CN111445670A - Geological disaster early warning system and method - Google Patents
Geological disaster early warning system and method Download PDFInfo
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- CN111445670A CN111445670A CN202010183160.XA CN202010183160A CN111445670A CN 111445670 A CN111445670 A CN 111445670A CN 202010183160 A CN202010183160 A CN 202010183160A CN 111445670 A CN111445670 A CN 111445670A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
Abstract
The invention relates to the technical field of geological disaster early warning, in particular to a geological disaster early warning system and a geological disaster early warning method. The system comprises a monitoring module, an evaluation module, a prevention module and an early warning module. The geological disaster early warning system acquires monitoring data such as geological in-vivo data and geological out-of-site data through the monitoring module, performs multi-factor and multi-angle evaluation through the geological disaster model to obtain an evaluation result, and sends the evaluation result to the reminding object when the evaluation result meets preset prevention and control conditions; when the evaluation result meets a preset early warning condition, sending the early warning information in the influence range; through the mode, the geological disaster early warning system improves the early warning accuracy and can guide the prevention and treatment work.
Description
Technical Field
The invention relates to the technical field of geological disaster early warning, in particular to a geological disaster early warning system and a geological disaster early warning method.
Background
Geological disasters are often related to severe weather in common geological disasters in mountainous and hilly areas of China, so that natural disasters such as landslides, debris flows, ground collapse or torrential flood outbreak are easy to occur in mountainous and hilly areas if rainfall is too large. . And once a serious geological disaster occurs, the life safety of people is greatly threatened, and meanwhile, a large amount of property loss is caused.
Geological disaster early warning among the prior art is mostly to gather geological information through the equipment that is fixed in ground and carry out the early warning, does not consider other potential influence factors, and the early warning precision is not high, and can't guide prevention and cure work.
Disclosure of Invention
The application provides a geological disaster early warning system and method, which can solve the problems that in the prior art, the early warning accuracy is not high, and the prevention and control work cannot be guided.
The invention provides a geological disaster early warning system, which comprises:
the monitoring module is used for acquiring monitoring data of each monitoring point in a monitoring area, wherein the monitoring data comprises geological in-vivo data, geological in-vitro data and biological activity data;
the evaluation module is used for inputting the monitoring data of each monitoring point in the monitoring area into a geological disaster model, evaluating the disaster type, the disaster grade and the influence range and generating the evaluation result of the monitoring area;
the control module is used for generating a control scheme and a responsibility main body when the evaluation result meets the preset control condition, and sending the control scheme to the responsibility main body;
and the early warning module is used for generating early warning information and an early warning range when the evaluation result accords with a preset early warning condition, and sending the early warning information to a management department in the early warning range.
Preferably, the monitoring module is further configured to:
acquiring a monitoring area according to the geological disaster prevention and control plan;
analyzing the geological structure, the terrain structure, the network environment and the traffic environment of the monitoring area to obtain each monitoring point of the monitoring area;
and establishing a real-time monitoring network based on multi-source fusion according to the monitoring equipment of each monitoring point and the type of the acquired data.
Preferably, the monitoring module comprises:
the sampling unit is used for collecting monitoring data of monitoring points in a monitoring area according to a preset monitoring frequency to obtain a monitoring data sequence which is continuous in time, wherein the preset monitoring frequency comprises at least two groups;
the sending unit is used for sending the monitoring data sequence to the evaluation module according to a preset sending frequency;
and the switching unit is used for receiving the control signal and switching the monitoring frequency in the sampling unit.
Preferably, the evaluation module is further configured to store historical intensity evaluation and potential intensity evaluation, and assist the geological disaster model in comparing the monitoring data to output an evaluation result of the monitored area.
Preferably, the evaluation module further comprises:
the coordinate registration unit is used for carrying out geographic coordinate registration on the monitoring data, the historical intensity evaluation and the potential intensity evaluation and inputting the registered monitoring data into the geological disaster model;
and the layer overlapping unit is used for overlapping the evaluation report and the basic digital map layer according to the position of the monitoring area so as to carry out dynamic display.
Preferably, the evaluation module is further configured to dynamically visually display the evaluation result, which includes simulating the evolution process and the development trend of the disaster.
