CN113850353B - Excavator side measurement system based on RFID - Google Patents
Excavator side measurement system based on RFID Download PDFInfo
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- CN113850353B CN113850353B CN202111090667.1A CN202111090667A CN113850353B CN 113850353 B CN113850353 B CN 113850353B CN 202111090667 A CN202111090667 A CN 202111090667A CN 113850353 B CN113850353 B CN 113850353B
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- 238000005259 measurement Methods 0.000 title abstract description 14
- 238000000034 method Methods 0.000 claims abstract description 12
- 239000002689 soil Substances 0.000 claims abstract description 8
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000001514 detection method Methods 0.000 claims description 44
- 238000013459 approach Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 239000002893 slag Substances 0.000 claims description 5
- 239000000463 material Substances 0.000 description 6
- 238000010276 construction Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02F—DREDGING; SOIL-SHIFTING
- E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Geophysics And Detection Of Objects (AREA)
- Component Parts Of Construction Machinery (AREA)
Abstract
The invention discloses an excavator side measurement system based on RFID, which belongs to the technical field of excavators and comprises a reader-writer which is arranged on the excavator; the electronic tag uses Radio Frequency Identification (RFID), so that non-contact data communication is realized between the reader-writer and the electronic tag, the purpose of identifying a target is achieved, and the electronic tag is arranged on the soil vehicle; and the processing center reads the electronic tag through the reader-writer, acquires the original data, and pre-processes the original data by utilizing the continuous loading characteristic of the excavator. The electronic tag is read through radio frequency identification by the reader-writer, the original data are obtained, the continuous loading characteristic of the excavator is utilized, the original data are preprocessed, the muck truck is accurately identified, the condition that the excavator is loading the muck truck and counts the loading in a loading period is judged, and meanwhile, the counting is fed back in time and is sent to the cloud platform.
Description
Technical Field
The invention belongs to the technical field of excavators, and particularly relates to an excavator side measurement system based on RFID.
Background
An excavator is also called an excavating machine, and is an earth moving machine that excavates materials higher or lower than a carrying surface with a bucket and loads the materials into a transport vehicle or discharges the materials to a storage yard. The materials excavated by the excavator are mainly soil, coal, silt and soil and rock after pre-loosening. In recent years, development of the construction machine is relatively rapid, and the excavator has become one of the most important construction machines in engineering construction. Three of the most important parameters of an excavator: operating weight (mass), engine power and bucket capacity. When the excavator is operated, the residue soil truck is often required to carry out matched transportation. The current excavator square measurement in the market is mainly supervised and managed by a manual billing mode, and the excavator loading in field construction lacks powerful monitoring, frequently causes actions such as report hiding, report increasing and the like, and brings great losses to projects.
The excavator measurement and control logic as proposed by CN110344467a, the excavator operating cycle is detected and the load sensor senses the physical characteristics of the load being moved during the operating cycle. The position to which the load is moved is also sensed. An amount of material moving over a set of operating cycles is determined, and an action signal is generated to control the excavator based on the calculated amount of material. However, the measurement is only carried out by the posture of the excavator, and the acquisition of the concrete soil loading condition of the excavator by an operator cannot be satisfied. To this end, we propose an RFID-based shovel side metric system to solve the above-mentioned problems.
Disclosure of Invention
The invention aims to provide an excavator square measurement system based on RFID, which aims to solve the problems that the conventional excavator square measurement is proposed in the background technology, supervision and management are mainly carried out by a manual billing mode, powerful monitoring is not available, actions such as report hiding, report increasing and the like often occur, and great losses are brought to projects.
In order to achieve the above purpose, the present invention provides the following technical solutions: an RFID-based excavator side metric system, comprising:
The reader-writer is arranged on the excavator;
The electronic tag uses Radio Frequency Identification (RFID), so that non-contact data communication is realized between the reader-writer and the electronic tag, the purpose of identifying a target is achieved, and the electronic tag is arranged on the soil vehicle;
The processing center reads the electronic tag through the reader-writer, acquires the original data, pre-processes the original data by utilizing the continuous loading characteristic of the excavator, then accurately identifies the muck truck, judges which muck truck the excavator is loading and counts the loading in a loading period, and simultaneously feeds back the count in time and sends the count to the cloud platform.
Preferably, the processing center is arranged in an excavator cab, the processing center also reads vehicle attitude data through an excavator vehicle bus, and the electronic tags are arranged in a plurality and are respectively arranged on four inner side walls of the loading surface of the muck truck.
Preferably, the processing center inputs a plurality of electronic tag IDs through the reader-writer, processes and outputs the ID of the optimal electronic tag, finds out the muck truck corresponding to the tag, and judges the muck truck to be loaded.
Preferably, the processing center presets preset parameters for identifying the muck truck, wherein the parameters comprise the detection window duration of the reader-writer, the metering time period, the frequency for reading the electronic tags, and the time point of the electronic tags which can acquire the number value of each electronic tag, reach the approach condition and reach the departure condition in a single time period
Preferably, the preset parameters further include a single time period, and the number of windows for which the number of times of detection of the a detection windows reaches b times is continuously set; and (3) continuously detecting the number of windows with the number of times of 0 times for c detection windows in a single time period.
Preferably, the processing center performs preliminary processing according to the original data and the preset parameters, and identifies the first three electronic tags with the largest number; in the electronic tags meeting the approach condition, judging which tag is in preference to approach according to a preset time point; judging which tag is preferentially off-site according to a preset time point in the electronic tags meeting the off-site condition; and judging the number of windows of which the number of times of continuous a detection windows reaches b times or 0 times.
Preferably, after the primary processing, the primary data further obtains the identification times, the off-site time sequence, the number of windows reaching the lowest continuous detection times, and the number of windows with the continuous detection times of 0 of the electronic tag.
Preferably, the recognition times, the off-site time sequence, the number of windows with the lowest continuous detection times and the occupation weight of windows with the 0 continuous detection times in the recognition process of the obtained electronic tags are adjusted, so that the single time period optimal tag is output.
Preferably, the method comprises the steps of continuously detecting a plurality of time periods, obtaining the electronic tag with the most optimal tag times as the optimal electronic tag, and outputting the ID of the optimal electronic tag by the processing center.
Preferably, when calculating the amount of the party, the cloud platform needs to judge which muck truck is loading according to the corresponding tag after receiving the ID of the electronic tag reported by the processing center each time, and accumulate one for the loading times of the muck truck, and record the corresponding time.
Compared with the prior art, the invention has the beneficial effects that:
1. Through installing corresponding square measurement device on equipment, the RFID technology automatically realizes that the excavator carries out accurate discernment and square measurement to the dregs car that is loading, finally realizes helping project management side to the scientific management of building site excavation, further realizes discernment, location, tracking, management and control to dregs car.
2. According to the loading characteristics of the excavator, the original data are processed by setting preset parameter values, so that the accuracy of the accurate identification and square measurement of the loaded muck truck by the excavator is improved, the accurate identification and square measurement of the loaded muck truck by the excavator are enabled to be up to 99%.
Drawings
FIG. 1 is a data flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a technical solution: an RFID-based excavator side metric system, comprising:
The reader-writer is arranged in the cab of the excavator;
The electronic tag uses Radio Frequency Identification (RFID), so that non-contact data communication is realized between the reader-writer and the electronic tag, the purpose of identifying a target is achieved, and the electronic tag is arranged on the soil vehicle;
the processing center reads the electronic tag through the reader-writer, acquires the original data, pre-processes the original data by utilizing the continuous loading characteristic of the excavator, then accurately identifies the muck truck, judges which muck truck the excavator is loading and counts the loading in one loading period, and simultaneously feeds back the count in time and sends the count to the cloud platform.
In this embodiment, 2.4G RFID reader-writer and processing center install in the excavator driver's cabin, install active RFID electronic tags on four faces on the dregs car, the reader-writer passes through Radio Frequency Identification (RFID), read electronic tags, and obtain raw data, utilize the continuous loading characteristics of excavator, carry out preliminary treatment to raw data, carry out accurate discernment to dregs car, judge in a loading period is the excavator and is loading for which dregs car and carry out the count to the loading, simultaneously carry out timely feedback and send the calculation to cloud platform with the count.
The excavator can accurately identify and measure the slag car in loading, and the accuracy of the excavator to the slag car in loading is up to 99%
The cloud platform can access and acquire the measurement data of the amount of the square, and the recognition, the positioning, the tracking, the management and the monitoring of the muck truck are realized through RFID, GPS, a mobile network (3G/4G/5G) and the Internet.
The continuous loading characteristics of the excavator comprise loading time and fan-shaped rotation of the excavator.
Specifically, the processing center is arranged in the cab of the excavator, reads vehicle attitude data through the bus of the excavator, and is provided with a plurality of electronic tags which are respectively arranged on the four inner side walls of the loading surface of the muck truck.
In this embodiment, electronic tags set up four to paste respectively and cloth on four inside walls of dregs car, in order to realize the accurate location to dregs car, and the more the electronic tags number that the reader-writer can read, the more accurate to dregs car's position location.
Specifically, the processing center inputs a plurality of electronic tag IDs through the reader-writer, processes and outputs the ID of the optimal electronic tag, finds out the muck truck corresponding to the tag, and judges the muck truck to be loaded.
