CN112967715A - Fire fighting alarm handling method and device based on intelligent AI voice interaction algorithm - Google Patents
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Abstract
The application relates to a fire fighting and alarm handling method based on an intelligent AI voice interaction algorithm, wherein the fire fighting and alarm handling method based on the intelligent AI voice interaction algorithm comprises the following steps: receiving an early warning signal sent by a fire-fighting early warning system; dialing a voice message to a preset inspection person to inform the early warning signal, wherein the preset inspection person is a preset inspection person; communicating with the inspection personnel through an intelligent AI voice interaction algorithm and returning the communication content record; capturing keywords of the alternating content record according to the alternating content record, judging whether the early warning signal is a false alarm or not, if so, dialing a voice message to a preset inspection staff to inform that the early warning signal is the false alarm, and simultaneously backing up related voice files; if not, a preset fire fighting process is started, and the early warning signal is pushed to a preset responsible person and rescue personnel in a voice mode. Through the application, the problem that the workload of relevant personnel for verifying and dealing with the fire during fire fighting and dealing with the alarm in the related technology is large is solved, and the fire fighting and dealing with the alarm based on the intelligent AI voice interaction algorithm is realized.
Description
Technical Field
The application relates to the field of fire safety, in particular to a fire fighting alarm handling method and device based on an intelligent AI voice interaction algorithm.
Background
Along with the development of production capacity, fire safety is more and more important in social production. In order to ensure fire safety, most enterprises arrange fire safety responsible personnel to carry out on-site inspection when a fire early warning system sends out an early warning signal. However, due to various complex factors in actual production and operation, misjudgment of fire early warning may occur to cause waste of human resources, and the workload of relevant personnel at the site for message verification and the energy waste of misjudgment of fire early warning to personnel handling the police are increased.
At present, an effective solution is not provided aiming at the problem of large workload of relevant personnel for verifying and processing the fire during fire fighting and processing the alarm in the related technology.
Disclosure of Invention
The embodiment of the application provides a fire-fighting alarm-processing method and device based on an intelligent AI voice interaction algorithm, and aims to at least solve the problem that the workload of relevant personnel for verifying and processing an alarm during fire-fighting alarm-processing in the related technology is large.
In a first aspect, an embodiment of the present application provides a fire fighting alarm method based on an intelligent AI voice interaction algorithm, including:
receiving an early warning signal sent by a fire-fighting early warning system;
dialing a voice message to a preset inspection person to inform the early warning signal, wherein the preset inspection person is a preset inspection person;
communicating with the inspection personnel through an intelligent AI voice interaction algorithm and returning the communication content record;
capturing keywords of the alternating content record according to the alternating content record, judging whether the early warning signal is a false alarm or not, if so, dialing a voice message to a preset inspection staff to inform that the early warning signal is the false alarm, and simultaneously backing up related voice files; if not, a preset fire fighting process is started, and the early warning signal is pushed to a preset responsible person and rescue personnel in a voice mode.
In one embodiment, the step of dialing the voice message to notify the early warning signal to the preset inspection personnel comprises the following steps:
preprocessing the early warning signal, wherein the preprocessing comprises analyzing the early warning signal to obtain preset warning information, and the preset warning information comprises abnormal point position information and a preset abnormal type;
performing voice conversion processing on the pre-processed early warning signal, wherein the voice conversion processing comprises converting the preset warning information into audio information;
and sending the audio information to the preset inspection personnel by dialing a voice message.
In one embodiment, the intelligent AI speech interaction algorithm includes a linear prediction cepstral coefficient algorithm and a Mel cepstral coefficient algorithm.
In one embodiment, capturing keywords of the communication content record according to the communication content record, and determining whether the warning signal is a false positive includes:
receiving the communication content, and extracting keywords from the communication content, wherein the keyword extraction comprises the steps of textualizing the communication content, and extracting preset keywords from the text of the communication content through a TextRank, LDA, TPR or TextRank keyword extraction algorithm, wherein the preset keywords are preset keywords capable of being used for determining alarm information;
comparing the extracted keywords with a preset keyword list, if the coincidence degree of the keywords and the preset keyword list is smaller than a preset proportion, judging that the early warning signal is false alarm, and simultaneously backing up a related voice file, and if the coincidence degree of the keywords and the preset keyword list is larger than or equal to the preset proportion, starting the preset fire fighting flow, and pushing the early warning signal to a preset responsible person and a rescue worker in a voice mode.
