Paleontology data identification platform

Abstract

The invention discloses a paleontology data identification platform, and relates to the field of data analysis, and the main scheme is as follows: obtaining the feature vector RFa of known ancient animal fossils according to the morphological data, trace element data, component data, paleogeographic data, internal structure data, paleomagnetic data and crystal structure data of the known ancient animal fossils; the similarity index Ra is calculated according to the feature vector RF of the to-be-identified sample and the feature vector RFa of the known ancient animal fossil, and the sample identification result is determined according to the similarity index Ra and the minimum similarity threshold YA, so that misjudgment possibly caused by identification only depending on a single feature is avoided, and the problem that comprehensive and accurate information cannot be obtained only through external observation, and the identification accuracy is improved is solved. Therefore, the identification accuracy is influenced.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a paleontological data identification platform. Background Art

[0002] In paleontological identification, the field of paleozoological identification and classification is an important branch. The data identification platform can identify paleozoological animals from multiple angles, improve the accuracy of identification, and at the same time, can deeply understand the ecological and physiological characteristics of paleozoological animals, providing a more comprehensive perspective on paleozoological diversity research.

[0003] The traditional method of identifying the species corresponding to ancient animal data is: paleontologists use tools such as naked eyes, magnifying glasses, optical microscopes, electron microscopes, etc. to carefully observe the external morphology of fossils, including the overall shape, size, structure, texture and other characteristics of the fossils, and then compare the observed characteristics with the morphological characteristics of known ancient animal species, and determine the species to which the fossil belongs based on existing classification systems and literature.

[0004] The existing technology still has the following shortcomings: traditional identification methods are mainly based on macroscopic characteristics such as the morphology of fossils, and the understanding of the microscopic structure and chemical composition inside the fossils is relatively limited. However, many important characteristics of ancient animals may be hidden inside, and comprehensive and accurate information cannot be obtained through external observation alone, which affects the accuracy of identification. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the shortcomings of the prior art, the present invention provides a paleontological data identification platform, which obtains the characteristic vector RF of known paleontological fossils based on the morphological data, trace element data, composition data, paleogeographic data, internal structure data, paleomagnetic data and crystal structure data of known paleontological fossils. a , according to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a , according to the similarity index R a The sample identification result is determined by the minimum similarity threshold YA, which solves the problem that comprehensive and accurate information cannot be obtained only through external observation, thus affecting the accuracy of identification.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a paleontological data identification platform, comprising:

[0009] Data collection module, which collects morphological data, trace element data, composition data, paleogeographic data, internal structure data, paleomagnetic data and crystal structure data of known ancient animal fossils;

[0010] Database module, calculates the morphological index RA based on morphological data a ; Calculate the trace element deviation index QB based on trace element data a , according to the trace element deviation index QB a Calculate the trace element-morphology synergistic index RB a ; Calculate geographic indicators RC based on composition data and geographic data a ; Calculate the paleomagnetic-skeletal structure correlation index QC based on internal structure data and paleomagnetic data a , calculate the ecological habit index QD based on internal structure data and composition data a According to the paleomagnetism-skeletal structure correlation index QC a and ecological habit index QD a Calculate the internal structure index RD a ; Calculate crystal structure index RE based on crystal structure data a ; Based on the morphological indicators of known ancient animal fossils RA a , trace element-morphology synergistic index RB a , Geographical Indicators RC a , internal structure index RD a and crystal structure index RE a Composition feature vector RF a =(RA a , R.B. a , R.C. a , R.D. a , R.E. a ) is stored in the database;

[0011] The identification module is used to obtain the feature vector RF = (RA, RB, RC, RD, RE) of the sample to be identified according to the method of the data acquisition module and the database module; according to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a ; Preset the minimum similarity threshold YA; According to the similarity index R a And the minimum similarity threshold YA determines the sample identification result.

[0012] In the preferred embodiment of the above-mentioned paleontological data identification platform: calculating the morphological index RA a The method is:

[0013] Morphological data include body length AB a , forelimb humerus length ACa , hind limb humerus length AD a 、Body width AG a 、Oral length AH a 、Oral width AI a and articular surface circumference AJ a ;

[0014] Calculate the morphological index RA based on the morphological data a , the formula based on is:

[0015]

[0016] Among them, RA a is the morphological index of the ath ancient animal fossil, a is the serial number corresponding to different ancient animal fossils, and the value is a positive integer; AB a is the body length of the a-type ancient animal fossil; AC a AD is the length of the humerus of the forelimb of the a-type ancient animal fossil; a is the length of the humerus of the hind limb of the athropomorphic fossil; AG a is the body width of the a-type ancient animal fossil; AH a is the length of the mouth of the a-type ancient animal fossil; AI a is the width of the mouth of the a-type ancient animal fossil; AJ a is the circumference of the articular surface of the ath ancient animal fossil.

[0017] In the preferred embodiment of the above paleontological data identification platform: calculating the trace element deviation index QB a The method is:

[0018] Trace element data including trace element content BA ab And the average value of trace elements content BB b ;

[0019] Calculate the trace element deviation index QB based on trace element data a , the formula based on is:

[0020]

[0021] Among them, QB a is the trace element deviation index of the a-type ancient animal fossil; BA ab is the content of the bth trace element in the ath ancient animal fossil, b is the serial number corresponding to different trace elements, and its value is [1, d]; d is the total number of trace elements, and its value is a positive integer; BB b It is the average value of the content of the bth trace element in known paleontological fossils.

[0022] In the preferred embodiment of the above-mentioned paleontological data identification platform: calculating the trace element-morphological synergistic index RB a The method is:

[0023] The morphological data also include the maximum skull diameter AA a , trunk length AE a , tail length AF a , the average head-to-body ratio CA, the average length-to-width ratio CB and the average tail length-to-body length ratio CC;

[0024] According to the body length AB a , Maximum skull diameter AA a , trunk length AE a , tail length AF a 、Body width AG a , head-to-body ratio average CA, length-to-width ratio average CB, tail length-to-body ratio average CC and trace element deviation index QB a Calculation of trace element-morphology synergistic index RB a , the formula based on is:

[0025]

[0026] Among them, RB a AA is the trace element-morphological synergistic index of the a-type ancient animal fossil; a is the maximum diameter of the skull of the a-type ancient animal fossil; AE a is the trunk length of the a-th ancient animal fossil; AF a is the tail length of the ath ancient animal fossil.

