CN108363344B - Agricultural machine reliability test method based on cloud network measurement and control system - Google Patents
Agricultural machine reliability test method based on cloud network measurement and control system Download PDFInfo
- Publication number
- CN108363344B CN108363344B CN201711039561.2A CN201711039561A CN108363344B CN 108363344 B CN108363344 B CN 108363344B CN 201711039561 A CN201711039561 A CN 201711039561A CN 108363344 B CN108363344 B CN 108363344B
- Authority
- CN
- China
- Prior art keywords
- test
- time
- video
- data
- oil consumption
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses an agricultural machine reliability test method based on a cloud network measurement and control system, which relates to the technical field of agricultural machine equipment reliability tests, and is a test method of a measurement and control system based on a cloud network technology, an intelligent sensor technology and an intelligent video acquisition and processing technology; the method can realize the acquisition, control and data processing of the whole-course operation data, the equipment operation data and the audio and video data of the key time period in the reliability test process of the agricultural machinery field operation, and realize the whole-course intelligent control of the reliability test of the agricultural machinery.
Description
Technical Field
The invention relates to the technical field of agricultural machinery reliability tests, in particular to an agricultural machinery reliability test method based on a cloud network measurement and control system.
Background
At present, agricultural machinery reliability test methods such as agricultural and forestry tractors, combine harvesters, self-propelled pesticide spraying machines, fertilizing machines, field management operation machines and the like adopt methods of manual on-duty timing and head-tail difference to perform classified statistics and recording on indexes such as field or transportation operation workload, operation time, fuel consumption, fault conditions and the like respectively, and then perform classified statistics and calculation on recorded contents according to the requirements of the test methods to obtain test results; the test method needs to occupy a great deal of effort and time of testers, is large in test investment, long in test time, low in test data accuracy, free of key parameters, accurate and quantitative, needs to be attended all day by the testers, is difficult to distinguish different operation conditions, is inaccurate in classification and statistics of test data and the like, and is very easy to cause deviation in subsequent product reliability index judgment and influence on reliability evaluation of products. Under the current technical background, a method for automatically realizing the intelligent test in the test process and a measurement and control system necessary for realizing the test method are urgently needed to solve the problems in the reliability test.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an agricultural machine reliability test method based on a cloud network measurement and control system, which is used for solving the problems existing in the reliability test and ensuring the automatic data acquisition and the automatic data processing in the whole test process so as to ensure the smooth development of the agricultural machine reliability test.
The agricultural machine reliability test method based on the cloud network measurement and control system solves the problems that a large number of testers are needed to watch and classification statistics of test data information of different field test working conditions are difficult to realize in the agricultural machine product reliability test process, accuracy of automatic classification statistics of test data of reliability tests and information of test faults and the like is achieved, remote measurement and control of test sites are achieved, one tester can manage a plurality of products to perform reliability tests simultaneously, and the dual purposes of improving reliability check precision and improving reliability test efficiency are achieved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the agricultural machine reliability test method based on the cloud network measurement and control system mainly comprises a cloud network-based vehicle-mounted terminal data acquisition control system and a test method for analyzing and processing data acquired by the system, wherein the cloud network-based measurement and control system is used for acquiring running data, operation data and audio and video of key links of an operation process of a tested vehicle and then uploading the data to a cloud network server; the remote control terminal analyzes and processes the data on the cloud server according to a test method to obtain a test conclusion, and stores and backups the running data, the operation track, the audio and video data of the key operation link and the like in the whole test process for later supervision and verification.