Preferably, the control module is further configured to obtain treatment data within a preset time period after sending the treatment plan, and obtain a treatment effect evaluation according to the treatment data and the updated evaluation result.
Preferably, the early warning module includes:
the information generation unit is used for judging whether the disaster grade in the evaluation result meets a preset early warning condition or not, and generating corresponding early warning information according to the disaster type and the influence range when the disaster grade in the evaluation result meets the preset early warning condition;
the early warning management unit is used for acquiring a management department in the influence range from a stored emergency plan according to the early warning information and sending the early warning information to the management department;
and the early warning broadcasting unit is used for starting the corresponding broadcasting equipment to broadcast the early warning information based on the influence range.
Preferably, the early warning module further comprises:
the classification strategy unit is used for estimating the number of the devices to be notified by the user according to the influence range, acquiring a notification classification strategy according to the number and performing priority ranking on the notification devices according to the classification strategy;
and the early warning notification unit is used for sending the early warning information to the notification equipment according to the priority sequence.
The invention also provides a geological disaster early warning method, which comprises the following steps:
acquiring monitoring data of each monitoring point in a monitoring area, wherein the monitoring data comprises geological in-vivo data, geological in-vitro data and biological activity data;
inputting monitoring data of each monitoring point in a monitoring area into a geological disaster model, and evaluating the disaster type, the disaster grade and the influence range to generate an evaluation result of the monitoring area;
when the evaluation result meets the preset prevention and control conditions, generating a prevention and control scheme and a responsibility main body, and sending the prevention and control scheme to the responsibility main body;
and when the evaluation result accords with a preset early warning condition, generating early warning information and an early warning range, and sending the early warning information to a management department in the early warning range.
The geological disaster early warning system acquires monitoring data such as geological in-vivo data and geological out-of-site data through the monitoring module, performs multi-factor and multi-angle evaluation through the geological disaster model to obtain an evaluation result, and sends the evaluation result to the reminding object when the evaluation result meets preset prevention and control conditions; when the evaluation result meets a preset early warning condition, sending the early warning information in the influence range; through the mode, the geological disaster early warning system improves the early warning accuracy and can guide the prevention and treatment work.
Drawings
Fig. 1 is a schematic structural diagram of a geological disaster warning system according to a first embodiment of the present invention.
FIG. 2 is a hierarchy of latent factors for a model of a geological disaster in the system of the first embodiment of the present invention.
Fig. 3 is a schematic diagram of disaster level in the system according to the first embodiment of the present invention.
Fig. 4 is a schematic diagram of the GIS-based evaluation process in the system according to the first embodiment of the present invention.
Fig. 5 is a flowchart of a geological disaster warning method according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be described below clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first", "second" and "third" in this application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indications (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are only used to explain the relative positional relationship between the components, the movement, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indication is changed accordingly. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Fig. 1 is a schematic structural diagram of a geological disaster warning system according to a first embodiment of the present invention. As shown in fig. 1, the geological disaster warning system 100 includes: a monitoring module 10, an evaluation module 20, a control module 30, and a pre-alarm module 40.
The monitoring module 10 is configured to obtain monitoring data of each monitoring point in a monitoring area, where the monitoring data includes geological in-vivo data, geological in-vitro data, and biological activity data.
In this embodiment, one or more monitoring points are set in each monitoring area, and a monitoring sensor is disposed at each monitoring point to collect the data in the geologic body of the monitoring point, where the data in the geologic body may include, but is not limited to: displacement fields (deep fault displacement, ground subsidence displacement, slope displacement), ground stress fields (construction stress, self-weight stress), pore water pressure fields, water chemistry fields, acoustic wave fields, electromagnetic fields, and the like. Meanwhile, acquiring geologic in-vitro data of the monitoring points, wherein the geologic in-vitro data comprises but is not limited to: a combination of one or more of meteorological data (rainfall, freeze-thaw, etc.), bank erosion data, and human activity data. Further, biological activity data of the monitoring site may also be obtained, including but not limited to: animal abnormal data and group prevention group reporting information.
