WO2021136455A1 - Procédé et appareil de reconnaissance de similarité d'intervention d'urgence de police, et dispositif - Google Patents

Procédé et appareil de reconnaissance de similarité d'intervention d'urgence de police, et dispositif Download PDF

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Publication number
WO2021136455A1
WO2021136455A1 PCT/CN2020/141811 CN2020141811W WO2021136455A1 WO 2021136455 A1 WO2021136455 A1 WO 2021136455A1 CN 2020141811 W CN2020141811 W CN 2020141811W WO 2021136455 A1 WO2021136455 A1 WO 2021136455A1
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WIPO (PCT)
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alarm
historical
current
record
similarity
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PCT/CN2020/141811
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English (en)
Chinese (zh)
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陈建国
孙占辉
苏国锋
陈涛
袁宏永
周正青
田超
郎燕侠
郑晓娜
张春霞
邓欢
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清华大学
北京辰安科技股份有限公司
北京辰安信息科技有限公司
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Publication of WO2021136455A1 publication Critical patent/WO2021136455A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G06Q50/265—Personal security, identity or safety

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  • This application relates to the field of machine learning technology, and in particular to a method, device and equipment for identifying similarity of police situation.
  • the person who reports to the police shall describe the situation of the alarm to the person receiving the police by means of telephone alarm, SMS alarm, network alarm, etc.
  • the similarity judgment is of great significance. If the staff receiving and handling police do not make similar judgments, it will cause the same police situation to be dealt with repeatedly and waste police resources.
  • the staff who receive and dispose of the police usually judge similar alarm conditions manually based on their experience, and the efficiency is low, and each alarm may generate new alarm information, which makes the judgment difficult and less accurate.
  • This application aims to solve one of the technical problems in the related technology at least to a certain extent.
  • this application proposes a method, device, equipment, and storage medium for identifying similarity of police conditions.
  • acquiring historical alarm records similar to the current alarm information in the process of receiving an alarm it realizes automatic identification of similar police conditions and improves the work of police officers. Efficiency, improve the accuracy of discrimination.
  • the embodiment of the first aspect of the present application proposes a method for identifying similarity of police situation, including:
  • the similarity calculation is performed on the current alarm information and each of the historical alarm records, and the target historical alarm records similar to the current alarm information are filtered according to the calculation result.
  • the method for identifying the similarity of the alarm situation extracts the characteristics of the current alarm situation by analyzing the current alarm information, and further, obtains all historical alarm records that meet the preset matching conditions according to the current alarm situation characteristics. Further, the similarity calculation is performed on the current alarm information and each historical alarm record, and the target historical alarm records that are similar to the current alarm information are filtered according to the calculation result. As a result, by acquiring historical alarm records similar to the current alarm information during the alarm reception process, automatic identification of similar alarm conditions is realized, avoiding waste of police resources caused by repeated processing, and improving the work efficiency and accuracy of discrimination of the police. At the same time, the judgment is based on the text similarity, which improves the accuracy of similar warnings.
  • alert similarity recognition method may also have the following additional technical features:
  • obtaining all historical alarm records that meet a preset matching condition according to the current alarm feature includes: obtaining a preset period of time corresponding to the alarm number The first candidate historical alarm record; query the pre-stored alarm state corresponding to the first candidate historical alarm record, and obtain the unclosed first target from the first candidate historical alarm record according to the alarm state Historical alarm records.
  • the acquiring all historical alarm records that meet a preset matching condition according to the current alarm feature includes: obtaining the alarm information within a preset range of the alarm address The second candidate historical alarm record; the second target historical alarm record within a preset time period is obtained from the second candidate historical alarm record.
  • acquiring all historical alarm records that meet a preset matching condition according to the current alert situation feature includes: acquiring a preset corresponding to the alarm situation type The third candidate historical alarm record in the time period; the third target historical alarm record carrying a similar mark is obtained from the third candidate historical alarm record.
  • the calculation of similarity between the current alarm information and each of the historical alarm records includes: extracting the first high-frequency word in the current alarm information and the second word of each historical alarm record High-frequency words, calculating the distance between the first high-frequency word and the second high-frequency word; calculating the semantic relationship similarity between the current alarm information and each of the historical alarm records; according to the first high The distance between the frequency word and the second high-frequency word and the similarity of the semantic relationship are calculated to calculate the similarity between the current alarm information and each of the historical alarm records.
