Peat resource detection method and system, electronic equipment and storage medium

Abstract

The invention discloses a peat resource detection method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining historical geological data and remote sensing image data of a to-be-detected region, carrying out the analysis according to a preset height value, the historical geological data and the remote sensing image data, and determining a peat resource target region; constructing a detection network in the peat resource target region, and performing measurement based on the detection network to determine first measurement data and second measurement data; respectively interpreting the first measurement data and the second measurement data, and determining corresponding interpretation results; comprehensively analyzing the obtained interpretation result, and determining a peat resource detection result; according to the method, a peat resource target area is delimited by combining historical geological data and remote sensing image data, a detection network is constructed according to a preset interval, detection is performed by adopting different detection methods according to the detection network, different detection data are determined, comprehensive analysis is performed by combining the different detection data, and a detection result of the peat resource is determined. And the detection accuracy of peat resources is improved.

Description

Technical Field

[0001] The present invention relates to the field of detection technology, and in particular to a peat resource detection method, system, electronic equipment and storage medium. Background Art

[0002] Peatlands, as areas rich in peat resources, are important carbon pools in terrestrial ecosystems. Existing peat resource detection technologies mainly define the distribution range and reserves of peat resources in high-altitude areas through remote sensing interpretation and geological drilling based on investigations and field surveys. Existing technologies have low accuracy in detecting peat resources in tropical and subtropical low-altitude areas. Summary of the invention

[0003] The main purpose of the embodiments of the present invention is to provide a peat resource detection method, system, electronic equipment and storage medium, which can improve the detection accuracy of peat resources and improve the detection precision.

[0004] To achieve the above object, an embodiment of the present invention provides a method for detecting peat resources, the method comprising: Determine the peat resource target area based on the preset height value, the acquired remote sensing image data and the acquired historical geological data; Arrange physical detection lines according to the peat resource target area and preset detection network parameters to determine the detection network; Performing a first measurement on the peat resource target area according to the detection network to determine first measurement data; performing a second measurement on the peat resource target area according to the detection network to determine second measurement data; The first measurement data is interpreted to determine a first interpretation result; the second measurement data is interpreted to determine a second interpretation result; and a comprehensive analysis is performed based on the first interpretation result and the second interpretation result to determine a peat resource detection result.

[0005] In some embodiments, the analyzing the remote sensing image data, the preset height value and the historical geological data to determine the peat resource target area specifically includes: Performing regional division according to the preset height value and the remote sensing image data to determine the peat resource target area; Extract data based on the historical geological data and the peat resource target area to determine a first data set; wherein the first data set includes any combination of ancient lagoons, ancient estuary bay distribution areas, high organic carbon value areas or drilling data within the peat resource target area; Overlay analysis is performed on the data in the first data set to determine overlapping areas, and the overlapping areas are used as the peat resource target areas.

[0006] In some embodiments, performing a first measurement on the peat resource target area according to the detection network to determine first measurement data specifically includes: Determine a plurality of first control points according to the detection network, set electrodes at the first control points, and perform connectivity checks on the electrodes at the plurality of first control points to determine test results; If the test result shows that all electrodes are connected normally, the peat resource target area is measured according to the first preset measurement parameters and the electrodes at the first control points to determine the first measurement data; If the test result shows that there is abnormal electrode connectivity, the electrodes at several of the first control points are checked until the test result shows that all electrodes are connected normally. The peat resource target area is measured according to the first preset measurement parameters and the electrodes at several of the first control points to determine the first measurement data.

[0007] In some embodiments, performing a second measurement on the peat resource target area according to the detection network to determine second measurement data specifically includes: Determine a plurality of second control points according to the detection network, and determine measurement parameters according to the plurality of second control points; wherein the measurement parameters include a starting point and an end point of a survey line; The peat resource target area is subjected to radar measurement according to the measurement parameters and preset radar measurement parameters to determine the second measurement data.

[0008] In some embodiments, interpreting the first measurement data to determine a first interpretation result specifically includes: Preprocessing the first measurement data to determine third measurement data, and performing data inversion on the third measurement data according to a preset algorithm to determine a first section data set; The first section data set is compared with a first preset stratification relationship to determine first section data, and the first section data is used as the first interpretation result; wherein the first section data includes a plurality of stratum distribution data.

[0009] In some embodiments, interpreting the second measurement data to determine a second interpretation result specifically includes: Preprocessing the second measurement data to determine second section data; comparing the second section data with a second preset layer relationship to determine first layer data; The first layered data is divided according to a second preset measurement parameter to determine the second interpretation result.

