CN113379185A - Engineering event authenticity judgment method and system and storage medium - Google Patents

Engineering event authenticity judgment method and system and storage medium Download PDF

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CN113379185A
CN113379185A CN202110467442.7A CN202110467442A CN113379185A CN 113379185 A CN113379185 A CN 113379185A CN 202110467442 A CN202110467442 A CN 202110467442A CN 113379185 A CN113379185 A CN 113379185A
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刘勇
植挺生
庄广壬
文青
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Guangdong Guangyu Technology Development Co Ltd
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Abstract

The invention discloses a method, a system and a storage medium for judging the authenticity of an engineering event, wherein the place, the time and the type of the engineering event to be judged are extracted from the content of the engineering event to be judged by reading in the engineering event to be judged; searching monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged; and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to the matching result. Compared with the prior art, the method and the device can accurately judge the authenticity of the engineering event by matching the content of the engineering event with the monitoring records of the sensor or other monitoring data.

Description

Engineering event authenticity judgment method and system and storage medium
Technical Field
The invention relates to the technical field of engineering event management, in particular to a method, a system and a storage medium for judging the authenticity of an engineering event.
Background
In the field of construction and maintenance of engineering, many engineering events are generated, and in order to ensure that the occurring engineering events can be traced and managed later (such as fault analysis, accident cause tracing and the like), the existing engineering management personnel can save the processes of the cause, the occurrence place, the occurrence time, the subsequent processing and the like of the occurring engineering events into a server in a text form. However, in practical situations, it often happens that engineering management personnel are concealed by carelessness or carelessness, so that the content of the uploaded engineering event is inconsistent with the reality, and the subsequent retrospective management of the engineering event is affected.
Therefore, how to guarantee the authenticity of the uploaded engineering event has become a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention provides a method, a system and a storage medium for judging the authenticity of an engineering event, which are used for solving the technical problem that the existing engineering event management system cannot judge the authenticity of an uploaded engineering event.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a method for judging authenticity of an engineering event comprises the following steps:
reading in an engineering event to be judged, and extracting the place, time and type of the engineering event to be judged from the content of the engineering event to be judged;
searching monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged;
and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to the matching result.
Preferably, the method for extracting the type of the engineering event to be judged from the content of the engineering event to be judged specifically comprises the following steps:
respectively constructing a unique corresponding keyword and sentence set for each engineering event, and constructing a first mapping table of the engineering event type and the corresponding keyword and sentence set;
matching words and sentences in the engineering event to be judged with words and sentences in the keyword and sentence set one by utilizing a dictionary matching algorithm;
if the words and sentences in the engineering event to be judged are successfully matched with the words and sentences in the keyword and sentence set, based on the successfully matched keyword and sentence set, the engineering event type corresponding to the successfully matched keyword and sentence set is searched from the first mapping table, and the searched engineering event type is used as the type of the engineering event to be judged.
Preferably, the method for extracting the category of the engineering event to be judged from the content of the engineering event to be judged comprises the following steps:
constructing a supervised machine learning model, wherein the machine learning model takes an event content text as an input quantity and takes an event occurrence category of the event content text as an output quantity;
acquiring an event content text of a known event occurrence type from historical data, labeling the event content text by using the event occurrence type corresponding to the event content text, and training a machine learning model by using the labeled event content text as a training sample to obtain a trained machine learning model;
and inputting the event content to be extracted into the machine learning model to obtain the event occurrence category of the time content to be extracted.
Preferably, the method for searching the monitoring record corresponding to the type in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged specifically comprises the following steps:
respectively constructing storage databases for different types of monitoring records, and constructing a second mapping table for engineering event types and corresponding detection databases;
and based on the searched type of the engineering event to be judged, searching monitoring records corresponding to the type, the occurrence place and the time of the engineering event to be judged from the second mapping table, and returning the monitoring records.
Preferably, the engineering event is a fault engineering event or a hidden danger engineering event, the monitoring record is matched with the content of the engineering event to be judged, and the method specifically comprises the following steps:
and judging whether the monitoring record corresponding to the engineering event has the abnormal value characteristics or not, and judging the engineering event to be real when the abnormal value characteristics exist.
Preferably, the categories of engineering events include: fire safety, personnel safety, engineering facilities; the monitoring records corresponding to the fire safety class comprise monitoring records of various fire monitoring sensors and video monitoring records, the monitoring records corresponding to the personnel safety class comprise video monitoring records, and the monitoring records corresponding to the engineering facilities comprise engineering facility monitoring management records.
A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any of the methods described above when executing the computer program.
A computer storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of any of the above methods.
