A method for identifying lead-zinc-molybdenum-tungsten deposits based on the ore-control model of thermal entropy theory

Abstract

The invention provides a method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model. Based on detecting representative values ​​of thermal entropy changes in different regions and detecting representative values ​​of thermal entropy changes at different depths in the same region, thermal entropy change curves for detecting different regions and thermal entropy change curves for detecting the same depth in different regions are respectively obtained. A representative entropy value in the detection region is subtracted from a representative value of a thermal entropy gradient, the difference is used as a conclusion determination value, and the conclusion determination value is compared with the conclusion determination value. If the conclusion determination value is greater than or equal to the conclusion determination value, it is determined that the thermal entropy gradient is large, and a lead-zinc-molybdenum-tungsten deposit exists in the detection region. The distribution state and complexity of materials in the geological mine can be quantified by detecting the representative entropy value in the detection region, and the potential value of the deposit can be intuitively inferred. The thermal entropy gradient reflects the degree of influence of the temperature change on the distribution of minerals.

Description

Technical Field

[0001] The invention belongs to the technical field of geological mineral thermodynamic mineral resource exploration, and specifically is a method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model. Background Art

[0002] In the field of geology, mineral distribution, magma activity, tectonic changes, etc. in geological bodies will cause changes in thermal entropy. Thermal entropy theory is used to explain the processes of material migration, energy conversion and chemical reactions in the earth's crust. These changes are closely related to the formation and distribution of mineral deposits.

[0003] A Chinese patent application with publication number CN114255829B discloses a method for identifying a new type of manganese deposit. In the process of endogenous and exogenous mineralization leading to the formation of a new type of manganese ore, the method identifies the mineralization structure that controls the new type of manganese deposit, the ore phase space zoning, structural structure, altered minerals and geochemical markers formed.

[0004] In the existing technology, only the work steps and specific identification indicators are provided to determine whether it is a "new type of manganese deposit". Since manganese deposits of different genetic types have different prediction models and exploration methods, it can provide a technical solution for my country to explore and discover this new type of large and super-large manganese-rich deposits and solve the problem of my country's manganese ore resources being wasted. There is no quantitative analysis of the distribution state and complexity of materials in geological mines based on the detection of entropy value changes in the deposit area, nor is there a trend in the change of thermal entropy gradient to reflect the degree of influence of such temperature changes on the distribution of minerals.

[0005] To this end, the present invention provides a method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore-control model. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model, comprising the following steps:

[0008] Step 1: Detect geological data in the detection area to obtain change data in the detection area;

[0009] Step 2: Detect environmental data in the detection area to obtain the entropy value in the detection area, where the environmental data includes temperature change and pressure change between ores;

[0010] Step 3: Processing the geological data and environmental data to obtain a representative value of thermal entropy change, and based on the representative value of thermal entropy change, obtaining a conclusion on the lead-zinc-molybdenum-tungsten deposit;

[0011] In step three, based on the representative values ​​of thermal entropy changes in different regions and the representative values ​​of thermal entropy changes at different depths in the same region, a thermal entropy change curve graph for detecting different regions and a thermal entropy change curve graph for detecting the same depth in different regions are obtained respectively;

[0012] Based on the thermal entropy gradient values ​​in the horizontal dimensions of different regions and the thermal entropy gradient values ​​in the height dimensions of different depths, the square values ​​of the thermal entropy gradient values ​​in the horizontal dimensions of different regions and the square values ​​of the thermal entropy gradient values ​​in the height dimensions of different depths are summed and taken to the power to obtain the representative value of the thermal entropy gradient;

[0013] Based on the representative entropy value and thermal entropy gradient representative value in the detection area, the conclusion of lead-zinc-molybdenum-tungsten deposit was obtained;

[0014] The representative entropy value in the detection area is subtracted from the representative value of the thermal entropy gradient, the difference is used as the conclusion judgment value, and the conclusion judgment value is compared with the conclusion judgment threshold. The comparison process is as follows;

[0015] If the conclusion judgment value is greater than or equal to the conclusion judgment threshold, it is judged that the thermal entropy gradient is large and there is a lead-zinc-molybdenum-tungsten deposit in the detected area;

[0016] If the conclusion judgment value is less than the conclusion judgment threshold, it is judged that the thermal entropy gradient is small and there is no lead-zinc-molybdenum-tungsten deposit in the detected area;

[0017] Step 4: Compare the numerical value determined based on the conclusion of the lead-zinc-molybdenum-tungsten deposit with the threshold range determined by the previous conclusion of the lead-zinc-molybdenum-tungsten deposit to verify the conclusion of the lead-zinc-molybdenum-tungsten deposit.