In this embodiment, since the transmitting power of the reader-writer is proportional to the distance, the larger the power is, the longer the reading distance is, the reader-writer supports the configuration of the power of different gear positions, the reading of different distances is realized, and the distance between the excavator and the loaded muck truck is closest when the excavator is loaded, and the larger the gear number is according to the suitable gear position of the site self-learning, the longer the reading distance is.
Specifically, the processing center presets preset parameters for identifying the slag car, wherein the parameters comprise the detection window duration of the reader-writer, the metering time period, the frequency for reading the electronic tags, and the time point of the electronic tags which can acquire the number value of each electronic tag, reach the approach condition and reach the departure condition in a single time period.
In this embodiment, the values of the preset parameters are set with reference to the relevant experience values.
Related empirical values: experience value of excavator work, time to=3 min when excavator is full of one vehicle; the time period T1=1s of the RFD reader-writer for detecting the tag, and 1min, if the electronic tag is within a reasonable distance, the theoretical detection times should reach 60 times; 5 dregs cars can be parked nearby the digging machine to be queued for loading.
Taking 3min as a measured time period; the detection window duration is set to 10s; the frequency of reading the electronic tag is set to be 1 s/time; because 5 muck trucks are supported near one excavator, the detection quantity of 20 electronic tags can be supported by acquiring 20 numerical values of each electronic tag in a single time period.
The transmitting gear can be adjusted by detecting the number of the electronic tags every 10s, and when the number of the electronic tags read by the reader-writer is larger than 20 calibrated tags, the transmitting power is too high, so that the reader-writer can jump by itself, and the power of the reader-writer is reduced.
The field condition is the reading distance of the electronic tag entering the reader-writer, and the field condition is the reading distance of the electronic tag leaving the reader-writer.
Presetting a time point of the electronic tag reaching the approach condition, namely setting the time length of the electronic tag entering the reading distance, and recognizing the approach of the electronic tag, wherein the time length is adjusted and set according to the excavator and the site condition.
Presetting a time point of the electronic tag reaching the departure condition, namely setting the departure time length of the electronic tag within the distance from the reading distance, and adjusting and setting the departure time length according to the conditions of the excavator and the site.
Specifically, the preset parameters further include a single time period, and the number of windows for which the number of times of detection of the a detection windows reaches b times is continuously counted; and a single time period, wherein the number of windows with the number of times of detection of c detection windows being 0 times is continued.
In this embodiment, a, b, and c are natural numbers and are preset values, and machine learning adjustment can be performed according to specific usage scenarios to improve accuracy, and according to the preset time period 3min and the detection window 10s, a < = 18, b < = 10, c < = 18, i.e. a < = (time period/detection window), c < = (time period/detection window).
Specifically, the processing center performs preliminary processing according to the original data and preset parameters, and identifies the first three electronic tags with the largest number; in the electronic tags meeting the approach condition, judging which tag is in preference to approach according to a preset time point; judging which tag is preferentially off-site according to a preset time point in the electronic tags meeting the off-site condition; and judging the number of windows of which the number of times of continuous a detection windows reaches b times or 0 times.
In this embodiment, corresponding values of the preprocessing are obtained according to the preset parameters and the original data read and written by the reader-writer.
Specifically, after the primary processing, the primary data further obtain the identification times, the off-site time sequence, the number of windows reaching the lowest continuous detection times, and the number of windows with the continuous detection times of 0 of the electronic tag.
In this embodiment, the data is further processed to obtain specific parameters for discriminating the corresponding muck truck.
Specifically, the recognition times, the off-site time sequence, the number of windows with the lowest continuous detection times and the occupation weight of windows with the 0 continuous detection times in recognition processing of the obtained electronic tags are adjusted, so that the optimal electronic tag in a single time period is output.
In the embodiment, the number of the electronic tags can be set to be 30 percent, the proportion of the outgoing sequence is 20 percent, the number of windows with the detection times of 10 detection windows reaching b times continuously for a time is 40 percent, and the number of windows with the detection times of 10s reaching 0 times is 10 percent of the weight proportion, and the optimal label in a single time period is output.
Specifically, the method comprises the steps of continuously detecting for a plurality of time periods, obtaining the electronic tag with the most optimal tag times as the optimal electronic tag, and outputting the ID of the optimal electronic tag by the processing center.
In this embodiment, in the period of continuously detecting k (k is a preset value) for a period of time, the electronic tag with the most number of acquired optimal tags is the optimal electronic tag, and the optimal electronic tag is output through the processing center.
Specifically, when the amount of the party is calculated, after the cloud platform receives the ID of the electronic tag reported by the processing center each time, it is required to determine which muck truck is loading according to the corresponding tag, and accumulate one for the loading times of the muck truck, and record the corresponding time.