  • an alert similarity recognition device including:
  • the extraction module is used to analyze the current alarm information and extract the current alarm characteristics
  • An obtaining module configured to obtain all historical alarm records that meet preset matching conditions according to the current alarm characteristics
  • the screening module is used to calculate the similarity between the current alarm information and each of the historical alarm records, and filter the target historical alarm records similar to the current alarm information according to the calculation result.
  • the alarm situation similarity recognition device of the embodiment of the present application obtains historical alarm records similar to the current alarm information during the alarm reception process, realizes automatic identification of similar alarm situations, avoids the waste of police resources caused by repeated processing, and improves the work efficiency of the police officer. And the accuracy of discrimination. At the same time, the judgment is based on the text similarity, which improves the accuracy of similar warnings.
  • alert similarity recognition device may also have the following additional technical features:
  • the obtaining module is specifically configured to: obtain the first candidate historical alarm record within a preset time period corresponding to the alarm number; A candidate historical alarm record corresponds to an alarm state respectively, and an unclosed first target historical alarm record is obtained from the first candidate historical alarm record according to the alarm state.
  • the acquiring module is specifically configured to: obtain a second candidate historical alarm record within a preset range of the alarm information address; from the second candidate history The historical alarm record of the second target within the preset time period is acquired from the alarm record.
  • the acquiring module is specifically configured to: obtain a third candidate historical alarm record within a preset time period corresponding to the alarm type; The third target historical alarm record carrying the similar mark is obtained from the candidate historical alarm record.
  • the screening module is specifically configured to: extract the first high-frequency words in the current alarm information and the second high-frequency words in each of the historical alarm records, and calculate the difference between the first high-frequency words and the The distance of the second high-frequency word; calculating the similarity of the semantic relationship between the current alarm information and each of the historical alarm records; according to the distance between the first high-frequency word and the second high-frequency word and the According to the semantic relationship similarity, the similarity between the current alarm information and each historical alarm record is calculated.
  • An embodiment of the third aspect of the present application proposes a computer device, including a processor and a memory; wherein the processor reads the executable program code stored in the memory to run a computer corresponding to the executable program code.
  • the program is used to implement the alert similarity recognition method as described in the embodiment of the first aspect.
  • the embodiment of the fourth aspect of the present application proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method for identifying similarity of the alarm situation as described in the embodiment of the first aspect is implemented.
  • FIG. 1 is a schematic flow chart of a method for identifying similarity of alarm conditions provided by an embodiment of the application
  • FIG. 2 is a schematic flowchart of another method for identifying similarity of alarm conditions provided by an embodiment of the application
  • FIG. 3 is a schematic flowchart of another method for identifying similarity of alarm conditions provided by an embodiment of the application
  • FIG. 4 is a schematic flowchart of another method for identifying similarity of alarm conditions provided by an embodiment of the application.
  • FIG. 5 is a schematic structural diagram of an alarm situation similarity recognition device provided by an embodiment of the application.
  • Fig. 1 is a schematic flow chart of a method for identifying similarity of alarm conditions provided by an embodiment of the application. As shown in Fig. 1, the method includes:
  • Step 101 Analyze current alarm information and extract current alarm features.
  • the current alarm information when performing alarm similarity recognition, can be acquired first, and the current alarm information can be analyzed to extract the current alarm characteristics.
  • the alarm information includes the content of the voice call between the caller and the policeman.
  • the text information showing the content of the call between the two parties is obtained, and then semantic recognition analysis is performed based on the text information, and the current police situation features are extracted .
  • the characteristics of the alarm situation include the alarm number, the address of the alarm situation, and the type of the alarm situation.
  • Step 102 Acquire all historical alarm records that meet preset matching conditions according to the current alarm characteristics.
  • matching conditions can be set for different alarm characteristics, and then processing is performed according to the current alarm characteristics and preset matching conditions to determine all historical alarm records that may be similar to the current alarm information.