[0018] As a further explanation of the invention: In step 2, the detection area is divided into several sub-unit areas, and the specific process of sampling in each sub-unit is as follows:

[0019] A1, obtaining temperature data in different time periods, processing the temperature data in different time periods, and obtaining a representative value of temperature change in the detection subunit area;

[0020] A2, obtaining the pressure variation between ores in different periods, processing the pressure variation between ores in different periods, and obtaining the representative value of the pressure variation between ores in the detection area;

[0021] A3, based on the representative value of temperature change in the detection area and the representative value of pressure change between ores in the detection area, a representative entropy value in the detection area is obtained;

[0022] A301, obtain the constant pressure heat capacity value of the ore in the detection area;

[0023] A302, based on the constant-pressure heat capacity value of the ore in the detection area, the representative value of the temperature change in the detection area and the representative value of the pressure change between the ores in the detection area, processing is performed to obtain a representative entropy value in the detection area.

[0024] As a further explanation of the invention: In A301, the heat capacity value of the ore in the detection area is tested at a constant pressure, and the specific process is as follows:

[0025] Under constant pressure, obtain the heat change of the ore in the detection area and the corresponding detection temperature change, express the heat change and the corresponding detection temperature change in the form of a coordinate system curve graph, obtain the values ​​corresponding to the heat change curve graph and the detection temperature change curve graph in the same time subunit, make a ratio based on the values ​​corresponding to the heat change curve graph and the detection temperature change curve graph, and use the ratio as the constant pressure heat capacity value of the ore in the same time subunit;

[0026] The constant-pressure heat capacity values ​​of the ore in different time subunits are summed and averaged, and the average value is used as the constant-pressure detection heat capacity value of the ore in the detection area.

[0027] As the invention is further described: by the formula: The representative entropy value in the detection area is obtained, V1 and V2 are the initial and final volumes, CP is represented by the constant pressure heat capacity of the ore, and α and β are represented by the preset proportional coefficients.

[0028] As a further explanation of the invention: In A1, the process of obtaining the representative value of the temperature change in the subunit area is as follows:

[0029] A101, placing a plurality of thermal resistors in the subunit of the detection area, connecting the plurality of thermal resistors to the temperature acquisition system, and obtaining temperature data of different time periods in the subunit area;

[0030] A102, calculating an average value of the temperature data of different time periods in the sub-unit area, and taking the average value as a representative value of the temperature in the sub-unit area;

[0031] A103, calculating a weighted average value based on the temperature representative values ​​in several groups of sub-unit areas, and using the weighted average value as the temperature representative value in the detection area.

[0032] As a further explanation of the invention: In A2, the process of obtaining the representative value of the pressure change between the ores in the detection area is as follows:

[0033] A201, in the same period, collects several kinds of rocks for stress detection, and obtains the stress-strain curve of each rock during the stress detection process;

[0034] A202, based on the stress-strain curve of the rock, obtain the failure point on the measured rock stress-strain curve, record the stress value represented by the failure point, and use the stress value as the representative value of the measured rock stress;

[0035] A203, based on the sum of the measured representative values ​​of each rock stress, the average value is taken as the representative value of the pressure between ores in the same period;

[0036] A204, calculating the square difference value based on the representative pressure values ​​between the ores in several groups in different periods, and taking the square difference value as the representative value of the pressure change between the ores in the detection area.

[0037] As a further explanation of the invention: In step three, the conclusion of the lead-zinc-molybdenum-tungsten deposit is determined based on the representative value of the thermal entropy gradient, and the following steps are also included:

[0038] B1, based on the thermal entropy change curves detected in different areas, the thermal entropy values ​​in different areas are subtracted, and the difference is divided by the horizontal distance between different areas to obtain the thermal entropy gradient values ​​in the horizontal dimension of different areas;

[0039] B2, based on the thermal entropy change curve at different depths in the same area, the thermal entropy values ​​at different depths in the same area are subtracted, and the difference is divided by the height distance between different depths in the same area to obtain the thermal entropy gradient value at different depths in the height dimension.

[0040] As a further explanation of the invention: In step 4, the representative entropy value and the representative value of the thermal entropy gradient of the detected area are compared with the representative entropy value and the thermal entropy gradient value of the known mineral deposit to obtain the overlap and deviation between the detected area and the known area data. The specific process is as follows:

[0041] C1, the representative entropy value of the detection area and the representative value of the thermal entropy gradient are combined into a detection area data set denoted as |X|;

[0042] C2, the representative entropy values ​​and thermal entropy gradient values ​​of known mineral deposits are combined into a known mineral deposit area data set denoted as |Y|;

[0043] C3, based on the detection area data collection |X| and the known mineral deposit area data collection |Y|, the overlapped collection of the detection area data collection and the known mineral deposit area data collection is obtained and recorded as |X|∩|Y|;

[0044] C4, based on the detection area data collection |X| and the known mineral deposit area data collection |Y|, the deviation collection of the detection area data collection and the known mineral deposit area data collection is obtained and recorded as |X|∪|Y|-|X|∩|Y|.

[0045] As a further explanation of the invention: based on the coincidence collection of the detection area data collection and the known ore deposit area data collection data recorded as |X|∩|Y| and the deviation collection of the detection area data collection and the known ore deposit area data collection data recorded as |X|∪|Y|-|X|∩|Y|, the coincidence rate and deviation rate between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit are obtained;

[0046] By formula: Obtain the coincidence rate K between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known mineral deposit;

[0047] By formula: The deviation rate L between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known ore deposit is obtained.

[0048] As a further explanation of the invention: the coincidence rate K between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit is compared with the deviation rate L between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit, and the comparison process is as follows:

[0049] If the coincidence rate K between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit is greater than or equal to the deviation rate L between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit, then the detection conclusion is determined to be accurate;

[0050] If the overlap rate K between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known mineral deposit is less than or equal to the deviation rate L between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known mineral deposit, the detection conclusion is judged to be inaccurate.

[0051] The beneficial effects of the present invention are as follows:

[0052] 1. The present invention discloses a method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model. Based on the representative value of thermal entropy change in different regions and the representative value of thermal entropy change at different depths in the same region, a thermal entropy change curve diagram for detecting different regions and a thermal entropy change curve diagram for detecting the same depth in different regions are obtained respectively. The representative entropy value in the detection region is subtracted from the representative value of the thermal entropy gradient, and the difference is used as the conclusion judgment value. The conclusion judgment value is compared with the conclusion judgment threshold. If the conclusion judgment value is greater than or equal to the conclusion judgment threshold, it is determined that the thermal entropy gradient is large, and a lead-zinc-molybdenum-tungsten deposit exists in the detection region; if the conclusion judgment value is less than the conclusion judgment threshold, it is determined that the thermal entropy gradient is small, and no lead-zinc-molybdenum-tungsten deposit exists in the detection region; the representative entropy value in the detection region can be used to quantify the distribution state and complexity of the material in the geological mine, and the potential value of the deposit can be intuitively inferred, while the thermal entropy gradient reflects the degree of influence of such temperature change on the distribution of minerals;

[0053] 2. The present invention discloses a method for identifying lead-zinc-molybdenum-tungsten deposits based on a thermal entropy theory ore control model. The representative entropy value and thermal entropy gradient representative value of the detected detection area are compared with the representative entropy value and thermal entropy gradient value of a known deposit to obtain the overlap and deviation between the detection area and the known area data. The overlap rate K between the representative entropy value and thermal entropy gradient representative value of the detection area and the representative entropy value and thermal entropy gradient value of the known deposit is compared with the deviation rate L between the representative entropy value and thermal entropy gradient representative value of the detection area and the representative entropy value and thermal entropy gradient value of the known deposit. If the overlap rate K between the representative entropy value and thermal entropy gradient representative value of the detection area and the representative entropy value and thermal entropy gradient value of the known deposit is greater than or equal to the deviation rate L between the representative entropy value and thermal entropy gradient representative value of the detection area and the representative entropy value and thermal entropy gradient value of the known deposit, the detection conclusion is determined to be accurate. Otherwise, the detection conclusion is determined to be inaccurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] Figure 1 is a flow chart of Embodiment 1 of the present invention;

[0056] Figure 2 It is a flow chart of the second embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0058] Embodiment 1

[0059] like Figure 1As shown, a method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model according to an embodiment of the present invention comprises the following steps:

[0060] Step 1: Detect geological data in the detection area to obtain change data in the detection area;

[0061] Step 2: Detect environmental data in the detection area to obtain the entropy value in the detection area, where the environmental data includes temperature change and pressure change between ores;

[0062] The detection area is divided into several sub-units, and the specific process of sampling in each sub-unit is as follows:

[0063] A1, obtain temperature data in different time periods, process the temperature data in different time periods, and obtain representative values ​​of temperature changes in the detection subunit area. The specific processing process is as follows:

[0064] A101, placing a plurality of thermal resistors in the subunit of the detection area, connecting the plurality of thermal resistors to the temperature acquisition system, and obtaining temperature data of different time periods in the subunit area;

[0065] A102, calculating an average value of the temperature data of different time periods in the sub-unit area, and taking the average value as a representative value of the temperature in the sub-unit area;

[0066] A103, calculating a weighted average value based on the temperature representative values ​​in the plurality of groups of sub-unit regions, and using the weighted average value as the temperature representative value in the detection region;

[0067] A2, obtain the pressure change between ores in different cycles, process the pressure change between ores in different cycles, and obtain the representative value of the pressure change between ores in the detection area. The specific processing process is as follows:

[0068] A201, in the same cycle, collects several rocks for stress detection, and obtains the stress-strain curve of each rock during the stress detection process;

[0069] A202, based on the stress-strain curve of the rock, obtain the failure point on the measured rock stress-strain curve, record the stress value represented by the failure point, and use the stress value as the representative value of the measured rock stress;

[0070] A203, based on the sum of the measured representative values ​​of each rock stress, the average value is taken as the representative value of the pressure between ores in the same period;

[0071] A204, obtaining a square difference value based on the pressure representative values ​​between the ores in different periods, and using the square difference value as a representative value of the pressure change between the ores in the detection area;

[0072] A3, based on the representative value of temperature change in the detection area and the representative value of pressure change between ores in the detection area, a representative entropy value in the detection area is obtained;

[0073] A301, obtain the constant pressure heat capacity value of the ore in the detection area:

[0074] In A301, the heat capacity value of the ore in the detection area is tested at a constant pressure. The specific process is as follows:

[0075] Under constant pressure, obtain the heat change of the ore in the detection area and the corresponding detection temperature change, express the heat change and the corresponding detection temperature change in the form of a coordinate system curve graph, obtain the values ​​corresponding to the heat change curve graph and the detection temperature change curve graph in the same time subunit, make a ratio based on the values ​​corresponding to the heat change curve graph and the detection temperature change curve graph, and use the ratio as the constant pressure heat capacity value of the ore in the same time subunit;

[0076] Based on the constant-pressure heat capacity values ​​of the ore in different time sub-units, the average value is summed and taken, and the average value is used as the constant-pressure detection heat capacity value of the ore in the detection area;

[0077] A302, based on the constant pressure heat capacity value of the ore in the detection area, the representative value of the temperature change in the detection area, and the representative value of the pressure change between the ores in the detection area, a representative entropy value in the detection area is obtained;

[0078] By formula: The representative entropy value in the detection area is obtained, V1 and V2 are the initial and final volumes, CP is the constant pressure heat capacity of the ore, and α and β are the preset proportional coefficients;

[0079] Step 3: Based on the geological data and environmental data, the representative value of thermal entropy change is obtained. Based on the representative value of thermal entropy change, the conclusion of lead-zinc-molybdenum-tungsten deposit is obtained. The specific processing process is as follows:

[0080] In step three, based on the representative values ​​of thermal entropy changes in different regions and the representative values ​​of thermal entropy changes at different depths in the same region, a thermal entropy change curve graph for detecting different regions and a thermal entropy change curve graph for detecting the same depth in different regions are obtained respectively;

[0081] B1, based on the thermal entropy change curves detected in different areas, the thermal entropy values ​​in different areas are subtracted, and the difference is divided by the horizontal distance between different areas to obtain the thermal entropy gradient values ​​in the horizontal dimension of different areas;

[0082] B2, based on the thermal entropy change curve at different depths in the same area, the thermal entropy values ​​at different depths in the same area are subtracted, and the difference is divided by the height distance between different depths in the same area to obtain the thermal entropy gradient value in the height dimension at different depths;

[0083] B3, based on the thermal entropy gradient values ​​in the horizontal dimension of different regions and the thermal entropy gradient values ​​in the height dimension of different depths, the square values ​​of the thermal entropy gradient values ​​in the horizontal dimension of different regions and the square values ​​of the thermal entropy gradient values ​​in the height dimension of different depths are summed and taken to the power to obtain the representative value of the thermal entropy gradient;

[0084] Based on the representative entropy value and thermal entropy gradient representative value in the detection area, the conclusion of lead-zinc-molybdenum-tungsten deposit was obtained;

[0085] The representative entropy value in the detection area is subtracted from the representative value of the thermal entropy gradient, the difference is used as the conclusion judgment value, and the conclusion judgment value is compared with the conclusion judgment threshold. The comparison process is as follows;

[0086] If the conclusion judgment value is greater than or equal to the conclusion judgment threshold, it is judged that the thermal entropy gradient is large and there is a lead-zinc-molybdenum-tungsten deposit in the detected area;

[0087] If the conclusion judgment value is less than the conclusion judgment threshold, it is judged that the thermal entropy gradient is small and there is no lead-zinc-molybdenum-tungsten deposit in the detected area;

[0088] Embodiment 2

[0089] Step 4: Compare the determined value based on the conclusion of the lead-zinc-molybdenum-tungsten deposit with the threshold interval range determined by the previous conclusion of the lead-zinc-molybdenum-tungsten deposit to verify the conclusion of the lead-zinc-molybdenum-tungsten deposit;

[0090] In step 4, the representative entropy value and thermal entropy gradient representative value of the detected area are compared with the representative entropy value and thermal entropy gradient value of the known mineral deposit to obtain the overlap and deviation between the detected area and the known area data. The specific process is as follows:

[0091] C1, the representative entropy value of the detection area and the representative value of the thermal entropy gradient are combined into a detection area data set denoted as |X|;

[0092] C2, the representative entropy values ​​and thermal entropy gradient values ​​of known mineral deposits are combined into a known mineral deposit area data set denoted as |Y|;

[0093] C3, based on the detection area data collection |X| and the known mineral deposit area data collection |Y|, the overlapped collection of the detection area data collection and the known mineral deposit area data collection is obtained and recorded as |X|∩|Y|;

[0094] C4, based on the detection area data collection |X| and the known mineral deposit area data collection |Y|, the deviation collection of the detection area data collection and the known mineral deposit area data collection is obtained and recorded as |X|∪|Y|-|X|∩|Y|;

[0095] C5, based on the coincidence set of the detection area data set and the known ore deposit area data set denoted as |X|∩|Y| and the deviation set of the detection area data set and the known ore deposit area data set denoted as |X|∪|Y|-|X|∩|Y|, the coincidence rate and deviation rate between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit are obtained;

[0096] C501, by formula: Obtain the coincidence rate K between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known mineral deposit;

[0097] C502, by formula: Obtain the deviation rate L between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known mineral deposit;

[0098] If the coincidence rate K between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit is greater than or equal to the deviation rate L between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit, then the detection conclusion is determined to be accurate;

[0099] If the overlap rate K between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known mineral deposit is less than or equal to the deviation rate L between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known mineral deposit, the detection conclusion is judged to be inaccurate.

[0100] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for identifying lead-zinc-molybdenum-tungsten deposits based on a thermal entropy theory ore control model, characterized in that: The following steps are involved: Step 1: Detect geological data in the detection area to obtain change data in the detection area; Step 2: Detect environmental data in the detection area to obtain the entropy value in the detection area, where the environmental data includes temperature change and pressure change between ores; Step 3: Processing the geological data and environmental data to obtain a representative value of thermal entropy change, and based on the representative value of thermal entropy change, obtaining a conclusion on the lead-zinc-molybdenum-tungsten deposit; In step three, based on the representative values ​​of thermal entropy changes in different regions and the representative values ​​of thermal entropy changes at different depths in the same region, a thermal entropy change curve graph for detecting different regions and a thermal entropy change curve graph for detecting the same depth in different regions are obtained respectively; Based on the thermal entropy gradient values ​​in the horizontal dimensions of different regions and the thermal entropy gradient values ​​in the height dimensions of different depths, the square values ​​of the thermal entropy gradient values ​​in the horizontal dimensions of different regions and the square values ​​of the thermal entropy gradient values ​​in the height dimensions of different depths are summed and taken to the power to obtain the representative value of the thermal entropy gradient; The representative entropy value in the detection area is subtracted from the representative value of the thermal entropy gradient, the difference is used as the conclusion judgment value, and the conclusion judgment value is compared with the conclusion judgment threshold. The comparison process is as follows; If the conclusion judgment value is greater than or equal to the conclusion judgment threshold, it is judged that the thermal entropy gradient is large and there is a lead-zinc-molybdenum-tungsten deposit in the detected area; If the conclusion judgment value is less than the conclusion judgment threshold, it is judged that the thermal entropy gradient is small and there is no lead-zinc-molybdenum-tungsten deposit in the detected area; Step 4: Compare the determined value based on the conclusion of the lead-zinc-molybdenum-tungsten deposit with the threshold interval range determined by the previous conclusion of the lead-zinc-molybdenum-tungsten deposit to verify the conclusion of the lead-zinc-molybdenum-tungsten deposit; In step 2, the detection area is divided into several sub-units, and the specific process of sampling in each sub-unit is as follows: A1, obtaining temperature data in different time periods, processing the temperature data in different time periods, and obtaining a representative value of temperature change in the detection subunit area; A2, obtaining the pressure variation between ores in different periods, processing the pressure variation between ores in different periods, and obtaining the representative value of the pressure variation between ores in the detection area; A3, based on the representative value of temperature change in the detection area and the representative value of pressure change between ores in the detection area, a representative entropy value in the detection area is obtained; A301, obtain the constant pressure heat capacity value of the ore in the detection area; A302, based on the constant pressure heat capacity value of the ore in the detection area, the representative value of the temperature change in the detection area and the representative value of the pressure change between the ores in the detection area, a representative entropy value in the detection area is obtained; In A301, the heat capacity value of the ore in the detection area is tested at a constant pressure. The specific process is as follows: Under constant pressure, obtain the heat change of the ore in the detection area and the corresponding detection temperature change, express the heat change and the corresponding detection temperature change in the form of a coordinate system curve graph, obtain the values ​​corresponding to the heat change curve graph and the detection temperature change curve graph in the same time subunit, make a ratio based on the values ​​corresponding to the heat change curve graph and the detection temperature change curve graph, and use the ratio as the constant pressure heat capacity value of the ore in the same time subunit; Based on the constant-pressure heat capacity values ​​of the ore in different time sub-units, the average value is summed and taken, and the average value is used as the constant-pressure detection heat capacity value of the ore in the detection area; By formula: The representative entropy value in the detection area is obtained, V1 and V2 are the initial and final volumes, CP is represented by the constant pressure heat capacity of the ore, and α and β are represented by the preset proportional coefficients.

2. The method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model according to claim 1 is characterized in that: In A1, the process of obtaining the representative value of temperature change in the subunit area is as follows: A101, placing a plurality of thermal resistors in the subunit of the detection area, connecting the plurality of thermal resistors to the temperature acquisition system, and obtaining temperature data of different time periods in the subunit area; A102, calculating an average value of the temperature data of different time periods in the sub-unit area, and taking the average value as a representative value of the temperature in the sub-unit area; A103, calculating a weighted average value based on the temperature representative values ​​in several groups of sub-unit areas, and using the weighted average value as the temperature representative value in the detection area.

