CN116188139A - Living mortgage supervision method, device, system and medium - Google Patents

Living mortgage supervision method, device, system and medium Download PDF

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CN116188139A
CN116188139A CN202211730630.5A CN202211730630A CN116188139A CN 116188139 A CN116188139 A CN 116188139A CN 202211730630 A CN202211730630 A CN 202211730630A CN 116188139 A CN116188139 A CN 116188139A
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mortgage
living
early warning
warning state
value
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梁超
张律
王闯闯
蒋维
邓楠
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China United Network Communications Group Co Ltd
Unicom Digital Technology Co Ltd
China Unicom Internet of Things Corp Ltd
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China United Network Communications Group Co Ltd
Unicom Digital Technology Co Ltd
China Unicom Internet of Things Corp Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
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Abstract

The application relates to the field of financial supervision, in particular to a living mortgage supervision method, device, system and medium. The method comprises the following steps: acquiring state information of a living mortgage; the status information includes: activity level information, and body temperature information; comparing the state information with a preset state range to obtain an early warning state of the living mortgage; wherein the state range includes: the activity range and the body temperature range, and the early warning state is used for representing price fluctuation of living mortgage; and obtaining the mortgage value of the living mortgage based on the early warning state and the preset price of the living mortgage. The method and the device obtain the early warning state of the living mortgage through the state information of the living mortgage, and obtain the mortgage value of the living mortgage based on the early warning state; the living mortgage can be supervised from the financial angle, and the supervision requirement of a financial institution on the living mortgage can be accurately met.

Description

Living mortgage supervision method, device, system and medium
Technical Field
The application relates to the field of financial supervision, in particular to a living mortgage supervision method, device, system and medium.
Background
With the rapid development of the breeding industry, large-scale breeding becomes a trend, and based on fund consideration, mortgage loans of living livestock and poultry become an important way for farmers to rapidly acquire funds to expand the breeding scale. At present, many farmers can mortgage living livestock and poultry as a property mortgage to financial institutions such as banks, so as to acquire loans, and expand the cultivation scale. These living mortgages present a difficult problem to manage for financial institutions such as banks.
In the prior art, the supervision of living livestock (namely living mortgage) is mostly pasture-oriented to the major and the like, and provides accurate supervision of the dimensions of feed intake, oestrus, health and the like for the living livestock; these functions are too redundant for the financial institution while it is difficult to accurately meet the financial institution's regulatory requirements for living mortgages.
Disclosure of Invention
The application provides a living mortgage supervision method, device, system and medium, which can solve the problem that the supervision requirement of a financial institution on living mortgages is difficult to accurately meet in the prior art.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, the present application provides a method of living mortgage supervision, the method comprising:
Acquiring state information of a living mortgage; the status information includes: activity level information, and body temperature information;
comparing the state information with a preset state range to obtain an early warning state of the living mortgage; wherein the state range includes: the activity range and the body temperature range, and the early warning state is used for representing price fluctuation of living mortgage;
and obtaining the mortgage value of the living mortgage based on the early warning state and the preset price of the living mortgage.
As a possible implementation manner of the first aspect of the present application, the early warning state includes: the first early warning state, the second early warning state and the third early warning state; comparing the state information with a preset state range to obtain an early warning state of the living mortgage, wherein the early warning state comprises the following steps:
comparing the body temperature information with the body temperature range, and comparing the activity amount information with the activity amount range;
responding to the fact that the body temperature information is lower than the body temperature range and the activity amount information is lower than the activity amount range, and obtaining the early warning state of the living mortgage as a first early warning state;
responding to the fact that the body temperature information is higher than the body temperature range and exceeds a first threshold value, and the activity information is not lower than the activity range, and obtaining an early warning state of the living mortgage as a second early warning state;
Responding to the fact that the body temperature information is higher than the body temperature range and does not exceed a first threshold value, and obtaining that the early warning state of the living mortgage is a third early warning state;
as a possible implementation manner of the first aspect of the present application, obtaining a mortgage value of a living mortgage based on an early warning state and a preset price of the living mortgage includes:
obtaining a mortgage value of the living mortgage based on the first early warning state and a preset price of the living mortgage as a first mortgage value;
obtaining the mortgage value of the living mortgage based on the second early warning state and the preset price of the living mortgage as a second mortgage value;
obtaining the mortgage value of the living mortgage based on the third early warning state and the preset price of the living mortgage as a third mortgage value;
wherein the first mortgage value is lower than the second mortgage value, which is lower than the third mortgage value.
As a possible implementation manner of the first aspect of the present application, the method further includes: acquiring transaction data, and adjusting a preset price of the living mortgage based on the transaction data;
wherein the transaction data comprises: one or more of livestock trade data, meat trade data, dairy trade data;
Obtaining the asset value of the living mortgage based on the pre-warning status and the preset price of the living mortgage, comprising:
and obtaining the asset value of the living mortgage based on the early warning state and the preset price of the adjusted living mortgage.