In one embodiment, the text-based presentation of the communication content comprises:
and performing voice recognition on the communication content, storing the recognized communication content in a json string mode, extracting voice information, and outputting the voice information as a text file in a character string mode.
In a second aspect, an embodiment of the present application provides a fire fighting alarm device based on an intelligent AI voice interaction algorithm, including:
the receiving module is used for receiving an early warning signal sent by the fire-fighting early warning system;
the voice output module is used for dialing a voice message notification early warning signal to preset inspection personnel;
the voice communication module is used for communicating with the inspection personnel through an intelligent AI voice interaction algorithm and returning the communication content record;
the judging module is used for capturing keywords of the communication content record according to the communication content record and judging whether the early warning signal is misinformation or not;
and the alarm processing module is used for pushing the early warning signal to a preset responsible person and rescue personnel in a voice mode under the condition of judging that the early warning signal is not misinformed.
Compared with the related art, the fire fighting alarm processing method based on the intelligent AI voice interaction algorithm automatically identifies the voice input information of fire fighting patrol personnel through the intelligent algorithm, solves the problem of large workload of relevant personnel for verifying and processing the alarm during fire fighting and alarm processing in the related art, and realizes the labor cost for fire fighting and alarm processing.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a fire fighting alarm handling method based on an intelligent AI voice interaction algorithm according to an embodiment of the application;
FIG. 2 is a flowchart of a fire fighting alarm processing method based on an intelligent AI voice interaction algorithm according to a preferred embodiment of the present application;
fig. 3 is a structural diagram of a fire protection alarm processing device based on an intelligent AI voice interaction algorithm according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The embodiment provides a fire fighting alarm handling method based on an intelligent AI voice interaction algorithm. Fig. 1 is a flowchart of a fire fighting alarm method based on an intelligent AI voice interaction algorithm according to an embodiment of the present application, and as shown in fig. 1, the flowchart includes the following steps:
and S101, receiving an early warning signal sent by a fire-fighting early warning system.
And S102, dialing a voice message notification early warning signal to a preset inspection person, wherein the preset inspection person is a preset inspection person.
And S103, communicating with the inspection personnel through an intelligent AI voice interaction algorithm and returning the communication content record.
And step S104, capturing keywords of the communication content record according to the communication content record.
And step S105, judging whether the early warning signal is false.
And S106, if not, starting a preset fire fighting process, and pushing the early warning signal to a preset responsible person and rescue personnel in a voice mode.
And step S107, if so, dialing a voice message to a preset inspection staff to inform the early warning signal that the early warning signal is false alarm.
And step S108, backing up the related voice file.
In this embodiment, the fire-fighting early warning system specifically includes: the fire monitoring data is accessed to a corresponding fire monitoring unit, the monitoring unit can be a micro fire station, a fire brigade or a special operation and maintenance service provider, and the monitoring unit receives abnormal message pushing of fire monitoring.
In this embodiment, the early warning signal in the early warning signal is notified by dialing the voice message to the preset inspection staff includes a position which may have a fire safety hazard and a fire safety hazard type, which are found by a fire monitoring unit, wherein the position which may have the fire safety hazard is stored in a data pair in a coordinate digital form, and the type of the fire safety hazard is stored in a key value pair in a preset digital form.
In one embodiment, the intelligent AI speech interaction algorithm includes a Linear Prediction Cepstrum Coefficient algorithm and a Mel Cepstrum Coefficient algorithm, wherein the Linear Prediction Cepstrum Coefficients (Linear Prediction Cepstral coeffients) are calculated by smooth Auto-Regressive power spectrum (smooth Auto-Regressive power spectrum), and the Mel Cepstrum Coefficients (Mel Frequency Cepstrum Coefficients) are proposed based on the auditory characteristics of human ears and have a nonlinear correspondence with the Hz Frequency. Mel Frequency Cepstral Coefficients (MFCC) are the Hz spectral features calculated by using the relationship between them. Compared with the traditional AI intelligent voice interaction algorithm, the method has higher information receiving efficiency and processing efficiency through the linear prediction cepstrum coefficient algorithm and the Mel cepstrum coefficient algorithm.
