so that the alarm occurrence location is tracked and positioned.
Specifically, in an embodiment, as shown in fig. 3, the step S1 includes the following steps:
step S11: and acquiring a voice signal for alarming by a user. Specifically, the voice signal here is real-time call data between the alarm user and the staff answering the call when the alarm is given, when the user alarm is received, the call content at that time can be recorded in real time, the recorded information is subjected to noise reduction and then is sent, the call content is analyzed in real time, the call process and the analysis process are synchronously performed, compared with the prior manual recording, the analysis and positioning are searched according to the record, more time can be saved by the method, and great convenience is brought to follow-up of follow-up work.
Step S12: and converting the voice signal into text data information. Specifically, in the conversation process, an important link during the conversion of the voice signal is to perform noise reduction processing on the voice signal, and then recognize the voice signal through a voice recognition technology.
Step S13: and converting the text data information into voice content information capable of performing semantic analysis. Specifically, in the conversion process, the received voice signal is transmitted in a segmented manner, and a word and sentence breaking error may occur during analysis, so that a self-correction process is preset, when a new voice signal is received, the new voice signal is converted into text data information, and then the text data information is linked with the previous text data information, so that the problem that the language specification is not met due to the speed or sentence breaking in the analysis process is corrected, and the accuracy is improved.
Specifically, in an embodiment, the location identification model preset in step S4 is obtained by training as shown in fig. 4 as follows:
and step S41, acquiring user alarm data in the historical alarm data. Specifically, the user alarm data specifically includes user voice data and alarm location data, the alarm voice data includes description information of an alarm person on buildings or street intersections around the alarm location, and the alarm location data is the alarm location determined by the alarm at that time.
And step S42, analyzing the user alarm data to generate a classification label. Specifically, according to the alarm data of the user, the classification label of the place and the peripheral environment description key words is analyzed and generated, so that the alarm place can be conveniently and quickly confirmed according to the description of the alarm person on the peripheral environment.
And step S43, configuring the user alarm data and the classification labels into sample training data. Specifically, each alarm record can be configured as a sample training data, a large number of alarm records are collected to be called as sample training data, and in the sample collection process, the identification accuracy can be improved by continuously optimizing the surrounding environment information of the same place.
And step S44, training the text classification model based on the sample training data to obtain the preset place recognition model. Specifically, the accuracy of the text classification model is improved by continuously optimizing and labeling the surrounding environment information through the sample training data, and finally the alarm place of the user can be recognized through the preset place recognition model obtained through the text classification model according to the voice signal of the user.
Specifically, the accuracy of recognizing the alarm place of the user can be improved by training the place recognition model, and the place recognition model can be continuously optimized according to the actual situation, so that the purpose of quick recognition is achieved, the overall efficiency is improved, and powerful support is provided for the development of subsequent work.
Specifically, in an embodiment, the user alarm data in step S41 includes: the system comprises user voice data and alarm place data, wherein the user voice data are recognizable voice text data.
Specifically, in an embodiment, the performing a cluster analysis on the text data in step S3 includes:
step S31: and performing primary clustering through a k-means clustering algorithm and the text data. Specifically, a k-means clustering algorithm and prepared text data are used for primary clustering, and the structural information of sentences can be well kept in this way.
The k-means clustering algorithm process comprises the following steps:
the input is a sample set D ═ { x1, x 2.. xm }, a clustered cluster tree k, a maximum number of iterations N;
the output is the cluster partition C ═ { C1, C2.. Ck };
1) randomly select k samples from the data set D as the initial k centroid vectors: { μ 1, μ 2, · μ k }.
2) N for N1, 2
a) Initializing cluster partitioning C to
b) For i 1,2.. m, the distance of the sample xi and the respective centroid vector μ j (j 1,2.. k) is calculated: dij | | xi-Mu j | |22, marking xi as the minimum type λ i corresponding to dij. At this time, C λ i ═ C λ i utoxy { xi };
c) for j 1,2.. k, the new centroid μ j 1| Cj | Σ x ∈ Cjx is recalculated for all sample points in Cj;
d) go to step 3) if all k centroid vectors have not changed.
3) Output cluster division C ═ C1, C2.
The use of the k-means clustering algorithm has the following advantages: the method has the advantages of simple principle, easy realization, high convergence rate, excellent clustering effect and strong interpretability of the algorithm.
Step S32: and obtaining a word frequency matrix of the result of the first-level clustering through tf-idf. Specifically, tf-idf obtains a word frequency matrix of the primary clustering result, and tf-idf is a statistical method for evaluating the importance degree of a word to one of a set of documents or a corpus, and the importance of the word increases in proportion to the number of times it appears in the document, but decreases in inverse proportion to the frequency of occurrence in the corpus.
Step S33: and performing secondary clustering through k-means according to the word frequency matrix.
Specifically, when the text data is more, the primary clustering effect is coarser, secondary clustering is needed, the secondary clustering is performed according to the input word frequency matrix through k-means, the clustering effect is improved, and the clustering effect is more prominent when the data volume is less and the sentences are more regular.
Specifically, in an embodiment, the alarm user may upload picture information of an alarm location, obtain alarm picture data by identifying the picture information, compare the alarm picture data with a real-time monitoring image of a full-area camera, obtain an approximate location of the user, and determine an alarm occurrence location.
Specifically, in an embodiment, a user may perform online alarm through a mobile phone, and obtain positioning information of the mobile phone itself during online alarm, and use the positioning information as a user alarm location.
