A vehicle operation management system and method for ranch

Abstract

The invention discloses a vehicle operation management system and method for a ranch, belonging to the technical field of vehicle management; the invention is used to solve the technical problems of a single ranch vehicle operation supervision method in different operation centers in the existing solution and poor pertinence and reliability of autonomous management; multi-dimensional data processing is performed on the stage abnormal operation state corresponding to the stage abnormal vehicle type obtained by early processing to obtain the corresponding first-stage abnormal operation degree and second-stage abnormal operation degree, and the first-stage abnormal operation degree and second-stage abnormal operation degree obtained by processing are used to fill the data of the type operation supervision sequence corresponding to the operation center; operation abnormality impact analysis is performed according to the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and dynamic management of all ranch vehicle operations of different operation centers is adaptively performed according to the analysis results.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle management, and in particular to a vehicle operation management system and method for a ranch. Background Art

[0002] The vehicle operation management of the ranch refers to the management and control of a series of activities such as the use, maintenance, and dispatch of all vehicles on the ranch. Its purpose is to ensure that the vehicles can operate safely and efficiently, while reducing operating costs and improving economic benefits.

[0003] When the existing ranch vehicle operation management plan is implemented, it is impossible to implement multi-dimensional operation supervision and analysis for all vehicle types in different operation centers, and to implement targeted operation management for different vehicle types in different operations based on the operation supervision and analysis results in different dimensions. The ranch vehicle operation supervision method in different operation centers is single, and the targetedness and reliability of autonomous management are poor. Summary of the invention

[0004] The purpose of the present invention is to provide a vehicle operation management system and method for a ranch, which is used to solve the technical problems of the single ranch vehicle operation supervision method of different operation centers in the existing solutions and the poor pertinence and reliability of autonomous management.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] A vehicle operation management system for a ranch, comprising a ranch vehicle operation management platform, and a vehicle operation supervision processing module and a vehicle operation analysis management module that are communicatively connected to the ranch vehicle operation management platform;

[0007] The vehicle operation supervision processing module is used to periodically monitor and count the daily operation data of all ranch vehicles in several operation centers in the ranch vehicle operation management platform and implement multi-dimensional operation supervision analysis, obtain the ranch vehicle operation supervision data corresponding to different operation centers and upload it to the ranch vehicle operation management platform in real time;

[0008] Among them, the supervision operation data of all vehicle types corresponding to different operation centers at different supervision time points every day are obtained according to the preset supervision cycle, and the operation supervision analysis of the type operation dimension is performed on the supervision operation data of all vehicle types corresponding to the supervision time points to obtain the type operation supervision sequence corresponding to different operation centers;

[0009] According to the type operation supervision sequence, the operation supervision analysis of the vehicle operation dimension is carried out for different vehicle types at the supervision time point of the operation center to determine whether the type operation supervision sequence of different operation centers is normal, and the data processing and analysis of the stage abnormal operation status corresponding to the stage abnormal vehicle type obtained by the analysis is carried out to obtain the ranch vehicle operation supervision data corresponding to different operation centers;

[0010] The vehicle operation analysis and management module is used to analyze the impact of abnormal operation based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and dynamically manage the operation of all ranch vehicles in different operation centers adaptively based on the analysis results.

[0011] Preferably, the supervision operation data of all vehicle types corresponding to different operation centers at different supervision time points every day are obtained according to a preset supervision cycle, and the operation supervision analysis of the type operation dimension is performed on the supervision operation data of all vehicle types corresponding to the supervision time points;

[0012] The supervision operation data of different vehicle types in different operation centers at the supervision time point are analyzed through the type operation identification function, and the type operation identification YLij of the corresponding vehicle type is output; i is a different operation center, i=1, 2, 3; j is a different vehicle type, j=1, 2, 3, ..., n; n is a positive integer;

[0013] The type operation flag contains a value of 0 or 1, indicating whether the vehicle type operation status of the corresponding operation center is normal or abnormal;

[0014] The type operation identifications obtained by processing all vehicle types at the same operation center at the supervision time point are sorted and combined to obtain the type operation supervision sequence corresponding to the operation center.

[0015] Preferably, the expression of the type operation identification function is Where ZLij is the regulatory operation data corresponding to different vehicle types at the corresponding regulatory time points; Uij is the type operation standard range corresponding to different vehicle types at the corresponding regulatory time points.

[0016] Preferably, when performing operation supervision analysis of the vehicle operation dimension for different vehicle types at the supervision time point of the operation center according to the type operation supervision sequence, the type operation supervision sequence of the operation center is traversed and analyzed for the type operation identifier with a value of 1;

[0017] If there is no type operation identifier with a value of 1 in the type operation supervision sequence, a normal instruction for the type operation stage is generated and prompted;

[0018] If there is a type operation identifier with a value of 1 in the type operation supervision sequence, a type operation phase abnormality instruction is generated, and the corresponding vehicle type is marked as a phase abnormality vehicle type according to the type operation phase abnormality instruction.

[0019] Preferably, when data processing and analysis is performed on the stage abnormal operation state corresponding to the stage abnormal vehicle type according to the type operation stage abnormal instruction, the first stage abnormal operation formula is used. Calculate and obtain the first-stage abnormal operation degree YL1 ij′ corresponding to the stage abnormal operation state; where ZLij′ is the supervision operation data corresponding to the stage abnormal vehicle type at the corresponding supervision time point; ZL0ij′ is the maximum value of the stage abnormal vehicle type at the corresponding type operation standard range at the corresponding supervision time point; αij′ is the first-stage abnormal operation classification value corresponding to the stage abnormal vehicle type; [] is the rounding function.

[0020] Preferably, all single-type vehicles in the abnormal vehicle type are obtained, and the vehicle operation rates of all single-type vehicles at the monitoring time point are obtained, and the vehicle operation rates of all single-type vehicles are compared and classified with the standard vehicle operation rates corresponding to the monitoring time point;

[0021] If the vehicle operation rate is greater than or equal to the standard vehicle operation rate, the corresponding single type vehicle is marked as a normal single type vehicle, and the total number of normal single type vehicles NZij′ is increased by one;

[0022] Otherwise, the corresponding single type vehicle will be marked as an abnormal single type vehicle, and the total number of corresponding abnormal single type vehicles NYij′ will be increased by one.

[0023] Preferably, the total number of normal single-type vehicles and the total number of abnormal single-type vehicles are calculated by the second stage abnormal operation formula Calculate the second stage abnormal operation degree YL2ij′ corresponding to the abnormal operation state of the acquisition stage; where βij′ is the second stage abnormal operation classification value corresponding to the stage abnormal vehicle type;

[0024] The abnormal operation degree of the first stage and the abnormal operation degree of the second stage obtained by calculation are respectively filled with data of the type operation supervision sequence corresponding to the operation center to which they belong, so as to obtain the ranch vehicle operation supervision data corresponding to the operation center.

[0025] Preferably, all types of operation supervision sequences of different operation centers at different monitoring time points are obtained, and operation abnormality impact analysis is performed on different types of operation supervision sequences of different operation centers in turn;

[0026] The total number of all elements in the different types of operation supervision sequences of different operation centers were traversed and analyzed in turn according to the chronological order of the monitoring time points;

[0027] If the total number of elements in the type operation supervision sequence is n, the type operation supervision sequence is marked as a normal type operation supervision sequence;

[0028] If the total number of elements in the type operation supervision sequence is n+2, the type operation supervision sequence is marked as an abnormal type operation supervision sequence.

[0029] Preferably, the first stage abnormal operation degree and the second stage abnormal operation degree in the abnormal type operation supervision sequence are sorted and combined to obtain a target supervision sequence and analyze it;

[0030] If all elements in the target supervision sequence are 0, a minor abnormal operation impact instruction is generated and prompted, and the first vehicle operation management plan is implemented for the vehicle type and operation center to which the target supervision sequence belongs;

[0031] If there is an element with a value of 1 in the target supervision sequence, an abnormal operation severe impact instruction is generated and prompted, and at the same time, a second vehicle operation management plan is implemented for the vehicle type and operation center to which the target supervision sequence belongs.

[0032] A vehicle operation management method for a ranch, comprising:

[0033] Periodically monitor and count the daily operation data of all ranch vehicles in several operation centers in the ranch vehicle operation management platform and implement multi-dimensional operation supervision analysis to obtain the ranch vehicle operation supervision data corresponding to different operation centers and upload it to the ranch vehicle operation management platform in real time;

[0034] The impact of abnormal operation is analyzed based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and the operation of all ranch vehicles in different operation centers is dynamically managed adaptively based on the analysis results.

[0035] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0036] The present invention obtains type operation identifiers corresponding to different vehicle types by performing data calculations on the supervision operation data of different vehicle types in different supervision cycles, which can not only realize the digital representation of the vehicle type operation status of different vehicle types in different supervision cycles, but also provide reliable vehicle type supervision data support for subsequent operation supervision analysis of different vehicle types in vehicle operation dimensions, thereby improving the supervision analysis effect in terms of vehicle types and the subsequent expansion analysis support effect.

[0037] The present invention performs multi-dimensional data processing on the stage abnormal operation status corresponding to the stage abnormal vehicle type obtained by preliminary processing to obtain the corresponding first-stage abnormal operation degree and second-stage abnormal operation degree, and fills the data of the type operation supervision sequence corresponding to the corresponding operation center with the first-stage abnormal operation degree and the second-stage abnormal operation degree obtained by processing, so as to provide reliable multi-dimensional data support for the subsequent operation abnormality impact analysis of the corresponding ranch vehicle operation supervision data of different operation centers, thereby improving the diversity of ranch vehicle operation supervision of different operation centers.

[0038] The present invention analyzes the impact of abnormal operation based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and adaptively and dynamically manages the operation of all ranch vehicles in different operation centers based on the analysis results, thereby realizing targeted vehicle operation management for different vehicle types in different operation centers, and improving the pertinence and reliability of autonomous management of ranch vehicle operations in different operation centers. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 The present invention is a module block diagram of a vehicle operation management system for a ranch.

[0041] Figure 2 It is a flowchart of implementing operation abnormality impact analysis on different types of operation supervision sequences of different operation centers in the present invention.

[0042] Figure 3 The present invention is a flowchart of a vehicle operation management method for a ranch. DETAILED DESCRIPTION

[0043] 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.

[0044] Example 1: Figure 1 As shown, the present invention is a vehicle operation management system for a ranch, comprising a ranch vehicle operation management platform, and a vehicle operation supervision processing module and a vehicle operation analysis management module that are communicatively connected to the ranch vehicle operation management platform;

[0045] The vehicle operation supervision processing module is used to periodically monitor and count the daily operation data of all ranch vehicles in several operation centers in the ranch vehicle operation management platform and implement multi-dimensional operation supervision analysis, obtain the ranch vehicle operation supervision data corresponding to different operation centers and upload it to the ranch vehicle operation management platform in real time; including:

[0046] Obtain the supervision operation data of all vehicle types corresponding to different operation centers at different supervision time points every day according to the preset supervision cycle, and conduct operation supervision analysis of the type operation dimension on the supervision operation data of all vehicle types corresponding to the supervision time points;

[0047] It should be noted that the preset supervision cycle can be determined according to the existing ranch vehicle operation supervision requirements. The unit corresponding to the supervision cycle is hours, and specifically one hour. The supervision operation data specifically refers to the overall vehicle operation rate corresponding to the same vehicle type.

[0048] In addition, there may be three specific operation centers in the embodiment of the present invention, and different operation centers may include several different ranches;

[0049] At the same time, the overall vehicle operation rates of all vehicle types corresponding to different operation centers at different supervision time points every day can be exported separately through the data export function, or all overall vehicle operation rates corresponding to different operation centers can be summarized and exported as a whole;

[0050] The supervision operation data of different types of vehicles in different operation centers at the supervision time point are analyzed through the type operation identification function, and the type operation identification YLij of the corresponding vehicle type is output; i is a different operation center, i=1, 2, 3; j is a different vehicle type, j=1, 2, 3, ..., n; n is a positive integer; wherein the vehicle types include but are not limited to feeding vehicle type, loading vehicle type, pushing vehicle type, sewage suction vehicle type, bed loosening vehicle type, silage reverse vehicle type, loading and unloading forklift type, etc.;

[0051] Among them, the expression of the type operation identification function is In the formula, ZLij is the supervision operation data corresponding to different vehicle types at the corresponding supervision time points; Uij is the type operation standard range corresponding to different vehicle types at the corresponding supervision time points, which can be determined according to the existing ranch vehicle operation requirements;

[0052] It should be noted that the type operation identification is used to perform data calculation on the regulatory operation data of different vehicle types in different regulatory cycles to digitally represent the vehicle type operation status;

[0053] The type operation flag contains a value of 0 or 1, indicating whether the vehicle type operation status of the corresponding operation center is normal or abnormal;

[0054] The type operation identifications obtained by processing all vehicle types of the same operation center at the supervision time point are sorted and combined to obtain the type operation supervision sequence corresponding to the operation center;

[0055] In an embodiment of the present invention, by performing data calculation on the supervision operation data of different vehicle types within different supervision cycles, type operation identifiers corresponding to different vehicle types are obtained, which can not only realize digital representation of the vehicle type operation status of different vehicle types within different supervision cycles, but also provide reliable vehicle type supervision data support for subsequent operation supervision analysis of different vehicle types in vehicle operation dimensions, thereby improving the supervision analysis effect in terms of vehicle types and the subsequent expansion analysis support effect.

[0056] When conducting operation supervision analysis of vehicle operation dimensions for different vehicle types at the supervision time point of the affiliated operation center according to the type operation supervision sequence;

[0057] Traverse and analyze the type operation supervision sequence of the operation center, and the type operation identifier with a value of 1;

[0058] If there is no type operation identifier with a value of 1 in the type operation supervision sequence, a normal instruction for the type operation stage is generated and prompted;

[0059] If there is a type operation identifier with a value of 1 in the type operation supervision sequence, a type operation phase abnormality instruction is generated, and the corresponding vehicle type is marked as a phase abnormality vehicle type according to the type operation phase abnormality instruction;

[0060] And, when the data processing and analysis is performed on the stage abnormal operation state corresponding to the stage abnormal vehicle type according to the type operation stage abnormal instruction, the first stage abnormal operation formula is used Calculate and obtain the first stage abnormal operation degree YL1 ij′ corresponding to the abnormal operation state of the stage; where j′ is the stage abnormal vehicle type, ZLij′ is the supervision operation data corresponding to the stage abnormal vehicle type at the corresponding supervision time point; ZL0ij′ is the maximum value of the stage abnormal vehicle type at the corresponding type operation standard range at the corresponding supervision time point; αij′ is the first stage abnormal operation classification value corresponding to the stage abnormal vehicle type, which can be determined according to the existing ranch vehicle operation requirements, or according to the median of all first stage abnormal operation degrees corresponding to the historical stage abnormal vehicle type; [] is the rounding function;

[0061] It should be noted that the first stage abnormal operation degree is used to calculate the stage abnormal operation data corresponding to different vehicle types at different supervision time points to digitally represent the stage abnormal operation status corresponding to different vehicle types;

[0062] And, all single-type vehicles in the abnormal vehicle type in the stage are obtained, and the vehicle operation rates of all single-type vehicles at the monitoring time point are obtained, and the vehicle operation rates of all single-type vehicles are compared and classified with the standard vehicle operation rates corresponding to the monitoring time point; the standard vehicle operation rates of different single-type vehicles at different monitoring time points can be determined by the specific application demand data of the actual application scenario, and can also be determined according to the median of all vehicle operation rates of different single-type vehicles at different monitoring time points;

[0063] If the vehicle operation rate is greater than or equal to the standard vehicle operation rate, the corresponding single type vehicle is marked as a normal single type vehicle, and the total number of normal single type vehicles NZij′ is increased by one;

[0064] Otherwise, the single type vehicle is marked as an abnormal single type vehicle, and the total number of the corresponding abnormal single type vehicles NYij′ is increased by one;

[0065] It should be noted that by performing data analysis and statistics on the marks corresponding to all individual types of vehicles in the stage abnormal vehicle type, it is possible to perform data analysis on the vehicle operation status corresponding to different individual types of vehicles, and provide reliable individual vehicle operation analysis data support for the subsequent stage abnormal operation status analysis corresponding to the corresponding vehicle type;

[0066] The total number of normal vehicles of a single type and the total number of abnormal vehicles of a single type are calculated through the second stage abnormal operation formula Calculate the second stage abnormal operation degree YL2ij′ corresponding to the abnormal operation state of the acquisition stage; where βij′ is the second stage abnormal operation classification value corresponding to the stage abnormal vehicle type;

[0067] It should be noted that the abnormal operation degree of the second stage is used to calculate the total number of all normal single-type vehicles and the total number of abnormal single-type vehicles in the stage abnormal vehicle type to digitally represent the corresponding stage abnormal operation state;

[0068] The abnormal operation degree of the first stage and the abnormal operation degree of the second stage obtained by calculation are respectively filled with data of the type operation supervision sequence corresponding to the operation center to which they belong, so as to obtain the operation supervision data of the ranch vehicle corresponding to the operation center;

[0069] In the embodiment of the present invention, multi-dimensional data processing is performed on the stage abnormal operation status corresponding to the stage abnormal vehicle type obtained by the preliminary processing to obtain the corresponding first-stage abnormal operation degree and second-stage abnormal operation degree, and the first-stage abnormal operation degree and second-stage abnormal operation degree obtained by the processing are used to fill the data of the type operation supervision sequence corresponding to the corresponding operation center. It can provide reliable multi-dimensional data support for the subsequent operation abnormality impact analysis of the corresponding ranch vehicle operation supervision data of different operation centers, thereby improving the diversity of ranch vehicle operation supervision of different operation centers.

[0070] The vehicle operation analysis and management module is used to analyze the impact of abnormal operation based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and dynamically manage the operation of all ranch vehicles in different operation centers adaptively based on the analysis results; including:

[0071] like Figure 2 As shown, all types of operation supervision sequences of different operation centers at different monitoring time points are obtained, and operation abnormality impact analysis is performed on different types of operation supervision sequences of different operation centers in turn;

[0072] The total number of all elements in the different types of operation supervision sequences of different operation centers were traversed and analyzed in turn according to the chronological order of the monitoring time points;

[0073] If the total number of elements in the type operation supervision sequence is n, the type operation supervision sequence is marked as a normal type operation supervision sequence;

[0074] If the total number of elements in the type operation supervision sequence is n+2, the type operation supervision sequence is marked as an abnormal type operation supervision sequence;

[0075] and, sorting and combining the first-stage abnormal operation degree and the second-stage abnormal operation degree in the abnormal type operation supervision sequence to obtain a target supervision sequence and analyze it;

[0076] If all elements in the target supervision sequence are 0, a minor abnormal operation impact instruction is generated and prompted, and the first vehicle operation management plan is implemented for the vehicle type and operation center to which the target supervision sequence belongs;

[0077] If there is an element with a value of 1 in the target supervision sequence, a severe operation abnormality impact instruction is generated and prompted, and the second vehicle operation management plan is implemented for the vehicle type and operation center to which the target supervision sequence belongs;

[0078] Specifically, the first vehicle operation management plan may be to implement targeted vehicle operation efficiency management for all abnormal single-type vehicles;

[0079] The second vehicle operation management solution may specifically implement comprehensive vehicle operation efficiency management for all individual vehicles of different vehicle types.

[0080] In the embodiment of the present invention, an operation abnormality impact analysis is performed based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and all ranch vehicle operations of different operation centers are adaptively and dynamically managed based on the analysis results, thereby achieving targeted vehicle operation management for different vehicle types in different operation centers, and improving the pertinence and reliability of autonomous management of ranch vehicle operations in different operation centers.

[0081] Example 2: Figure 3 As shown, the present invention is a vehicle operation management method for a ranch, comprising:

[0082] Periodically monitor and count the daily operation data of all ranch vehicles in several operation centers in the ranch vehicle operation management platform and implement multi-dimensional operation supervision analysis to obtain the ranch vehicle operation supervision data corresponding to different operation centers and upload it to the ranch vehicle operation management platform in real time;

[0083] The impact of abnormal operation is analyzed based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and the operation of all ranch vehicles in different operation centers is dynamically managed adaptively based on the analysis results.

[0084] 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.

[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed system and method 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.

[0086] 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.

[0087] 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.

[0088] 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.

[0089] 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. A vehicle operation management system for a ranch, characterized in that: It includes a ranch vehicle operation management platform, and a vehicle operation supervision processing module and a vehicle operation analysis management module that are connected to the ranch vehicle operation management platform in communication; The vehicle operation supervision processing module is used to analyze the supervision operation data of different vehicle types in different operation centers at the supervision time point through the type operation identification function, and output the type operation identification YLij of the corresponding vehicle type; i is a different operation center, i=1, 2, 3; j is a different vehicle type, j=1, 2, 3, ..., n; n is a positive integer; The type operation flag contains a value of 0 or 1, indicating whether the vehicle type operation status of the corresponding operation center is normal or abnormal; Sort and combine the type operation identifiers obtained by processing all vehicle types at the same operation center at the supervision time point to obtain the type operation supervision sequence corresponding to the operation center, and traverse and analyze the type operation identifier with a value of 1 in the type operation supervision sequence; If there is a type operation identifier with a value of 1 in the type operation supervision sequence, a type operation phase abnormality instruction is generated, and the corresponding vehicle type is marked as a phase abnormality vehicle type according to the type operation phase abnormality instruction; When the data processing and analysis of the stage abnormal operation state corresponding to the stage abnormal vehicle type is performed according to the type operation stage abnormal instruction, the first stage abnormal operation formula is used Calculate and obtain the first stage abnormal operation degree YL1ij′ corresponding to the abnormal operation state of the stage; where ZLij′ is the supervision operation data corresponding to the stage abnormal vehicle type at the corresponding supervision time point; ZL0ij′ is the maximum value of the stage abnormal vehicle type at the corresponding type operation standard range at the corresponding supervision time point; αij′ is the first stage abnormal operation classification value corresponding to the stage abnormal vehicle type; [] is the rounding function; Obtain all single-type vehicles in the abnormal vehicle type of the stage, and obtain the vehicle operation rates of all single-type vehicles corresponding to the monitoring time point, and compare and classify the vehicle operation rates of all single-type vehicles with the standard vehicle operation rates corresponding to the monitoring time point; If the vehicle operation rate is greater than or equal to the standard vehicle operation rate, the corresponding single type vehicle is marked as a normal single type vehicle, and the total number of normal single type vehicles NZij′ is increased by one; Otherwise, the single type vehicle is marked as an abnormal single type vehicle, and the total number of the corresponding abnormal single type vehicles NYij′ is increased by one; The total number of normal vehicles of a single type and the total number of abnormal vehicles of a single type are calculated through the second stage abnormal operation formula Calculate the second stage abnormal operation degree YL2ij′ corresponding to the abnormal operation state of the acquisition stage; where βij′ is the second stage abnormal operation classification value corresponding to the stage abnormal vehicle type; The abnormal operation degree of the first stage and the abnormal operation degree of the second stage obtained by calculation are respectively filled with data of the type operation supervision sequence corresponding to the operation center, and the ranch vehicle operation supervision data corresponding to the operation center is obtained and uploaded to the ranch vehicle operation management platform in real time; The vehicle operation analysis and management module is used to analyze the impact of abnormal operation based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and dynamically manage the operation of all ranch vehicles in different operation centers adaptively based on the analysis results.

2. A vehicle operation management system for a ranch according to claim 1, characterized in that: The expression of the type operation identification function is Where ZLij is the regulatory operation data corresponding to different vehicle types at the corresponding regulatory time points; Uij is the type operation standard range corresponding to different vehicle types at the corresponding regulatory time points.

3. A vehicle operation management system for a ranch according to claim 1, characterized in that: If there is no type operation identifier with a value of 1 in the type operation supervision sequence, a normal instruction for the type operation phase is generated and a prompt is given.

4. A vehicle operation management system for a ranch according to claim 1, characterized in that: According to the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, the impact of operation abnormality is analyzed, including: obtaining all types of operation supervision sequences of different operation centers at different monitoring time points, and performing operation abnormality impact analysis on different types of operation supervision sequences of different operation centers in turn; The total number of all elements in the different types of operation supervision sequences of different operation centers were traversed and analyzed in turn according to the chronological order of the monitoring time points; If the total number of elements in the type operation supervision sequence is n, the type operation supervision sequence is marked as a normal type operation supervision sequence; If the total number of elements in the type operation supervision sequence is n+2, the type operation supervision sequence is marked as an abnormal type operation supervision sequence.

5. A vehicle operation management system for a ranch according to claim 4, characterized in that: The first-stage abnormal operation degree and the second-stage abnormal operation degree in the abnormal type operation supervision sequence are sorted and combined to obtain the target supervision sequence and analyze it; If all elements in the target supervision sequence are 0, a minor abnormal operation impact instruction is generated and prompted, and the first vehicle operation management plan is implemented for the vehicle type and operation center to which the target supervision sequence belongs; If there is an element with a value of 1 in the target supervision sequence, an abnormal operation severe impact instruction is generated and prompted, and at the same time, a second vehicle operation management plan is implemented for the vehicle type and operation center to which the target supervision sequence belongs.

6. A vehicle operation management method for a ranch, using a vehicle operation management system for a ranch as claimed in any one of claims 1 to 5, characterized in that: include: Periodically monitor and count the daily operation data of all ranch vehicles in several operation centers in the ranch vehicle operation management platform and implement multi-dimensional operation supervision analysis to obtain the ranch vehicle operation supervision data corresponding to different operation centers and upload it to the ranch vehicle operation management platform in real time; The impact of abnormal operation is analyzed based on the ranch vehicle operation supervision data corresponding to different operation centers at different monitoring time points in the ranch vehicle operation management platform, and the operation of all ranch vehicles in different operation centers is dynamically managed adaptively based on the analysis results.

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