A fuel consumption efficiency calculation system based on remote monitoring platform

Abstract

The present invention discloses a method for calculating fuel consumption efficiency based on a remote monitoring platform, and the steps are as follows: obtaining various data and fuel quantity data O1 before the platform working timing; establishing a pilot pressure model during the working process to determine the pilot pressure; establishing a working analysis model according to the pilot pressure range to obtain the number of working times; obtaining various data and fuel quantity data O2 at the end of the platform working timing; establishing a production calculation model according to the obtained data to obtain productivity and fuel efficiency; in the present invention, through the fuel consumption efficiency calculation system of the remote monitoring platform, the platform can issue test start and completion instructions, record test time, pilot pressure, fuel usage, and identify work cycle data through platform data, calculate productivity and fuel efficiency and other data, and automatically generate reports, which can support intuitive data reference at any time, thereby greatly improving the work supervision effect.

Description

Technical Field

[0001] The present invention relates to the technical field of fuel consumption efficiency calculation, and in particular to a fuel consumption efficiency calculation system based on a remote supervision platform. Background Art

[0002] The remote control platform is a control system based on communication and network technology. With the reduction of computer hardware costs and the increasing power of functions, remote control systems have begun to tend to use computer network systems. The control methods include four remote monitoring methods: maintenance type, full type, completion type, and human-computer interaction. It has been widely used in hydrology, water conservancy, electricity, mechanical production, military, robots, etc. Remote control technology has a long history and is an important technology in the field of control. Remote control mainly includes: wireless-based remote control and wired-based remote control. Among them, wireless and telephone line remote control are more widely used, mainly because the initial construction time of both is short, and the cost is low in short-term application, and the line maintenance cost is relatively low. With the continuous expansion of the scale of control systems, the on-site environment is becoming more and more complex, the targets that need to be monitored are becoming more and more diverse, the demand for drivers and user interfaces is increasing, and the structure of the monitoring system is becoming more and more decentralized.

[0003] At present, most fuel equipment can only have a simple understanding of the fuel usage during operation, and cannot quickly obtain specific fuel consumption efficiency and productivity, fail to meet the needs of accurate use, and cannot automatically generate reports to provide intuitive data to staff. For this reason, we propose a fuel consumption efficiency calculation system based on a remote supervision platform to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to solve the problems in the prior art that the specific fuel consumption efficiency and productivity cannot be obtained quickly, the demand for accurate use cannot be met, and reports cannot be automatically generated to provide intuitive data to staff. A fuel consumption efficiency calculation system based on a remote supervision platform is proposed.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for calculating fuel consumption efficiency based on a remote monitoring platform, the steps of which are as follows:

[0007] Obtain various data and fuel quantity data O1 before the platform working time;

[0008] Establish the pilot pressure model during the working process and determine the pilot pressure;

[0009] Establish a work analysis model based on the pilot pressure range to obtain the work times;

[0010] Obtain various data and fuel quantity data O2 when the platform working time ends;

[0011] Build a production calculation model based on the data obtained to obtain productivity and fuel efficiency;

[0012] Generate reports on the platform for all records and data for display.

[0013] Preferably, a work analysis model is established according to the pilot pressure range to obtain the working times, and the method is as follows: the arm retraction pilot pressure changes from <30 bar to >30 bar && the bucket retraction pilot pressure changes from <30 bar to >30 bar, which is the excavation process, and the excavation times are A+1;

[0014] The boom lifting pilot pressure changes from <30 bar to >30 bar && the rotation pilot pressure changes from <30 bar to >30 bar, which is the material transportation rotation process, the material transportation times B+1;

[0015] The arm extension pilot pressure changes from <30 bar to >30 bar && the bucket extension pilot pressure changes from <30 bar to >30 bar, which is the unloading process, the unloading times C+1;

[0016] The boom lowering pilot pressure changes from <30 bar to >30 bar, and the swinging pilot pressure changes from <30 bar to >30 bar, which is the return swing process, and the number of returns is D+1.

