Abnormal area detection method, system and device, processor and program product
By introducing data processing units and sensor array units into geological anomaly detectors to collect and analyze geological data, the problem of inaccurate identification of geological anomalies in the prior art is solved, and accurate identification and early warning of geological anomalies are achieved.
Patent Information
- Application Number
- CN202411486934.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-23
- Publication Date
- 2025-02-07
AI Technical Summary
Existing geological anomaly detectors cannot accurately and quickly identify geological diseases, resulting in the inability to accurately judge geological anomalies.
By introducing data processing units and sensor array units into the geological anomaly detector, geological data are collected, geological types are determined, standard geological data are retrieved for comparison, and abnormal areas are determined.
Accurate identification of geological abnormalities is achieved, which can effectively prevent the geological abnormalities detector from being unable to accurately identify geological abnormalities, and improve the accuracy and efficiency of geological disease detection.
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Figure CN119395257A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of geological identification, and in particular to a method, system, device, processor and program product for detecting an abnormal area. Background Art
[0002] At present, when conducting geological disease detection work, geological anomaly detection is usually used for detection. However, most of the current geological anomaly detectors cannot accurately and quickly identify the types of geological diseases, and there is a technical problem that they cannot accurately judge geological anomalies.
[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention
[0004] The embodiments of the present invention provide a method, system, device, processor and program product for detecting an abnormal area, so as to at least solve the technical problem that geological anomalies cannot be accurately determined.
[0005] According to one aspect of an embodiment of the present invention, a method for detecting an abnormal area is provided, which may include: determining a target area for underground power work; in response to a start-up instruction, turning on a geological anomaly detector, and controlling the geological anomaly detector to collect geological data of the target area; determining the geological type of the geological body in the target area based on the geological data; retrieving standard geological data corresponding to the geological type, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged; comparing the geological data with the standard geological data to obtain a comparison result; and determining the abnormal area in the target area based on the comparison result.
[0006] Optionally, the geological data includes at least one of the following: temperature data, humidity data, displacement data and the number of seismic waves.
[0007] Optionally, based on the geological data, the geological type of the geological body in the target area is determined, including: summarizing the temperature data, humidity data, displacement data and the number of seismic waves to obtain geological summary data; filtering the geological summary data to obtain filtered data; identifying the filtered data to obtain the geological type.
[0008] Optionally, based on the comparison results, determining abnormal areas in the target area includes: determining abnormal data in the geological data based on the comparison results; evaluating the abnormal data to obtain evaluation results, wherein the evaluation results are used to characterize whether there are geological hazards in the sub-target area, and the target area includes multiple sub-target areas; determining the abnormal area based on the evaluation results.
[0009] Optionally, determining the abnormal area based on the evaluation result includes: in response to the evaluation result being used to characterize the existence of geological hazards in the sub-target area, determining the sub-target area corresponding to the abnormal result as the abnormal area.
[0010] Optionally, the method may further include: sending a warning signal in response to the presence of an abnormal area in the target area.
[0011] Optionally, the method may further include: predicting the geological data to obtain the geological data of the geological body at a future time.
[0012] Optionally, the method may further include: determining whether there is an abnormal area in the geological body at the future moment based on geological data at the future moment; and sending an early warning signal in response to the presence of an abnormal area in the geological body at the future moment.
[0013] According to another aspect of an embodiment of the present invention, a system for detecting abnormal areas is also provided, which system may include: a geological monitor for collecting geological data of a target area in response to a start-up instruction, wherein the target area is an area where underground power work is performed; a data processing unit for determining the geological type of the geological body in the target area based on the geological data; retrieving standard geological data corresponding to the geological type; comparing the geological data with the standard geological data to obtain a comparison result; and determining the abnormal area in the target area based on the comparison result, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged.
[0014] Optionally, the geological monitor is connected to a sensor array unit, in which a real-time temperature monitoring module, an environmental humidity sensing module, an instrument displacement monitoring module and a seismic wave monitoring module are arranged and distributed.
[0015] According to another aspect of an embodiment of the present invention, a device for detecting an abnormal area is also provided, and the device may include: a first determination unit, used to determine a target area for underground power work; a processing unit, used to turn on a geological anomaly detector in response to a start-up instruction, and control the geological anomaly detector to collect geological data of the target area; a second determination unit, used to determine the geological type of the geological body in the target area based on the geological data; a retrieval unit, used to retrieve standard geological data corresponding to the geological type, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged; a comparison unit, used to compare the geological data with the standard geological data to obtain a comparison result; and a third determination unit, used to determine the abnormal area in the target area based on the comparison result.
[0016] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, which includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the abnormal area detection method of the embodiment of the present invention.
[0017] According to another aspect of an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run by the processor, the abnormal area detection method of the embodiment of the present invention is executed.
[0018] According to another aspect of an embodiment of the present invention, a program product is further provided. The program product includes computer instructions. When the computer instructions are executed by a processor, the abnormal area detection method of the embodiment of the present invention is implemented.
[0019] In an embodiment of the present invention, a target area for underground power work is determined; in response to a start-up instruction, a geological anomaly detector is turned on, and the geological anomaly detector is controlled to collect geological data of the target area; based on the geological data, the geological type of the geological body in the target area is determined; standard geological data corresponding to the geological type is retrieved, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged; the geological data and the standard geological data are compared to obtain a comparison result; based on the comparison result, the abnormal area in the target area is determined. That is, in an embodiment of the present invention, the geological anomaly detector is used to control the collection of geological data, the geological type is determined based on the geological data, the standard geological data corresponding to the pre-stored geological type is retrieved, and the geological data is judged by the standard geological data to determine the abnormal area of the target area, thereby solving the technical problem of being unable to accurately determine geological anomalies and achieving the technical effect of accurately determining geological anomalies. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:
[0021] Figure 1 is a flow chart of a method for detecting an abnormal area according to an embodiment of the present invention;
[0022] Figure 2 is a schematic diagram of a detection system for an abnormal area according to an embodiment of the present invention;
[0023] Figure 3 is a schematic diagram of a geological anomaly detection system caused by a disease in an underground power project according to an embodiment of the present invention;
[0024] Figure 4is a schematic diagram of a data acquisition unit according to an embodiment of the present invention;
[0025] Figure 5 is a schematic diagram of a data processing unit according to an embodiment of the present invention;
[0026] Figure 6 is a schematic diagram of a detection device for an abnormal area according to an embodiment of the present invention. DETAILED DESCRIPTION
[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.
[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0029] Example 1
[0030] According to an embodiment of the present invention, an embodiment of a method for detecting an abnormal area is provided, and the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0031] In this embodiment, a method for detecting abnormal areas is proposed. The method can control the collection of geological data through a geological anomaly detector, determine the geological type based on the geological data, retrieve the standard geological data corresponding to the pre-stored geological type, and judge the geological data through the standard geological data to determine the abnormal area of the target area, thereby solving the technical problem of being unable to accurately determine geological anomalies and achieving the technical effect of accurately determining geological anomalies.
[0032] Figure 1 FIG. 1 is a flow chart of a method for detecting an abnormal area according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:
[0033] Step S102, determining a target area for underground power work.
[0034] In the technical solution provided in the above step S102 of the present invention, the target area for underground power work can be determined. The underground power work can be work related to underground power engineering, and can refer to the installation, maintenance and repair of power facilities underground, for example, it can be underground cable laying, underground power distribution station construction, repair and other work. It should be noted that this is only for example, and there is no specific restriction on the type of underground power work. The target area can refer to the area where underground power engineering is carried out, and can be the area that needs to be monitored.
[0035] Optionally, when conducting geological disaster monitoring, the target area for underground power work can be determined first, and the target area can be monitored to determine the impact of the underground power work on the geology.
[0036] Step S104, in response to the start instruction, start the geological anomaly detector, and control the geological anomaly detector to collect geological data of the target area.
[0037] In the technical solution provided in the above step S104 of the present invention, when the start instruction is turned on, in response to the start instruction, the geological anomaly detector can be turned on, and the geological anomaly detector can be controlled to collect geological data of the target area. Among them, the start instruction can be triggered by the user and can be used to control the start of the geological anomaly detector. The geological anomaly detector can be used to detect geology, and can be a device for monitoring geological anomaly changes on the surface or underground of the earth. It can detect geological anomalies by measuring ground deformation, seismic activity, groundwater level changes, etc. It can include various sensors and monitoring equipment, or it can also be a simple ground observation and monitoring station. Geological data can be used to determine the state of the geological body, and can be used to determine the discontinuous interface of the geological body or the interface of different geological bodies, the sudden change of the internal and external characteristics of the geological body or the prominent change position, the anomaly of various geological bodies or the same geological body with different attribute combinations per unit area or volume, the embedding of geological bodies of different genesis, and the geological body with different evolutionary histories, etc. It can include temperature data, humidity data, displacement data, and the number of seismic waves, etc. It should be noted that this is only for example, and the type of geological anomaly detector and the type of geological data are not specifically limited.
[0038] Optionally, the output terminal of the geological anomaly detector is connected to a starting power supply, the output terminal of the starting power supply is connected to a central processing unit, the output terminal on the left side of the central processing unit is bidirectionally electrically connected to a remote control module, and the output terminal at the bottom of the central processing unit is bidirectionally electrically connected to a sensor array unit. By turning on the geological anomaly detector, the sensor array unit can be further controlled to collect geological data.
[0039] For example, the power supply is triggered by the user (i.e., the user) to output a start instruction. In response to the start instruction, the geological anomaly detector can be controlled to be turned on. Further, the geological anomaly detector controls the start of the central processor. The central processor can perform remote control work through the remote control module, and can also perform control work through the user interface and visualization platform. The central processor can further control the sensor array unit to start up and perform sensor receiving work, and perform signal receiving work through sensors with different distributions to collect geological data.
[0040] Step S106: determining the geological type of the geological body in the target area based on the geological data.
[0041] In the technical solution provided in the above step S106 of the present invention, the geological data can be judged to determine the geological type of the geological body in the target area. The geological type may include igneous rock, sedimentary rock and metamorphic rock, as well as special geological types, such as volcanic rock, tectonic rock and igneous rock. The geological body may refer to a geological unit with a certain scale and specific geological properties in the target area, which may be a rock body, a mineral deposit, a fault zone, a stratum, etc.
[0042] For example, geological data can be used to determine the composition and structure of rock samples in a geological body to determine whether the lithology type of the geological body is granite, gneiss, sandstone, etc. Alternatively, geological data can be used to determine the distribution and thickness of rock layers in a geological body to determine the geological type, such as whether it is a structural geological body such as a fault or a fold. Alternatively, geological data can be used to determine the geological structure map and seismic exploration data of a geological body to determine the structural type of the geological body, such as whether it is a fold, a fault, or igneous rock. For another example, geological data can be used in combination with geophysical exploration data, such as gravity, magnetic force, etc., to determine the physical properties of the geological body, such as density, magnetic susceptibility, etc., and then the geological type can be determined based on the physical properties.
[0043] It should be noted that this is only an example and does not impose specific restrictions on geological types or the method of determining geological types.
[0044] Step S108, retrieve standard geological data corresponding to the geological type.
[0045] In the technical solution provided in the above step S108 of the present invention, standard geological data corresponding to the geological type can be retrieved, wherein the standard geological data can be pre-acquired and stored, and can be used to characterize the geological data corresponding to the original geological body that has not been damaged.
[0046] Optionally, standard geological data corresponding to different geological types are pre-determined through geological mining and other operations. After the geological data of the target area is acquired, the geological type of the geological body in the target area can be determined based on the geological data, and the pre-stored standard geological data corresponding to the geological type can be retrieved. The geological data can be further judged by the standard geological data to determine the geological conditions of the geological body.
[0047] Step S110, comparing the geological data with the standard geological data to obtain a comparison result.
[0048] In the technical solution provided in the above step S110 of the present invention, the geological data and the standard geological data can be compared to obtain a comparison result, wherein the comparison result can be used to characterize the difference between the geological data and the standard geological data.
[0049] For example, the output endpoint of the data processing unit can be connected to a data transmission module and a data comparison module, and the geological data and the standard geological data can be obtained through the data transmission module, and the obtained data can be transmitted to the data comparison module, and the geological data and the standard geological data can be compared through the data comparison module to obtain a comparison result. It should be noted that the above is only an example, and there is no specific limitation on the comparison method of geological data and standard geological data.
[0050] Step S112: determining the abnormal area in the target area based on the comparison result.
[0051] In the technical solution provided in the above step S112 of the present invention, an abnormal area in the target area can be determined based on the comparison result, wherein the abnormal area can be an area with geological anomalies or an area with geological hazards.
[0052] Optionally, the greater the difference between the geological data and the standard geological data in the comparison result, the greater the possibility that there are geological hazards in the target area. Therefore, based on the comparison result, it can be determined that there are abnormal areas with geological hazards or anomalies in the target area.
[0053] Alternatively, during the construction and operation of underground power works, the groundwater level, the stress state of underground rock and soil, the chemical conditions of the groundwater body and underground rock and soil, etc. may be affected, thereby causing geological anomalies. Therefore, during the construction and operation of underground power projects, it is necessary to fully survey the geological conditions, or after the construction is completed, it is also necessary to survey the geological conditions. If there are abnormal areas in the target area, the abnormal areas can be repaired in time.
[0054] Since a geological anomaly detector is needed when detecting the disease of the geological body in the target area, most of the geological anomaly detectors currently cannot accurately and quickly identify the type of geological disease, which results in the inability to quickly take effective measures to deal with the geological disease, affecting the normal use of the geological anomaly detector and failing to bring convenience to the user. Therefore, in order to solve the above problem, in this embodiment, the geological anomaly detector is designed and modified, and a data processing unit and a sensor array unit are provided. The geological anomaly detector controls the sensor array unit to collect geological data, and the geological data collected by the sensor array unit is obtained through the data processing unit. Based on the geological data, the geological type of the geological body in the target area is determined, and the standard geological data corresponding to the geological type is retrieved, and the geological data and the standard geological data are compared through the comparison unit to obtain the comparison result. Based on the comparison result, the abnormal area in the target area can be determined, thereby effectively preventing the technical problem that the geological anomaly detector cannot accurately and quickly identify the geological anomaly, and achieving the technical effect that the geological anomaly detector can determine the abnormal area.
[0055] Through the above steps S102 and S112 of the present invention, the target area for underground power work is determined; in response to the start instruction, the geological anomaly detector is turned on, and the geological anomaly detector is controlled to collect geological data of the target area; based on the geological data, the geological type of the geological body in the target area is determined; standard geological data corresponding to the geological type is retrieved, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged; the geological data and the standard geological data are compared to obtain a comparison result; based on the comparison result, the abnormal area in the target area is determined. That is to say, in the embodiment of the present invention, the geological anomaly detector is used to control the collection of geological data, the geological type is determined based on the geological data, the standard geological data corresponding to the pre-stored geological type is retrieved, and the geological data is judged by the standard geological data to determine the abnormal area of the target area, thereby solving the technical problem of being unable to accurately determine the geological anomaly and achieving the technical effect of accurately determining the geological anomaly.
[0056] The above method of this embodiment is further introduced below.
[0057] As an optional implementation, the geological data includes at least one of the following: temperature data, humidity data, displacement data and the number of seismic waves.
[0058] In this embodiment, the geological data may include at least one of the following: temperature data, humidity data, displacement data, and the number of seismic waves. Among them, the temperature data can be used to represent the distribution of heat in the geological body, or the distribution of hydrothermal activities or geothermal resources that may exist in the geological body. The humidity data can be used to represent the distribution of groundwater in the geological body, for example, it can include the change of groundwater level and the direction of groundwater flow. The displacement data can be used to represent the deformation of underground rocks in the geological body, for example, it can include the displacement of rock formations caused by seismic activities. The number of seismic waves can be used to represent the degree of seismic activity of underground rock formations in the geological body, and the possible seismic hazard.
[0059] Optionally, the embodiment provides a sensor array unit, which includes a real-time temperature monitoring module, an environmental humidity sensing module, an instrument displacement module and a seismic wave monitoring module. The temperature data in the geological data can be collected through the real-time temperature monitoring module; the humidity data in the geological data can be collected through the environmental humidity sensing module; the displacement data in the geological data can be collected through the instrument displacement module; and the seismic wave quality in the geological data can be collected through the seismic wave monitoring module.
[0060] In this embodiment, by providing a sensor array unit, the sensors can be arranged and distributed, thereby improving the working efficiency of the sensors and achieving the purpose of improving the accuracy of the acquired geological data.
[0061] As an optional implementation, based on geological data, the geological type of the geological body in the target area is determined, including: summarizing temperature data, humidity data, displacement data and the number of seismic waves to obtain geological summary data; filtering the geological summary data to obtain filtered data; identifying the filtered data to obtain the geological type.
[0062] In this embodiment, temperature data, humidity data, displacement data and the number of seismic waves can be collected respectively by different sensors in the sensor array unit. When determining the geological type, the collected temperature data, humidity data, displacement data and the number of seismic waves can be summarized to obtain geological summary data. In order to filter out invalid data in the geological summary data, the geological summary data can be filtered and cleaned to obtain filtered data; further, the filtered data can be identified to determine the geological type.
[0063] Optionally, the embodiment provides a data acquisition unit, which is connected to the sensor array unit and can obtain the geological data collected in the sensor array unit. The data acquisition unit may include a data summary module, a noise filtering module and a signal extraction module. The different types of geological data collected can be summarized by the data summary module to obtain geological summary data. The geological summary data can be filtered and cleaned by the noise filtering module to eliminate invalid data in the geological summary data to obtain filtered data. The filtered data is extracted by the signal extraction module. The extracted filtered data is identified to obtain the geological type.
[0064] In this embodiment, the geological data is obtained by receiving signals through sensors with different distributions. The geological data is extracted and processed by the data acquisition unit, and the data is received and stored. The geological type is determined by judging the stored data. This embodiment can process the collected geological data and increase the extraction efficiency of the geological data through the setting of the data acquisition unit.
[0065] As an optional implementation, step S112, based on the comparison results, determines the abnormal area in the target area, including: based on the comparison results, determining the abnormal data in the geological data; evaluating the abnormal data to obtain an evaluation result, wherein the evaluation result is used to characterize whether there is a geological disease in the sub-target area, and the target area includes multiple sub-target areas; determining the abnormal area based on the evaluation result.
[0066] In this embodiment, the comparison result between the geological data and the standard geological data is determined, and based on the comparison result, the abnormal data in the geological data can be determined; the abnormal data is evaluated for damage, and an evaluation result can be obtained. Further, the abnormal area can be determined based on the evaluation result. The evaluation result can be used to characterize whether there is a geological disease in the sub-target area. The target area includes multiple sub-target areas. The above-mentioned abnormal data can be data in the comparison result that has a large difference from the standard geological data.
[0067] Optionally, the embodiment further provides a data processing unit and a work processing unit connected to the data processing unit. The data processing unit may include a data transmission module and a data comparison module. The work processing unit may include an anomaly detection module, a pattern recognition module, a geological hazard prediction module and a geological hazard assessment module.
[0068] Optionally, the data transmission module can be connected to the data acquisition unit, and the filtered data extracted by the data acquisition unit can be transmitted to the data comparison module through the data transmission module, and the extracted filtered data is compared with the standard geological data to obtain a comparison result, and the comparison result is transmitted to the work processing unit. The abnormal data in the geological data is determined based on the comparison result by the abnormal detection unit in the work processing unit, for example, the geological data with a large difference in the comparison result can be determined. The abnormal data is evaluated for disease by the geological disease assessment module to obtain an evaluation result to determine the abnormal area with geological diseases in the target area. Furthermore, the abnormal type of the abnormal area can be identified by the pattern recognition module to complete further analysis of the abnormal area. The future situation of the geological body can be predicted based on the geological data by the geological disease prediction module.
[0069] As an optional implementation, determining the abnormal area based on the evaluation result includes: in response to the evaluation result being used to characterize the presence of geological hazards in the sub-target area, determining the sub-target area corresponding to the abnormal result as the abnormal area.
[0070] In this embodiment, it is determined whether the evaluation result is used to characterize the presence of geological hazards in the sub-target area. If the evaluation result is used to characterize the presence of geological hazards in the sub-target area, the sub-target area corresponding to the abnormal result can be determined as an abnormal area.
[0071] In this embodiment, the output end on the left side of the data processing unit can be bidirectionally electrically connected to the preprocessing module, and the preprocessing module is used in conjunction with the data processing unit to improve the processing efficiency of the acquired geological data, wherein the data processing method of the preprocessing module can be selected according to actual conditions, and no specific restrictions are made here.
[0072] Optionally, this embodiment increases the working efficiency of the central processing unit by setting up the data processing unit to cooperate with the central processing unit. By setting up the preprocessing module, it can cooperate with the data processing unit to reduce the workload of the data processing unit. At the same time, by setting up the working processing unit, geological hazards can be efficiently identified to prevent the monitoring of geological hazard types from being unclear, further achieving the technical problem of being unable to accurately judge geological anomalies and achieving the technical effect of accurately judging geological anomalies.
[0073] Optionally, this embodiment further provides a geological anomaly identification algorithm module, wherein the identification algorithm can be selected according to actual conditions, and is not specifically limited here. The geological anomaly identification algorithm module and the work processing unit work synchronously, thereby improving the efficient identification of geological anomalies.
[0074] As an optional implementation, the method may further include: sending a warning signal in response to the presence of an abnormal area in the target area.
[0075] In this embodiment, the data processing unit can be connected to the early warning and alarm module, and when it is determined that there is an abnormal area in the target area, the early warning and alarm module can be controlled to send an early warning signal. The early warning signal can include at least one of the following: sound, light, text information, such as text messages, emails, etc. It should be noted that this is only an example, and the type of early warning signal is not specifically limited.
[0076] As an optional implementation, the method may further include: predicting the geological data to obtain the geological data of the geological body at a future time.
[0077] In this embodiment, the geological hazard prediction model can also be used to predict geological data to obtain geological data of the geological body at a future time.
[0078] As an optional implementation, the method may further include: determining whether there is an abnormal area in the geological body at a future time based on geological data at a future time; and sending a warning signal in response to the presence of an abnormal area in the geological body at a future time.
[0079] In this embodiment, based on the geological data of the geological body at the future time, it is determined whether there is an abnormal area in the geological body at the future time. If there is abnormal data in the geological body at the future time, an early warning signal can be sent.
[0080] Optionally, when abnormal data is detected or potential risks are predicted (ie, abnormal conditions will exist in the geological body at a future moment), the early warning and alarm module can notify relevant personnel through sound and light alarms, text messages, emails, etc.
[0081] In an embodiment of the present invention, a geological anomaly detector is used to control the collection of geological data, determine the geological type based on the geological data, retrieve standard geological data corresponding to the pre-stored geological type, and judge the geological data through the standard geological data to determine the abnormal area of the target area, thereby solving the technical problem of being unable to accurately determine geological anomalies and achieving the technical effect of accurately determining geological anomalies.
[0082] Example 2
[0083] According to an embodiment of the present invention, a detection system for abnormal regions is also provided. It should be noted that the detection system for abnormal regions of this embodiment can be used to execute the detection method for abnormal regions of embodiment 1 of the present invention.
[0084] In an embodiment of the present invention, a detection system for abnormal areas is also proposed. Figure 2 Schematic diagram of a detection system for abnormal areas according to an embodiment of the present invention. Figure 2 As shown, the abnormal area detection system 20 may include: a geological monitor 21 and a data processing unit 22 .
[0085] The geological monitor 21 is used to collect geological data of a target area in response to a start instruction, wherein the target area is an area where underground power work is performed.
[0086] The data processing unit 22 is used to determine the geological type of the geological body in the target area based on the geological data; retrieve the standard geological data corresponding to the geological type; compare the geological data with the standard geological data to obtain a comparison result; and determine the abnormal area in the target area based on the comparison result, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged.
[0087] In this embodiment, a detection system for abnormal areas caused by diseases in underground power projects (also called a geological anomaly detection system) is provided. The system has the advantages of accurately and efficiently identifying the types of geological diseases and providing reminders, solving the problem that the geological anomaly detector cannot accurately and quickly identify the types of geological diseases.
[0088] Optionally, the system may include a geological anomaly detector, wherein the output terminal of the geological anomaly detector is connected to a startup power supply, the output terminal of the startup power supply is connected to a central processing unit, the output terminal on the left side of the central processing unit is bidirectionally electrically connected to a remote control module, the output terminal at the bottom of the central processing unit is bidirectionally electrically connected to a sensor array unit, the output terminal on the right side of the central processing unit is bidirectionally electrically connected to a user interface and a visualization platform, the output terminal at the bottom of the sensor array unit is bidirectionally electrically connected to a data acquisition unit, the output terminal at the bottom of the data acquisition unit is bidirectionally electrically connected to a data processing unit, the output terminal at the bottom of the data processing unit is bidirectionally electrically connected to an early warning and alarm module, the output terminal at the bottom of the early warning and alarm module is bidirectionally electrically connected to a geological anomaly identification algorithm module, the output terminal at the bottom of the geological anomaly identification algorithm module is bidirectionally electrically connected to a storage recording module, and the output terminal on the right side of the data processing unit is bidirectionally electrically connected to a work processing unit. The output terminal of the user interface and the visualization platform is connected to a real-time data display module, the output terminal of the user interface and the visualization platform is connected to a data display module, and the output terminal of the user interface and the visualization platform is connected to an abnormal event recording module.
[0089] Optionally, the user turns on the geological anomaly detector by starting the power supply, and the geological anomaly detector controls the opening of the working central processor. The central processor can perform remote control work through the remote control module, and can also perform control work through the user interface and the visualization platform. The central processor controls the sensor array unit to perform sensor reception work. The sensors with different distributions in the sensor array unit perform signal reception work to obtain geological data. The geological data is transmitted to the data acquisition unit, and the geological data is received, extracted, and stored by the data acquisition unit. The stored geological data can be subjected to abnormal detection, pattern recognition, and prediction and evaluation data of geological diseases by using recognition algorithms or neural network models, and then processed by the data processing unit and the preprocessing module. When abnormal data is detected or potential risks are predicted, it can be determined that there are abnormal areas in the geological body or there will be abnormal areas in the geological body in the future. If it is determined that there are abnormal areas in the geological body or there will be abnormal areas in the geological body in the future, the early warning and alarm module can notify relevant personnel by means of sound and light alarms, text messages, emails, etc. Among them, in the process of determining the abnormal area, the geological anomaly recognition algorithm module can work synchronously with the working processing unit to improve the efficient recognition of geological anomalies. Furthermore, the storage and recording module and the data backup module can record the geological data.
[0090] Optionally, the system can also be provided with a user interface and a visualization platform, through which the operator can observe and observe conveniently, and provide the operator with convenient operation functionality. At the same time, the system is also provided with a data backup module. The data of the storage and recording module can be backed up through the data backup module to prevent data loss.
[0091] As an optional embodiment, the geological monitor is connected to a sensor array unit, in which a real-time temperature monitoring module, an environmental humidity sensing module, an instrument displacement monitoring module and a seismic wave monitoring module are arranged and distributed.
[0092] In this embodiment, different types of sensors can be arranged and distributed through the arrangement of the sensor array unit, thereby improving the data collection efficiency of the sensors.
[0093] In this embodiment, the geological monitor responds to the start instruction to collect geological data of the target area, wherein the target area is an area where underground power work is performed. The data processing unit determines the geological type of the geological body in the target area based on the geological data; retrieves the standard geological data corresponding to the geological type; compares the geological data with the standard geological data to obtain a comparison result; and determines the abnormal area in the target area based on the comparison result, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged, thereby solving the technical problem of being unable to accurately determine the geological anomaly and achieving the technical effect of accurately determining the geological anomaly.
[0094] Example 3
[0095] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.
[0096] At present, geological anomalies can refer to geological bodies or combinations of geological bodies that are significantly different from the surrounding environment in terms of material composition, structure, structure or genetic sequence. Geological anomalies may be manifested as discontinuous interfaces or interfaces between different geological bodies in geological bodies, sudden changes in the internal and external characteristics of geological bodies or the presence of prominent change sites, abnormalities in various geological bodies or different attribute combinations of the same geological body within a unit area or volume, embedding of geological bodies of different genesis, and geological bodies with different evolutionary histories. Geological anomalies can also be divided into global geological anomalies, regional geological anomalies, local geological anomalies, and microscopic geological anomalies. There is a sequential control relationship between different types of anomalies, showing hierarchy and relativity. Geological anomalies also have properties such as discontinuity and mutation, heterogeneity and diversity, randomness and uncertainty. Geological anomalies are closely related to mineralization, and are often manifested as geophysical fields, geochemical fields, and remote sensing image characteristics that are significantly different from the surrounding environment.
[0097] In the related technology, when conducting geological body disease detection work, geological anomaly detection is usually used for detection. However, most of the current geological anomaly detectors are unable to accurately and quickly identify the types of geological diseases, which leads to the inability to quickly take effective measures against the geological diseases, affecting the normal use of the geological anomaly detectors, failing to bring convenience to users, and having the technical problem of being unable to accurately judge geological anomalies.
[0098] To solve the above problems, in this embodiment, the geological anomaly detector is redesigned and modified. By providing a data processing unit and a sensor array unit, the geological anomaly detector controls the sensor array unit to collect geological data, obtains the geological data collected by the sensor array unit through the data processing unit, determines the geological type of the geological body in the target area based on the geological data, retrieves the standard geological data corresponding to the geological type, and compares the geological data with the standard geological data through the comparison unit to obtain a comparison result. Based on the comparison result, the abnormal area in the target area can be determined, thereby effectively preventing the technical problem that the geological anomaly detector cannot accurately and quickly identify geological anomalies, and achieving the technical effect that the geological anomaly detector can determine the abnormal area.
[0099] Furthermore, in this embodiment, a geological anomaly detection system for underground power engineering caused by diseases using the above-mentioned abnormal area detection method is also proposed. The system has the advantages of accurately and efficiently identifying the types of geological diseases and providing reminders, thereby solving the problem that the geological anomaly detector cannot accurately and quickly identify the types of geological diseases.
[0100] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments; the size of the numbers in the embodiments is only for illustration and is not specifically limited here. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention and are not specifically limited here.
[0101] Figure 3 is a schematic diagram of a geological anomaly detection system caused by a disease in an underground power project according to an embodiment of the present invention. Figure 3 As shown, the system may include a geological anomaly detector 31, the output end of the geological anomaly detector is connected to a start-up power supply 32, the output end of the start-up power supply 32 is connected to a central processor 33, the output end on the left side of the central processor 33 is bidirectionally electrically connected to a remote control module 34, the output end at the bottom of the central processor 33 is bidirectionally electrically connected to a sensor array unit 35, and the output end on the right side of the central processor 33 is bidirectionally electrically connected to a user interface and visualization platform 36. Among them, the output end of the user interface and visualization platform 36 is connected to a real-time data display module 361, the output end of the user interface and visualization platform is connected to a data display module 362, and the output end of the user interface and visualization platform is connected to an abnormal event recording module 363.
[0102] Optionally, the real-time data display module 361 can display real-time data such as geological data collected in real time. The data display module 362 can display the target area, comparison results, abnormal areas and other contents. The abnormal event recording module 363 can record abnormal areas and geological data corresponding to abnormal areas (also called abnormal data). Through the setting of the user interface and the visualization platform, it can be convenient for operators to observe and provide operators with convenient operation functionality.
[0103] like Figure 3 As shown, the output end at the bottom of the sensor array unit 35 is bidirectionally electrically connected to the data acquisition unit 37, the output end at the bottom of the data acquisition unit 37 is bidirectionally electrically connected to the data processing unit 38, the output end at the bottom of the data processing unit 38 is bidirectionally electrically connected to the early warning and alarm module 39, the output end at the bottom of the early warning and alarm module 39 is bidirectionally electrically connected to the geological anomaly identification algorithm module 310, the output end at the bottom of the geological anomaly identification algorithm module 310 is bidirectionally electrically connected to the storage and recording module 312, and the output end on the right side of the data processing unit 38 is bidirectionally electrically connected to the work processing unit 311. The output end at the bottom of the storage and recording module 312 is bidirectionally electrically connected to the data backup module 313, and the data backup module 313 is used in conjunction with the storage and recording module 312.
[0104] Optionally, through the setting of the data backup module 312, the data of the storage recording module can be backed up to prevent data loss.
[0105] In this embodiment, the user turns on the geological anomaly detector by starting the power supply, and the geological anomaly detector controls the opening of the working central processor. The central processor can perform remote control work through the remote control module, and can also perform control work through the user interface and the visualization platform. The central processor controls the sensor array unit to perform sensor reception work. The sensors with different distributions in the sensor array unit perform signal reception work to obtain geological data. The geological data is transmitted to the data acquisition unit, and the geological data is received, extracted, and stored by the data acquisition unit. The stored geological data can be subjected to abnormal detection, pattern recognition, and prediction and evaluation data of geological diseases by using recognition algorithms or neural network models, and then processed by the data processing unit and the preprocessing module. When abnormal data is detected or potential risks are predicted, it can be determined that there are abnormal areas in the geological body or there will be abnormal areas in the geological body in the future. If it is determined that there are abnormal areas in the geological body or there will be abnormal areas in the geological body in the future, the early warning and alarm module can notify relevant personnel by means of sound and light alarms, text messages, emails, etc. Among them, in the process of determining the abnormal area, the geological anomaly recognition algorithm module can work synchronously with the working processing unit to improve the efficient recognition of geological anomalies. Furthermore, the storage and recording module and the data backup module can record the geological data.
[0106] As an optional embodiment, Figure 3 As shown, the sensor array unit 35 may include a real-time temperature monitoring module 351, an environmental humidity sensing module 352, an instrument displacement module 353, and a seismic wave monitoring module 354. The temperature data in the geological data may be collected through the real-time temperature monitoring module; the humidity data in the geological data may be collected through the environmental humidity sensing module; the displacement data in the geological data may be collected through the instrument displacement module; and the seismic wave quality in the geological data may be collected through the seismic wave monitoring module.
[0107] In this embodiment, by providing the sensor array unit 35, the sensors can be arranged and distributed, thereby improving the working efficiency of the sensors and achieving the purpose of improving the accuracy of the acquired geological data.
[0108] As an optional embodiment, the data acquisition unit may be connected to the sensor array unit to obtain the geological data collected by the sensor array unit.
[0109] Optionally, Figure 4 is a schematic diagram of a data acquisition unit according to an embodiment of the present invention, such as Figure 4As shown, the data acquisition unit 40 may include a data aggregation module 41, a noise filtering module 42 and a signal extraction module 43. The data aggregation module 41 can be used to aggregate different types of geological data collected to obtain geological summary data. The noise filtering module 42 can be used to filter and clean the geological summary data, and invalid data in the geological summary data can be removed to obtain filtered data. The filtered data can be extracted by the signal extraction module 43. Further, the extracted filtered data can be identified to obtain the geological type.
[0110] In this embodiment, the geological data is obtained by receiving signals through sensors with different distributions. The geological data is extracted and processed by the data acquisition unit, and the data is received and stored. The geological type is determined by judging the stored data. This embodiment can process the collected geological data and increase the extraction efficiency of the geological data through the setting of the data acquisition unit.
[0111] As an optional embodiment, a data processing unit and a work processing unit connected to the data processing unit are also provided. Figure 5 is a schematic diagram of a data processing unit according to an embodiment of the present invention, such as Figure 5 As shown, the data processing unit 50 may include a data transmission module 51 and a data comparison module 52 .
[0112] Alternatively, if Figure 3 As shown, the work processing unit 311 may include an anomaly detection module 3111 , a pattern recognition module 3112 , a geological hazard prediction module 3113 and a geological hazard assessment module 3114 .
[0113] Optionally, the data transmission module can be connected to the data acquisition unit, and the filtered data extracted by the data acquisition unit can be transmitted to the data comparison module through the data transmission module, and the extracted filtered data is compared with the standard geological data to obtain a comparison result, and the comparison result is transmitted to the work processing unit. The abnormal data in the geological data is determined based on the comparison result by the abnormal detection unit in the work processing unit, for example, the geological data with a large difference in the comparison result can be determined. The abnormal data is evaluated for disease by the geological disease assessment module to obtain an evaluation result to determine the abnormal area with geological diseases in the target area. Furthermore, the abnormal type of the abnormal area can be identified by the pattern recognition module to complete further analysis of the abnormal area. The future situation of the geological body can be predicted based on the geological data by the geological disease prediction module.
[0114] In this embodiment, the output end on the left side of the data processing unit can be bidirectionally electrically connected to the preprocessing module 314, and the preprocessing module 314 is used in conjunction with the data processing unit to improve the processing efficiency of the acquired geological data, wherein the data processing method of the preprocessing module can be selected according to actual conditions, and no specific restrictions are made here.
[0115] Optionally, this embodiment increases the working efficiency of the central processing unit by setting up the data processing unit to cooperate with the central processing unit. By setting up the preprocessing module, it can cooperate with the data processing unit to reduce the workload of the data processing unit. At the same time, by setting up the working processing unit, geological hazards can be efficiently identified to prevent the monitoring of geological hazard types from being unclear, further achieving the technical problem of being unable to accurately judge geological anomalies and achieving the technical effect of accurately judging geological anomalies.
[0116] Optionally, this embodiment further provides a geological anomaly identification algorithm module, wherein the identification algorithm can be selected according to actual conditions, and is not specifically limited here. The geological anomaly identification algorithm module and the work processing unit work synchronously, thereby improving the efficient identification of geological anomalies.
[0117] In an embodiment of the present invention, in order to improve the accuracy of identifying geological anomalies, a geological anomaly detector is used to control the collection of geological data, determine the geological type based on the geological data, retrieve standard geological data corresponding to the pre-stored geological type, and judge the geological data through the standard geological data to determine the abnormal area of the target area, thereby solving the technical problem of being unable to accurately determine geological anomalies and achieving the technical effect of accurately determining geological anomalies.
[0118] Example 4
[0119] According to an embodiment of the present invention, a device for detecting an abnormal region is also provided. It should be noted that the device for detecting an abnormal region of this embodiment can be used to execute the method for detecting an abnormal region of embodiment 1 of the present invention.
[0120] Figure 6 Schematic diagram of a detection device for abnormal areas according to an embodiment of the present invention. Figure 6 As shown, the abnormal area detection device 60 may include: a first determination unit 61 , a processing unit 62 , a second determination unit 63 , a retrieval unit 64 , a comparison unit 65 and a third determination unit 66 .
[0121] The first determining unit 61 is used to determine a target area for underground power work.
[0122] The processing unit 62 is used to start the geological anomaly detector in response to the start instruction, and control the geological anomaly detector to collect geological data of the target area.
[0123] The second determination unit 63 is used to determine the geological type of the geological body in the target area based on the geological data.
[0124] The retrieving unit 64 is used to retrieve standard geological data corresponding to the geological type, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged.
[0125] The comparison unit 65 is used to compare the geological data with the standard geological data to obtain a comparison result.
[0126] The third determining unit 66 is used to determine the abnormal area in the target area based on the comparison result.
[0127] The abnormal area detection device of this embodiment determines the target area for underground power work through the first determination unit; turns on the geological anomaly detector in response to the start-up instruction through the processing unit, and controls the geological anomaly detector to collect geological data of the target area; determines the geological type of the geological body in the target area based on the geological data through the second determination unit; retrieves the standard geological data corresponding to the geological type through the retrieval unit, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged; compares the geological data with the standard geological data through the comparison unit to obtain a comparison result; determines the abnormal area in the target area based on the comparison result through the third determination unit, thereby solving the technical problem of being unable to accurately determine the geological anomaly and achieving the technical effect of accurately determining the geological anomaly.
[0128] Example 5
[0129] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored program, wherein the program executes the abnormal area detection method in Embodiment 1.
[0130] Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.
[0131] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: determining a target area for underground power work; in response to a start-up instruction, turning on a geological anomaly detector, and controlling the geological anomaly detector to collect geological data of the target area; determining the geological type of the geological body in the target area based on the geological data; retrieving standard geological data corresponding to the geological type, wherein the standard geological data is used to characterize the geological data corresponding to the original undamaged geological body; comparing the geological data with the standard geological data to obtain a comparison result; and determining the abnormal area in the target area based on the comparison result.
[0132] Optionally, the computer-readable storage medium may also execute program codes of the following steps: summarizing temperature data, humidity data, displacement data and the number of seismic waves to obtain geological summary data; filtering the geological summary data to obtain filtered data; identifying the filtered data to obtain the geological type.
[0133] Optionally, the computer-readable storage medium may also execute program codes for the following steps: determining abnormal data in the geological data based on the comparison results; evaluating the abnormal data to obtain evaluation results, wherein the evaluation results are used to characterize whether there are geological hazards in the sub-target area, and the target area includes multiple sub-target areas; and determining the abnormal area based on the evaluation results.
[0134] Optionally, the computer-readable storage medium may also execute program code for the following steps: in response to the evaluation result being used to characterize the presence of geological hazards in the sub-target area, determining the sub-target area corresponding to the abnormal result as an abnormal area.
[0135] Optionally, the computer-readable storage medium may also execute program code for the following steps: in response to the presence of an abnormal area in the target area, sending a warning signal.
[0136] Optionally, the computer-readable storage medium may also execute program codes of the following steps: predicting geological data to obtain geological data of the geological body at a future time.
[0137] Optionally, the computer-readable storage medium may also execute program code for the following steps: determining whether there is an abnormal area in the geological body at a future time based on geological data at a future time; and sending an early warning signal in response to the presence of an abnormal area in the geological body at a future time.
[0138] In this embodiment, the geological anomaly detector is used to control the collection of geological data, determine the geological type based on the geological data, retrieve the pre-stored standard geological data corresponding to the geological type, and judge the geological data through the standard geological data to determine the abnormal area of the target area, thereby solving the technical problem of being unable to accurately determine geological anomalies and achieving the technical effect of accurately determining geological anomalies.
[0139] Example 6
[0140] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run by the processor, the abnormal area detection method in Embodiment 1 is executed.
[0141] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.
[0142] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the multi-language translation method: determine the target area for underground power work; in response to the start-up instruction, turn on the geological anomaly detector, and control the geological anomaly detector to collect geological data of the target area; based on the geological data, determine the geological type of the geological body in the target area; retrieve standard geological data corresponding to the geological type, wherein the standard geological data is used to characterize the geological data corresponding to the original undamaged geological body; compare the geological data with the standard geological data to obtain a comparison result; based on the comparison result, determine the abnormal area in the target area.
[0143] Wherein, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the multilingual translation method and device in the embodiment of the present invention, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the above-mentioned multilingual translation method. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0144] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: determine the target area for underground power work; in response to the start-up instruction, turn on the geological anomaly detector and control the geological anomaly detector to collect geological data of the target area; based on the geological data, determine the geological type of the geological body in the target area; retrieve the standard geological data corresponding to the geological type, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged; compare the geological data with the standard geological data to obtain a comparison result; based on the comparison result, determine the abnormal area in the target area.
[0145] Optionally, the processor may also execute the program code of the following steps: summarizing the temperature data, humidity data, displacement data and the number of seismic waves to obtain geological summary data; filtering the geological summary data to obtain filtered data; identifying the filtered data to obtain the geological type.
[0146] Optionally, the processor may also execute the program code of the following steps: based on the comparison results, determine abnormal data in the geological data; evaluate the abnormal data to obtain an evaluation result, wherein the evaluation result is used to characterize whether there is geological disease in the sub-target area, and the target area includes multiple sub-target areas; determine the abnormal area based on the evaluation result.
[0147] Optionally, the processor may further execute program code of the following steps: in response to the evaluation result being used to characterize the presence of geological hazards in the sub-target area, determining the sub-target area corresponding to the abnormal result as an abnormal area.
[0148] Optionally, the processor may also execute program code of the following steps: in response to the presence of an abnormal area in the target area, sending a warning signal.
[0149] Optionally, the processor may also execute program codes of the following steps: predicting geological data to obtain geological data of the geological body at a future time.
[0150] Optionally, the processor may also execute program codes of the following steps: determining whether there is an abnormal area in the geological body at a future time based on geological data at a future time; and sending an early warning signal in response to the presence of an abnormal area in the geological body at a future time.
[0151] By adopting the embodiment of the present invention, the geological anomaly detector is used to control the collection of geological data, the geological type is determined based on the geological data, the standard geological data corresponding to the pre-stored geological type is retrieved, and the geological data is judged by the standard geological data to determine the abnormal area of the target area, thereby solving the technical problem of being unable to accurately determine the geological anomaly and achieving the technical effect of accurately determining the geological anomaly.
[0152] Example 7
[0153] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the abnormal area detection method in Embodiment 1 is implemented.
[0154] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.
[0155] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0156] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic, for example, the division of units can be a logical function division, and there can be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
[0157] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0158] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0159] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.
[0160] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A method for detecting an abnormal area, characterized in that: include: Identify target areas for underground electrical work; In response to the start instruction, the geological anomaly detector is turned on, and the geological anomaly detector is controlled to collect geological data of the target area; Based on the geological data, determining the geological type of the geological body in the target area; Retrieving standard geological data corresponding to the geological type, wherein the standard geological data is used to characterize geological data corresponding to an undamaged original geological body; Comparing the geological data with standard geological data to obtain a comparison result; Based on the comparison result, an abnormal area in the target area is determined.
2. The method according to claim 1, characterized in that The geological data includes at least one of the following: temperature data, humidity data, displacement data and seismic wave quantity.
3. The method according to claim 2, characterized in that Determining the geological type of the geological body in the target area based on the geological data includes: Summarizing the temperature data, the humidity data, the displacement data, and the number of seismic waves to obtain geological summary data; filtering the geological summary data to obtain filtered data; The filtered data is identified to obtain the geological type.
4. The method according to claim 1, characterized in that: Determining the abnormal area in the target area based on the comparison result includes: Based on the comparison result, determining abnormal data in the geological data; Evaluate the abnormal data to obtain an evaluation result, wherein the evaluation result is used to characterize whether there is a geological disease in the sub-target area, and the target area includes a plurality of sub-target areas; The abnormal region is determined based on the evaluation result.
5. The method according to claim 4, characterized in that Determining the abnormal area based on the evaluation result includes: In response to the evaluation result being used to characterize the presence of geological hazards in the sub-target area, the sub-target area corresponding to the abnormal result is determined as the abnormal area.
6. The method according to claim 5, characterized in that The method further comprises: In response to the presence of the abnormal area in the target area, a warning signal is sent.
7. The method according to claim 4, characterized in that The method further comprises: The geological data is predicted to obtain the geological data of the geological body at a future time.
8. The method according to claim 7, characterized in that The method further comprises: Based on the geological data at the future time, determining whether there is an abnormal area in the geological body at the future time; In response to the presence of an abnormal area in the geological body at the future time, an early warning signal is sent.
9. A detection system for abnormal areas, characterized in that: include: A geological monitor, for collecting geological data of a target area in response to a start instruction, wherein the target area is an area where underground power work is performed; A data processing unit is used to determine the geological type of the geological body in the target area based on the geological data; retrieve standard geological data corresponding to the geological type; compare the geological data with the standard geological data to obtain a comparison result; and determine the abnormal area in the target area based on the comparison result, wherein the standard geological data is used to characterize the geological data corresponding to the original geological body that has not been damaged.
10. The system according to claim 9, characterized in that The geological monitor is connected to a sensor array unit, in which a real-time temperature monitoring module, an environmental humidity sensing module, an instrument displacement monitoring module and a seismic wave monitoring module are arranged and distributed.