In the embodiment, the potential association among multi-source heterogeneous data is comprehensively considered from the perspective of big data thinking, starting from three aspects of geological in-vivo data, geological in-vitro data and biological activity data, and the comprehensiveness and integrity of data acquisition are improved.
In an alternative embodiment, the monitoring module 10 may collect the monitoring data according to a preset monitoring frequency, and transmit the collected monitoring data to the evaluation module 20 in real time. The predetermined monitoring frequency may be one week, one day, one hour, or 10 minutes.
In another alternative embodiment, the monitoring module 10 further comprises: the monitoring system comprises a sampling unit 101 and a sending unit 102, wherein the sampling unit 101 is used for collecting monitoring data of monitoring points in a monitoring area according to a preset monitoring frequency to obtain a continuous monitoring data sequence in time, and the preset monitoring frequency comprises at least two groups. The sending unit 102 is configured to send the monitoring data sequence to the evaluation module 20 according to a preset sending frequency. The preset monitoring frequency may be one week, one day, one hour or 10 minutes; the preset transmission frequency may be one week. That is, the monitoring module 10 can adjust the transmission frequency of the transmitting unit 102 to reduce the power consumption of the outdoor collection device. Further, the monitoring module 10 further includes a switching unit 104, configured to receive a control signal and switch the monitoring frequency in the sampling unit 101.
The monitoring module 10 further comprises a monitoring point obtaining unit 103, which is used for obtaining a monitoring area according to the geological disaster prevention and control plan, analyzing the geological structure, the terrain structure, the network environment and the traffic environment of the monitoring area to obtain each monitoring point of the monitoring area, and establishing a real-time monitoring network based on multi-source fusion according to the monitoring equipment and the collected data type of each monitoring point, wherein the geological disaster prevention and control plan comprises ① distribution of main disaster points, ② threat objects and ranges of geological disasters, ③ key prevention periods, ④ geological disaster prevention and control measures, ⑤ monitoring and prevention responsible persons of geological disasters, and particularly, the monitoring point obtaining unit 103 can set the monitoring points of the geological disasters according to comprehensive factors such as the geological structure and the terrain structure of the main disaster points in the geological disaster prevention and control plan, the network environment and the traffic convenience degree, and the like, so that the monitoring data are accurate and easy to transmit.
The evaluation module 20 is configured to input the monitoring data of the monitoring area into a geological disaster model, evaluate the disaster type, the disaster level, and the influence range, and generate an evaluation result of the monitoring area.
In this embodiment, the disaster types include landslide, debris flow, and ground collapse, and the collapse, landslide, debris flow, and ground collapse of the monitoring area may be evaluated according to the monitoring data, respectively.
In the embodiment, the constructed geological disaster model comprises a potential intensity evaluation model and a historical intensity evaluation model. The potential evaluation model is explained below by taking the hierarchical analysis evaluation model shown in fig. 2 as an example, where the first layer is provided with the following potential factors: geological condition A1, topographic condition A2, climatic vegetation condition A3 and artificial condition A4, the second layer is provided with the following potential factors: geological structure A11, rock-soil mass characteristics A12, groundwater activity A13, new structure movement A14 and karst development A15 corresponding to geological condition A1; a landform type a21, a relative elevation difference a22, and a hill slope a23 corresponding to the landform condition a 2; precipitation A31 and vegetation coverage A32 corresponding to climatic vegetation conditions A3; condition density a41 and vegetation damage a42 corresponding to artificial condition a 4. The weight of each potential factor is set according to the analysis result of historical geological disaster data, for example, a set of weights of the potential factors is set for collapsed geological disasters, a set of weights of the potential factors is set for landslide geological disasters, a set of weights of the potential factors is set for debris flows, and a set of weights of the potential factors is set for ground collapse.
In an alternative embodiment, the evaluation module 20 comprises: a history intensity evaluation unit 201, a potential intensity evaluation unit 202, and an evaluation result generation unit 203.
