CN111081224A - Data acquisition method and device for petroleum safety event - Google Patents
Data acquisition method and device for petroleum safety event Download PDFInfo
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Abstract
The invention discloses a data acquisition method and a device facing to petroleum safety events, wherein the method comprises the steps of detecting voice acquisition operation triggered by a certain user aiming at a certain petroleum safety event, and starting a voice acquisition function of a data analysis system according to the voice acquisition operation; the voice data output by a certain user is collected based on the voice collection function, and the voice data is converted into text data based on a predetermined text conversion algorithm, so that the data analysis system can analyze the safety condition of a certain petroleum safety event. Therefore, the voice data input by the user is intelligently acquired, the user does not need to manually input text data, and the data acquisition efficiency of the petroleum safety event is improved; and the voice data is automatically converted into text data for the data analysis system to analyze the safety condition of the petroleum safety event, so that the data analysis efficiency can be improved, the safety control of the petrochemical engineering operation field is facilitated to be enhanced, and the occurrence condition of petroleum dangerous accidents is reduced.
Description
Technical Field
The invention relates to the technical field of petroleum safety control, in particular to a data acquisition method and device for petroleum safety events.
Background
The petrochemical industry is a high-risk industry with the characteristics of high temperature and high pressure, flammability, explosiveness, toxicity, harmfulness, continuous operation and the like. Once a major accident occurs, it often causes serious harm to the society and environment, such as: influence social public security and the like. The method is characterized in that the acquisition of the safety event data of the petroleum site is one of important links, and the analysis efficiency of the subsequent safety event data is related. At present, the acquisition mode of the safety event data of the petroleum site is manually and manually inputting text data, even structured field data. Practice shows that the workload of safety event data in a petroleum field is very large, and the acquisition mode of manually inputting data has the problems of low acquisition efficiency and the like, so that the analysis efficiency of subsequent safety event data is not facilitated, and the safety control of the petrochemical engineering operation field is further influenced. Therefore, it is important to provide a scheme for intelligently acquiring the safety event data of the petroleum site to improve the data acquisition efficiency, so as to enhance the safety control of the petrochemical engineering operation site.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method and a device for acquiring data facing to a petroleum safety event, which can intelligently acquire the safety event data of a petroleum field in a voice recognition mode so as to improve the data acquisition efficiency and further enhance the safety control of the petrochemical engineering operation field.
In order to solve the technical problem, in a first aspect, an embodiment of the present invention discloses a method and an apparatus for acquiring data for a petroleum safety event, where the method is applied to a data analysis system, and the method includes:
detecting voice acquisition operation triggered by a certain user aiming at a certain petroleum safety event, and starting a voice acquisition function of the data analysis system according to the voice acquisition operation;
and acquiring voice data output by the certain user based on the voice acquisition function, and converting the voice data into text data based on a predetermined text conversion algorithm.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the converting the voice data into text data based on a predetermined text conversion algorithm, the method further includes:
analyzing the text data based on a pre-established language analysis model, and obtaining text characteristic information corresponding to the text data;
and comparing the text characteristic information with characteristic text information in a stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event, wherein the analysis result comprises an event type corresponding to the certain petroleum safety event and/or an event confidence corresponding to the certain petroleum safety event.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after analyzing the text data based on the pre-established language analysis model to obtain text feature information corresponding to the certain petroleum safety event, and before comparing the text feature information with feature text information in a stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event, the method further includes:
judging whether the text characteristic information is complete or not;
when the text characteristic information is judged to be incomplete, determining first characteristic information needing to be supplemented, and outputting an information supplement prompt to the certain user, wherein the information supplement prompt comprises the first characteristic information and is used for prompting the certain user to supplement related content of the first characteristic information;
and when the text characteristic information is judged to be complete, triggering and executing the operation of comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after determining that the text characteristic information is complete, before the triggering and executing the operation of analyzing the text characteristic information to obtain an analysis result corresponding to the certain petroleum safety event, the method further includes:
judging whether the text characteristic information is completely accurate, and triggering and executing the operation of analyzing the text characteristic information to obtain an analysis result corresponding to the certain petroleum safety event when the text characteristic information is judged to be completely accurate;
when the text characteristic information is judged to be not completely accurate, second characteristic information needing to be corrected is determined, and an information correction prompt is output to the certain user, wherein the information correction prompt comprises the second characteristic information, and the information correction prompt is used for prompting the certain user to correct the second characteristic information.
As an optional implementation manner, in the first aspect of the embodiments of the present invention, after the detecting a voice collection operation triggered by a certain user for a certain petroleum safety event and before the starting a voice collection function of the data analysis system according to the voice collection operation, the method further includes:
collecting user parameters of the certain user, and judging whether the certain user is an authorized user according to the user parameters, wherein the authorized user is a user which can be identified by the data analysis system;
and when the certain user is judged to be the authorized user, triggering and executing the operation of starting the voice acquisition function of the data analysis system according to the voice acquisition operation.
The second aspect of the embodiment of the invention discloses a data acquisition device for petroleum safety events, which is applied to a data analysis system and comprises a detection module, a starting module, an acquisition module and a conversion module, wherein:
the detection module is used for detecting voice acquisition operation triggered by a certain user aiming at a certain petroleum safety event;
the starting module is used for starting a voice acquisition function of the data analysis system according to the voice acquisition operation;
the acquisition module is used for acquiring voice data output by a certain user based on the voice acquisition function;
and the conversion module is used for converting the voice data into text data based on a predetermined text conversion algorithm by a user.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes an analysis module, wherein:
the analysis module is used for analyzing the text data based on a pre-established language analysis model after the conversion module converts the voice data into the text data based on a pre-determined text conversion algorithm, and obtaining text characteristic information corresponding to the text data;
the analysis module is further configured to compare the text feature information with feature text information in a stored oil security database to obtain an analysis result corresponding to the certain oil security event, where the analysis result includes an event type corresponding to the certain oil security event and/or an event confidence corresponding to the certain oil security event.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the apparatus further includes a first determining module, a determining module, and an output module, where:
the first judging module is used for judging whether the text characteristic information is complete or not after the text data is analyzed by the analyzing module based on a pre-established language analysis model to obtain the text characteristic information corresponding to the certain petroleum safety event and before the text characteristic information is compared with the characteristic text information in the stored petroleum safety database by the analyzing module to obtain the analysis result corresponding to the certain petroleum safety event; when the text characteristic information is judged to be complete, triggering the analysis module to execute the operation of comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to a certain petroleum safety event;
the determining module is used for determining first feature information needing to be supplemented when the first judging module judges that the text feature information is incomplete;
the output module is configured to output an information supplement prompt to the certain user, where the information supplement prompt includes the first feature information, and the information supplement prompt is used to prompt the certain user to supplement related content of the first feature information.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the first determining module is further configured to determine whether the text feature information is completely accurate after determining that the text feature information is complete, and before triggering the analyzing module to perform the operation of comparing the text feature information with feature text information in a stored oil security database to obtain an analysis result corresponding to the certain oil security event, and when determining that the text feature information is completely accurate, trigger the operation of analyzing the text feature information to obtain the analysis result corresponding to the certain oil security event;
the determining module is further configured to determine second feature information that needs to be corrected when the first determining module determines that the text feature information is not completely accurate;
the output module is further configured to output an information correction prompt to the certain user, where the information correction prompt includes the second feature information, and the information correction prompt is used to prompt the certain user to correct the second feature information.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the apparatus further includes a second determining module, where:
the acquisition module is further used for acquiring user parameters of a certain user after the detection module detects voice acquisition operation triggered by the certain user aiming at a certain petroleum safety event and before the starting module starts a voice acquisition function of the data analysis system according to the voice acquisition operation;
the second judging module is configured to detect whether the certain user is an authorized user according to the user parameter, where the authorized user is a user that can be identified by the data analysis system;
the starting module is specifically configured to:
when the second judging module judges that the certain user is the authorized user, the voice acquisition function of the data analysis system is started according to the voice acquisition operation
The invention discloses a data acquisition device facing to petroleum safety events in a third aspect, which comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the method and the device for acquiring the data facing the petroleum safety event disclosed by the first aspect of the invention.
The fourth aspect of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer storage medium is used for executing the data acquisition method and device facing the petroleum safety event, which are disclosed by the first aspect of the invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the present invention, the first and second substrates,
the method comprises the steps of detecting voice acquisition operation triggered by a certain user aiming at a certain petroleum safety event, and starting a voice acquisition function of a data analysis system according to the voice acquisition operation; the voice data output by a certain user is collected based on the voice collection function, and the voice data is converted into text data based on a predetermined text conversion algorithm, so that the data analysis system can analyze the safety condition of a certain petroleum safety event. Therefore, by intelligently acquiring voice data input by a user, the embodiment of the invention does not need the user to manually input text data, improves the data acquisition efficiency of petroleum safety events, and particularly can greatly reduce the workload of the user when the data volume is large, thereby reducing the occurrence of the condition that the manual input is easy to make mistakes due to the fact that the workload is too large and the user is easy to fatigue; and the voice data is automatically converted into text data for the data analysis system to analyze the safety condition of the petroleum safety event, so that the data analysis efficiency can be improved, the safety control of the petrochemical engineering operation field is facilitated to be enhanced, and the occurrence condition of petroleum dangerous accidents is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a data acquisition method for petroleum safety events according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another method for acquiring data of petroleum safety events according to the embodiment of the invention;
FIG. 3 is a schematic structural diagram of a data acquisition device for petroleum safety events according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of another data acquisition device for petroleum safety events, which is disclosed by the embodiment of the invention;
fig. 5 is a schematic structural diagram of another data acquisition device for petroleum safety events, which is disclosed by the embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
Reference herein 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 invention. 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. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a data acquisition method and a data acquisition device facing to petroleum safety events, which can intelligently acquire voice data input by a user without manually inputting text data by the user, improve the data acquisition efficiency of the petroleum safety events, and particularly greatly reduce the workload of the user when the data volume is more, thereby reducing the occurrence of the condition that the manual input is easy to make mistakes due to the fact that the workload is too large and the user is easy to fatigue; and the voice data is automatically converted into text data for the data analysis system to analyze the safety condition of the petroleum safety event, so that the data analysis efficiency can be improved, the safety control of the petrochemical engineering operation field is facilitated to be enhanced, and the occurrence condition of petroleum dangerous accidents is reduced. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method and an apparatus for acquiring data of a petroleum safety event according to an embodiment of the present invention. The method and the device for acquiring data for petroleum safety events described in fig. 1 can be applied to a data analysis system (also called an accident event reporting system), wherein the data analysis system has intelligent functions of data acquisition, reporting, analysis and the like, and the embodiment of the invention is not limited. As shown in fig. 1, the method and apparatus for acquiring data facing to petroleum safety event may include the following operations:
101. and detecting voice collection operation triggered by a certain user aiming at a certain petroleum safety event.
In the embodiment of the present invention, a certain user is an authorized user of the data analysis system, that is, the data analysis system receives only data input by a user authorized to use the data analysis system.
In an embodiment of the present invention, the petroleum safety event may also be referred to as a petroleum safety accident event.
In the embodiment of the present invention, the voice collecting operation may be triggered by a certain user through a voice key (physical key or virtual key) corresponding to the data analysis system; the voice operation icon may be triggered by a voice operation icon output by a display screen | of the data analysis system (display interface), or may be triggered by a voice input by a user to the data analysis system through a sound pickup device on the data analysis system and having a preset closing keyword (for example, filling an accident event), or may be triggered by a user making a preset gesture and/or a preset gesture (for example, W, etc.), which is not limited in the embodiment of the present invention. Therefore, the triggering mode of the voice acquisition operation of the petroleum safety events can be enriched by providing the triggering mode of the voice acquisition operation of various petroleum safety events, the triggering flexibility of the voice acquisition operation of the petroleum safety events is improved, the triggering success probability of the voice acquisition operation of the petroleum safety events is improved, and the possibility of the voice acquisition operation of the petroleum safety events is improved.
In an alternative embodiment, after the step 101 is performed, the method and apparatus for acquiring data facing to petroleum safety event may further include the following operations:
outputting to a user an indication of a collection of voice data for a petroleum safety event, which may include, but is not limited to, an indication of speech rate, a location of a face of the user facing a voice collection device of the data analysis system, a suitable distance from the data analysis system, such as: 0.2m, the collection instruction is used for instructing a certain user to output voice data according to the content contained in the collection instruction.
As can be seen, this alternative embodiment can improve the probability of successfully acquiring voice data by outputting an acquisition instruction of voice data for a petroleum safety event to a user, thereby facilitating improvement of the analysis efficiency of voice data.
102. And starting a voice acquisition function of the data analysis system according to the voice acquisition operation.
In the embodiment of the invention, the data analysis system is provided with a voice acquisition device (pickup device) which is specially used for acquiring the voice data corresponding to the petroleum safety event, and the voice acquisition device is started only when the voice acquisition operation is detected to acquire the voice data input by a certain user. Further, after the voice acquisition device specially used for acquiring the voice data corresponding to the petroleum safety event is started, other voice acquisition devices of the data analysis system are in a closed state.
103. The voice data output by a certain user is collected based on the voice collection function, and the voice data is converted into text data based on a predetermined text conversion algorithm, so that the data analysis system can analyze the safety condition of a certain petroleum safety event.
In another alternative embodiment, after step 103 is executed, the method and apparatus for acquiring data facing to petroleum safety event may further include the following operations:
analyzing text data based on a pre-established language analysis model, and obtaining text characteristic information corresponding to the text data;
and comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to a certain petroleum safety event.
In this alternative embodiment, the analysis result may include an event type corresponding to a certain petroleum safety event and/or an event confidence corresponding to a certain petroleum safety event.
In this alternative embodiment, the event type may include, but is not limited to, at least one of an exploration and production type (e.g., oil and gas production type, etc.), an oil and chemical industry type (e.g., oil and gas production type, etc.), an engineering service type (e.g., physical and chemical exploration type, etc.), an engineering construction type (e.g., oil field construction engineering, etc.), an equipment manufacturing type (e.g., equipment manufacturing or repair type, etc.), a production service type (e.g., transportation type, etc.), a mine service type (e.g., medical health, etc.), a community service type (e.g., news publication type, etc.), a research and design type (e.g., research type, etc.), a finance type, an international business type, and an institution and affiliation type (e.g., institution function type, etc. Further, the analysis result may further include at least one of an event reason (e.g., a staff monitoring reason, a device manufacturing reason, etc.), an event principal, and a processing strategy. Therefore, the more contents included in the analysis result is, the better the situation of the petroleum safety event can be known clearly, if the adverse situation occurs, the occurrence situation of the adverse situation can be determined quickly, and a corresponding strategy is adopted, so that the occurrence situation of the accident is reduced.
In this alternative embodiment, further, the text feature information and the analysis result are displayed on a display interface of the data analysis system. Therefore, the user can visually know the text characteristic information and the analysis result of the petroleum safety event conveniently.
In this alternative embodiment, the creation of the linguistic analysis model is divided into two phases, as follows:
an event category training stage: acquiring sample text data of M petroleum safety events, wherein each petroleum safety event corresponds to N sample text data, and respectively inputting the N sample text data of each petroleum safety event into a first language model for training to obtain an event type corresponding to each petroleum safety event;
an event feature extraction training stage: extracting text features corresponding to the N sample text data of each petroleum safety event, associating the text features with event types corresponding to the text features to obtain association information, and training the text features and the association information of the text features and the event types corresponding to the text features based on a second language model to obtain the pre-established language analysis model.
In this alternative embodiment, the first language model may include a model such as lda (patent digital learning allocation) topic model, and the second language model may include a model such as gbdt (gradient boosting decision tree) feature extraction model and/or LSTM Long-Short memory network (Long Short Term memory network) model.
Thus, by dividing the creation of the language analysis model into two stages, namely an event type training stage and an event feature extraction training stage, the petroleum safety events can be classified into corresponding event types through the event type training stage, for example: exploration and production, fuel oil and chemical industry, engineering technical service and the like, which is beneficial to reducing the data amount training range of subsequent text characteristics and improving the text characteristic training efficiency corresponding to the subsequent event type; the associated information of the training text features and the event types corresponding to the training text features in the training stage can be extracted through the event features, the training efficiency and the training accuracy can be improved, and the high-accuracy language analysis model can be obtained.
Therefore, the language analysis model is created in advance, so that the subsequent direct use of the language analysis model for extracting the text characteristic information corresponding to the petroleum safety event is facilitated, and the accuracy and the efficiency of extracting the text characteristic information are improved.
Therefore, after the text data corresponding to the petroleum safety event is obtained, the optional embodiment further analyzes the text data to obtain an analysis result for the petroleum safety event, so that a user can know details of the petroleum safety event clearly, for example: the equipment leaks oil, a person in charge and the like, and is also beneficial to disclosing the internal law of the occurrence of the event, the defect information of the risk barrier and the reason of the occurrence of the accident, thereby being beneficial to preventing the occurrence of the major accident.
In yet another optional embodiment, after analyzing the text data based on the pre-established linguistic analysis model to obtain text characteristic information corresponding to a certain petroleum safety event, and before comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event, the method and the device for acquiring data facing the petroleum safety event may further include the following operations:
judging whether the text characteristic information is complete;
when the text characteristic information is judged to be incomplete, determining first characteristic information needing to be supplemented, and outputting an information supplement prompt to a certain user, wherein the information supplement prompt comprises the first characteristic information and is used for prompting the certain user to supplement related content of the first characteristic information;
and when the text characteristic information is judged to be complete, triggering and executing the operation of comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to a certain petroleum safety event.
In this alternative embodiment, the first characteristic information includes, but is not limited to, at least one of event/accident type, related personnel, production job link, time of occurrence, high risk job, barrier type, cause factor, management factor, event/accident location, and equipment type.
In this alternative embodiment, the display interface of the data analysis system is divided into a plurality of display areas, for example: the system comprises an event/accident type display area, a related personnel display area, a production operation link display area, an occurrence time display area, a high-risk operation display area, a barrier type display area, a reason factor display area, a management factor display area, an event/accident site display area, an equipment type display area and the like, wherein each display area is provided with corresponding text characteristic information. Further, whether the text feature information is complete is judged, specifically: judging whether the information type corresponding to the text characteristic information completely contains the information type corresponding to the pre-stored text characteristic information, for example: event/accident type, related personnel type, production operation link type, occurrence time type, high risk operation type, barrier type, cause factor type, management factor type, event/accident site type, equipment type and the like. And when the information type corresponding to the pre-stored text characteristic information is judged to be unsafe, determining that the text characteristic information is incomplete.
In this optional embodiment, an information supplement prompt is output to a certain user, specifically: outputting an information supplement prompt to a certain user based on a first output device of the data analysis system; and/or sending an information supplement prompt to a mobile terminal of a certain user, so that the mobile terminal outputs the information supplement prompt to the certain user based on a second output device of the mobile terminal. Therefore, the data analysis system and/or the mobile terminal of the user output the information supplement prompt to the user, so that the output flexibility of the information supplement prompt can be improved, and the possibility that the user successfully knows the information supplement prompt is improved.
In the embodiment of the present invention, the first output device may include a first display output device (e.g., a display screen/display interface) and/or a first voice output device (e.g., a speaker) of the data analysis system; the second output device may include a second display output device (e.g., a display screen) and/or a second voice output device (e.g., a speaker) of the mobile terminal. That is, the output mode of the information supplement prompt may include a display output mode and/or a voice output mode. Therefore, the information supplement prompt is output to the user through the display output mode and/or the voice output mode, the output flexibility of the information supplement prompt can be further improved, and the possibility that the user successfully knows the information supplement prompt is further improved; the information supplement prompt is output in a display output mode, so that a user with hearing insensitivity can know the information supplement prompt by checking the display content (such as character content) of the display output device; and the information supplement prompt is output in a voice output mode, so that a user with poor eyesight can know the information supplement prompt by listening to the broadcast content of the voice output device.
In this optional embodiment, further, the display area corresponding to the first characteristic information is highlighted, for example: if the occurrence time is short, the display area corresponding to the occurrence time is highlighted in yellow, so that the user can know the content needing to be supplemented and the corresponding supplementing position more clearly, the user can supplement the content quickly, and the analysis efficiency of the analysis result of the petroleum safety event is reduced.
Therefore, after the text characteristic information of the petroleum safety event is obtained, whether the text characteristic information is complete or not is further judged, the completeness of the text characteristic information can be intelligently evaluated, if the text characteristic information is incomplete, an information supplement prompt is automatically output to a user to prompt the user to supplement missing content, the missing content can be perfected, and therefore the analysis accuracy and reliability of the analysis result of the petroleum safety event can be improved, and the intelligent function of a data analysis system is enriched.
In yet another optional embodiment, after the text feature information is judged to be complete, and before the executed operation of analyzing the text feature information to obtain an analysis result corresponding to a certain petroleum safety event is triggered, the method and the device for acquiring data facing the petroleum safety event may further include the following operations:
judging whether the text characteristic information is completely accurate, and triggering and executing the operation of analyzing the text characteristic information to obtain an analysis result corresponding to a certain petroleum safety event when the text characteristic information is judged to be completely accurate;
and when the text characteristic information is judged to be not completely accurate, determining second characteristic information needing to be corrected, and outputting an information correction prompt to a certain user, wherein the information correction prompt comprises the second characteristic information and is used for prompting the certain user to correct the second characteristic information.
In this alternative embodiment, please refer to the above description related to the first feature information for describing the second feature information, which is not described herein again.
In this optional embodiment, it is determined whether the text feature information is completely accurate, specifically: judging whether the information type corresponding to the text characteristic information completely corresponds to the information type corresponding to the pre-stored text characteristic information; and when judging that the information type corresponding to the pre-stored text characteristic information does not completely correspond to the pre-stored text characteristic information, determining that the text characteristic information is not completely accurate. For example: regarding the related person, the stored text feature information is the name of the related person, for example: and opening the aspiration, if the analyzed text characteristic information is short or has no surname, for example: and if the text is small, the text characteristic information is not completely accurate.
In this optional embodiment, for the description of the output mode of the information correction prompt, please refer to the above detailed description of the information supplement prompt, which is not described herein again.
Therefore, after the text characteristic information is judged to be complete, the optional embodiment further intelligently judges whether the text characteristic information is completely correct, if the text characteristic information has errors, an information correction prompt is automatically output to a user to prompt the user to correct the wrong text characteristic information, intelligent error correction can be achieved, the occurrence of errors of analysis results of petroleum safety events caused by information errors can be reduced, the analysis accuracy and the reliability of the analysis results of the petroleum safety events are further improved, and the intelligent function of a data analysis system is further enhanced.
In yet another optional embodiment, after analyzing the text data based on the pre-established linguistic analysis model to obtain text characteristic information corresponding to a certain petroleum safety event, and before comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event, the method and the device for acquiring data facing the petroleum safety event may further include the following operations:
judging whether the text characteristic information is completely accurate, and triggering and executing the operation of analyzing the text characteristic information to obtain an analysis result corresponding to a certain petroleum safety event when the text characteristic information is judged to be completely accurate;
when the text characteristic information is judged to be not completely accurate, determining target characteristic information needing to be corrected, and outputting a target information correction prompt to a certain user, wherein the target information correction prompt comprises the target characteristic information and is used for prompting the certain user to correct the target characteristic information.
Therefore, after the text characteristic information corresponding to the petroleum safety event is obtained, whether the text characteristic information is completely correct or not is further intelligently judged, if not, an information correction prompt is automatically output to a user, and the text characteristic information corresponding to the petroleum safety event can be intelligently corrected.
Therefore, by implementing the method and the device for acquiring data facing to the petroleum safety event, which are described in the figure 1, voice data input by a user can be intelligently acquired, the user does not need to manually input text data, the acquisition efficiency of the data of the petroleum safety event is improved, and especially when the data volume is large, the workload of the user can be greatly reduced, so that the situation that the manual input is easy to make mistakes due to the fact that the workload is too large and the user is easy to fatigue is reduced; and the voice data is automatically converted into text data for the data analysis system to analyze the safety condition of the petroleum safety event, so that the data analysis efficiency can be improved, the safety control of the petrochemical engineering operation field is facilitated to be enhanced, and the occurrence condition of petroleum dangerous accidents is reduced.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of another method and apparatus for acquiring data of petroleum safety events according to the embodiment of the present invention. The method and the device for acquiring data for petroleum safety events described in fig. 2 can be applied to a data analysis system (also called an accident event reporting system), wherein the data analysis system has intelligent functions of data acquisition, reporting, analysis and the like, and the embodiment of the invention is not limited. As shown in fig. 2, the method and apparatus for acquiring data facing to a petroleum safety event may include the following operations:
201. and detecting voice collection operation triggered by a certain user aiming at a certain petroleum safety event.
202. And collecting user parameters of a certain user, and judging whether the certain user is an authorized user according to the user parameters. When a certain user is judged to be an authorized user, triggering and executing the step 203; when a certain user is judged not to be an authorized user, the process is directly ended.
It should be noted that step 201 and step 202 may occur simultaneously.
In the embodiment of the invention, the authorized user is a user which can be identified by the data analysis system.
In the embodiment of the invention, the data analysis system stores the authorization information of the authorized user in advance, wherein the authorization information can comprise at least one of face image parameters, fingerprint parameters, iris parameters and voiceprint parameters of the authorized user.
Therefore, after the user is detected to trigger the voice acquisition operation aiming at the petroleum safety event, whether the user is an authorized user or not is further judged according to the parameter analysis of the user, if the user is the authorized user, the subsequent operation is continuously executed, the situation that the analysis result of the wrong petroleum safety event is obtained due to the fact that the unauthorized user inputs data to the data analysis system can be reduced or even avoided, and the behavior of the user can be favorably monitored.
203. And starting a voice acquisition function of the data analysis system according to the voice acquisition operation.
204. The voice data output by a certain user is collected based on the voice collection function, and the voice data is converted into text data based on a predetermined text conversion algorithm, so that the data analysis system can analyze the safety condition of a certain petroleum safety event.
In the embodiment of the present invention, for the related descriptions of step 201, step 203, and step 204, refer to the detailed descriptions of step 101 to step 103 in the first embodiment, which are not described again in the embodiment of the present invention.
It can be seen that the data acquisition device for the petroleum safety event depicted in fig. 2 can intelligently acquire the voice data input by the user, and does not need the user to manually input text data, so as to improve the data acquisition efficiency of the petroleum safety event, and especially when the data volume is large, the workload of the user can be greatly reduced, thereby reducing the occurrence of the condition that the manual input is easy to make mistakes due to the fact that the workload is too large and the user is easy to fatigue; and the voice data is automatically converted into text data for the data analysis system to analyze the safety condition of the petroleum safety event, so that the data analysis efficiency can be improved, the safety control of the petrochemical engineering operation field is facilitated to be enhanced, and the occurrence condition of petroleum dangerous accidents is reduced. In addition, the situation that the analysis result of the wrong petroleum safety event is obtained due to the fact that an unauthorized user inputs data to the data analysis system can be reduced or even avoided, and the behavior of the user can be favorably supervised.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a data acquisition device for petroleum safety events according to an embodiment of the present invention. The data acquisition device for the petroleum safety event depicted in fig. 3 may be applied to a data analysis system (also called an accident event reporting system), where the data analysis system has intelligent functions of data acquisition, reporting, analysis, and the like, and the embodiment of the present invention is not limited thereto. As shown in fig. 3, the data collection device for petroleum safety event may include a detection module 301, an activation module 302, a collection module 303, and a conversion module 304, wherein:
the detection module 301 is configured to detect a voice collection operation triggered by a certain user for a certain petroleum safety event.
The starting module 302 is configured to start a voice collecting function of the data analysis system according to the voice collecting operation.
And the acquisition module 303 acquires voice data output by a certain user based on the voice acquisition function.
And a conversion module 304, which is used for converting the voice data into text data based on a predetermined text conversion algorithm by the user for data analysis, wherein the text data is the safety condition of a certain petroleum safety event.
It can be seen that the data acquisition device for the petroleum safety event depicted in fig. 3 can intelligently acquire the voice data input by the user, and does not need the user to manually input text data, so as to improve the data acquisition efficiency of the petroleum safety event, and especially when the data volume is large, the workload of the user can be greatly reduced, thereby reducing the occurrence of the condition that the manual input is easy to make mistakes due to the fact that the workload is too large and the user is easy to fatigue; and the voice data is automatically converted into text data for the data analysis system to analyze the safety condition of the petroleum safety event, so that the data analysis efficiency can be improved, the safety control of the petrochemical engineering operation field is facilitated to be enhanced, and the occurrence condition of petroleum dangerous accidents is reduced.
In an alternative embodiment, based on the schematic structural diagram of the data acquisition device for petroleum safety event depicted in fig. 3, the data acquisition device for petroleum safety event may further include an analysis module 305, in this case, the data acquisition device for petroleum safety event may be as shown in fig. 4, and fig. 4 is a schematic structural diagram of another data acquisition device for petroleum safety event, where:
and the analysis module 305 is configured to, after the conversion module 304 converts the voice data into text data based on a predetermined text conversion algorithm, so that the data analysis system analyzes the safety condition of a certain petroleum safety event, analyze the text data based on a pre-established language analysis model, and obtain text characteristic information corresponding to the text data.
The analysis module 305 is further configured to compare the text feature information with feature text information in a stored oil security database to obtain an analysis result corresponding to a certain oil security event, where the analysis result includes an event type corresponding to the certain oil security event and/or an event confidence corresponding to the certain oil security event.
It can be seen that, by implementing the data acquisition device for the petroleum safety event described in fig. 4, after obtaining the text data corresponding to the petroleum safety event, further analyzing the text data, and obtaining the analysis result for the petroleum safety event, the user can know the details of the petroleum safety event clearly, for example: the equipment leaks oil, a person in charge and the like, and is also beneficial to disclosing the internal law of the occurrence of the event, the defect information of the risk barrier and the reason of the occurrence of the accident, thereby being beneficial to preventing the occurrence of the major accident.
In another alternative embodiment, as shown in fig. 4, the data collecting apparatus for petroleum safety event may further include a first determining module 306, a determining module 307 and an output module 308, wherein:
a first judging module 306, configured to judge whether text feature information is complete after the analyzing module 305 analyzes the text data based on a pre-established language analysis model to obtain text feature information corresponding to a certain petroleum safety event, and before the analyzing module 305 compares the text feature information with feature text information in a stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event; when the text feature information is judged to be complete, the analysis module 305 is triggered to execute the operation of comparing the text feature information with the feature text information in the stored oil security database to obtain an analysis result corresponding to a certain oil security event.
The determining module 307 is configured to determine the first feature information that needs to be supplemented when the first determining module 306 determines that the text feature information is incomplete.
The output module 308 is configured to output an information supplement prompt to a certain user, where the information supplement prompt includes the first feature information, and the information supplement prompt is used to prompt the certain user to supplement the relevant content of the first feature information.
It can be seen that, by implementing the data acquisition device for the petroleum safety event described in fig. 4, it is further possible to determine whether the text feature information is complete after the text feature information of the petroleum safety event is obtained, and it is possible to intelligently evaluate the integrity of the text feature information, and if not, automatically output an information supplement prompt to a user to prompt the user to supplement missing content, and it is possible to improve the missing content, thereby facilitating improvement of the analysis accuracy and reliability of the analysis result of the petroleum safety event, and enriching the intelligent function of the data analysis system.
In yet another alternative embodiment, as shown in fig. 4, the first determining module 306 is further configured to determine whether the text feature information is completely accurate after determining that the text feature information is complete and before triggering the analyzing module 305 to perform the operation of comparing the text feature information with the feature text information in the stored oil security database to obtain an analysis result corresponding to a certain oil security event, and when determining that the text feature information is completely accurate, triggering to perform the operation of analyzing the text feature information to obtain an analysis result corresponding to a certain oil security event;
the determining module 307 is further configured to determine second feature information that needs to be corrected when the first determining module 306 determines that the text feature information is not completely accurate.
The output module 308 is further configured to output an information correction prompt to a certain user, where the information correction prompt includes the second feature information, and the information correction prompt is used to prompt the certain user to correct the second feature information.
It can be seen that, by implementing the data acquisition device for the petroleum safety event described in fig. 4, it can further intelligently determine whether the text feature information is completely correct after determining that the text feature information is complete, and if there is wrong text feature information, automatically output an information correction prompt to a user to prompt the user to correct the wrong text feature information, so that intelligent error correction can be performed, the occurrence of errors in the analysis result of the petroleum safety event due to information errors can be reduced, and the intelligent function of the data analysis system is further enhanced.
In yet another alternative embodiment, as shown in fig. 4, the data collection device for petroleum safety-oriented events may further include a second determination module 309, wherein:
the acquisition module 303 is further configured to acquire a user parameter of a certain user after the detection module 301 detects a voice acquisition operation triggered by the certain user for a certain petroleum safety event and before the start module 302 starts a voice acquisition function of the data analysis system according to the voice acquisition operation.
A second determining module 309, configured to detect whether a certain user is an authorized user according to the user parameter, where the authorized user is a user that can be identified by the data analysis system.
The starting module 302 is specifically configured to:
when the second determination module 309 determines that a certain user is an authorized user, the voice acquisition function of the data analysis system is started according to the voice acquisition operation.
It can be seen that, by implementing the data acquisition device for the petroleum safety event described in fig. 4, it can be further determined whether the user is an authorized user according to the parameter analysis of the user after detecting that the user triggers the voice acquisition operation for the petroleum safety time event, and if the user is an authorized user, the subsequent operation is continuously executed, so that the occurrence of the situation that an unauthorized user inputs data to the data analysis system to obtain an analysis result of a wrong petroleum safety event can be reduced or even avoided, and the behavior of the user can be favorably supervised.
Example four
Referring to fig. 5, fig. 5 is a schematic diagram illustrating another data acquisition device for petroleum safety events according to an embodiment of the present invention. As shown in fig. 5, the data collecting apparatus for petroleum safety event may include:
a memory 501 in which executable program code is stored;
a processor 502 coupled to a memory 501;
the processor 502 invokes executable program code stored in the memory 501 for performing the steps in the petroleum safety event oriented data collection method described in the embodiment one or the embodiment.
EXAMPLE five
The embodiment of the invention discloses a computer-readable storage medium for storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the data acquisition method for petroleum safety events described in the first embodiment or the second embodiment.
EXAMPLE six
The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, wherein the computer program is operable to make a computer execute the steps of the data acquisition method facing the petroleum safety event described in the first embodiment or the second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, wherein the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable rewritable Read-Only Memory (EEPROM), a compact disc-Read-Only Memory (CD-ROM) or other magnetic disk memories, a magnetic tape Memory, a magnetic disk, a magnetic tape Memory, a magnetic tape, and a magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.
Finally, it should be noted that: the data acquisition method and device for petroleum safety events disclosed in the embodiments of the present invention are only the preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A data acquisition method for petroleum safety events is applied to a data analysis system, and the method comprises the following steps:
detecting voice acquisition operation triggered by a certain user aiming at a certain petroleum safety event, and starting a voice acquisition function of the data analysis system according to the voice acquisition operation;
and acquiring voice data output by the certain user based on the voice acquisition function, and converting the voice data into text data based on a predetermined text conversion algorithm so that the data analysis system can analyze the safety condition of a certain petroleum safety event.
2. The method for acquiring data of petroleum safety event oriented, according to claim 1, wherein after the voice data is converted into text data based on a predetermined text conversion algorithm for the data analysis system to analyze the safety condition of a certain petroleum safety event, the method further comprises:
analyzing the text data based on a pre-established language analysis model, and obtaining text characteristic information corresponding to the text data;
and comparing the text characteristic information with characteristic text information in a stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event, wherein the analysis result comprises an event type corresponding to the certain petroleum safety event and/or an event confidence corresponding to the certain petroleum safety event.