In a second aspect, the present application provides a living mortgage supervision apparatus, the apparatus comprising:
the communication unit is used for acquiring the state information of the living mortgage; the status information includes: activity level information, and body temperature information;
the processing unit is used for comparing the state information with a preset state range to obtain an early warning state of the living mortgage; wherein the state range includes: the activity range and the body temperature range, and the early warning state is used for representing price fluctuation of living mortgage;
and obtaining the mortgage value of the living mortgage based on the early warning state and the preset price of the living mortgage.
As a possible implementation manner of the second method of the present application, the early warning state includes: the first early warning state, the second early warning state and the third early warning state; comparing the state information with a preset state range to obtain an early warning state of the living mortgage, wherein the early warning state comprises the following steps:
comparing the body temperature information with the body temperature range, and comparing the activity amount information with the activity amount range;
Responding to the fact that the body temperature information is lower than the body temperature range and the activity amount information is lower than the activity amount range, and obtaining the early warning state of the living mortgage as a first early warning state;
responding to the fact that the body temperature information is higher than the body temperature range and exceeds a first threshold value, and the activity information is not lower than the activity range, and obtaining an early warning state of the living mortgage as a second early warning state;
responding to the fact that the body temperature information is higher than the body temperature range and does not exceed a first threshold value, and obtaining that the early warning state of the living mortgage is a third early warning state;
as a possible implementation manner of the second aspect of the present application, obtaining a mortgage value of a living mortgage based on an early warning state and a preset price of the living mortgage includes:
obtaining a mortgage value of the living mortgage based on the first early warning state and a preset price of the living mortgage as a first mortgage value;
obtaining the mortgage value of the living mortgage based on the second early warning state and the preset price of the living mortgage as a second mortgage value;
obtaining the mortgage value of the living mortgage based on the third early warning state and the preset price of the living mortgage as a third mortgage value;
wherein the first mortgage value is lower than the second mortgage value, which is lower than the third mortgage value.
As a possible implementation manner of the second aspect of the present application, the processing unit is further configured to obtain transaction data, and adjust a preset price of the living mortgage based on the transaction data;
wherein the transaction data comprises: one or more of livestock trade data, meat trade data, dairy trade data;
obtaining the asset value of the living mortgage based on the pre-warning status and the preset price of the living mortgage, comprising:
and obtaining the asset value of the living mortgage based on the early warning state and the preset price of the adjusted living mortgage.
In a third aspect, the present application provides a living mortgage supervision apparatus, the apparatus comprising: a processor and a communication interface; the communication interface is coupled to a processor for running a computer program or instructions to implement the living mortgage supervision method as described in any one of the possible implementations of the first aspect and the first aspect.
In a fourth aspect, the present application provides a living mortgage supervision system, the system comprising: the living mortgage monitoring device described in the third aspect of the present application communicates with the living mortgage monitoring device described in the third aspect of the present application based on a communication protocol of 2.4G or 433M, and a collecting device for collecting status information of the living mortgage.
In a fifth aspect, the present application provides a computer-readable storage medium having instructions stored therein that, when run on a terminal, cause the terminal to perform a living mortgage supervision method as described in any one of the possible implementations of the first aspect and the first aspect.
In a sixth aspect, embodiments of the present application provide a computer program product comprising instructions that, when run on a living mortgage monitoring device, cause the living mortgage monitoring device to perform a living mortgage monitoring method as described in any one of the possible implementations of the first aspect and the first aspect.
In a seventh aspect, embodiments of the present application provide a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a computer program or instructions to implement a living mortgage supervision method as described in any one of the possible implementations of the first aspect and the first aspect.
Specifically, the chip provided in the embodiments of the present application further includes a memory, configured to store a computer program or instructions.
The technical scheme provided by the application at least brings the following beneficial effects: the method and the device obtain the early warning state of the living mortgage through the state information of the living mortgage, and obtain the mortgage value of the living mortgage based on the early warning state; the living mortgage can be supervised from the financial angle, and the supervision requirement of a financial institution on the living mortgage can be accurately met.
Drawings
Fig. 1 is a schematic diagram of a living mortgage supervision system according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a living mortgage supervision method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an acquisition device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a living mortgage supervision apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of another living mortgage supervision apparatus according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of another living mortgage monitoring system according to an embodiment of the present application;
fig. 7 is a functional schematic diagram of a living mortgage supervision system according to an exemplary embodiment of the present disclosure;
FIG. 8 is a schematic diagram of an asset value assessment process according to an embodiment of the present application;
fig. 9 is a schematic diagram of a chip structure according to an embodiment of the present application.
Detailed Description
The living mortgage monitoring method and device provided by the embodiment of the application are described in detail below with reference to the accompanying drawings.
The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone.
The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects or for distinguishing between different processes of the same object and not for describing a particular sequential order of objects.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the following, some related terms and techniques are explained as referred to in the embodiments of the present application.
1) Livestock and poultry
The livestock and poultry mainly refer to various animals which are domesticated for a long time by labor in order to meet the requirements of meat, eggs, milk, fur and the like, are greatly different from wild animals, and mainly have the following four points: the method is widely applied to long-term artificial feeding and production; the phenotype and the wild animals are changed essentially, and stable artificial selection economic characters are provided; stable epidemic prevention and control systems have been formed; conforming to international convention.