The invention has the following beneficial effects:
1. the method, the system and the storage medium for judging the authenticity of the engineering event extract the place, the time and the type of the engineering event to be judged from the content of the engineering event to be judged by reading in the engineering event to be judged; searching monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged; and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to the matching result. Compared with the prior art, the method and the device can accurately judge the authenticity of the engineering event by matching the content of the engineering event with the monitoring records of the sensor or other monitoring data.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.
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The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for determining authenticity of an engineering event according to the present invention;
fig. 2 is a flow chart of an engineering event authenticity judgment method in a preferred embodiment of the invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
The first embodiment is as follows:
as shown in fig. 1, the present implementation discloses a method for determining authenticity of an engineering event, which includes the following steps:
reading in an engineering event to be judged, and extracting the place, time and type of the engineering event to be judged from the content of the engineering event to be judged;
searching monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged;
and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to the matching result.
In addition, in this embodiment, a computer system is also disclosed, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and is characterized in that the processor implements the steps of any of the above methods when executing the computer program.
Furthermore, in the present embodiment, a computer storage medium is also disclosed, on which a computer program is stored, which when executed by a processor implements the steps in any of the methods described above.
The method, the system and the storage medium for judging the authenticity of the engineering event extract the place, the time and the type of the engineering event to be judged from the content of the engineering event to be judged by reading in the engineering event to be judged; searching monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged; and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to the matching result. Compared with the prior art, the method and the device can accurately judge the authenticity of the engineering event by matching the content of the engineering event with the monitoring records of the sensor or other monitoring data.
Example two:
the second embodiment is the preferred embodiment of the first embodiment, and the difference between the first embodiment and the second embodiment is that the specific steps of the engineering event authenticity judgment method are expanded:
the embodiment discloses a method for judging authenticity of an engineering event, which is applied to an engineering event management system based on a block chain. When an event is imported into the system through an interface, the preset intelligent dating points judge whether the name and content of the imported event and information such as submitted photos and videos meet the objective condition of the event according to rules, the content is gathered and judged according to conditions including but not limited to various sensors in an event engineering site, monitoring videos in the site, web news crawlers and the like, the determined event is imported into the system or discarded, the discarded event is stored in a system database, the basis of the discarded event is recorded, and a system administrator can check and track the event.
A method for judging authenticity of an engineering event comprises the following steps:
step 1: reading a document of the engineering event, and extracting the place, time and type of the engineering event to be judged from the document of the engineering event;
the document format of the engineering event is a uniform format, and comprises a time filling segment, a place filling segment and an event content description filling segment. The method for extracting the place, the time and the type of the engineering event to be judged from the document of the engineering event comprises the following steps:
the location, time and event content of the engineering event can be extracted from the corresponding time filling segment, location filling segment and event content filling segment of the engineering event document through the regular expression by constructing the regular expression according to the uniform format, and then the type of the event occurrence can be extracted from the extracted event content.
The method for extracting the type of the event from the extracted event content comprises the following steps:
respectively constructing a unique corresponding keyword and sentence set for each engineering event, and constructing a first mapping table of the engineering event type and the corresponding keyword and sentence set;
matching words and sentences in the project event content to be judged with words and sentences in the keyword and sentence set one by utilizing a dictionary matching algorithm; if the words and sentences in the project event content to be judged are successfully matched with the words and sentences in the keyword and sentence set, based on the successfully matched keyword and sentence set, the project event type corresponding to the successfully matched keyword and sentence set is searched from the first mapping table, and the searched project event type is used as the type of the project event to be judged.
Specifically, a unique corresponding keyword sentence set is respectively constructed for each engineering event, and the method specifically comprises the following steps:
the method comprises the steps of firstly, screening and analyzing historical data, extracting high-density words and sentences of engineering events of related categories according to different categories, and listing the words and sentences into a category-mapping table. And continuously searching and mining new engineering event words and sentences of related categories and continuously updating to the category-mapping table after new engineering event data continuously exist.
Specifically, the construction of the keyword set can also be realized by the following method:
acquiring event content texts of known occurrence event types from historical data, classifying the event content texts with the same event types into one type, and extracting a prepared keyword set of the event texts of the same type by adopting a TF-IDF (term frequency-inverse document frequency) algorithm for the event texts of the same type;
and comparing the prepared keyword sets of the different types of event texts, and respectively screening out the same words as the other types of prepared keywords from the different types of prepared keywords to obtain the prepared keywords of the content texts of each type of event.
