CN116307385B - Method for analyzing archival data based on extreme environment exploration operation - Google Patents
Method for analyzing archival data based on extreme environment exploration operation Download PDFInfo
- Publication number
- CN116307385B CN116307385B CN202310256586.7A CN202310256586A CN116307385B CN 116307385 B CN116307385 B CN 116307385B CN 202310256586 A CN202310256586 A CN 202310256586A CN 116307385 B CN116307385 B CN 116307385B
- Authority
- CN
- China
- Prior art keywords
- data
- safety
- early warning
- regional
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 230000007613 environmental effect Effects 0.000 claims description 53
- 239000010813 municipal solid waste Substances 0.000 claims description 40
- 239000003344 environmental pollutant Substances 0.000 claims description 37
- 231100000719 pollutant Toxicity 0.000 claims description 37
- 238000012544 monitoring process Methods 0.000 claims description 17
- 238000012360 testing method Methods 0.000 claims description 14
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 7
- 238000003066 decision tree Methods 0.000 claims description 5
- 238000009413 insulation Methods 0.000 description 20
- 238000004590 computer program Methods 0.000 description 10
- 238000007405 data analysis Methods 0.000 description 9
- 238000005553 drilling Methods 0.000 description 8
- 239000000356 contaminant Substances 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 5
- 238000012806 monitoring device Methods 0.000 description 5
- 230000036760 body temperature Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for analyzing archival data of exploration operation based on extreme environments, which comprises the following steps: acquiring exploration operation archive data; determining regional environment data associated with the survey job archive data; responding to the regional environment data meeting preset extreme environment data conditions, and inquiring special safety control data corresponding to the regional environment data; correcting a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model; inputting the exploration operation archival data and the regional environment data into the target safety early-warning model to obtain a safety early-warning level output by the target safety early-warning model; and if the safety precaution level is higher than a preset level threshold, outputting a safety precaution message aiming at the exploration operation archival data. The invention can realize intelligent safety early warning, thereby improving the safety of exploration operation.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method for analyzing archival data based on extreme environment exploration operation.
Background
Currently, in engineering geological exploration, exploration operations are often required in some extreme environments. Such as a mountain area environment, a desert environment, etc.
In practice, it has been found that certain safety hazards occur when exploration operations are performed in extreme environments. In this regard, safety production specifications concerning exploration operations are now established, enhancing safety production management. But in practical application, it is highly dependent on manual supervision of whether the current exploration operations meet the safety production specifications. Therefore, the safety guarantee of the existing exploration operation still depends on manual supervision, and the problem of insufficient safety exists.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method for analyzing exploration operation archives data based on extreme environments, which at least realizes intelligent safety early warning, thereby improving the safety of exploration operation.
According to an aspect of an embodiment of the present invention, there is provided a method for analyzing job archive data based on extreme environment exploration, the method including: acquiring exploration operation archive data; the exploration operation archive data comprise operator information, operation environment information and operation equipment information; determining regional environment data associated with the survey job archive data; the regional environment data comprises regional pollutant data, regional garbage data and regional weather data; responding to the regional environment data meeting preset extreme environment data conditions, and inquiring special safety control data corresponding to the regional environment data; correcting a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model; inputting the exploration operation archival data and the regional environment data into the target safety early-warning model to obtain a safety early-warning level output by the target safety early-warning model; and if the safety precaution level is higher than a preset level threshold, outputting a safety precaution message aiming at the exploration operation archival data.
Further, the method further comprises: if target pollutants of a specified pollutant class exist in the regional pollutant data and the pollution value of the target pollutants reaches a preset pollution threshold value, determining that the regional environment data meets the preset extreme environment data condition; or if the target garbage of the specified garbage category exists in the regional garbage data and the total amount of the target garbage reaches a preset quantity threshold, determining that the regional environment data meets the preset extreme environment data condition; or if the regional weather data indicates that severe weather exists, determining that the regional environment data meets the preset extreme environment data condition.
Further, querying special security control data corresponding to the regional environment data, including: performing environment modeling on the environment where the exploration operation is based on the regional pollutant data, the regional garbage data and the regional weather data to obtain an environment model; recording model test data of the environmental model in a next time period; the model test data comprises various parameters and parameter variation values which generate variation in the environment; comparing the model test data with a preset safety specification file to obtain abnormal parameters; and determining the safety control data corresponding to the abnormal parameters in the preset safety specification file as the special safety control data.
Further, the method further comprises: reading general safety classification conditions from the preset safety specification file; and taking each safety classification condition as each decision node in the decision tree model to obtain the preset general safety early warning model.
Further, based on the special safety control data, correcting a preset general safety early warning model to obtain a target safety early warning model, including: acquiring the preset general safety early warning model; analyzing the data attribute of the special safety control data, and determining a decision position corresponding to the special safety control data in the preset general safety early warning model; and inserting the special safety control data into the decision position to serve as a new decision node to update the preset general safety early warning model, so as to obtain the target safety early warning model.
Further, inputting the exploration operation archival data and the regional environment data to the target safety early warning model to obtain a safety early warning level output by the target resource model, including: inputting the exploration operation archival data and the regional environment data to the target safety early warning model; the exploration operation archival data and the regional environment data are decided by traversing each decision node in the target safety early warning model, so that the safety early warning grade is obtained; and outputting the safety early warning grade.