  • the current alarm feature is the alarm number
  • all historical alarm records that meet the preset matching conditions are acquired according to the current alarm feature, including: obtaining the first candidate within the preset time period corresponding to the alarm number Historical alarm records. Furthermore, query the pre-stored alarm state respectively corresponding to the first candidate historical alarm record, and obtain the unclosed first target historical alarm record from the first candidate historical alarm record according to the alarm state.
  • the current alarm feature is the alarm address
  • all historical alarm records that meet the preset matching conditions are obtained according to the current alarm feature, including: obtaining the second candidate within the preset range of the alarm address
  • the historical alarm record is used to obtain the second target historical alarm record within a preset time period from the second candidate historical alarm record.
  • the current alarm feature is an alarm type
  • all historical alarm records that meet the preset matching condition are acquired according to the current alarm feature, including: obtaining the first alarm record in the preset time period corresponding to the alarm type Three candidate historical alarm records, and further, obtain a third target historical alarm record carrying a similar mark from the third candidate historical alarm record.
  • Step 103 Perform similarity calculation on the current alarm information and each historical alarm record, and filter target historical alarm records similar to the current alarm information according to the calculation result.
  • the similarity between the current alarm information and each historical alarm record is calculated, and the historical alarm records are filtered according to the calculated similarity ,
  • the similarity threshold can be preset, and the preset similarity threshold is compared with the calculated similarity. If the similarity of the historical alarm record is greater than the preset display threshold, the historical alarm record is determined to be the target historical alarm recording.
  • the similarity threshold can be determined based on a large amount of experimental data, or can be set by itself according to actual needs, and there is no limitation here.
  • calculating the similarity between the current alarm information and each historical alarm record includes: extracting the first high-frequency word in the current alarm information and the second high-frequency word in each historical alarm record, and calculating The distance between the first high-frequency word and the second high-frequency word. Furthermore, the semantic relationship similarity between the current alarm information and each historical alarm record is calculated, and the semantic relationship similarity between the current alarm information and each historical alarm record is calculated according to the distance between the first high-frequency word and the second high-frequency word and the semantic relationship similarity ⁇ similarity.
  • High-frequency words and calculate the distance between the first high-frequency word and the second high-frequency word through related algorithms.
  • the vector representation of the current alarm information and each historical alarm record is obtained based on the language model, and the semantic relationship similarity between the current alarm information and each historical alarm record is calculated according to the vector representation.
  • the similarity between the current alarm information and each historical alarm record is calculated by a weighted summation method.
  • the target historical alarm records similar to the current alarm information are filtered according to the calculation result
  • the target historical alarm records may be sorted and displayed in descending order according to the similarity corresponding to the target historical alarm records.
  • the method for identifying the similarity of the alarm situation extracts the characteristics of the current alarm situation by analyzing the current alarm information, and further, obtains all historical alarm records that meet the preset matching conditions according to the current alarm situation characteristics. Further, the similarity calculation is performed on the current alarm information and each historical alarm record, and the target historical alarm records that are similar to the current alarm information are filtered according to the calculation result. As a result, by obtaining historical alarm records similar to the current alarm information during the alarm reception process, automatic identification of similar alarm conditions is realized, the waste of police resources caused by repeated processing is avoided, and the work efficiency and discrimination accuracy of the policemen are improved. At the same time, the judgment is based on the text similarity, which improves the accuracy of similar warnings.
  • Fig. 2 is a schematic flow chart of a method for identifying similarity of alarm conditions provided by an embodiment of the application. As shown in Fig. 2, the method includes:
  • Step 201 Obtain the first candidate historical alarm record within a preset time period corresponding to the alarm number.
  • the alarm record serves as the first candidate historical alarm record.
  • the preset time period can be set as needed.
  • Step 202 Query the pre-stored alarm state respectively corresponding to the first candidate historical alarm record, and obtain the unclosed first target historical alarm record from the first candidate historical alarm record according to the alarm state.
  • an alarm status database can be set up in advance, and all alarm information and corresponding alarm statuses can be recorded in the database, where the alarm status includes unassigned, dispatched, arrived, closed, and so on.
  • the alarm state corresponding to the first candidate historical alarm record is obtained by querying the database, and then the first target historical alarm record whose alarm state is not closed is filtered out according to the first candidate historical alarm record.
