CN114781120A - Intelligent analysis method and system based on online monitoring data of tailing pond and storage medium - Google Patents
Intelligent analysis method and system based on online monitoring data of tailing pond and storage medium Download PDFInfo
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Abstract
The application relates to an intelligent analysis method, system and storage medium based on tailing storehouse on-line monitoring data, relate to tailing storehouse safety monitoring technical field, it is comparatively troublesome to have solved current analysis to side slope stability, must through data such as revising saturation line, storehouse water level, dry beach length, the problem that the work load is great is modeled again and can be analyzed, and it includes: acquiring online monitoring data of a tailing pond; based on the online monitoring data of the tailing pond, a slope stability calculation method is applied to analyze and calculate slope stability information, and the slope stability information is sent to a terminal held by a responsible person. The application has the following effects: the analysis and calculation aiming at the slope stability can be more convenient and faster, and the workload is reduced.
Description
Technical Field
The application relates to the technical field of safety monitoring of tailing ponds, in particular to an intelligent analysis method, system and storage medium based on online monitoring data of tailing ponds.
Background
The tailing pond is an important facility in the production of mine enterprises, and the operation condition of the tailing pond is not only related to the safety hazards of lives and properties of residents at the downstream of a dam body and the surrounding environment, but also one of the potential safety hazards in the production of the mine enterprises.
From the construction and function of the tailings pond, the tailings pond is an artificial high-potential energy danger source. Once the tailing pond breaks a dam or tailings are leaked, the ecological environment and the life and property safety of residents in the area are fatally attacked. Therefore, safety supervision on the tailing pond is enhanced, a scientific tailing pond safety monitoring and early warning system is designed, the operation condition of the tailing pond is reflected in real time, and the method has important significance in reducing accident risk of the tailing pond.
With the development of science and technology, an important part in the safety monitoring of a tailing pond is the analysis of slope stability, the analysis of the slope stability is to acquire data such as information of each rock and soil layer, physical mechanical indexes, infiltration lines and the like through engineering investigation, establish a model and calculate by a strip division method. The change of the operation parameters such as the saturation line, the reservoir water level, the dry beach length and the like of the reservoir area is influenced by the ore drawing mode of the tailing reservoir, rainfall and the rising of the later-stage stacking sub-dam, and the analysis can be carried out only by modifying the data such as the saturation line, the reservoir water level, the dry beach length and the like through the traditional calculation method and modeling again.
With respect to the related art among the above, the inventors consider that there are the following drawbacks: the existing analysis aiming at the slope stability is troublesome, the analysis can be carried out only by modifying data such as a saturation line, a reservoir water level, a dry beach length and the like and modeling again, and the workload is large.
Disclosure of Invention
In order to analyze the slope stability more conveniently and quickly and reduce the workload, the application provides an intelligent analysis method, system and storage medium based on the online monitoring data of a tailing pond.
In a first aspect, the application provides an intelligent analysis method based on online monitoring data of a tailing pond, which adopts the following technical scheme:
an intelligent analysis method based on online monitoring data of a tailing pond comprises the following steps:
acquiring online monitoring data of a tailing pond;
and analyzing and calculating slope stability information by applying a slope stability calculation method based on the online monitoring data of the tailing pond, and sending the slope stability information to a terminal held by a responsible person.
Optionally, the method further includes the step of analyzing and calculating slope stability information, and sending the slope stability information to a terminal held by a responsible person:
acquiring information display modes inclined by responsible personnel, wherein the information display modes comprise a single side slope stability information sending mode and a mode of sending side slope stability information and also comparing results of the side slope stability information;
if the information display mode inclined by the responsible person is single slope stability information sending, determining that the information sent to the terminal held by the responsible person is the single slope stability information sending mode;
and if the information display mode inclined by the responsible person is the mode of sending the slope stability information and combining the comparison result of the slope stability information, determining that the information sent to the terminal held by the responsible person is the mode of sending the slope stability information and combining the comparison result of the slope stability information.