Further, the method further comprises: if the safety early warning level is lower than or equal to the preset level threshold, updating the exploration operation archival data and the regional environment data according to the preset acquisition frequency, wherein the safety early warning level is used for triggering the safety early warning message.
Further, after outputting the safety precaution message for the survey job archive data, the method further comprises: and controlling to transmit a monitoring instruction aiming at the exploration operation archival data to preset monitoring equipment so as to enable monitoring personnel corresponding to the preset monitoring equipment to process the safety early warning message.
Further, the method further comprises: determining a safety early warning object aimed at by the safety early warning level; and if the safety early warning object is a target operator, collecting positioning data of the target operator, and sending the positioning data to the preset monitoring equipment.
Further, the method further comprises: and responding to the regional environment data not meeting the preset extreme environment data conditions, inputting the exploration operation archival data and the regional environment data into the universal safety early warning model, and obtaining the safety early warning level output by the universal safety early warning model.
According to another aspect of the embodiment of the present invention, there is also provided an apparatus for analyzing archival data of exploration operations based on extreme environments, the apparatus including: the data acquisition unit is used for acquiring exploration operation archive data; the exploration operation archive data comprise operator information, operation environment information and operation equipment information; a data determination unit for determining regional environment data associated with the survey job archive data; the regional environment data comprises regional pollutant data, regional garbage data and regional weather data; the data query unit is used for responding to the fact that the regional environment data meet preset extreme environment data conditions and querying special safety control data corresponding to the regional environment data; the model generation unit is used for correcting a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model; the early warning unit is used for inputting the exploration operation archival data and the regional environment data into the target safety early warning model to obtain a safety early warning grade output by the target safety early warning model; and if the safety precaution level is higher than a preset level threshold, outputting a safety precaution message aiming at the exploration operation archival data.
According to yet another aspect of embodiments of the present invention, there is also provided a computer-readable storage medium having a computer program stored therein, wherein the computer program is configured to perform the above-described extreme environment exploration job archive data analysis method at runtime.
According to still another aspect of the embodiments of the present invention, there is further provided an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the method for analyzing data based on an extreme environment exploration operation profile through the computer program.
According to the embodiment of the invention, the exploration operation archival data under the extreme environment is subjected to data analysis, the universal safety early warning model is corrected through the special safety control data corresponding to the regional environment data, the target safety early warning model suitable for the extreme environment can be obtained, and the safety early warning grade matched with the exploration operation archival data can be automatically generated based on the target safety early warning model, so that intelligent safety early warning based on the safety early warning grade can be realized, and the safety of exploration operation is further improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of an alternative extreme environment based survey job archive data analysis method in accordance with an embodiment of the present application;
FIG. 2 is a flow chart of another alternative extreme environment based survey job archive data analysis method in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram of an alternative extreme environment based survey job archive data analysis device in accordance with an embodiment of the present application;
fig. 4 is a schematic structural view of an alternative electronic device according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention provides an optional method for analyzing the data of the exploration operation archives based on the extreme environment, as shown in fig. 1, the method for analyzing the data of the exploration operation archives based on the extreme environment comprises the following steps:
s101, acquiring exploration operation archive data; the exploration operation archive data comprises operation personnel information, operation environment information and operation equipment information.
In this embodiment, the execution body is an electronic device such as a terminal device or a server.
The operator information in the exploration operation file data may include information such as an operator name, an operator post, and an operator profile of an exploration operation.
The operating environment information in the survey operating profile data may include, among other things, pollutant emissions data, junk data, drilling parameter data, weather environment data, image environment data, and the like.
The operation equipment information in the exploration operation archive data can comprise exploration drilling machine parameters, geological exploration instrument parameters and intelligent transportation equipment parameters.
In this embodiment, the execution body may acquire the exploration job archive data stored locally, or the execution body may acquire the exploration job archive data stored in other terminal devices based on other terminal devices that have established connections in advance.
S102, determining regional environment data associated with the exploration operation archive data; wherein the regional environmental data includes regional pollutant data, regional trash data, and regional weather data.
In this embodiment, the execution subject, after obtaining the exploration job archive data, may further determine regional environment data associated with the exploration job archive data. Specifically, the execution body may analyze the operation environment information in the exploration operation archive data to obtain the first environment data. And the execution body can also determine the exploration project and the exploration progress of the current exploration operation according to the operator information and the operation equipment information in the exploration operation file data, and determine the matched second environment data according to the exploration project and the exploration progress. And integrating the first environment data and the second environment data to obtain the regional environment data.
As an alternative embodiment, determining the exploration project and the exploration progress to which the current exploration operation belongs according to the operator information and the operation equipment information in the exploration operation archive data may include: determining an exploration project to which each worker belongs according to worker information in exploration operation archive data; taking the exploration project containing the most operators as the exploration project corresponding to the exploration operation file data; and analyzing the prospecting drilling machine parameter, the geological prospecting instrument parameter and the intelligent transportation parameter in the operation equipment information, comparing the prospecting drilling machine parameter, the geological prospecting instrument parameter and the intelligent transportation parameter with the operation equipment parameter in the corresponding exploration project, determining the operation equipment parameter which is most matched in the exploration project, and further determining the exploration progress corresponding to the operation equipment parameter. The exploration progress is used for indicating the completion progress of exploration projects.