Specifically, the history intensity evaluation unit 201 is configured to evaluate each history factor according to the historical disaster data of the monitored area to obtain an evaluation value of each history factor corresponding to the disaster in the monitored area; and calculating the historical strength value of each historical factor according to the weight and the evaluation value of each historical factor. For example, in the present embodiment, three history factors are included, scale B1, density B2, and frequency B3, respectively. The weights of the historical factors are set according to the analysis result of the historical geological disaster data, for example, the weights of a set of historical factors are set for collapsed geological disasters, the weights of a set of historical factors are set for landslide geological disasters, the weights of a set of historical factors are set for debris flow, and the weights of a set of historical factors are set for ground collapse. When the historical intensity evaluation is performed, evaluation is performed for different disasters.
Specifically, the latent intensity evaluation unit 202 is configured to evaluate each latent factor according to monitoring data of a monitoring area to obtain an evaluation value of each latent factor corresponding to a disaster in the monitoring area; and calculating the potential strength value of the potential factor according to the weight and the evaluation value of each potential factor. When the potential intensity is evaluated, evaluation is performed for different disasters. Further, in conjunction with the hierarchical diagram shown in fig. 2, the potential strength evaluation unit 202 is configured to: firstly, evaluating each second-layer potential factor of the first-layer potential factors according to monitoring data of a monitoring area to obtain an evaluation value of each second-layer potential factor of the first-layer potential factors of the monitoring area; then, calculating the evaluation value of the first layer of potential factors according to the weight and the evaluation value of each second layer of potential factors; and finally, calculating the potential intensity value of the potential factor according to the weight and the evaluation value of each first-layer potential factor. It should be noted that each latent factor may correspond to one or more or all of the monitoring data, and each monitoring data corresponding to the latent factor needs to be considered when obtaining the evaluation value of the latent factor, for example, the monitoring data includes: displacement fields, ground stress fields, pore water pressure fields, water chemistry fields, acoustic wave fields, electromagnetic fields, rainfall, freeze-thaw, bank erosion data, human activity data, animal anomaly data, and crowd defense reporting information, wherein the displacement fields, ground stress fields, pore water pressure fields, water chemistry fields, acoustic wave fields, electromagnetic fields are associated with geological structure a11, geotechnical body characteristics a12, groundwater activity a13, new tectonic movement a14, and karst development a15, and data of displacement fields, ground stress fields, pore water pressure fields, hydration fields, acoustic wave fields, electromagnetic fields can be used to evaluate geological structure a11, geotechnical body characteristics a12, groundwater activity a13, new tectonic movement a14, and karst development a 15.
Specifically, the evaluation result generating unit 203 is configured to calculate a risk index corresponding to the monitored area according to the historical intensity value and the potential intensity value, determine a disaster level according to the risk index, and determine an influence range according to the disaster level to generate the evaluation result. In this embodiment, different disaster levels correspond to different subsequent processing strategies, the disaster level is as shown in fig. 3, and a level "0" indicates no disaster and no processing is required; the level "I" corresponds to a control strategy; levels "II", "III", and "IV" correspond to early warning strategies. For example, a risk index threshold value may be set for each level, with levels "I", "II", "III", and "IV" corresponding to a first threshold value, a second threshold value, a third threshold value, and a fourth threshold value, respectively, for which the risk index is less than the first threshold value, corresponding to a level "0"; the risk index is greater than or equal to the first threshold and less than the second threshold, corresponding to a level "I"; the risk index is greater than or equal to the second threshold and less than the third threshold, corresponding to level "II"; the risk index is greater than or equal to the third threshold and less than the fourth threshold, corresponding to level "III"; the hazard index is greater than or equal to the fourth threshold, corresponding to level "IV".
Further, the evaluation module 20 is further configured to store the historical intensity evaluation and the potential intensity evaluation, assist the geological disaster model to compare the monitoring data, and output an evaluation result of the monitoring area.
In another optional manner, the evaluation module 20 is further configured to dynamically visually display the evaluation result, including simulating an evolution process and a development trend of a disaster, and specifically, the evaluation module 20 further includes a coordinate registration unit 204 and a layer overlay unit 205, where the coordinate registration unit 204 is configured to perform geographic coordinate registration on the monitoring data, the historical intensity evaluation and the potential intensity evaluation, and input the registered monitoring data into the geological disaster model. The layer overlapping unit 205 is configured to perform an overlapping process on the evaluation report and the basic digital map layer according to the position of the monitored area, so as to perform dynamic display. Further, the layer overlaying unit 205 may also overlay evaluation data with the basic digital map layer according to the position of the monitored area, where the evaluation data is the historical data or the evaluation result or the historical intensity value of the historical factor or the potential intensity value of the potential factor or the evaluation value of any one of the historical factors or the evaluation value of any one of the potential factors. The layer overlaying unit 205 may visually display the evaluation result and the intermediate evaluation process result.