3. The method for acquiring data of petroleum safety events according to claim 2, wherein after the text data is analyzed based on the pre-established language analysis model to obtain the text characteristic information corresponding to the certain petroleum safety event, and before the text characteristic information is compared with the characteristic text information in the stored petroleum safety database to obtain the analysis result corresponding to the certain petroleum safety event, the method further comprises:
judging whether the text characteristic information is complete or not;
when the text characteristic information is judged to be incomplete, determining first characteristic information needing to be supplemented, and outputting an information supplement prompt to the certain user, wherein the information supplement prompt comprises the first characteristic information and is used for prompting the certain user to supplement related content of the first characteristic information;
and when the text characteristic information is judged to be complete, triggering and executing the operation of comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to the certain petroleum safety event.
4. The method for acquiring data of petroleum safety events according to claim 3, wherein after the text characteristic information is judged to be complete, before the triggering execution of the operation of analyzing the text characteristic information to obtain the analysis result corresponding to the certain petroleum safety event, the method further comprises:
judging whether the text characteristic information is completely accurate, and triggering and executing the operation of analyzing the text characteristic information to obtain an analysis result corresponding to the certain petroleum safety event when the text characteristic information is judged to be completely accurate;
when the text characteristic information is judged to be not completely accurate, second characteristic information needing to be corrected is determined, and an information correction prompt is output to the certain user, wherein the information correction prompt comprises the second characteristic information, and the information correction prompt is used for prompting the certain user to correct the second characteristic information.
5. The method for acquiring petroleum-oriented safety data according to any one of claims 1 to 4, wherein after detecting a voice acquisition operation triggered by a certain user for a certain petroleum safety event and before starting a voice acquisition function of the data analysis system according to the voice acquisition operation, the method further comprises:
collecting user parameters of the certain user, and judging whether the certain user is an authorized user according to the user parameters, wherein the authorized user is a user which can be identified by the data analysis system;
and when the certain user is judged to be the authorized user, triggering and executing the operation of starting the voice acquisition function of the data analysis system according to the voice acquisition operation.
6. The data acquisition device for the petroleum safety event is applied to a data analysis system and comprises a detection module, a starting module, an acquisition module and a conversion module, wherein:
the detection module is used for detecting voice acquisition operation triggered by a certain user aiming at a certain petroleum safety event;
the starting module is used for starting a voice acquisition function of the data analysis system according to the voice acquisition operation;
the acquisition module is used for acquiring voice data output by a certain user based on the voice acquisition function;
and the conversion module is used for converting the voice data into text data based on a predetermined text conversion algorithm by a user so as to analyze the safety condition of a certain petroleum safety event by the data analysis system.
7. The petroleum safety event oriented data collection system of claim 6, wherein the device further comprises an analysis module, wherein:
the analysis module is used for analyzing the text data based on a pre-established language analysis model after the conversion module converts the voice data into the text data based on a predetermined text conversion algorithm for the data analysis system to analyze the safety condition of a certain petroleum safety event, and obtaining text characteristic information corresponding to the text data;
the analysis module is further configured to compare the text feature information with feature text information in a stored oil security database to obtain an analysis result corresponding to the certain oil security event, where the analysis result includes an event type corresponding to the certain oil security event and/or an event confidence corresponding to the certain oil security event.
8. The petroleum safety-oriented data acquisition system of claim 7, the device further comprising a first determination module, a determination module, and an output module, wherein:
the first judging module is used for judging whether the text characteristic information is complete or not after the text data is analyzed by the analyzing module based on a pre-established language analysis model to obtain the text characteristic information corresponding to the certain petroleum safety event and before the text characteristic information is compared with the characteristic text information in the stored petroleum safety database by the analyzing module to obtain the analysis result corresponding to the certain petroleum safety event; when the text characteristic information is judged to be complete, triggering the analysis module to execute the operation of comparing the text characteristic information with the characteristic text information in the stored petroleum safety database to obtain an analysis result corresponding to a certain petroleum safety event;
the determining module is used for determining first feature information needing to be supplemented when the first judging module judges that the text feature information is incomplete;
the output module is configured to output an information supplement prompt to the certain user, where the information supplement prompt includes the first feature information, and the information supplement prompt is used to prompt the certain user to supplement related content of the first feature information.
9. The system for acquiring data facing to petroleum safety events according to claim 8, wherein the first determining module is further configured to determine whether the text feature information is completely accurate after determining that the text feature information is complete and before triggering the analyzing module to perform the operation of comparing the text feature information with feature text information in a stored petroleum safety database to obtain an analysis result corresponding to a certain petroleum safety event, and when determining that the text feature information is completely accurate, trigger the operation of performing the analysis on the text feature information to obtain the analysis result corresponding to the certain petroleum safety event;
the determining module is further configured to determine second feature information that needs to be corrected when the first determining module determines that the text feature information is not completely accurate;
the output module is further configured to output an information correction prompt to the certain user, where the information correction prompt includes the second feature information, and the information correction prompt is used to prompt the certain user to correct the second feature information.
10. The system for petroleum-oriented safety event data collection according to any one of claims 6-9, wherein the device further comprises a second determination module, wherein:
the acquisition module is further used for acquiring user parameters of a certain user after the detection module detects voice acquisition operation triggered by the certain user aiming at a certain petroleum safety event and before the starting module starts a voice acquisition function of the data analysis system according to the voice acquisition operation;
the second judging module is configured to detect whether the certain user is an authorized user according to the user parameter, where the authorized user is a user that can be identified by the data analysis system;
the starting module is specifically configured to:
and when the second judging module judges that the certain user is the authorized user, starting a voice acquisition function of the data analysis system according to the voice acquisition operation.
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