As another alternative, determining the matching second environmental data according to the survey item and the survey progress may include: determining environmental data associated with the exploration progress in the exploration project as matched second environmental data; wherein the second environmental data is indicative of environmental data suitable for exploration.
As another alternative embodiment, integrating the first environmental data and the second environmental data to obtain the regional environmental data may include: and comparing the environmental parameters in the first environmental data and the second environmental data one by one to obtain regional pollutant data, regional garbage data and regional weather data. Wherein the regional contaminant data may be used to indicate an out-of-standard value for the contaminant in the first environmental data relative to the contaminant in the second environmental data, the regional trash data may be used to indicate an out-of-standard value for the trash in the first environmental data relative to the trash in the second environmental data, and the regional weather data may be used to indicate an outlier of the weather in the first environmental data relative to the weather in the second environmental data.
S103, responding to the regional environment data to meet preset extreme environment data conditions, and inquiring special safety control data corresponding to the regional environment data.
In this embodiment, the preset extreme environmental data condition may be used to indicate that the regional environmental data indicates that the current environment where the exploration operation is located is worse, and there is a certain potential safety hazard. Specifically, the preset extreme environmental data condition may be that the regional pollutant data exceeds a preset pollutant exceeding threshold, the regional garbage data exceeds a preset garbage exceeding threshold, or the regional weather data is a preset abnormal value.
And, if the regional environment data satisfies a preset extreme environment data condition, the execution subject may further determine special security control data corresponding to the regional environment data. The special safety control data may be used to indicate a special condition for performing safety control on the extreme environment, for example, for an extreme low-temperature environment, the corresponding special safety control data may be insulation control data and temperature loss early warning control data, where the insulation control data may include insulation temperature and associated insulation service system data, and based on the insulation control data, the transmission of the insulation temperature including insulation required to be performed to the insulation service system may be controlled, so that an operator on the insulation service system side may perform a corresponding insulation measure. And, the temperature-losing early warning control data may include a human body temperature for performing the temperature-losing early warning, and if the human body temperature of the operator is detected to be lower than the temperature, an early warning message is sent to the nearest management base.
And S104, correcting a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model.
In this embodiment, after the execution body obtains the special security control data, the execution body may correct the preset general security early warning model based on the special condition in the special security control data to obtain the target security early warning model. The preset general safety early warning model can comprise basic safety early warning conditions, and if the exploration operation archival data and the regional environment data meet the basic safety early warning conditions, the safety early warning is output. The target safety early warning model can comprise the basic safety early warning conditions and the special early warning conditions so as to perform corresponding safety early warning when the exploration operation archival data and the regional environment data meet the special early warning conditions.
S105, inputting the exploration operation archival data and the regional environment data into the target safety early warning model to obtain the safety early warning level output by the target safety early warning model.
In this embodiment, the target security early warning model may output a security early warning level based on the input exploration operation archive data and regional environment data. The higher the safety early warning level is, the more potential safety hazards exist in the environment where the current exploration operation is located. The basic safety early-warning condition and the association relation between the special early-warning condition and the safety early-warning level are prestored in the target safety early-warning model. When the security early warning level is determined, the security early warning level which is finally output can be determined based on the association relation.
And S106, if the safety precaution grade is higher than a preset grade threshold, outputting a safety precaution message aiming at the exploration operation archival data.
In this embodiment, if the security early warning level is higher than the preset level threshold, it is indicated that the potential safety hazard is greater, and a security early warning message for the exploration operation archival data may be output. Specifically, the safety early warning message may be sent to a management terminal device corresponding to the area where the current exploration operation is located, or may be sent to a management terminal device corresponding to the nearest neighboring area to the area where the current exploration operation is located. The safety early warning message is used for indicating that the current exploration operation has safety risks.
According to the embodiment of the invention, the exploration operation archival data under the extreme environment is subjected to data analysis, the universal safety early warning model is corrected through the special safety control data corresponding to the regional environment data, the target safety early warning model suitable for the extreme environment can be obtained, and the safety early warning grade matched with the exploration operation archival data can be automatically generated based on the target safety early warning model, so that intelligent safety early warning based on the safety early warning grade can be realized, and the safety of exploration operation is further improved.
Further, an embodiment of the present invention provides another alternative method for analyzing archival data based on extreme environment exploration operation, as shown in fig. 2, where the method for analyzing archival data based on extreme environment exploration operation includes:
s201, acquiring exploration operation archive data; the exploration operation archive data comprises operation personnel information, operation environment information and operation equipment information.
In this embodiment, the execution body is an electronic device such as a terminal device or a server.
The operator information in the exploration operation file data may include information such as an operator name, an operator post, and an operator profile of an exploration operation.
The operating environment information in the survey operating profile data may include, among other things, pollutant emissions data, junk data, drilling parameter data, weather environment data, image environment data, and the like.
The operation equipment information in the exploration operation archive data can comprise exploration drilling machine parameters, geological exploration instrument parameters and intelligent transportation equipment parameters.
In this embodiment, the execution body may acquire the exploration job archive data stored locally, or the execution body may acquire the exploration job archive data stored in other terminal devices based on other terminal devices that have established connections in advance.