In one embodiment, capturing keywords of the communication content record according to the communication content record, and determining whether the warning signal is a false alarm includes: receiving the communication content, and extracting keywords from the communication content, wherein the keyword extraction comprises the steps of textualizing the communication content, and extracting preset keywords from the text of the communication content through a TextRank, LDA, TPR or TextRank keyword extraction algorithm, wherein the preset keywords are preset keywords which can be used for determining alarm information; and comparing the extracted keywords with a preset keyword list, if the coincidence degree of the keywords and the preset keyword list is smaller than a preset proportion, judging that the early warning signal is false alarm, simultaneously backing up a related voice file, and if the coincidence degree of the keywords and the preset keyword list is larger than or equal to the preset proportion, starting a preset fire fighting flow and pushing the early warning signal to preset responsible persons and rescue personnel in a voice mode.
Through the steps, the fire-fighting early warning signal is processed through the AI intelligent voice algorithm and then sent to the preset fire-fighting safety responsible personnel, whether misjudgment occurs to the fire-fighting safety information is judged through the intelligent voice conversation information of the preset fire-fighting safety responsible personnel, whether a fire-fighting safety emergency plan is started is judged according to the voice information of the preset fire-fighting safety responsible personnel, manual investigation is replaced by the computer intelligent algorithm, the cost is saved, and the consumption of human resources is reduced.
The embodiment also provides a fire fighting alarm handling method based on the intelligent AI voice interaction algorithm. Fig. 2 is a flowchart of a fire fighting alarm method based on an intelligent AI voice interaction algorithm according to a preferred embodiment of the present application, and as shown in fig. 2, the flowchart includes the following steps:
step S201, receiving an early warning signal sent by a fire-fighting early warning system.
And step S202, preprocessing the early warning signal.
In this embodiment, preliminary treatment includes that early warning signal carries out the analysis, obtains preset alarm information, and preset alarm information includes unusual position location information and presets unusual type, and wherein, the purpose that carries out the preliminary treatment turns into distinguishable early warning signal with fire control early warning signal, and noise and interference factor that contain in the early warning signal of preliminary treatment filtering simultaneously reduce the position error and the type error of fire control safety hidden danger among the early warning information.
And step S203, performing voice conversion processing on the pre-processed early warning signal.
In this embodiment, the voice conversion processing includes converting preset alarm information into audio information, where the above-mentioned early warning signal includes the specific position and the type of the fire safety hazard, and the above-mentioned early warning signal is recorded in the form of character codes before the voice conversion processing, and the fire safety early warning signal after the voice conversion processing is stored in the form of audio information, and is ready to be sent to preset personnel according to the determination result of the subsequent step. Through this embodiment, convert the fire control early warning signal into speech information, improved the readability of fire control early warning information, it is more convenient to make follow-up step carry out the interaction with AI intelligence speech algorithm's mode.
And step S204, sending the audio information to a preset inspection worker by dialing a voice message.
And S205, communicating with the inspection personnel through an intelligent AI voice interaction algorithm and returning the communication content record.
And step S206, capturing keywords of the communication content record according to the communication content record.
And step S207, judging whether the early warning signal is false.
And S208, if not, starting a preset fire fighting process, and pushing the early warning signal to a preset responsible person and rescue personnel in a voice mode.
And step S209, if yes, dialing a voice message to the preset inspection personnel to inform the preset inspection personnel that the early warning signal is false alarm.
In step S210, the related voice file is backed up.
Through the steps, the fire-fighting early warning signal is sent to the preset fire-fighting safety responsible personnel after being preprocessed through the AI intelligent voice algorithm, whether fire-fighting safety information is misjudged through intelligent voice conversation information of the preset fire-fighting safety responsible personnel, whether a fire-fighting safety emergency plan is started is judged according to the voice information of the preset fire-fighting safety responsible personnel, manual investigation is replaced by the computer intelligent algorithm, the cost is saved, and the consumption of human resources is reduced.
The embodiments of the present application are described and illustrated below by means of preferred embodiments.
The embodiment further provides a fire fighting alarm processing device based on the intelligent AI voice interaction algorithm, which is used for implementing the above embodiments and preferred embodiments, and the description of the device is omitted. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for 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.
The fire fighting alarm processing equipment based on the intelligent AI voice interaction algorithm can execute the fire fighting alarm processing method based on the intelligent AI voice interaction algorithm in the embodiment of the application based on the obtained fire fighting alarm based on the intelligent AI voice interaction algorithm, thereby realizing the fire fighting alarm processing method based on the intelligent AI voice interaction algorithm described in combination with the figure 1.
Compared with the prior art, the method has the following advantages:
1. according to the method, the fire safety early warning signals are automatically analyzed and processed by using the computer intelligent algorithm, and the AI voice algorithm is used for voice communication with the preset fire safety responsible personnel, so that whether misjudgment occurs in fire early warning is judged, and the waste of human resources is avoided.