The embodiment of the present invention further provides a monitoring, alarming, positioning and tracking apparatus, which is used for implementing the above embodiments and preferred embodiments, and the description of the apparatus is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
An embodiment of the present invention provides a monitoring, alarming, positioning and tracking apparatus, as shown in fig. 5, including:
the obtaining module 101 is configured to obtain voice content information of the user alarm, and details of the voice content information refer to the related description of step S1 in the foregoing method embodiment, which is not described herein again.
The analysis module 102 is configured to perform semantic analysis on the voice content information, and extract text data related to the geographic information in the voice content information, for details, refer to the related description of step S2 in the foregoing method embodiment, and details are not described here again.
The processing module 103 is configured to perform cluster analysis on the text data, and details refer to relevant description of step S3 in the foregoing method embodiment, which is not described herein again.
The identifying module 104 is configured to identify a result of the cluster analysis through a preset location identification model, and determine a user alarm location, for details, refer to the related description of step S4 in the foregoing method embodiment, and are not described herein again.
The control module 105 invokes, according to the user alarm location, a monitoring device corresponding to the user alarm location to perform tracking monitoring on the area range where the user alarm location is located, for details, refer to the related description of step S5 in the foregoing method embodiment, and no further description is provided here.
Through the cooperative cooperation of the components, the monitoring alarm positioning and tracking device provided by the embodiment of the invention can quickly position the place where the alarm occurs and continuously track and monitor the alarm occurrence area by analyzing the alarm voice content of the user, thereby improving the accuracy of the alarm place, bringing convenience to subsequent processing work and improving the alarm efficiency; and the records of the field conditions can be effectively saved through tracking and monitoring, and powerful support is provided for the development of subsequent work. .
The monitoring, alarm, location, and tracking apparatus of embodiments of the present invention are embodied in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and memory executing one or more software or fixed programs, and/or other devices that may provide the above-described functionality.
Further functional descriptions of the modules are the same as those of the corresponding method embodiments, and are not repeated herein.
There is also provided an electronic device according to an embodiment of the present invention, as shown in fig. 6, the electronic device may include a processor 901 and a memory 902, where the processor 901 and the memory 902 may be connected by a bus or in another manner, and fig. 6 illustrates an example of a connection by a bus.
The memory 902, which is a non-transitory computer readable storage medium, may be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods in the method embodiments of the present invention. The processor 901 executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions and modules stored in the memory 902, that is, implements the methods in the above-described method embodiments.
The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 901, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 902 may optionally include memory located remotely from the processor 901, which may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 902, which when executed by the processor 901 performs the methods in the above-described method embodiments.
The specific details of the electronic device may be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, and the program can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A monitoring alarm positioning tracking method is characterized by comprising the following steps:
acquiring voice content information of user alarm;
performing semantic analysis on the voice content information, and extracting text data related to geographic information in the voice content information;
performing cluster analysis on the text data;
identifying the clustering analysis result through a preset location identification model, and determining a user alarm location;
and calling monitoring equipment corresponding to the user alarm place to track and monitor the area range of the user alarm place according to the user alarm place.
2. The monitoring alarm positioning and tracking method according to claim 1, wherein the invoking of the monitoring device corresponding to the user alarm location to perform tracking monitoring on the area range where the user alarm location is located comprises:
dividing the area range of the user alarm place according to the requirement of a preset monitoring area;
determining the monitoring equipment which can be called in the area range;
and controlling the monitoring equipment to track and monitor the area range.
3. The monitoring alarm positioning and tracking method according to claim 2, wherein the controlling the monitoring device to perform tracking monitoring on the area range comprises:
acquiring the warning information of the area range;
judging whether the change of the geographic position occurs in the warning information;
and calling monitoring equipment corresponding to the changed geographical position for tracking and monitoring when the geographical position changes in the alarm information.
4. The monitoring alarm positioning and tracking method according to claim 1, wherein the obtaining of the voice content information of the user alarm comprises:
acquiring a voice signal for alarming by a user;
converting the voice signal into text data information;
and converting the text data information into voice content information capable of performing semantic analysis.
5. The monitoring, alarming, positioning and tracking method according to any of claims 1 to 4, wherein the preset location identification model is trained by:
acquiring user alarm data in historical alarm data;
analyzing the user alarm data to generate a classification label;
configuring the user alarm data and the classification labels as sample training data;
and training a text classification model based on sample training data to obtain the preset place recognition model.
6. The monitoring alarm positioning and tracking method according to any of claims 1 to 5, wherein the user alarm data comprises: the system comprises user voice data and alarm place data, wherein the user voice data are recognizable voice text data.
7. The monitoring alarm positioning and tracking method according to claim 1, wherein the clustering analysis of the text data comprises:
performing first-level clustering on the text data through a k-means clustering algorithm;
obtaining a word frequency matrix of a first-level clustering result through tf-idf;
and performing secondary clustering through k-means according to the word frequency matrix.
8. A monitoring alarm positioning and tracking device, comprising:
the acquisition module is used for acquiring voice content information of user alarm;
the analysis module is used for carrying out semantic analysis on the voice content information and extracting text data related to geographic information in the voice content information;
the processing module is used for carrying out clustering analysis on the text data;
the identification module is used for identifying the clustering analysis result through a preset place identification model and determining a user alarm place;
and the control module calls monitoring equipment corresponding to the user alarm place to track and monitor the area range of the user alarm place according to the user alarm place.
9. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the monitoring alarm location tracking method of any of claims 1-8.
10. A computer readable storage medium having stored thereon computer instructions for causing a computer to perform the monitoring alarm position tracking method of any of claims 1-8.
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Application publication date: 20210813 |