In addition, the extraction of the type of event occurrence from the extracted event content can also be realized by the following steps:
constructing a supervised machine learning model, wherein the machine learning model takes an event content text as an input quantity and takes an event occurrence category of the event content text as an output quantity;
acquiring an event content text of a known event occurrence type from historical data, labeling the event content text by using the event occurrence type corresponding to the event content text, and training a machine learning model by using the labeled event content text as a training sample to obtain a trained machine learning model;
and inputting the event content to be extracted into the machine learning model to obtain the event occurrence category of the time content to be extracted.
Step 2: searching monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged;
specifically, the method for searching the monitoring record corresponding to the type in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged specifically comprises the following steps:
respectively constructing storage databases for different types of monitoring records, and constructing a second mapping table for engineering event types and corresponding detection databases;
and based on the searched type of the engineering event to be judged, searching monitoring records corresponding to the type, the occurrence place and the time of the engineering event to be judged from the second mapping table, and returning the monitoring records.
And step 3: and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to the matching result.
Specifically, the engineering event is a fault engineering event or a hidden danger engineering event, the monitoring record is matched with the content of the engineering event to be judged, and the method specifically comprises the following steps:
and judging whether the monitoring record corresponding to the engineering event has the abnormal value characteristics or not, and judging the engineering event to be real when the abnormal value characteristics exist.
Specifically, the types of engineering events include: fire safety, personnel safety, engineering facilities; the monitoring records corresponding to the fire safety class comprise monitoring records of various fire monitoring sensors and video monitoring records, the monitoring records corresponding to the personnel safety class comprise video monitoring records, and the monitoring records corresponding to the engineering facilities comprise engineering facility monitoring management records.
In this embodiment, as shown in fig. 2, the application steps of the engineering event authenticity judgment method in the block chain-based engineering event management system are as follows:
setting judgment rules of different types of engineering events such as fire safety, personnel and engineering facilities, and setting specific judgment rules for each type of engineering event to judge whether the engineering event conforms to the actual rules. The fire safety setting rules include: fire fighting access, fire fighting equipment, and fire fighting monitoring equipment; the personnel setting rules are as follows: personnel safety equipment; the engineering facility setting rules include: engineering materials and engineering equipment.
The method comprises the steps of collecting engineering events into a system by using a pc, a mobile terminal and an interface mode, classifying and storing the engineering events in a consumption safety class, a personnel class and an engineering facility class, analyzing and judging the deployed event judgment monitoring program according to different classifications one by one according to the engineering events entering the system, and intercepting content keywords in the events to be matched with rules under different types. For example, the keywords include fire fighting access blockage, water leakage of fire hydrant, no response of smoke monitoring equipment and the like, and the judgment rule can enter the fire safety category.
The event distributed to the fire safety class for analysis and matching can automatically call the video monitoring data of the fire channel and determine whether an automatically reported channel blocking alarm record exists, if the automatically reported alarm record exists, the project event is marked to be in accordance with the reality, otherwise, the project event is not in accordance with the reality; the method comprises the steps of automatically acquiring equipment operation information reported by a sensor on the fire-fighting equipment, wherein the equipment operation information comprises pressure and water pressure values, checking whether the values are abnormal or not, marking that a project changing event is in accordance with reality if abnormal operation information exists, and otherwise, marking that the project changing event is not in accordance with reality.
The judgment items of the fire safety class comprise a fire channel blocking item and a fire facility state item, the site reported by the engineering event is judged to be compared with blocking alarm information collected by fire video monitoring of the site, and if the site video alarm has a record, the comparison is successful.
And (3) automatically calling alarm records of field video monitoring and reporting, such as alarm without a safety helmet and the like, when the events reflect that related personnel enter a construction field without a safety helmet, judging, if the field video monitoring and reporting have the alarm records without the safety helmet, marking that the engineering event is in accordance with reality, and if not, marking that the engineering event is not in accordance with reality.
The video monitoring is realized by reporting alarm records without safety helmets through the following steps:
constructing and training a classification model based on a neural network, wherein the input quantity of the classification model is a picture of a person on a construction site, the output quantity is the confidence degree that the person on the construction site wears a safety helmet and a classification result, and the classification model takes a person marked with whether the existing person wears the safety helmet as a training picture; and when the confidence coefficient is greater than a preset value, if the confidence coefficient is greater than 85%, judging that the safety helmet is worn, otherwise, judging that the safety helmet is not worn.
And inputting the video shot by video monitoring into the trained classification model by taking a frame as a unit to obtain a classification result and confidence, and generating an alarm record when the obtained classification result is that the safety helmet is not worn.
