An intelligent management system for agricultural machinery trusteeship services
By designing an intelligent management system for agricultural machinery custody services and using services to implement supervision modules and income supervision modules, active supervision and evaluation of agricultural machinery custody services is achieved, the problem of poor protection of farmers' interests in the existing technology is solved, and the interests of farmers are improved Guarantee and manage results.
Patent Information
- Application Number
- CN202411378980.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-01-10
- Estimated Expiration
- 2044-09-30
AI Technical Summary
The existing agricultural machinery custody service management plan cannot effectively carry out active supervision and evaluation and dynamic management of interest protection from the perspective of farmers, resulting in poor interest protection and management results of agricultural machinery custody service farmers.
An intelligent management system for agricultural machinery custody services was designed, including the server and the farmer. Through the service implementation supervision module, the agricultural machinery custody service process is monitored, digitalized and data analysis is analyzed, and dynamic management is carried out adaptively, and the service income supervision module is used to supervise the agricultural machinery custody service process. Analyze the rationality of returns and provide dynamic management measures.
Active supervision and evaluation of agricultural machinery custody services have been achieved, the autonomous supervision effect of farmers' interests has been improved, the dynamic management ability of service implementation and income distribution has been enhanced, and the level of farmers' interests has been improved.
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Figure CN118886621B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of trusteeship service management, and in particular to an intelligent management system for trusteeship services for agricultural machinery. Background Art
[0002] Agricultural machinery trusteeship service is a form of agricultural production and management, which mainly refers to farmers entrusting their farmland or farming activities to professional agricultural machinery cooperatives or social service organizations for management and services. This service model aims to improve the efficiency of agricultural production, reduce costs, enhance the level of agricultural modernization, and solve the problem of rural labor shortage.
[0003] Although the existing agricultural machinery trusteeship services have played a positive role in promoting agricultural modernization, there are also some problems and challenges. When the existing agricultural machinery trusteeship service management solutions are implemented, some improper behaviors in the agricultural machinery trusteeship service process may damage the interests of farmers. However, the existing technical solutions cannot actively conduct supervision and evaluation on the farmers' interests based on the farmers' perspective, and cannot adaptively provide dynamic prompts based on the evaluation results and manage all the hidden dangers in the agricultural machinery trusteeship service process, resulting in poor autonomous supervision and management effects on the farmers' interests on the agricultural machinery trusteeship service side. Summary of the invention
[0004] The purpose of the present invention is to provide an intelligent management system for agricultural machinery trusteeship services, which is used to solve the technical problems of poor interest protection, autonomous supervision and management effects of farmers in agricultural machinery trusteeship services in existing solutions.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] An intelligent management system for agricultural machinery trusteeship services, comprising an agricultural machinery trusteeship service supervision platform, and a service end and a farmer end connected to the agricultural machinery trusteeship service supervision platform;
[0007] The server includes a service content provision module, which is used to obtain the service content provided by the agricultural machinery trusteeship service provider and upload it to the agricultural machinery trusteeship service supervision platform;
[0008] The farmer end includes a service implementation supervision module and a service revenue supervision module;
[0009] The service implementation supervision module is used to monitor and count the implementation processes of different services provided by the agricultural machinery trusteeship service provider and to digitally process them. It also analyzes the different digitally processed data to determine the implementation status of the services provided by the agricultural machinery trusteeship service provider and dynamically manages the agricultural machinery trusteeship service in an adaptive manner.
[0010] Among them, all farmers and their corresponding land trusteeship data are obtained according to the service content provided by the agricultural machinery trusteeship service provider; the service implementation parameters corresponding to the different service implementation processes of the agricultural machinery trusteeship service provider serving different farmers' trusteeship land are digitized and sorted and combined to obtain the individual farmer service supervision sequence;
[0011] Data analysis is performed on the service supervision sequence of individual farmers to determine the service implementation status of the individual farmers and mark and classify them to obtain farmers with normal implementation or farmers with abnormal implementation;
[0012] Conduct a traceback analysis on the degree of abnormal implementation status corresponding to the abnormal farmers, and obtain whether the abnormal implementation status corresponding to the abnormal farmers is slightly abnormal or severely abnormal;
[0013] Calculate and analyze the total number of farmers with mild and severe abnormal implementation status to determine the overall implementation impact of abnormal implementation services provided by the agricultural machinery trusteeship service provider, and adaptively issue dynamic alarm prompts based on the analysis results, and optimize, rectify and manage the abnormal services of the agricultural machinery trusteeship service provider;
[0014] The service income supervision module is used to conduct income rationality supervision analysis based on the actual grain output and actual trusteeship income of different farmers corresponding to different trusteeship lands, and to dynamically manage the agricultural machinery trusteeship service adaptively based on the supervision analysis results.
[0015] Preferably, the land trust data includes land areas and land locations corresponding to different trust lands;
[0016] All farmers and their entrusted lands are numbered separately;
[0017] Also, monitor and count the service implementation parameters Ci corresponding to different service implementation processes of the agricultural machinery trusteeship service provider serving different farmers' trusteeship land, extract the values of different service implementation indicators FBij in the service implementation parameters of different farmers, and perform data analysis through the service implementation identification piecewise function, and output the indicator implementation identification ZBij corresponding to different service implementation indicators of different farmers; i is different farmers, i={1, 2, 3, ..., n}, n is a positive integer; j is different service implementation indicator items, j={1, 2, 3, ..., m}, m is a positive integer;
[0018] The indicator status flag contains a value of 0 or 1, indicating whether the indicator implementation status of the corresponding service implementation indicator is normal or abnormal;
[0019] The indicator implementation identifiers of farmers corresponding to all service implementation indicators are sorted and combined to obtain the service supervision sequence of individual farmers.
[0020] Preferably, the service implements the expression for identifying the piecewise function as ; Where Uj is the standard implementation scope corresponding to different service implementation indicators.
[0021] Preferably, when determining the service implementation status corresponding to the individual farmer according to the individual farmer service supervision sequence, the individual farmer service supervision sequences corresponding to different farmers are traversed and analyzed in turn;
[0022] If there is no element with a value of 1 in the individual farmer service supervision sequence, a normal implementation instruction is generated and the farmer is marked as a normal implementation farmer;
[0023] Otherwise, an abnormal implementation instruction is generated and the farmer is marked as an abnormal implementation farmer. The service implementation indicators corresponding to all elements with a value of 1 for the abnormal implementation farmer are obtained and marked as abnormal service implementation indicators. All abnormal service implementation indicators are digitized to obtain the corresponding abnormal service implementation indicator weight FQij´, and the abnormal implementation formula is used to calculate the abnormal service implementation indicator weight FQij´. Calculate and obtain the abnormal implementation degree Ys corresponding to the farmers who implement abnormalities; where N is the total number of abnormal service implementation indicators corresponding to the farmers who implement abnormalities; A is the standard value of abnormal implementation.
[0024] Preferably, when the abnormal implementation degree is analyzed to determine the abnormal implementation status corresponding to the abnormal implementation farmer, if the abnormal implementation degree is not greater than 1, a slight abnormal implementation instruction is generated and the abnormal implementation status corresponding to the abnormal implementation farmer is prompted to be slightly abnormal;
[0025] On the contrary, a severe abnormal implementation instruction is generated and the abnormal implementation status corresponding to the abnormal farmer is prompted to be severely abnormal;
[0026] The total number of farmers corresponding to the mild abnormality and severe abnormality of the abnormal implementation status are counted and marked as the first abnormality total number N1 and the second abnormality total number N2 respectively, and the abnormality evaluation formula is used to evaluate the total number of farmers. Calculate and obtain the implementation impact Sy corresponding to all farmers with implementation abnormalities; where exp() is an exponential function with the natural constant e as the base; α is the weighted influence coefficient and is greater than one; B is the implementation impact standard value.
[0027] Preferably, when data analysis is performed on the implementation impact to determine the overall implementation impact corresponding to the abnormal implementation service provided by the agricultural machinery trusteeship service provider;
[0028] If the implementation impact is 1, an overall implementation light impact label is generated;
[0029] If the implementation impact is greater than 1, an overall implementation heavy impact label is generated;
[0030] According to the overall implementation of the light impact label or the overall implementation of the heavy impact label, the agricultural machinery trusteeship service provider will be warned to a corresponding degree. At the same time, the abnormal implementation services of the agricultural machinery trusteeship service provider will be optimized, rectified and managed through a third party.
[0031] Preferably, the grain yield LCik of different farmers corresponding to different entrusted lands is obtained, where k is different entrusted lands, k={1, 2, 3, ..., p}, and p is a positive integer;
[0032] And, obtain the actual trusteeship income YSik of different farmers corresponding to different trusteeship lands; when conducting income rationality supervision analysis on different farmers corresponding to different trusteeship lands, the grain output and actual trusteeship income corresponding to different trusteeship lands of different farmers are analyzed through the income supervision identification piecewise function, and the income implementation identification SJik corresponding to different trusteeship lands is output;
[0033] The income implementation identifier contains a value of 0 or 1, indicating whether the income distribution status corresponding to the trust land is reasonable or unreasonable.
[0034] Preferably, when data analysis is performed on the income implementation identification to determine the income distribution status corresponding to different entrusted lands of different farmers;
[0035] If the benefit implementation indicator is 0, a reasonable benefit distribution label is generated and prompted;
[0036] If the income implementation flag is 1, an unreasonable income distribution label will be generated and a prompt will be given. At the same time, the abnormal income service of the agricultural machinery trusteeship service provider will be optimized, rectified and managed through a third party.
[0037] Preferably, the expression of the revenue regulation identification piecewise function is: ; In the formula, C is the unit grain purchase price; CBik is the total trusteeship cost corresponding to different trusteeship lands; Ub is the standard range of income distribution corresponding to the trusteeship land.
[0038] Compared with the existing solutions, the present invention achieves the following beneficial effects:
[0039] The present invention obtains the individual farmer service supervision sequence corresponding to different entrusted farmers by digitally processing and combining the indicator implementation status corresponding to different service implementation indicators of the service implementation dimension of the agricultural machinery trusteeship service. This can not only realize the digital processing and analysis of the service implementation indicators corresponding to different entrusted lands of different entrusted farmers, but also provide reliable local supervision data support for the subsequent trusteeship implementation status analysis corresponding to different entrusted lands of different entrusted farmers.
[0040] The present invention digitally processes and analyzes different service implementation indicators corresponding to different entrusted lands served by the agricultural machinery trusteeship service provider, and further digitally processes and analyzes all abnormal service implementation indicators of individual trusted farmers, determines the abnormal implementation status corresponding to different farmers with different implementation abnormalities, and further expands and extends the abnormal implementation status corresponding to all farmers with different implementation abnormalities. Through data processing, calculation and analysis, the overall implementation impact corresponding to all farmers with different implementation abnormalities is obtained and dynamically managed adaptively, thereby realizing active supervision and evaluation of the service implementation dimensions corresponding to the agricultural machinery trusteeship service and dynamically implementing management measures, thereby improving the autonomous supervision effect of protecting farmers' interests in the service implementation dimension.
[0041] The present invention digitizes and analyzes the actual trusteeship income corresponding to different trusteeship lands served by the agricultural machinery trusteeship service provider, determines the income distribution status corresponding to different trusteeship lands according to the analysis results, and implements targeted optimization, rectification and management of abnormal income services corresponding to different trusteeship lands. It realizes active supervision and evaluation of the income implementation dimension corresponding to the agricultural machinery trusteeship service and dynamically implements management measures, thereby improving the autonomous supervision effect of protecting farmers' interests in the income implementation dimension. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] The present invention will be further described below in conjunction with the accompanying drawings.
[0043] Figure 1 This is a module block diagram of an intelligent management system for agricultural machinery trusteeship services according to the present invention.
[0044] Figure 2 This is a flowchart of the operation of an intelligent management system for agricultural machinery trusteeship services according to the present invention.
[0045] Figure 3 It is a flowchart for determining the service implementation status corresponding to the individual farmer in the present invention.
[0046] Figure 4 It is a flowchart for determining the overall implementation impact corresponding to the abnormal implementation service provided by the agricultural machinery trusteeship service provider in the present invention. DETAILED DESCRIPTION
[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0048] like Figure 1 to Figure 2As shown, the present invention is an intelligent management system for agricultural machinery trusteeship services, including an agricultural machinery trusteeship service supervision platform, and a service end and a farmer end connected to the agricultural machinery trusteeship service supervision platform;
[0049] The server includes a service content provision module, which is used to obtain the service content provided by the agricultural machinery trusteeship service provider and upload it to the agricultural machinery trusteeship service supervision platform;
[0050] The service content may specifically include all the contents contained in the service contract, such as the service quality negotiation content and service revenue negotiation content;
[0051] The farmer end includes a service implementation supervision module and a service revenue supervision module;
[0052] The service implementation supervision module is used to monitor and count the implementation processes of different services provided by the agricultural machinery trusteeship service provider and to digitally process them, and to analyze the different digitally processed data to determine the implementation status of the services provided by the agricultural machinery trusteeship service provider; including:
[0053] Obtain all farmers and their corresponding land trusteeship data based on the service content provided by the agricultural machinery trusteeship service provider; the land trusteeship data includes the land area and land location corresponding to different trusteeship lands;
[0054] All farmers and their entrusted lands are numbered separately;
[0055] Also, monitor and count the service implementation parameters Ci corresponding to different service implementation processes of the agricultural machinery trusteeship service provider serving different farmers' trusteeship land, extract the values of different service implementation indicators FBij in the service implementation parameters of different farmers, and perform data analysis through the service implementation identification piecewise function, and output the indicator implementation identification ZBij corresponding to different service implementation indicators of different farmers; i is different farmers, i={1, 2, 3, ..., n}, n is a positive integer; j is different service implementation indicator items, j={1, 2, 3, ..., m}, m is a positive integer;
[0056] It is necessary to explain that the different service implementation indicators include, but are not limited to, tillage depth, total amount of fertilizer applied, and total amount of pesticides;
[0057] Among them, the expression of the service implementation identification piecewise function is ; In the formula, Uj is the standard implementation scope corresponding to different service implementation indicators, which is determined according to the service content;
[0058] It should be noted that the indicator implementation identifier is used to digitally represent the indicator implementation status corresponding to different service implementation indicators;
[0059] The indicator status flag contains a value of 0 or 1, indicating whether the indicator implementation status of the corresponding service implementation indicator is normal or abnormal;
[0060] Sort and combine the indicator implementation identifiers of farmers corresponding to all service implementation indicators to obtain the service supervision sequence of individual farmers;
[0061] In an embodiment of the present invention, by digitally processing and combining the indicator implementation status corresponding to different service implementation indicators of the service implementation dimension corresponding to the agricultural machinery trusteeship service, an individual farmer service supervision sequence corresponding to different trusteeship farmers is obtained, which can not only realize the digital processing and analysis of the service implementation indicators corresponding to different trusteeship lands of different trusteeship farmers, but also provide reliable local supervision data support for the subsequent trusteeship implementation status analysis corresponding to different trusteeship lands of different trusteeship farmers.
[0062] like Figure 3 As shown, when determining the service implementation status corresponding to the individual farmer according to the individual farmer service supervision sequence, the individual farmer service supervision sequences corresponding to different farmers are traversed and analyzed in turn;
[0063] If there is no element with a value of 1 in the individual farmer service supervision sequence, a normal implementation instruction is generated and the farmer is marked as a normal implementation farmer;
[0064] Otherwise, an abnormal implementation instruction is generated and the farmer is marked as an abnormal implementation farmer. The service implementation indicators corresponding to all elements with a value of 1 for the abnormal implementation farmer are obtained and marked as abnormal service implementation indicators. All abnormal service implementation indicators are digitized to obtain the corresponding abnormal service implementation indicator weights FQij´. When digitizing, all abnormal service implementation indicators are input into the indicator weight data table in turn for traversal and matching to obtain the corresponding abnormal service implementation indicator weights. Among them, the indicator weight data table pre-stores a number of different sample service implementation indicators and their corresponding sample service implementation indicator weights. The sample service implementation indicator weights are used to digitally represent the indicator impact corresponding to the sample service implementation indicators. The specific values of different sample service implementation indicator weights can be determined by professional and technical personnel in this field based on work experience; and through the abnormal implementation formula Calculate and obtain the abnormal implementation degree Ys corresponding to the farmers who implement abnormal services; where N is the total number of abnormal service implementation indicators corresponding to the farmers who implement abnormal services; A is the abnormal implementation standard value, which is determined according to the service content;
[0065] It should be noted that the abnormal implementation degree is used to integrate and calculate all abnormal service implementation indicator data corresponding to the land trusteeship services of individual farmers to digitally represent the abnormal implementation status corresponding to the farmers who implement abnormalities; the larger the abnormal implementation degree, the more serious the abnormal implementation status corresponding to the farmers who implement abnormalities;
[0066] When the abnormal implementation degree is analyzed to determine the abnormal implementation status corresponding to the abnormal farmer, if the abnormal implementation degree is not greater than 1, a slight abnormal implementation instruction is generated and the abnormal implementation status corresponding to the abnormal farmer is prompted to be slightly abnormal;
[0067] On the contrary, a severe abnormal implementation instruction is generated and the abnormal implementation status corresponding to the abnormal farmer is prompted to be severely abnormal;
[0068] In an embodiment of the present invention, all abnormal service identification index data corresponding to the abnormal farmers marked in the early screening are integrated and calculated to obtain the corresponding abnormal implementation degree, and the abnormal implementation status corresponding to the abnormal farmers is determined by performing data analysis on the abnormal implementation degree. At the same time, reliable individual abnormality analysis data support can also be provided for the subsequent overall implementation impact analysis corresponding to all abnormal farmers.
[0069] The total number of farmers corresponding to the mild abnormality and severe abnormality of the abnormal implementation status are counted and marked as the first abnormality total number N1 and the second abnormality total number N2 respectively, and the abnormality evaluation formula is used to evaluate the total number of farmers. Calculate and obtain the implementation impact Sy corresponding to all farmers with implementation abnormalities; where exp() is an exponential function with the natural constant e as the base; α is the weighted impact coefficient and is greater than one. The specific value is not limited and can be customized according to the actual application requirements of the actual application scenario; B is the implementation impact standard value, which is determined according to the service content;
[0070] It should be noted that the implementation impact is used to integrate and calculate the different abnormal implementation status data analyzed and counted in the previous period to digitally represent the overall implementation impact corresponding to all farmers with abnormal implementation;
[0071] like Figure 4 As shown, when data analysis is performed on the implementation impact to determine the overall implementation impact corresponding to the abnormal implementation service provided by the agricultural machinery trusteeship service provider;
[0072] If the implementation impact is 1, an overall implementation light impact label is generated;
[0073] If the implementation impact is greater than 1, an overall implementation heavy impact label is generated;
[0074] According to the overall implementation of the light impact label or the overall implementation of the heavy impact label, the corresponding degree of warning reminder is given to the agricultural machinery trusteeship service provider, and at the same time, the abnormal implementation service of the agricultural machinery trusteeship service provider is optimized, rectified and managed through a third party; the management here can specifically be the management of penalty for breach of contract; the third party can be the village committee;
[0075] In the embodiment of the present invention, by digitally processing and analyzing different service implementation indicators corresponding to different entrusted lands served by the agricultural machinery trusteeship service provider, and further digitally processing and analyzing all abnormal service implementation indicators of individual trusted farmers, the abnormal implementation states corresponding to different farmers with different implementation abnormalities are determined, and then the abnormal implementation states corresponding to all farmers with different implementation abnormalities are further expanded and extended. Through data processing, calculation and analysis, the overall implementation impact corresponding to all farmers with different implementation abnormalities is obtained and dynamically managed adaptively, thereby achieving active supervision and evaluation of the service implementation dimensions corresponding to the agricultural machinery trusteeship service and dynamically implementing management measures, thereby improving the autonomous supervision effect of protecting farmers' interests in the service implementation dimension.
[0076] The service income supervision module is used to conduct income rationality supervision analysis based on the actual grain output and actual trusteeship income of different farmers corresponding to different trusteeship lands, and dynamically manage the agricultural machinery trusteeship service adaptively based on the supervision analysis results; including:
[0077] Obtain the grain yield LCik of different farmers corresponding to different entrusted lands, where k is different entrusted lands, k={1, 2, 3, ..., p}, and p is a positive integer; since the existing entrusted lands are all maintained and harvested by machines, the Internet of Things technology can be used to monitor and count the grain yield data of the machines that harvest grain on the entrusted lands. Specific Internet of Things technologies include but are not limited to existing positioning technology, weighing technology, and automated data storage technology;
[0078] In addition, the actual trusteeship income YSik corresponding to different trusteeship lands of different farmers is obtained, that is, the profit dividend corresponding to different trusteeship lands; when conducting the income rationality supervision analysis on different trusteeship lands of different farmers, the grain output and actual trusteeship income corresponding to different trusteeship lands of different farmers are analyzed through the income supervision identification piecewise function, and the income implementation identification SJik corresponding to different trusteeship lands is output;
[0079] Among them, the expression of the piecewise function of income regulation identification is: ; In the formula, C is the unit grain purchase price, which is determined according to the actual grain market purchase price in the application scenario; CBik is the total trusteeship cost corresponding to different trusteeship lands, which includes human service fees, machine work fees, and material fees (such as seeds, fertilizers, pesticides, etc.); Ub is the standard range of income distribution corresponding to the trusteeship land, which is determined according to the service content;
[0080] It should be noted that the revenue implementation identifier is used to calculate and digitally represent the revenue distribution status corresponding to different trust lands;
[0081] The income implementation flag contains a value of 0 or 1, indicating whether the income distribution status corresponding to the trust land is reasonable or unreasonable;
[0082] When conducting data analysis on the income implementation identification to determine the income distribution status corresponding to different entrusted lands of different farmers;
[0083] If the benefit implementation indicator is 0, a reasonable benefit distribution label is generated and prompted;
[0084] If the income implementation flag is 1, an unreasonable income distribution label is generated and a prompt is given. At the same time, the abnormal income service of the agricultural machinery trusteeship service provider is optimized, rectified and managed through a third party; the management here can specifically be income distribution compensation management.
[0085] In the embodiment of the present invention, by digitally processing and analyzing the actual trusteeship income corresponding to different trusteeship lands served by the agricultural machinery trusteeship service provider, determining the income distribution status corresponding to different trusteeship lands based on the analysis results, and implementing targeted optimization, rectification and management of abnormal income services corresponding to different trusteeship lands, it is possible to actively supervise and evaluate the income implementation dimensions corresponding to the agricultural machinery trusteeship services and dynamically implement management measures, thereby improving the autonomous supervision effect of protecting farmers' interests in the income implementation dimension.
[0086] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.
[0087] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.
[0088] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0089] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.
[0090] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.
[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.
Claims
1. An intelligent management system for agricultural machinery trusteeship services, characterized in that: It includes an agricultural machinery trusteeship service supervision platform, as well as a service end and a farmer end connected to the agricultural machinery trusteeship service supervision platform; The server includes a service content provision module, which is used to obtain the service content provided by the agricultural machinery trusteeship service provider and upload it to the agricultural machinery trusteeship service supervision platform; The farmer end includes a service implementation supervision module and a service revenue supervision module; The service implementation supervision module is used to monitor and count the implementation processes of different services provided by the agricultural machinery trusteeship service provider and to digitally process them. It also analyzes the different digitally processed data to determine the implementation status of the services provided by the agricultural machinery trusteeship service provider and dynamically manages the agricultural machinery trusteeship service in an adaptive manner. Among them, all farmers and their corresponding land trusteeship data are obtained according to the service content provided by the agricultural machinery trusteeship service provider; the service implementation parameters corresponding to the different service implementation processes of the agricultural machinery trusteeship service provider serving different farmers' trusteeship land are digitized and sorted and combined to obtain the individual farmer service supervision sequence; When determining the service implementation status corresponding to the individual farmer according to the individual farmer service supervision sequence, the individual farmer service supervision sequence corresponding to different farmers is traversed and analyzed in turn; If there is no element with a value of 1 in the individual farmer service supervision sequence, a normal implementation instruction is generated and the farmer is marked as a normal implementation farmer; Otherwise, an abnormal implementation instruction is generated and the farmer is marked as an abnormal implementation farmer. The service implementation indicators corresponding to all elements with a value of 1 for the abnormal implementation farmer are obtained and marked as abnormal service implementation indicators. All abnormal service implementation indicators are digitized to obtain the corresponding abnormal service implementation indicator weight FQij´, and the abnormal implementation formula is used to calculate the abnormal service implementation indicator weight FQij´. Calculate and obtain the abnormal implementation degree Ys corresponding to the farmers who implement abnormality; where N is the total number of abnormal service implementation indicators corresponding to the farmers who implement abnormality; A is the standard value of abnormal implementation; When the abnormal implementation degree is analyzed to determine the abnormal implementation status corresponding to the abnormal farmer, if the abnormal implementation degree is not greater than 1, a slight abnormal implementation instruction is generated and the abnormal implementation status corresponding to the abnormal farmer is prompted to be slightly abnormal; On the contrary, a severe abnormal implementation instruction is generated and the abnormal implementation status corresponding to the abnormal farmer is prompted to be severely abnormal; The total number of farmers corresponding to the mild abnormality and severe abnormality of the abnormal implementation status is calculated, and the total number of farmers corresponding to the mild abnormality and severe abnormality of the abnormal implementation status is counted and marked as the first abnormal total number N1 and the second abnormal total number N2 respectively, and the abnormal evaluation formula is used Calculate and obtain the implementation impact Sy corresponding to all farmers with abnormal implementation; where exp() is an exponential function with the natural constant e as the base; α is the weighted impact coefficient and is greater than one; B is the implementation impact standard value; Conduct data analysis on the implementation impact, determine the overall implementation impact of the abnormal implementation services provided by the agricultural machinery trusteeship service provider, and adaptively issue dynamic alarm prompts based on the analysis results, and optimize, rectify and manage the abnormal services of the agricultural machinery trusteeship service provider; The service income supervision module is used to conduct income rationality supervision analysis based on the actual grain output and actual trusteeship income of different farmers corresponding to different trusteeship lands, and dynamically manage the agricultural machinery trusteeship service adaptively based on the supervision analysis results: including: Obtain the grain yield LCik of different farmers corresponding to different entrusted lands, k is different entrusted lands, k={1, 2, 3, ..., p}, p is a positive integer; And, obtain the actual trusteeship income YSik of different farmers corresponding to different trusteeship lands; when conducting income rationality supervision analysis on different farmers corresponding to different trusteeship lands, the grain output and actual trusteeship income corresponding to different trusteeship lands of different farmers are analyzed through the income supervision identification piecewise function, and the income implementation identification SJik corresponding to different trusteeship lands is output; Among them, the expression of the piecewise function of income regulation identification is: ; In the formula, C is the unit grain purchase price; CBik is the total trusteeship cost corresponding to different trusteeship lands; Ub is the standard range of income distribution corresponding to the trusteeship land; The income implementation flag contains a value of 0 or 1, indicating whether the income distribution status corresponding to the trust land is reasonable or unreasonable; When conducting data analysis on the income implementation identification to determine the income distribution status corresponding to different entrusted lands of different farmers; If the benefit implementation indicator is 0, a reasonable benefit distribution label is generated and prompted; If the income implementation flag is 1, an unreasonable income distribution label will be generated and a prompt will be given. At the same time, the abnormal income service of the agricultural machinery trusteeship service provider will be optimized, rectified and managed through a third party.
2. The intelligent management system for agricultural machinery trusteeship services according to claim 1 is characterized in that: The land trust data includes the land area and land location corresponding to different trust lands; All farmers and their entrusted lands are numbered separately; Also, monitor and count the service implementation parameters Ci corresponding to different service implementation processes of the agricultural machinery trusteeship service provider serving different farmers' trusteeship land, extract the values of different service implementation indicators FBij in the service implementation parameters of different farmers, and perform data analysis through the service implementation identification piecewise function, and output the indicator implementation identification ZBij corresponding to different service implementation indicators of different farmers; i is different farmers, i={1, 2, 3, ..., n}, n is a positive integer; j is different service implementation indicator items, j={1, 2, 3, ..., m}, m is a positive integer; The indicator status flag contains a value of 0 or 1, indicating whether the indicator implementation status of the corresponding service implementation indicator is normal or abnormal; The indicator implementation identifiers of farmers corresponding to all service implementation indicators are sorted and combined to obtain the service supervision sequence of individual farmers.
3. The intelligent management system for agricultural machinery trusteeship services according to claim 2 is characterized in that: The expression for the service implementation identifying the piecewise function is ; Where Uj is the standard implementation scope corresponding to different service implementation indicators.
4. The intelligent management system for agricultural machinery trusteeship services according to claim 1, characterized in that: When conducting data analysis on the implementation impact to determine the overall implementation impact corresponding to the abnormal implementation services provided by the agricultural machinery trusteeship service provider; If the implementation impact is 1, an overall implementation light impact label is generated; If the implementation impact is greater than 1, an overall implementation heavy impact label is generated; According to the overall implementation of the light impact label or the overall implementation of the heavy impact label, the agricultural machinery trusteeship service provider will be warned to a corresponding degree. At the same time, the abnormal implementation services of the agricultural machinery trusteeship service provider will be optimized, rectified and managed through a third party.
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