Optionally, the slope stability calculation method is a swedish arc method in a limit balance method or a simplified zodiac method to perform static anti-slip stability analysis on the tailing pond dam body.
Optionally, the method further includes a step of analyzing and calculating slope stability information based on the online monitoring data of the tailing pond by using a slope stability calculation method, and sending the slope stability information to the terminal held by the responsible person, where the step is as follows:
analyzing and confirming possible fault problem distribution condition information based on the interval range of the online monitoring data of the tailing pond and the corresponding condition of problem probability distribution condition information corresponding to different interval ranges of the online monitoring data of the tailing pond;
and sending the probability distribution condition information of the possible problems to a terminal held by a responsible person.
Optionally, the analyzing and confirming the information of the probability distribution condition of the possible problem includes:
analyzing the interval range of the current online monitoring data of the tailing pond;
and searching and acquiring the problem probability distribution condition information corresponding to the interval range of the current online monitoring data of the tailing pond according to the corresponding condition of the problem probability distribution condition information corresponding to different interval ranges of the online monitoring data of the tailing pond.
Optionally, the method further comprises the step of sending the information of the probability distribution situation of the possible problem to the terminal held by the responsible person in a manner that the corresponding responsible person tends to:
acquiring identity information of a responsible person;
whether the notification information is sent currently is analyzed based on the corresponding relation between the identity information of the responsible person and the degree of importance of the concerned problem, the probability distribution condition information of the possible problems and the current working condition of the responsible person, wherein the degree of importance comprises two states of importance and general importance, and the current working condition of the responsible person comprises busy state and idle state.
Optionally, analyzing whether to send the notification information at present includes:
inquiring and acquiring the attention degree condition of the attention problem of the corresponding identity information responsible person from the corresponding relation between the identity information of the responsible person and the attention degree of the attention problem;
analyzing and acquiring the probability of problems needing to be emphasized and the probability of general problems based on the probability distribution condition information of the possible problems and the attention degree condition of the problems concerned by corresponding identity information responsible persons;
if the probability of attaching importance to the problem exceeds a first preset probability, determining that the current time node is the time node for sending the notification information, and analyzing and determining the latest time node for feeding back and receiving the notification information by the responsible person based on the reaction duration of the responsible person;
if the probability of the problem needing to be taken into account is lower than the first preset probability and exceeds the second preset probability, determining that the current time node is the time node for sending the notification information;
if the probability of paying attention to the problem is lower than a second preset probability, analyzing and acquiring the current working condition of the responsible person;
if the responsible person is in a busy state, the responsible person does not make a notification, and the time node of the responsible person recovering the idle state is used as the time node for notifying the responsible person; otherwise, the current time node is confirmed to be the time node sending the notification information.
Optionally, based on the reaction duration of the responsible person, analyzing and confirming the latest time node at which the responsible person feeds back the received notification information includes:
analyzing and confirming the time length of the information which is received and fed back by the responsible person at the current time period and the current working state based on the corresponding relation of the responsible person and the reaction time length of the corresponding responsible person for receiving the notification information at different time periods and different working states;
and analyzing and acquiring the latest time node of the notification information received by the responsible person based on the current time node, the time length of the responsible person receiving and feeding back the notification information in the current time period and the current working state and the time consumption of the preset notification information for transmitting back and forth.
In a second aspect, the present application provides an intelligent analysis system based on online monitoring data of a tailings pond, which adopts the following technical scheme:
an intelligent analysis system based on online monitored data of a tailing pond comprises a storage, a processor and a program which is stored on the storage and can run on the processor, wherein the program can be loaded and executed by the processor to realize the intelligent analysis method based on the online monitored data of the tailing pond.
In a third aspect, the present application provides a computer storage medium, which adopts the following technical solutions:
a computer storage medium comprising a program capable of being loaded and executed by a processor to implement a method for intelligent analysis based on tailings pond online monitoring data according to the first aspect.