The socioeconomic conditions are the primary factors influencing the formation and development of livestock and poultry varieties, and have more dominant effects than the natural ecological conditions. The breed is a product selected manually, refers to a group of animal groups with certain economic value and consistent hereditary property of main characters, can adapt to certain natural environment and feeding conditions, meets the requirements of human beings in terms of yield and quality, and is a production data in livestock and poultry production. A method for classifying livestock and poultry varieties; there are many kinds of the materials depending on their structures, purposes and means of investigation. The classification methods which are more commonly used and practical in the production of livestock and poultry mainly comprise three types, namely classification according to the body type and appearance characteristics, the cultivation degree and the main economic application of the variety. The livestock and poultry variety resource is the basis of the production development of livestock and poultry industry, is the basic material of the genetic breeding work of livestock and poultry, and is the production and living data of human beings worldwide.
Livestock and poultry, including traditional livestock and poultry, mainly refer to wild animals which can normally reproduce offspring and have certain economic value for human beings through artificial domestication and breeding. Domestic animals: livestock are both life data and production data. Pigs, sheep, rabbits, etc. are generally referred to as small livestock, horses, donkeys, cattle, buffalo, camels, etc. are referred to as large livestock.
2) Communication protocol of 2.4G or 433M
2.4G is a wireless technology, and the frequency band is between 2.400GHz and 2.4835GHz, so the 2.4G wireless technology is short for short. Is one of three major wireless technologies (including Bluetooth, 27M, 2.4G) on the market. And is more commonly used in wireless keyboard and mouse applications. 2.4G technology, a so-called "2.4G non-networking solution": the frequency of 2.4ghz wireless technology is 2.4-2.485ghz (industrial, scientific and medical index, ism), which is an emerging wireless transmission technology in recent years, and the frequency band is used in most areas without authorization and free, so that the frequency band is widely applied in the wireless field, and the greatest obstacle is cleared for the popularization of products. The 2.4G wireless technology is bidirectional transmission, the unidirectional transmission rate can reach 2Mbps, and the influence of interference is greatly reduced due to the adoption of the self-frequency modulation technology. When the 2.4G device does not work, the 2.4G transmitting device is in a dormant state, so that the power consumption is greatly reduced.
With the rapid development of the breeding industry, large-scale breeding becomes a trend, and based on fund consideration, mortgage loans of living livestock and poultry become an important way for farmers to rapidly acquire funds to expand the breeding scale. At present, many farmers can mortgage living livestock and poultry as assets to banks to acquire loans. For banks, mortgage biological assets have the conditions of package falling, illegal sales, illness and the like, the assets are difficult to determine rights, supervision after lending is difficult, risks are high, and value evaluation is difficult. For these reasons, banks often monitor live livestock and poultry by purchasing internet of things (IOT) monitoring software and hardware. However, most of the existing software and hardware designs aim at livestock breeders, and provide accurate supervision of food intake, oestrus, health and other dimensions for living livestock; these functions are too redundant for the financial institution while it is difficult to accurately meet the financial institution's regulatory requirements for living mortgages.
In order to solve the problem that the prior art is difficult to accurately meet the supervision requirement of a financial institution on living mortgages, the application provides a living mortgage supervision method, which can be applied to a system shown in fig. 1.
Referring to fig. 1, fig. 1 is a schematic diagram of a living mortgage supervision system according to an embodiment of the present application, the system may include: tag 1001 (only three are shown in the figure), gateway 1002, server 1003; the tag 1001 is used for collecting state information of a living mortgage, and the tag 1001 can be worn on the living mortgage and can exist in the forms of earrings, collars, nose rings, earmarks and the like in actual use; the gateway 1002 is configured to forward the status information of the living mortgage collected by the tag 1001 to the server 1003, and the server 1003 is configured to supervise one or more living mortgages based on the status information of the living mortgage collected by the tag 1001.
The above-described division of the tag 1001, gateway 1002, and server 1003 is performed according to the functions thereof; for example, each functional module may be divided into respective functions, or two or more functions may be integrated into one device, and the integrated modules may be implemented in hardware or in software.
The invention designs a complete solution to the problems of difficult right determination, difficult supervision after lending, high supervision cost and difficult asset evaluation of the current living assets. The live stock data can be collected and monitored, the collected live stock data is analyzed through a server platform by combining with an own asset evaluation model, the health of the live stock and the outgoing of the live stock are analyzed, the risk of the pressed asset is monitored and predicted, and the risk is notified to a financial institution and a breeding user through a mobile terminal application and a WEB system.
Referring to fig. 2, fig. 2 is a schematic flow chart of a living mortgage supervision method according to an embodiment of the present disclosure. The method may be applied to a server 1003 in the system shown in fig. 1, the method comprising the steps of:
s100, acquiring state information of a living mortgage;
S200, comparing the state information with a preset state range to obtain an early warning state of the living mortgage;
s300, obtaining the mortgage value of the living mortgage based on the early warning state and the preset price of the living mortgage.