[0010] In some embodiments, performing a comprehensive analysis based on the first interpretation result and the second interpretation result to determine the peat resource detection result specifically includes: Comparing the first interpretation result and the second interpretation result to determine a comparison result; wherein the comparison result includes formation interface data; According to the comparison result and the historical geological data, the first interpretation result is interface-adjusted to determine the first stratigraphic data; according to the comparison result and the historical geological data, the second interpretation result is interface-adjusted to determine the second stratigraphic data; Modeling is performed based on the first stratigraphic data and the second stratigraphic data to determine a target area stratigraphic model, and the target area stratigraphic model is used as the peat resource detection result.

[0011] To achieve the above object, another aspect of an embodiment of the present invention provides a peat resource detection system, comprising: The first module is used to determine the peat resource target area based on the preset height value, the acquired remote sensing image data and the acquired historical geological data; The second module is used to lay out the physical detection line according to the peat resource target area and the preset detection network parameters, and determine the detection network; The third module is used to perform a first measurement on the peat resource target area according to the detection network to determine first measurement data; perform a second measurement on the peat resource target area according to the detection network to determine second measurement data; The fourth module is used to interpret the first measurement data to determine a first interpretation result; interpret the second measurement data to determine a second interpretation result; and perform a comprehensive analysis based on the first interpretation result and the second interpretation result to determine a peat resource detection result.

[0012] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application provides an electronic device, the electronic device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the above-mentioned method when executing the computer program.

[0013] To achieve the above objective, another aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0014] Implementation of the embodiments of the present invention includes the following beneficial effects: the embodiments provide a peat resource detection method, system, electronic device and storage medium, which obtains historical geological data and remote sensing image data of the area to be detected, analyzes the data according to preset height values, historical geological data and remote sensing image data, and determines the peat resource target area; determines the detection network according to the determined peat resource target area, preset spacing and preset font layout detection lines; measures the peat resource target area in different ways based on the detection network to determine first measurement data and second measurement data; interprets the first measurement data and the second measurement data respectively to determine corresponding interpretation results; conducts a comprehensive analysis based on the obtained interpretation results to determine the peat resource detection results; delineates the peat resource target area in combination with historical geological data and remote sensing image data; constructs a detection network in the peat resource target area according to the preset spacing, uses different detection methods to detect according to the detection network, determines different detection data, conducts a comprehensive analysis based on the different detection data, determines the peat resource detection results, and improves the detection accuracy of peat resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the steps of a peat resource detection method provided by an embodiment of the present invention; Figure 2 It is a schematic flow chart of the steps of determining a peat resource target area in a peat resource detection method provided by an embodiment of the present invention; Figure 3 It is a schematic flow chart of the steps of determining first measurement data in a peat resource detection method provided by an embodiment of the present invention; Figure 4 It is a schematic flow chart of the steps of determining second measurement data in a peat resource detection method provided by an embodiment of the present invention; Figure 5 It is a schematic flow chart of the steps of determining a first interpretation result in a peat resource detection method provided by an embodiment of the present invention; Figure 6 It is a schematic flow chart of the steps of determining a second interpretation result in a peat resource detection method provided by an embodiment of the present invention; Figure 7 It is a schematic flow chart of steps for comprehensive analysis in a peat resource detection method provided by an embodiment of the present invention; Figure 8 It is a schematic diagram of a step flow of a specific embodiment provided by an embodiment of the present invention; Fig. 9 It is a schematic diagram of elevation data of an area to be detected in a specific embodiment provided by an embodiment of the present invention; Fig.10 is a relative sea level fluctuation diagram in a specific embodiment provided by an embodiment of the present invention; Fig.11 It is a schematic diagram of the distribution of the physical and chemical properties of a sample core in a specific embodiment provided by an embodiment of the present invention; Fig.12 It is a survey line inversion cross-section layered diagram obtained by performing data inversion using a high-density electrical method in a specific embodiment provided by the embodiment of the present invention; Fig.13 It is a cross-section layered diagram obtained by geological radar measurement in a specific embodiment provided by an embodiment of the present invention; FIG. 14 (a) to FIG. 14 (c) are schematic diagrams of comprehensively analyzing and determining a target area formation model in a specific embodiment provided by an embodiment of the present invention; Fig.15 is a structural block diagram of a peat resource detection system provided by an embodiment of the present invention; Fig.16 The present invention provides a hardware structure block diagram of an electronic device. DETAILED DESCRIPTION

[0016] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The step numbers in the following embodiments are only provided for the convenience of explanation and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0017] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0018] In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present invention described herein can be implemented in an order other than that illustrated or described herein.

[0019] Unless otherwise defined, all technical and scientific terms used in the embodiments of the present invention have the same meanings as those commonly understood by those skilled in the art of the present invention. The terms used in the embodiments of the present invention are only for the purpose of describing the embodiments of the present invention and are not intended to limit the present invention.

[0020] Before further describing the embodiments of the present invention in detail, the nouns and terms involved in the embodiments of the present invention are described. The nouns and terms involved in the embodiments of the present invention are subject to the following interpretations.

[0021] Mire (resource): An organic accumulation layer formed by the dead remains of animals and plants in a water-rich and oxygen-deficient state. It is composed of three substances: animal and plant remains, humus and minerals, of which the organic matter content accounts for more than 30% of the dry weight of the soil. Peat is widely used in energy, industry, agriculture, animal husbandry, environmental protection, medicine and health, and is a valuable natural resource with multiple uses; Peatland: a type of wetland, generally with a peat layer thickness greater than 30 cm, including exposed peatland and buried peatland; Bare peatland: also known as peat bog, the surface is always too wet or has a thin layer of water, on which marsh or wetland plants grow; Buried peatland: refers to the peat buried underground due to the disappearance of swamps, mostly buried 1 to 5 meters below the surface, widely distributed in coastal plains; Holocene: The youngest geological era, beginning about 10,000 years ago and continuing to the present day.

[0022] like Figure 1 As shown, Figure 1 is an optional flow chart of a peat resource detection method provided by an embodiment of the present invention. Figure 1 The method may include but is not limited to steps S101 to S104.

[0023] Step S101, analyzing the preset height value, the acquired remote sensing image data and the acquired historical geological data to determine the peat resource target area; Step S102, laying out physical detection lines according to the peat resource target area and preset detection network parameters, and determining the detection network; Step S103, performing a first measurement on the peat resource target area according to the detection network to determine first measurement data; performing a second measurement on the peat resource target area according to the detection network to determine second measurement data; Step S104, interpreting the first measurement data to determine a first interpretation result; interpreting the second measurement data to determine a second interpretation result; and performing a comprehensive analysis based on the first interpretation result and the second interpretation result to determine a peat resource detection result.

[0024] Steps S101 to S104 shown in the embodiment of the present invention collect historical geological survey data of the area where peat resources detection is required, including sea level fluctuations and ground subsidence data in the current area since the Holocene, distribution data of ancient lagoons, ancient bays and ancient estuaries along the coast of the current area; and historical surface soil organic matter content distribution and geological drilling data in the current area; at the same time, digital elevation model remote sensing image data in the area to be detected is collected, and the area of ​​peat resources that may exist in the current area is analyzed through the collected historical geological survey data and digital elevation model remote sensing image data. , divide the area where peat resources may exist into peat resource target areas; within the delineated peat resource target areas, set physical detection lines according to preset intervals, and construct a detection network within the delineated peat resource target areas; after constructing the detection network, carry out different forms of detection methods along the detection network, collect different forms of stratigraphic detection data of the peat resource target areas, and then interpret the collected stratigraphic detection data separately to construct the corresponding stratigraphic profile structure; then, comprehensively analyze the stratigraphic profile structures constructed by different detection methods, adjust the corresponding stratigraphic interfaces, and establish a stratigraphic model of the peat resource target area as the detection result of the peat resource target area.

[0025] In step S101 of some embodiments, data extraction can be performed on historical geological survey data in the area to be detected, and geological drilling data in the area to be detected can be screened out. Based on the geological drilling data, analysis is performed to determine the period of peat resource generation in the current area during the Holocene, and determine the favorable stratum for peat layer formation, so as to improve the accuracy of subsequent detection; in this embodiment, the ground elevation changes in coastal areas during the Holocene are analyzed according to the following differential equation: , in, is the regional ground elevation, is the sediment thickness, is the sea level elevation, is the sediment compaction amount, is the ground uplift caused by regional tectonic changes, is the time; since the Holocene is relatively short, the amount of sediment compaction can be ignored. If the crust of the region is relatively stable during the Holocene, it can be considered ; Therefore, the differential equation can be simplified to obtain the following formula, , Since the peat layers in low-latitude coastal areas are mainly formed by widely distributed mangroves, if the peat layers formed by mangrove deposition reach a certain amount, there must be a relatively stable depositional environment, which requires a long-term stable elevation background, that is, ; From this, we can determine the conditions for the formation and development of peat layers are However, if the sea level drops relatively or tends to be stable, due to the continuous input of inorganic matter from the land and the continuous accumulation of organic matter in the mangroves themselves, the thickness of organic matter in the area will continue to increase, and the sea level will be lower than the organic matter, resulting in If the sea level rises too fast, the high organic matter deposition rate cannot offset the rate of sea level rise, and peat layers cannot form. , so that peat layers cannot be formed; therefore, it is determined that the period when peat resources are formed in low-latitude coastal areas is the period of slow sea level rise. During this period, the deposition thickness of organic matter in the region continues to increase, and the slow rise in sea level covers the deposited organic matter, while effectively reducing the supply of terrestrial inorganic matter or debris, increasing the proportion of carbon-rich substances in the sediments, forming favorable conditions for the formation of peat resources; therefore, based on this conclusion, areas where peat resources may be distributed are delineated from the area to be explored.

[0026] It is also possible to conduct geological drilling in the determined peat resource target area and test and analyze the sediment core samples obtained by drilling to determine the physicochemical properties of the sediments in different layers in the core and the corresponding sediment types. For example, the lithology of different layers in the core samples, such as clay, sand and gravel, and peat, can be measured; the density of different layers can be measured to analyze the properties reflected by different densities under different measurement methods; or the organic matter content of different layers can be measured to determine the corresponding peat layer properties; this can be used for subsequent peat resource exploration and stratification, but is not limited to this.

[0027] See also Figure 2 In some embodiments, step S101 may include but is not limited to steps S201 to S203: Step S201, performing regional division according to preset height values ​​and remote sensing image data to determine a peat resource target area; Step S202, extracting data based on historical geological data and the peat resource target area to determine a first data set; wherein the first data set includes any combination of ancient lagoons, ancient estuary bay distribution areas, high organic carbon value areas or drilling data within the peat resource target area; Step S203, performing overlay analysis on the data in the first data set, determining overlapping areas, and using the overlapping areas as peat resource target areas.

[0028] In step S201 of some embodiments, a certain sea level is set according to the generation conditions of peat resources; first, terrain interpretation and ground elevation data are extracted from the collected digital elevation model remote sensing images of the area to be detected to determine the terrain data of the area to be detected, and then, according to the set sea level data, the area in the determined terrain data that is lower than the set sea level data is divided out as the peat resource target area.

[0029] In step S202 of some embodiments, historical geological survey data in the divided peat resource target area are extracted from the historical geological survey data in the current area to be detected according to the divided peat resource target area, distribution data of ancient lagoons and ancient estuaries in the peat resource target area, distribution data of high-value organic carbon areas obtained by geological drilling tests, and geological drilling data in the peat resource target area are extracted from the historical geological survey data, and peat resource target areas where peat resources may exist are delineated in the peat resource target area based on the generation and development conditions of peat resources and the extracted data, so as to carry out subsequent detection of the strata where peat resources exist.

[0030] In step S203 of some embodiments, the extracted distribution data of ancient lagoons and ancient estuaries, the distribution data of high-value organic carbon areas, and the geological drilling data in the peat resource target area are superimposed, and the geological data of the corresponding geological history period are screened according to the generation and development conditions of peat resources and the historical geological survey data, and the overlapping areas of different data of the corresponding period are used as peat resource target areas.

[0031] See also Figure 3 In some embodiments, step S103 may include but is not limited to steps S301 to S303: Step S301, determining a plurality of first control points according to the detection network, setting electrodes at the first control points, and performing connectivity checks on the electrodes at the plurality of first control points to determine test results; Step S302, if the test result shows that all electrodes are connected normally, the peat resource target area is measured according to the first preset measurement parameters and the electrodes at the first control points to determine the first measurement data; Step S303, if the test result shows that there is abnormal electrode connectivity, the electrodes at several first control points are checked until the test result shows that all electrodes are connected normally, and the peat resource target area is measured according to the first preset measurement parameters and the electrodes at several first control points to determine the first measurement data.

[0032] In step S301 of some embodiments, the target center point of the encircled peat resource target area is determined, and physical detection lines are set based on the determined target center point and the preset spacing to construct a detection network; in this embodiment, a "cross" or "well" shaped survey line is used to construct the detection network; at the same time, the main survey line length and the survey line spacing in the detection network can be adjusted accordingly according to the peat resource target area, and connecting survey lines can be appropriately arranged along the survey line to improve the precision and accuracy of subsequent peat resource stratum detection; in the constructed detection network, a number of control points are determined, and electrodes are set at the determined control points to perform stratum detection and collect corresponding stratum data; in this embodiment, a Wenner device is used to power the set electrodes for high-density electrical measurement. Before measuring, the connectivity of the set electrodes is checked to avoid omissions or errors in the collected measurement data.

[0033] In step S302 of some embodiments, if the connectivity checks of all the electrodes are normal, the electrodes are powered to collect resistivity data of different strata in the peat resource target area as the first measurement data; in this embodiment, a Wenner device is used to power the electrodes, and the working parameters of the power supply device are set to a power supply time of 0.3 to 0.5 seconds and a working voltage of 130V to 260V. The working mode uses transverse running poles for data collection to record the resistivity data of different stratum structures along the survey line in the demarcated peat resource target area as the first measurement data.

[0034] In step S303 of some embodiments, if there is an abnormality in the connectivity check of all the set electrodes, stop supplying power to the electrodes and notify relevant technicians to check the set electrodes until the connectivity check of all the set electrodes is normal. All the set electrodes are powered by the power supply device, and the resistivity data of different strata in the peat resource target area are collected as the first measurement data.

[0035] See also Figure 4 In some embodiments, step S103 may include but is not limited to steps S401 to S402: Step S401, determining a plurality of second control points according to the detection network, and determining measurement parameters according to the plurality of second control points; wherein the measurement parameters include a starting point and an end point of a measurement line; Step S402: performing radar measurement on the peat resource target area according to the measurement parameters and preset radar measurement parameters to determine second measurement data.

[0036] In step S401 of some embodiments, in the detection network constructed in the peat resource target area, several control points for another test method are selected, and based on the selected control points, the corresponding test device of the test method is set; in this embodiment, the peat resource target area is measured by geological radar, and the starting point and end point of the survey line in the constructed detection network are coincident with the selected control points, and based on the selected control points, dual-frequency synchronous measurement of a certain frequency is performed on the strata of the peat resource target area along the survey line to improve the vertical resolution and detection depth of the measurement results.

[0037] In step S402 of some embodiments, based on the selected control points and the constructed starting and ending points of the survey line, radar measurement is performed on the strata in the peat resource target area according to the set detection parameters, such as a speed of 1 m / s; in this embodiment, a medium-frequency antenna is used to perform uniform dual-frequency synchronous measurement along the laid survey lines and control points to record the reflection characteristics of the electromagnetic waves emitted by the geological radar and the influence of different geological stratifications along the survey line on the transmission speed of the electromagnetic waves in the demarcated peat resource target area to obtain corresponding measurement data; by combining the antenna, simultaneous detection is carried out along the physical detection line laid in the peat resource target area to improve the detection depth and longitudinal resolution.

[0038] See also Figure 5 In some embodiments, step S104 may include but is not limited to steps S501 to S502: Step S501, preprocessing the first measurement data to determine the third measurement data, and performing data inversion on the third measurement data according to a preset algorithm to determine the first section data set; Step S502, comparing the first section data set with the first preset stratification relationship, determining the first section data, and taking the first section data as the first interpretation result; wherein the first section data includes a plurality of stratum distribution data.

[0039] In step S501 of some embodiments, after the high-density electrical measurement data is acquired, the high-density electrical measurement data is preprocessed such as data cleaning to remove abnormal data; then the preprocessed high-density electrical measurement data is inverted using methods such as the least squares method and the finite element method to obtain inversion section data along the survey line within the peat resource target area.

[0040] In step S502 of some embodiments, after the data obtained by high-density electrical measurement are inverted to obtain the inversion cross-section diagram along the survey line in the peat resource target area, the corresponding stratigraphic stratification index is set according to the difference in electrical parameters of different stratigraphic structures; the different strata in the obtained inversion cross-section diagram are marked according to the set stratigraphic stratification index, and the interfaces between different strata are divided; for example, the resistivity of the peat layer is 11.5 to 32.1 , the areas in the inversion section where the resistivity falls within this range are identified as peat layers.

[0041] See also Figure 6 In some embodiments, step S104 may include but is not limited to steps S601 to S602: Step S601, preprocessing the second measurement data to determine second section data; comparing the second section data with the second preset layer relationship to determine first layer data; Step S602: divide the first layered data according to a second preset measurement parameter to determine a second interpretation result.

[0042] In step S601 of some embodiments, corresponding data processing is performed on the geological radar data obtained by geological radar detection, the influence of the measurement environment on the geological radar detection results is corrected, the noise in the detection data is filtered out, and the stratigraphic profile along the survey line set in the peat resource target area is output; then, the obtained stratigraphic profile is compared with the preset stratigraphic stratification relationship, and the different stratigraphic structures in the stratigraphic profile are identified according to the comparison results; wherein the preset stratigraphic stratification relationship is established based on the differences in wave velocity and reflection characteristics of electromagnetic waves emitted by the geological radar to different strata.

[0043] In step S602 of some embodiments, the burial depth of peat resources underground is inferred based on the conditions for the generation of peat resources, and the determined burial depth is used as the lower limit depth. The wave velocity and reflection characteristics of electromagnetic waves emitted by the geological radar in different stratigraphic structures from the ground to the lower limit depth are recorded; the stratigraphic profile from the ground to the lower limit depth is marked to divide the interfaces between different stratigraphic layers, thereby reducing the interference of deeper stratigraphic layers on the judgment of peat resource layers, reducing the amount of data that needs to be processed, and improving the processing and analysis efficiency.

[0044] See also Figure 7 In some embodiments, step S104 may include but is not limited to steps S701 to S703: Step S701, comparing the first interpretation result and the second interpretation result to determine a comparison result; wherein the comparison result includes formation interface data; Step S702, adjusting the interface of the first interpretation result according to the comparison result and the historical geological data to determine the first stratigraphic data; adjusting the interface of the second interpretation result according to the comparison result and the historical geological data to determine the second stratigraphic data; Step S703, modeling is performed based on the first stratigraphic data and the second stratigraphic data to determine a stratigraphic model of the target area, and the stratigraphic model of the target area is used as a peat resource detection result.

[0045] In step S701 of some embodiments, due to the complexity of the stratigraphic structure, the detection data obtained by different detection methods are interpreted, and different stratigraphic structure distributions are obtained; the interpretation results of different detection data are mutually verified, and the stratigraphic structure distributions defined respectively are adjusted to obtain a more accurate distribution of peat resources; in this embodiment, the stratigraphic structure map obtained by the high-density electrical method is superimposed and compared with the stratigraphic structure map obtained by geological radar measurement, and based on the electrical properties of different stratigraphic structures and their influence on electromagnetic waves and reflection characteristics, the two stratigraphic structure maps are compared to identify the same stratigraphic structure, and the properties and interface stratification of the same stratigraphic structure are determined.

[0046] In step S702 of some embodiments, interfaces of two different stratigraphic structures are adjusted respectively according to the comparison results of the two different stratigraphic structure maps. In the present embodiment, since the stratigraphic structure of the peat resource layer is loose and the water content is high, the resistivity of the peat resource layer is low and the electromagnetic wave reflection signal is weak. The interfaces of different stratigraphic structures in the stratigraphic stratification map obtained by high-density electrical method are adjusted according to the electromagnetic wave reflection characteristics to reduce detection errors caused by similar areas of different stratigraphic structures or similar structures but similar resistivities. Similarly, the interfaces of different stratigraphic structures in the stratigraphic stratification map obtained by geological radar detection are adjusted according to the resistivity to reduce the problems of uneven interfaces and inaccurate stratification between different stratigraphic structures.

[0047] In step S703 of some embodiments, a stratigraphic structure model of the peat resource target area is established based on the stratigraphic stratification map obtained by the adjusted high-density electrical method and the stratigraphic stratification map obtained by geological radar detection. The stratigraphic distribution of the peat layer development under the peat resource target area is intuitively determined through the established stratigraphic model, which facilitates the subsequent evaluation and development and utilization of peat resources in the area.

[0048] The following is a detailed introduction and description of the solution of the present invention in conjunction with specific application examples: Please refer to Figure 8 ,according to Figure 8The method steps shown implement a peat resource detection method provided by an embodiment of the present invention, select a low-latitude coastal area to be detected for peat resource detection, and collect historical geological survey data and digital elevation model remote sensing images in the area to be detected; wherein the historical geological survey data include sea level fluctuation data of the area to be detected during the Holocene period, ground subsidence data in the area; distribution data of ancient lagoons, ancient bays and ancient estuaries along the coast of the area, distribution data of organic matter content in the surface soil in the area, and geological drilling and geophysical exploration data in the area; from the digital elevation model The elevation data map of the area to be detected is extracted from the remote sensing image. Since the peat resources in the low-latitude coastal areas were mainly formed in the Holocene, the sea level was 5 meters higher than the current sea level during this geological period. Therefore, it can be inferred that the peat resource layer in this area is mainly distributed between 0 and 5 meters in elevation. Since there may be regional differences in ground subsidence or ground uplift in the coastal area during the historical geological period, resulting in some areas being higher than 0 to 5 meters in elevation or lower than 0 to 5 meters in elevation, the area with an altitude of 0 to 10 meters is selected as the peat resource target area, such as Fig. 9 As shown in the figure, the historical geological data of the peat resource target area are selected from the collected historical geological survey data, and the ancient lagoons, ancient estuaries and other areas distributed in the peat resource target area are analyzed; because these areas provide the conditions for the development of peat resources, these areas are marked and further analyzed to delineate the peat resource target area; then, the historical sea level fluctuations, ground subsidence and other data of the marked area are selected based on the geological survey data, as shown in the figure. Fig.10 As shown in the figure, two periods favorable for the formation of peat resources are marked, namely 3.0-2.2 ka BP and 1.5-1.3 ka BP. The formation layer and location information of peat resources are analyzed based on the screened historical sea level fluctuations, ground subsidence and other data, and peat resource target areas are delineated in the marked areas for peat resource exploration; geological drilling is carried out in the delineated peat resource target areas based on historical geological survey data, and core samples are collected for corresponding testing and analysis to determine the lithology and physicochemical properties of different stratigraphic structures in the vertical direction, such as Fig.11 As shown in the figure, the designated peat resource target area includes light yellow clay, dense gray clay, gray low plasticity clay and dark gray peat layer with high organic matter in the vertical direction. Different lithologies have different densities and organic matter contents. According to the lithological properties and physicochemical properties obtained by analysis, the distinguishing indicators between different lithologies are determined. Then, geophysical detection lines are arranged in the designated peat resource target area. High-density electrical measurement and geological radar measurement are carried out according to the set geophysical detection lines to obtain corresponding measurement data. The measurement data obtained by high-density electrical measurement are inverted to obtain the following: Fig.12The inversion cross-section layer diagram of the survey line is shown in the figure. Similarly, the measurement data obtained by geological radar detection is processed to obtain the following Fig.13 The geological radar section stratification map shown in the figure; the obtained survey line inversion section stratification map and the geological radar section stratification map are superimposed and analyzed to determine the distribution of the peat layer, and the obtained survey line inversion section stratification map and the geological radar section stratification map are comprehensively analyzed with the sample lithology structure obtained by geological drilling and analysis, as shown in Figures 14 (a) and 14 (b), the interface between the peat layer and different stratigraphic structures is adjusted, and the target area stratigraphic model shown in Figure 14 (c) is established, in which the peat layer is marked.

[0049] Implementation of the embodiments of the present invention includes the following beneficial effects: the embodiments provide a peat resource detection method, system, electronic device and storage medium, which obtains historical geological data and remote sensing image data of the area to be detected, analyzes the data according to a preset height value, the historical geological data and the remote sensing image data, and determines the peat resource target area; lays out the detection line according to the determined peat resource target area, the preset spacing and the preset font, and determines the detection network; measures the peat resource target area based on the detection network to determine the first measurement data and the second measurement data; interprets the first measurement data and the second measurement data respectively to determine the corresponding interpretation results; conducts a comprehensive analysis based on the obtained interpretation results to determine the peat resource detection results; delineates the peat resource target area in combination with the historical geological data and the remote sensing image data; constructs a detection network in the peat resource target area according to the preset spacing, uses different detection methods to detect according to the detection network, determines different detection data, conducts a comprehensive analysis based on the different detection data, determines the peat resource detection results, and improves the detection accuracy of the peat resources.

[0050] like Fig.15 As shown, an embodiment of the present invention further provides a peat resource detection system, which can implement the above-mentioned peat resource detection method, including: The first module is used to obtain historical geological data and remote sensing image data of the area to be detected, and to analyze the remote sensing image data, the preset height value and the historical geological data to determine the peat resource target area; The second module is used to lay out the physical detection line according to the peat resource target area, the preset spacing and the preset font, and determine the detection network; The third module is used to perform a first measurement on the peat resource target area according to the detection network to determine first measurement data; perform a second measurement on the peat resource target area according to the detection network to determine second measurement data; The fourth module is used to interpret the first measurement data to determine a first interpretation result; interpret the second measurement data to determine a second interpretation result; and perform a comprehensive analysis based on the first interpretation result and the second interpretation result to determine a peat resource detection result.

[0051] It can be seen that the contents of the above method embodiments are all applicable to the present system embodiments, the functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0052] The embodiment of the present invention further provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned peat resource detection method when executing the computer program. The electronic device can be any intelligent terminal including a tablet computer, a car computer, etc.

[0053] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0054] See also Fig.16 , Fig.16 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes: The processor 1601 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application; The memory 1602 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device or a random access memory (RAM). The memory 1602 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1602, and the processor 1601 is called to execute a peat resource detection method of the embodiment of this application; Input / output interface 1603, used to implement information input and output; Communication interface 1604, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.); A bus 1605 that transmits information between the various components of the device (e.g., the processor 1601, the memory 1602, the input / output interface 1603, and the communication interface 1604); The processor 1601 , the memory 1602 , the input / output interface 1603 and the communication interface 1604 are connected to each other in communication within the device via the bus 1605 .

[0055] Among them, the memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. The memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a remote memory remotely arranged relative to the processor, and these remote memories may be connected to the processor 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.

[0056] In addition, the embodiment of the present application also discloses a computer program product or a computer program, and the computer program product or the computer program is stored in a computer-readable storage medium. The processor of the computer device can read the computer program from the computer-readable storage medium, and the processor executes the computer program, so that the computer device performs the above method. Similarly, the contents in the above method embodiment are all applicable to the storage medium embodiment, and the functions specifically implemented by the storage medium embodiment are the same as those in the above method embodiment, and the beneficial effects achieved are also the same as those achieved by the above method embodiment.

[0057] An embodiment of the present invention further provides a computer-readable storage medium, which stores a program executable by a processor. The program executable by the processor is used to implement the above method when executed by the processor.

[0058] It is understood that all or some of the steps and systems in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those of ordinary skill in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0059] The above is a specific description of the preferred implementation of the present invention, but the invention is not limited to the embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A peat resource detection method, characterized in that: The method comprises: Determine the peat resource target area based on the preset height value, the acquired remote sensing image data and the acquired historical geological data; Arrange physical detection lines according to the peat resource target area and preset detection network parameters to determine the detection network; Performing a first measurement on the peat resource target area according to the detection network to determine first measurement data; performing a second measurement on the peat resource target area according to the detection network to determine second measurement data; The first measurement data is interpreted to determine a first interpretation result; the second measurement data is interpreted to determine a second interpretation result; and a comprehensive analysis is performed based on the first interpretation result and the second interpretation result to determine a peat resource detection result.

2. The method according to claim 1, characterized in that The analysis based on the remote sensing image data, the preset height value and the historical geological data to determine the peat resource target area specifically includes: Performing regional division according to the preset height value and the remote sensing image data to determine the peat resource target area; Extract data based on the historical geological data and the peat resource target area to determine a first data set; wherein the first data set includes any combination of ancient lagoons, ancient estuary bay distribution areas, high organic carbon value areas or drilling data within the peat resource target area; Overlay analysis is performed on the data in the first data set to determine overlapping areas, and the overlapping areas are used as the peat resource target areas.

3. The method according to claim 1, characterized in that The first measurement of the peat resource target area according to the detection network to determine the first measurement data specifically includes: Determine a plurality of first control points according to the detection network, set electrodes at the first control points, and perform connectivity checks on the electrodes at the plurality of first control points to determine test results; If the test result shows that all electrodes are connected normally, the peat resource target area is measured according to the first preset measurement parameters and the electrodes at the first control points to determine the first measurement data; If the test result shows that there is abnormal electrode connectivity, the electrodes at several of the first control points are checked until the test result shows that all electrodes are connected normally. The peat resource target area is measured according to the first preset measurement parameters and the electrodes at several of the first control points to determine the first measurement data.

4. The method according to claim 1, characterized in that: The performing a second measurement on the peat resource target area according to the detection network to determine the second measurement data specifically includes: Determine a plurality of second control points according to the detection network, and determine measurement parameters according to the plurality of second control points; wherein the measurement parameters include a starting point and an end point of a survey line; The peat resource target area is subjected to radar measurement according to the measurement parameters and preset radar measurement parameters to determine the second measurement data.

5. The method according to claim 1, characterized in that The interpreting the first measurement data to determine a first interpretation result specifically includes: Preprocessing the first measurement data to determine third measurement data, and performing data inversion on the third measurement data according to a preset algorithm to determine a first section data set; The first section data set is compared with a first preset stratification relationship to determine first section data, and the first section data is used as the first interpretation result; wherein the first section data includes a plurality of stratum distribution data.

6. The method according to claim 1, characterized in that The interpreting the second measurement data to determine a second interpretation result specifically includes: Preprocessing the second measurement data to determine second section data; comparing the second section data with a second preset layer relationship to determine first layer data; The first layered data is divided according to a second preset measurement parameter to determine the second interpretation result.

7. The method according to claim 1, characterized in that The comprehensive analysis based on the first interpretation result and the second interpretation result to determine the peat resource detection result specifically includes: Comparing the first interpretation result and the second interpretation result to determine a comparison result; wherein the comparison result includes formation interface data; According to the comparison result and the historical geological data, the first interpretation result is interface-adjusted to determine the first stratigraphic data; according to the comparison result and the historical geological data, the second interpretation result is interface-adjusted to determine the second stratigraphic data; Modeling is performed based on the first stratigraphic data and the second stratigraphic data to determine a target area stratigraphic model, and the target area stratigraphic model is used as the peat resource detection result.

8. A peat resource detection system, characterized in that: include: The first module is used to determine the peat resource target area based on the preset height value, the acquired remote sensing image data and the acquired historical geological data; The second module is used to lay out the physical detection line according to the peat resource target area and the preset detection network parameters, and determine the detection network; The third module is used to perform a first measurement on the peat resource target area according to the detection network to determine first measurement data; perform a second measurement on the peat resource target area according to the detection network to determine second measurement data; A fourth module is used to interpret the first measurement data and determine a first interpretation result; interpreting the second measurement data to determine a second interpretation result; A comprehensive analysis is performed based on the first interpretation result and the second interpretation result to determine the peat resource detection result.

9. An electronic device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a program executable by a processor, characterized in that: The processor-executable program is used to perform the method according to any one of claims 1 to 7 when executed by the processor.

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