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In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the embodiments or technical solutions of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic step diagram of an intelligent analysis method based on online monitoring data of a tailings pond according to an embodiment of the present application.
Fig. 2 is a schematic diagram of the steps of analyzing and calculating slope stability information based on the online monitoring data of the tailing pond by applying a slope stability calculation method, and sending the slope stability information to the terminal held by the responsible person.
FIG. 3 is a schematic diagram illustrating the steps of analyzing and confirming probability distribution status information of possible problems.
Fig. 4 is a schematic diagram of steps before the information of probability distribution of possible problems is sent to the terminal held by the person in charge in a manner inclined by the corresponding person in charge.
Fig. 5 is a schematic diagram illustrating a step of analyzing whether notification information is currently transmitted.
Fig. 6 is a schematic diagram illustrating a step of analyzing and confirming a node of the latest time at which the notice information is received by the responsible person in feedback based on the reaction duration of the responsible person.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, the intelligent analysis method based on the online monitoring data of the tailings pond disclosed in the present application includes steps S100 to Sa 00.
In step S100, online monitoring data of the tailings pond is acquired.
It should be noted that the online monitoring data of the tailing pond can be water level monitoring data in the tailing pond, dry beach length data, saturation line position data, precipitation data, and other monitorable data.
In step Sa00, slope stability information is analyzed and calculated based on the online monitoring data of the tailings pond by using a slope stability calculation method, and is sent to the terminal held by the responsible person.
The slope stability calculation method is a Swedish arc method in a limit balance method or a simplified Bischopper method for performing static anti-slip stability analysis on the dam body of the tailing pond.
In addition, the method also comprises the steps of analyzing and calculating slope stability information and sending the slope stability information to a terminal held by a responsible person:
acquiring information display modes inclined by responsible personnel, wherein the information display modes comprise a single slope stability information sending mode and a mode of sending slope stability information and also combining a comparison result of the slope stability information;
if the information display mode inclined by the responsible person is single slope stability information sending, determining that the information sent to the terminal held by the responsible person is the single slope stability information sending mode;
and if the information display mode inclined by the responsible person is the mode of sending the slope stability information and combining the comparison result of the slope stability information, determining that the information sent to the terminal held by the responsible person is the mode of sending the slope stability information and combining the comparison result of the slope stability information.
Referring to fig. 2, the intelligent analysis method based on the online monitoring data of the tailing pond further includes a step of analyzing and calculating slope stability information by applying a slope stability calculation method based on the online monitoring data of the tailing pond, and sending the slope stability information to a terminal held by a responsible person, and the steps include steps S200 to S300.
In step S200, the distribution status information of the possible failure problem is analyzed and determined based on the section range where the online monitoring data of the tailing pond is located and the corresponding situation of the problem probability distribution status information corresponding to different section ranges where the online monitoring data of the tailing pond is located.
In step S300, the information about the probability distribution of possible problems is transmitted to the terminal held by the person in charge.
The terminal of the responsible party in step S300 may be a mobile phone, a computer, or other terminal devices capable of communicating.
Referring to fig. 3, wherein step S200 includes:
and step S210, analyzing the interval range of the current online monitoring data of the tailing pond.
Step S220, searching and acquiring problem probability distribution condition information corresponding to the interval range of the online monitoring data of the existing tailing pond from the corresponding condition of the problem probability distribution condition information corresponding to different interval ranges of the online monitoring data of the tailing pond.
The corresponding situation of the problem probability distribution situation information corresponding to the different section ranges of the online monitoring data of the tailings pond mentioned in step S220 may be obtained by querying a preset database in which the corresponding situations of the problem probability distribution situation information corresponding to the different section ranges of the online monitoring data of the tailings pond are stored.