The event matched with the analysis distributed to the engineering facility class calls an engineering material management record and a use record of engineering equipment. The engineering event feeds back that the material is not in accordance with the requirement, the information of material purchasing manufacturers, specifications and the like recorded by engineering material management can be analyzed, and if the information is indeed in accordance with the fed-back engineering event, the engineering event is marked to be in accordance with the reality, otherwise, the engineering event is not in accordance with the reality.
Specifically, the specific steps that do coincide with the engineering events that are fed back are as follows:
searching the corresponding category of the engineering event by inputting the content information of the engineering event, and searching a key sentence in a category-mapping table to match the content information of the engineering event; and reading the record information of the related key sentences to compare the correlation, and marking the event if the correlation is determined to be in accordance with the reality.
In summary, the method, the system and the storage medium for judging the authenticity of the engineering event in the invention extract the place, the time and the type of the engineering event to be judged from the content of the engineering event to be judged by reading in the engineering event to be judged; searching monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged; and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to the matching result. Compared with the prior art, the method and the device can accurately judge the authenticity of the engineering event by matching the content of the engineering event with the monitoring records of the sensor or other monitoring data.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. A method for judging the authenticity of an engineering event is characterized by comprising the following steps:
reading in an engineering event to be judged, and extracting the place, time and type of the engineering event to be judged from the content of the engineering event to be judged;
searching a monitoring record corresponding to the type in the occurrence time period of the engineering event occurrence place to be judged according to the place, time and type of the engineering event to be judged;
and matching the monitoring record with the content of the engineering event to be judged, and judging the authenticity of the engineering event according to a matching result.
2. The method for judging the authenticity of the engineering event according to claim 1, wherein the step of extracting the type of the engineering event to be judged from the content of the engineering event to be judged specifically comprises the following steps:
respectively constructing a unique corresponding keyword and sentence set for each engineering event, and constructing a first mapping table of the engineering event type and the corresponding keyword and sentence set;
matching words and sentences in the engineering event to be judged with words and sentences in the keyword and sentence set one by utilizing a dictionary matching algorithm;
if the words and sentences in the engineering event to be judged are successfully matched with the words and sentences in the keyword and sentence set, based on the successfully matched keyword and sentence set, searching the engineering event type corresponding to the successfully matched keyword and sentence set from the first mapping table, and taking the searched engineering event type as the type of the engineering event to be judged.
3. The project event authenticity judgment method according to claim 1, wherein extracting the category of the project event to be judged from the content of the project event to be judged comprises the steps of:
constructing a supervised machine learning model, wherein the machine learning model takes the event content text as an input quantity and takes the event occurrence category of the event content text as an output quantity;
acquiring an event content text of a known event occurrence type from historical data, labeling the event content text by using the event occurrence type corresponding to the event content text, and training the machine learning model by using the labeled event content text as a training sample to obtain a trained machine learning model;
and inputting the event content to be extracted into the machine learning model to obtain the event occurrence category of the time content to be extracted.
4. The method for judging the authenticity of the engineering event according to claim 1, wherein the monitoring records corresponding to the types in the occurrence time period of the engineering event occurrence place to be judged are searched according to the occurrence place, the occurrence time and the types of the engineering event to be judged, and the method specifically comprises the following steps:
respectively constructing storage databases for different types of monitoring records, and constructing a second mapping table for engineering event types and corresponding detection databases;
and based on the searched type of the engineering event to be judged, searching monitoring records corresponding to the type, the occurrence place and the time of the engineering event to be judged from the second mapping table, and returning the monitoring records.
5. The method for judging the authenticity of the engineering event according to claim 1, wherein the engineering event is a fault engineering event or a hidden danger engineering event, and the monitoring record is matched with the content of the engineering event to be judged, specifically comprising the following steps:
and judging whether the monitoring record corresponding to the engineering event has abnormal value characteristics, and if so, judging that the engineering event is real.
6. The method for determining the authenticity of an engineering event according to claim 1, wherein the category of the engineering event comprises: fire safety, personnel safety, engineering facilities; the monitoring records corresponding to the fire safety class comprise monitoring records of various fire monitoring sensors and video monitoring records, the monitoring records corresponding to the personnel safety class comprise video monitoring records, and the monitoring records corresponding to the engineering facilities comprise engineering facility monitoring management records.
7. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of the preceding claims 1 to 6 are carried out by the processor when the computer program is executed by the processor.
8. A computer storage medium having a computer program stored thereon, wherein the program is adapted to perform the steps of the method of any one of claims 1 to 6 when executed by a processor.
CN202110467442.7A 2021-04-28 2021-04-28 Engineering event authenticity judgment method and system and storage medium Pending CN113379185A (en)

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