The measurement and control system of the agricultural machine reliability test method based on the cloud network measurement and control system mainly comprises three parts, namely a machine tool test terminal, a cloud network server and a remote measurement and control center, wherein the machine tool test terminal is installed on a machine tool to be tested, the remote control center comprises a fixed control center and a mobile terminal which can be connected with the Internet, and the two parts can realize a remote control function and are linked together through a public cloud network to realize data interaction; the test method is mainly realized by special software on a machine tool test terminal PAC (programmable automation controller) control terminal 1-1, a network type vehicle-mounted audio and video processing terminal 2-1, a data cloud network server 4-2, a video cloud network server 4-3, a control center data processing system 3-4 and a mobile terminal App (application program) query control 3-2 which are installed on the machine tool test terminal; the machine tool test terminal mainly formed by the measurement and control system mainly comprises a machine tool test terminal PAC control system 1 and a network type audio and video processing terminal, wherein the machine tool test terminal PAC control system is mainly used for collecting real-time running parameters of a vehicle and mainly comprises an oil consumption collector 1-2, a PTO rotating speed collector 1-3, a GPS vehicle speed distance sensor 1-4, a CAN bus collector 1-5, a data wifi module 1-6 and a human body sensing module 1-7, wherein the oil consumption collector 1-2 is used for measuring the real-time and accumulated oil consumption of a tested machine and judging the oil consumption and the average load efficiency, and the PTO rotating speed sensor 1-3 is used for collecting the operating state of a main power output part of the tested machine and judging the rotating speed of an engine; the GPS vehicle speed and distance sensor is used for measuring parameters such as the working speed, the working distance, the working area, the working track and the like of the tested machine; the CAN bus collector 1-5 is used for collecting running parameters of a starting ECU unit 1-8-1 and an implement ECU unit 1-8-2, including parameters such as rotating speed, oil consumption, temperature, oil quantity, pressure, flow and the like of each main part, the network type audio/video processing system 2 is used for collecting site images and audio information of tested machines and mainly comprises a network type vehicle audio/video processing terminal 2-1, a 1-4 waterproof camera 2-2, a 2-3, a 2-4, a 2-5, a video collecting control module 2-6, a shock-resistant storage device 2-7, a Beidou/GPS receiver 2-8 and an audio/video Wifi module 2-9, wherein the vehicle audio/video processing terminal 2-1 is a master control module, the 1-4 is communicated with the waterproof camera 2-2, 2-3, 2-4 and 2-5 are used for monitoring image information of key parts of the tested machinery, such as the engine, farm tools, a cab and the like; the video acquisition control module 2-6 is used for receiving an instruction of the PAC control terminal 1-1 and controlling the network type vehicle-mounted audio and video processing terminal to execute monitoring, video recording, alarming and other operations according to the requirements of a test method; the shock-proof storage equipment is used for storing audio and video information of a key time period in the operation process on site; the Beidou/GPS receiver is used for measuring parameters such as position, speed and running track, and the audio and video Wifi module is used for data communication between the network type vehicle-mounted audio and video processing terminal 2-1 and the remote control center and the video cloud network server 4-3; the remote control center mainly composed of the measurement and control system mainly comprises a WEB webpage query control 3-1, a mobile terminal App query control 3-2, a computer client query control 3-3, a control center data processing system 3-4 and a large screen display system 3-5, wherein the Web webpage query control 3-1 is a control system based on a WEB browser, and monitoring and control on the tested machine can be realized as long as equipment capable of being connected with the Internet logs in a webpage mode; the mobile terminal App query control 3-2 is a control mode for equipment such as a mobile phone and a tablet; the computer client side query control 3-3 is a query control mode for a PC side; the control center data processing 3-4 is a system for analyzing and processing data collected by each machine tool test terminal and outputting a standard experiment report according to the requirements of a test method, and the large-screen display system 3-5 is arranged in the main control center and is used for displaying parameters such as actual operation images, operation data, finished workload and the like of the controlled remote machine tool test terminal in real time; the cloud network part mainly composed of the measurement and control system comprises an internet access device 4-1, a data cloud network server 4-2 and a video cloud network server 4-3, wherein the internet access device 4-1 realizes data link of each part and can be realized by a fixed network, a Wifi network, a mobile network such as 3G, 4G or a special network; the remote control center can directly access the control machine test terminal through a cloud network, and can also access data of the data cloud network server 4-2 and the video cloud network server 4-3 through the internet access equipment 4-1.
The agricultural machine reliability test method based on the cloud network measurement and control system comprises the following steps:
(1) a machine tool test terminal PAC control system 1 and a remote measurement and control terminal are respectively debugged, a link is established with a cloud network server through Internet access equipment, the machine tool test terminal inputs basic test information such as the model number, serial number, manufacturer, test site and the like of a machine tool according to the number of the test machine tool, and the remote measurement and control terminal receives and processes test data, test information and test video sent by the machine tool test terminal in real time;
(2) starting a test based on the first step, wherein the machine tool test terminal in claim 1 automatically judges the operation state of the machine tool, such as operation mode, idle running, stop, idling and the like in the test process; the method comprises the following steps of (1) discriminating and judging operation shutdown, faults and the like in the test process, manually or automatically recording the faults, and automatically counting the number, types and fault removal time of the faults; automatically counting the operation time, the operation amount, the operation speed, the oil consumption, the total operation time, the troubleshooting time, the downtime and the like according to the effectiveness of the load coefficient and the like;
(3) based on the first step and the second step, the remote measurement and control terminal carries out real-time remote measurement and control on the machine tool test terminal, and storage, query and processing of the acquired data information are completed. And (4) combining the comparison of performance indexes of the test machines before and after the reliability test, performing total analysis on the data, auditing the data, and generating a report. And automatically analyzing and calculating various performance indexes (workload, oil consumption, fault quantity and type, working time, troubleshooting time, downtime, MTTF, MTBF, Q value, effectiveness degree and the like) of the reliability test according to the requirements of the reliability test standard, and processing test data, test information and test video.
The logic of the machine tool test state judgment of the machine tool test terminal PAC is as follows: judging whether the machine is stopped or started or idled according to the rotating speed of the engine and the vehicle speed, and judging the working mode of transportation operation or field operation according to the vehicle speed and the rotating speed of the PTO; the logic for judging the reference quantity of the effective field work operation load coefficient is as follows: judging whether the field operation is effective or not according to 55% of the ratio of the vehicle speed, the PTO rotating speed and the operation power/PTO calibration power, or judging whether the field operation is effective or not according to 55% of the ratio of the vehicle speed, the PTO rotating speed and the operation oil consumption/PTO calibration power oil consumption; the logic for judging the faults of the test machines and the classification statistics is as follows: and judging faults according to the ECU data of the halt, the video information and the complete machine state, and automatically classifying and counting according to the fault types specified by the test method standard.
The main control software of the remote control terminal is compatible with operating systems such as Windows2008Server, Win7 and Win10, and the functions of inquiring, measuring and controlling operation information and video information are realized through mobile terminals such as android and ios systems and web; the machine tool test terminal can effectively measure and control all machine tool test terminals which are being tested through a remote communication port, so that all functions of software operation, software system maintenance and supervision, equipment hardware state monitoring and diagnosis and the like of the machine tool test terminals are realized, and the machine tool test terminal can also be connected with remote measurement and control center equipment to realize functions of interactive communication of characters, images and voice and the like; the system has the functions of data summarization analysis, report generation (format is required by a buyer) and data auditing, and can automatically analyze and calculate various performance indexes (such as workload, oil consumption, fault statistics, working time, troubleshooting time, downtime, MTTF, MTBF, Q value, validity and the like) of a reliability test according to the requirement of a reliability test standard.
The beneficial effect of adopting above technical scheme is: the agricultural machine reliability test method based on the cloud network measurement and control system can realize remote test measurement and control of products such as tractors, combine harvesters and the like which are subjected to reliability tests in different regions, multiple models in a remote measurement and control center, aims to solve the problems that a large number of testers are needed to watch and classification statistics of test data information under different field test working conditions are difficult to realize in the reliability test process of agricultural machine products such as tractors, combine harvesters and the like, realizes automatic classification statistics of information such as test data, test faults and the like and remote measurement and control of a test field, realizes that one tester can manage multiple products to simultaneously perform reliability tests, and achieves the dual purposes of improving reliability check precision and reliability test efficiency.
Drawings
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
FIG. 1 is a technical schematic diagram of a reliability test method for a tractor and a combine harvester;
fig. 2 is a technical schematic diagram of a remote measurement and control system for reliability tests of tractors and combine harvesters.
Detailed Description
The following describes in detail a preferred embodiment of the agricultural machine reliability test method based on the cloud network measurement and control system according to the present invention with reference to the accompanying drawings.
Fig. 1 and fig. 2 show a specific embodiment of the agricultural machine reliability test method based on the cloud network measurement and control system of the invention:
with reference to fig. 1 and 2, the measurement and control system of the agricultural machine reliability test method based on the cloud network measurement and control system mainly comprises three parts, namely a machine tool test terminal, a cloud network server and a remote measurement and control center, wherein the machine tool test terminal is installed on a machine tool to be tested, the remote control center comprises a fixed control center and a mobile terminal which can be connected with the internet, and the two parts are linked together through a public cloud network to realize data interaction; the test method is mainly realized by special software on a machine tool test terminal PAC (programmable automation controller) control terminal 1-1, a network type vehicle-mounted audio and video processing terminal 2-1, a data cloud network server 4-2, a video cloud network server 4-3, a control center data processing system 3-4 and a mobile terminal App (application program) query control 3-2 which are installed on the machine tool test terminal; the machine tool test terminal mainly formed by the measurement and control system mainly comprises a machine tool test terminal PAC control system 1 and a network type audio and video processing terminal, wherein the machine tool test terminal PAC control system is mainly used for collecting real-time running parameters of a vehicle and mainly comprises an oil consumption collector 1-2, a PTO rotating speed collector 1-3, a GPS vehicle speed distance sensor 1-4, a CAN bus collector 1-5, a data wifi module 1-6 and a human body sensing module 1-7, wherein the oil consumption collector 1-2 is used for measuring the real-time and accumulated oil consumption of a tested machine and judging the oil consumption and the average load efficiency, and the PTO rotating speed sensor 1-3 is used for collecting the operating state of a main power output part of the tested machine and judging the rotating speed of an engine; the GPS vehicle speed and distance sensor is used for measuring parameters such as the operation speed, the operation distance, the operation area, the operation track and the like of the tested machine; the CAN bus collector 1-5 is used for collecting running parameters of a starting ECU unit 1-8-1 and an implement ECU unit 1-8-2, including parameters such as rotating speed, oil consumption, temperature, oil quantity, pressure, flow and the like of each main part, the network type audio/video processing system 2 is used for collecting site images and audio information of tested machines and mainly comprises a network type vehicle audio/video processing terminal 2-1, a 1-4 waterproof camera 2-2, a 2-3, a 2-4, a 2-5, a video collecting control module 2-6, a shock-resistant storage device 2-7, a Beidou/GPS receiver 2-8 and an audio/video Wifi module 2-9, wherein the vehicle audio/video processing terminal 2-1 is a master control module, the 1-4 is communicated with the waterproof camera 2-2, 2-3, 2-4 and 2-5 are used for monitoring image information of key parts of the tested machinery, such as the engine, farm tools, a cab and the like; the video acquisition control module 2-6 is used for receiving an instruction of the PAC control terminal 1-1 and controlling the network type vehicle-mounted audio and video processing terminal to execute monitoring, video recording, alarming and other operations according to the requirements of a test method; the shock-proof storage equipment is used for storing audio and video information of a key time period in the operation process on site; the Beidou/GPS receiver is used for measuring parameters such as position, speed and running track, and the audio and video Wifi module is used for data communication between the network type vehicle-mounted audio and video processing terminal 2-1 and the remote control center and the video cloud network server 4-3; the remote control center mainly composed of the measurement and control system mainly comprises a WEB webpage query control 3-1, a mobile terminal App query control 3-2, a computer client query control 3-3, a control center data processing system 3-4 and a large screen display system 3-5, wherein the Web webpage query control 3-1 is a control system based on a WEB browser, and monitoring and control on the tested machine can be realized as long as equipment capable of being connected with the Internet logs in a webpage mode; the mobile terminal App query control 3-2 is a control mode for equipment such as a mobile phone and a tablet; the computer client side query control 3-3 is a query control mode for a PC side; the control center data processing 3-4 is a system for analyzing and processing data collected by each machine tool test terminal and outputting a standard experiment report according to the requirements of a test method, and the large-screen display system 3-5 is arranged in the main control center and is used for displaying parameters such as actual operation images, operation data, finished workload and the like of the controlled remote machine tool test terminal in real time; the cloud network part mainly composed of the measurement and control system comprises an internet access device 4-1, a data cloud network server 4-2 and a video cloud network server 4-3, wherein the internet access device 4-1 realizes data link of each part and can be realized by a fixed network, a Wifi network, a mobile network such as 3G, 4G or a special network; the remote control center can directly access the control machine tool test terminal through a cloud network, and can also access data of the data cloud network server 4-2 and the video cloud network server 4-3 through the Internet access equipment 4-1.
The agricultural machine reliability test method based on the cloud network measurement and control system comprises the following steps:
(1) respectively debugging a machine tool test terminal PAC control system 1 and a remote measurement and control terminal, establishing a link with a cloud network server through internet access equipment, inputting basic test information such as the model number, serial number, manufacturer, test site and the like of a machine tool by the machine tool test terminal according to the number of the test machine tool, and receiving and processing test data, test information and test video sent by the machine tool test terminal by the remote measurement and control terminal in real time;
(2) based on the first step, starting a test, wherein the machine tool test terminal disclosed by claim 1 automatically judges the operation states of the machine tool, such as operation modes, idle running, stop, idling and the like in the test process; discriminating and judging operation shutdown, faults and the like in the test process, manually or automatically recording the faults, and automatically counting the number, types and fault removal time of the faults; automatically counting the operation time, the operation amount, the operation speed, the oil consumption, the total operation time, the troubleshooting time, the downtime and the like according to the effectiveness of the load coefficient and the like;
(3) based on the first step and the second step, the remote measurement and control terminal carries out real-time remote measurement and control on the machine tool test terminal, and storage, query and processing of the acquired data information are completed. And (4) combining the comparison of performance indexes of the test machines before and after the reliability test, performing total analysis on the data, auditing the data, and generating a report. And automatically analyzing and calculating various performance indexes (workload, oil consumption, fault quantity and type, working time, troubleshooting time, downtime, MTTF, MTBF, Q value, validity and the like) of the reliability test according to the requirements of the reliability test standard, and processing test data, test information and test video.
The distributed acquisition of test data information and the like and the centralized processing of test results are stipulated, but performance tests of a test machine before and after the test are not included. The remote measurement and control terminal realizes remote test measurement and control on test machines and tools such as tractors, combine harvesters and the like which are in reliability tests in different regions, multiple models and the like, and realizes storage, query and processing of data information acquired by the machine and tool test terminal, thereby completing reliability tests and assessments.