3. The method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model according to claim 2 is characterized in that: In A2, the process of obtaining the representative value of the pressure change between the ores in the detection area is as follows: A201, in the same period, collects several kinds of rocks for stress detection, and obtains the stress-strain curve of each rock during the stress detection process; A202, based on the stress-strain curve of the rock, obtain the failure point on the measured rock stress-strain curve, record the stress value represented by the failure point, and use the stress value as the representative value of the measured rock stress; A203, based on the sum of the measured representative values ​​of each rock stress, the average value is taken as the representative value of the pressure between ores in the same period; A204, calculating the square difference value based on the representative pressure values ​​between the ores in several groups in different periods, and using the square difference value as the representative value of the pressure change between the ores in the detection area.

4. The method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model according to claim 1 is characterized in that: In step three, the conclusion of the lead-zinc-molybdenum-tungsten deposit is determined based on the representative value of the thermal entropy gradient, and the following steps are also included: B1, based on the thermal entropy change curves detected in different areas, the thermal entropy values ​​in different areas are subtracted, and the difference is divided by the horizontal distance between different areas to obtain the thermal entropy gradient values ​​in the horizontal dimension of different areas; B2, based on the thermal entropy change curve at different depths in the same area, the thermal entropy values ​​at different depths in the same area are subtracted, and the difference is divided by the height distance between different depths in the same area to obtain the thermal entropy gradient value at different depths in the height dimension.

5. The method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model according to claim 1, characterized in that: In step 4, the representative entropy value and thermal entropy gradient representative value of the detected area are compared with the representative entropy value and thermal entropy gradient value of the known mineral deposit to obtain the overlap and deviation between the detected area and the known area data. The specific process is as follows: C1, the representative entropy value of the detection area and the representative value of the thermal entropy gradient are combined into a detection area data set denoted as |X|; C2, the representative entropy values ​​and thermal entropy gradient values ​​of known mineral deposits are combined into a known mineral deposit area data set denoted as |Y|; C3, based on the detection area data collection |X| and the known mineral deposit area data collection |Y|, the overlapped collection of the detection area data collection and the known mineral deposit area data collection is obtained and recorded as |X|∩|Y|; C4, based on the detection area data collection |X| and the known mineral deposit area data collection |Y|, the deviation collection of the detection area data collection and the known mineral deposit area data collection is obtained and recorded as |X|∪|Y|-|X|∩|Y|.

6. The method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model according to claim 5 is characterized in that: Based on the coincidence set of the detection area data set and the known ore deposit area data set data recorded as |X|∩|Y| and the deviation set of the detection area data set and the known ore deposit area data set data recorded as |X|∪|Y|-|X|∩|Y|, the coincidence rate and deviation rate between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit are obtained; By formula: Obtain the coincidence rate K between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known mineral deposit; By formula: The deviation rate L between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known ore deposit is obtained.

7. The method for identifying a lead-zinc-molybdenum-tungsten deposit based on a thermal entropy theory ore control model according to claim 6 is characterized in that: The coincidence rate K between the representative entropy value and thermal entropy gradient of the detection area and the representative entropy value and thermal entropy gradient value of the known ore deposit is compared with the deviation rate L between the representative entropy value and thermal entropy gradient of the detection area and the representative entropy value and thermal entropy gradient value of the known ore deposit. The comparison process is as follows: If the coincidence rate K between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit is greater than or equal to the deviation rate L between the representative entropy value and the representative value of the thermal entropy gradient of the detection area and the representative entropy value and the thermal entropy gradient value of the known ore deposit, then the detection conclusion is determined to be accurate; If the overlap rate K between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known mineral deposit is less than or equal to the deviation rate L between the representative entropy value and thermal entropy gradient value of the detection area and the representative entropy value and thermal entropy gradient value of the known mineral deposit, the detection conclusion is judged to be inaccurate.

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