Oil and fat price setting device, oil and fat price setting system, oil and fat price setting method, and oil and fat price setting program

Abstract

To provide an oil and fat price setting device, an oil and fat price setting system, an oil and fat price setting method, and an oil and fat price setting program capable of setting a fair price for waste oil to be recycled.SOLUTION: A cloud server 4, 4A as an oil and fat price setting device for setting a price of frying oil P includes: a storage unit 42 that stores a correlation between a deterioration index of the frying oil P and conversion efficiency from the frying oil P to biomass resources; a data acquisition unit 41 that acquires a measurement value of the deterioration index; a collection price calculation unit 43 that calculates a collection price of the frying oil P when it is collected as waste oil on the basis of the measurement value acquired by the data acquisition unit 41 and the correlation stored in the storage unit 42; and a price setting output unit 44, 44A that sets and outputs the price of the frying oil P based on the collection price calculated by the collection price calculation unit 43.SELECTED DRAWING: Figure 13

Description

[Technical field]

[0001] The present invention relates to an oil and fat price setting device, an oil and fat price setting system, an oil and fat price setting method, and an oil and fat price setting program for setting the price of oil and fats. [Background technology]

[0002] In recent years, efforts have been made to promote the Sustainable Development Goals (2030 Agenda for Sustainable Development, adopted at the United Nations Summit on September 25, 2015, hereafter referred to as "SDGs"). In line with this, technologies that aim to prevent waste generation, reduce waste, and significantly reduce waste generation by recycling and reusing products in order to ensure sustainable production and consumption patterns have become known.

[0003] For example, waste oil from businesses, such as restaurants and factories, is collected by specialized waste oil collectors and then reborn as biomass resources such as biofuel, biomass naphtha, and bioplastics for reuse. To obtain high-quality biomass resources, it is preferable for the waste oil to contain fewer impurities.

[0004] Patent Document 1 discloses a liquid waste recovery system in which, when a waste provider deposits waste oil as liquid waste into a receiving tank, an electrical resistance meter measures the electrical resistance of the waste oil, and if the measured electrical resistance value is within a range determined according to the target waste, the waste oil is determined to be target waste, and the weight of the waste oil measured by a weighing scale is at a level that is commensurate with the collection cost, the provided waste oil is recovered. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 11-217104 Summary of the Invention [Problem to be solved by the invention]

[0006] However, in the liquid waste recovery system described in Patent Document 1, when determining whether the provided waste oil can be recycled, the amount of water in the waste oil calculated from the electrical resistance is used as the criterion, and the accuracy of the determination is low because the overall degree of deterioration of the waste oil that progresses over time is not taken into consideration. Furthermore, the recovery fee for the provided waste oil is set by the recovery company based only on the weight of the waste oil, regardless of the degree of deterioration of the waste oil, so there is a high possibility that it is not traded at a fair price.

[0007] Therefore, the object of the present invention is to provide an oil and fat price setting device, an oil and fat price setting system, an oil and fat price setting method, and an oil and fat price setting program that are capable of setting an appropriate price for recycled waste oil. [Means for solving the problem]

[0008] [1] The present invention is an oil and fat price setting device that sets the price of oil and fats, and is characterized in that it includes: a memory unit that stores a correlation between a deterioration index, which is an index showing the degree of deterioration of the oil and fats, and the conversion efficiency of the oil and fats to the biomass resource when the oil and fats are recycled as a biomass resource; a data acquisition unit that acquires a measurement value of the deterioration index; a recovery price calculation unit that calculates the recovery price of the oil and fats when recovered as waste oil based on the measurement value acquired by the data acquisition unit and the correlation stored in the memory unit; and a price setting output unit that sets and outputs the price of the oil and fats based on the recovery price calculated by the recovery price calculation unit.

[0009] [2] Preferably, in the oil and fat price setting device described in [1], the recovery price calculation unit calculates the recovery price based on the magnitude of the deterioration index corresponding to the measurement value shown in the correlation, and the recovery price becomes lower as the degree of deterioration is greater.

[0010] [3] Preferably, in the oil and fat price setting device described in [1], the recovery price calculation unit calculates the recovery price based on the level of the conversion efficiency corresponding to the measured value shown in the correlation, and the recovery price becomes lower as the conversion efficiency becomes lower.

[0011] [4] Preferably, in the oil and fat pricing device described in [1], the correlation is expressed as a proportional equation between the deterioration index and the conversion efficiency, and the greater the degree of deterioration, the lower the conversion efficiency.

[0012] [5] Preferably, in the oil and fat pricing device described in [1], the deterioration indicator is the acid value of the oil and fat, the color of the oil and fat, or the amount of polar compounds contained in the oil and fat.

[0013] [6] Preferably, in the oil and fat price setting device described in [1], the correlation is a correlation equation that expresses the conversion efficiency as a polynomial of the deterioration index.

[0014] [7] Preferably, in the oil and fat price setting device described in [6], the deterioration indicators include the acid value of the oil and fat, the color of the oil and fat, the amount of polar compounds contained in the oil and fat, and the amount of metals contained in the oil and fat, and the correlation equation is expressed by the following formula, where the conversion efficiency is CE, the acid value is AV, the color is COLOR, the amount of polar compounds is PC, phosphorus as the metal amount is P, and sodium as the metal amount is Na. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: coefficient of PC δ: P coefficient ε: Na coefficient ζ: constant

[0015] [8] Preferably, the oil and fat price setting device described in [1] further includes a supply price calculation unit that calculates the supply price of the oil and fat when it is supplied as new oil based on the recovery price calculated by the recovery price calculation unit, and the price setting output unit sets and outputs the supply price calculated by the supply price calculation unit instead of the recovery price calculated by the recovery price calculation unit, or the supply price calculated by the supply price calculation unit together with the recovery price calculated by the recovery price calculation unit, as the price of the oil and fat.

[0016] [9] The present invention also provides a fat price setting system for setting the price of fats and oils, comprising: a measuring device for measuring a deterioration index, which is an index showing the degree of deterioration of the fats and oils; a fat price setting device for setting the price of the fats and oils based on the measurement value measured by the measuring device; and an alarm device for alarming the price of the fats and oils set by the fat price setting device, wherein the fat price setting device stores a correlation between the deterioration index of the fats and oils and the conversion efficiency of the fats and oils to biomass resources when the fats and oils are recycled as biomass resources, acquires the measurement value measured by the measuring device, calculates the recovery price of the fats and oils when they are recovered as waste oil based on the acquired measurement value and the stored correlation, and sets the price of the fats and oils based on the calculated recovery price and outputs it to the alarm device.

[0017]

[10] Preferably, in the oil and fat pricing system described in [9], the oil and fat pricing device calculates the recovery price based on the magnitude of the deterioration index corresponding to the measurement value shown in the stored correlation, and the recovery price becomes lower as the degree of deterioration is greater.

[0018]

[11] Preferably, in the oil and fat pricing system described in [9], the oil and fat pricing device calculates the recovery price based on the level of conversion efficiency corresponding to the measured value shown in the stored correlation, and the recovery price becomes lower as the conversion efficiency becomes lower.

[0019]

[12] Preferably, in the oil and fat pricing system described in [9], the correlation is expressed as a proportional equation between the deterioration index and the conversion efficiency, and the greater the degree of deterioration, the lower the conversion efficiency.

[0020]

[13] Preferably, in the oil and fat pricing system described in [9], the deterioration indicator is the acid value of the oil and fat, the color of the oil and fat, or the amount of polar compounds contained in the oil and fat.

[0021]

[14] Preferably, in the oil and fat pricing system described in [9], the correlation is a correlation equation that expresses the conversion efficiency as a polynomial of the deterioration index.

[0022]

[15] Preferably, in the oil and fat pricing system described in

[14] , the deterioration index includes the acid value of the oil and fat, the color of the oil and fat, the amount of polar compounds contained in the oil and fat, and the amount of metals contained in the oil and fat, and the correlation equation is expressed by the following formula, where the conversion efficiency is CE, the acid value is AV, the color is COLOR, the amount of polar compounds is PC, phosphorus as the amount of metal is P, and sodium as the amount of metal is Na. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: coefficient of PC δ: P coefficient ε: Na coefficient ζ: constant

[0023]

[16] Preferably, in the oil and fat pricing system described in [9], the oil and fat pricing device calculates the offering price of the oil and fat when it is offered as new oil based on the calculated recovery price, and sets the calculated offering price in place of the calculated recovery price, or the calculated offering price together with the calculated recovery price, as the price of the oil and fat, and outputs it to the alarm device.

[0024]

[17] The present invention also provides a method for setting the price of fats and oils, comprising: a measuring device for measuring a deterioration index, which is an index showing the degree of deterioration of the fats and oils; and a fats and oils price setting device for setting the price of the fats and oils based on the measurement value measured by the measuring device. The method includes the following steps: a measurement step in which the measuring device measures the deterioration index of the fats and oils; a data acquisition step in which the fats and oils price setting device acquires the measurement value measured in the measurement step; a recovery price calculation step in which the fats and oils price setting device calculates a recovery price of the fats and oils when recovered as waste oil based on the measurement value acquired in the data acquisition step, the deterioration index of the fats and oils, and a correlation between the conversion efficiency of the fats and oils to biomass resources when the fats and oils are recycled as biomass resources; and a price setting output step in which the fats and oils price setting device sets and outputs the price of the fats and oils based on the recovery price calculated in the recovery price calculation step.

[0025]

[18] Preferably, in the method for setting oil and fat prices described in

[17] , in the recovery price calculation step, the oil and fat price setting device calculates the recovery price based on the magnitude of the deterioration index corresponding to the measured value shown in the correlation, and the recovery price becomes lower as the degree of deterioration is greater.

[0026]

[19] Preferably, in the method for setting oil and fat prices described in

[17] , in the recovery price calculation step, the oil and fat price setting device calculates the recovery price based on the degree of conversion efficiency corresponding to the measured value shown in the correlation, and the recovery price becomes lower as the conversion efficiency becomes lower.

[0027]

[20] Preferably, in the method for setting oil and fat prices described in

[17] , the correlation is expressed as a proportional equation between the deterioration index and the conversion efficiency, and the greater the degree of deterioration, the lower the conversion efficiency.

[0028]

[21] Preferably, in the method for setting oil and fat prices described in

[17] , the deterioration indicator is the acid value of the oil and fat, the color of the oil and fat, or the amount of polar compounds contained in the oil and fat.

[0029]

[22] Preferably, in the oil and fat price setting method described in

[17] , the correlation is a correlation equation that expresses the conversion efficiency as a polynomial of the deterioration index.

[0030]

[23] Preferably, in the method for setting oil and fat prices described in

[22] , the deterioration index includes the acid value of the oil and fat, the color of the oil and fat, the amount of polar compounds contained in the oil and fat, and the amount of metals contained in the oil and fat, and the correlation equation is expressed by the following formula, where the conversion efficiency is CE, the acid value is AV, the color is COLOR, the amount of polar compounds is PC, phosphorus as the amount of metal is P, and sodium as the amount of metal is Na. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: coefficient of PC δ: P coefficient ε: Na coefficient ζ: constant

[0031]

[24] Preferably, the oil and fat price setting method described in

[17] further includes a supply price calculation step in which the oil and fat price setting device calculates the supply price of the oil and fat when it is supplied as new oil based on the recovery price calculated in the recovery price calculation step, and in the price setting output step, the oil and fat price setting device sets and outputs the supply price calculated in the supply price calculation step instead of the recovery price calculated in the recovery price calculation step, or the supply price calculated in the supply price calculation step together with the recovery price calculated in the recovery price calculation step, as the price of the oil and fat.

[0032]

[25] The present invention also provides an oil and fat price setting program for setting the price of oil and fats, which is characterized by having a computer execute a data acquisition process for acquiring a measurement value of a deterioration index, which is an index showing the degree of deterioration of the oil and fats; a recovery price calculation process for calculating the recovery price of the oil and fats when recovered as waste oil based on the measurement value acquired by the data acquisition process, the deterioration index of the oil and fats, and a correlation between the conversion efficiency of the oil and fats to the biomass resource when the oil and fats are recycled as a biomass resource; and a price setting output process for setting and outputting the price of the oil and fats based on the recovery price calculated by the recovery price calculation process.

[0033]

[26] Preferably, in the oil and fat pricing program described in

[25] , the correlation is expressed as a proportional equation between the deterioration index and the conversion efficiency, and the greater the degree of deterioration, the lower the conversion efficiency.

[0034]

[27] Preferably, in the oil and fat pricing program described in

[25] , the correlation is a correlation equation that expresses the conversion efficiency as a polynomial of the deterioration index.

[0035]

[28] Preferably, in the oil and fat price setting program described in

[27] , the deterioration index includes the acid value of the oil and fat, the color of the oil and fat, the amount of polar compounds contained in the oil and fat, and the amount of metals contained in the oil and fat, and the correlation equation is expressed by the following formula, where the conversion efficiency is CE, the acid value is AV, the color is COLOR, the amount of polar compounds is PC, phosphorus as the metal amount is P, and sodium as the metal amount is Na. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: coefficient of PC δ: P coefficient ε: Na coefficient ζ: constant Effect of the Invention

[0036] According to the present invention, it is possible to set an appropriate price for recycled waste oil. Problems, configurations and effects other than those described above will become apparent from the following description of the embodiments. [Brief description of the drawings]

[0037] [Figure 1] 1 is a system configuration diagram showing an example of the configuration of an oil and fat price setting system according to a first embodiment of the present invention. [Diagram 2] 1 is a graph showing the correlation between the acid value of frying oil and the conversion efficiency from frying oil to biofuel. [Diagram 3] 1 is a graph showing the correlation between the color of frying oil and the conversion efficiency of frying oil to biofuel. [Figure 4] 1 is a graph showing the correlation between the amount of polar compounds contained in frying oil and the conversion efficiency from frying oil to biofuel. [Diagram 5] 1 is a graph showing the correlation between the phosphorus content of frying oil and the conversion efficiency of frying oil to biofuel. [Figure 6] 1 is a graph showing the correlation between the sodium content of frying oil and the efficiency of conversion of frying oil to biofuel. [Figure 7] 1 is a graph showing the correlation between the zinc content of frying oil and the conversion efficiency of frying oil to biofuel. [Figure 8] 1 is a graph showing the correlation between the magnesium content of frying oil and the conversion efficiency of frying oil to biofuel. [Figure 9] 1 is a graph showing the correlation between the calcium content of frying oil and the conversion efficiency of frying oil to biofuel. [Figure 10] FIG. 2 illustrates an example of a hardware configuration of a cloud server. [Figure 11] FIG. 2 is a functional block diagram showing functions of a cloud server. [Figure 12] 10 is a diagram for explaining a method for calculating the recovery price of waste oil in the recovery price calculation unit. FIG. [Figure 13]13 is a flowchart showing the flow of a process executed on the cloud server. [Figure 14] FIG. 1 is a diagram illustrating an example of a business model that can be realized using a cloud server. [Figure 15] FIG. 11 is a diagram illustrating another example of the correlation between the deterioration index of frying oil and the conversion efficiency from frying oil to biofuel. [Figure 16] FIG. 11 is a functional block diagram showing functions of a cloud server according to the second embodiment of the present invention. [Figure 17] 10 is a flowchart showing a flow of processing executed by a cloud server according to the second embodiment. [Figure 18] FIG. 11 is a diagram showing an example of a business model that can be realized by using a cloud server according to the second embodiment. [Figure 19] FIG. 11 is a diagram showing another example of a business model that can be realized by using the cloud server according to the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0038] The oil and fat pricing system according to each embodiment of the present invention is a system that sets the prices of oils and fats that can be recycled as biomass resources such as biomass fuel, biomass naphtha, and bioplastics. In the following, we will explain the oils and fats that can be recycled as biomass resources by taking as an example edible oil (hereinafter referred to as "frying oil") used for cooking fried foods at convenience stores, supermarkets, restaurants, etc.

[0039] [First embodiment] An oil and fat price setting system 1 according to a first embodiment of the present invention will be described with reference to FIGS.

[0040] (Configuration of Oil and Fats Price Setting System 1) First, the configuration of an oil and fat price setting system 1 according to the first embodiment will be described with reference to FIG.

[0041] FIG. 1 is a system configuration diagram showing an example of the configuration of an oil and fat price setting system 1 according to a first embodiment of the present invention.

[0042] Convenience stores, supermarkets, restaurants, and other establishments that use large amounts of frying oil P generally store used and degraded frying oil P in drums Q or the like as waste oil for business use, and have a waste oil collector periodically collect it. The oil and fat price setting system 1 according to this embodiment sets the collection price (purchase price) of the frying oil P when it is collected as waste oil by the waste oil collector.

[0043] The oil and fat price setting system 1 is composed of a measurement sensor 2 as a measuring device that measures a deterioration index that indicates the degree of deterioration of frying oil P stored in a drum Q, a mobile terminal 3 that displays information related to the frying oil P, and a cloud server 4 that executes an oil and fat price setting program for setting the price of the frying oil P.

[0044] Examples of deterioration indicators of frying oil P include the acid value (AV) of frying oil P, the polar compound content (PC) contained in frying oil P, the color of frying oil P, the metal content (e.g., P, Na, Zn, Mg, Ca, etc.) of frying oil P, the viscosity of frying oil P, the viscosity increase rate of frying oil P, the foaming of frying oil P, the peroxide value of frying oil P, the anisidine value of frying oil P, the carbonyl value of frying oil P, the smoke point of frying oil P, the tocopherol content of frying oil P, the iodine value of frying oil P, the refractive index of frying oil P, and the amount of volatile components of frying oil P. All of these are parameters that change with the passage of time the frying oil P is heated.

[0045] These deterioration indexes of frying oil P can be determined accurately by physicochemical analysis or measurement methods using analytical equipment in accordance with the standard fats and oils analysis test methods, ISO, etc. Furthermore, at sites where frying oil P used in deep-frying is discarded (e.g. convenience stores, supermarkets, restaurants, etc.), it is possible to simply measure the deterioration index of frying oil P by using measuring devices such as cameras, various sensors, and test papers instead of these measurement methods.

[0046] For example, the acid value of frying oil P can be measured using a test paper that measures the acid value from the color change of the area where frying oil P is dropped, or an AV sensor that can directly measure the acid value of frying oil P by immersing it in frying oil P. For example, the amount of polar compounds contained in frying oil P can be measured using a PC sensor that can directly measure the amount of polar compounds contained in frying oil P by immersing it in frying oil P. For example, the amount of volatile components in frying oil P can be measured using a general-purpose gas sensor (for example, a semiconductor gas sensor or a quartz crystal resonator gas sensor).

[0047] Other methods for measuring the deterioration index of frying oil P include, for example, a method of measuring the deterioration index of frying oil P by applying image recognition technology to a surface image of frying oil P taken with a camera, a method of estimating the deterioration index of frying oil P based on the spectrum of frying oil P measured with a spectrometer or near-infrared spectrometer, and a method of visually evaluating the deterioration index of frying oil P in light of samples that show a graded deterioration index of edible oil.

[0048] 1, in this embodiment, the measurement sensor 2 is a measuring device such as an AV sensor or a PC sensor that can directly measure the deterioration index of the frying oil P by immersing it in the frying oil P. Note that when measuring the deterioration index of the frying oil P, it is not necessarily necessary to use the measurement sensor 2, and a known measuring device including the measuring devices listed above may be used, or a known measuring method including the measuring methods listed above may be used.

[0049] The measurement sensor 2 is communicably connected to the mobile terminal 3, and outputs data (measured values) relating to the deterioration index of the frying oil P measured to the mobile terminal 3.

[0050] The mobile terminal 3 and the cloud server 4 are directly or indirectly connected to each other so as to be able to communicate information with each other via a communication network such as the Internet line.

[0051] The mobile terminal 3 outputs the measurement value of the deterioration index of the frying oil P acquired from the measurement sensor 2 to the cloud server 4. That is, in this embodiment, the measurement value of the deterioration index of the frying oil P measured by the measurement sensor 2 is output to the cloud server 4 via the mobile terminal 3.

[0052] The measurement sensor 2 does not necessarily need to be communicatively connected to the mobile terminal 3, and may be communicatively connected to the cloud server 4, for example. In this case, the measurement value of the deterioration index of the frying oil P measured by the measurement sensor 2 is output directly to the cloud server 4 without going through the mobile terminal 3. In addition, when the deterioration index of the frying oil P is measured by a method other than a method using a measuring device capable of directly measuring the measurement value of the deterioration index of the frying oil P, such as a test paper or a sample, the measurement value of the deterioration index of the frying oil P is input directly to the mobile terminal 3.

[0053] The cloud server 4 stores the correlation between the deterioration index of the frying oil P and the conversion efficiency of the frying oil P to biomass resources when the frying oil P is recycled as a biomass resource, and is one embodiment of an oil and fat price setting device that sets the price of the frying oil P based on the measurement value of the deterioration index of the frying oil P measured by the measurement sensor 2 and the stored correlation.

[0054] In this embodiment, the cloud server 4 executes a process of acquiring the measurement value of the deterioration index of the frying oil P measured by the measurement sensor 2 (data acquisition process), a process of calculating the recovery price of the frying oil P when it is collected as waste oil based on the acquired measurement value and the stored correlation (recovery price calculation process), and a process of setting the calculated recovery price of the frying oil P as the price of the frying oil P and outputting it to the mobile terminal 3 (price setting output process).

[0055] The mobile terminal 3 displays on its display the collection price of the frying oil P output from the cloud server 4. In other words, the mobile terminal 3 is one aspect of a notification device that notifies (including a text display and a sound notification) the price of the frying oil P set by the cloud server 4.

[0056] (Correlation between deterioration index of frying oil P and conversion efficiency) Next, the correlation between the deterioration index of the frying oil P and the conversion efficiency from the frying oil P to biomass resources when the frying oil P is recycled as a biomass resource will be described with reference to FIGS.

[0057] The conversion efficiency [%] shown in each of Figures 2 to 9 is the conversion efficiency from frying oil P to biomass fuel (hereinafter referred to as "biofuel") such as biodiesel fuel (BDF) or sustainable aviation fuel (SAF).

[0058] This "conversion efficiency from frying oil P to biofuel" corresponds to the hydrogenation efficiency (hydrocarbon yield) when the frying oil P is subjected to hydrogenation (deoxygenation) to produce biofuel. The hydrogenation is preferably performed in the presence of a catalyst. The catalyst preferably contains one or more metals selected from Groups 7 to 10 of the Periodic Table of Elements, and more preferably contains one or more metals selected from the group consisting of iridium, palladium, platinum, rhenium, rhodium ruthenium, and nickel. In Figures 2 to 9, the hydrogenation of the frying oil P using an Ir-ReOx-SiO2 catalyst is performed, and the conversion efficiency is calculated as 100% when the frying oil P is new oil or oil equivalent to new oil.

[0059] Fig. 2 is a graph showing the correlation between the acid value [mg KOH / g] of frying oil P and the conversion efficiency [%] of frying oil P to biofuel. The acid value (AV) of frying oil P shown in Fig. 2 is a value measured by a standard method in accordance with the Standard Oil and Fats Analysis Test Method. As shown in Fig. 2, there is a correlation between the acid value of frying oil P and the conversion efficiency of frying oil P to biofuel, in that the higher the acid value of frying oil P, the lower the conversion efficiency of frying oil P to biofuel.

[0060] Fig. 3 is a graph showing the correlation between the color [Y+10R] of frying oil P and the conversion efficiency [%] of frying oil P to biofuel. The color of frying oil P shown in Fig. 3 is a value measured and calculated using a Lovibond automatic colorimeter (Lovibond (registered trademark) PFXi-880, manufactured by The Tintometer Ltd.) in accordance with AOCS (The American oil Chemists' Society). As shown in Fig. 3, there is a correlation between the color of frying oil P and the conversion efficiency of frying oil P to biofuel, in that the darker the color of frying oil P (the larger the color value), the lower the conversion efficiency of frying oil P to biofuel.

[0061] Fig. 4 is a graph showing the correlation between the amount of polar compounds [%TPM] contained in frying oil P and the conversion efficiency [%] of frying oil P to biofuel. The amount of polar compounds shown in Fig. 4 is a value measured using a testo270 (manufactured by Testo Corporation). As shown in Fig. 4, there is a correlation between the amount of polar compounds (PC) contained in frying oil P and the conversion efficiency of frying oil P to biofuel, in that the greater the amount of polar compounds contained in frying oil P, the lower the conversion efficiency of frying oil P to biofuel.

[0062] Figure 5 is a graph showing the correlation between the phosphorus content [ppm] of frying oil P and the conversion efficiency [%] of frying oil P to biofuel. As shown in Figure 5, there is a correlation between the phosphorus (P) content of frying oil P and the conversion efficiency of frying oil P to biofuel, which shows that the higher the phosphorus content of frying oil P, the lower the conversion efficiency of frying oil P to biofuel.

[0063] Figure 6 is a graph showing the correlation between the sodium content [ppm] of frying oil P and the conversion efficiency [%] of frying oil P to biofuel. As shown in Figure 6, there is a correlation between the sodium (Na) content of frying oil P and the conversion efficiency of frying oil P to biofuel, which indicates that the higher the sodium content of frying oil P, the lower the conversion efficiency of frying oil P to biofuel.

[0064] Figure 7 is a graph showing the correlation between the zinc content [ppm] of frying oil P and the conversion efficiency [%] of frying oil P to biofuel. As shown in Figure 7, there is a correlation between the zinc (Zn) content of frying oil P and the conversion efficiency of frying oil P to biofuel, which shows that the higher the zinc content of frying oil P, the lower the conversion efficiency of frying oil P to biofuel.

[0065] Figure 8 is a graph showing the correlation between the magnesium content [ppm] of frying oil P and the conversion efficiency [%] of frying oil P to biofuel. As shown in Figure 8, there is a correlation between the magnesium (Mg) content of frying oil P and the conversion efficiency of frying oil P to biofuel, which indicates that the higher the magnesium content of frying oil P, the lower the conversion efficiency of frying oil P to biofuel.

[0066] Fig. 9 is a graph showing the correlation between the calcium content [ppm] of frying oil P and the conversion efficiency [%] of frying oil P to biofuel. As shown in Fig. 9, there is a correlation between the calcium (Ca) content of frying oil P and the conversion efficiency of frying oil P to biofuel, which indicates that the higher the calcium content of frying oil P, the lower the conversion efficiency of frying oil P to biofuel.

[0067] The phosphorus content of frying oil P shown in Figure 5, the sodium content of frying oil P shown in Figure 6, the zinc content of frying oil P shown in Figure 7, the magnesium content of frying oil P shown in Figure 8, and the calcium content of frying oil P shown in Figure 9 are all values ​​measured using an ICP optical emission spectrometer (manufactured by Hitachi High-Tech Science Corporation), and the CONOSTAN (registered trademark) Oil Analysis Standard (manufactured by SCP SCIENCE, Inc.) was used for quantification.

[0068] As shown in Figures 2 to 9, there is a proportional correlation between the deterioration index of the frying oil P and the conversion efficiency of the frying oil P to biofuel. Specifically, the correlation between the deterioration index of the frying oil P and the conversion efficiency of the frying oil P to biofuel is expressed by a proportional equation between the deterioration index of the frying oil P and the conversion efficiency of the frying oil P to biofuel, "(conversion efficiency of frying oil P to biofuel) = (correlation coefficient R) x (deterioration index of frying oil P)", and the greater the degree of deterioration of the frying oil P, the lower the conversion efficiency of the frying oil P to biofuel. The cloud server 4 applies the measured value of the deterioration index of the frying oil P measured by the measurement sensor 2 to this correlation to set the collection price of the frying oil P.

[0069] In addition, in all of Figures 2 to 9, the correlation coefficient R (the slope of the correlation graph shown by the dashed line) is a negative coefficient, but this is not limited to this. In the correlation between the deterioration index, whose value decreases as the degree of deterioration of the frying oil P increases, and the conversion efficiency of frying oil P to biofuel, the correlation coefficient R is a positive coefficient.

[0070] Furthermore, when comparing the correlation graphs of Figures 2 to 4 with those of Figures 5 to 9, the deterioration indexes of frying oil P in Figures 2 to 4 have a higher correlation with the conversion efficiency from frying oil P to biofuel than the deterioration indexes of frying oil P in Figures 5 to 9. In other words, it can be said that, among the deterioration indexes of frying oil P, the acid value, color, and amount of polar compounds have a higher correlation with the conversion efficiency from frying oil P to biofuel than the metal content.

[0071] Therefore, when setting the collection price of the frying oil P, it is desirable for the cloud server 4 to use a correlation between any of the deterioration indicators, namely the acid value of the frying oil P, the color of the frying oil P, and the amount of polar compounds contained in the frying oil P, and the conversion efficiency of the frying oil P to biofuel, thereby enabling a more appropriate collection price to be set for the recycled frying oil P (waste oil).

[0072] (Hardware configuration to realize the functions of cloud server 4) Next, the hardware configuration for realizing the functions of cloud server 4 will be described with reference to FIG.

[0073] FIG. 10 is a diagram illustrating an example of a hardware configuration of the cloud server 4. As shown in FIG.

[0074] A computer that realizes the functions of cloud server 4 (for example, a computer owned by a company that provides a cloud system) has, as its hardware configuration, a central processing unit (CPU) 40A, a random access memory (RAM) 40B, a read only memory (ROM) 40C, a hard disk drive (HDD) 40D, and an interface (I / F) 40E. These components are connected to each other via a common bus 40F.

[0075] The CPU 40A is a computing means, and controls the overall operation of the cloud server 4.

[0076] The RAM 40B is a volatile storage medium that allows high speed reading and writing of information, and is used, for example, as a working area when the CPU 40A processes management information.

[0077] The ROM 40C is a read-only non-volatile storage medium, and stores programs such as firmware.

[0078] The HDD 40D is a non-volatile storage medium that is capable of reading and writing information and has a large storage capacity, and stores an OS (Operating System), control programs for executing various information processes (described later), and application programs.

[0079] The HDD 40D may be replaced by any type of device, such as a solid state drive (SSD), as long as it is a non-volatile storage medium that can store and manage information.

[0080] The I / F 40E is a connection interface with a communication network, and the mobile terminal 3 is connected thereto.

[0081] The cloud server 4 having such a hardware configuration is an information processing device that realizes processing functions by the calculation functions of the CPU 40A based on control programs stored in the ROM 40C and control programs and application programs loaded from a storage medium such as the HDD 40D to the RAM 40B.

[0082] Execution of these information processes configures a software control unit including various functional modules in the cloud server 4. A functional block that realizes the functions of the cloud server 4 is configured by combining the software control unit configured in this manner with hardware resources including the above configuration.

[0083] The fats and oils price setting device does not necessarily have to be configured by the cloud server 4, and may be configured by a server device. When the fats and oils price setting device is configured by a server device, the server device has the above hardware configuration.

[0084] (Functional configuration of cloud server 4) Next, the functional configuration of cloud server 4 will be described with reference to FIGS.

[0085] FIG. 11 is a functional block diagram showing functions of the cloud server 4 according to the first embodiment of the present invention.

[0086] As shown in FIG. 11, the cloud server 4 includes a data acquisition unit 41, a storage unit 42, a collection price calculation unit 43, and a price setting output unit 44.

[0087] The data acquiring unit 41 acquires the measurement value of the deterioration index of the frying oil P measured by the measurement sensor 2. In this embodiment, the data acquiring unit 41 acquires the measurement value of the deterioration index of the frying oil P via the mobile terminal 3.

[0088] The storage unit 42 stores a correlation between the deterioration index of the frying oil P and the conversion efficiency of the frying oil P to biomass resources (hereinafter simply referred to as "correlation").

[0089] The recovery price calculation unit 43 calculates the recovery price of the frying oil P when it is recovered as waste oil based on the measurement value of the deterioration index of the frying oil P acquired by the data acquisition unit 41 and the correlation stored in the memory unit 42.

[0090] 12 is a diagram for explaining a method for calculating the collection price of waste oil in the collection price calculation unit 43. Note that, in the following, a method for calculating the collection price of waste oil based on the correlation between the acid value of frying oil P and the conversion efficiency from frying oil P to biofuel will be explained as an example, but the same applies to other methods for calculating the collection price of waste oil based on the correlation between the deterioration index of frying oil P and the conversion efficiency from frying oil P to biofuel.

[0091] The recovery price calculation unit 43 calculates the recovery price of the frying oil P based on the magnitude of the correlation deterioration index corresponding to the measurement value of the deterioration index of the frying oil P.

[0092] For example, if the recovery price of frying oil P is x yen / ml when the acid value of frying oil P is 0.0 (point X0 shown in FIG. 12), the recovery price of frying oil P when the acid value of frying oil P is 0.4 will be (x / 4) yen / ml (point X1 shown in FIG. 12), the recovery price of frying oil P when the acid value of frying oil P is 0.9 will be (x / 9) yen / ml (point X2 shown in FIG. 12), and the recovery price of frying oil P when the acid value of frying oil P is 1.6 will be (x / 16) yen / ml (point X3 shown in FIG. 12). When the acid value of the frying oil P is 1.9, the recovery price of the frying oil P is (x / 19) yen / ml (point X4 shown in FIG. 12), when the acid value of the frying oil P is 2.0, the recovery price of the frying oil P is (x / 20) yen / ml (point X5 shown in FIG. 12), when the acid value of the frying oil P is 2.2, the recovery price of the frying oil P is (x / 22) yen / ml (point X6 shown in FIG. 12), and when the acid value of the frying oil P is 2.6, the recovery price of the frying oil P is (x / 26) yen / ml. With this calculation method, the recovery price of the frying oil P becomes cheaper the greater the degree of deterioration of the frying oil P.

[0093] Therefore, for example, if the measured acid value of the frying oil P acquired by the data acquisition unit 41 is 1.9, the recovery price calculation unit 43 calculates the recovery price of the frying oil P to be (x / 19) yen / ml based on the acid value of 1.9 (corresponding to point X4 shown in Figure 12) in the correlation stored in the memory unit 42.

[0094] Furthermore, for example, if the measured acid value of the frying oil P acquired by the data acquisition unit 41 is 2.2, the recovery price calculation unit 43 calculates the recovery price of the frying oil P to be (x / 22) yen / ml based on the acid value of 2.2 (corresponding to point X6 shown in Figure 12) in the correlation stored in the memory unit 42.

[0095] In addition, the recovery price of frying oil P when the acid value of frying oil P is 0.0, which is x yen / ml, may be a variable price according to the market price in market trading of frying oil P, or it may be a fixed price pre-stored in memory unit 42.

[0096] In addition, the recovery price calculation unit 43 may calculate the recovery price of the frying oil P based on the degree of conversion efficiency of the correlation corresponding to the measurement value of the deterioration index of the frying oil P.

[0097] For example, if the recovery price of frying oil P when the conversion efficiency from frying oil P to biofuel is 100% is y yen / ml (point X0 in FIG. 12), the recovery price of frying oil P when the conversion efficiency is 50% or more and less than 60% is (y / 2) yen / ml (area Y1 shown by dashed line in FIG. 12), the recovery price of frying oil P when the conversion efficiency is 30% or more and less than 50% is (y / 3) yen / ml (area Y2 shown by dashed line in FIG. 12), and the recovery price of frying oil P when the conversion efficiency is 10% or more and less than 30% is (y / 4) yen / ml (area Y3 shown by dashed line in FIG. 12). In this calculation method, the recovery price of frying oil P becomes cheaper as the conversion efficiency from frying oil P to biofuel becomes lower.

[0098] Therefore, for example, if the measured acid value of the frying oil P acquired by the data acquisition unit 41 is 1.9, this corresponds to a conversion efficiency of 45% (point X4 shown in Figure 12) in the correlation stored in the memory unit 42, and therefore the recovery price calculation unit 43 calculates the recovery price of the frying oil P to be (y / 3) yen / ml based on a conversion efficiency of 30% or more and less than 50% (region Y2 shown in Figure 12).

[0099] Furthermore, for example, if the measured acid value of the frying oil P acquired by the data acquisition unit 41 is 2.2, this corresponds to a conversion efficiency of 28% (point X6 shown in Figure 12) in the correlation stored in the memory unit 42, and therefore the recovery price calculation unit 43 calculates the recovery price of the frying oil P to be (y / 4) yen / ml based on a conversion efficiency of 10% or more but less than 30% (region Y3 shown in Figure 12).

[0100] In addition, the recovery price of frying oil P when the conversion efficiency of frying oil P to biofuel is 100% may be a variable price according to the market price of frying oil P in market trading, or a fixed price pre-stored in memory unit 42, just like the recovery price of frying oil P of x yen / ml when the acid value of frying oil P is 0.0.

[0101] As described above, the recovery price calculation unit 43 may calculate the recovery price of the frying oil P based on the magnitude of the deterioration index corresponding to the measured value indicated in the correlation stored in the memory unit 42, or may calculate the recovery price of the frying oil P based on the level of conversion efficiency corresponding to the measured value indicated in the correlation stored in the memory unit 42.

[0102] Furthermore, the recovery price of frying oil P does not necessarily have to fluctuate continuously (an example calculated based on the magnitude of the deterioration index), but may also fluctuate in stages (an example calculated based on the degree of conversion efficiency).

[0103] The method of calculating the recovery price of the frying oil P in the recovery price calculation unit 43 can be changed as appropriate by changing the settings of the cloud server 4.

[0104] The price setting output unit 44 sets the recovery price of the frying oil P calculated by the recovery price calculation unit 43 as the price of the frying oil P and outputs it to the mobile terminal 3.

[0105] (Processing executed in cloud server 4) Next, the flow of processing executed within cloud server 4 will be described with reference to FIG.

[0106] FIG. 13 is a flowchart showing the flow of the processing executed by the cloud server 4.

[0107] In the cloud server 4, first, the data acquisition unit 41 acquires the measurement value of the deterioration index of the frying oil P measured by the measurement sensor 2 in the measurement step (step S401; data acquisition step).

[0108] Next, the recovery price calculation unit 43 calculates the recovery price of the frying oil P based on the measurement value of the deterioration index of the frying oil P obtained in step S401 and the correlation stored in the memory unit 42 (step S402; recovery price calculation step).

[0109] Then, the price setting output unit 44 sets the recovery price of the frying oil P calculated in step S402 as the price of the frying oil P and outputs it to the mobile terminal 3 (step S403; price setting output step), and the processing in the cloud server 4 ends.

[0110] In this way, the cloud server 4 sets the collection price of the frying oil P using the correlation between the deterioration index, which is an indicator of the degree of deterioration of the frying oil P that progresses over time, and the conversion efficiency of the frying oil P to biomass resources, so that the collection price of the frying oil P set by the cloud server 4 is an appropriate price that reflects the magnitude of the recycling value of the frying oil P into a biomass resource.

[0111] (An example of a business model) Next, an example of a business model that can be realized using the cloud server 4 will be described with reference to FIG.

[0112] FIG. 14 is a diagram showing an example of a business model that can be realized using the cloud server 4. As shown in FIG.

[0113] Company α1 shown in Fig. 14 is an oil and fat sales company, and in this embodiment, is an oil and fat manufacturer that sells new frying oil P. Company β shown in Fig. 14 is an oil and fat using company, and in this embodiment, is a convenience store, supermarket, restaurant, or other store that uses frying oil P. Company α1 sells new oil to company β (solid rightward arrow shown in Fig. 14), and company β purchases new oil from company α1 (dashed leftward arrow shown in Fig. 14).

[0114] 14 is a waste oil recovery business, and in this embodiment, is a business that purchases used, deteriorated frying oil P. Company γ is a company that produces biomass resources, and in this embodiment, is a fuel manufacturer that refines biofuels (BDF and SAF) from the frying oil P.

[0115] Company β provides company α2 with the waste frying oil P that it has used and turned into waste oil (the dashed left arrow in Figure 14), and company α2 purchases the waste oil provided by company β at the collection price set by cloud server 4 (the dotted right arrow in Figure 14).

[0116] Then, company α2 sells the waste oil it purchased from company β to company γ (the downward arrow of the dotted line shown in Figure 14), and company γ purchases the waste oil from company α2 (the upward arrow of the dotted line shown in Figure 14).

[0117] In this type of business model, by applying the oil and fat pricing system 1 to the waste oil transactions between Company α2 and Company β, Company β can conduct fair transactions with Company α2 that are commensurate with the waste oil transactions between Company α2 and Company γ.

[0118] In addition, in Fig. 14, α1 company and α2 company are shown as separate companies, but this is not limited thereto, and α1 company and α2 company may be the same company. In this case, α1 company, an oil manufacturer, will sell new oil to β company and buy used oil.

[0119] (Other correlation examples) Next, another example of the correlation between the deterioration index of the frying oil P and the conversion efficiency from the frying oil P to biofuel will be described with reference to FIG.

[0120] FIG. 15 is a diagram illustrating another example of the correlation between the deterioration index of the frying oil P and the conversion efficiency from the frying oil P to biofuel.

[0121] In Figures 2 to 9, the correlation between the deterioration index of frying oil P and the conversion efficiency from frying oil P to biofuel is shown by a correlation equation (a proportional equation between one type of deterioration index and the conversion efficiency) in which the conversion efficiency is expressed as a polynomial of one type of deterioration index, but this is not limited to this, and for example, the correlation may be shown by a correlation equation in which the conversion efficiency is expressed as a polynomial of multiple types of deterioration indexes.

[0122] As shown in Figure 15, the correlation equation in which the conversion efficiency is expressed as a polynomial of the acid value of frying oil P and the correlation equation in which the conversion efficiency is expressed as a polynomial of the amount of polar compounds contained in frying oil P have a coefficient of determination R, which is equivalent to the square of the correlation coefficient R. 2 is 0.75, and the correlation equation expressing the conversion efficiency as a polynomial of the color of frying oil P has a coefficient of determination R 2 was 0.81, and the correlation equation expressing the conversion efficiency as a polynomial of the phosphorus content of frying oil P had a coefficient of determination R 2 is 0.02, and the correlation equation expressing the conversion efficiency in terms of the sodium content of frying oil P has a coefficient of determination R 2 becomes 0.17.

[0123] Here, if the conversion efficiency is CE, the acid value of frying oil P is AV, the color of frying oil P is COLOR, the amount of polar compounds contained in frying oil P is PC, the phosphorus content of frying oil P is P, the sodium content of frying oil P is Na, the coefficient of AV is α, the coefficient of COLOR is β, the coefficient of PC is γ, the coefficient of P is δ, the coefficient of Na is ε, and the constant is ζ, then the correlation equation expressing the conversion efficiency as a polynomial of the acid value of frying oil P is shown in the following equation (1). CE = α × (AV) + ζ (1)

[0124] The correlation equation expressing the conversion efficiency as a polynomial of the color of frying oil P is given by the following equation (2). CE = β × (COLOR) + ζ (2)

[0125] The correlation equation expressing the conversion efficiency as a polynomial of the color of frying oil P is given by the following equation (3). CE = γ × (PC) + ζ (3)

[0126] The correlation equation expressing the conversion efficiency as a polynomial of the phosphorus content of frying oil P is shown in the following equation (4). CE = δ × (P) + ζ (4)

[0127] The correlation equation expressing the conversion efficiency as a polynomial of the sodium content of frying oil P is shown in the following equation (5). CE = ε × (Na) + ζ (5)

[0128] In contrast to these correlation equations, the correlation equation expressing the conversion efficiency as a polynomial of the acid value of frying oil P and the amount of polar compounds contained in frying oil P has a coefficient of determination R 2 is 0.77, and the correlation equation expressing the conversion efficiency as a polynomial for the acid value of frying oil P and the color of frying oil P has a coefficient of determination R 2 was 0.81, and the correlation equation expressing the conversion efficiency as a polynomial of the amount of polar compounds contained in frying oil P and the color of frying oil P had a coefficient of determination R 2 becomes 0.84.

[0129] The correlation equation expressing the conversion efficiency as a polynomial of the acid value of frying oil P and the amount of polar compounds contained in frying oil P is given by the following equation (6). CE=α×(AV)+γ×(PC)+ζ···(6)

[0130] The correlation equation expressing the conversion efficiency as a polynomial of the acid value of frying oil P and the color of frying oil P is given by the following equation (7). CE=α×(AV)+β×(COLOR)+ζ···(7)

[0131] The correlation equation expressing the conversion efficiency as a polynomial of the amount of polar compounds contained in frying oil P and the color of frying oil P is given by the following equation (8). CE=β×(COLOR)+γ×(PC)+ζ···(8)

[0132] In this way, the correlation equation expressed as a polynomial combining two of the deterioration indicators of frying oil P, namely, acid value, amount of polar compounds, and color, which have a high correlation with the conversion efficiency of frying oil P to biofuel, has a coefficient of determination R 2 The coefficient of determination R in the correlation equation that expresses the conversion efficiency as a polynomial of one type of degradation index 2 (See "Increment from Type 1" in Figure 15.)

[0133] Therefore, the recovery price calculation unit 43 can more accurately calculate the recovery price of the frying oil P by using a correlation equation expressed as a polynomial that combines two types of the acid value, amount of polar compounds, and color of the frying oil P.

[0134] In addition, the correlation equation, which expresses the conversion efficiency as a polynomial of the acid value, polar compound amount, and color, which are the deterioration indicators of frying oil P that have a high correlation with the conversion efficiency from frying oil P to biofuel, has a coefficient of determination R 2 becomes 0.91.

[0135] The correlation equation expressing the conversion efficiency as a polynomial of the acid value, amount of polar compounds, and color of the frying oil P is given by the following equation (9). CE=α×(AV)+β×(COLOR)+γ×(PC)+ζ...(9)

[0136] In this way, the correlation equation expressed as a polynomial combining the three types of deterioration indicators of frying oil P that have a high correlation with the conversion efficiency of frying oil P to biofuel, namely, acid value, amount of polar compounds, and color, has a coefficient of determination R 2 The coefficient of determination R in the correlation equation expressing the conversion efficiency as a polynomial of two types of degradation indexes 2 (See "Increment from Type 1" in Figure 15.)

[0137] Therefore, by using a correlation equation expressed as a polynomial combining the three types of the acid value, amount of polar compounds, and color of the frying oil P, the recovery price calculation unit 43 is able to calculate the recovery price of the frying oil P more accurately than when using a correlation equation expressed as a polynomial combining two types of the acid value, amount of polar compounds, and color of the frying oil P.

[0138] Furthermore, the coefficient of determination R 2 becomes 0.92.

[0139] The correlation equation expressing the conversion efficiency as a polynomial of the acid value, polar compound amount, color, and phosphorus content of the frying oil P is given by the following equation (10). CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ζ...(10)

[0140] The correlation equation expressing the conversion efficiency as a polynomial of the acid value, amount of polar compounds, color, and sodium content of frying oil P is given by the following equation (11). CE=α×(AV)+β×(COLOR)+γ×(PC)+ε×(Na)+ζ...(11)

[0141] The correlation equation expressing the conversion efficiency as a polynomial of the acid value, polar compound amount, color, phosphorus content, and sodium content of frying oil P is given by the following equation (12). CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ...(12)

[0142] In this way, the coefficient of determination R was calculated using a polynomial that combines four indicators of deterioration of frying oil P, namely, acid value, amount of polar compounds, and color, which are highly correlated with the conversion efficiency of frying oil P to biofuel, plus the metal content (phosphorus or sodium), and a polynomial that combines five indicators of deterioration of frying oil P, namely, acid value, amount of polar compounds, and color, which are highly correlated with the conversion efficiency of frying oil P to biofuel, plus the phosphorus content and sodium content. 2 The coefficient of determination R in the correlation equation expressing the conversion efficiency as a polynomial of three types of degradation indexes 2 (See "Increment from Type 1" in Figure 15.)

[0143] Therefore, when the recovery price calculation unit 43 uses a correlation equation expressed as a polynomial that combines one or two types of metal content in addition to the three types of acid value, amount of polar compounds, and color, which have a high correlation with the conversion efficiency of frying oil P to biofuel, it is possible to more accurately calculate the recovery price of frying oil P than when using a correlation equation expressed as a polynomial that combines the three types of acid value, amount of polar compounds, and color of frying oil P.

[0144] [Second embodiment] Next, an oil and fat price setting system 1 according to a second embodiment of the present invention will be described with reference to Figures 16 to 19. In the following, components common to those described for the oil and fat price setting system 1 according to the first embodiment will be given the same reference numerals and descriptions thereof will be omitted.

[0145] FIG. 16 is a functional block diagram showing functions of a cloud server 4A according to the second embodiment of the present invention.

[0146] The cloud server 4A according to this embodiment includes a supply price calculation unit 45 in addition to a data acquisition unit 41, a storage unit 42, a collection price calculation unit 43, and a price setting output unit 44A.

[0147] The supply price calculation unit 45 calculates the supply price of the frying oil P when it is supplied as new oil, based on the recovery price of the frying oil P calculated by the recovery price calculation unit 43.

[0148] In this embodiment, the price setting output unit 44A sets the offer price of frying oil P calculated by the offer price calculation unit 45 as the price of frying oil P instead of the recovery price of frying oil P calculated by the recovery price calculation unit 43, and outputs it to the mobile terminal 3.

[0149] In addition, the price setting output unit 44A may set the offering price of frying oil P calculated by the offering price calculation unit 45 as the price of frying oil P, together with the recovery price of frying oil P calculated by the recovery price calculation unit 43, and output it to the mobile terminal 3.

[0150] Therefore, after the above-mentioned data acquisition process and collection price calculation process, the cloud server 4A according to this embodiment executes a supply price calculation process to calculate the supply price of the frying oil P based on the calculated collection price of the frying oil P. In addition, the cloud server 4A executes a process to set the calculated supply price of the frying oil P as the price of the frying oil P and output it to the mobile terminal 3 as a price setting output process.

[0151] FIG. 17 is a flowchart showing the flow of processing executed by the cloud server 4A according to the second embodiment.

[0152] In the cloud server 4A of this embodiment, when proceeding from step S401 to step S402, the supply price calculation unit 45 calculates the supply price of the frying oil P based on the recovery price of the frying oil P calculated in step S402 (step S404; supply price calculation step).

[0153] Then, the price setting output unit 44A sets the recovery price of the frying oil P calculated in step S404 as the price of the frying oil P and outputs it to the mobile terminal 3 (step S405), and the processing in the cloud server 4A ends.

[0154] In this way, the cloud server 4A in this embodiment calculates the offering price based on the recovery price of the frying oil P, so that the offering price of the frying oil P set by the cloud server 4A is an appropriate price that reflects the magnitude of the recycling value of the frying oil P into a biomass resource, just like the recovery price.

[0155] Next, an example of a business model that can be realized using the cloud server 4A will be described with reference to FIGS.

[0156] Fig. 18 is a diagram showing an example of a business model that can be realized using the cloud server 4A according to the second embodiment. Fig. 19 is a diagram showing another example of a business model that can be realized using the cloud server 4A according to the second embodiment.

[0157] Company α3 shown in Fig. 18 is an oil and fat sales company that sells new oil to Company β (solid right-pointing arrow in Fig. 18) and also collects frying oil P that has been used and turned into waste oil by Company β (solid right-pointing arrow in Fig. 18). Therefore, Company β purchases new oil from Company α3 (dashed left-pointing arrow in Fig. 18) and returns used waste oil to Company α3 (dashed left-pointing arrow in Fig. 18).

[0158] Then, company α3 sells the waste oil collected from company β to company γ (solid downward arrow shown in Figure 18), and company γ purchases the waste oil from company α3 (upward arrow with two dots and dashes shown in Figure 18).

[0159] 18, in exchange for purchasing the waste oil provided by company β, company α3 sells the next new oil at a discounted price obtained by subtracting the purchase price of the waste oil from the regular selling price. This discounted price of the new oil corresponds to the offering price of the frying oil P and is set by the cloud server 4A.

[0160] Company α4 shown in Fig. 19 is an oil leasing company that leases oils and fats, and lends new frying oil P to company β (solid right-pointing arrow in Fig. 19). When company β uses the new oil lent by company α4 and it becomes waste oil, it returns the waste frying oil P to company α4 (solid left-pointing arrow in Fig. 19).

[0161] Then, company α4 sells the waste oil collected from company β to company γ (solid downward arrow shown in Figure 19), and company γ purchases the waste oil from company α4 (upward arrow with two dots and dashes shown in Figure 19).

[0162] In the business model shown in FIG. 19, company α4 operates in the form of leasing oils and fats, and the lease fee for the frying oil P to company β corresponds to the supply price of the frying oil P set by the cloud server 4A.

[0163] Each embodiment of the present invention has been described above. Note that the present invention is not limited to each of the above-mentioned embodiments, and various modified examples are included. For example, each of the above-mentioned embodiments has been described in detail to clearly explain the present invention, and is not necessarily limited to those having all of the configurations described. In addition, it is possible to replace a part of the configuration of each embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of each embodiment. Furthermore, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

[0164] For example, in each of the above embodiments, the oil and fat is described as frying oil P, but the oil and fat to which the present invention is applied does not necessarily have to be edible oil used for deep-frying cooking, and may be edible oil used for other cooking methods or other oils and fats (industrial oils, etc.). [Explanation of symbols]

[0165] 1: Oil and fat pricing system 2: Measurement sensor (measuring device) 4, 4A: Cloud server (oil price setting device) 41: Data acquisition section 42: Storage part 43: Recovery price calculation section 44, 44A: Price setting output section 45: Price calculation section P: Frying oil (oil and fat)

Claims

1. An oil and fat price setting device for setting the price of oil and fat, A memory unit that stores a correlation between a deterioration index, which is an index indicating the deterioration degree of the oil and fat, and a conversion efficiency from the oil and fat to the biomass resource when the oil and fat are recycled as a biomass resource; A data acquisition unit that acquires a measurement value of the deterioration index; A recovery price calculation unit that calculates a recovery price of the grease when recovered as waste oil based on the measurement value acquired by the data acquisition unit and the correlation stored in the storage unit; A price setting and output unit that sets and outputs the price of the oil and fat based on the recovery price calculated by the recovery price calculation unit; Includes An oil and fat price setting device.

2. The oil and fat price setting device according to claim 1, The recovery price calculation unit Calculating the recovery price based on the magnitude of the deterioration index corresponding to the measurement value shown in the correlation; The recovery price is The greater the degree of deterioration, the cheaper it becomes. An oil and fat price setting device.

3. The oil and fat price setting device according to claim 1, The recovery price calculation unit Calculating the recovery price based on the degree of the conversion efficiency corresponding to the measured value shown in the correlation; The recovery price is The lower the conversion efficiency, the cheaper it is. An oil and fat price setting device.

4. The oil and fat price setting device according to claim 1, The correlation is The deterioration index and the conversion efficiency are expressed as a proportional equation, and the greater the degree of deterioration, the lower the conversion efficiency. An oil and fat price setting device.

5. The oil and fat price setting device according to claim 1, The deterioration indicator is The acid value of the oil or fat, the color of the oil or fat, or the amount of polar compounds contained in the oil or fat. An oil and fat price setting device.

6. The oil and fat price setting device according to claim 1, The correlation is is a correlation equation in which the conversion efficiency is expressed by a polynomial of the deterioration index. An oil and fat price setting device.

7. The oil and fat price setting device according to claim 6, The deterioration indicators include: The oil and fat include an acid value of the oil and fat, a color of the oil and fat, an amount of polar compounds contained in the oil and fat, and an amount of metals contained in the oil and fat, The correlation equation is: The conversion efficiency is CE, The acid value is AV, The color is COLOR, The amount of the polar compound is PC, The metallic amount of phosphorus is P, If the amount of sodium as the metal is Na, It is expressed by the following formula: An oil and fat price setting device. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: PC coefficient δ: coefficient of P ε: Na coefficient ζ: constant

8. The oil and fat price setting device according to claim 1, Further comprising a supply price calculation unit that calculates a supply price of the oil and fat when it is supplied as new oil based on the recovery price calculated by the recovery price calculation unit, The price setting output unit is The supply price calculated by the supply price calculation unit is set as the price of the oil and fat in place of the recovery price calculated by the recovery price calculation unit, or the supply price calculated by the supply price calculation unit is set together with the recovery price calculated by the recovery price calculation unit and output. An oil and fat price setting device.

9. An oil and fat pricing system for setting a price for oil and fat, comprising: A measuring device for measuring a deterioration index which is an index indicating the degree of deterioration of the oil and fat; An oil and fat price setting device that sets the price of the oil and fat based on the measurement value measured by the measurement device; An alarm device that alarms the price of the oil and fat set by the oil and fat price setting device, The oil and fat price setting device is A correlation between the deterioration index of the oil and the conversion efficiency of the oil to the biomass resource in the case of recycling the oil as a biomass resource is stored, Acquire the measurement value measured by the measurement device; Calculating a recovery price of the oil and fat when recovered as waste oil based on the acquired measurement value and the stored correlation; A price of the oil and fat is set based on the calculated recovery price, and output to the notification device. An oil and fat pricing system.

10. 10. The oil and fat pricing system according to claim 9, The oil and fat price setting device is Calculating the recovery price based on the magnitude of the deterioration index corresponding to the measured value shown in the stored correlation; The recovery price is The greater the degree of deterioration, the cheaper it becomes. An oil and fat pricing system.

11. 10. The oil and fat pricing system according to claim 9, The oil and fat price setting device is Calculating the recovery price based on the magnitude of the conversion efficiency corresponding to the measured value shown in the stored correlation; The recovery price is The lower the conversion efficiency, the cheaper it is. An oil and fat pricing system.

12. 10. The oil and fat pricing system according to claim 9, The correlation is The deterioration index and the conversion efficiency are expressed as a proportional equation, and the greater the degree of deterioration, the lower the conversion efficiency. An oil and fat pricing system.

13. 10. The oil and fat pricing system according to claim 9, The deterioration indicator is The acid value of the oil or fat, the color of the oil or fat, or the amount of polar compounds contained in the oil or fat. An oil and fat pricing system.

14. 10. The oil and fat pricing system according to claim 9, The correlation is is a correlation equation in which the conversion efficiency is expressed by a polynomial of the deterioration index. An oil and fat pricing system.

15. 15. The oil and fat pricing system of claim 14, The deterioration indicators include: The oil and fat include an acid value of the oil and fat, a color of the oil and fat, an amount of polar compounds contained in the oil and fat, and an amount of metals contained in the oil and fat, The correlation equation is: The conversion efficiency is CE, The acid value is AV, The color is COLOR, The amount of the polar compound is PC, The metallic amount of phosphorus is P, If the amount of sodium as the metal is Na, It is expressed by the following formula: An oil and fat pricing system. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: PC coefficient δ: coefficient of P ε: Na coefficient ζ: constant

16. 10. The oil and fat pricing system according to claim 9, The oil and fat price setting device is Calculate the price at which the oil and fat will be offered as new oil based on the calculated recovery price; The calculated supply price is set as a price of the grease in place of the calculated recovery price, or together with the calculated recovery price, and output to the notification device. An oil and fat pricing system.

17. A method for setting a price for oil and fat, comprising: A measuring device for measuring a deterioration index which is an index indicating the degree of deterioration of the oil and fat; An oil and fat price setting device that sets the price of the oil and fat based on the measurement value measured by the measurement device, A measurement step in which the measurement device measures the deterioration indicator of the oil and fat; A data acquisition step in which the oil and fat price setting device acquires the measurement values ​​measured in the measurement step; A recovery price calculation step in which the fat and oil price setting device calculates the recovery price of the fat and oil when it is recovered as waste oil based on the measurement value acquired in the data acquisition step, the deterioration index of the fat and oil, and a correlation between the conversion efficiency of the fat and oil to the biomass resource when the fat and oil are recycled as a biomass resource; The oil and fat price setting device includes a price setting and output step of setting and outputting a price of the oil and fat based on the recovery price calculated in the recovery price calculation step. A method for setting oil and fat prices.

18. The method for setting oil and fat prices according to claim 17, In the recovery price calculation step, The grease price setting device calculates the recovery price based on the magnitude of the deterioration index corresponding to the measurement value shown in the correlation, The recovery price is The greater the degree of deterioration, the cheaper it becomes. A method for setting oil and fat prices.

19. The method for setting oil and fat prices according to claim 17, In the recovery price calculation step, The grease price setting device calculates the recovery price based on the degree of the conversion efficiency corresponding to the measured value shown in the correlation, The recovery price is The lower the conversion efficiency, the cheaper it is. A method for setting oil and fat prices.

20. The method for setting oil and fat prices according to claim 17, The correlation is The deterioration index and the conversion efficiency are expressed as a proportional equation, and the greater the degree of deterioration, the lower the conversion efficiency. A method for setting oil and fat prices.

21. The method for setting oil and fat prices according to claim 17, The deterioration indicator is The acid value of the oil or fat, the color of the oil or fat, or the amount of polar compounds contained in the oil or fat. A method for setting oil and fat prices.

22. The method for setting oil and fat prices according to claim 17, The correlation is is a correlation equation in which the conversion efficiency is expressed by a polynomial of the deterioration index. A method for setting oil and fat prices.

23. 23. The method for setting oil and fat prices according to claim 22, The deterioration indicators include: The oil and fat include an acid value of the oil and fat, a color of the oil and fat, an amount of polar compounds contained in the oil and fat, and an amount of metals contained in the oil and fat, The correlation equation is: The conversion efficiency is CE, The acid value is AV, The color is COLOR, The amount of the polar compound is PC, The metallic amount of phosphorus is P, If the amount of sodium as the metal is Na, It is expressed by the following formula: A method for setting oil and fat prices. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: PC coefficient δ: coefficient of P ε: Na coefficient ζ: constant

24. The method for setting oil and fat prices according to claim 17, The oil and fat price setting device further includes a supply price calculation step of calculating the supply price of the oil and fat when it is provided as new oil based on the recovery price calculated in the recovery price calculation step, In the price setting output step, The oil and fat price setting device sets and outputs the offering price calculated in the offering price calculation step instead of the recovery price calculated in the recovery price calculation step, or sets and outputs the offering price calculated in the offering price calculation step together with the recovery price calculated in the recovery price calculation step as the price of the oil and fat. A method for setting oil and fat prices.

25. 1. An oil and fat pricing program for setting a price for oil and fat, comprising: A data acquisition process for acquiring a measurement value of a deterioration index which is an index indicating the degree of deterioration of the oil and fat; A recovery price calculation process for calculating a recovery price of the oil and fat when it is recovered as waste oil based on the measurement value acquired by the data acquisition process, the deterioration index of the oil and fat, and a correlation between the conversion efficiency of the oil and fat into the biomass resource when the oil and fat are recycled as a biomass resource; a price setting and output process for setting and outputting a price of the oil and fat based on the recovery price calculated by the recovery price calculation process; Have your computer run The oil and fat pricing program.

26. 26. The oil and fat pricing program according to claim 25, The correlation is The deterioration index and the conversion efficiency are expressed as a proportional equation, and the greater the degree of deterioration, the lower the conversion efficiency. The oil and fat pricing program.

27. 26. The oil and fat pricing program according to claim 25, The correlation is is a correlation equation in which the conversion efficiency is expressed by a polynomial of the deterioration index. The oil and fat pricing program.

28. 28. The oil and fat pricing program according to claim 27, The deterioration indicators include: The oil and fat include an acid value of the oil and fat, a color of the oil and fat, an amount of polar compounds contained in the oil and fat, and an amount of metals contained in the oil and fat, The correlation equation is: The conversion efficiency is CE, The acid value is AV, The color is COLOR, The amount of the polar compound is PC, The metallic amount of phosphorus is P, If the amount of sodium as the metal is Na, It is expressed by the following formula: The oil and fat pricing program. CE=α×(AV)+β×(COLOR)+γ×(PC)+δ×(P)+ε×(Na)+ζ α: AV coefficient β: COLOR coefficient γ: PC coefficient δ: coefficient of P ε: Na coefficient ζ: constant

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