[0027] In the preferred embodiment of the above paleontological data identification platform: calculating the geographical index RC a The method is:

[0028] Composition data including carbon-13 abundance DA a 、Carbon-12 abundance DB a , oxygen-18 abundance DC a and oxygen-16 abundance DD a ;

[0029] Paleogeographic data including stratigraphic age EA a and ancient temperature EB a ;

[0030] Calculate the geographical indicator RC based on the composition data and geographical data a , the formula based on is:

[0031]

[0032] Among them, RCa The geographical indicator of the a-type ancient animal fossil; DA a is the carbon-13 abundance of the a-type ancient animal fossil; DB a is the carbon-12 abundance of the a-type ancient animal fossil; DC a is the oxygen-18 abundance of the a-type ancient animal fossil; DD a is the oxygen-16 abundance of the a-type ancient animal fossil; EA a The stratigraphic age of the location where the a-type ancient animal fossil was found; EB a is the ancient temperature of the location where the a-th ancient animal fossil was discovered; ɑ1 is the weight coefficient of the stratigraphic age index, and its value is 0.3~0.7; ɑ2 is the weight coefficient of the temperature index, and its value is 0.3~0.7; and ɑ1+ɑ2=1.

[0033] In the preferred embodiment of the above-mentioned paleontological data identification platform: calculating the paleomagnetism-skeletal structure correlation index QC a The method is:

[0034] Internal structural data including bone marrow cavity volume FA a , total bone marrow volume FB a and trabecular bone density FC a ;

[0035] Paleomagnetic data include paleomagnetic inclination GA a and paleomagnetic intensity GB a ;

[0036] Calculation of paleomagnetism-skeletal structure correlation index QC based on internal structure data and paleomagnetic data a , the formula based on is:

[0037]

[0038] Among them, QC a FA is the paleomagnetic-skeletal structure correlation index of the a-type ancient animal fossil; a is the volume of the bone marrow cavity of the ath ancient animal fossil; FB a is the total volume of bone marrow of the a-type ancient animal fossil; FC a is the trabecular density of the a-type ancient animal fossil; GA a is the paleomagnetic inclination of the stratum where the a-th ancient animal fossil is located; is the paleomagnetic intensity of the stratum where the a-th ancient animal fossil is located.

[0039] In the preferred embodiment of the above-mentioned paleontological data identification platform: calculating the ecological habit index QD a The method is:

[0040] Internal structure data also includes body cavity volume FD a ;

[0041] Composition data also include carbon-13 isotope ratio DE a and nitrogen-15 isotope ratio DF a ;

[0042] According to the body cavity volume FD a , Carbon-13 isotope ratio DE a , Nitrogen-15 isotope ratio DF a and body length AB a Calculation of ecological habit index QD a , the formula based on is:

[0043]

[0044] Among them, QD a FD is the ecological habit indicator of the a-type ancient animal fossil; a is the body cavity volume of the a-type ancient animal fossil; DE a is the carbon-13 isotope ratio of the a-type ancient animal fossil; DF a is the nitrogen-15 isotope ratio of the ath ancient animal fossil.

[0045] In the preferred embodiment of the above-mentioned paleontological data identification platform: calculating the internal structure index RD a The method is:

[0046] According to the paleomagnetism-bone structure correlation index QC a and ecological habit index QD a Calculate the internal structure index RD a , the formula based on is:

[0047]

[0048] Among them, RD a It is an indicator of the internal structure of the ath type of ancient animal fossil.

[0049] In the preferred embodiment of the above-mentioned paleontological data identification platform: calculating the crystal structure index RE a The method is:

[0050] Crystal structure data including mineral content HA am , total mineral content HB a , Crystal morphology index HC a 、Crystal quantity HD an and the total number of crystals HE a ;

[0051] Calculation of crystal structure index RE based on crystal structure data a , the formula based on is:

[0052]

[0053] Among them, RE a HA is the crystal structure index of the a-type ancient animal fossil; am is the content of the mth mineral in the ath ancient animal fossil, m is the serial number corresponding to different minerals, and the value is a positive integer; HB a is the total mineral content of the a-type ancient animal fossil; HC a is the crystal morphology factor index of the a-type ancient animal fossil; HD an is the number of crystals in the nth observation area of ​​the ath ancient animal fossil, n is the serial number corresponding to different observation areas, and its value is a positive integer; HE a is the total number of crystals of the ath type of ancient animal fossils; β1 is the weight coefficient corresponding to the mineral composition ratio index, which ranges from 0.3 to 0.5; β2 is the crystal morphology factor index HC a The corresponding weight coefficient is 0.2-0.5; β3 is the weight coefficient corresponding to the crystal orientation concentration index, which is 0.2-0.5; and β1+β2+β3=1.

[0054] In the preferred embodiment of the above paleontological data identification platform: calculating the similarity index R a The method is:

[0055] According to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a , the formula based on is:

[0056]

[0057] Among them, R a is the similarity index between the sample to be identified and the ath ancient animal fossil, RA is the morphological index of the sample to be identified; RB is the trace element deviation index of the sample to be identified; RC is the geographical index of the sample to be identified; RD is the internal structure index of the sample to be identified; RE is the crystal structure index of the sample to be identified; RF a is the characteristic vector of the ath ancient animal fossil;

[0058] According to the similarity index R a The sample identification result is determined by the minimum similarity threshold YA, specifically: obtaining the maximum similarity value R in the similarity index Ra amax ; When R amax ≥YA, the maximum similarity R amax The corresponding species of known ancient animal fossils is used as the species of the sample to be identified; when R amaxWhen <YA, the sample to be identified is judged as an unknown species.

[0059] (III) Beneficial effects

[0060] The present invention provides a paleontological data identification platform, which has the following beneficial effects:

[0061] (1) By collecting morphological data, trace element data, composition data, paleogeographic data, internal structure data, paleomagnetic data and crystal structure data of known ancient animal fossils, comprehensive identification can be carried out from multiple dimensions, thereby improving the accuracy of identification.

[0062] (2) Calculate the morphological index RA based on morphological data a , can provide detailed and intuitive information on ancient animal characteristics, provide a reference for preliminary identification, and calculate the trace element-morphology synergistic index RB based on trace element data and morphological data a , we can explore the intrinsic relationship between trace elements and ancient animal morphology, and then infer the role of trace elements in the physiological metabolism of ancient animals and their impact on morphological development, so as to more accurately divide the taxonomic units of ancient animals, improve the ancient animal classification system, and calculate the geographical index RC based on composition data and geographical data a , can more accurately determine the distribution range of ancient animals on the earth, deeply understand the ecological and geographical laws of ancient animals, and calculate the internal structure index RD based on internal structure data, paleomagnetic data and composition data a , which can reflect the spatial distribution and structural characteristics of the internal organs or tissues of ancient animals, provide a more detailed basis for the inference of the relationship between ancient animals, and calculate the crystal structure index RE based on the crystal structure data a , we can understand the mineralization mechanism, nutrient transport mode and physiological state changes of ancient animals during their growth, and thus infer their growth rate and physiological health status. a , trace element-morphology synergistic index RB a , Geographical indicators RC a , internal structure index RD a and crystal structure index RE a Composition feature vector RF a =(RA a , R.B. a , R.C. a , R.D. a , R.E. a ) are stored in the database, providing a rich multi-dimensional perspective for paleontological research and improving the efficiency and convenience of data retrieval.

[0063] (3) Based on the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils aCalculate the similarity index R a , according to the similarity index R a The minimum similarity threshold YA is used to determine the sample identification result, avoiding the possible misjudgment when relying on a single feature for identification, and solving the problem that comprehensive and accurate information cannot be obtained through external observation alone, thus affecting the accuracy of identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a schematic diagram of the system composition of a paleontological data identification platform of the present invention. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] See also Figure 1 The present invention provides a paleontological data identification platform, comprising:

[0067] The data acquisition module collects morphological data, trace element data, composition data, paleogeographic data, internal structure data, paleomagnetic data and crystal structure data of known ancient animal fossils.

[0068] In the above scheme, by collecting morphological data, trace element data, composition data, paleogeographic data, internal structure data, paleomagnetic data and crystal structure data of known ancient animal fossils, comprehensive identification can be carried out from multiple dimensions, thereby improving the accuracy of identification.

[0069] Database module, calculates the morphological index RA based on morphological data a ; Calculate the trace element deviation index QB based on trace element data a , according to the trace element deviation index QB a Calculate the trace element-morphology synergistic index RB a ; Calculate geographic indicators RC based on composition data and geographic data a ; Calculate the paleomagnetic-skeletal structure correlation index QC based on internal structure data and paleomagnetic data a , calculate the ecological habit index QD based on internal structure data and composition data a According to the paleomagnetism-skeletal structure correlation index QC a and ecological habit index QD a Calculate the internal structure index RD a ; Calculate crystal structure index RE based on crystal structure dataa ; Based on the morphological indicators of known ancient animal fossils RA a , trace element-morphology synergistic index RB a , Geographical Indicators RC a , internal structure index RD a and crystal structure index RE a Composition feature vector RF a =(RA a , R.B. a , R.C. a , R.D. a , R.E. a ) is stored in the database.

[0070] Specifically, the calculation of the morphological indicator RA a The method is:

[0071] Morphological data include body length AB a , forelimb humerus length AC a , hind limb humerus length AD a 、Body width AG a 、Oral length AH a 、Oral width AI a and articular surface circumference AJ a .

[0072] It should be noted that the body length AB a It refers to the length of the animal's body from head to tail, and the length of the humerus of the forelimb AC a It refers to the length of the humerus in the forelimb. The humerus is a long bone connecting the shoulder and the elbow. Its length is important for judging the structure and function of the animal's forelimb, body proportions, and differences from other groups. The length of the humerus in the hind limb AD a It refers to the length of the humerus in the hind limbs, reflecting the animal's movement and body structure characteristics. a It refers to the horizontal distance at the widest part of the animal's body, reflecting the size and shape of the animal. It has certain reference value for studying the animal's lifestyle, ecological niche, and adaptability to the environment. a It refers to the length of the oral cavity from the front to the back, which is closely related to the animal's feeding method, food type, and digestive ability. a It refers to the widest distance between the left and right sides of the mouth, which is related to the animal's eating method and the size of the food. The circumference of the articular surface AJ a It refers to the length of the edge of the articular surface, which reflects the size and shape of the joint. The articular surface is the part where bones connect to each other. The body length AB a , forelimb humerus length AC a , hind limb humerus length AD a 、Body width AGa 、Oral length AH a 、Oral width AI a and articular surface circumference AJ a Obtained by measuring using measuring tools such as tape measures and calipers.

[0073] Calculate the morphological index RA based on the morphological data a , the formula based on is:

[0074]

[0075] Among them, RA a is the morphological index of the ath ancient animal fossil, a is the serial number corresponding to different ancient animal fossils, and the value is a positive integer; AB a is the body length of the a-type ancient animal fossil; AC a AD is the length of the humerus of the forelimb of the a-type ancient animal fossil; a is the length of the humerus of the hind limb of the athropomorphic fossil; AG a is the body width of the a-type ancient animal fossil; AH a is the length of the mouth of the a-type ancient animal fossil; AI a is the width of the mouth of the a-type ancient animal fossil; AJ a is the circumference of the articular surface of the ath ancient animal fossil.

[0076] It should be noted that the operating principle of this formula is: The robustness of ancient creatures is measured by considering the length of the main bones of the limbs and the relationship between body width and body length. The larger the value, the more robust the body. a ×AI a The oral area is calculated by multiplying the length and width of the oral cavity. The oral sizes of different feeding animals vary. The smaller the oral area, the more likely it is a carnivore. The larger the oral area, the more likely it is a herbivore. is the shape parameter of the articular surface. The shape parameters of the articular surface of ancient creatures with different movement modes are different. This formula takes the square root of the sum of the squares of the robustness, oral area and shape parameters of the articular surface, and comprehensively considers the influence of the three factors to obtain the morphological index RA a .

[0077] Specifically, the trace element deviation index QB is calculated a The method is:

[0078] Trace element data including trace element content BA ab And the average value of trace elements content BB b .

[0079] It should be noted that the trace element content BA abRefers to the content of different trace elements in fossils. Trace elements refer to chemical elements with relatively low content in fossils. Although these elements account for a small proportion in content, they play an important role in understanding the physiological processes, living environment, formation and preservation process of ancient animals. Common trace elements include strontium, barium, manganese, zinc, copper, etc. The unit is microgram / gram, which is measured by X-ray fluorescence spectrometer. The average content of trace elements is BB b It is the arithmetic mean of the content of each trace element calculated after analyzing a large number of ancient animal fossils. The method of obtaining it is: using an x-ray fluorescence spectrometer to measure the trace element content of different ancient biological fossils, calculating the sum of these trace element contents and dividing it by the number of samples, as the average trace element content BB b .

[0080] Calculate the trace element deviation index QB based on trace element data a , the formula based on is:

[0081]

[0082] Among them, QB a is the trace element deviation index of the a-type ancient animal fossil; BA ab is the content of the bth trace element in the ath ancient animal fossil, b is the serial number corresponding to different trace elements, and its value is [1, d]; d is the total number of trace elements, and its value is a positive integer; BB b It is the average value of the content of the bth trace element in known paleontological fossils.

[0083] It should be noted that this formula calculates the sum of the deviations of each trace element content in the fossil relative to the average trace element content to obtain the trace element deviation index QB a .

[0084] Specifically, the trace element-morphology synergistic index RB is calculated a The method is:

[0085] The morphological data also include the maximum skull diameter AA a , trunk length AE a , tail length AF a , the average head-to-body ratio CA, the average length-to-width ratio CB and the average tail length to body length ratio CC.

[0086] It should be noted that the maximum diameter of the skull is AA a It refers to the length measurement of the skull in its maximum extension direction. It is used to describe the size of the skull and can reflect the size of the ancient animal's brain, the degree of development of the sensory organs, and other related information. The trunk length AE aIt refers to the length of the ancient animal's body excluding the head and tail. It is of great significance for understanding the animal's body structure, movement mode, and body center of gravity distribution. a It refers to the length of the tail of an ancient animal from head to tail tip, which is of great significance for inferring the movement mode and behavior habits of animals. The maximum diameter of the skull is AA a , trunk length AE a and tail length AF a It is obtained by measuring with measuring tools such as tape measures and calipers. The average head-to-body ratio CA refers to the average value of the ratio of skull length to body length, which is used to compare the differences in body proportions between different ancient animal individuals or species. The method of obtaining it is: using measuring tools such as tape measures and calipers to measure the skull length and body length of different ancient animal fossils and calculate the head-to-body ratio, add up all the obtained head-to-body ratio data, and then divide by the number of fossils to obtain the average head-to-body ratio CA. The average length-to-width ratio CB refers to the average value of the ratio of the length to the width of the ancient animal body, which is used to describe the shape characteristics of the ancient animal body or body parts. It is of great significance for studying the evolution of animal body morphology, ecological adaptation, and classification and identification. The method of obtaining it is: using measuring tools such as tape measures and calipers to measure the body length and body width of different ancient animal fossils and calculate the length-to-width ratio, add up all the obtained length-to-width ratio data, and then divide by the number of fossils to obtain the average length-to-width ratio CB. The average value CC of the tail length to body length ratio refers to the average value of the ratio of tail length to total body length. This ratio can help us understand the relative importance of the tail in the body structure of ancient animals, as well as the degree of difference in tail length between different species. The method of obtaining it is: use measuring tools such as tape measures and calipers to measure the tail length and body length of different ancient animal fossils and calculate the ratio of tail length to body length, add up all the tail length to body length ratio data obtained, and then divide it by the number of fossils to obtain the average value CC of the tail length to body length ratio.

[0087] According to the body length AB a , Maximum skull diameter AA a , trunk length AE a , tail length AF a 、Body width AG a , head-to-body ratio average CA, length-to-width ratio average CB, tail length-to-body ratio average CC and trace element deviation index QB a Calculation of trace element-morphology synergistic index RB a , the formula based on is:

[0088]

[0089] Among them, RB a AA is the trace element-morphological synergistic index of the a-type ancient animal fossil; a is the maximum diameter of the skull of the a-type ancient animal fossil; AEa is the trunk length of the a-th ancient animal fossil; AF a is the tail length of the ath ancient animal fossil.

[0090] It should be noted that the operating principle of this formula is: A measure of the degree to which the skull-to-body ratio of an individual fossil deviates from the average. Used to assess the deviation of the individual fossil from the average morphology in terms of length-to-width ratio. It is used to measure the difference between the tail proportion of individual fossils and the average level. The morphological deviation index is obtained by taking the square root of the sum of the squares of these three data, and then multiplying it by the trace element deviation index QB a Add 1 to get the trace element-morphology synergy index RB a .

[0091] Specifically, the geographic indicator RC is calculated a The method is:

[0092] Composition data including carbon-13 abundance DA a 、Carbon-12 abundance DB a , oxygen-18 abundance DC a and oxygen-16 abundance DD a .

[0093] It should be noted that the carbon-13 abundance DA a Refers to the proportion of carbon-13 in all isotopes of carbon, and the abundance of carbon-12 DB a It refers to the proportion of carbon-12 in the carbon element, and the carbon-13 abundance DA a and carbon-12 abundance DB a It is of great significance to infer the food source and ecological environment of ancient organisms. The abundance of oxygen-18 DC a It refers to the relative content of oxygen-18 and the abundance of oxygen-16 among all isotopes of oxygen. a It refers to the proportion of oxygen-16 in oxygen element and the abundance of oxygen-18 DC a and oxygen-16 abundance DD a It is of great significance to the study of paleoclimate changes. The carbon-13 abundance DA a 、Carbon-12 abundance DB a , oxygen-18 abundance DC a and oxygen-16 abundance DD a Acquired using isotope ratio mass spectrometry measurements.

[0094] Paleogeographic data including stratigraphic age EA a and ancient temperature EB a .

[0095] It should be noted that the stratigraphic age EA a Refers to the time when the strata were formed. It reflects the geological events and biological evolution processes in different periods of the earth's history. It is divided into relative age and absolute age. Here is the absolute age. The absolute age refers to the specific age of the strata formed, usually in years. It is accurately measured by radioactive isotope dating and other methods. Radioactive isotope dating methods include potassium-argon dating, uranium-lead dating and carbon-14 dating. The principle is: the nuclei of certain radioactive elements, such as uranium, potassium, carbon, etc., will spontaneously decay and become the nuclei of another element, and the decay rate is constant. By measuring the content of the parent nucleus and daughter nucleus in the sample, according to the decay constant, the age of the sample can be calculated. Ancient temperature EB a It refers to the temperature conditions at the location where fossils were found in the history of the Earth. It is of great significance for understanding the evolution of the Earth's climate, the laws of climate change, and the impact of climate on biological evolution and geographical environment changes. It is determined by using sedimentological methods, geochemical methods, etc. Among them, sedimentological methods infer the ancient temperature by studying the characteristics of sediments in the strata. a The geochemical method uses the composition and ratio of chemical elements and isotopes in ancient animal fossils or sediments to infer the ancient temperature EB. a .

[0096] Calculate the geographical indicator RC based on the composition data and geographical data a , the formula based on is:

[0097]

[0098] Among them, RC a The geographical indicator of the a-type ancient animal fossil; DA a is the carbon-13 abundance of the a-type ancient animal fossil; DB a is the carbon-12 abundance of the a-type ancient animal fossil; DC a is the oxygen-18 abundance of the a-type ancient animal fossil; DD a is the oxygen-16 abundance of the a-type ancient animal fossil; EA a The stratigraphic age of the location where the a-type ancient animal fossil was found; EB a is the ancient temperature at the location where the a-type ancient animal fossils were found; ɑ1 is the weight coefficient of the stratigraphic age index, which ranges from 0.3 to 0.7. a ɑ2 is the weight coefficient of the temperature index, which ranges from 0.3 to 0.7. a The degree of influence is determined; and ɑ1+ɑ2=1.

[0099] It should be noted that the operating principle of this formula is: By calculating the ratio of carbon isotope ratio to stratigraphic age, we can obtain stratigraphic age index, which is used to compare the ecological evolution of similar ancient animals in different strata, or to determine whether the food source of ancient animals has changed significantly in a specific geological period. (EB a +10) is to avoid unreasonable calculation results when the ancient temperature is negative. By calculating the functional relationship between the oxygen isotope ratio and the ancient temperature, the temperature index is obtained. The temperature index is used to study the impact of the climate environment during the life period of ancient animals on their physiological characteristics, and then assist in identifying the type of ancient animals. Finally, the formula uses a weighted method to comprehensively consider the impact of the stratigraphic age index and the temperature index to obtain the geographical index RC a .

[0100] Specifically, the paleomagnetism-skeletal structure correlation index QC was calculated. a The method is:

[0101] Internal structural data including bone marrow cavity volume FA a , total bone marrow volume FB a and trabecular bone density FC a .

[0102] It should be noted that the volume of the bone marrow cavity FA a Refers to the size of the space occupied by the bone marrow cavity inside the bone. The bone marrow cavity refers to the hollow part in the center of the bone. The total volume of the bone marrow is FB. a It refers to the total volume of bone marrow tissue in the bones, including the bone marrow in the bone marrow cavity and the bone marrow in the trabecular spaces. The trabecular density FC a It refers to the content of trabecular bone per unit volume, which reflects the microstructural characteristics of the bone and the density of the bone. Trabecular bone is a small bone with a reticular structure in the bone. The volume of the bone marrow cavity is FA. a , total bone marrow volume FB a and trabecular bone density FC a Obtained by computed tomography.

[0103] Paleomagnetic data include paleomagnetic inclination GA a and paleomagnetic intensity GB a .

[0104] It should be noted that the paleomagnetic inclination GA a It refers to the angle between the magnetic induction intensity vector of the geomagnetic field and the horizontal plane recorded when the rock was formed during the geological history period, reflecting the directional characteristics of the earth's magnetic field at that time. The paleomagnetic intensity GB a It refers to the intensity of the geomagnetic field recorded when rocks were formed during the geological history period, reflecting the strength of the earth's magnetic field at that time. The paleomagnetic inclination GA a and paleomagnetic intensity GBa The measurement is obtained using high-precision magnetic instruments such as SQU ID magnetometer and rotating magnetometer.

[0105] Calculation of paleomagnetism-skeletal structure correlation index QC based on internal structure data and paleomagnetic data a , the formula based on is:

[0106]

[0107] Among them, QC a FA is the paleomagnetic-skeletal structure correlation index of the a-type ancient animal fossil; a is the volume of the bone marrow cavity of the ath ancient animal fossil; FB a is the total volume of bone marrow of the a-type ancient animal fossil; FC a is the trabecular density of the a-type ancient animal fossil; GA a is the paleomagnetic inclination of the stratum where the a-th ancient animal fossil is located; is the paleomagnetic intensity of the stratum where the a-th ancient animal fossil is located.

[0108] It should be noted that the operating principle of this formula is: It is used to calculate the relative proportion of the bone marrow cavity in the total bone marrow volume. This indicator reflects the relative development degree of the bone marrow cavity. By considering the combined effects of trabecular density and the relative development of the bone marrow cavity on the bone structure, the internal structure comprehensive factor is obtained. The higher the value of this item, the stronger the bone. a It is used to measure the direction of the magnetic field. The smaller the value, the closer the geomagnetic field is to the horizontal direction. The larger the value, the closer the geomagnetic field is to the vertical direction. This formula comprehensively considers the influence of bone marrow cavity volume, total bone marrow volume, trabecular density, paleomagnetic inclination and paleomagnetic intensity to obtain the paleomagnetism-bone structure correlation index QC a , paleomagnetism-bone structure correlation index QC a It can comprehensively reflect the degree of correlation between the paleomagnetic environment and the skeletal structure of ancient animals. The larger the value of this indicator, the more significant the synergistic relationship between paleomagnetic factors and skeletal structure characteristics in the period and environment represented by the ancient animal fossil.

[0109] Specifically, the ecological behavior index QD is calculated a The method is:

[0110] Internal structure data also includes body cavity volume FD a .

[0111] It should be noted that the body cavity volume FD aIt refers to the size of the space occupied by the body cavity in an animal's body. The body cavity is a cavity in the animal's body that is wrapped by the mesoderm. The structure and function of the body cavity vary in different animal groups. It is obtained using imaging measurement methods such as computed tomography and magnetic resonance imaging.

[0112] Composition data also include carbon-13 isotope ratio DE a and nitrogen-15 isotope ratio DF a .

[0113] It should be noted that the carbon-13 isotope ratio DE a It refers to the ratio of the relative abundance of carbon-13 isotopes to the relative abundance of carbon-12 isotopes in fossils, which is calculated by {((carbon-13 abundance in fossils / carbon-12 abundance in fossils) / (carbon-13 abundance and carbon-12 abundance in international standard materials))-1}×1000%. Nitrogen-15 isotope ratio DF a It refers to the ratio of the relative abundance of nitrogen-15 isotope to the relative abundance of nitrogen-14 isotope in fossils, which is calculated by ((nitrogen-15 abundance in fossils / nitrogen-14 abundance in fossils) / (nitrogen-15 abundance and nitrogen-14 abundance in international standard materials)-1)×1000%.

[0114] According to the body cavity volume FD a , Carbon-13 isotope ratio DE a , Nitrogen-15 isotope ratio DF a and body length AB a Calculation of ecological habit index QD a , the formula based on is:

[0115]

[0116] Among them, QD a FD is the ecological habit indicator of the a-type ancient animal fossil; a is the body cavity volume of the a-type ancient animal fossil; DE a is the carbon-13 isotope ratio of the a-type ancient animal fossil; DF a is the nitrogen-15 isotope ratio of the ath ancient animal fossil.

[0117] It should be noted that the operating principle of this formula is: the carbon-13 isotope ratio DE a Closely related to the food source of ancient animals, the nitrogen-15 isotope ratio DF a Related to the trophic level of ancient animals in the food chain, body length AB a Closely related to the energy consumption of ancient animals, the body cavity volume FD a Reflecting the internal organ accommodation space of animals, this formula takes into account the body cavity volume FDa , Carbon-13 isotope ratio DE a , Nitrogen-15 isotope ratio DF a and body length AB a Four data related to animal ecological habits, and the ecological habit index QD a .

[0118] Specifically, the internal structure index RD is calculated a The method is:

[0119] According to the paleomagnetism-bone structure correlation index QC a and ecological habit index QD a Calculate the internal structure index RD a , the formula based on is:

[0120]

[0121] Among them, RD a It is an indicator of the internal structure of the ath type of ancient animal fossil.

[0122] It should be noted that the formula adds the two indicators, then adds the square root of the product of the two indicators, and finally divides by 2, performing a weighted average and nonlinear combination of the two indicators to obtain the internal structure indicator RD a , By taking the square root of the product of the squares of the two indicators, the two indicators are balanced and integrated. When the values ​​of the two indicators differ greatly, this item will make the value more inclined to the larger value of the two, but will not completely ignore the smaller value, thereby making the impact of the two indicators on the final result more balanced.

[0123] Specifically, the crystal structure index RE is calculated a The method is:

[0124] Crystal structure data including mineral content HA am , total mineral content HB a , Crystal morphology index HC a 、Crystal quantity HD an and the total number of crystals HE a .

[0125] It should be noted that the mineral content HA am It refers to the mass or volume ratio of a specific mineral in a fossil, reflecting the relative enrichment of the mineral in the fossil. The total mineral content HB a It refers to the sum of all mineral contents in fossils, usually expressed as mass fraction or volume fraction. Mineral content HA am And the total mineral content HB aObtained by X-ray diffraction measurement. Crystal morphology index HC a It is a quantitative index used to describe the morphological characteristics of crystals. The number of crystals HD an It refers to the number of individuals of a certain crystal in a specific observation area, the total number of crystals HE a It refers to the total number of all crystal individuals in the fossil, which is an overall measure of the richness of the crystal. The crystal morphology factor index HC a 、Crystal quantity HD an and the total number of crystals HE a The method of obtaining the crystal number is as follows: the fossils are divided into different observation areas, and the crystals in different observation areas are imaged using optical microscopes, scanning electron microscopes, or transmission electron microscopes. The collected images are imported into image processing software such as ImageJ and Photoshop, and the number of crystals in each observation area is obtained through the measurement tools and analysis functions of the software as the crystal number HD. an , the number of crystals observed in each observation area is accumulated as the total number of crystals HE a At the same time, the software's measurement tools and analysis functions are used to measure the length, width, height, surface area, volume and other parameters of the crystal. Then, according to a specific mathematical model or formula, these parameters are combined to calculate the crystal morphology factor index HC. a For example, for columnar crystals, the crystal morphology factor index HC a is the ratio of length to diameter. For plate-like crystals, the crystal morphology factor index HC a It is the ratio of the product of length and width to the square of thickness.

[0126] Calculation of crystal structure index RE based on crystal structure data a , the formula based on is:

[0127]

[0128] Among them, RE a HA is the crystal structure index of the a-type ancient animal fossil; am is the content of the mth mineral in the ath ancient animal fossil, m is the serial number corresponding to different minerals, and the value is a positive integer; HB a is the total mineral content of the a-type ancient animal fossil; HC a is the crystal morphology factor index of the a-type ancient animal fossil; HD an is the number of crystals in the nth observation area of ​​the ath ancient animal fossil, n is the serial number corresponding to different observation areas, and its value is a positive integer; HE ais the total number of crystals of the a-th species of ancient animal fossils; β1 is the weight coefficient corresponding to the mineral composition ratio index, which ranges from 0.3 to 0.5. a The importance of determining; β2 is the crystal morphology factor index HC a The corresponding weight coefficient is 0.2 to 0.5, according to the crystal morphology factor index HC a Crystal structure index RE a β3 is the weight coefficient corresponding to the crystal orientation concentration index, which is 0.2 to 0.5. a The importance of is determined; and β1+β2+β3=1.

[0129] It should be noted that the operating principle of this formula is: It is the proportion of the maximum value of each mineral content in the total mineral content, reflecting the relative enrichment of the main mineral components in the ancient animal fossils. The larger the proportion, the higher the relative enrichment. a It is a quantitative index used to describe the morphological characteristics of crystals. It comprehensively considers factors such as the shape, size, and symmetry of the crystal, and reflects the importance of crystal morphology in the overall crystal structure. It is the ratio of the maximum number of crystals in each observation area to the total number of crystals, reflecting the degree of crystal aggregation in the fossil. This formula uses a weighted method to comprehensively consider the influence of mineral composition, crystal morphology and crystal quantity to obtain the crystal structure index RE a .

[0130] In the above scheme, the morphological indicator RA is calculated based on the morphological data a , can provide detailed and intuitive information on ancient animal characteristics, provide a reference for preliminary identification, and calculate the trace element-morphology synergistic index RB based on trace element data and morphological data a , we can explore the intrinsic relationship between trace elements and ancient animal morphology, and then infer the role of trace elements in the physiological metabolism of ancient animals and their impact on morphological development, so as to more accurately divide the taxonomic units of ancient animals, improve the ancient animal classification system, and calculate the geographical index RC based on composition data and geographical data a , can more accurately determine the distribution range of ancient animals on the earth, deeply understand the ecological and geographical laws of ancient animals, and calculate the internal structure index RD based on internal structure data, paleomagnetic data and composition data a , which can reflect the spatial distribution and structural characteristics of the internal organs or tissues of ancient animals, provide a more detailed basis for the inference of the relationship between ancient animals, and calculate the crystal structure index RE based on the crystal structure data a, we can understand the mineralization mechanism, nutrient transport mode and physiological state changes of ancient animals during their growth, and thus infer their growth rate and physiological health status. a , trace element-morphology synergistic index RB a , Geographical indicators RC a , internal structure index RD a and crystal structure index RE a Composition feature vector RF a =(RA a , R.B. a , R.C. a , R.D. a , R.E. a ) are stored in the database, providing a rich multi-dimensional perspective for paleozoological research and improving the efficiency and convenience of data retrieval.

[0131] The identification module is used to obtain the feature vector RF = (RA, RB, RC, RD, RE) of the sample to be identified according to the method of the data acquisition module and the database module; according to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a ; Preset the minimum similarity threshold YA; According to the similarity index R a And the minimum similarity threshold YA determines the sample identification result.

[0132] Specifically, the similarity index R is calculated a The method is:

[0133] According to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a , the formula based on is:

[0134]

[0135] Among them, R a is the similarity index between the sample to be identified and the ath ancient animal fossil, RA is the morphological index of the sample to be identified; RB is the trace element deviation index of the sample to be identified; RC is the geographical index of the sample to be identified; RD is the internal structure index of the sample to be identified; RE is the crystal structure index of the sample to be identified; RF a is the characteristic vector of the ath ancient animal fossil.

[0136] It should be noted that the operating principle of this formula is as follows: the numerator is the weighted sum of each characteristic index of the sample to be identified and the corresponding index of the ath ancient animal fossil. The weight is reflected in the numerical value of the index itself. Each product term reflects the similarity between the sample to be identified and the ath ancient animal fossil in a certain aspect. Their sum integrates all aspects of similarity information. The denominator is the normalized characteristic index of the sample to be identified and the ath ancient animal fossil. By calculating the square root of the sum of the squares of each characteristic index, the numerical range of the characteristic index is normalized, so that the characteristic indexes of different dimensions and numerical ranges are comparable when calculating the similarity. Finally, the numerator is divided by the denominator to obtain the similarity index R a , its value range is between 0 and 1. Similarity index R a The closer the value is to 1, the more similar the sample to be identified is to the a-th ancient animal fossil; the similarity index R a The closer the value is to 0, the greater the difference between the two.

[0137] According to the similarity index R a The sample identification result is determined by the minimum similarity threshold YA, specifically: obtaining the maximum similarity value R in the similarity index Ra amax ; When R amax ≥YA, the maximum similarity R amax The corresponding species of known ancient animal fossils is used as the species of the sample to be identified; when R amax When <YA, the sample to be identified is judged as an unknown species.

[0138] It should be noted that the maximum similarity R amax The method for obtaining is: traverse the similarity index R corresponding to the sample to be identified a , the similarity index R a The maximum value among them is taken as the maximum similarity R amax .

[0139] It should be noted that the method for determining the minimum similarity threshold YA is: statistically analyze historical identification data, obtain the maximum similarity index of different samples to be identified, screen out the higher 40%, calculate their average value, and use it as the reference value of the minimum similarity threshold YA.

[0140] In the above scheme, according to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a , according to the similarity index R a The minimum similarity threshold YA is used to determine the sample identification result, avoiding the possible misjudgment when relying on a single feature for identification, and solving the problem that comprehensive and accurate information cannot be obtained through external observation alone, thus affecting the accuracy of identification.

[0141] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0142] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A paleontological data identification platform, characterized by: include: Data collection module, which collects morphological data, trace element data, composition data, paleogeographic data, internal structure data, paleomagnetic data and crystal structure data of known ancient animal fossils; Database module, calculates the morphological index RA based on morphological data a ; Calculate the trace element deviation index QB based on trace element data a , according to the trace element deviation index QB a Calculate the trace element-morphology synergistic index RB a ; Calculate geographic indicators RC based on composition data and geographic data a ; Calculate the paleomagnetic-skeletal structure correlation index QC based on internal structure data and paleomagnetic data a , calculate the ecological habit index QD based on internal structure data and composition data a According to the paleomagnetism-skeletal structure correlation index QC a and ecological habit index QD a Calculate the internal structure index RD a ; Calculate crystal structure index RE based on crystal structure data a ; Based on the morphological indicators of known ancient animal fossils RA a , trace element-morphology synergistic index RB a , Geographical indicators RC a , internal structure index RD a and crystal structure index RE a Composition feature vector RF a =(RA a , R.B. a , R.C. a , R.D. a , R.E. a ) is stored in the database; The identification module is used to obtain the feature vector RF = (RA, RB, RC, RD, RE) of the sample to be identified according to the method of the data acquisition module and the database module; according to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a ; Preset the minimum similarity threshold YA; According to the similarity index R a And the minimum similarity threshold YA determines the sample identification result.

2. A paleontological data identification platform according to claim 1, characterized in that: Calculation of the RA pattern indicator a The method is: Morphological data include body length AB a , forelimb humerus length AC a , hind limb humerus length AD a 、Body width AG a 、Oral length AH a 、Oral width AI a and articular surface circumference AJ a ; Calculate the morphological index RA based on the morphological data a , the formula based on is: Among them, RA a is the morphological index of the ath ancient animal fossil, a is the serial number corresponding to different ancient animal fossils, and the value is a positive integer; AB a is the body length of the a-type ancient animal fossil; AC a AD is the length of the humerus of the forelimb of the a-type ancient animal fossil; a is the length of the humerus of the hind limb of the athropomorphic fossil; AG a is the body width of the a-type ancient animal fossil; AH a is the length of the mouth of the a-type ancient animal fossil; AI a is the width of the mouth of the a-type ancient animal fossil; AJ a is the circumference of the articular surface of the ath ancient animal fossil.

3. A paleontological data identification platform according to claim 2, characterized in that: Calculate the trace element deviation index QB a The method is: Trace element data including trace element content BA ab And the average value of trace element content BB b ; Calculate the trace element deviation index QB based on trace element data a , the formula based on is: Among them, QB a is the trace element deviation index of the a-type ancient animal fossil; BA ab is the content of the bth trace element in the ath ancient animal fossil, b is the serial number corresponding to different trace elements, and its value is [1, d]; d is the total number of trace elements, and its value is a positive integer; BB b It is the average value of the content of the bth trace element in known paleontological fossils.

4. A paleontological data identification platform according to claim 3, characterized in that: Calculation of trace element-morphology synergistic index RB a The method is: The morphological data also include the maximum skull diameter AA a , trunk length AE a , tail length AF a , the average head-to-body ratio CA, the average length-to-width ratio CB and the average tail length-to-body length ratio CC; According to the body length AB a , Maximum skull diameter AA a , trunk length AE a , tail length AF a 、Body width AG a , head-to-body ratio average CA, length-to-width ratio average CB, tail length-to-body ratio average CC and trace element deviation index QB a Calculation of trace element-morphology synergistic index RB a , the formula based on is: Among them, RB a AA is the trace element-morphological synergistic index of the a-type ancient animal fossil; a is the maximum diameter of the skull of the ath ancient animal fossil; AE a is the trunk length of the a-th ancient animal fossil; AF a is the tail length of the ath ancient animal fossil.

5. A paleontological data identification platform according to claim 4, characterized in that: Calculate geographic indicator RC a The method is: Composition data including carbon-13 abundance DA a 、Carbon-12 abundance DB a , oxygen-18 abundance DC a and oxygen-16 abundance DD a ; Paleogeographic data including stratigraphic age EA a and ancient temperature EB a ; Calculate the geographical indicator RC based on the composition data and geographical data a , the formula based on is: Among them, RC a The geographical indicator of the a-type ancient animal fossil; DA a is the carbon-13 abundance of the a-type ancient animal fossil; DB a is the carbon-12 abundance of the a-type ancient animal fossil; DC a is the oxygen-18 abundance of the a-type ancient animal fossil; DD a is the oxygen-16 abundance of the a-type ancient animal fossil; EA a The stratigraphic age of the location where the a-type ancient animal fossil was found; EB a is the ancient temperature of the location where the a-th ancient animal fossil was discovered; ɑ1 is the weight coefficient of the stratigraphic age index, and its value is 0.3~0.7; ɑ2 is the weight coefficient of the temperature index, and its value is 0.3~0.7; and ɑ1+ɑ2=1.

6. A paleontological data identification platform according to claim 5, characterized in that: Calculation of paleomagnetism-skeletal structure correlation index QC a The method is: Internal structural data including bone marrow cavity volume FA a , total bone marrow volume FB a and trabecular bone density FC a ; Paleomagnetic data include paleomagnetic inclination GA a and paleomagnetic intensity GB a ; Calculation of paleomagnetism-skeletal structure correlation index QC based on internal structure data and paleomagnetic data a , the formula based on is: Among them, QC a FA is the paleomagnetic-skeletal structure correlation index of the a-type ancient animal fossil; a is the volume of the bone marrow cavity of the ath ancient animal fossil; FB a is the total volume of bone marrow of the a-type ancient animal fossil; FC a is the trabecular density of the a-type ancient animal fossil; GA a is the paleomagnetic inclination of the stratum where the a-th ancient animal fossil is located; is the paleomagnetic intensity of the stratum where the a-th ancient animal fossil is located.

7. A paleontological data identification platform according to claim 6, characterized in that: Calculation of ecological habit index QD a The method is: Internal structure data also includes body cavity volume FD a ; Composition data also include carbon-13 isotope ratio DE a and nitrogen-15 isotope ratio DF a ; According to the body cavity volume FD a , Carbon-13 isotope ratio DE a , Nitrogen-15 isotope ratio DF a and body length AB a Calculation of ecological habit index QD a , the formula based on is: Among them, QD a FD is the ecological habit indicator of the a-type ancient animal fossil; a is the body cavity volume of the a-type ancient animal fossil; DE a is the carbon-13 isotope ratio of the a-type ancient animal fossil; DF a is the nitrogen-15 isotope ratio of the ath ancient animal fossil.

8. A paleontological data identification platform according to claim 7, characterized in that: Calculate the internal structure index RD a The method is: According to the paleomagnetism-bone structure correlation index QC a and ecological habit index QD a Calculate the internal structure index RD a , the formula based on is: Among them, RD a It is an indicator of the internal structure of the ath type of ancient animal fossil.

9. A paleontological data identification platform according to claim 8, characterized in that: Calculation of crystal structure index RE a The method is: Crystal structure data including mineral content HA am , total mineral content HB a , Crystal morphology index HC a 、Crystal quantity HD an and the total number of crystals HE a ; Calculation of crystal structure index RE based on crystal structure data a , the formula based on is: Among them, RE a It is the crystal structure index of the a-type ancient animal fossil; HA am is the content of the mth mineral in the ath ancient animal fossil, m is the serial number corresponding to different minerals, and the value is a positive integer; HB a is the total mineral content in the a-type ancient animal fossil; HC a is the crystal morphology factor index of the a-type ancient animal fossil; HD an is the number of crystals in the nth observation area of ​​the ath ancient animal fossil, n is the serial number corresponding to different observation areas, and its value is a positive integer; HE a is the total number of crystals of the ath type of ancient animal fossils; β1 is the weight coefficient corresponding to the mineral composition ratio index, which ranges from 0.3 to 0.5; β2 is the crystal morphology factor index HC a The corresponding weight coefficient is 0.2-0.5; β3 is the weight coefficient corresponding to the crystal orientation concentration index, which is 0.2-0.5; and β1+β2+β3=1.

10. A paleontological data identification platform according to claim 9, characterized in that: Calculate the similarity index R a The method is: According to the feature vector RF of the sample to be identified and the feature vector RF of the known ancient animal fossils a Calculate the similarity index R a , the formula based on is: Among them, R a is the similarity index between the sample to be identified and the ath ancient animal fossil, RA is the morphological index of the sample to be identified; RB is the trace element deviation index of the sample to be identified; RC is the geographical index of the sample to be identified; RD is the internal structure index of the sample to be identified; RE is the crystal structure index of the sample to be identified; RF a is the characteristic vector of the ath ancient animal fossil; According to the similarity index R a and the minimum similarity threshold YA to determine the sample identification result, specifically: obtain the maximum similarity value R in the similarity index Ra amax ; When R amax ≥YA, the maximum similarity R amax The corresponding species of known ancient animal fossils is used as the species of the sample to be identified; when R amax When <YA, the sample to be identified is judged as an unknown species.

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