2. According to the method, the computer system is used for controlling the recognition system, the traditional manual monitoring is replaced, and the labor cost and the economic cost are saved.
3. The method and the system are user-oriented in a packaging system mode, have the characteristics of simplicity and easiness in operation, and are low in learning cost.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (6)
1. A fire fighting alarm handling method based on an intelligent AI voice interaction algorithm is characterized by comprising the following steps:
receiving an early warning signal sent by a fire-fighting early warning system;
dialing a voice message to a preset inspection person to inform the early warning signal, wherein the preset inspection person is a preset inspection person;
communicating with the inspection personnel through an intelligent AI voice interaction algorithm and returning the communication content record;
capturing keywords of the alternating content record according to the alternating content record, judging whether the early warning signal is a false alarm or not, if so, dialing a voice message to a preset inspection staff to inform that the early warning signal is the false alarm, and simultaneously backing up related voice files; if not, a preset fire fighting process is started, and the early warning signal is pushed to a preset responsible person and rescue personnel in a voice mode.
2. A fire-fighting alarm-handling method based on intelligent AI voice interaction algorithm as claimed in claim 1, wherein dialing a voice message to a preset patrol inspector to notify the early warning signal comprises:
preprocessing the early warning signal, wherein the preprocessing comprises analyzing the early warning signal to obtain preset warning information, and the preset warning information comprises abnormal point position information and a preset abnormal type;
performing voice conversion processing on the pre-processed early warning signal, wherein the voice conversion processing comprises converting the preset warning information into audio information;
and sending the audio information to the preset inspection personnel by dialing a voice message.
3. A fire-fighting alarm handling method based on intelligent AI voice interaction algorithm according to claim 1, characterized in that the intelligent AI voice interaction algorithm comprises a linear prediction cepstrum coefficient algorithm and a Mel cepstrum coefficient algorithm.
4. The fire-fighting alarm handling method based on the intelligent AI voice interaction algorithm as claimed in claim 1, wherein the capturing the keywords of the communication content record according to the communication content record and determining whether the pre-warning signal is a false alarm comprises:
receiving the communication content, and extracting keywords from the communication content, wherein the keyword extraction comprises the steps of textualizing the communication content, and extracting preset keywords from the text of the communication content through a TextRank, LDA, TPR or TextRank keyword extraction algorithm, wherein the preset keywords are preset keywords capable of being used for determining alarm information;
comparing the extracted keywords with a preset keyword list, if the coincidence degree of the keywords and the preset keyword list is smaller than a preset proportion, judging that the early warning signal is false alarm, and simultaneously backing up a related voice file, and if the coincidence degree of the keywords and the preset keyword list is larger than or equal to the preset proportion, starting the preset fire fighting flow, and pushing the early warning signal to a preset responsible person and a rescue worker in a voice mode.
5. A fire-fighting alarm handling method based on an intelligent AI voice interaction algorithm as claimed in claim 4, wherein the communication text comprises:
and performing voice recognition on the communication content, storing the recognized communication content in a json string mode, extracting voice information, and outputting the voice information as a text file in a character string mode.
6. The utility model provides a fire control device of handling police based on intelligent AI voice interaction algorithm which characterized in that includes:
the receiving module is used for receiving an early warning signal sent by the fire-fighting early warning system;
the voice output module is used for dialing a voice message notification early warning signal to preset inspection personnel;
the voice communication module is used for communicating with the inspection personnel through an intelligent AI voice interaction algorithm and returning the communication content record;
the judging module is used for capturing keywords of the communication content record according to the communication content record and judging whether the early warning signal is misinformation or not;
and the alarm processing module is used for pushing the early warning signal to a preset responsible person and rescue personnel in a voice mode under the condition of judging that the early warning signal is not misinformed.
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|---|---|---|---|---|
| CN115311826A (en) * | 2022-07-28 | 2022-11-08 | 广东电力信息科技有限公司 | Voice platform electric disaster early warning method based on intelligent recognition |
| CN115311826B (en) * | 2022-07-28 | 2023-09-22 | 广东电力信息科技有限公司 | Speech platform power disaster early warning method based on intelligent recognition |
| CN117238294A (en) * | 2023-11-13 | 2023-12-15 | 成都大成均图科技有限公司 | Automatic local fire control voice recognition method and device based on artificial intelligence |
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