The logic of the machine tool test state judgment of the machine tool test terminal PAC is as follows: judging whether the machine is stopped or started or idled according to the rotating speed of the engine and the vehicle speed, and judging the working mode of transportation operation or field operation according to the vehicle speed and the rotating speed of the PTO; the logic for judging the reference quantity of the effective field work operation load coefficient is as follows: judging whether the field operation is effective or not according to 55% of the ratio of the vehicle speed, the PTO rotating speed and the operation power/PTO calibration power, or judging whether the field operation is effective or not according to 55% of the ratio of the vehicle speed, the PTO rotating speed and the operation oil consumption/PTO calibration power oil consumption; the logic for judging the faults of the test machines and the classification statistics is as follows: and judging faults according to the ECU data of the halt, the video information and the complete machine state, and automatically classifying and counting according to fault types specified by the test method standard. The main judgment process is shown in the following table:
the main control software of the remote control terminal is compatible with operating systems such as Windows2008Server, Win7 and Win10, and the functions of inquiring, measuring and controlling operation information and video information are realized through mobile terminals such as android and ios systems and web; the machine tool test terminal can effectively measure and control all machine tool test terminals which are being tested through a remote communication port, so that all functions of software operation, software system maintenance and supervision, equipment hardware state monitoring and diagnosis and the like of the machine tool test terminals are realized, and the machine tool test terminal can also be connected with remote measurement and control center equipment to realize functions of interactive communication of characters, images and voice and the like; the system has the functions of data summarization analysis, report generation (format is required by a buyer) and data auditing, and can automatically analyze and calculate various performance indexes (such as workload, oil consumption, fault statistics, working time, troubleshooting time, downtime, MTTF, MTBF, Q value, validity and the like) of a reliability test according to the requirement of a reliability test standard.
The agricultural machine reliability test method based on the cloud network measurement and control system realizes remote real-time measurement and control of the geographic position, the operation state and the like of the tested machine, and acquisition, statistics, analysis and result processing of test data information. The reliability test method for the remote management control tractor and the combine harvester, which is provided by the agricultural machine reliability test method based on the cloud network measurement and control system, solves the problems that a large number of testers need to watch and classification statistics of test data information of different field test working conditions are difficult to realize in the reliability test process of agricultural machine products such as the tractor and the combine harvester, realizes automatic classification statistics of information such as test data and test faults and the like and remote measurement and control of a test field, realizes that one tester can manage a plurality of products to perform reliability tests simultaneously, and achieves the dual purposes of improving reliability check precision and improving reliability test efficiency.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, many variations and modifications can be made without departing from the inventive concept of the present invention, which falls into the protection scope of the present invention.
Claims (3)
1. A reliability test method for agricultural machinery based on a cloud network measurement and control system is characterized by comprising the following steps: the measurement and control system of the agricultural machine reliability test method based on the cloud network measurement and control system mainly comprises an implement test terminal, a cloud network server and a remote measurement and control center, wherein the implement test terminal is installed on a tested implement, the remote measurement and control center comprises a fixed control center and a mobile terminal which can be connected with the Internet, and the two parts are linked together through a public cloud network to realize data interaction; the test method is realized by special software on a machine tool test terminal PAC control terminal, a network type vehicle-mounted audio and video processing terminal, a data cloud network server, a video cloud network server, a control center data processing terminal and a mobile terminal App query control which are arranged on the machine tool test terminal; wherein: the machine tool test terminal PAC control system is mainly used for collecting real-time running parameters of a tested machine and comprises an oil consumption collector, a PTO rotating speed collector, a GPS vehicle speed distance sensor, a CAN bus collector, a data wifi module and a human body induction module, wherein the oil consumption collector is used for measuring the real-time and accumulated oil consumption of the tested machine and judging the oil consumption and the average load efficiency, and the PTO rotating speed sensor is used for collecting the operating state of a main power output part of the tested machine and judging the rotating speed of an engine; the GPS vehicle speed and distance sensor is used for measuring the parameters of the operation speed, the operation distance, the operation area and the operation track of the tested machine; the CAN bus collector is used for collecting the operating parameters of an engine ECU unit and an implement ECU unit, and comprises rotating speed, oil consumption, temperature, oil quantity, pressure and flow parameters of all main parts, the network type audio and video processing system is used for collecting site images and audio information of tested machines and mainly comprises a network type vehicle-mounted audio and video processing terminal, a waterproof camera, a video collecting control module, a shock-resistant storage device, a Beidou/GPS receiver and an audio and video Wifi module, wherein the network type vehicle-mounted audio and video processing terminal is a main control module, and the waterproof camera is used for monitoring the image information of the positions of an engine, farm implements and a cab of the tested machines; the video acquisition control module is used for receiving an instruction of a PAC control terminal and controlling the network type vehicle-mounted audio and video processing terminal to perform monitoring, video recording and alarming operations according to the requirements of a test method; the shock-proof storage equipment is used for storing audio and video information of a key time period in the operation process on site; the Beidou/GPS receiver is used for measuring position, speed and running track parameters, and the audio and video Wifi module is used for data communication between the network type vehicle-mounted audio and video processing