S202, determining regional environment data associated with the exploration job archive data; wherein the regional environmental data includes regional pollutant data, regional trash data, and regional weather data.
In this embodiment, the execution subject, after obtaining the exploration job archive data, may further determine regional environment data associated with the exploration job archive data. Specifically, the execution body may analyze the operation environment information in the exploration operation archive data to obtain the first environment data. And the execution body can also determine the exploration project and the exploration progress of the current exploration operation according to the operator information and the operation equipment information in the exploration operation file data, and determine the matched second environment data according to the exploration project and the exploration progress. And integrating the first environment data and the second environment data to obtain the regional environment data.
As an alternative embodiment, determining the exploration project and the exploration progress to which the current exploration operation belongs according to the operator information and the operation equipment information in the exploration operation archive data may include: determining an exploration project to which each worker belongs according to worker information in exploration operation archive data; taking the exploration project containing the most operators as the exploration project corresponding to the exploration operation file data; and analyzing the prospecting drilling machine parameter, the geological prospecting instrument parameter and the intelligent transportation parameter in the operation equipment information, comparing the prospecting drilling machine parameter, the geological prospecting instrument parameter and the intelligent transportation parameter with the operation equipment parameter in the corresponding exploration project, determining the operation equipment parameter which is most matched in the exploration project, and further determining the exploration progress corresponding to the operation equipment parameter. The exploration progress is used for indicating the completion progress of exploration projects.
As another alternative, determining the matching second environmental data according to the survey item and the survey progress may include: determining environmental data associated with the exploration progress in the exploration project as matched second environmental data; wherein the second environmental data is indicative of environmental data suitable for exploration.
As another alternative embodiment, integrating the first environmental data and the second environmental data to obtain the regional environmental data may include: and comparing the environmental parameters in the first environmental data and the second environmental data one by one to obtain regional pollutant data, regional garbage data and regional weather data. Wherein the regional contaminant data may be used to indicate an out-of-standard value for the contaminant in the first environmental data relative to the contaminant in the second environmental data, the regional trash data may be used to indicate an out-of-standard value for the trash in the first environmental data relative to the trash in the second environmental data, and the regional weather data may be used to indicate an outlier of the weather in the first environmental data relative to the weather in the second environmental data.
S203, responding to the regional environment data meeting preset extreme environment data conditions, and performing environment modeling on the environment where the exploration operation is located based on the regional pollutant data, the regional garbage data and the regional weather data to obtain an environment model.
In this embodiment, the preset extreme environmental data condition may be used to indicate that the regional environmental data indicates that the current environment where the exploration operation is located is worse, and there is a certain potential safety hazard. Specifically, the preset extreme environmental data condition may be that the regional pollutant data exceeds a preset pollutant exceeding threshold, the regional garbage data exceeds a preset garbage exceeding threshold, or the regional weather data is a preset abnormal value. And the execution subject can also model the environment where the current exploration operation is based on the regional pollutant data, the regional garbage data and the regional weather data, so as to obtain a three-dimensional environment model.
As an alternative embodiment, the following steps may also be performed: and responding to the regional environment data not meeting the preset extreme environment data conditions, inputting the exploration operation archival data and the regional environment data into the universal safety early warning model, and obtaining the safety early warning level output by the universal safety early warning model.
In this embodiment, if the regional environmental data does not meet the preset extreme environmental data condition, it is indicated that the environment where the current exploration operation is located does not belong to an environment where special early warning conditions need to be introduced, so that the general safety early warning model can be directly used to determine the safety early warning level.
As an alternative embodiment, the following steps may also be performed: if target pollutants of a specified pollutant class exist in the regional pollutant data and the pollution value of the target pollutants reaches a preset pollution threshold value, determining that the regional environment data meets the preset extreme environment data condition; or alternatively
If target garbage of a specified garbage category exists in the regional garbage data and the total amount of the target garbage reaches a preset quantity threshold, determining that the regional environment data meets the preset extreme environment data condition; or alternatively
And if the regional weather data indicate that severe weather exists, determining that the regional environment data meet the preset extreme environment data conditions.
In the present embodiment, a specified pollutant class, a specified garbage class, and bad weather may also be set in advance. If the regional pollutant data is parsed to indicate that target pollutants of a specified pollutant class exist and the pollution value of the target pollutants reaches a preset pollution threshold, it can be determined that preset extreme environmental data conditions are met. If the regional garbage data is analyzed, the condition that targets designating garbage categories exist and the total amount of target garbage reaches a preset quantity threshold value is indicated, and the preset extreme environment data condition is met can be determined. If the regional weather data are analyzed to indicate severe weather, the preset extreme environment data conditions are determined to be met.
S204, recording model test data of the environment model in the next time period; the model test data comprise various parameters and parameter variation values which generate variation in the environment.
In this embodiment, after modeling of the environmental model is achieved, model test data of the environmental model in the next time period may be recorded. The model test data herein is used to indicate environmental conditions in the future of the environmental model predicted from the current environmental conditions. The time period here may be user-defined, for example, for a future week. The model test data in the next time period can be the change parameters and parameter change values of the future week of the environment where the current exploration operation is located. It will be appreciated that the time period herein refers to a predicted time period of the environment in which the current survey is being conducted, rather than a time period during which model testing is being conducted in simulation test software.