  • the historical alarm records in the closed state usually indicate that the processing has been completed.
  • the historical alarm records in the unclosed state there may be situations in which the alarm person repeats the alarm or consults the processing progress. Therefore, according to the historical alarm records of the same alarm number, the historical alarm records of which the alarm status is not closed can be obtained, which can assist in judging whether the current alarm is an individual repeated alarm, so as to determine that the current alarm information may be similar to the current alarm information.
  • Historical alarm records ensure the efficiency of similar alarm situations.
  • FIG. 3 is a schematic flow chart of a method for identifying similarity of alarm conditions provided by an embodiment of the application. As shown in FIG. 3, the method includes:
  • Step 301 Obtain a second candidate historical alarm record within a preset range of the alarm address.
  • the alarm address is recorded every time an alarm is received, and further, for the current alarm information, all historical alarm records of the current alarm address are acquired as the second candidate historical alarm record.
  • all historical alarm records of surrounding addresses within the radius r of the current alarm address may also be obtained as the second candidate historical alarm record.
  • Step 302 Obtain the second target historical alarm record within a preset time period from the second candidate historical alarm record.
  • the second candidate historical alarm record whose interval with the current time is less than the preset value is determined as the second target Historical alarm records.
  • the historical alarm record can assist in judging whether the current alarm is a repeated alarm, so as to determine the historical alarm record that may be similar to the current alarm information, and ensure the efficiency of similar alarm judgment.
  • Fig. 4 is a schematic flow chart of a method for identifying similarity of alarm conditions provided by an embodiment of the application. As shown in Fig. 4, the method includes:
  • Step 401 Obtain a third candidate historical alarm record within a preset time period corresponding to the type of alarm situation.
  • the alarm type is recorded every time an alarm is received, where the alarm type may include a fire alarm, a traffic accident, and the like.
  • the alarm type may include a fire alarm, a traffic accident, and the like.
  • the preset time period can be determined according to the current alarm time.
  • Step 402 Obtain a third target historical alarm record carrying a similar mark from the third candidate historical alarm record.
  • a similar mark may be set on the historical alarm record in advance, and the third target historical alarm record carrying the similar mark may be obtained from the third candidate historical alarm record.
  • the policeman may determine whether it is a major similar alarm when receiving the alarm, and if so, set the similarity flag, and then, for the current alarm information, obtain the third candidate historical alarm record, and determine from it that carries the similar flag The third target historical alarm record.
  • the policeman A receives a fire alarm 1, and the policeman A judges that it is a major similar alarm based on experience and marks the similar sign.
  • the policeman B receives a fire alarm 2, and obtains the fire alarm 1 with a similar mark according to the type and time of the alarm, as a historical alarm record that may be similar to the current fire alarm 2.
  • the present application also proposes an alert similarity recognition device.
  • FIG. 5 is a schematic structural diagram of a device for identifying similarity of alarm conditions provided by an embodiment of the application. As shown in FIG. 5, the device includes: an extraction module 10, an acquisition module 20, and a screening module 30.
  • the extraction module 10 is used to analyze the current alarm information and extract the current alarm characteristics.
  • the obtaining module 20 is configured to obtain all historical alarm records that meet the preset matching conditions according to the current alarm characteristics.
  • the screening module 30 is used to calculate the similarity between the current alarm information and each historical alarm record, and filter the target historical alarm records that are similar to the current alarm information according to the calculation result.
  • the current alarm feature is an alarm number
  • the obtaining module 20 is specifically configured to: obtain the first candidate historical alarm record within a preset time period corresponding to the alarm number; The first candidate historical alarm records respectively correspond to the alarm state, and the unclosed first target historical alarm record is obtained from the first candidate historical alarm record according to the alarm state.
  • the current alarm feature is an alarm address
  • the acquiring module 20 is specifically configured to: obtain a second candidate historical alarm record within a preset range of the alarm address; Acquire the historical alarm record of the second target within the preset time period from the historical alarm record.
  • the current alarm feature is an alarm type
  • the acquiring module 20 is specifically configured to: obtain a third candidate historical alarm record within a preset time period corresponding to the alarm type; From the three candidate historical alarm records, obtain a third target historical alarm record carrying a similar mark.
  • the screening module 30 is specifically configured to: extract the first high-frequency word in the current alarm information and the second high-frequency word in each of the historical alarm records, and calculate the first high-frequency word The distance between the frequency word and the second high-frequency word; calculate the semantic relationship similarity between the current alarm information and each of the historical alarm records; according to the first high-frequency word and the second high-frequency word Calculate the similarity between the current alarm information and each historical alarm record.
  • the alarm situation similarity recognition device of the embodiment of the present application extracts the current alarm situation characteristics by analyzing the current alarm information, and further, obtains all historical alarm records that meet the preset matching conditions according to the current alarm situation characteristics. Further, the similarity calculation is performed on the current alarm information and each historical alarm record, and the target historical alarm records that are similar to the current alarm information are filtered according to the calculation result. As a result, by obtaining historical alarm records similar to the current alarm information during the alarm reception process, automatic identification of similar alarm conditions is realized, the waste of police resources caused by repeated processing is avoided, and the work efficiency and discrimination accuracy of the policemen are improved. At the same time, the judgment is based on the text similarity, which improves the accuracy of similar warnings.
  • this application also proposes a computer device, including a processor and a memory; wherein the processor reads the executable program code stored in the memory to run a program corresponding to the executable program code for use in The method for identifying similarity of alert situation as described in any of the foregoing embodiments is realized.
  • this application also proposes a computer program product, which when the instructions in the computer program product are executed by a processor, realizes the alert similarity recognition method as described in any of the foregoing embodiments.
  • the present application also proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method for identifying the similarity of the alert situation as described in any of the foregoing embodiments is implemented.
  • first and second are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with “first” and “second” may explicitly or implicitly include at least one of the features. In the description of the present application, "a plurality of” means at least two, such as two, three, etc., unless specifically defined otherwise.
  • a "computer-readable medium” can be any device that can contain, store, communicate, propagate, or transmit a program for use by an instruction execution system, device, or device or in combination with these instruction execution systems, devices, or devices.
  • computer readable media include the following: electrical connections (electronic devices) with one or more wiring, portable computer disk cases (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable and editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because it can be used, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable media if necessary. The program is processed in a manner to obtain the program electronically, and then stored in the computer memory.
  • each part of this application can be implemented by hardware, software, firmware, or a combination thereof.
  • multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if it is implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of the following technologies known in the art: Discrete logic circuits, application-specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.
  • a person of ordinary skill in the art can understand that all or part of the steps carried in the method of the foregoing embodiments can be implemented by a program instructing relevant hardware to complete.
  • the program can be stored in a computer-readable storage medium. When executed, it includes one of the steps of the method embodiment or a combination thereof.
  • the functional units in the various embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or software functional modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.
  • the aforementioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

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Abstract

Procédé et appareil de reconnaissance de similarité d'intervention d'urgence de police, et dispositif. Ledit procédé consiste à : analyser des informations d'intervention d'urgence de police actuelles et extraire des caractéristiques d'intervention d'urgence de police actuelles (101) ; acquérir, en fonction des caractéristiques d'intervention d'urgence de police actuelles, tous les dossiers d'intervention d'urgence de police historiques satisfaisant à une condition de correspondance prédéfinie (102) ; exécuter un calcul de similarité des informations d'intervention d'urgence de police actuelles et des dossiers d'intervention d'urgence de police historiques, et sélectionner, en fonction du résultat de calcul, un dossier d'intervention d'urgence de police historique cible similaire aux informations d'intervention d'urgence de police actuelles (103). Ainsi, la détermination automatique d'interventions d'urgence similaires est assurée par acquisition du dossier d'intervention d'urgence de police historique similaire aux informations d'intervention d'urgence de police actuelles lors d'un processus d'affectation d'urgence de police, ce qui permet d'améliorer l'efficacité de travail d'un agent d'affectation, et d'améliorer la précision de détermination.
PCT/CN2020/141811 2019-12-31 2020-12-30 Procédé et appareil de reconnaissance de similarité d'intervention d'urgence de police, et dispositif WO2021136455A1 (fr)

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