terminal and the remote control center and the video cloud network server; the remote measurement and control center of the measurement and control system consists of a WEB webpage query control system, a mobile terminal App query control system, a computer client query control system, a control center data processing system and a large screen display system, wherein the Web webpage query control system is a control system based on a WEB browser, and monitoring and control on the tested machine can be realized as long as equipment capable of being connected with the Internet logs in a webpage mode; the mobile terminal App query control is a control mode for a mobile phone and a tablet device; the computer client side query control is a query control mode for a PC side; the control center data processing is a system for analyzing and processing data acquired by each machine tool test terminal and outputting a standard experiment report according to the requirements of a test method, and the large-screen display system is arranged in the main control center and is used for displaying the actual operation image, the operation data and the completed workload parameters of the controlled remote machine tool test terminal in real time; the cloud network server of the measurement and control system comprises internet access equipment, a data cloud network server and a video cloud network server, wherein the internet access equipment realizes data link of each part and is realized by a fixed network, a Wifi network, a 3G network, a 4G network or a special network; the remote measurement and control center directly accesses the control machine tool test terminal through a cloud network or accesses data of a data cloud network server and a video cloud network server through internet access equipment;
the logic of the machine tool test terminal PAC for judging the test state of the tested machine tool is as follows: judging whether to stop or start or idle according to the rotating speed of the engine and the vehicle speed; judging the working mode of transportation operation or field operation according to the vehicle speed and the PTO rotating speed; the logic for judging the reference quantity of the effective field work operation load coefficient is as follows: judging whether the field operation is effective or not according to 55% of the ratio of the vehicle speed, the PTO rotating speed and the operation power/PTO calibration power, or judging whether the field operation is effective or not according to 55% of the ratio of the vehicle speed, the PTO rotating speed and the operation oil consumption/PTO calibration power oil consumption; the logic for judging the faults of the test machines and the classification statistics is as follows: judging faults according to the ECU data of the halt, the video information and the whole machine state, and automatically classifying and counting according to fault types specified by a test method standard;
the specific judgment process is as follows:
idle time of engine: the time and the oil consumption of the working condition are required to be counted; the critical judgment conditions are set as follows: measuring engine oil consumption G Oil consumption Not equal to 0, running speed n Wheel Not equal to 0; the realization process is as follows: starting a testing machine, starting a testing software program, automatically entering an idle mode when the critical condition is reached, simultaneously starting video monitoring, and continuously inquiring after delaying for 3min until normal, fault or maintenance is manually selected, otherwise, still operating according to the original mode;
idle running operation time: the walking time of the tested machine from the station to the ground without field operation is required, the working time is counted, the time and the oil consumption are counted, and the working time is converted into the working time of 1h according to the idle running time of 5 h; the critical judgment conditions are set as follows: measuring engine oil consumption G Oil consumption Not equal to 0, running speed n Wheel Not equal to 0; the realization process is as follows: when the critical condition is reached, the test program automatically enters an idle operation mode;
load operation time: accumulating the time from the beginning to the end of the field operation, and recording the date, the type of the field operation, the load coefficient, the average hour oil consumption, the total oil consumption, the working gear and the operation time; calculating the load coefficient at any time in the program, counting the operation shift of other projects, and counting all the projects according to standard regulations after all the tests are finished; the turning time of the ground, the load operation time, the statistical time and the oil consumption are counted; the critical judgment conditions are set as follows: when measuring the oil consumption G of the engine Oil consumption Not equal to 0, running speed n Wheel Not equal to 0, reminding that the load coefficient reaches 30%; the realization process is as follows: 1. entering a field and idle running mode, and manually selecting to start the field operation mode when the critical condition is reached and the load coefficient is more than or equal to 30 percent and is a large load coefficient to remind whether to enter the field operation mode; in field operation mode, when the field is in a field working modeWhen the critical condition is reached, and the load coefficient is less than 30%, the low load coefficient is used for reminding, and whether the field operation is finished or not is selected; 2. when the field operation is started, the video monitoring is automatically started, and the video monitoring is closed after 10min of delay;
the shutdown time is as follows: requiring statistical downtime; the critical judgment conditions are set as follows: measuring engine oil consumption G Oil consumption 0, running speed n Wheel 0; the realization process is as follows: when the critical condition is reached, the program automatically enters a shutdown mode, and automatically starts video monitoring, the video monitoring has a video identification function, and during the normal shutdown period, the video is shot for 0.5min every 10min and stored until the next operation is started;
working time and maintenance time for fault repair: counting the sum of the time for judging, repairing and debugging the fault, and recording the fault and the time, wherein the time for artificial or natural delay is not included; counting the maintenance time of each level, wherein the maintenance time does not include artificial or natural delay time; the critical judgment conditions are set as follows: measuring engine oil consumption G Oil consumption 0, running speed n Wheel 0; the realization process is as follows: in a shutdown mode, automatically starting video monitoring, wherein if the tractor vibrates and moves objects, the video monitoring can automatically recognize, capture and shoot, and simultaneously send an instruction to enable a test program to automatically start a fault repair mode or a maintenance mode for selection; and under the shutdown mode, if the test program automatically starts the fault repair mode or the maintenance mode for selection, and if the test program does not select the fault repair mode, the test program automatically carries out statistics according to the fault repair mode.
2. The agricultural machine reliability test method based on the cloud network measurement and control system according to claim 1, wherein: the agricultural machine reliability test method based on the cloud network measurement and control system comprises the following steps:
firstly, respectively debugging a machine tool test terminal and a remote measurement and control center, establishing a link with a cloud network server through Internet access equipment, inputting the model, the serial number, the manufacturer and the test site of a machine tool by the machine tool test terminal according to the number of the test machine tool, and receiving and processing test data, test information and test video sent by the machine tool test terminal in real time by the remote measurement and control center;
secondly, starting a test based on the step one, wherein the machine tool test terminal automatically judges the operation mode, the idle running, the shutdown and the idle speed; judging and judging operation shutdown and faults in the test process, manually or automatically recording the faults, and automatically counting the number, types and fault removal time of the faults; automatically counting the operation time, the operation amount, the operation speed, the oil consumption, the total operation time, the troubleshooting time and the downtime according to the effectiveness of the load coefficient;
thirdly, based on the first step and the second step, the remote measurement and control center carries out real-time remote measurement and control on the machine tool test terminal to finish storage, query and processing of the acquired data information; the data are subjected to total analysis and data audit and report generation by combining the comparison of performance indexes of the test machines before and after the reliability test; and automatically analyzing and calculating various performance indexes of the reliability test according to the requirements of the reliability test standard, and processing the test data, the test information and the test video.
3. The agricultural machine reliability test method based on the cloud network measurement and control system according to claim 1, wherein: the main control software of the measurement and control system is compatible with Windows2008Server, Win7 and Win10 operating systems, and the functions of inquiring and measuring and controlling the operation information and the video information are realized through an android system, an ios system and a web; the machine tool test terminal can be linked with a remote measurement and control center device to realize the interactive communication function of characters, images and voice; the system has the functions of data summarization analysis, report generation and data auditing, and can automatically analyze and calculate various performance indexes of the reliability test according to the requirements of the reliability test standard.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711039561.2A CN108363344B (en) | 2017-10-24 | 2017-10-24 | Agricultural machine reliability test method based on cloud network measurement and control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711039561.2A CN108363344B (en) | 2017-10-24 | 2017-10-24 | Agricultural machine reliability test method based on cloud network measurement and control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108363344A CN108363344A (en) | 2018-08-03 |
| CN108363344B true CN108363344B (en) | 2022-09-02 |
Family
ID=63010105
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711039561.2A Active CN108363344B (en) | 2017-10-24 | 2017-10-24 | Agricultural machine reliability test method based on cloud network measurement and control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108363344B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112651593B (en) * | 2020-11-30 | 2023-04-18 | 东北农业大学 | Agricultural unit operation parameter testing and analysis decision-making system and method based on Beidou system |
| CN113341902B (en) * | 2021-06-25 | 2023-01-13 | 中国科学院重庆绿色智能技术研究院 | Design method and system for balance production line |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6073428A (en) * | 1997-09-13 | 2000-06-13 | Claas Selbstfahrende Erntemaschinen Gmbh | Device for regulating drive engine power output |
| US6349252B1 (en) * | 1999-04-15 | 2002-02-19 | Komatsu Ltd. | Information management device for construction machinery |
| CN101115649A (en) * | 2005-02-23 | 2008-01-30 | 丰田自动车株式会社 | Power output device, control method for the same, and vehicle equipped therewith |
| CN102589898A (en) * | 2012-02-17 | 2012-07-18 | 山东省农业机械科学研究所 | Test load for counter balanced fork lift truck |
| CN202720500U (en) * | 2012-06-18 | 2013-02-06 | 福田雷沃国际重工股份有限公司 | Agricultural machinery integrated electrical control device |
| CN103625462A (en) * | 2013-08-01 | 2014-03-12 | 河南科技大学 | Method for controlling energy-saving series-connection hybrid power tractor |
| CN106468619A (en) * | 2016-09-20 | 2017-03-01 | 山东省农业机械科学研究院 | The device that crushes of safety unit of tractor intensity test bench |
| CN107000607A (en) * | 2014-12-08 | 2017-08-01 | 日产自动车株式会社 | Brake force driving-force control apparatus and brake force driving force control method |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103297746A (en) * | 2012-02-24 | 2013-09-11 | 上海庞源机械租赁股份有限公司 | Remote wireless audio/ video monitoring and fault diagnosis and rechecking system for engineering machine |
| CN102722165A (en) * | 2012-06-27 | 2012-10-10 | 上海海事大学 | Reliability test remote monitoring system |
| CN204557119U (en) * | 2015-03-27 | 2015-08-12 | 广西田园生化股份有限公司 | The control system that a kind of farm equipment runs |
| CN104865874B (en) * | 2015-05-15 | 2017-10-13 | 山东省计算中心（国家超级计算济南中心） | The management method of intelligent agricultural machinery system based on Beidou navigation |
| CN205880610U (en) * | 2016-08-01 | 2017-01-11 | 郑州豪威尔电子科技股份有限公司 | Farm machinery remote monitoring device |
| CN206322048U (en) * | 2016-12-29 | 2017-07-11 | 四川省农业机械研究设计院 | Corp combine-harvester torsion load test control system |
-
2017
- 2017-10-24 CN CN201711039561.2A patent/CN108363344B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6073428A (en) * | 1997-09-13 | 2000-06-13 | Claas Selbstfahrende Erntemaschinen Gmbh | Device for regulating drive engine power output |
| US6349252B1 (en) * | 1999-04-15 | 2002-02-19 | Komatsu Ltd. | Information management device for construction machinery |
| CN101115649A (en) * | 2005-02-23 | 2008-01-30 | 丰田自动车株式会社 | Power output device, control method for the same, and vehicle equipped therewith |
| CN102589898A (en) * | 2012-02-17 | 2012-07-18 | 山东省农业机械科学研究所 | Test load for counter balanced fork lift truck |
| CN202720500U (en) * | 2012-06-18 | 2013-02-06 | 福田雷沃国际重工股份有限公司 | Agricultural machinery integrated electrical control device |
| CN103625462A (en) * | 2013-08-01 | 2014-03-12 | 河南科技大学 | Method for controlling energy-saving series-connection hybrid power tractor |
| CN107000607A (en) * | 2014-12-08 | 2017-08-01 | 日产自动车株式会社 | Brake force driving-force control apparatus and brake force driving force control method |
| CN106468619A (en) * | 2016-09-20 | 2017-03-01 | 山东省农业机械科学研究院 | The device that crushes of safety unit of tractor intensity test bench |
Non-Patent Citations (2)
| Title |
|---|
| Test Rig Design and Development for Linear Bearings in Direct Drive Generators;Caraher S L;《Universities Power Engineering Conference》;20121231;全文 * |
| 使用条件下农业机械可靠性分析及评定;王书全;《农业机械学报》;19901231;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108363344A (en) | 2018-08-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106054796B (en) | A kind of sewage treatment plant's monitoring system and method based on high in the clouds | |
| CN106708017B (en) | Vehicle fault real-time monitoring and service system and monitoring method thereof | |
| CN105573296A (en) | Hardware-in-loop-based automation test system for automobile diagnosis, and method thereof | |
| CN107037800B (en) | Fault diagnosis method based on remote fault diagnosis system of client-side oxygen generating equipment | |
| CN105512949A (en) | Culturing farm informationized management system based on social platform and method thereof | |
| CN105051781A (en) | Machine-vision system and method for remote quality inspection of a product | |
| CN108363344B (en) | Agricultural machine reliability test method based on cloud network measurement and control system | |
| CN103135515A (en) | Diagnostic method for vehicle condition | |
| CN104267714B (en) | Orbit satellite attitude control system test and system detection method | |
| US20160203445A1 (en) | Work order integration and equipment status tracking | |
| CN112651593B (en) | Agricultural unit operation parameter testing and analysis decision-making system and method based on Beidou system | |
| CN110941558B (en) | Intelligent office remote operation and maintenance method and system | |
| CN115586009A (en) | Fault diagnosis and health management system and method | |
| CN202854576U (en) | Automobile production line data management system | |
| CN104408919A (en) | Manual road traffic parameter investigation system based on mobile intelligent terminal | |
| CN114326668A (en) | Auxiliary diagnosis and analysis device for automobile vibration noise fault | |
| DE102018216240A1 (en) | SENSOR DIAGNOSTIC PROCEDURE | |
| CN116596484A (en) | Intelligent management method and system for assembled building construction | |
| CN116724755A (en) | Impulse type grain sensor output monitoring test bed system | |
| CN106774245A (en) | Nuclear power station security level I ＆C equipment passage stability automatization test system and method | |
| Li et al. | Agricultural machinery information collection and operation based on data platform | |
| CN113592110A (en) | Agricultural machinery remote maintenance system and method, agricultural machinery terminal, storage medium and electronic equipment | |
| CN114091896A (en) | Agricultural machinery running state analysis method | |
| DE102020127609A1 (en) | SYSTEM FOR PREDICTING EMISSIONS OF AN ENGINE | |
| CN203490697U (en) | Data collecting system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |