CN111553615A - Intelligent management system and management method for agriculture and forestry biomass storage yard - Google Patents

Intelligent management system and management method for agriculture and forestry biomass storage yard Download PDF

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CN111553615A
CN111553615A CN202010402228.9A CN202010402228A CN111553615A CN 111553615 A CN111553615 A CN 111553615A CN 202010402228 A CN202010402228 A CN 202010402228A CN 111553615 A CN111553615 A CN 111553615A
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fuel
value
stack
grade
stacking
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CN111553615B (en
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李慧
程东海
颜文平
姚启良
黄兵
李振华
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Hunan Modern Environment Technology Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/22—Fuels, explosives
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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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    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
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    • G06Q—INFORMATION 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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    • Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy

Abstract

The invention discloses an intelligent management system and a management method for an agricultural and forestry biomass storage yard, wherein the intelligent management system for the agricultural and forestry biomass storage yard grades fuel according to the actual attribute of the fuel so as to correctly define the quality degree of the fuel and obtain a correct processing instruction corresponding to the quality degree. The storage work efficiency of fuel can be improved, the frequency of fuel conditions in the manual inspection warehouse can be reduced, the stair utilization can be realized conveniently according to demands and fuel values, and the storage device has the advantages of simplicity, practicality, scientific intelligence, labor saving, convenience and high efficiency. The management method using the system for management also has the advantages.

Description

Intelligent management system and management method for agriculture and forestry biomass storage yard
Technical Field
The invention relates to the technical field of biomass fuel power generation, in particular to an intelligent management system and a management method for an agriculture and forestry biomass storage yard.
Background
The application range of the agriculture and forestry biomass is wider and wider, the storage cost of the agriculture and forestry biomass is crucial to the utilization of the agriculture and forestry biomass due to the intrinsic particularity of the agriculture and forestry biomass resources, namely the seasonality and the dispersity, and in order to save the cost and increase the storage efficiency, various governments, agriculture and forestry biomass users, agriculture and forestry biomass power plant fuel brokers and the like are provided with agriculture and forestry biomass material yards in resource-rich areas. However, most stockyards lack of professional management, and fuel or frequent transportation leads to rising storage cost; or the fuel is careless for management, and the fuel stacking time is too long, so that the fuel is seriously lost and even spontaneously combusted; or a plurality of fuels with larger quality difference are mixed and then subjected to extensive disposal, and the agriculture and forestry biomass resources cannot be utilized with high value. In addition, the fuel information of the current agriculture and forestry biomass stock ground mostly exists in the form of a fuel standing book, real-time information sharing is not formed, the stock ground and a demand side lack a direct docking platform, and the stock ground and the demand side cannot be effectively communicated.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a simple, practical, scientific and intelligent agriculture and forestry biomass storage yard intelligent management system which saves manpower, is convenient and efficient, and a management method for managing by using the system.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
an intelligent management system for an agriculture and forestry biomass storage yard, comprising:
an identification unit: the system is used for identifying the type of the fuel and sending the fuel to a factory management unit;
a detection unit: for detecting moisture M of fuelMeasuringImpurity AMeasuringAnd sending the data to a factory-entering management unit;
management of entering factoryA unit: the plant management unit sends M according to the type of fuelMeasuringAnd AMeasuringRespectively with the agreed moisture M of the fuel in the preset fuel comprehensive informationConferenceAnd the impurity AConferenceAnd comparing, judging the grade of the fuel according to the comparison result, and sending a processing instruction according to the grade of the fuel.
As a further improvement of the intelligent management system of the agriculture and forestry biomass storage yard:
the grade of the fuel comprises a rejection acceptance grade, a pretreatment grade, a satisfaction requirement grade and a high value judgment grade; the factory entry management unit comprises a grade coefficient operation module, a grade judgment module and an instruction output module, wherein the grade coefficient operation module obtains a grade coefficient C through the following processing, and sends the grade coefficient C to the grade judgment module:
Figure BDA0002489935180000011
wherein: a is a weight coefficient of the moisture grade, and the value of a is 0-10; b is a weight coefficient of the impurity grade, the value is 0-10, and a + b is 10;
the grade judgment module judges that when C is larger than or equal to D, the fuel belongs to a rejection grade, and the instruction output module sends a fuel return instruction and gives an alarm;
when B is less than or equal to C and less than D, the fuel belongs to a pretreatment stage, and the instruction output module sends out a fuel pretreatment instruction;
when A is less than or equal to C and less than B, the fuel meets the requirement level, and the instruction output module sends out a fuel stacking instruction;
when C is less than A, the fuel belongs to a high value judgment stage, and the instruction output module sends out a high value judgment instruction;
a, B, D is a fuel grade limit value in the preset fuel comprehensive information, and A is more than B and less than D.
The in-plant management unit further comprises a high value judgment module, and after the instruction output module sends out a high value judgment instruction, the high value judgment module obtains a high value coefficient H through the following processing:
Figure BDA0002489935180000021
wherein: FCRelative to each otherFor the relatively fixed carbon content of this fuel, ARelative to each otherRelative impurity content for this fuel:
Figure BDA0002489935180000022
Figure BDA0002489935180000023
ξ is the influence coefficient of impurity, and its value is 0.5-1.5, FCDian (Chinese character)Typical fixed carbon content of the fuel in the fuel comprehensive information;
the high value judgment module sends the high value coefficient H to the grade judgment module, the grade judgment module judges that when E is less than or equal to H, the high value judgment is passed, and the instruction output module sends out a high-price fuel storage instruction; when H is less than E, the high value judgment fails, and the instruction output module sends out a fuel stacking instruction;
wherein E is a fuel grade limit value in the preset fuel comprehensive information.
The system further comprises a pricing unit, said identification unit identifying the type of fuel to be identified and the moisture M of the fuel to be detected by the detection unitMeasuringImpurity AMeasuringAnd also to a pricing unit; the pricing unit will MMeasuringAnd AMeasuringRespectively with the agreed moisture M of the fuel in the preset fuel comprehensive informationConferenceAnd the impurity AConferenceComparing and negotiating the moisture M based on the comparison resultConferenceAnd the impurity AConferenceLower the agreed price P of the fuelConferenceObtaining purchase pricing P of the fuel through processing1。
The pricing unit realizes pricing through the following acquisition pricing modules:
when | MConference-MMeasuringLess than or equal to N and AConference-AMeasuringWhen | < L, purchase price P1＝PConferenceN, L are fuel instruments in the preset fuel general information respectivelyDetermining deviation range limits of moisture and predetermined impurities; when M isMeasuringAnd AMeasuringAnd MConferenceAnd AConferenceWhen the comparison is other cases, the purchase pricing P is obtained by the following processing1：
Figure BDA0002489935180000031
Wherein: mu is a correction coefficient and takes a value of 0.1-2.
The pricing unit includes pricing P according to purchase of each fuel1Post-processing to obtain a public pricing P for fuel stacks2The public pricing module obtains the public pricing P of the fuel stacks through the following processing2：
Figure BDA0002489935180000032
Wherein: lambda is a correction coefficient and takes a value of 0.2-1.0; n is the number of types of fuel constituting the fuel stack, P1iPricing for each fuel purchase ηiThe proportion of each fuel constituting the fuel stack, n being the number of types of fuel constituting the fuel stack; pIncrease iAnd taking values of 1-1000 for the set price increment of each fuel.
The system further includes a stack management unit and a transaction matching unit, the identification unit identifies the type of the fuel and the detection unit detects the moisture M of the fuelMeasuringImpurity AMeasuringThe data is also sent to a stacking management unit;
the stacking management unit comprises a heat value calculation module and a stacking state detection module, wherein the heat value calculation module is used for calculating the types and the moisture M of all fuels in the fuel stackMeasuringAnd impurity AMeasuringAnd typical moisture M of the fuel in preset fuel comprehensive informationDian (Chinese character)Typical impurity ADian (Chinese character)And typical calorific value QDian (Chinese character)Processed to obtain the calorific value Q of the fuel stackStackAnd sending to a transaction matching unit; the stacking state detection module detects the stacking temperature and the stacking time length of the fuel stack and sends the stacking temperature and the stacking time length to the stackAn easy matching unit.
The heat value calculation module obtains a heat value Q of the fuel stack through the following algorithmStack：
Figure BDA0002489935180000033
Figure BDA0002489935180000034
Wherein: taking the value of the correction coefficient as 0.5-1.5; qiCalculating the calorific value for each fuel, ηiN is the proportion of each fuel constituting the fuel stack, and n is the number of types of fuel constituting the fuel stack.
The transaction matching unit is used for matching the heat value Q according to the purchasing demandNeed toHeat value Q of fuel stackStackThe difference value of the total utilization priority of the fuel stacks, the stacking time length of the fuel stacks and the stacking temperature are processed by a stacking utilization priority calculation module to obtain the utilization priority of each fuel stack, the fuel stacks are sequentially utilized for transaction matching from high to low according to the utilization priority, and the stacking utilization priority calculation module obtains the utilization priority F of each stack through the following algorithmi：
Grading the stacking temperature, and configuring different weight fractions u in different intervals; grading stacking time length, and configuring different weight distributions v in different intervals; stacking calorific value QStackAnd purchase demand calorific value QNeed toThe difference value of (2) is graded, and different weight fractions w are configured in different intervals;
Fi＝αi×ui+βi×vi+γi×wi
wherein: u. ofiThe weight score is corresponding to the temperature interval in which the stacking temperature of the fuel stack is positioned; v. ofiThe weight score is corresponding to the time interval in which the stacking time of the fuel stack is positioned; w is aiHeat value Q of the fuel stackStackAnd purchase demand calorific value QNeed toα corresponding to the difference interval in which the difference value is locatediThe correction coefficients are assigned to the weights for the different temperature intervals,value 0-3, βiWeighting correction coefficients of different stacking time intervals, and taking values of 0-5; gamma rayiAnd taking the value of 0-2 for the weight correction coefficient of different difference intervals.
A management method for managing by using an intelligent management system of an agriculture and forestry biomass storage yard comprises the following steps:
s1: the identification unit identifies the type of the fuel and sends the type of the fuel to the factory entering management unit, the stacking management unit and the pricing unit;
s2: the detection unit detects the moisture M of the fuelMeasuringAnd impurity AMeasuringAnd sending the data to a factory entering management unit, a stacking management unit and a pricing unit;
s3: and (3) managing fuel entering a factory:
s31: the grade coefficient operation module in the factory entry management unit obtains a grade coefficient C through the following processing, and sends the grade coefficient C to the grade judgment module:
Figure BDA0002489935180000041
wherein: a is a weight coefficient of the moisture grade, and the value of a is 0-10; b is a weight coefficient of the impurity grade, the value is 0-10, and a + b is 10;
s32: and a grade judging module in the factory entry management unit judges:
when D is less than or equal to C, the fuel belongs to a rejection level, the instruction output module sends a fuel return instruction, and an alarm is given;
when B is less than or equal to C and less than D, the fuel belongs to a pretreatment stage, and the instruction output module sends out a fuel pretreatment instruction;
when A is less than or equal to C and less than B, the fuel meets the requirement level, and the instruction output module sends out a fuel stacking instruction;
when C is less than A, the fuel belongs to a high value judgment stage, and the instruction output module sends out a high value judgment instruction;
s33: if the fuel belongs to a high value judgment level, a high value judgment module in the plant management unit obtains a high value coefficient H by the following processing:
Figure BDA0002489935180000042
wherein: FCRelative to each otherFor the relatively fixed carbon content of this fuel, ARelative to each otherRelative impurity content for this fuel:
Figure BDA0002489935180000043
Figure BDA0002489935180000044
ξ is the influence coefficient of impurity, and its value is 0.5-1.5, FCDian (Chinese character)The high value judgment module sends a high value coefficient H to the grade judgment module for typical fixed carbon content of the fuel in the fuel comprehensive information, and the grade judgment module judges that when E is less than or equal to H, the high value judgment is passed, and the instruction output module sends a high-price fuel storage instruction; when H is less than E, the high value judgment fails, and the instruction output module sends out a fuel stacking instruction;
a, B, D, E is a fuel grade limit value in the preset fuel comprehensive information, and A is more than B and less than D;
s34: returning, preprocessing or storing the fuel manually according to the instruction sent by the instruction output module;
s4: fuel pricing:
s41: acquisition pricing module in pricing unit determines current | MConference-MMeasuringLess than or equal to N and AConference-AMeasuringWhen | < L, purchase price P1＝PConference(ii) a When M isMeasuringAnd AMeasuringAnd MConferenceAnd AConferenceWhen the comparison is other cases, the purchase pricing P is obtained by the following processing1：
Figure BDA0002489935180000051
Wherein: mu is a correction coefficient, and the value of mu is 0.1-2;
s42: the public pricing module obtains the fuel stack byPublic pricing P of stack2：
Figure BDA0002489935180000052
Wherein: lambda is a correction coefficient and takes a value of 0.2-1.0; n is the number of types of fuel constituting the fuel stack, P1iPricing for each fuel purchase ηiThe proportion of each fuel constituting the fuel stack, n being the number of types of fuel constituting the fuel stack; pIncrease iThe value of each set fuel price increment is 1-1000;
s5: transaction matching:
s51: the stack utilization priority calculation module in the transaction matching unit obtains the utilization priority F of each stack through the following algorithmi：
Grading the stacking temperature, and configuring different weight fractions u in different intervals; grading stacking time length, and configuring different weight distributions v in different intervals; stacking calorific value QStackAnd purchase demand calorific value QNeed toThe difference value of (2) is graded, and different weight fractions w are configured in different intervals;
Fi＝αi×ui+βi×vi+γi×wi
wherein: u. ofiThe weight score is corresponding to the temperature interval in which the stacking temperature of the fuel stack is positioned; v. ofiThe weight score is corresponding to the time interval in which the stacking time of the fuel stack is positioned; w is aiHeat value Q of the fuel stackStackAnd purchase demand calorific value QNeed toα weight score corresponding to the difference interval in which the difference is locatediWeight correction coefficients for different temperature intervals, with a value range of 0-3, βiWeighting correction coefficients of different stacking time intervals are set, and the value range is 0-5; gamma rayiWeighting correction coefficients for different difference intervals, wherein the value range is 0-2;
s52: and (4) sequentially utilizing the fuel stacks to perform transaction matching according to the sequence of the utilization priority from high to low, and completing the fuel transaction.
Compared with the prior art, the invention has the advantages that:
the intelligent management system for the agriculture and forestry biomass storage yard obtains the actual moisture M of various fuels through detectionMeasuringAnd the actual impurity AMeasuringWill MMeasuringAnd AMeasuringRespectively with the agreed moisture M of the fuel in the preset fuel comprehensive informationConferenceAnd the impurity AConferenceAnd comparing, and judging the grade of the fuel according to the comparison result so as to correctly define the quality degree of the fuel, thereby obtaining a correct processing instruction corresponding to the quality degree. For example, the method can be used for returning the fuel with high water content and high impurity content, airing the fuel with high water content, storing the high-value fuel separately, and the like. The problems that the storage cost is increased and the like caused by transferring treatment according to conditions after subsequent storage are solved, the storage working efficiency of the fuel is improved, the frequency of manually checking the fuel condition in the storage can be reduced, and the gradient utilization can be conveniently realized according to the requirements and the fuel value.
Furthermore, the agriculture and forestry biomass storage yard intelligent management system also provides a pricing unit for automatic pricing and a transaction matching unit for automatic matching. The pricing unit carries out pricing according to the actual conditions of materials, and the mode of pricing fuel quality replaces the mode of unified pricing by the original fuel with the same type but different qualities, so that the fuel pricing is more precise and reasonable, the fuel pricing is more economical and applicable, and the management of agriculture and forestry biomass fuel is facilitated. The transaction matching unit realizes automatic matching based on the condition of the fuel stack and the meeting degree of the requirement according to the actual requirement of a demand party, the transaction process is quicker and more convenient, and the stock ground management efficiency is accelerated.
The invention fully combines the artificial experience of agricultural and forestry biomass stock ground management with the professional technical requirements, the stock ground management is scientific and effective, and semi-automation and even automation of the stock ground management can be realized. The method for managing by using the agriculture and forestry biomass storage yard intelligent management system has the advantages of simplicity, practicability and reasonability in process and can effectively improve economic benefits due to the adoption of the agriculture and forestry biomass storage yard intelligent management system.
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FIG. 1 is a schematic diagram of an intelligent management system of an agriculture and forestry biomass storage yard.
Detailed Description
In order to facilitate an understanding of the invention, the invention will be described more fully and in detail below with reference to the accompanying drawings and preferred embodiments, but the scope of the invention is not limited to the specific embodiments below.
Example (b):
as shown in fig. 1, the intelligent management system for agricultural and forestry biomass storage yard of this embodiment includes:
an identification unit: the system is used for identifying the type of the fuel and sending the fuel to a factory management unit;
a detection unit: for detecting moisture M of fuelMeasuringImpurity AMeasuringAnd sending the data to a factory-entering management unit;
a factory entry management unit: the plant management unit sends M according to the type of fuelMeasuringAnd AMeasuringRespectively with the agreed moisture M of the fuel in the preset fuel comprehensive informationConferenceAnd the impurity AConferenceAnd comparing, judging the grade of the fuel according to the comparison result, and sending a processing instruction according to the grade of the fuel.
This staging method can correctly define the quality of the fuel, and thus obtain the correct processing instruction corresponding to the fuel. For example, the method can be used for returning the fuel with high water content and high impurity content, airing the fuel with high water content, storing the high-value fuel separately, and the like. The problems that the storage cost is increased and the like caused by transfer processing according to conditions after subsequent warehousing are avoided, the storage working efficiency of the fuel is improved, the frequency of manually checking the fuel condition in the warehouse can be reduced, gradient utilization is conveniently realized according to requirements and fuel values, the manual experience of agriculture and forestry biomass stock ground management and the requirements of professional technology are fully combined, the stock ground management is more scientific and effective, and the semi-automation and even automation of the stock ground management are favorably realized.
In the present embodiment, the grade of the fuel includes a rejection level, a pretreatment level, a satisfaction level, and a high-value determination level; the factory entry management unit comprises a grade coefficient operation module, a grade judgment module, a high value judgment module and an instruction output module, wherein the grade coefficient operation module obtains a grade coefficient C through the following processing, and sends the grade coefficient C to the grade judgment module:
Figure BDA0002489935180000071
wherein: a is a weight coefficient of the moisture grade, is related to fuel types and stock ground management concepts, and takes a value of 0-10; b is a weight coefficient of an impurity grade, is related to fuel types and stock ground management concepts, and takes a value of 0-10, and a + b is 10; during definition, if the stock ground can accept fuel with high moisture content, the value of a can be set to be lower, so that the influence of moisture on grade judgment is weakened, and the requirements of the stock ground on impurities are analogized.
The grade judgment module judges that when C is larger than or equal to D, the quality of the fuel obviously does not accord with the agreed condition and belongs to a rejection level, the instruction output module sends a fuel return instruction, an alarm is given, and a worker is informed to return the fuel in time;
when B is less than or equal to C and less than D, the fuel can be stored only through pretreatment such as airing, the fuel belongs to a pretreatment stage, the instruction output module sends a fuel pretreatment instruction, and a worker directly transports the fuel to a pretreatment area such as an airing area for treatment after receiving the instruction, so that the increase of the storage cost due to repeated transportation is avoided;
when A is less than or equal to C and less than B, the fuel meets the requirement level, the instruction output module sends out a fuel stacking instruction, and the worker places the fuel in a proper storage area for stacking only;
when C is less than A, the fuel quality is higher and belongs to a high value judgment level, and the instruction output module sends a high value judgment instruction;
a, B, D is a fuel grade limit value in the preset fuel comprehensive information, and A is more than B and less than D.
In this embodiment, the inbound management unit further includes a high value determination module, and after the instruction output module sends the high value determination instruction, the high value determination module obtains the high value coefficient H by:
Figure BDA0002489935180000072
wherein: FCRelative to each otherFor the relatively fixed carbon content of this fuel, ARelative to each otherRelative impurity content for this fuel:
Figure BDA0002489935180000073
Figure BDA0002489935180000081
ξ is the influence coefficient of impurity, and its value is 0.5-1.5, FCDian (Chinese character)Typical fixed carbon content of the fuel in the fuel comprehensive information;
the high value judgment module sends the high value coefficient H to the grade judgment module, the grade judgment module judges that when E is less than or equal to H, the high value judgment is passed, and the instruction output module sends out a high-price fuel storage instruction; when H is less than E, the high value judgment fails, and the instruction output module sends out a fuel stacking instruction; wherein E is a fuel grade limit value in the preset fuel comprehensive information. The worker stores the high-value fuel independently to avoid mixing with other fuels;
in this embodiment, the agriculture and forestry biomass storage yard intelligent management system further comprises a pricing unit, the identification unit identifies the type of the fuel and the detection unit detects the moisture M of the fuelMeasuringImpurity AMeasuringAnd also to a pricing unit; pricing unit will MMeasuringAnd AMeasuringRespectively with the agreed moisture M of the fuel in the preset fuel comprehensive informationConferenceAnd the impurity AConferenceComparing and negotiating the moisture M based on the comparison resultConferenceAnd the impurity AConferenceLower the agreed price P of the fuelConferenceObtaining purchase pricing P of the fuel through processing1。
The pricing unit carries out pricing according to the actual conditions of the materials, so that the prices of the materials are hooked with the quality of the materials, the original mode that fuels with the same type but different qualities are priced in a unified mode is replaced, the fuel pricing is more precise and reasonable, the fuel pricing is more economical and applicable, and the management of agriculture and forestry biomass fuels is facilitated. And the automation degree of the pricing process is high, and the pricing experience of workers is not required to be relied on, so that the pricing process is quick, and the error is lower.
In this embodiment, the pricing unit specifically implements pricing through the following acquisition pricing module:
when | MConference-MMeasuringLess than or equal to N and AConference-AMeasuringWhen | < L, purchase price P1＝PConferenceN, L are deviation range limits of the agreed moisture and impurities of the fuel in the preset fuel comprehensive information;
when M isMeasuringAnd AMeasuringAnd MConferenceAnd AConferenceWhen the comparison is other cases, the purchase pricing P is obtained by the following processing1：
Figure BDA0002489935180000082
Wherein: mu is a correction coefficient and takes a value of 0.1-2.
In this embodiment, the pricing unit includes pricing P according to purchase of each fuel1Post-processing to obtain a public pricing P for fuel stacks2The public pricing module obtains the public pricing P of the fuel stacks through the following processing2：
Figure BDA0002489935180000083
Wherein: lambda is a correction coefficient and takes a value of 0.2-1.0; n is the number of types of fuel constituting the fuel stack, P1iPricing for each fuel purchase ηiThe proportion of each fuel constituting the fuel stack, n being the number of types of fuel constituting the fuel stack; pIncrease iAnd taking values of 1-1000 for the set price increment of each fuel.
In this embodiment, the agriculture and forestry biomass storage yard intelligent management system further includes a stacking management unit and a transaction matching unitA unit for identifying the type of fuel and the water content M of the fuelMeasuringImpurity AMeasuringThe data is also sent to a stacking management unit;
the stacking management unit comprises a heat value calculation module and a stacking state detection module, wherein the heat value calculation module is used for calculating the types and the moisture M of each fuel in the fuel stackMeasuringAnd impurity AMeasuringAnd typical moisture M of the fuel in preset fuel comprehensive informationDian (Chinese character)Typical impurity ADian (Chinese character)And typical calorific value QDian (Chinese character)Processed to obtain the calorific value Q of the fuel stackStackAnd sending to a transaction matching unit; the stacking state detection module detects the stacking temperature and the stacking time length of the fuel stack and sends the stacking temperature and the stacking time length to the transaction matching unit.
In this embodiment, the calorific value calculation module obtains the calorific value Q of the fuel stack by the following algorithmStack：
Figure BDA0002489935180000091
Figure BDA0002489935180000092
Wherein: taking the value of the correction coefficient as 0.5-1.5; qiCalculating the calorific value for each fuel, ηiN is the proportion of each fuel constituting the fuel stack, and n is the number of types of fuel constituting the fuel stack.
In this embodiment, the transaction matching unit is configured to match the heat value Q according to the procurement requirementsNeed toHeat value Q of fuel stackStackThe difference value, the stacking time length and the stacking temperature of the fuel stacks are processed by a stacking utilization priority calculating module to obtain the utilization priority of each fuel stack, and the fuel stacks are sequentially utilized to perform transaction matching according to the sequence of the utilization priority from high to low; the stack utilization priority calculation module obtains the utilization priority F of each stack through the following algorithmi：
Grading the stacking temperature, and configuring different weight fractions u in different intervals; grading the stacking length withoutConfiguring different weight distributions v in the same interval; stacking calorific value QStackAnd purchase demand calorific value QNeed toThe difference value of (2) is graded, and different weight fractions w are configured in different intervals;
Fi＝αi×ui+βi×vi+γi×wi
wherein: u. ofiThe weight score is corresponding to the temperature interval in which the stacking temperature of the fuel stack is positioned; v. ofiThe weight score is corresponding to the time interval in which the stacking time of the fuel stack is positioned; w is aiHeat value Q of the fuel stackStackAnd purchase demand calorific value QNeed toα corresponding to the difference interval in which the difference value is locatediWeighting correction coefficients for different temperature intervals, taking values of 0-3, βiWeighting correction coefficients of different stacking time intervals, and taking values of 0-5; gamma rayiAnd taking the value of 0-2 for the weight correction coefficient of different difference intervals.
The agriculture and forestry biomass storage yard intelligent management system of the embodiment is preset with fuel comprehensive information, and the fuel comprehensive information at least comprises the following information:
the type characteristic information of each fuel is convenient for the identification unit to carry out type comparison identification;
form of each fuel: the fuel forms are divided into whole charge and bulk. The whole material is crop straw bundling fuel, bagged fuel, building templates, strip energy trees and the like. The bulk materials mainly refer to rice hulls, fruit shells, bamboo scraps, wood chips, leaves, paper scraps, granular materials, formed fuels and the like.
Typical moisture M of each fuelDian (Chinese character)Typical impurity ADian (Chinese character)Typical fixed carbon content FCDian (Chinese character)And typical calorific value QDian (Chinese character)Agreed moisture M of each fuelConferenceAnd the impurity AConferenceAt the agreed moisture MConferenceAnd the impurity AConferenceLower the agreed price P of the fuelConferenceAnd each fuel price increment PIncrease(ii) a The agreed value is determined by negotiation of both transaction parties and is a parameter which changes along with both transaction parties; typical values are obtained by industrial analysis.
Grade limits A, B, D and E for each fuel used for fuel staging;
a fuel agreed moisture deviation range limit N and a fuel agreed impurity deviation range limit L for determining the fuel deviation.
In this embodiment, the integrated fuel information is manually entered into the system through the information entry device. The information input device comprises a mouse and a keyboard.
In this embodiment, the inbound management unit further includes a stacking position allocation module that allocates stacking positions of the fuel stacks according to available sites in the yard. In the current stock ground, need form the enclosure with whole material loading when the fuel is stacked, the middle bulk cargo of placing, when bulk cargo or whole material loading volume were too big, then bulk cargo and whole material loading also can be piled up alone. The stacking position distribution module acquires fuel quality, fuel form and available site information, and completes the distribution of the fuel stacking positions entering a factory and the given stacking numbers according to the manually input stacking specification, the integral loading and the bulk cargo proportion.
In this embodiment, stack state detection module still is arranged in sending the stack temperature and the stack position that obtain that detect to the early warning module in stacking the administrative unit, and the temperature is stacked with the temperature that detects and the standard of this type of fuel in the fuel integrated information of presetting to whether judge and send out the police dispatch newspaper, when needs send out the police dispatch newspaper, stack the administrative unit and send this position of stacking the region simultaneously, so that alarm processing personnel can arrive stacking the region and handle the critical situation the very first time. And the alarm mode can also remind the staff to stack the fuel in the storage area in time, thereby avoiding the situations of too fast fuel quality loss, spontaneous combustion and the like.
In this embodiment, the stacking status detecting module is further configured to determine the stacking mass m of the fuel stackStackTo update the existing fuel inventory in real time, facilitating management and trading, wherein the stack mass mStackObtained by the following processes:
Figure BDA0002489935180000101
wherein σiThe correction coefficient is related to the fuel type, stacking time and stacking environment, and the value is 0.2-2; m isiN is the number of fuel types that the stack makes up, being the respective masses of the different fuels that make up the stack. m isStackThe error between the weighing value and the weighing value when the fuel leaves the factory is negligible.
When the transaction matching unit finishes transaction matching, the delivery quality of the fuel when leaving the factory can be fed back to the pair m in the stacking state detection moduleStackAnd performing real-time updating. The transaction matching unit is also provided with an information sharing module for disclosing corresponding information such as stock ground fuel type, fuel stack quality, fuel stack heat value, fuel stack pricing and the like so that a purchasing party can check the information and receive purchasing requirements of the purchasing party.
In the embodiment, the system is further provided with a display unit, the display unit comprises a display and a acousto-optic alarm device, the display is used for displaying relevant information such as real-time fuel type, storage amount, stacking temperature, stacking heat value and stacking pricing in the storage yard, and information such as the position of a fuel stacking area generating alarm information, and therefore workers can conveniently observe the information.
The management method for managing by the agriculture and forestry biomass storage yard intelligent management system of the embodiment has the advantages due to the adoption of the agriculture and forestry biomass storage yard intelligent management system, the process is simple, feasible and reasonable, and the economic benefit can be effectively improved. The method comprises the following steps:
s1: the identification unit identifies the type of the fuel and sends the type of the fuel to the factory entering management unit, the stacking management unit and the pricing unit;
s2: the detection unit detects the moisture M of the fuelMeasuringAnd impurity AMeasuringAnd sending the data to a factory entering management unit, a stacking management unit and a pricing unit;
s3: and (3) managing fuel entering a factory:
s31: the grade coefficient operation module in the factory entry management unit obtains a grade coefficient C through the following processing, and sends the grade coefficient C to the grade judgment module:
Figure BDA0002489935180000111
wherein: a is a weight coefficient of the moisture grade, and the value of a is 0-10; b is a weight coefficient of the impurity grade, the value is 0-10, and a + b is 10;
s32: and a grade judging module in the factory entry management unit judges:
when D is less than or equal to C, the fuel belongs to a rejection level, the instruction output module sends a fuel return instruction, and an alarm is given;
when B is less than or equal to C and less than D, the fuel belongs to a pretreatment stage, and the instruction output module sends out a fuel pretreatment instruction;
when A is less than or equal to C and less than B, the fuel meets the requirement level, and the instruction output module sends out a fuel stacking instruction;
when C is less than A, the fuel belongs to a high value judgment stage, and the instruction output module sends out a high value judgment instruction;
s33: if the fuel belongs to a high value judgment level, a high value judgment module in the plant management unit obtains a high value coefficient H by the following processing:
Figure BDA0002489935180000112
wherein: FCRelative to each otherFor the relatively fixed carbon content of this fuel, ARelative to each otherRelative impurity content for this fuel:
Figure BDA0002489935180000113
Figure BDA0002489935180000114
ξ is the influence coefficient of impurity, and its value is 0.5-1.5, FCDian (Chinese character)The high value judgment module sends a high value coefficient H to the grade judgment module for typical fixed carbon content of the fuel in the fuel comprehensive information, and the grade judgment module judges that when E is less than or equal to H, the high value judgment is passed, and the instruction output module sends a high-price fuel storage instruction; when H is less than E, the high value judgment is failed, and the instruction output module sends out the fuelA material stacking instruction;
a, B, D, E is a fuel grade limit value in the preset fuel comprehensive information, and A is more than B and less than D;
s34: returning, preprocessing or storing the fuel manually according to the instruction sent by the instruction output module;
s4: fuel pricing:
s41: acquisition pricing module in pricing unitConference-MMeasuringLess than or equal to N and AConference-AMeasuringWhen | < L, purchase price P1＝PConference(ii) a In other cases, the acquisition pricing P is obtained by the following process1：
Figure BDA0002489935180000121
Wherein: mu is a correction coefficient, and the value of mu is 0.1-2;
s42: the public pricing module obtains public pricing P of the fuel stacks by the following processing2：
Figure BDA0002489935180000122
Wherein: lambda is a correction coefficient and takes a value of 0.2-1.0; n is the number of types of fuel constituting the fuel stack, P1iPricing for each fuel purchase ηiThe proportion of each fuel constituting the fuel stack, n being the number of types of fuel constituting the fuel stack; pIncrease iThe value of each set fuel price increment is 1-1000;
s5: transaction matching:
s51: acquiring the purchasing requirement of a purchasing party through an information sharing module;
s52: the stack utilization priority calculation module in the transaction matching unit obtains the utilization priority F of each stack according to the purchasing requirement through the following algorithmi：
Grading the stacking temperature, and configuring different weight fractions u in different intervals; grading stacking time length, and configuring different weight distributions v in different intervals; stacking calorific value QStackAnd purchase demand calorific value QNeed toThe difference value of (2) is graded, and different weight fractions w are configured in different intervals;
Fi＝αi×ui+βi×vi+γi×wi
wherein: u. ofiThe weight score is corresponding to the temperature interval in which the stacking temperature of the fuel stack is positioned; v. ofiThe weight score is corresponding to the time interval in which the stacking time of the fuel stack is positioned; w is aiHeat value Q of the fuel stackStackAnd purchase demand calorific value QNeed toα weight score corresponding to the difference interval in which the difference is locatediWeight correction coefficients for different temperature intervals, with a value range of 0-3, βiWeighting correction coefficients of different stacking time intervals are set, and the value range is 0-5; gamma rayiWeighting correction coefficients for different difference intervals, wherein the value range is 0-2;
s53: and (4) sequentially utilizing the fuel stacks to perform transaction matching according to the sequence of the utilization priority from high to low, and completing the fuel transaction. The specific application examples of the intelligent management system and the management method for the agriculture and forestry biomass storage yard in the embodiment are as follows: example 1:
(1) an agriculture and forestry biomass stock ground, the fuel condition of entering the factory in a certain period of time is as follows:
kind of fuel Coconut shell Bamboo bits Building template Rice straw Rice husk Fruit tree branch
Fuel state Bulk material Bulk material Whole charge Whole charge Bulk material Whole charge
Determination of moisture (%) 31.3 27.5 26.3 32.4 12 38
Detection of impurities (%) 0.75 1.2 2.8 1.8 0.8 0.8
Fuel quantity (t) 500 700 400 600 900 400
Fuel typical data are as follows:
kind of fuel Coconut shell Bamboo bits Building template Rice straw Rice husk Fruit tree branch
Fixed carbon content (%) 21.05 17.00 16.08 16.39 13.95 17.00
Impurity (%) 0.76 1.22 2.74 12.20 17.82 1.22
Moisture (%) 8.25 6.50 8.63 3.61 5.62 6.50
Calorific value (kcal/kg) 4556 3757 3830 3734 3348 3757
The relevant parameters of fuel entering the factory and information publishing are set as follows:
Figure BDA0002489935180000131
Figure BDA0002489935180000141
(2) the situation of a stock ground:
the available place serial number in stock ground has: 1#, 2#, 3#, 5#, 6#, 8# and 10# areas, wherein 1-3# is a mixture area, 200t rice hulls are needed for stacking in the mixture area M-3-14#, the 5# area is a bulk material area, the 6# area is a whole material loading area, the 8# area is a high-value fuel stacking area, and the 10# area is a fuel pretreatment area.
(3) Fuel treatment:
judging the coconut shell fuel to be high-value fuel, stacking in an 8# area, and independently stacking, wherein the serial number of a fuel stack is G-8-2 #;
judging the bamboo chip fuel and the building template fuel to be high-value fuel, combining 700t bamboo chips with 100t building templates to form a stack, stacking the stack in a No. 1 area, and numbering the fuel stack as Y-1-5 #; stacking the rest 300t building templates in a No. 6 area, wherein the serial number of the fuel stack is Y-6-1 #;
the rice straw fuel and the rice hull fuel are judged to meet the requirement level, 700t of rice hulls are combined with 100t of straws to form a stack, the stack is stacked in a No. 2 area, and the stack is numbered M-2-10; conveying the rest 200t of rice husks to an M-3-14# stack; the rest 500t rice straws are piled in the No. 6 area, and the fuel stack number is M-6-2 #.
And judging that the fruit tree branch fuel needs a pretreatment stage, stacking the fruit tree branch fuel in a No. 10 area for pretreatment, wherein the serial number of the fuel stack is C-10-1 #.
(4) The purchase pricing of fuel entering the factory is respectively as follows:
kind of fuel Coconut shell Bamboo bits Building template Rice straw Rice husk Fruit tree branch
Checking prices in factory (yuan/t) 500 300 350 220 320 260.9
(5) The stock ground issues the information of the fuel:
fuel stack numbering G-8-2 Y-1-5 M-2-10 M-3-14
Fuel composition Coconut shell Bamboo bits, building shuttering Rice straw and husk Rice straw and husk
Quality (t) 500 800 800 800
Calorific value (kcal/kg) 3386 2985 3025 3050
Fuel public pricing (Yuan/t) 616 411 363 378
Example 2:
an agriculture and forestry biomass stock ground, the existing fuel stack information in the ground is as follows:
fuel numbering G-8-2 Y-1-5 M-2-10 M-3-14 Y-1-4
Fuel composition Coconut shell Bamboo bits, building shuttering Rice straw and husk Rice straw and husk Wood chip and sawdust
Calorific value (kcal/kg) 3386 2985 3025 3050 3090
Stacking temperature (. degree. C.) 24 33 42 23 22
Duration of stacking (d) 33 55 46 93 70
The purchasing calorific value requirement of a purchasing party is as follows: 3100 kcal/kg.
The utilization priority judgment parameters of the stacks are set as follows:
Figure BDA0002489935180000151
the final stack priority order is: m-2-10 > M-3-14 > Y-1-4 > Y-1-5 > G-8-2.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-described embodiments. It should be apparent to those skilled in the art that modifications and variations can be made without departing from the technical spirit of the present invention.

Claims (10)

1. The utility model provides an agriculture and forestry living beings storage yard intelligent management system which characterized in that: the method comprises the following steps:
an identification unit: the system is used for identifying the type of the fuel and sending the fuel to a factory management unit;
a detection unit: for detecting moisture M of fuelMeasuringImpurity AMeasuringAnd sending the data to a factory-entering management unit;
a factory entry management unit: the plant management unit sends M according to the type of fuelMeasuringAnd AMeasuringRespectively with the agreed moisture M of the fuel in the preset fuel comprehensive informationConferenceAnd the impurity AConferenceAnd comparing, judging the grade of the fuel according to the comparison result, and sending a processing instruction according to the grade of the fuel.
2. The agriculture and forestry biomass storage yard intelligent management system of claim 1, characterized in that: the grade of the fuel comprises a rejection acceptance grade, a pretreatment grade, a satisfaction requirement grade and a high value judgment grade; the factory entry management unit comprises a grade coefficient operation module, a grade judgment module and an instruction output module, wherein the grade coefficient operation module obtains a grade coefficient C through the following processing, and sends the grade coefficient C to the grade judgment module:
Figure FDA0002489935170000011
wherein: a is a weight coefficient of the moisture grade, and the value of a is 0-10; b is a weight coefficient of the impurity grade, the value is 0-10, and a + b is 10;
the grade judgment module judges that when C is larger than or equal to D, the fuel belongs to a rejection grade, and the instruction output module sends a fuel return instruction and gives an alarm;
when B is less than or equal to C and less than D, the fuel belongs to a pretreatment stage, and the instruction output module sends out a fuel pretreatment instruction;
when A is less than or equal to C and less than B, the fuel meets the requirement level, and the instruction output module sends out a fuel stacking instruction;
when C is less than A, the fuel belongs to a high value judgment stage, and the instruction output module sends out a high value judgment instruction;
a, B, D is a fuel grade limit value in the preset fuel comprehensive information, and A is more than B and less than D.
3. The agriculture and forestry biomass storage yard intelligent management system of claim 2, characterized in that: the in-plant management unit further comprises a high value judgment module, and after the instruction output module sends out a high value judgment instruction, the high value judgment module obtains a high value coefficient H through the following processing:
Figure FDA0002489935170000012
wherein: FCRelative to each otherFor the relatively fixed carbon content of this fuel, ARelative to each otherRelative impurity content for this fuel:
Figure FDA0002489935170000013
Figure FDA0002489935170000014
ξ is the influence coefficient of impurity, and its value is 0.5-1.5, FCDian (Chinese character)Typical fixed carbon content of the fuel in the fuel comprehensive information; mDian (Chinese character)Is the typical moisture of the fuel in the preset fuel comprehensive information, ADian (Chinese character)Typical impurities of the fuel in preset fuel comprehensive information are obtained;
the high value judgment module sends the high value coefficient H to the grade judgment module, the grade judgment module judges that when E is less than or equal to H, the high value judgment is passed, and the instruction output module sends out a high-price fuel storage instruction; when H is less than E, the high value judgment fails, and the instruction output module sends out a fuel stacking instruction;
wherein E is a fuel grade limit value in the preset fuel comprehensive information.
4. The agriculture and forestry biomass storage yard intelligent management system of claim 1, characterized in that: further comprising a pricing unit, the identifying unit identifying the type of fuel to be identified and the detecting unit detecting the moisture M of the fuel to be detectedMeasuringImpurity AMeasuringAnd also to a pricing unit; the pricing unit will MMeasuringAnd AMeasuringRespectively with the agreed moisture M of the fuel in the preset fuel comprehensive informationConferenceAnd the impurity AConferenceComparing and negotiating the moisture M based on the comparison resultConferenceAnd the impurity AConferenceLower the agreed price P of the fuelConferenceObtaining purchase pricing P of the fuel through processing1。
5. The agriculture and forestry biomass storage yard intelligent management system of claim 4, characterized in that: the pricing unit realizes pricing through the following acquisition pricing modules:
when | MConference-MMeasuringLess than or equal to N and AConference-AMeasuringWhen | < L, purchase price P1＝PConferenceN, L are deviation range limits of the agreed moisture and impurities of the fuel in the preset fuel comprehensive information; when M isMeasuringAnd AMeasuringAnd MConferenceAnd AConferenceWhen the comparison is other cases, the purchase pricing P is obtained by the following processing1：
Figure FDA0002489935170000021
Wherein: mu is a correction coefficient and takes a value of 0.1-2.
6. The agriculture and forestry biomass storage yard intelligent management system of claim 5, characterized in that: the pricing unit includes pricing P according to purchase of each fuel1Post-processing to obtain a public pricing P for fuel stacks2The public pricing module obtains the public pricing P of the fuel stacks through the following processing2：
Figure FDA0002489935170000022
Wherein: lambda is a correction coefficient and takes a value of 0.2-1.0; n is the number of types of fuel constituting the fuel stack, P1iPricing for each fuel purchase ηiThe proportion of each fuel constituting the fuel stack, n being the number of types of fuel constituting the fuel stack; pIncrease iAnd taking values of 1-1000 for the set price increment of each fuel.
7. The intelligent management system for agricultural and forestry biomass storage farms according to any one of claims 1 to 6, wherein: also comprises a stack management unit and a transaction matching unit, wherein the identification unit identifies the type of the fuel and the detection unit detects the moisture M of the fuelMeasuringImpurity AMeasuringThe data is also sent to a stacking management unit;
the stacking management unit comprises a heat value calculation module and a stacking state detection module, wherein the heat value calculation module is used for calculating the types and the moisture M of all fuels in the fuel stackMeasuringAnd impurity AMeasuringAnd typical moisture M of the fuel in preset fuel comprehensive informationDian (Chinese character)Typical impurity ADian (Chinese character)And typical calorific value QDian (Chinese character)Processed to obtain the calorific value Q of the fuel stackStackAnd sending to a transaction matching unit; the stacking state detection module detects the stacking temperature and the stacking time length of the fuel stack and sends the stacking temperature and the stacking time length to the transaction matching unit.
8. The agriculture and forestry biomass storage yard intelligent management system of claim 7, characterized in that: the heat value calculation module obtains a heat value Q of the fuel stack through the following algorithmStack：
Figure FDA0002489935170000031
Figure FDA0002489935170000032
Wherein: taking the value of the correction coefficient as 0.5-1.5; qiCalculating the calorific value for each fuel, ηiN is the proportion of each fuel constituting the fuel stack, and n is the number of types of fuel constituting the fuel stack.
9. The agriculture and forestry biomass storage yard intelligent management system of claim 7, characterized in that: the transaction matching unit is used for matching the heat value Q according to the purchasing demandNeed toAnd a fuel stackCalorific value Q of the stackStackThe difference value of the total utilization priority of the fuel stacks, the stacking time length of the fuel stacks and the stacking temperature are processed by a stacking utilization priority calculation module to obtain the utilization priority of each fuel stack, the fuel stacks are sequentially utilized for transaction matching from high to low according to the utilization priority, and the stacking utilization priority calculation module obtains the utilization priority F of each stack through the following algorithmi：
Grading the stacking temperature, and configuring different weight fractions u in different intervals; grading stacking time length, and configuring different weight distributions v in different intervals; stacking calorific value QStackAnd purchase demand calorific value QNeed toThe difference value of (2) is graded, and different weight fractions w are configured in different intervals;
Fi＝αi×ui+βi×vi+γi×wi
wherein: u. ofiThe weight score is corresponding to the temperature interval in which the stacking temperature of the fuel stack is positioned; v. ofiThe weight score is corresponding to the time interval in which the stacking time of the fuel stack is positioned; w is aiHeat value Q of the fuel stackStackAnd purchase demand calorific value QNeed toα corresponding to the difference interval in which the difference value is locatediWeighting correction coefficients for different temperature intervals, taking values of 0-3, βiWeighting correction coefficients of different stacking time intervals, and taking values of 0-5; gamma rayiAnd taking the value of 0-2 for the weight correction coefficient of different difference intervals.
10. A management method for managing by using an intelligent management system of an agriculture and forestry biomass storage yard comprises the following steps:
s1: the identification unit identifies the type of the fuel and sends the type of the fuel to the factory entering management unit, the stacking management unit and the pricing unit;
s2: the detection unit detects the moisture M of the fuelMeasuringAnd impurity AMeasuringAnd sending the data to a factory entering management unit, a stacking management unit and a pricing unit;
s3: and (3) managing fuel entering a factory:
s31: the grade coefficient operation module in the factory entry management unit obtains a grade coefficient C through the following processing, and sends the grade coefficient C to the grade judgment module:
Figure FDA0002489935170000041
wherein: a is a weight coefficient of the moisture grade, and the value of a is 0-10; b is a weight coefficient of the impurity grade, the value is 0-10, and a + b is 10;
s32: and a grade judging module in the factory entry management unit judges:
when D is less than or equal to C, the fuel belongs to a rejection level, the instruction output module sends a fuel return instruction, and an alarm is given;
when B is less than or equal to C and less than D, the fuel belongs to a pretreatment stage, and the instruction output module sends out a fuel pretreatment instruction;
when A is less than or equal to C and less than B, the fuel meets the requirement level, and the instruction output module sends out a fuel stacking instruction;
when C is less than A, the fuel belongs to a high value judgment stage, and the instruction output module sends out a high value judgment instruction;
s33: if the fuel belongs to a high value judgment level, a high value judgment module in the plant management unit obtains a high value coefficient H by the following processing:
Figure FDA0002489935170000042
wherein: FCRelative to each otherFor the relatively fixed carbon content of this fuel, ARelative to each otherRelative impurity content for this fuel:
Figure FDA0002489935170000043
Figure FDA0002489935170000044
ξ is the influence coefficient of impurity, and its value is 0.5-1.5, FCDian (Chinese character)Is the typical fixed carbon content of such fuels in the fuel complex,the high value judgment module sends the high value coefficient H to the grade judgment module, the grade judgment module judges that when E is less than or equal to H, the high value judgment is passed, and the instruction output module sends out a high-price fuel storage instruction; when H is less than E, the high value judgment fails, and the instruction output module sends out a fuel stacking instruction;
a, B, D, E is a fuel grade limit value in the preset fuel comprehensive information, and A is more than B and less than D;
s34: returning, preprocessing or storing the fuel manually according to the instruction sent by the instruction output module;
s4: fuel pricing:
s41: acquisition pricing module in pricing unit determines current | MConference-MMeasuringLess than or equal to N and AConference-AMeasuringWhen | < L, purchase price P1＝PConference(ii) a In other cases, the acquisition pricing P is obtained by the following process1：
Figure FDA0002489935170000045
Wherein: mu is a correction coefficient, and the value of mu is 0.1-2;
s42: the public pricing module obtains public pricing P of the fuel stacks by the following processing2：
Figure FDA0002489935170000051
Wherein: lambda is a correction coefficient and takes a value of 0.2-1.0; n is the number of types of fuel constituting the fuel stack, P1iPricing for each fuel purchase ηiThe proportion of each fuel constituting the fuel stack, n being the number of types of fuel constituting the fuel stack; pIncrease iThe value of each set fuel price increment is 1-1000;
s5: transaction matching:
s51: the stack utilization priority calculation module in the transaction matching unit obtains the utilization priority F of each stack through the following algorithmi：
Temperature grading of stacks, different zonesDifferent weight fractions u are configured among the different weight fractions; grading stacking time length, and configuring different weight distributions v in different intervals; stacking calorific value QStackAnd purchase demand calorific value QNeed toThe difference value of (2) is graded, and different weight fractions w are configured in different intervals;
Fi＝αi×ui+βi×vi+γi×wi
wherein: u. ofiThe weight score is corresponding to the temperature interval in which the stacking temperature of the fuel stack is positioned; v. ofiThe weight score is corresponding to the time interval in which the stacking time of the fuel stack is positioned; w is aiHeat value Q of the fuel stackStackAnd purchase demand calorific value QNeed toα weight score corresponding to the difference interval in which the difference is locatediWeight correction coefficients for different temperature intervals, with a value range of 0-3, βiWeighting correction coefficients of different stacking time intervals are set, and the value range is 0-5; gamma rayiWeighting correction coefficients for different difference intervals, wherein the value range is 0-2;
s52: and (4) sequentially utilizing the fuel stacks to perform transaction matching according to the sequence of the utilization priority from high to low, and completing the fuel transaction.
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