In an alternative embodiment, the above evaluation process may be visualized in conjunction with a GIS. In the visualization process, the basic display module is as shown in fig. 4, and the topographic and geomorphic special area map, the climatic vegetation special area map and the geological condition special area map are respectively formed by overlapping with the basic digital map layer according to topographic and geomorphic data, climatic vegetation data and geological condition data of different monitoring areas so as to visually display the natural condition data of the different monitoring areas; the ground collapse distribution map, the landslide distribution map, the collapse distribution map and the debris flow distribution map are formed by respectively overlapping the ground collapse historical data, the landslide historical data, the collapse historical data and the debris flow historical data of different monitoring areas with the basic digital map layer so as to visually display different types of disaster historical data of different monitoring areas; then, carrying out GIS space analysis on the graphs, and extracting the historical factors and the potential factors; subsequently, in the geological disaster model operation process, the intermediate data in the evaluation process can also be visually displayed, for example, the evaluation value of a certain disaster type of the topographic and topographic condition partition map in the potential intensity partition map, which is the topographic condition a2 of different monitoring areas, is superposed with the basic digital map layer, and the evaluation value of the scale B1 of the certain disaster type of the historical scale partition map in the historical intensity partition map is not superposed with the basic digital map layer; and finally, visualizing the danger indexes of different monitoring areas, wherein a danger degree partition map is formed by overlapping the danger indexes of certain disaster types of different monitoring areas with the basic digital map layer.
The prevention and control module 30 is configured to generate a prevention and control scheme and a responsibility main body when the evaluation result meets a preset prevention and control condition, and send the prevention and control scheme to the responsibility main body.
In this embodiment, the responsible party is the responsible person of the disaster type in the monitoring area, and after receiving the evaluation result, the responsible party performs prevention and treatment. In an optional embodiment, the control module 30 further comprises a follow-up unit 301, wherein the follow-up unit 301 is configured to obtain the treatment data within a predetermined time period after sending the treatment plan, and obtain the treatment effect evaluation according to the treatment data and the updated evaluation result. For example, the preset period of time may be 1 day, 5 days, or 7 days.
Specifically, for example, the real-time monitoring data of the monitoring area a changes due to continuous rainfall, but the real-time monitoring data does not reach the early warning level of landslide, a corresponding responsible person may adopt a treatment means of adding an active protection system for reinforcement or a passive protection system for preventing a collapsed rock soil body from falling, and the like, and specific parameters in the treatment means form treatment data.
The early warning module 40 is configured to generate early warning information and an early warning range when the evaluation result meets a preset early warning condition, and send the early warning information to a management department within the early warning range.
In this embodiment, the early warning module 40 is used to achieve the early warning integration targets of longitudinal bottom and lateral side. For example, taking the urban geological disaster warning system as an example, the longitudinal end is upward butted with the national and provincial platforms and downward extended to counties, towns and villages, so as to solve the dilemma of 'the last kilometer, one hour of the key' of warning information release. The transverse arrival is to be butted with early warning information interfaces of all emergency units in the whole city, a platform for sharing information resources of departments such as weather, three prevention, earthquake and emergency is built, emergency platforms and video monitoring of the departments such as earthquake, maritime affairs, electric power, public security and emergency are accessed at the same time, a multi-element cooperative early warning information system and a supporting platform are built, the interconnection and intercommunication of early warning information are realized, and the unified command and scheduling of command departments are facilitated.