[0017] Preferably, a production calculation model is established based on the obtained data to obtain productivity and fuel efficiency, and the steps are as follows:

[0018] Identify the excavation-hauling-unloading-return cycle data;

[0019] Take the minimum value among A, B, C, and D as the number of working times T;

[0020] The obtained data is automatically input into the calculation model;

[0021] The productivity can be obtained by calculation;

[0022] Calculate the fuel efficiency.

[0023] Preferably, the method for generating reports and displaying all records and data on the platform is as follows:

[0024] Edit the time configuration file to determine the time for report output;

[0025] Edit the report name configuration file and record the file name of each report;

[0026] Edit the table configuration file;

[0027] Create report format files;

[0028] The report automatic generation module obtains data from the specified real-time database according to the report configuration file, and combines the data with the report format file to form a real report;

[0029] Output reports according to time profiles.

[0030] Preferably, the cyclic data is used to identify the working method:

[0031] Automatically select and identify data objects and select data objects associated with events;

[0032] According to the unified code, the device object associated with the data can be traced back to obtain the inherent attributes, custom rules, value rules and external association characteristics of the object, and the inherent attributes and historical statistical laws can be identified; combined with metadata services, the values ​​of different sources of objects can be found according to the unified code, and the residual error, standard deviation and limit error can be calculated by multi-source data identification, and abnormal data can be eliminated according to the principle of small probability;

[0033] Combine the CIM model and topological relationship to derive the data association of the equipment object data and perform joint calculation and identification;

[0034] According to the attributes of data objects, multiple data quality identification methods are selectively executed in combination to obtain the final comprehensive data identification results.

[0035] A fuel consumption efficiency calculation system based on a remote monitoring platform, comprising:

[0036] Remote control system: used to integrate and control the entire system and collect information;

[0037] Duration recording module: used to record the overall usage time of the system;

[0038] Pilot pressure monitoring system: used to judge and identify the pilot pressure:

[0039] The arm retraction pilot pressure changes from <30 bar to >30 bar && the bucket retraction pilot pressure changes from <30 bar to >30 bar, which is the excavation process, excavation times A+1;

[0040] The boom lifting pilot pressure changes from <30 bar to >30 bar && the rotation pilot pressure changes from <30 bar to >30 bar, which is the material transportation rotation process, the material transportation times B+1;

[0041] The arm extension pilot pressure changes from <30 bar to >30 bar && the bucket extension pilot pressure changes from <30 bar to >30 bar, which is the unloading process, the unloading times C+1;

[0042] The boom lowering pilot pressure changes from <30 bar to >30 bar && the swing pilot pressure changes from <30 bar to >30 bar, which is the return swing process, and the return number is D+1;

[0043] Fuel consumption calculation system: used to calculate working data:

[0044] Identify the excavation-hauling-unloading-return cycle data;

[0045] Take the minimum value among A, B, C, and D as the number of working times T;

[0046] The obtained data is automatically input into the calculation model;

[0047] The productivity is calculated by the computational model;

[0048] The fuel efficiency is calculated by the calculation model;

[0049] Database: used to store data.

[0050] Preferably, the database comprises:

[0051] Real-time data storage unit: used to store the data of the day and provide data support for the data comparison unit;

[0052] Historical data storage unit; used to store historical data and provide data support for the data comparison unit;

[0053] Data comparison unit: used to monitor the change trend by reading the data in the real-time data storage unit and the historical data storage unit;

[0054] Report making unit: used to automatically generate reports, including:

[0055] Report format editing module: used to create report format files;

[0056] Configuration file editing module: used to edit file configuration;

[0057] Table configuration module: used to edit table configuration files;

[0058] Report name configuration module: used to edit the report name configuration file and record the file name of each report;

[0059] Time configuration module: used to edit the time configuration file and determine the time for report output;

[0060] Report automatic generation module: The report automatic generation module is used to obtain data from the specified real-time database according to the report configuration file, and synthesize the data with the report format file into a real report.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] 1. In the present invention, through the fuel consumption efficiency calculation system of the remote supervision platform, the platform can issue test start and completion instructions, record test time, pilot pressure, fuel usage, and identify work cycle data through platform data, calculate productivity and fuel efficiency data, and automatically generate reports, which can support intuitive data reference at any time, thereby greatly improving the work supervision effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a structural schematic diagram of a fuel consumption efficiency calculation method based on a remote monitoring platform proposed by the present invention;

[0064] Figure 2 It is a structural schematic diagram of a method for determining a pilot pressure of a method for calculating fuel consumption efficiency based on a remote monitoring platform proposed by the present invention;

[0065] Figure 3 A flowchart of a method for calculating fuel consumption efficiency based on a remote monitoring platform proposed by the present invention;

[0066] Figure 4 This is a structural schematic diagram of a fuel consumption efficiency calculation system based on a remote monitoring platform proposed by the present invention;

[0067] Figure 5 A schematic diagram of the database structure of a fuel consumption efficiency calculation system based on a remote monitoring platform proposed by the present invention;

[0068] Figure 6 This is a schematic diagram of the structure of a table making unit of a fuel consumption efficiency calculation system based on a remote supervision platform proposed by the present invention. DETAILED DESCRIPTION

[0069] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0070] Reference Figure 1-6 , a fuel consumption efficiency calculation method based on a remote supervision platform, the steps are as follows:

[0071] S1: Obtain various data before the platform working time and fuel quantity data O1;

[0072] S2: Establish a pilot pressure model during the working process and determine the pilot pressure;

[0073] S3: Establish a working analysis model based on the pilot pressure range to obtain the working times. The method is as follows:

[0074] The arm retraction pilot pressure changes from <30 bar to >30 bar && the bucket retraction pilot pressure changes from <30 bar to >30 bar, which is the excavation process, excavation times A+1;

[0075] The boom lifting pilot pressure changes from <30 bar to >30 bar && the rotation pilot pressure changes from <30 bar to >30 bar, which is the material transportation rotation process, the material transportation times B+1;

[0076] The arm extension pilot pressure changes from <30 bar to >30 bar && the bucket extension pilot pressure changes from <30 bar to >30 bar, which is the unloading process, the unloading times C+1;

[0077] The boom lowering pilot pressure changes from <30 bar to >30 bar && the swing pilot pressure changes from <30 bar to >30 bar, which is the return swing process, and the return number is D+1;

[0078] S4: Obtain various data and fuel quantity data O2 when the platform working time ends;

[0079] S5: Establish a production calculation model based on the obtained data to obtain productivity and fuel efficiency. The steps are as follows:

[0080] The method for identifying the excavation-hauling-unloading-return cycle data is as follows:

[0081] Automatically select and identify data objects and select data objects associated with events;

[0082] According to the unified code, the device object associated with the data is traced back to obtain the inherent attributes, custom rules, value rules and external association characteristics of the object, and the inherent attribute identification and historical statistical law identification are carried out;

[0083] Combined with metadata services, the values ​​of different sources of objects can be found according to unified codes, and multi-source data can be used to identify and calculate residual errors, standard deviations, and limit errors. Abnormal data can also be eliminated based on the principle of small probability.

[0084] Combine the CIM model and topological relationship to derive the data association of the equipment object data and perform joint calculation and identification;

[0085] According to the data object attributes, a combination of multiple data quality identification methods is selectively executed to obtain the final comprehensive data identification results;

[0086] Take the minimum value among A, B, C, and D as the number of working times T;

[0087] The obtained data is automatically input into the calculation model;

[0088] The productivity can be obtained by calculation;

[0089] Calculate the fuel efficiency;

[0090] Formula: Productivity = (T*60 / t)*V;

[0091] Fuel efficiency = productivity / fuel consumption value;

[0092] S6: Generate reports on the platform to display all records and data as follows:

[0093] Edit the time configuration file to determine the time for report output;

[0094] Edit the report name configuration file and record the file name of each report;

[0095] Edit the table configuration file;

[0096] Create report format files;

[0097] The report automatic generation module obtains data from the specified real-time database according to the report configuration file, and combines the data with the report format file to form a real report;

[0098] Output reports according to time profiles.

[0099] A fuel consumption efficiency calculation system based on a remote monitoring platform, comprising:

[0100] Remote control system: used to integrate and control the entire system and collect information;

[0101] Duration recording module: used to record the overall usage time of the system;

[0102] Pilot pressure monitoring system: used to judge and identify the pilot pressure:

[0103] The arm retraction pilot pressure changes from <30 bar to >30 bar && the bucket retraction pilot pressure changes from <30 bar to >30 bar, which is the excavation process, excavation times A+1;

[0104] The boom lifting pilot pressure changes from <30 bar to >30 bar && the rotation pilot pressure changes from <30 bar to >30 bar, which is the material transportation rotation process, the material transportation times B+1;

[0105] The arm extension pilot pressure changes from <30 bar to >30 bar && the bucket extension pilot pressure changes from <30 bar to >30 bar, which is the unloading process, the unloading times C+1;

[0106] The boom lowering pilot pressure changes from <30 bar to >30 bar && the swing pilot pressure changes from <30 bar to >30 bar, which is the return swing process, and the return number is D+1;

[0107] Fuel consumption calculation system: used to calculate working data:

[0108] Identify the excavation-hauling-unloading-return cycle data;

[0109] Take the minimum value among A, B, C, and D as the number of working times T;

[0110] The obtained data is automatically input into the calculation model;

[0111] The productivity is calculated by the computational model;

[0112] The fuel efficiency is calculated by the calculation model;

[0113] Database: used to store data;

[0114] The database includes:

[0115] Real-time data storage unit: used to store the data of the day and provide data support for the data comparison unit;

[0116] Historical data storage unit; used to store historical data and provide data support for the data comparison unit;

[0117] Data comparison unit: used to monitor the change trend by reading the data in the real-time data storage unit and the historical data storage unit;

[0118] Report making unit: used to automatically generate reports, including:

[0119] Report format editing module: used to create report format files;

[0120] Configuration file editing module: used to edit file configuration;

[0121] Table configuration module: used to edit table configuration files;

[0122] Report name configuration module: used to edit the report name configuration file and record the file name of each report;

[0123] Time configuration module: used to edit the time configuration file and determine the time for report output;

[0124] Report automatic generation module: The report automatic generation module is used to obtain data from the specified real-time database according to the report configuration file, and synthesize the data with the report format file into a real report.

[0125] An intelligent terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it is used to execute the steps of the above-mentioned method for calculating fuel consumption efficiency based on a remote supervision platform.

[0126] A computer-readable storage medium stores a computer program, which, when executed by a processor, is used to execute the steps of the above-mentioned method for calculating fuel consumption efficiency based on a remote supervision platform.

[0127] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0128] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0129] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A fuel consumption efficiency calculation method based on a remote monitoring platform, characterized in that: The steps are as follows: Obtain various data and fuel quantity data O1 before the platform working time; Establish the pilot pressure model during the working process and determine the pilot pressure; Establish a work analysis model based on the pilot pressure range to obtain the work times; Obtain various data and fuel quantity data O2 when the platform working time ends; Build a production calculation model based on the data obtained to obtain productivity and fuel efficiency; Generate reports on the platform to display all records and data; According to the pilot pressure range, a working analysis model is established to obtain the working times. The method is as follows: The arm retraction pilot pressure changes from <30 bar to >30 bar and the bucket retraction pilot pressure changes from <30 bar to >30 bar, which is the excavation process, and the excavation times are A+1; The boom lifting pilot pressure changes from <30 bar to >30 bar and the swing pilot pressure changes from <30 bar to >30 bar, which is the material transport swing process, and the material transport times are B+1; The arm extension pilot pressure changes from <30 bar to >30 bar and the bucket extension pilot pressure changes from <30 bar to >30 bar, which is the unloading process, and the unloading times are C+1; The boom lowering pilot pressure changes from <30 bar to >30 bar and the swing pilot pressure changes from <30 bar to >30 bar, which is the return swing process, and the return number is D+1; According to the obtained data, a production calculation model is established to obtain productivity and fuel efficiency. The steps are as follows: Identify the excavation-hauling-unloading-return cycle data; Take the minimum value among A, B, C, and D as the number of working times T; The obtained data is automatically input into the calculation model; The productivity is calculated by the computational model; The fuel efficiency is calculated using a computational model.

2. The method for calculating fuel consumption efficiency based on a remote monitoring platform according to claim 1, characterized in that: The method of generating reports and displaying all records and data on the platform is as follows: Edit the time configuration file to determine the time for report output; Edit the report name configuration file and record the file name of each report; Edit the table configuration file; Create report format files; The report automatic generation module obtains data from the specified real-time database according to the report configuration file, and combines the data with the report format file to form a real report; Output reports according to time profiles.

3. The method for calculating fuel consumption efficiency based on a remote monitoring platform according to claim 2 is characterized in that: The method of identifying the loop data is as follows: Automatically select and identify data objects and select data objects associated with events; According to the unified code, the device object associated with the data is traced back to obtain the inherent attributes, custom rules, value rules and external association characteristics of the object, and the inherent attribute identification and historical statistical law identification are carried out; Combined with metadata services, we can find different source values ​​of objects based on unified coding, apply multi-source data identification to calculate residual error, standard deviation and limit error, and eliminate abnormal data based on the principle of small probability; Combine the CIM model and topological relationship to derive the data association of the equipment object data and perform joint calculation and identification; According to the attributes of data objects, multiple data quality identification methods are selectively executed in combination to obtain the final comprehensive data identification results.

4. A fuel consumption efficiency calculation system based on a remote monitoring platform, characterized in that: include: Remote control system: used to integrate and control the entire system and collect information; Duration recording module: used to record the overall usage time of the system; Pilot pressure monitoring system: used to judge and identify the pilot pressure: The arm retraction pilot pressure changes from <30 bar to >30 bar and the bucket retraction pilot pressure changes from <30 bar to >30 bar, which is the excavation process, and the excavation times are A+1; The boom lifting pilot pressure changes from <30 bar to >30 bar and the swing pilot pressure changes from <30 bar to >30 bar, which is the material transport swing process, and the material transport times are B+1; The arm extension pilot pressure changes from <30 bar to >30 bar and the bucket extension pilot pressure changes from <30 bar to >30 bar, which is the unloading process, and the unloading times are C+1; The boom lowering pilot pressure changes from <30 bar to >30 bar and the swing pilot pressure changes from <30 bar to >30 bar, which is the return swing process, and the return number is D+1; Fuel consumption calculation system: used to calculate working data: Identify the excavation-hauling-unloading-return cycle data; Take the minimum value among A, B, C, and D as the number of working times T; The obtained data is automatically input into the calculation model; The productivity is calculated by the computational model; The fuel efficiency is calculated by the calculation model; Database: used to store data.

5. The fuel consumption efficiency calculation system based on the remote monitoring platform according to claim 4 is characterized in that: The database includes: Real-time data storage unit: used to store the data of the day and provide data support for the data comparison unit; Historical data storage unit; used to store historical data and provide data support for the data comparison unit; Data comparison unit: used to monitor the change trend by reading the data in the real-time data storage unit and the historical data storage unit; Report making unit: used to automatically generate reports, including: Report format editing module: used to create report format files; Configuration file editing module: used to edit file configuration; Table configuration module: used to edit table configuration files; Report name configuration module: used to edit the report name configuration file and record the file name of each report; Time configuration module: used to edit the time configuration file and determine the time for report output; Report automatic generation module: The report automatic generation module is used to obtain data from the specified real-time database according to the report configuration file, and synthesize the data with the report format file into a real report.

6. An intelligent terminal, characterized in that: It comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor is used to execute the steps of the fuel consumption efficiency calculation method based on the remote supervision platform as claimed in any one of claims 1 to 3 when executing the program.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, is used to execute the steps of the fuel consumption efficiency calculation method based on a remote supervision platform as described in any one of claims 1 to 3.

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