It can be understood that in the embodiment of the application, the early warning state of the living mortgage is obtained through the state information of the living mortgage, and the mortgage value of the living mortgage is obtained based on the early warning state; the living mortgage can be supervised from the financial angle, and the supervision requirement of a financial institution on the living mortgage can be accurately met.
For step S100:
the state information of the living mortgage may include: activity information of living mortgages and body temperature information of the living mortgages; living mortgages can be referred to the description of livestock and poultry in the preamble of this embodiment, and for the regulatory authorities, the livestock and poultry for which mortgage is needed to be financing are living mortgages.
In one possible implementation, the embodiments of the present application may obtain the living mortgage status information acquired by the acquisition device shown in fig. 3. Referring to fig. 3, fig. 3 is a schematic structural diagram of an acquisition device according to an embodiment of the present application, where the acquisition device 2000 includes: vibration sensor 2001, bluetooth chip 2002, battery 2003, temperature sensor 2004, radio frequency module 2005; among them, the vibration sensor 2001 may be: an electric vibration sensor, a piezoelectric vibration sensor, an eddy current vibration sensor, an inductive vibration sensor, a capacitive vibration sensor, a resistive vibration sensor, a photoelectric vibration sensor, and the like. The battery 2003 may be: zinc series batteries, such as zinc manganese batteries, and the like; nickel series batteries, such as cadmium nickel batteries, etc.: lead series batteries, such as lead acid batteries, etc.; manganese dioxide series batteries, such as zinc-manganese batteries, and the like; air series batteries, such as zinc air batteries, and the like; lithium series batteries, such as lithium iron phosphate batteries, and the like. The temperature sensor 2004 may be: thermocouples, thermistors, resistance temperature detectors, and IC temperature sensors, among others. The radio frequency module is mainly used for transmitting mortgage state information acquired by the acquisition device.
It will be appreciated that in embodiments of the present application, the temperature sensor 2004 may be placed at some specific location on the body surface of a living mortgage, such as the armpit, pinna, neck, etc., to collect body temperature information of the living mortgage; the vibration sensor 2001 can acquire vibration data of the living mortgage, and process the vibration data to obtain activity information of the living mortgage. For example, the exercise amount data of the living mortgage can be obtained by acquiring the vibration duration of the vibration data and evaluating the vibration duration over an acquisition period (e.g., 24 hours); for example, the vibration sensor may also be provided with a vibration threshold; responsive to the vibration sensor acquiring a vibration above the vibration threshold, the vibration sensor records the vibration and a duration of the vibration.
Illustratively, the acquisition device 2000 provided in the embodiments of the present application, the living mortgage monitoring system shown in fig. 1, may exist as a tag 1001. Specifically, when the rf module 2005 in the acquisition device 2000 uses a 2.4G communication protocol, it may also exist as a tag of a 2.4G proprietary protocol. Specifically, the tag based on the 2.4G private protocol is an active tag designed according to the requirements of financial institutions, actively broadcasts and reports data after the data are collected, then sleeps, waits for the next awakening, continues to collect the data, has the broadcasting characteristics of only sending and not receiving messages, and can obviously reduce the power consumption; the invention also carries out full selection and hardware module adaptation on the Bluetooth chip in the tag, and simplifies a communication instruction set between the Bluetooth chip and the gateway, so that the standby current and the transmitting power consumption of the tag are obviously reduced; therefore, the tag has the advantage of extremely low power consumption, and the endurance time can reach more than 3 years under the condition that the tag reporting frequency is 30 seconds for one time, thereby meeting the requirements of bank lending time. Meanwhile, the cost is obviously reduced compared with similar products, and the temperature sensor, the vibration sensor, the Bluetooth chip, the low-temperature version battery, the radio frequency module and the like are arranged in the living mortgage, so that the temperature and the movement quantity of the living mortgage can be obtained. The tag also has IP67 protection level, is waterproof and dustproof, and can meet various complex scenes such as outdoor free-range cultivation, extremely cold weather and the like. The tag code number has uniqueness, one animal is one code, so that the uniqueness of the asset can be ensured, and the asset right determination can be realized; the tag is not detachable, and repeated mortgage and deception actions can be prevented.
It will be appreciated that gateway 1002 in fig. 1 is capable of 4G capability and 2.4G proprietary protocol communications, and may collect tag data within 75 meters and report via 4G cellular signals. The gateway is generally externally connected with a power supply to supply power, and a rechargeable battery is arranged in the gateway, so that the gateway can supply power through the built-in battery under the condition of no constant power supply or temporary power failure, and can keep normal work; the gateway can be externally connected with a solar panel, and can normally work in a region where livestock are raised in bulk; the gateway has the functions of data storage and breakpoint supplement transmission, under the condition that a cellular signal is not available in a pasture, a bank credit officer or a supervisor can hold the gateway to go to the pasture for line inspection, the tag data of mortgage livestock are collected through the gateway and stored in the gateway local, and when the signal is returned to a place with the signal, the gateway automatically supplements and transmits the local data to the server. Therefore, the gateway in the embodiment of the application can solve the problems of scattered maintenance supervision under the condition of no power on and offline inspection under the condition of no cellular signals, and can accurately meet the living mortgage supervision requirement of a financial institution on areas with partial remote positions and areas not covered by a mobile communication network.
For step S200:
wherein the state range includes: the activity range and the body temperature range, and the early warning state is used for representing price fluctuation of living mortgage.
It will be appreciated that for a healthy, quality living mortgage, the body temperature of the living mortgage will not change particularly drastically over a period of time (e.g., over a day); similarly, the living mortgage activity should be smooth and not suddenly increased or decreased; moreover, the health status of the living mortgage is one of the determinants of the mortgage value of the living mortgage for the financial institution. Therefore, the living mortgage health state can be estimated based on the activity and the body temperature, so that the influence of the living mortgage health state on the living mortgage value can be measured, and the accuracy degree of living mortgage supervision in the embodiment of the application can be improved.
As a possible implementation manner, the early warning state includes: the first early warning state, the second early warning state and the third early warning state; comparing the state information with a preset state range to obtain an early warning state of the living mortgage, wherein the early warning state comprises the following steps:
comparing the body temperature information with the body temperature range, and comparing the activity amount information with the activity amount range;
responding to the fact that the body temperature information is lower than the body temperature range and the activity amount information is lower than the activity amount range, and obtaining the early warning state of the living mortgage as a first early warning state;
Responding to the fact that the body temperature information is higher than the body temperature range and exceeds a first threshold value, and the activity information is not lower than the activity range, and obtaining an early warning state of the living mortgage as a second early warning state;
responding to the fact that the body temperature information is higher than the body temperature range and does not exceed a first threshold value, and obtaining that the early warning state of the living mortgage is a third early warning state;
as one possible implementation, obtaining a mortgage value of a living mortgage based on an early warning status and a preset price of the living mortgage includes:
obtaining a mortgage value of the living mortgage based on the first early warning state and a preset price of the living mortgage as a first mortgage value;
obtaining the mortgage value of the living mortgage based on the second early warning state and the preset price of the living mortgage as a second mortgage value;
obtaining the mortgage value of the living mortgage based on the third early warning state and the preset price of the living mortgage as a third mortgage value;
wherein the first mortgage value is lower than the second mortgage value, which is lower than the third mortgage value.
Specifically, taking beef cattle as an example, the body temperature of healthy cattle varies within 1 ℃ within one day, the body temperature of calves is 38.5-39.5 ℃, the body temperature of young cattle is 38.0-39.5 ℃, and the body temperature of adult cattle is 38.0-39.0 ℃. In contrast, the different individuals have larger activity differences, so that the actual health evaluation algorithm model takes body temperature data as a main reference and takes activity data as an auxiliary reference, and threshold ranges of body temperature and activity are set in advance. The health state and the early warning grade of the cattle can be analyzed through the cattle health evaluation algorithm model. The model divides cow health early warning grade into three grades, namely serious, moderate and mild, and the specific conditions are as follows:
If the body temperature of the cow is continuously lower than the normal value and the activity is obviously reduced, the platform can give out serious early warning according to the cow health evaluation algorithm model, and the cow only suffers from great blood loss, viscera rupture, toxic diseases and the like at the moment, emergency measures need to be immediately taken, and otherwise, serious economic loss can be caused. According to the asset value evaluation model, the value of the cow is obviously reduced, and the value of the cow is increased after recovery.
If the body temperature of the cow is continuously higher than the normal value, the activity is obviously increased, and the platform can send out moderate early warning according to the cow health evaluation algorithm model and needs to be treated as soon as possible, otherwise, the heart and lung dysfunction of the cow is most likely to be caused. According to the asset value evaluation model, the value of the cow is reduced to some extent, and the value of the cow is increased after recovery.
If the body temperature of the cattle is higher than the normal value by more than 1 ℃ continuously and the activity does not change obviously, the platform can send out moderate early warning according to the health evaluation algorithm model of the cattle, and the cattle can only suffer from suppurative diseases or bronchopneumonia and the like. According to the asset value evaluation model, the value of the cow is reduced to some extent, and the value of the cow is increased after recovery.
If the body temperature of the cow is continuously higher than the normal value within 1 ℃, the platform can give out light early warning according to the cow health evaluation algorithm model, and the cow can only be in the conditions of heating or frightening, fighting and the like. According to the asset value evaluation model, the value of the cow is slightly reduced, and the value of the cow is increased after recovery.
For step S300:
it will be appreciated that the predetermined price may be the living mortgage, the price at which the financial institution is mortgage; for a financial institution, when the living mortgage is loaned, the value of the living mortgage is evaluated, and a price is given to the living mortgage; the financial institution may issue a loan to the farmer based on the price.
As a possible implementation manner, the method further comprises: acquiring transaction data, and adjusting a preset price of the living mortgage based on the transaction data;
wherein the transaction data comprises: one or more of livestock trade data, meat trade data, dairy trade data;
in step S300, obtaining the asset value of the living mortgage based on the early warning status and the preset price of the living mortgage includes:
and obtaining the asset value of the living mortgage based on the early warning state and the preset price of the adjusted living mortgage.
In some possible implementations, the embodiments of the present application may further obtain a feed price of the living mortgage, column output data of the living mortgage, predict a price of the living mortgage in a future period of time, and adjust a preset price of the living mortgage based on the predicted price.
Also, taking beef cattle as an example, the trade amount in the trade data is reduced a small extent but the price is increased a large extent, i.e. the supply amount of beef cattle is larger than the demand amount during the period, so the preset price can be adjusted to an increased value.
It will be appreciated that for living mortgages, in addition to the health status of the living mortgage itself, another influencing factor is the market factor. That is, the price of living mortgage products (e.g., meat, eggs, milk, fur, etc.) on the market will fluctuate with the supply and demand relationship of the product on the market, and the most intuitive manifestation of such supply and demand relationship fluctuations is the fluctuations in the price of the product and the fluctuations in the trading volume. For financial institutions, therefore, the supervision of living mortgages also needs to take into account the supply and demand relationships of the living mortgage products on the market. Therefore, the method and the device for monitoring the living mortgage can evaluate the supply and demand relation of the product represented by the living mortgage by acquiring the transaction data, so that the price of the living mortgage can be adjusted, and the accuracy and the precision of monitoring the living mortgage in the method and the device can be improved.
The embodiment of the application can divide the functional modules or functional units of the living mortgage supervision device according to the method example, for example, each functional module or functional unit can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiments of the present application is merely a logic function division, and other division manners may be implemented in practice.
As shown in fig. 4, a schematic structural diagram of a living mortgage supervision apparatus according to an embodiment of the present application is provided, where the apparatus includes:
a communication unit 202 for acquiring status information of a living mortgage; the status information includes: activity level information, and body temperature information;
the processing unit 201 is configured to compare the state information with a preset state range to obtain an early warning state of the living mortgage; wherein the state range includes: the activity range and the body temperature range, and the early warning state is used for representing price fluctuation of living mortgage;
and obtaining the mortgage value of the living mortgage based on the early warning state and the preset price of the living mortgage.
As a possible implementation manner of the second method of the present application, the early warning state includes: the first early warning state, the second early warning state and the third early warning state; comparing the state information with a preset state range to obtain an early warning state of the living mortgage, wherein the early warning state comprises the following steps:
comparing the body temperature information with the body temperature range, and comparing the activity amount information with the activity amount range;
responding to the fact that the body temperature information is lower than the body temperature range and the activity amount information is lower than the activity amount range, and obtaining the early warning state of the living mortgage as a first early warning state;
Responding to the fact that the body temperature information is higher than the body temperature range and exceeds a first threshold value, and the activity information is not lower than the activity range, and obtaining an early warning state of the living mortgage as a second early warning state;
responding to the fact that the body temperature information is higher than the body temperature range and does not exceed a first threshold value, and obtaining that the early warning state of the living mortgage is a third early warning state;
as one possible implementation, obtaining a mortgage value of a living mortgage based on an early warning status and a preset price of the living mortgage includes:
obtaining a mortgage value of the living mortgage based on the first early warning state and a preset price of the living mortgage as a first mortgage value;
obtaining the mortgage value of the living mortgage based on the second early warning state and the preset price of the living mortgage as a second mortgage value;
obtaining the mortgage value of the living mortgage based on the third early warning state and the preset price of the living mortgage as a third mortgage value;
wherein the first mortgage value is lower than the second mortgage value, which is lower than the third mortgage value.
As a possible implementation manner, the processing unit 201 is further configured to obtain transaction data, and adjust a preset price of the living mortgage based on the transaction data;
Wherein the transaction data comprises: one or more of livestock trade data, meat trade data, dairy trade data;
obtaining the asset value of the living mortgage based on the pre-warning status and the preset price of the living mortgage, comprising:
and obtaining the asset value of the living mortgage based on the early warning state and the preset price of the adjusted living mortgage.
When implemented in hardware, the communication unit 202 in the embodiments of the present application may be integrated on a communication interface, and the processing unit 201 may be integrated on a processor. A specific implementation is shown in fig. 5.
Fig. 5 shows a further possible constructional schematic of the living mortgage supervision device according to the embodiment described above. The living mortgage monitoring device includes: a processor 302 and a communication interface 303. The processor 302 is used to control and manage the actions of the living mortgage supervision device, for example, to perform the steps performed by the processing unit 201 described above, and/or to perform other processes of the techniques described herein. The communication interface 303 is used to support communication of the living mortgage supervision device with other network entities, e.g. to perform the steps performed by the communication unit 202 described above. The living mortgage monitoring device may further comprise a memory 301 and a bus 304, the memory 301 being adapted to store program code and data of the living mortgage monitoring device.
Wherein the memory 301 may be a memory in a living mortgage supervision device or the like, which may comprise a volatile memory, such as a random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.
The processor 302 described above may be implemented or executed with various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.
Bus 304 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus or the like. The bus 304 may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
In actual use, fig. 6 is a schematic diagram of another living mortgage monitoring system according to an embodiment of the present application;
as can be seen in fig. 6, the system comprises at least: a tag 6001, a gateway 6002, a living mortgage supervision device 6003, a web system 6004, and a mobile end application 6005.
Specifically, the tag 6001 may be a hardware tag based on a 2.4G private protocol, and may collect and store sign state information of a current live animal; the gateway 6002 may be a gateway with a fixed placement capable of communicating through a 2.4G private protocol and having a 4G capability, and may collect data of a tag within a range, store the data in the gateway, and uniformly report the currently stored tag information to the living mortgage monitoring device 6003 through the own 4G capability, and simultaneously receive an instruction issued by the living mortgage monitoring device 6003; the method comprises the step of including a mobile terminal application 6005, binding live animals with tags through the application, and checking the states of the live animals and pasture conditions in real time through the mobile terminal application 6005.
Further, the living mortgage supervision device 6003 also provides a web system 6004 for remote communication.
Further, the mobile end application 6005 has the capability of binding live animals with tags, can also view the status of the live animals in real time, and can remotely communicate with the living mortgage supervision device 6003.
Further, the hardware tag based on the 2.4G private protocol can collect and store the temperature and the motion quantity of living animals.
Further, the gateway 6002 has 4G capability and capability of communicating with the tag through a 2.4G private protocol, can collect and store data in the tag within a range, can communicate with a cloud server, and reports the collected data in real time and receives an instruction from the cloud server.
Further, the living mortgage monitoring device 6003 generates an analysis result according to the tag temperature and activity amount data reported by the gateway, and converts the activity amount into liveness according to the change of the movement amount in the unit time period.
Further, the living mortgage monitoring device 6003 may process unhealthy states (temperature increase, liveness decrease), oestrus (temperature increase, liveness increase), death (temperature decrease, liveness decrease), out of line, etc. of different collateral varieties according to the temperature and liveness states in the analysis result, including alarm notifications. Specifically, referring to fig. 7, fig. 7 is a functional schematic diagram of a living mortgage supervision system according to an exemplary embodiment of the present application. As can be seen from the figure, the living mortgage supervision system can provide the capability of remote inventory and remote inspection of the assets; the living mortgage supervision system can provide an asset offline inspection function and provide the capability of giving inspection results and breakpoint supplement transmission on site. The living mortgage monitoring system may also provide functions for pasture, housing, and living animal management.
Further, the living mortgage supervision system can also provide an asset value evaluation function, and the cloud server platform can be used for dynamically supervising the asset value after loan amount reference and loan by a financial institution according to the capability of the collateral for evaluating the collateral by combining the own asset evaluation model according to the variety, weight, age and other data of the collateral. Furthermore, the living mortgage supervision system can also provide a value risk early warning function, and the cloud server platform evaluates the collateral according to the variety, weight, age, health state and other data of the collateral in combination with the own asset evaluation model, and under the condition of triggering a value fluctuation threshold, the value risk early warning capability is triggered.
Specifically, referring to fig. 8, fig. 8 is a schematic diagram of an asset value evaluation flow provided in an embodiment of the present application; the living mortgage supervision system can obtain the evaluation of living mortgage through the built-in asset evaluation algorithm model and the acquired livestock transaction data, meat transaction data and living biological state data of the mortgage.
Fig. 9 is a schematic structural diagram of a chip 170 according to an embodiment of the present application. Chip 170 includes one or more (including two) processors 1710 and communication interfaces 1730.
Optionally, the chip 170 further includes a memory 1740, the memory 1740 may include read-only memory and random access memory, and provides operating instructions and data to the processor 1710. A portion of memory 1740 may also include non-volatile random access memory (non-volatile random access memory, NVRAM).
In some implementations, memory 1740 stores the elements, execution modules or data structures, or a subset thereof, or an extended set thereof.
In the present embodiment, the corresponding operations are performed by invoking operational instructions stored in memory 1740 (which may be stored in the operating system).
Wherein the processor 1710 may implement or perform various exemplary logic blocks, units, and circuits described in connection with the present disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.
Memory 1740 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.
Bus 1720 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus or the like. Bus 1720 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one line is shown in fig. 9, but not only one bus or one type of bus.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
Embodiments of the present application provide a computer program product comprising instructions that, when run on a computer, cause the computer to perform the living mortgage monitoring method of the method embodiments described above.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the instructions run on a computer, the instructions cause the computer to execute the living mortgage supervision method in the method flow shown in the method embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a register, a hard disk, an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Embodiments of the present invention provide a computer program product comprising instructions that, when run on a computer, cause the computer to perform a living mortgage supervision method as described in fig. 2.
Since the living mortgage monitoring device, the computer readable storage medium and the computer program product according to the embodiments of the present invention can be applied to the above method, the technical effects obtained by the device can also refer to the above method embodiments, and the embodiments of the present invention are not described herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of 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.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (11)

1. A method of living mortgage supervision, the method comprising:
acquiring state information of a living mortgage; the status information includes: activity level information, and body temperature information;
comparing the state information with a preset state range to obtain an early warning state of the living mortgage; wherein the state range includes: the early warning state is used for representing price fluctuation of the living mortgage;
And obtaining the mortgage value of the living mortgage based on the early warning state and the preset price of the living mortgage.
2. The method of claim 1, wherein the pre-warning state comprises: the first early warning state, the second early warning state and the third early warning state; and comparing the state information with a preset state range to obtain an early warning state of the living mortgage, wherein the early warning state comprises the following steps:
comparing the body temperature information with the body temperature range, and comparing the activity level information with the activity level range;
responding to the fact that the body temperature information is lower than the body temperature range and the activity amount information is lower than the activity amount range, and obtaining that the early warning state of the living mortgage is a first early warning state;
responding to the fact that the body temperature information is higher than the body temperature range and exceeds a first threshold value, and the activity amount information is not lower than the activity amount range, so that the early warning state of the living mortgage is a second early warning state;
and responding to the fact that the body temperature information is higher than the body temperature range and does not exceed a first threshold value, and obtaining the early warning state of the living mortgage as a third early warning state.
3. The method of claim 2, wherein the deriving a mortgage value for the living mortgage based on the pre-alarm status and a pre-set price for the living mortgage comprises:
Obtaining a mortgage value of the living mortgage based on the first early warning state and a preset price of the living mortgage as a first mortgage value;
obtaining the mortgage value of the living mortgage based on the second early warning state and the preset price of the living mortgage as a second mortgage value;
obtaining the mortgage value of the living mortgage based on the third early warning state and the preset price of the living mortgage as a third mortgage value;
wherein the first mortgage value is lower than the second mortgage value, which is lower than the third mortgage value.
4. A method according to any one of claims 1-3, wherein the method further comprises: acquiring transaction data, and adjusting a preset price of the living mortgage based on the transaction data;
wherein the transaction data comprises: one or more of livestock trade data, meat trade data, dairy trade data;
the obtaining the asset value of the living mortgage based on the early warning state and the preset price of the living mortgage includes:
and obtaining the asset value of the living mortgage based on the early warning state and the adjusted preset price of the living mortgage.
5. A living mortgage supervision apparatus, characterized in that the apparatus comprises:
the communication unit is used for acquiring the state information of the living mortgage; the status information includes: activity level information, and body temperature information;
the processing unit is used for comparing the state information with a preset state range to obtain an early warning state of the living mortgage; wherein the state range includes: the early warning state is used for representing price fluctuation of the living mortgage;
and obtaining the mortgage value of the living mortgage based on the early warning state and the preset price of the living mortgage.
6. The apparatus of claim 5, wherein the pre-alarm condition comprises: the first early warning state, the second early warning state and the third early warning state; and comparing the state information with a preset state range to obtain an early warning state of the living mortgage, wherein the early warning state comprises the following steps:
comparing the body temperature information with the body temperature range, and comparing the activity level information with the activity level range;
responding to the fact that the body temperature information is lower than the body temperature range and the activity amount information is lower than the activity amount range, and obtaining that the early warning state of the living mortgage is a first early warning state;
Responding to the fact that the body temperature information is higher than the body temperature range and exceeds a first threshold value, and the activity amount information is not lower than the activity amount range, so that the early warning state of the living mortgage is a second early warning state;
and responding to the fact that the body temperature information is higher than the body temperature range and does not exceed a first threshold value, and obtaining the early warning state of the living mortgage as a third early warning state.
7. The apparatus of claim 6, wherein the deriving a mortgage value for the living mortgage based on the pre-alarm status and a pre-set price for the living mortgage comprises:
obtaining a mortgage value of the living mortgage based on the first early warning state and a preset price of the living mortgage as a first mortgage value;
obtaining the mortgage value of the living mortgage based on the second early warning state and the preset price of the living mortgage as a second mortgage value;
obtaining the mortgage value of the living mortgage based on the third early warning state and the preset price of the living mortgage as a third mortgage value;
wherein the first mortgage value is lower than the second mortgage value, which is lower than the third mortgage value.
8. The apparatus according to any one of claims 5-7, wherein the processing unit is further configured to obtain transaction data and adjust a price preset for the living mortgage based on the transaction data;
wherein the transaction data comprises: one or more of livestock trade data, meat trade data, dairy trade data;
the obtaining the asset value of the living mortgage based on the early warning state and the preset price of the living mortgage includes:
and obtaining the asset value of the living mortgage based on the early warning state and the adjusted preset price of the living mortgage.
9. A living mortgage supervision device, the device comprising: a processor and a communication interface; the communication interface is coupled to the processor for running a computer program or instructions to implement the method of any of claims 1-4.
10. A living mortgage supervision system, the system comprising: the living mortgage monitoring device of claim 9 in communication with the living mortgage monitoring device of claim 9 based on a communication protocol of 2.4G or 433M, and a collecting device for collecting status information of the living mortgage.
11. A computer readable storage medium having instructions stored therein, characterized in that, when the instructions are executed by a computer, the computer performs the method of any of the preceding claims 1-4.
CN202211730630.5A 2022-12-30 2022-12-30 Living mortgage supervision method, device, system and medium Pending CN116188139A (en)

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