In an optional embodiment, the early warning module 40 further includes: the system comprises an information generation unit 401, an early warning management unit 402, an early warning broadcast unit 403, a grading strategy unit 404 and an early warning notification unit 405, wherein the information generation unit 401 is configured to determine whether a disaster grade in the evaluation result meets a preset early warning condition, and when the disaster grade meets the preset early warning condition, generate corresponding early warning information according to the disaster type and the influence range; the early warning management unit 402 is configured to acquire a management department within the influence range from a stored emergency plan according to the early warning information, and send the early warning information to the management department; the early warning broadcasting unit 403 is configured to start a corresponding broadcasting device to broadcast early warning information based on the influence range; the classification policy unit 404 estimates the number of the devices to be notified according to the influence range, obtains a notification classification policy according to the number, and performs priority ordering on the notification devices according to the classification policy; the warning notification unit 405 is configured to send the warning information to the notification device according to the priority order.
Specifically, the early warning notification module 405 may be in communication connection with a network interface device in the monitoring area, and send early warning information to each notification device through the network interface device, where the network interface device includes a base station, a broadcast station, a cloud server, and the like, and the communication unit 402 directionally pushes the early warning information through a television, a microblog, a broadcast, a short message, a WeChat, and the like in the influence range. The early warning notification unit 405 can accurately push the early warning information to each user within the influence range through (1) administrative positioning modes such as household registration information, (2) outdoor positioning technologies such as satellite positioning and base station positioning, and (3) indoor positioning technologies such as WIFI positioning, RFID positioning, visual positioning, infrared positioning and ultrasonic positioning. The pushed objects include users who are currently in the influence range, users who are frequently active in the influence range, and users who have appeared in the influence range.
In this embodiment, the ranking policy unit 404 acquires a ranking policy according to the acquired number of notification devices, ranks the notification devices according to the ranking policy, and transmits the warning information to the notification devices in order of priority from high to low. For example, when the number of notification devices exceeds a preset number threshold and the pushing capability of the service operator is insufficient, in order to preferentially ensure life safety, the early warning information is preferentially sent to the permanent users to be evacuated, then the early warning information is sent to the users who are frequently moving in the influence range, and then the early warning information is sent to the users who are once present in the influence range.
With the continuous presentation of the traditional disaster early warning drawbacks and the corresponding trend that big data increasingly becomes a new disaster early warning, the concept of the geological disaster early warning system based on multi-source heterogeneous big data of the embodiment of the invention has the following advantages: (1) on the data acquisition level, a monitoring network based on various information sources is established through a monitoring module to form full-sample, full-element and all-dimensional acquisition, and the aim of improving the integrity of data is fulfilled; (2) on the data analysis level, the structural conversion and the complex correlation analysis of multi-source heterogeneous data are carried out through an evaluation module, and the accuracy of prediction is improved; (3) in the aspect of data application, daily prevention and treatment are carried out through a prevention and treatment module, and a treatment result is fed back to a model for closed-loop treatment of result correction; (4) in the aspect of early warning processing, personalized early warning service of replacing administrative early warning with Internet plus early warning, replacing fuzzy early warning with accurate early warning and replacing lag notification with rapid early warning is realized through the early warning module.
Fig. 5 is a flowchart illustrating a geological disaster warning method according to a second embodiment of the present invention. It should be noted that the method of the present invention is not limited to the flow sequence shown in fig. 5 if the results are substantially the same. As shown in fig. 5, the geological disaster early warning method includes the steps of:
s201, acquiring monitoring data of each monitoring point in the monitoring area, wherein the monitoring data comprises geological in-vivo data, geological in-vitro data and biological activity data.
S202, inputting the monitoring data of each monitoring point in the monitoring area into a geological disaster model, evaluating the disaster type, the disaster grade and the influence range, and generating the evaluation result of the monitoring area.
And S203, when the evaluation result meets the preset prevention and control conditions, generating a prevention and control scheme and a responsibility main body, and sending the prevention and control scheme to the responsibility main body.
And S204, when the evaluation result meets the preset early warning condition, generating early warning information and an early warning range, and sending the early warning information to a management department in the early warning range.