S205, comparing the model test data with a preset safety specification file to obtain abnormal parameters.
In this embodiment, the execution body may store a security profile in advance, where the security profile may include a security control range for each environmental parameter, where the security control range includes both a fixed numerical range and a change rate numerical range. In the process of comparing the model test data with the safety control range in the safety specification file, abnormal parameters which do not belong to a fixed numerical range and abnormal parameters which do not belong to a change rate numerical range can be determined.
S206, determining the safety control data corresponding to the abnormal parameters in the preset safety specification file as the special safety control data.
In this embodiment, the execution body may determine the safety control data corresponding to each abnormal parameter, where the safety control data is a special safety control condition corresponding to the abnormal parameter. And summarizing special safety control conditions of each abnormal parameter to obtain the special safety control data.
The special safety control data may be used to indicate a special condition for performing safety control on the extreme environment, for example, for an extreme low-temperature environment, the corresponding special safety control data may be insulation control data and temperature loss early warning control data, where the insulation control data may include insulation temperature and associated insulation service system data, and based on the insulation control data, the transmission of the insulation temperature including insulation required to be performed to the insulation service system may be controlled, so that an operator on the insulation service system side may perform a corresponding insulation measure. And, the temperature-losing early warning control data may include a human body temperature for performing the temperature-losing early warning, and if the human body temperature of the operator is detected to be lower than the temperature, an early warning message is sent to the nearest management base.
S207, acquiring the preset general safety precaution model.
S208, according to the analysis of the data attribute of the special safety control data, determining a decision position corresponding to the special safety control data in the preset general safety early warning model.
In this embodiment, each special safety control condition in the special safety control data may correspond to a corresponding data attribute, such as temperature. When the general safety early warning model is corrected, the decision position corresponding to the data attribute can be determined in the general safety early warning model. The general safety early warning model comprises a plurality of decision positions, and each decision position corresponds to a different decision branch. By making a security decision at each decision position, different decision branches can be entered until a final decision result is obtained. It will be appreciated that decision positions for the same data attribute are typically located in close proximity, and thus, after determining the data attribute, a new decision position may be introduced in the vicinity of the decision position corresponding to that data attribute as a decision position corresponding to the particular safety control data.
S209, inserting the special safety control data into the decision position as a new decision node to update the preset general safety early warning model, thereby obtaining the target safety early warning model.
In this embodiment, the execution body may insert the special security control data into the decision position, so as to implement introduction of special security control conditions, and complete updating of the preset general security early-warning model, so as to obtain the target security early-warning model.
As an alternative embodiment, the following steps may also be performed: reading general safety classification conditions from the preset safety specification file; and taking each safety classification condition as each decision node in the decision tree model to obtain the preset general safety early warning model.
In this embodiment, the execution body may read general security classification conditions from a preset security specification file, where one security classification condition corresponds to one decision node in the decision tree model, and based on this, construct each decision node in the decision tree model, to obtain a general security early warning model.
S210, inputting the exploration operation archival data and the regional environment data to the target safety precaution model.
In this embodiment, the target security early warning model may output a security early warning level based on the input exploration operation archive data and regional environment data. The higher the safety early warning level is, the more potential safety hazards exist in the environment where the current exploration operation is located. The basic safety early-warning condition and the association relation between the special early-warning condition and the safety early-warning level are prestored in the target safety early-warning model. When the security early warning level is determined, the security early warning level which is finally output can be determined based on the association relation.
S211, making a decision on the exploration operation archival data and the regional environment data by traversing each decision node in the target safety early warning model to obtain the safety early warning grade.
In this embodiment, the execution body may traverse each decision node in the target security early warning model, so as to implement decision on the current exploration operation archival data and the regional environment data by using the general security control condition and the special security control condition, and obtain the final security early warning level.
S212, outputting the safety precaution grade.
S213, if the safety precaution grade is higher than a preset grade threshold, outputting a safety precaution message aiming at the exploration operation archival data.
In this embodiment, if the security early warning level is higher than the preset level threshold, it is indicated that the potential safety hazard is greater, and a security early warning message for the exploration operation archival data may be output. Specifically, the safety early warning message may be sent to a management terminal device corresponding to the area where the current exploration operation is located, or may be sent to a management terminal device corresponding to the nearest neighboring area to the area where the current exploration operation is located. The safety early warning message is used for indicating that the current exploration operation has safety risks.
S214, controlling to transmit a monitoring instruction aiming at the exploration operation archival data to a preset monitoring device so as to enable a monitoring person corresponding to the preset monitoring device to process the safety precaution message.
In this embodiment, after performing the safety precaution, the execution body may further control to transmit a monitoring instruction for the exploration operation archive data to the monitoring device, where the monitoring device may be an electronic device such as a work mobile phone, a tablet, etc. used by a monitoring person, so as to prompt the monitoring person to process the safety precaution message in time.
As an alternative embodiment, the following steps may also be performed: determining a safety early warning object aimed at by the safety early warning level; and if the safety early warning object is a target operator, collecting positioning data of the target operator, and sending the positioning data to the preset monitoring equipment.
In this embodiment, the safety pre-warning level may be further associated with a safety pre-warning object, and if the safety pre-warning object is a target operator, positioning data of the target operator may be collected and sent to the monitoring device, so as to perform more comprehensive monitoring.