Referring to fig. 4, the intelligent analysis method based on the online monitoring data of the tailings pond further includes a step before the information of the probability distribution of the possible problems is sent to the terminal held by the responsible person in a manner that the responsible person tends to, specifically as follows:
step SA00, acquiring the identity information of the person in charge.
And step SB00, analyzing whether to send the notification information at present based on the corresponding relation between the identity information of the responsible person and the degree of importance of the concerned problem, the probability distribution condition information of the possible problem and the current working condition of the responsible person, wherein the degree of importance comprises importance and general two states, and the current working condition of the responsible person comprises busy and idle.
The corresponding relationship between the identity information of the responsible person and the degree of importance of the concerned problem, the probability distribution condition information of the possible problems and the current working condition of the responsible person can be inquired and obtained from a preset database in which the corresponding relationship between the identity information of the responsible person and the degree of importance of the concerned problem, the probability distribution condition information of the possible problems and the current working condition of the responsible person are stored.
Referring to fig. 5, wherein the analyzing whether the notification information is currently transmitted at step SB00 includes:
and step SB10, inquiring and acquiring the attention degree condition of the attention problem of the corresponding identity information responsible person from the corresponding relation between the identity information of the responsible person and the attention degree of the attention problem.
The corresponding relationship between the identity information of the responsible person and the importance of the concerned problem can be obtained by querying a preset database in which the corresponding relationship between the identity information of the responsible person and the importance of the concerned problem is stored.
And step SB20, analyzing and acquiring the probability of the problem needing to be valued and the probability of the general problem based on the probability distribution condition information of the possible problems and the importance degree condition of the problem concerned by the corresponding identity information responsible person.
And step SBA0, if the probability of the problem needing to be taken into account exceeds a first preset probability, determining that the current time node is the time node for sending the notification information, and analyzing and determining the latest time node for feeding back and receiving the notification information by the responsible person based on the reaction duration of the responsible person.
The first preset probability may be 70%, or may be adjusted based on the user's needs.
In step SBB0, if the probability of the problem to be taken into account is lower than the first predetermined probability and exceeds the second predetermined probability, then the current time node is determined to be the time node sending the notification message.
Step SBC0, if the probability that the problem needs to be taken into account is lower than a second predetermined probability, analyzing and acquiring the current working condition of the responsible person; if the responsible person is in a busy state, the responsible person does not make a notification, and the time node of the responsible person recovering the idle state is used as the time node for notifying the responsible person; otherwise, the current time node is confirmed to be the time node sending the notification information.
Referring to fig. 6, the node analyzing and confirming the latest time when the responsible person feeds back the received notification information based on the reaction duration of the responsible person mentioned in step SBA0 includes:
and step SBAA, analyzing and confirming the time length of the information which is received and fed back by the responsible person at the current time and in the current working state based on the corresponding relation of the response time lengths of the responsible person and the corresponding responsible person for receiving the notification information at different time periods and different working states.
And step SBAB, analyzing and acquiring the latest time node of the responsible person for feeding back the received notification information based on the current time node, the time length of the responsible person for receiving and feeding back the notification information in the current time period and the current working state and the time consumption of the preset notification information for transmitting back and forth.
For example, the feedback time of the responsible person is 3 minutes, the preset notification information is 1 minute, and this time is 11 hours, then the latest time node is 11 hours and 4 minutes.
An intelligent analysis method based on online monitoring data of a tailing pond further comprises a step after a node of the latest time for analyzing and confirming that a responsible person feeds back and receives notification information, and the method comprises the following specific steps:
if the feedback information of the responsible person is not received at the latest time node, the unmanned aerial vehicle is started to plan a proper path to fly to the position near the responsible person for alarm notification based on the position of the responsible person.
Wherein, starting that unmanned aerial vehicle plans suitable route and flies near the person in charge and make the warning notice including:
and step Sa00, planning the shortest path from the unmanned aerial vehicle to the position where the responsible person is located.
