CN110288151B - Agricultural machinery sharing monitoring system and method based on Internet of things - Google Patents
Agricultural machinery sharing monitoring system and method based on Internet of things Download PDFInfo
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- CN110288151B CN110288151B CN201910550119.9A CN201910550119A CN110288151B CN 110288151 B CN110288151 B CN 110288151B CN 201910550119 A CN201910550119 A CN 201910550119A CN 110288151 B CN110288151 B CN 110288151B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- 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
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
- G05B19/0425—Safety, monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention relates to the technical field of agricultural machinery sharing, in particular to an agricultural machinery sharing monitoring system and method based on the Internet of things, wherein the system comprises a monitoring server, a monitoring server and an engine main end, wherein the monitoring server is used for acquiring running state data of an agricultural machinery in real time; the monitoring server comprises an alarm reminding module, the alarm reminding module is used for sending a reminder to the machine main end when detecting that the agricultural machine is abnormal in operation, the operation abnormality comprises a fault and operation abnormality, the alarm reminding module comprises a fault reminding module and an abnormal operation detection module, and the fault reminding module is used for detecting whether the agricultural machine is faulty according to the operation state data of the agricultural machine. The agricultural machinery sharing monitoring system and method based on the Internet of things can detect the running state of the shared agricultural machinery in real time, notify the machine owner at the first time when the operation state is abnormal, and avoid the loss of the machine owner.
Description
Technical Field
The invention relates to the technical field of agricultural machinery sharing, in particular to an agricultural machinery sharing monitoring system and method based on the Internet of things.
Background
In recent years, with the great development of farmland hosting and land circulation, the demand of agricultural machinery is greatly increased, the large-scale and industrialization of agricultural machinery are promoted, the increase of the social conservation quantity and the acceleration of product upgrading and upgrading are promoted, and meanwhile, the unstable agricultural income caused by the influence of natural disasters is bound to reduce the purchase of the agricultural machinery. Under such circumstances, the cost of purchasing the agricultural machinery at a time is too high for the farmers, the risk of bearing is larger, the farmers prefer to rent the agricultural machinery, in the domestic agricultural machinery industry, such groups or organizations have moved to rent the agricultural machinery during the farming season, but the demand of the agricultural machinery is increased during the same period of time in the farming season, one machine is often hard, and the farmers cannot find suitable agricultural machinery for use in a short time, so that the farming cultivation, quantitative fertilization or rotting of crops in the land are delayed, and larger losses are caused. If a shared library can be established for the agricultural machinery to be rented, a user can know the use condition and the geographical position of the agricultural machinery, reserve in advance, rent and return in a self-service mode, the embarrassing situation of 'people and the like' or 'machines and the like' is solved, the user can conveniently, quickly and economically use the agricultural machinery to operate, and shared resources of the agricultural machinery are really realized. This is a trend in the future of agricultural machinery development, and is also a concrete expression for realizing rural sharing economy. In order to let the owner rent out the agricultural machinery safely and avoid improper use of the agricultural machinery by tenants, a set of scheme is necessary to be developed to monitor the operation state of the agricultural machinery.
Disclosure of Invention
The invention aims to provide an agricultural machinery sharing monitoring system and method based on the Internet of things, which can detect the running state of the shared agricultural machinery in real time, notify an owner at the first time when the operation state is abnormal, and avoid the loss of the owner.
In order to solve the technical problems, the application provides the following technical scheme:
agricultural machinery sharing monitored control system based on thing networking includes:
the monitoring server is used for acquiring the running state data of the agricultural machinery in real time, and is also used for sending the running data of the agricultural machinery to the host end of the agricultural machinery; the monitoring server comprises an alarm reminding module, the alarm reminding module is used for sending a reminder to a machine main end when detecting that the agricultural machine is abnormal in operation, the operation abnormality comprises a fault and an operation abnormality, the alarm reminding module comprises a fault reminding module and an abnormal operation detection module, the fault reminding module is used for detecting whether the agricultural machine is faulty according to operation state data of the agricultural machine, and the abnormal operation detection module is used for comparing operation positions and operation time in a demand sheet corresponding to a lease order with the operation state data of the agricultural machine and further judging whether abnormal operation exists.
According to the technical scheme, the operation state data of the agricultural machinery can be obtained in real time through the monitoring server, whether the agricultural machinery breaks down or has abnormal operation conditions can be judged through the operation state data of the agricultural machinery, and when the occurrence of the fault or the abnormal operation is detected, a prompt can be actively sent to the host end, so that the host can control the operation conditions and the abnormal conditions of the agricultural machinery in real time, loss of the host caused by improper use of tenants is avoided, and meanwhile, the host can be left for convenient subsequent processing.
Further, the operation abnormality comprises a time abnormality, a place abnormality and an oil consumption abnormality, the abnormal operation detection module comprises a time abnormality detection module, a place abnormality detection module and an oil consumption abnormality detection module, the place abnormality detection module is used for judging whether the agricultural machinery works within the operation position range according to the operation position of the leased order and the position of the agricultural machinery, and if not, the place abnormality is judged; the time abnormality detection module is used for judging whether the agricultural machinery works in the non-working time according to the working time of the lease order and the position information of the agricultural machinery, if so, judging that the time abnormality exists; the oil consumption abnormality detection module is used for calculating actual oil consumption according to the position of the agricultural machinery and the agricultural machinery oil quantity information, comparing the actual oil consumption with an oil consumption threshold preset by the system, and judging that the oil consumption abnormality exists if the actual oil consumption is larger than the preset oil consumption threshold.
By judging the oil consumption, the place and the operation time, the actual oil consumption, the operation place and the operation time of the agricultural machinery are compared with the items corresponding to the lease orders, so that whether the corresponding abnormal behavior exists or not is judged, and the operation state of the agricultural machinery can be monitored comprehensively.
The system further comprises a vehicle-mounted monitoring end, wherein the vehicle-mounted monitoring end is used for collecting operation data of the agricultural machinery and comprises a controller, a display, a positioning module, an oil quantity detection module and an image collecting module; the operation state data of the agricultural machinery comprises positioning information, oil quantity information and image data.
The vehicle-mounted monitoring end is used for detecting and collecting operation data of the agricultural machine, the background server can conveniently judge the position and the speed of the agricultural machine by positioning information, then the conditions of faults, position abnormality and operation time abnormality are detected, the oil consumption state of the agricultural machine can be conveniently detected by oil mass information, and an owner can check the operation condition in real time through images by image data, and meanwhile image evidence is reserved.
Further, the system further comprises electronic tags, the electronic tags are arranged in an operation area, the vehicle-mounted monitoring end further comprises a card reader, the vehicle-mounted monitoring end is further used for sending read electronic tag information to a monitoring server, the monitoring server stores position information corresponding to each electronic tag, the monitoring server further comprises a progress monitoring module, and the progress monitoring module is used for calculating the current operation progress according to the electronic tag information sent by the vehicle-mounted monitoring end.
The accurate positioning in the operation area can be realized through the electronic tag, and then the accurate operation progress can be obtained.
Further, the progress monitoring module filters effective electronic tags according to position information corresponding to the electronic tag information, and takes the ratio of the number of the effective electronic tags sent by the vehicle-mounted monitoring end to the number of the electronic tags in the operation range in the lease order as the current operation progress.
The number of the electronic tags is utilized to judge the operation progress, and the method is simple and convenient.
Further, the abnormal operation detection module further comprises a progress alarm module, the progress alarm module is used for predicting operation completion time according to the operation progress detected by the progress monitoring module, the progress alarm module is further used for comparing the operation time of the leasing order with the predicted operation completion time to judge whether the operation can be completed according to the operation time of the leasing order, and if not, the progress alarm module judges that the progress abnormality exists.
By detecting progress abnormality, the job progress of the tenant can be monitored, and the owner or the tenant can conveniently and quickly adjust the progress according to the progress because the job progress relates to the total time of the job and the problem that the lease orders of the follow-up agricultural machinery can be fulfilled on time.
Further, the system further comprises a progress scheduling module, wherein the progress scheduling module is used for automatically adjusting the operation time of the current lease order according to the predicted operation completion time when the progress alarm module detects progress abnormality, adjusting the operation time of the lease order of the current agricultural machine after the current lease order and sending the operation time to a host and a corresponding tenant for confirmation.
And automatically adjusting each lease order condition according to the actual progress of the tenant, and eliminating the need of a machine owner to manually schedule.
Further, the vehicle-mounted monitoring end further comprises a fault detection module, the fault detection module is used for detecting and generating fault detection information, the running state data further comprises the fault detection information, and the fault reminding module detects whether the agricultural machinery is faulty or not according to the fault detection information and the position information of the agricultural machinery.
The fault detection module can further detect faults of all parts of the agricultural machinery, so that the detection is more comprehensive.
Further, the fault detection module comprises a vibration sensor, a rotating speed sensor and a temperature sensor, wherein the vibration sensor, the rotating speed sensor and the temperature sensor are arranged on each transmission shaft of the agricultural machine, and the fault detection information comprises vibration information, rotating speed information and temperature information of each transmission shaft.
Vibration, rotation speed and temperature information are important parameters of various parts of the agricultural machinery, especially the parts such as a transmission shaft, a bearing and the like, when in operation, and the working states of the transmission parts can be reflected through the parameters.
Further, the fault reminding module comprises a vibration abnormality detection module, a rotation speed abnormality detection module, a temperature abnormality detection module and a fault deducing module, wherein the vibration abnormality detection module is used for judging whether vibration abnormality exists according to the change rate of vibration frequency detected by the vibration sensor, if the absolute value of the change rate is larger than a preset threshold value, the rotation speed abnormality detection module is used for judging whether the rotation speed is in a preset range, if not, the temperature abnormality detection module is used for judging whether the temperature is in the preset range, and if not, the fault deducing module is used for judging whether the transmission shaft has faults according to the vibration abnormality, the temperature abnormality and the rotation speed abnormality of each transmission shaft.
When the transmission shaft is abnormal, vibration, rotation speed and temperature of the transmission shaft are changed at the same time, so that whether a certain part is abnormal or not is judged according to the vibration condition, the temperature and the rotation speed, and fault maintenance is facilitated.
The invention also discloses an agricultural machinery sharing monitoring method based on the Internet of things, which uses the agricultural machinery sharing monitoring system based on the Internet of things.
The method can acquire the running state data of the agricultural machinery in real time, judge whether the agricultural machinery breaks down or has abnormal operation conditions according to the running state data of the agricultural machinery, actively send a prompt to the main machine end when the occurrence of the fault or the abnormal operation is detected, and further enable the main machine to master the running condition and the abnormal condition of the agricultural machinery in real time, further avoid loss of the main machine caused by improper use of tenants, and meanwhile, can be reserved for convenient subsequent processing.
Drawings
Fig. 1 is a logic block diagram of an embodiment of an agricultural machinery sharing monitoring system based on the internet of things.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
As shown in fig. 1, the agricultural machinery sharing monitoring system based on the internet of things in this embodiment includes a monitoring server, a tenant end, an owner end, a vehicle-mounted monitoring end and an electronic tag. The monitoring server, the tenant end, the machine owner end and the vehicle-mounted monitoring end are connected through the Internet.
The vehicle-mounted monitoring end is used for collecting operation data of the agricultural machinery, and the operation state data of the agricultural machinery comprise positioning information, oil quantity information, image data and fault detection information. The vehicle-mounted monitoring end comprises a controller, a wireless communication module, a display, a positioning module, an oil quantity detection module, a fault detection module and an image acquisition module; the fault detection module is used for detecting and generating fault detection information, and the fault reminding module is used for detecting whether the agricultural machinery is faulty or not according to the fault detection information and the position information of the agricultural machinery. The fault detection module comprises a vibration sensor, a rotating speed sensor and a temperature sensor, wherein the vibration sensor, the rotating speed sensor and the temperature sensor are arranged on each transmission shaft of the agricultural machine, and the fault detection information comprises vibration information, rotating speed information and temperature information of each transmission shaft. In this embodiment, the controller preferably adopts an STM32 series singlechip, the wireless communication module adopts a 4G mobile communication module, the display preferably adopts an OLED display with resolution ratio of 1080×720, the positioning module adopts a GPS positioning module, and the image acquisition module is a camera.
The monitoring server is used for acquiring the running state data of the agricultural machinery in real time, and is also used for sending the running data of the agricultural machinery to the machine main end; the monitoring server comprises an alarm reminding module, and the alarm reminding module is used for sending a reminder to the machine main end when detecting that the agricultural machine has abnormal operation.
The operation abnormality comprises a fault and operation abnormality, the alarm reminding module comprises a fault reminding module and an abnormal operation detection module, the fault reminding module is used for detecting whether the agricultural machinery breaks down according to the operation state data of the agricultural machinery, and the abnormal operation detection module is used for comparing the operation position and the operation time in the demand list corresponding to the lease order with the operation state data of the agricultural machinery so as to judge whether the abnormal operation exists.
The electronic tags set up in the operation region, and the electronic tags adopts the active electronic tags of long-range RFID, and signal transmission scope is around 10 meters, and on-vehicle monitor still includes the RFID card reader, and on-vehicle monitor still is used for sending the electronic tags information of reading to the monitoring server, has the position information that every electronic tags corresponds in the monitoring server, and the monitoring server still includes progress monitoring module, and progress monitoring module is used for calculating current operation progress according to the electronic tags information that on-vehicle monitor sent. The specific progress monitoring module filters effective electronic tags according to position information corresponding to the electronic tag information, namely only records that the electronic tags, corresponding to the electronic tag information, of which the positions are in the current operation range are effective electronic tags, and takes the ratio of the number of the effective electronic tags sent by the vehicle-mounted monitoring end to the number of the electronic tags in the operation range in the leasing order as the current operation progress.
The abnormal operation detection module comprises a time abnormality detection module, a place abnormality detection module, a fuel consumption abnormality detection module and a progress alarm module, wherein the place abnormality detection module is used for judging whether the agricultural machinery works within a working position range according to the working position of a leased order and the position of the agricultural machinery, and if not, judging that the place abnormality exists; the time abnormality detection module is used for judging whether the agricultural machinery works in the non-working time according to the working time of the lease order and the position information of the agricultural machinery, if so, judging that the time abnormality exists; the oil consumption abnormality detection module is used for calculating actual oil consumption according to the position of the agricultural machinery and the agricultural machinery oil quantity information, comparing the actual oil consumption with an oil consumption threshold preset by the system, and judging that the oil consumption abnormality exists if the actual oil consumption is larger than the preset oil consumption threshold. The progress alarm module is used for predicting the job completion time according to the job progress detected by the progress monitoring module, and is also used for comparing the job time of the leasing order with the predicted job completion time to judge whether the job can be completed according to the job time of the leasing order, if not, judging that the progress abnormality exists
The monitoring server further comprises a progress scheduling module, wherein the progress scheduling module is used for automatically adjusting the operation time of the current lease order according to the predicted operation completion time when the progress alarm module detects progress abnormality, adjusting the operation time of the lease order of the current agricultural machine after the current lease order, and sending the operation time to a host and a corresponding tenant for confirmation.
The fault reminding module comprises a vibration abnormality detection module, a rotating speed abnormality detection module, a temperature abnormality detection module and a fault deducing module, wherein the vibration abnormality detection module is used for judging whether vibration abnormality exists according to the change rate of vibration frequency detected by the vibration sensor, if the absolute value of the change rate is larger than a preset threshold value, the rotating speed abnormality detection module is used for judging whether the rotating speed is in a preset range, if not, the rotating speed abnormality exists, the temperature abnormality detection module is used for judging whether the temperature is in the preset range, and if not, the fault deducing module is used for judging whether the transmission shaft has faults according to the vibration abnormality, the temperature abnormality and the rotating speed abnormality of each transmission shaft.
The embodiment also discloses an agricultural machinery sharing monitoring method based on the Internet of things, which uses the agricultural machinery sharing system based on the Internet of things.
Example two
The difference between the embodiment and the first embodiment is that in the embodiment, the agricultural machine is a rotary cultivator, the fault detection module comprises a rotary tillage detection device, the rotary tillage detection device comprises a detection mechanism, a sampling mechanism and a capacitance detection circuit, the detection mechanism comprises electrode plates arranged between rotary tillage blades, the electrode plates are vertically arranged and fixed on a frame and do not rotate along with the cutter shafts of the rotary tillage blades, the bottoms of the electrode plates are positioned at the lowest position when the rotary tillage blades rotate, the electrode plates are electrically connected with the capacitance detection circuit, and the capacitance detection circuit is in signal connection with a controller; a capacitor is formed between the two electrode plates, and a capacitor detection circuit is used for detecting the size of the capacitor;
a capacitor is formed between the rotary blade and the electrode plate, and the capacitor detection device is used for detecting the size of the capacitor; the sampling mechanism comprises a group of parallel plate capacitors which are arranged at the bottom of the earthing plate of the rotary cultivator, the length of each parallel plate is fixed, the parallel plate capacitors are electrically connected with the capacitance detection circuit, and the capacitance between the parallel plate capacitors is used for collecting the capacitance between the parallel plate capacitors and the capacitance detection circuit to serve as a reference value of the detection mechanism.
The controller is used for recording the change rule of the size of the capacitor, according to the relation between the capacitor and the medium, the size of the capacitor can be influenced by the amount of soil between the electrode plates, the controller can calculate the depth of the soil according to the data of the sampling mechanism as a reference through the size of the capacitor of the detection mechanism, and if the depth is too small, a tenant or an operator can be reminded of regulating the tilling depth through the display.
The softness of the soil can be obtained according to the magnitude and the change of the reference value because the softness of the soil can also influence the magnitude of the capacitor, and then an operator can be reminded of adjusting the rotating speed of the rotary tillage cutter shaft or the advancing speed of the power wheel of the rotary cultivator through a display. The tillage knife rotates, so that the capacitance between the two polar plates changes when the tillage knife rotates to the position between the two polar plates, the data obtained by the detection mechanism changes periodically, the periodic change rule is broken after one tillage knife is broken, and the controller can know that the tillage knife is damaged, so that a signal of the damage of the tillage knife is generated, and the display is used for reminding and sending a corresponding fault signal to the monitoring server. According to the scheme of the embodiment, the functions of breaking detection and alarm of the rotary tillage blade, detection of the tilling softness, tilling depth detection and reminding and the like are realized, and the use of tenants is greatly facilitated.
The foregoing is merely an embodiment of the present invention, the present invention is not limited to the field of this embodiment, and the specific structures and features well known in the schemes are not described in any way herein, so that those skilled in the art will know all the prior art in the field before the application date or priority date, and will have the capability of applying the conventional experimental means before the date, and those skilled in the art may, in light of the teaching of this application, complete and implement this scheme in combination with their own capabilities, and some typical known structures or known methods should not be an obstacle for those skilled in the art to practice this application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (9)
1. Agricultural machinery sharing monitored control system based on thing networking, including the control server, its characterized in that: the monitoring server is used for acquiring the running state data of the agricultural machinery in real time, and is also used for sending the running data of the agricultural machinery to the machine main end; the monitoring server comprises an alarm reminding module, wherein the alarm reminding module is used for sending a reminder to a machine main end when detecting that the agricultural machine is abnormal in operation, the operation abnormality comprises a fault and an operation abnormality, the alarm reminding module comprises a fault reminding module and an abnormal operation detection module, the fault reminding module is used for detecting whether the agricultural machine is faulty according to the operation state data of the agricultural machine, and the abnormal operation detection module is used for comparing the operation position and the operation time in a demand sheet corresponding to a lease order with the operation state data of the agricultural machine to judge whether the operation abnormality exists;
the system comprises an agricultural machine, a vehicle-mounted monitoring end, a control module, a fuel quantity detection module and an image acquisition module, wherein the vehicle-mounted monitoring end is used for acquiring running state data of the agricultural machine and comprises a controller, a display, a positioning module, a fuel quantity detection module and an image acquisition module; the running state data of the agricultural machinery comprises positioning information, oil quantity information and image data;
the agricultural machinery is a rotary cultivator, the fault reminding module comprises a rotary tillage detection device, the rotary tillage detection device comprises a detection mechanism, a sampling mechanism and a capacitance detection circuit, the detection mechanism comprises electrode plates arranged between rotary tillage blades, the electrode plates are vertically arranged and fixed on a frame and do not rotate along with cutter shafts of the rotary tillage blades, the bottoms of the electrode plates are positioned at the lowest position when the rotary tillage blades rotate, the electrode plates are electrically connected with the capacitance detection circuit, and the capacitance detection circuit is in signal connection with a controller; a capacitor is formed between the two electrode plates, and a capacitor detection circuit is used for detecting the size of the capacitor;
a capacitor is formed between the rotary blade and the electrode plate, and a capacitor detection circuit is used for detecting the size of the capacitor; the sampling mechanism comprises a group of parallel plate capacitors which are arranged at the bottom of the earthing plate of the rotary cultivator, the length of each parallel plate is fixed, and the parallel plate capacitors are electrically connected with the capacitor detection circuit and are used for collecting the capacitance between the parallel plate capacitors and the capacitor detection circuit to serve as a reference value of the detection mechanism;
the controller is used for recording the change rule of the capacitance, and according to the data of the sampling mechanism as a reference, the controller calculates the depth of soil through the capacitance of the detection mechanism, and when the depth is too small, a displayer is used for reminding a tenant or an operator of adjusting the tilling depth; the controller is used for reminding an operator to adjust the rotating speed of the rotary tillage cutter shaft or the advancing speed of the power wheel of the rotary cultivator through the display according to the size and the change rule of the capacitor; and the controller is used for generating a signal of the damaged tillage knife when the data obtained by the detection mechanism does not change periodically, reminding the tillage knife through the display and sending a fault signal to the monitoring server.
2. The internet of things-based agricultural machinery sharing monitoring system of claim 1, wherein: the abnormal operation detection module comprises a time abnormality detection module, a place abnormality detection module and a fuel consumption abnormality detection module, wherein the place abnormality detection module is used for judging whether the agricultural machinery works in a working position range according to the working position of a lease order and the position of the agricultural machinery, and if not, judging that the place abnormality exists; the time abnormality detection module is used for judging whether the agricultural machinery works in the non-working time according to the working time of the lease order and the position information of the agricultural machinery, if so, judging that the time abnormality exists; the oil consumption abnormality detection module is used for calculating actual oil consumption according to the position of the agricultural machinery and the agricultural machinery oil quantity information, comparing the actual oil consumption with an oil consumption threshold preset by the system, and judging that the oil consumption abnormality exists if the actual oil consumption is larger than the preset oil consumption threshold.
3. The internet of things-based agricultural machinery sharing monitoring system of claim 2, wherein: the vehicle-mounted monitoring system comprises a vehicle-mounted monitoring end, a monitoring server and a progress monitoring module, wherein the vehicle-mounted monitoring end is used for monitoring the operation of the vehicle-mounted monitoring end, the monitoring server is used for monitoring the operation of the vehicle-mounted monitoring end, the progress monitoring module is used for calculating the current operation progress according to the electronic tag information sent by the vehicle-mounted monitoring end, and the position information corresponding to each electronic tag is stored in the monitoring server.
4. The internet of things-based agricultural machinery sharing monitoring system of claim 3, wherein: the progress monitoring module filters effective electronic tags according to position information corresponding to the electronic tag information, and takes the ratio of the number of the effective electronic tags sent by the vehicle-mounted monitoring end to the number of the electronic tags in the operation range in the lease order as the current operation progress.
5. The internet of things-based agricultural machinery sharing monitoring system of claim 4, wherein: the abnormal operation detection module further comprises a progress alarm module, the progress alarm module is used for predicting operation completion time according to the operation progress detected by the progress monitoring module, the progress alarm module is further used for comparing operation time of the leasing order with the predicted operation completion time to judge whether operation can be completed according to the operation time of the leasing order, and if not, the progress alarm module judges that the progress abnormality exists.
6. The internet of things-based agricultural machinery sharing monitoring system of claim 5, wherein: the system comprises a machine owner and a tenant corresponding to the machine owner, and is characterized by further comprising a progress scheduling module, wherein the progress scheduling module is used for automatically adjusting the operation time of the current lease order according to the predicted operation completion time when the progress alarm module detects progress abnormality, and simultaneously adjusting the operation time of the lease order of the current agricultural machine after the current lease order, and sending the operation time to the machine owner and the tenant corresponding to the machine owner for confirmation.
7. The internet of things-based agricultural machinery sharing monitoring system of claim 2, wherein: the vehicle-mounted monitoring end further comprises a fault detection module, the fault detection module is used for detecting and generating fault detection information, the running state data further comprises the fault detection information, and the fault reminding module detects whether the agricultural machinery breaks down according to the fault detection information and the position information of the agricultural machinery.
8. The internet of things-based agricultural machinery sharing monitoring system of claim 7, wherein: the fault detection module comprises a vibration sensor, a rotating speed sensor and a temperature sensor, wherein the vibration sensor, the rotating speed sensor and the temperature sensor are arranged on each transmission shaft of the agricultural machine, and the fault detection information comprises vibration information, rotating speed information and temperature information of each transmission shaft.
9. The agricultural machinery sharing monitoring method based on the Internet of things is characterized by comprising the following steps of: an agricultural machinery sharing monitoring system based on the internet of things according to any one of claims 1-8 is used.
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| CN110912775B (en) * | 2019-11-26 | 2021-03-16 | 中盈优创资讯科技有限公司 | Internet of things enterprise network fault monitoring method and device |
| CN112229661A (en) * | 2020-09-23 | 2021-01-15 | 芜湖乐佳自动化机械有限公司 | Intelligent agricultural machinery fault detection device |
| CN113358154A (en) * | 2021-06-03 | 2021-09-07 | 广东工业大学 | Agricultural machinery equipment fault monitoring and tracing system and method |
| CN113762767A (en) * | 2021-09-05 | 2021-12-07 | 西北农林科技大学 | Intelligent management method and terminal system for whole course cross-platform agricultural machinery operation of coarse cereal production |
| CN114971438A (en) * | 2022-08-02 | 2022-08-30 | 中国工业互联网研究院 | Industrial equipment monitoring method, device, equipment and medium based on industrial internet |
| CN116300659B (en) * | 2023-05-17 | 2023-07-25 | 北京博创联动科技有限公司 | Cooperative control method and control system for agricultural machinery group |
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| CN107465761A (en) * | 2017-09-09 | 2017-12-12 | 佛山市三水区嘉信农业技术研究院（普通合伙） | Large-scale agricultural machinery monitoring and maintenance management system based on Internet of Things |
| CN108803552A (en) * | 2018-08-31 | 2018-11-13 | 承德建龙特殊钢有限公司 | A kind of the monitoring system and monitoring method of equipment fault |
| CN109919341A (en) * | 2019-01-08 | 2019-06-21 | 贵州大润田农业有限公司 | One kind being based on Android intelligent agricultural equipment monitoring management system and method |
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2019
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015064723A (en) * | 2013-09-25 | 2015-04-09 | 株式会社日立ソリューションズ | Job management system |
| CN107465761A (en) * | 2017-09-09 | 2017-12-12 | 佛山市三水区嘉信农业技术研究院（普通合伙） | Large-scale agricultural machinery monitoring and maintenance management system based on Internet of Things |
| CN108803552A (en) * | 2018-08-31 | 2018-11-13 | 承德建龙特殊钢有限公司 | A kind of the monitoring system and monitoring method of equipment fault |
| CN109919341A (en) * | 2019-01-08 | 2019-06-21 | 贵州大润田农业有限公司 | One kind being based on Android intelligent agricultural equipment monitoring management system and method |
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