As an alternative embodiment, the following steps may also be performed: if the safety early warning level is lower than or equal to the preset level threshold, updating the exploration operation archival data and the regional environment data according to the preset acquisition frequency, wherein the safety early warning level is used for triggering the safety early warning message.
In this embodiment, if the security pre-warning level is lower than or equal to the preset level threshold, the exploration operation archival data and the regional environment data may be updated according to the preset acquisition frequency, so as to implement continuous data analysis and security pre-warning of the exploration operation archival data.
According to the embodiment of the invention, the exploration operation archival data under the extreme environment is subjected to data analysis, the universal safety early warning model is corrected through the special safety control data corresponding to the regional environment data, the target safety early warning model suitable for the extreme environment can be obtained, and the safety early warning grade matched with the exploration operation archival data can be automatically generated based on the target safety early warning model, so that intelligent safety early warning based on the safety early warning grade can be realized, and the safety of exploration operation is further improved.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
Further, an embodiment of the present invention provides an optional device for analyzing archival data based on an extreme environment exploration operation, as shown in fig. 3, where the device for analyzing archival data based on an extreme environment exploration operation includes:
a data acquisition unit 301 for acquiring exploration operation archive data; the exploration operation archive data comprise operator information, operation environment information and operation equipment information;
a data determination unit 302 for determining regional environment data associated with the survey job archive data; the regional environment data comprises regional pollutant data, regional garbage data and regional weather data;
A data query unit 303, configured to query special security control data corresponding to the regional environment data in response to the regional environment data meeting a preset extreme environment data condition;
the model generating unit 304 is configured to correct a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model;
the early warning unit 305 is configured to input the exploration operation archival data and the regional environment data to the target safety early warning model, so as to obtain a safety early warning level output by the target safety early warning model; and if the safety precaution level is higher than a preset level threshold, outputting a safety precaution message aiming at the exploration operation archival data.
According to the embodiment of the invention, the exploration operation archival data under the extreme environment is subjected to data analysis, the universal safety early warning model is corrected through the special safety control data corresponding to the regional environment data, the target safety early warning model suitable for the extreme environment can be obtained, and the safety early warning grade matched with the exploration operation archival data can be automatically generated based on the target safety early warning model, so that intelligent safety early warning based on the safety early warning grade can be realized, and the safety of exploration operation is further improved.
Further, according to yet another aspect of the embodiments of the present invention, there is also provided an electronic device for implementing the above-mentioned method for analyzing archival data of exploration operations based on extreme environments, as shown in fig. 4, the electronic device comprising a memory 402 and a processor 404, the memory 402 storing a computer program, the processor 404 being configured to execute the steps of any of the method embodiments described above by means of the computer program.
Alternatively, in this embodiment, the electronic apparatus may be located in at least one network device of a plurality of network devices of the computer network.
Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:
s1, acquiring exploration operation archive data; the exploration operation archive data comprise operator information, operation environment information and operation equipment information;
s2, determining regional environment data associated with the exploration operation archive data; the regional environment data comprises regional pollutant data, regional garbage data and regional weather data;
s3, responding to the fact that the regional environment data meet preset extreme environment data conditions, and inquiring special safety control data corresponding to the regional environment data;
S4, correcting a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model;
s5, inputting the exploration operation archival data and the regional environment data into the target safety early warning model to obtain a safety early warning grade output by the target safety early warning model;
and S6, if the safety precaution grade is higher than a preset grade threshold, outputting a safety precaution message aiming at the exploration operation archival data.
Alternatively, it will be understood by those skilled in the art that the structure shown in fig. 4 is only schematic, and the electronic device may also be a terminal device such as a smart phone (e.g. an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a mobile internet device (Mobile Internet Devices, MID), a PAD, etc. Fig. 4 is not limited to the structure of the electronic device. For example, the electronic device may also include more or fewer components (e.g., network interfaces, etc.) than shown in FIG. 4, or have a different configuration than shown in FIG. 4.
The memory 402 may be used to store software programs and modules, such as program instructions/modules corresponding to the method for analyzing data of an exploration job based on extreme environment in the embodiment of the present invention, and the processor 404 executes the software programs and modules stored in the memory 402 to perform various functional applications and data processing, i.e. implement the method for analyzing data of an exploration job based on extreme environment. Memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 402 may further include memory located remotely from processor 404, which may be connected to the terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 402 may be used to store information such as operation instructions, but is not limited to. As an example, as shown in FIG. 4, the memory 402 may include, but is not limited to, various modules in the apparatus.
Optionally, the transmission device 406 is used to receive or transmit data via a network. Specific examples of the network described above may include wired networks and wireless networks. In one example, the transmission means 406 includes a network adapter (Network Interface Controller, NIC) that can be connected to other network devices and routers via a network cable to communicate with the internet or a local area network. In one example, the transmission device 406 is a Radio Frequency (RF) module for communicating with the internet wirelessly.
In addition, the electronic device further includes: a display 408 and a connection bus 410.