And step Sb00, flying the unmanned aerial vehicle along the planned path.
And step Sc00, when the straight line distance between the unmanned aerial vehicle position and the position of the responsible person is within a first preset distance range, making a sound notification.
And step Sd00, when the linear distance between the position of the unmanned aerial vehicle and the position of the responsible person is less than the first preset distance range and exceeds the second preset distance range, identifying and acquiring the facing surface of the responsible person, and executing the notification action inclined by the responsible person to perform the corresponding action.
The acquisition of the notification action inclined by the responsible person comprises the following steps: and inquiring and acquiring the notification action inclined by the responsible person based on the corresponding relation of the unmanned aerial vehicle notification action inclined by the responsible person.
Note that the notification operation may be a circling flight or an up-and-down flight.
An embodiment of the present invention provides a computer-readable storage medium, which includes a program capable of being loaded and executed by a processor to implement any one of the methods shown in fig. 1-6.
The computer-readable storage medium includes, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
Based on the same inventive concept, an embodiment of the present invention provides an intelligent analysis system based on online monitoring data of a tailings pond, including a memory and a processor, wherein the memory stores a program capable of running on the processor to implement any one of the methods shown in fig. 1 to 6.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: equivalent changes in structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. An intelligent analysis method based on online monitoring data of a tailing pond is characterized by comprising the following steps:
acquiring online monitoring data of a tailing pond;
and analyzing and calculating slope stability information by applying a slope stability calculation method based on the online monitoring data of the tailing pond, and sending the slope stability information to a terminal held by a responsible person.
2. The intelligent analysis method based on the online monitoring data of the tailing pond according to claim 1, characterized by further comprising the steps of analyzing and calculating slope stability information, and sending the slope stability information to a terminal held by a responsible person:
acquiring information display modes inclined by responsible personnel, wherein the information display modes comprise a single side slope stability information sending mode and a mode of sending side slope stability information and also comparing results of the side slope stability information;
if the information display mode inclined by the responsible person is single slope stability information sending, determining that the information sent to the terminal held by the responsible person is the single slope stability information sending mode;
if the information display mode inclined by the responsible person is the mode of sending the slope stability information and combining the comparison result of the slope stability information, the information sent to the terminal held by the responsible person is determined to be the mode of sending the slope stability information and combining the comparison result of the slope stability information.
3. The intelligent analysis method based on the online monitoring data of the tailing pond according to claim 1, characterized in that the slope stability calculation method is a Swedish arc method or a simplified Bischopper method in a limit balance method to perform static anti-skid stability analysis on the dam body of the tailing pond.
4. The intelligent analysis method based on the online monitoring data of the tailing pond according to claim 1, further comprising the steps of analyzing and calculating the slope stability information based on the online monitoring data of the tailing pond by using a slope stability calculation method, and sending the slope stability information to a terminal held by a responsible person, wherein the steps are as follows:
analyzing and confirming possible fault problem distribution condition information based on the interval range of the online monitoring data of the tailing pond and the corresponding condition of the problem probability distribution condition information corresponding to different interval ranges of the online monitoring data of the tailing pond;
and sending the probability distribution condition information of the possible problems to a terminal held by a responsible person.
5. The intelligent analysis method based on the online monitoring data of the tailing pond of claim 4, wherein the analysis and confirmation of the probability distribution condition information of the possible problems comprises:
analyzing the interval range of the online monitoring data of the current tailing pond;
and searching and acquiring the problem probability distribution condition information corresponding to the interval range of the online monitoring data of the current tailing pond from the corresponding condition of the problem probability distribution condition information corresponding to different interval ranges of the online monitoring data of the tailing pond.
6. The intelligent analysis method based on the online monitoring data of the tailing pond is characterized by further comprising the step of sending the probability distribution situation information of the possible problems to the terminal held by the responsible person in a manner inclined by the corresponding responsible person, wherein the step of sending the probability distribution situation information of the possible problems to the terminal held by the responsible person is as follows:
acquiring identity information of a responsible person;
whether the notification information is sent currently is analyzed based on the corresponding relation between the identity information of the responsible person and the importance degree of the concerned problem, the probability distribution condition information of the possible problems and the current working condition of the responsible person, wherein the importance degree comprises importance and general two states, and the current working condition of the responsible person comprises busy and idle.
7. The intelligent analysis method based on the online monitored data of the tailing pond of claim 6, wherein the analysis of whether the notification information is sent at present comprises:
inquiring and acquiring the attention degree condition of the attention problem of the corresponding identity information responsible person from the corresponding relation between the identity information of the responsible person and the attention degree of the attention problem;
analyzing and acquiring the probability of problems needing to be emphasized and the probability of general problems based on the probability distribution condition information of the possible problems and the attention degree condition of the problems concerned by corresponding identity information responsible persons;
if the probability of attaching importance to the problem exceeds a first preset probability, determining that the current time node is the time node for sending the notification information, and analyzing and determining the latest time node for feeding back and receiving the notification information by the responsible person based on the reaction duration of the responsible person;
if the probability of the problem needing to be taken into consideration is lower than the first preset probability and exceeds the second preset probability, determining that the current time node is the time node for sending the notification information;
if the probability of paying attention to the problem is lower than a second preset probability, analyzing and acquiring the current working condition of the responsible person;
if the responsible person is in a busy state, the responsible person does not make a notification, and the time node of the responsible person recovering the idle state is used as the time node for notifying the responsible person; otherwise, the current time node is confirmed to be the time node sending the notification information.
8. The intelligent analysis method based on the online monitoring data of the tailing pond of claim 7, wherein the analyzing and confirming the latest time node at which the notification information is received by the responsible person in feedback based on the reaction duration of the responsible person comprises:
analyzing and confirming the time length of the information which is received and fed back by the responsible person at the current time and under the current working state based on the corresponding relation of the response time lengths of the responsible person and the corresponding responsible person for receiving the notification information at different time periods and different working states;
and analyzing and acquiring the latest time node at which the notification information is received by the responsible person based on the current time node, the time length of receiving and feeding back the notification information by the responsible person in the current time period and the current working state and the preset time consumption for transmitting the notification information back and forth.
9. An intelligent analysis system based on online monitoring data of a tailings pond, which is characterized by comprising a memory, a processor and a program stored on the memory and capable of running on the processor, wherein the program can be loaded and executed by the processor to realize the intelligent analysis method based on the online monitoring data of the tailings pond according to any one of claims 1 to 8.
10. A computer storage medium, characterized in that it comprises a program which can be loaded and executed by a processor to implement the intelligent analysis method based on the online monitoring data of the tailings pond according to any one of claims 1 to 8.
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| US20240086589A1 (en) * | 2022-07-14 | 2024-03-14 | China Academy Of Safety Science And Technology | Early warning method for safety production risk of tailings pond based on risk ranking |
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| JP2009230665A (en) * | 2008-03-25 | 2009-10-08 | Panasonic Electric Works Co Ltd | Monitoring system of working state and monitoring apparatus of working state |
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| CN114118677A (en) * | 2021-10-13 | 2022-03-01 | 中通服和信科技有限公司 | Tailing pond risk monitoring and early warning system based on Internet of things |
| CN114117785A (en) * | 2021-11-24 | 2022-03-01 | 上海派拉软件股份有限公司 | Situation awareness realization method, device, equipment and medium |
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| US20240086589A1 (en) * | 2022-07-14 | 2024-03-14 | China Academy Of Safety Science And Technology | Early warning method for safety production risk of tailings pond based on risk ranking |
| US11954415B2 (en) * | 2022-07-14 | 2024-04-09 | China Academy Of Safety Science And Technology | Early warning method for safety production risk of tailings pond based on risk ranking |
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