In this embodiment, when the equipment of the processing center is installed, the binding relationship between the electronic tag and the vehicle needs to be recorded, so as to judge the loaded slag car.
The working principle and the using flow of the invention are as follows: the 2.4G RFID reader-writer and the processing center are arranged in a cab of the excavator, active RFID electronic tags are arranged on four surfaces of a muck truck, the electronic tags are read through the reader-writer and are acquired original data, the original data are preprocessed by utilizing the continuous loading characteristics of the excavator, the accurate identification is carried out on the muck truck, the identification times, the departure time sequence, the number of windows with the lowest continuous detection times and the number of windows with the lowest continuous detection times are acquired, the weight of the acquired electronic tags in the identification process is adjusted, the identification times, the departure time sequence, the number of windows with the lowest continuous detection times and the number of windows with the number of 0 continuous detection times are acquired, so that a single time period optimal electronic tag is output, a plurality of time periods are continuously detected, the electronic tag with the highest optimal tag times is acquired, the processing center outputs the ID of the optimal electronic tag, and after receiving the ID of the electronic tag reported in each processing, the cloud platform needs to judge which muck truck is loaded on the truck according to the corresponding tag, and meanwhile, the loading time and the corresponding time are accumulated.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. An RFID-based excavator side metric system, characterized by: comprising the following steps:
The reader-writer is arranged in the cab of the excavator;
The electronic tag uses Radio Frequency Identification (RFID), so that non-contact data communication is realized between the reader-writer and the electronic tag, the purpose of identifying a target is achieved, and the electronic tag is arranged on the soil vehicle;
The processing center reads the electronic tag through the reader-writer, acquires original data, pre-processes the original data by utilizing the continuous loading characteristic of the excavator, then accurately identifies the muck truck, judges which muck truck the excavator is loading and counts the loading in a loading period, and simultaneously feeds back the count in time and sends the count to the cloud platform;
The optimal electronic tag in a single time period is output by adjusting the identification times, the field-leaving time sequence, the number of windows reaching the lowest continuous detection times and the occupation weight of the number of windows with the continuous detection times of 0 in the identification process;
The processing center presets preset parameters for identifying the slag car, wherein the parameters comprise detection window duration of the reader-writer, a metering time period, frequency for reading the electronic tags, and time points of the electronic tags which can acquire the number value of each electronic tag, reach the entrance condition and reach the departure condition in a single time period;
The preset parameters further comprise a single time period, and the number of windows for which the number of times of detection of the a detection windows reaches b times is continuously controlled; the number of windows with the detection times of 0 times of c detection windows is continuously controlled in a single time period;
The processing center performs preliminary processing according to the original data and the preset parameters, and identifies the first three electronic tags with the largest number; in the electronic tags meeting the approach condition, judging which tag is in preference to approach according to a preset time point; judging which tag is preferentially off-site according to a preset time point in the electronic tags meeting the off-site condition; and judging the number of windows of which the number of times of continuous a detection windows reaches b times or 0 times.
2. An RFID-based excavator side metric system as claimed in claim 1, wherein: the processing center is arranged in the cab of the excavator, the processing center also reads vehicle attitude data through a bus of the excavator, and the electronic tags are arranged in a plurality and are respectively arranged on the four inner side walls of the loading surface of the muck truck.
3. An RFID-based excavator side metric system as claimed in claim 1, wherein: the processing center inputs a plurality of electronic tag IDs through the reader-writer, processes and outputs the ID of the optimal electronic tag, finds out the muck truck corresponding to the tag, and judges the muck truck to be loaded.
4. An RFID-based excavator side metric system as claimed in claim 1, wherein: after the primary processing, the primary data further obtain the identification times, the field leaving time sequence, the number of windows reaching the lowest continuous detection times and the number of windows with the continuous detection times of 0 of the electronic tag.
5. An RFID-based excavator side metric system as defined in claim 4 wherein: and adjusting the recognition times, the field-leaving time sequence, the number of windows with the lowest continuous detection times and the occupation weight of the number of windows with the 0 continuous detection times in recognition processing of the obtained electronic tags, so as to output the single time period optimal tag.
6. An RFID-based excavator side metric system as defined in claim 5 wherein: and continuously detecting a plurality of time periods, acquiring the electronic tag with the most optimal tag times as the optimal electronic tag, and outputting the ID of the optimal electronic tag by the processing center.
7. An RFID-based excavator side metric system as claimed in claim 1, wherein: when the amount of the square is calculated, after the cloud platform receives the ID of the electronic tag reported by the processing center each time, the cloud platform needs to judge which muck truck is loading according to the corresponding tag, and meanwhile, the loading times of the muck truck are accumulated by one, and the corresponding time is recorded.
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