According to a further aspect of embodiments of the present invention there is also provided a storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
Alternatively, in the present embodiment, the above-described storage medium may be configured to store a computer program for performing the steps of:
s1, acquiring exploration operation archive data; the exploration operation archive data comprise operator information, operation environment information and operation equipment information;
S2, determining regional environment data associated with the exploration operation archive data; the regional environment data comprises regional pollutant data, regional garbage data and regional weather data;
s3, responding to the fact that the regional environment data meet preset extreme environment data conditions, and inquiring special safety control data corresponding to the regional environment data;
s4, correcting a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model;
s5, inputting the exploration operation archival data and the regional environment data into the target safety early warning model to obtain a safety early warning grade output by the target safety early warning model;
and S6, if the safety precaution grade is higher than a preset grade threshold, outputting a safety precaution message aiming at the exploration operation archival data.
Alternatively, in this embodiment, it will be understood by those skilled in the art that all or part of the steps in the methods of the above embodiments may be performed by a program for instructing a terminal device to execute the steps, where the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), magnetic or optical disk, and the like.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The integrated units in the above embodiments may be stored in the above-described computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing one or more computer devices (which may be personal computers, servers or network devices, etc.) to perform all or part of the steps of the method of the various embodiments of the present application.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In several embodiments provided by the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and are merely a logical functional division, and there may be other manners of dividing the apparatus in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (10)
1. A method for analyzing archival data of exploration operations based on extreme environments, the method comprising:
acquiring exploration operation archive data; the exploration operation archive data comprise operator information, operation environment information and operation equipment information;
Determining regional environment data associated with the survey job archive data; the regional environment data comprises regional pollutant data, regional garbage data and regional weather data;
responding to the regional environment data meeting preset extreme environment data conditions, and inquiring special safety control data corresponding to the regional environment data;
correcting a preset general safety early warning model based on the special safety control data to obtain a target safety early warning model;
inputting the exploration operation archival data and the regional environment data into the target safety early-warning model to obtain a safety early-warning level output by the target safety early-warning model;
and if the safety precaution level is higher than a preset level threshold, outputting a safety precaution message aiming at the exploration operation archival data.
2. The method according to claim 1, wherein the method further comprises:
if target pollutants of a specified pollutant class exist in the regional pollutant data and the pollution value of the target pollutants reaches a preset pollution threshold value, determining that the regional environment data meets the preset extreme environment data condition; or alternatively
If target garbage of a specified garbage category exists in the regional garbage data and the total amount of the target garbage reaches a preset quantity threshold, determining that the regional environment data meets the preset extreme environment data condition; or alternatively
And if the regional weather data indicate that severe weather exists, determining that the regional environment data meet the preset extreme environment data conditions.
3. The method of claim 2, wherein querying special security control data corresponding to the regional environment data comprises:
performing environment modeling on the environment where the exploration operation is based on the regional pollutant data, the regional garbage data and the regional weather data to obtain an environment model;
recording model test data of the environmental model in a next time period; the model test data comprises various parameters and parameter variation values which generate variation in the environment;
comparing the model test data with a preset safety specification file to obtain abnormal parameters;
and determining the safety control data corresponding to the abnormal parameters in the preset safety specification file as the special safety control data.
4. A method according to claim 3, characterized in that the method further comprises:
reading general safety classification conditions from the preset safety specification file;
and taking each safety classification condition as each decision node in the decision tree model to obtain the preset general safety early warning model.
5. The method of claim 4, wherein modifying the pre-set general safety precaution model based on the special safety control data to obtain the target safety precaution model comprises:
acquiring the preset general safety early warning model;
analyzing the data attribute of the special safety control data, and determining a decision position corresponding to the special safety control data in the preset general safety early warning model;
and inserting the special safety control data into the decision position to serve as a new decision node to update the preset general safety early warning model, so as to obtain the target safety early warning model.
6. The method of claim 5, wherein inputting the survey job profile data and the regional environment data to the target safety precaution model results in a safety precaution level output by the target safety precaution model, comprising:
Inputting the exploration operation archival data and the regional environment data to the target safety early warning model;
the exploration operation archival data and the regional environment data are decided by traversing each decision node in the target safety early warning model, so that the safety early warning grade is obtained;
and outputting the safety early warning grade.
7. The method according to claim 1, wherein the method further comprises:
if the safety early warning level is lower than or equal to the preset level threshold, updating the exploration operation archival data and the regional environment data according to the preset acquisition frequency, wherein the safety early warning level is used for triggering the safety early warning message.
8. The method of claim 1, wherein after outputting the safety precaution message for the survey job profile data, the method further comprises:
and controlling to transmit a monitoring instruction aiming at the exploration operation archival data to preset monitoring equipment so as to enable monitoring personnel corresponding to the preset monitoring equipment to process the safety early warning message.
9. The method of claim 8, wherein the method further comprises:
Determining a safety early warning object aimed at by the safety early warning level;
and if the safety early warning object is a target operator, collecting positioning data of the target operator, and sending the positioning data to the preset monitoring equipment.