Because the principle of solving the problems of the geological disaster early warning method of the embodiment is similar to that of the geological disaster early warning system, the implementation of the geological disaster early warning method can be referred to the implementation of the geological disaster early warning system, and repeated parts are not repeated.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A geological disaster early warning system, characterized in that the early warning system comprises:
the monitoring module is used for acquiring monitoring data of each monitoring point in a monitoring area, wherein the monitoring data comprises geological in-vivo data, geological in-vitro data and biological activity data;
the evaluation module is used for inputting the monitoring data of each monitoring point in the monitoring area into a geological disaster model, evaluating the disaster type, the disaster grade and the influence range and generating the evaluation result of the monitoring area;
the control module is used for generating a control scheme and a responsibility main body when the evaluation result meets the preset control condition, and sending the control scheme to the responsibility main body;
and the early warning module is used for generating early warning information and an early warning range when the evaluation result accords with a preset early warning condition, and sending the early warning information to a management department in the early warning range.
2. The geological disaster early warning system of claim 1, wherein the monitoring module is further configured to:
acquiring a monitoring area according to the geological disaster prevention and control plan;
analyzing the geological structure, the terrain structure, the network environment and the traffic environment of the monitoring area to obtain each monitoring point of the monitoring area;
and establishing a real-time monitoring network based on multi-source fusion according to the monitoring equipment of each monitoring point and the type of the acquired data.
3. The geological disaster early warning system of claim 1, wherein the monitoring module comprises:
the sampling unit is used for collecting monitoring data of monitoring points in a monitoring area according to a preset monitoring frequency to obtain a monitoring data sequence which is continuous in time, wherein the preset monitoring frequency comprises at least two groups;
the sending unit is used for sending the monitoring data sequence to the evaluation module according to a preset sending frequency;
and the switching unit is used for receiving the control signal and switching the monitoring frequency in the sampling unit.
4. The geological disaster early warning system as claimed in claim 1, wherein the evaluation module is further configured to store historical intensity evaluation and potential intensity evaluation, and assist the geological disaster model to compare the monitoring data to output the evaluation result of the monitoring area.
5. The geological disaster early warning system of claim 4, wherein the evaluation module further comprises:
the coordinate registration unit is used for carrying out geographic coordinate registration on the monitoring data, the historical intensity evaluation and the potential intensity evaluation and inputting the registered monitoring data into the geological disaster model;
and the layer overlapping unit is used for overlapping the evaluation report and the basic digital map layer according to the position of the monitoring area so as to carry out dynamic display.
6. The geological disaster early warning system as claimed in claim 4 or 5, wherein the evaluation module is further configured to dynamically and visually display the evaluation result, wherein the evaluation result comprises the evolution process and the development trend of the simulated disaster.
7. The geological disaster early warning system as claimed in claim 1, wherein the prevention module is further configured to obtain treatment data within a preset time period after sending the treatment plan, and obtain an evaluation of treatment effect according to the treatment data and the updated evaluation result.
8. The geological disaster early warning system of claim 1, wherein the early warning module comprises:
the information generation unit is used for judging whether the disaster grade in the evaluation result meets a preset early warning condition or not, and generating corresponding early warning information according to the disaster type and the influence range when the disaster grade in the evaluation result meets the preset early warning condition;
the early warning management unit is used for acquiring a management department in the influence range from a stored emergency plan according to the early warning information and sending the early warning information to the management department;
and the early warning broadcasting unit is used for starting corresponding broadcasting equipment to broadcast early warning information based on the influence range.
9. The geological disaster early warning system of claim 8, wherein the early warning module further comprises:
the classification strategy unit is used for estimating the number of the devices to be notified by the user according to the influence range, acquiring a notification classification strategy according to the number and performing priority ranking on the notification devices according to the classification strategy;
and the early warning notification unit is used for sending the early warning information to the notification equipment according to the priority sequence.
10. A geological disaster early warning method is characterized by comprising the following steps:
acquiring monitoring data of each monitoring point in a monitoring area, wherein the monitoring data comprises geological in-vivo data, geological in-vitro data and biological activity data;
inputting monitoring data of each monitoring point in a monitoring area into a geological disaster model, evaluating the disaster type, the disaster grade and the influence range, and generating an evaluation result of the monitoring area;
when the evaluation result meets the preset prevention and control conditions, generating a prevention and control scheme and a responsibility main body, and sending the prevention and control scheme to the responsibility main body;
and when the evaluation result meets the preset early warning condition, generating early warning information and an early warning range, and sending the early warning information to a management department in the early warning range.
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