10. The method according to claim 1, wherein the method further comprises:
and responding to the regional environment data not meeting the preset extreme environment data conditions, inputting the exploration operation archival data and the regional environment data into the universal safety early warning model, and obtaining the safety early warning level output by the universal safety early warning model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310256586.7A CN116307385B (en) | 2023-03-16 | 2023-03-16 | Method for analyzing archival data based on extreme environment exploration operation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310256586.7A CN116307385B (en) | 2023-03-16 | 2023-03-16 | Method for analyzing archival data based on extreme environment exploration operation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116307385A CN116307385A (en) | 2023-06-23 |
| CN116307385B true CN116307385B (en) | 2023-08-25 |
Family
ID=86814616
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310256586.7A Active CN116307385B (en) | 2023-03-16 | 2023-03-16 | Method for analyzing archival data based on extreme environment exploration operation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116307385B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110210070A (en) * | 2019-05-09 | 2019-09-06 | 东北农业大学 | A kind of basin water environment Ecological Alarm method and system |
| WO2021174971A1 (en) * | 2020-08-03 | 2021-09-10 | 生态环境部南京环境科学研究所 | Water environment risk prediction and early warning method |
| CN113496302A (en) * | 2020-04-02 | 2021-10-12 | 中国石油化工股份有限公司 | Method and system for intelligently identifying and early warning drilling risks |
| CN113936428A (en) * | 2021-09-03 | 2022-01-14 | 席凯 | Urban drainage pipe network waterlogging early warning system |
| CN114708132A (en) * | 2022-04-27 | 2022-07-05 | 中煤航测遥感集团有限公司 | Environment monitoring and early warning processing method and device, computer equipment and storage medium |
| CN115423167A (en) * | 2022-08-29 | 2022-12-02 | 中国电建集团华东勘测设计研究院有限公司 | Subway deep foundation pit construction safety early warning and decision-making assisting method and system |
| CN115436604A (en) * | 2022-09-29 | 2022-12-06 | 何庚民 | Intelligent geological exploration survey safety monitoring and early warning system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860118A (en) * | 2022-12-06 | 2023-03-28 | 国家石油天然气管网集团有限公司 | Safety construction method and system of intelligent pipe network knowledge model |
-
2023
- 2023-03-16 CN CN202310256586.7A patent/CN116307385B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110210070A (en) * | 2019-05-09 | 2019-09-06 | 东北农业大学 | A kind of basin water environment Ecological Alarm method and system |
| CN113496302A (en) * | 2020-04-02 | 2021-10-12 | 中国石油化工股份有限公司 | Method and system for intelligently identifying and early warning drilling risks |
| WO2021174971A1 (en) * | 2020-08-03 | 2021-09-10 | 生态环境部南京环境科学研究所 | Water environment risk prediction and early warning method |
| CN113936428A (en) * | 2021-09-03 | 2022-01-14 | 席凯 | Urban drainage pipe network waterlogging early warning system |
| CN114708132A (en) * | 2022-04-27 | 2022-07-05 | 中煤航测遥感集团有限公司 | Environment monitoring and early warning processing method and device, computer equipment and storage medium |
| CN115423167A (en) * | 2022-08-29 | 2022-12-02 | 中国电建集团华东勘测设计研究院有限公司 | Subway deep foundation pit construction safety early warning and decision-making assisting method and system |
| CN115436604A (en) * | 2022-09-29 | 2022-12-06 | 何庚民 | Intelligent geological exploration survey safety monitoring and early warning system |
Non-Patent Citations (1)
| Title |
|---|
| 野外勘探作业事故成因分析及预警管理研究;蔡小茵;《中国优秀硕士学位论文全文数据库 工程科技I辑》(第9期);B026-2 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116307385A (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111860900A (en) | BIM-based digital twin intelligent machine room management method, device, equipment and medium | |
| CN109784574A (en) | The prediction technique and device of equipment state, storage medium, electronic device | |
| CN107066500B (en) | Power grid mass data quality verification method based on PMS model | |
| US20160231372A1 (en) | Wire Diagram Tagging System | |
| CN109389326B (en) | Monitoring event-oriented object modeling method, device and system | |
| CN116316614B (en) | Three-dimensional digital twin system of power grid, performance analysis method and related device | |
| CN111105150A (en) | Project risk analysis system | |
| CN115757363B (en) | Multi-level management method and system for three-dimensional cadastral database | |
| CN111078512A (en) | Alarm record generation method and device, alarm equipment and storage medium | |
| CN108269059B (en) | Data management system | |
| CN115345466A (en) | Power distribution network online evaluation system based on network frame topology and multi-source data fusion | |
| CN110609864B (en) | Chemical supply chain-oriented data visualization management method and device | |
| CN111932060A (en) | Method and system for performing mobile inspection on cable line based on front-end and back-end fusion data | |
| CN112737124B (en) | Method and device for constructing power equipment monitoring terminal | |
| CN112686773B (en) | Electric power metering all-link key business anomaly positioning model construction method based on fusion business topology | |
| CN116307385B (en) | Method for analyzing archival data based on extreme environment exploration operation | |
| CN116847222B (en) | Remote monitoring method and system applied to petroleum underground measuring equipment | |
| CN116896166A (en) | Digital twin panoramic management and control system and method for urban cable | |
| CN108491530B (en) | Space geographic information system | |
| CN110546657A (en) | Method and apparatus for assessing the lifecycle of a component | |
| CN111159988B (en) | Model processing method, device, computer equipment and storage medium | |
| CN105095066B (en) | Security flaw detection method and device | |
| CN112184493A (en) | Data processing method, system and storage medium based on big data and assembly type building platform | |
| CN113580983A (en) | Remote management method and system for operation and maintenance of charging pile | |
| CN112329958A (en) | Auxiliary analysis method for movement perception of cables in pipe gallery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |