CN108595610A - A kind of electri forklift operating mode visualization system based on Internet of Things - Google Patents

A kind of electri forklift operating mode visualization system based on Internet of Things Download PDF

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CN108595610A
CN108595610A CN201810362556.3A CN201810362556A CN108595610A CN 108595610 A CN108595610 A CN 108595610A CN 201810362556 A CN201810362556 A CN 201810362556A CN 108595610 A CN108595610 A CN 108595610A
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fork truck
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electricity
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CN108595610B (en
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周放
赵子恺
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China Jiliang University
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Abstract

The invention discloses a kind of electri forklift operating mode visualization system based on Internet of Things, which includes data acquisition module, data preprocessing module, data memory module, diagram rendering module, interaction and display module;The present invention passes to the Internet of Things data of the fork truck operating status on server according to gateway, in backstage control centre real-time display fork truck speed, position, the weight transported goods, and it handles and is generated and showed in real time using these data daily, each week, the fork truck service efficiency of every month, residual capacity of battery, fork truck speed change curves, the map of total travel distance record etc., column, the intuitive chart such as broken line, so that manager grasps forklift workability situation in real time, switch between different views on demand and thus judges fork truck task performance comprehensively, forecast analysis fork truck service life state, then distribution and the scheduling scheme of task are reasonably selected according to plant working demand, it is final to improve fork truck service efficiency and warehouse working efficiency, extend fork truck service life.

Description

A kind of electri forklift operating mode visualization system based on Internet of Things
Technical field
The present invention relates to data visualization fields more particularly to a kind of electri forklift operating mode based on Internet of Things to visualize system System.
Background technology
Electri forklift uses clean energy resource accumulator for power, really realizes no pollution, belongs to environmentally friendly equipment, just Traditional diesel fork lift truck is being substituted step by step, becomes the haulage equipment of mainstream.Electri forklift in use, speed, position It sets, battery allowance, if the idle working performance and service efficiency that wait system conditions to directly affect fork truck, domestic many enterprises exist For warehouse logistics management aspect all also by the way of labor management, this kind of mode cannot make administrative staff grasp the work of fork truck in time Make state and service life state, and then maintenance strategy timely is made to fork truck and the fork truck in entire warehouse is made reasonably Allocation schedule scheme has seriously affected the running speed of entire logistics chain.
Traditional fork truck intelligent management system, acquisition fork truck current location that can only be single cannot can be visually seen fork truck speed The variation of degree accurately reflects the real-time running state of fork truck, handling situations.The record of data may be implemented in current Database Systems The functions such as enter, inquire, counting, but can not effectively find relationship present in data and development trend, can not effectively help User makes analysis, decision according to existing data.
Data visualization is to gain knowledge with computer graphical and image processing techniques, collected work in practical measure Number of passes is presented to user according to Figure and Image that is intuitive, being easy to understand is changed into, and people is helped to more fully understand data, from And information is quickly seized from mass data.
Invention content
In view of the above-mentioned deficiencies in the prior art, it is an object of the present invention to be designed using visualization technique and visualization tool a kind of Electri forklift operating mode visualization system based on Internet of Things in warehouse logistics, so that policymaker holds the overall situation at the first time, in time The current operating condition for grasping fork truck improves fork truck dispatching efficiency convenient for more rapidly, more accurately analyzing initial data.
To achieve the above object, the following technical solutions are proposed by the present invention:A kind of electri forklift operating mode based on Internet of Things can Depending on changing system, which includes data acquisition module, data preprocessing module, data memory module, diagram rendering module, interaction And display module;
The data acquisition module:Including Zigbee wireless positioning network modules, speed, weighing sensor, battery capacity Detection module, local gateway, Cloud Server, MySQL database;Arrange that a set of Zigbee is wirelessly fixed according to the size of storage area Position backbone network, installs mobile node, fork truck passes through preset reference mode in moving process on each fork truck in warehouse Signal strength values output mobile node the elements of a fix, so that it is determined that fork truck real time position;And deployment speed, title on fork truck Sensor and battery capacity detection sensor are retransmitted, the data of each sensor acquisition are transferred to local by STM32 controller platforms Gateway;Local gateway incites somebody to action the corresponding speed of each current fork truck, position, the weight of each goods carried, battery capacity, Yi Jishi No idle equal floor datas upload to Cloud Server one by one, these data are saved in the MySQL numbers on cloud by Cloud Server in time According in library;
The data preprocessing module:According to all original floor datas that MySQL database stores, with cluster and return Reduction method, by denoising, data cleansing extracts feature, the initial data containing noise and error is washed, and retains to user Useful clean data, and data are reorganized according to the data format needed for correspondence graph and realize standardization;
The data memory module:The data that data acquisition module and data prediction resume module are crossed, according to prior Designed tables of data stores spare, and the tables of data includes fork truck original information data table, fork truck position tables of data, fork Vehicle speed tables of data, fork truck are weighed weight data table, forklift battery electricity display data table;
The diagram rendering module:For the data of storage to be mapped to chart, following submodule is specifically included:
(1) the excel tables of fork truck original basic information data:By the number of all fork trucks of Current warehouse, type is suitble to The goods weight grade of carrying, the data such as driver are visualized by excel tables one by one, so that administrative staff inquire;
(2) mapping module of fork truck position and historical track:According to the wireless network module carried on electri forklift vehicle body The mobile node information data passed back obtain the current location information of fork truck, and show fork truck with colored dot on map Current location connects all tracing points of acquisition, you can draws the historical track that fork truck is passed by, is arranged by color Difference can intuitively find out the driving trace of each fork truck;
(3) fork truck weighing data block diagram and broken line module:It is weighed weight data table according to fork truck, obtains MySQL numbers According to the weight summation transported goods is accumulated in each fork truck every workday stored in library, three are generated in real time in plane coordinates It, one week, two weeks, the specific datagram of a month workload, and switching push button is set, weighing data can in line chart and Switching at runtime between block diagram reflects the work total amount of fork truck by block diagram, and the change of fork truck workload is predicted by line chart Change trend is moved towards;
(4) fork truck regional work amount pie chart module:By the fork truck work in each warehouse, in a few days the sum of weighing data accumulates phase Add, gives pie chart piecemeal accordingly by the quantity in warehouse, the period is selected by period combobox on demand, shows each area respectively One day, three days, one week, two weeks, one month workload summation, to intuitively find out the fork truck in each warehouse same time The comparison of workload in section, prepares for the statistical analysis of moon sheet;
(5) forklift battery electricity mesh module forms grid by the 100 small square of 10*10, each small square generation The electricity of table 1% indicates current electric quantity by there is the quantity of the small square of color filling, it is assumed that n small squares have face Color is filled, then it represents that percent n of current electric quantity residue;
The interaction and display module:Using visualization tool Echart.js technologies, will be drawn in a manner of intuitive and easy to understand Fork truck original basic information data excel tables, the mapping module of fork truck position and historical track, fork truck weighing data column Figure and broken line module, the data of forklift battery electricity mesh module, fork truck regional work amount pie chart module carry out visualization exhibition Show, administrative staff can access the data that show of visualization by Web browser, and can be while seeing dynamic chart pair Chart interacts operation.
Further, in the data memory module, fork truck original information data table includes data item:Fork truck number is (main Key), driver's number, fork truck type, grade of weighing, fork truck number (major key) is by increasing 1 sequence;Fork truck position/speed/weight Amount/electricity data table includes data item:Fork truck numbers (major key), fork truck X, Y coordinates/fork truck speed/weight/electricity, the fork Vehicle numbers (major key) and sorts by increasing 1.
Further, in the forklift battery electricity mesh module, Fill Color is red when 10% or less electricity residue, Fill Color is orange when electricity residue 10%-40% ranges, and Fill Color is green when 40% or more electricity residue.
Further, the interactive operation in the interaction and display module includes:
(1) re-computation is pulled:Administrative staff are allowed to extract partial data by pulling mode, to analyze emphasis for greater flexibility Perpetual object, targetedly to data recombination;
(2) Data View:It allows administrative staff that can check data source while seeing data visualization effect, will roll over Line, column, pie chart switch to Data View;
(3) data area scales:When data volume is larger, administrative staff can arbitrarily select data area of concern, into Row visualization;
(4) regime type switches:There are many visualization schemes to select for same data, dynamically different type chart it Between any switching laws;
(5) Joker time shaft:For the visual presentation of the data containing temporal information, such as weighing in different time sections Data, by arbitrary chart collocation time shaft, the change procedure of Dynamic Announce data.
Further, which is developed based on B/S, using MVC three-decker development modes, with HTML+Bootstrap+ Javascript shows tool as front end page, and JSP is used as dynamic page demonstration tool, system call management backstage JavaBean is as model library, and Servlet is used for realizing page control and service logic, using MicrosoftSQL Server 2000 are used as database server, and web page server uses Apache Tomcat, and combines Ajax technologies, makes browser and Web Asynchronous communication between server improves user experience.
Compared with prior art, beneficial effects of the present invention are as follows:Electrician's fork truck operating mode visualization system of the present invention, in conjunction with Visualization technique and visualization analysis tools pass to the Internet of Things data of the fork truck operating status on server according to gateway, Backstage control centre real-time display fork truck speed, position, the weight transported goods, and handle and generated in real time simultaneously using these data Show daily, each week, the fork truck service efficiency of every month, personnel checking-up, residual capacity of battery, fork truck speed change curves, The map of total travel distance record etc., column, broken line, the intuitive chart such as pie chart, so that manager grasps forklift workability feelings in real time Condition switches the task performance for thus judging the fork truck comprehensively, the service life shape of forecast analysis fork truck between different views on demand State then reasonably selects distribution and the scheduling scheme of task according to plant working demand, is finally reached the use effect for improving fork truck The working efficiency of rate and warehouse extends the service life of fork truck, saves management and energy cost for enterprise, improves the service of enterprise Level achieves great-leap-forward development, and more incomes are brought for it.
Description of the drawings
Fig. 1 is that the present invention is based on the structure diagrams of the electri forklift operating mode visualization system of Internet of Things.
Specific implementation mode
Invention is further described in detail in the following with reference to the drawings and specific embodiments.
As shown in Figure 1, a kind of electri forklift operating mode visualization system based on Internet of Things provided by the invention, including data Acquisition module, data preprocessing module, data memory module, diagram rendering module, interaction and display module;
The data acquisition module:Including Zigbee wireless positioning network modules, speed, weighing sensor, battery capacity Detection module, local gateway, Cloud Server, MySQL database;Arrange that a set of Zigbee is wirelessly fixed according to the size of storage area Position backbone network, installs mobile node, fork truck passes through preset reference mode in moving process on each fork truck in warehouse Signal strength values output mobile node the elements of a fix, so that it is determined that fork truck real time position;And deployment speed, title on fork truck Sensor and battery capacity detection sensor are retransmitted, the data of each sensor acquisition are transferred to local by STM32 controller platforms Gateway;Local gateway incites somebody to action the corresponding speed of each current fork truck, position, the weight of each goods carried, battery capacity, Yi Jishi No idle equal floor datas upload to Cloud Server one by one, these data are saved in the MySQL numbers on cloud by Cloud Server in time According in library.
The data preprocessing module:According to all original floor datas that MySQL database stores, with cluster and return Reduction method, by denoising, data cleansing extracts feature, the initial data containing noise and error is washed, and retains to user Useful clean data, and data are reorganized according to the data format needed for correspondence graph and realize standardization.
The data memory module:The data that data acquisition module and data prediction resume module are crossed, according to prior Designed tables of data stores spare, and the tables of data includes fork truck original information data table, fork truck position tables of data, fork Vehicle speed tables of data, fork truck are weighed weight data table, forklift battery electricity display data table;
Fork truck original information data table includes data item:Fork truck numbers (major key), driver's number, fork truck type, weighs Grade, the fork truck number (major key) are sorted by increasing 1;Fork truck position/speed/weight/electricity data table includes data item:Fork truck (major key), fork truck X, Y coordinates/fork truck speed/weight/electricity are numbered, the fork truck number (major key) is sorted by increasing 1.
The diagram rendering module:For the data of storage to be mapped to chart, following submodule is specifically included:
(1) the excel tables of fork truck original basic information data:By the number of all fork trucks of Current warehouse, type is suitble to The goods weight grade of carrying, the data such as driver are visualized by excel tables one by one, so that administrative staff inquire;
(2) mapping module of fork truck position and historical track:According to the wireless network module carried on electri forklift vehicle body The mobile node information data passed back obtain the current location information of fork truck, and show fork truck with colored dot on map Current location connects all tracing points of acquisition, you can draws the historical track that fork truck is passed by, is arranged by color Difference can intuitively find out the driving trace of each fork truck;
(3) fork truck weighing data block diagram and broken line module:It is weighed weight data table according to fork truck, obtains MySQL numbers According to the weight summation transported goods is accumulated in each fork truck every workday stored in library, three are generated in real time in plane coordinates It, one week, two weeks, the specific datagram of a month workload, and switching push button is set, weighing data can in line chart and Switching at runtime between block diagram, block diagram can reflect that the work total amount of fork truck, line chart can predict fork truck workload well Variation tendency trend, to grasp fork truck working efficiency.
(4) fork truck regional work amount pie chart module:By the fork truck work in each warehouse, in a few days the sum of weighing data accumulates phase Add, by warehouse quantity accordingly give pie chart piecemeal, time option be 1 day, 3 days, 7 days, two weeks, one month, when passing through Between section combobox select the period on demand, show each area respectively one day, three days, one week, two weeks, one month workload was total With to intuitively find out the comparison of workload in the fork truck in each warehouse same period, to the statistical for moon sheet Analysis is prepared.
(5) forklift battery electricity mesh module forms grid by the 100 small square of 10*10, each small square generation The electricity of table 1% indicates current electric quantity by there is the quantity of the small square of color filling, it is assumed that n small squares have face Color is filled, then it represents that percent n of current electric quantity residue, wherein Fill Color is red when 10% or less electricity residue, and electricity is surplus Fill Color is orange when remaining 10%-40% ranges, and Fill Color is green when 40% or more electricity residue.
The interaction and display module:Using visualization tool Echart.js technologies, will be drawn in a manner of intuitive and easy to understand Fork truck original basic information data excel tables, the mapping module of fork truck position and historical track, fork truck weighing data column Figure and broken line module, the data of forklift battery electricity mesh module, fork truck regional work amount pie chart module carry out visualization exhibition Show, allows administrative staff to access the data that visualization shows by Web browser, and can be while seeing dynamic chart to figure Table does following operation:
(1) re-computation is pulled:Administrative staff are allowed to extract partial data by pulling mode, to analyze emphasis for greater flexibility Perpetual object, targetedly to data recombination;
(2) Data View:It allows administrative staff that can check data source while seeing data visualization effect, will roll over Line, column, pie chart switch to Data View;
(3) data area scales:When data volume is larger, administrative staff can arbitrarily select data area of concern, into Row visualization;
(4) regime type switches:There are many visualization schemes to select for same data, dynamically different type chart it Between any switching laws;
(5) Joker time shaft:For the visual presentation of the data containing temporal information, such as weighing in different time sections Data, by arbitrary chart collocation time shaft, the change procedure of Dynamic Announce data.
By various interactive operations, administrative staff can fully understand chart and its corresponding information.
This system can be based on B/S (browser/server) and develop, using MVC three-decker development modes, with HTML+ Bootstrap+Javascript shows tool as front end page, and JSP is as dynamic page demonstration tool, system call management Backstage is using JavaBean as model library, and Servlet is used for realizing page control and service logic, using Microsoft SQL Server 2000 are used as database server, and web page server uses Apache Tomcat, and combines Ajax technologies, makes Asynchronous communication between browser and Web server improves user experience.
These are only the present invention an exemplary description, be not intended to limit the invention, it is all the present invention in principle The improvement of progress, replace etc., it should all be included in the protection scope of the present invention.

Claims (5)

1. a kind of electri forklift operating mode visualization system based on Internet of Things, which is characterized in that including data acquisition module, data Preprocessing module, data memory module, diagram rendering module, interaction and display module;
The data acquisition module:Including Zigbee wireless positioning network modules, speed, weighing sensor, battery capacity detection Module, local gateway, Cloud Server, MySQL database;A set of Zigbee wireless locations bone is arranged according to the size of storage area Dry network installs mobile node on each fork truck in warehouse, and fork truck passes through the letter of preset reference mode in moving process The elements of a fix of number intensity value output mobile node, so that it is determined that fork truck real time position;And deployment speed, biography of weighing on fork truck The data of sensor and battery capacity detection sensor, each sensor acquisition are transferred to local gateway by STM32 controller platforms; The corresponding speed of each current fork truck of local gateway general, position, the weight of each goods carried, battery capacity, and it is whether not busy It sets equal floor datas and uploads to Cloud Server one by one, these data are saved in the MySQL database on cloud by Cloud Server in time In;
The data preprocessing module:According to all original floor datas that MySQL database stores, with cluster and calculation is returned Method, by denoising, data cleansing extracts feature, the initial data containing noise and error is washed, and retains useful to user Clean data, and by data according to needed for correspondence graph data format reorganize realize standardization;
The data memory module:The data that data acquisition module and data prediction resume module are crossed, according to prior design Good tables of data stores spare, and the tables of data includes fork truck original information data table, fork truck position tables of data, fork truck speed Degrees of data table, fork truck are weighed weight data table, forklift battery electricity display data table;
The diagram rendering module:For the data of storage to be mapped to chart, following submodule is specifically included:
(1) the excel tables of fork truck original basic information data:By the number of all fork trucks of Current warehouse, type is suitble to carry Goods weight grade, the data such as driver are visualized by excel tables one by one, so that administrative staff inquire;
(2) mapping module of fork truck position and historical track:It is passed back according to the wireless network module carried on electri forklift vehicle body Mobile node information data, obtain the current location information of fork truck, and show that fork truck is current with colored dot on map Position connects all tracing points of acquisition, you can draws the historical track that fork truck is passed by, the difference being arranged by color It can intuitively find out the driving trace of each fork truck;
(3) fork truck weighing data block diagram and broken line module:It is weighed weight data table according to fork truck, obtains MySQL database In accumulation is transported goods in each fork truck every workday for storing weight summation, generated in real time in plane coordinates three days, One week, two weeks, the specific datagram of a month workload, and switching push button is set, weighing data can be in line chart and column Switching at runtime between shape figure reflects the work total amount of fork truck by block diagram, and the variation of fork truck workload is predicted by line chart Trend is moved towards;
(4) fork truck regional work amount pie chart module:By the fork truck in each warehouse work in a few days the sum of weighing data cumulative addition, press The quantity in warehouse gives pie chart piecemeal accordingly, selects the period on demand by period combobox, shows each area respectively one day, Three days, one week, two weeks, one month workload summation, to intuitively find out in the fork truck in each warehouse same period The comparison of workload is prepared for the statistical analysis of moon sheet;
(5) forklift battery electricity mesh module forms grid by the 100 small square of 10*10, and each small square represents 1% electricity indicates current electric quantity by there is the quantity of the small square of color filling, it is assumed that n small squares have color Filling, then it represents that percent n of current electric quantity residue;
The interaction and display module:Using visualization tool Echart.js technologies, by the fork of drafting in a manner of intuitive and easy to understand The mapping module of the excel tables of vehicle original basic information data, fork truck position and historical track, fork truck weighing data block diagram and The data of broken line module, forklift battery electricity mesh module, fork truck regional work amount pie chart module are visualized, pipe Reason personnel can access the data that visualization shows by Web browser, and can be while seeing dynamic chart to chart Interact operation.
2. a kind of electri forklift operating mode visualization system based on Internet of Things according to claim 1, which is characterized in that institute It states in data memory module, fork truck original information data table includes data item:Fork truck numbers (major key), driver's number, fork truck Type, grade of weighing, the fork truck number (major key) are sorted by increasing 1;Fork truck position/speed/weight/electricity data table includes number According to item:Fork truck numbers (major key), fork truck X, Y coordinates/fork truck speed/weight/electricity, and fork truck number (major key) is by increasing 1 row Sequence.
3. a kind of electri forklift operating mode visualization system based on Internet of Things according to claim 1, which is characterized in that institute It states in forklift battery electricity mesh module, Fill Color is red, electricity residue 10%-40% models when 10% or less electricity residue Fill Color is orange when enclosing, and Fill Color is green when 40% or more electricity residue.
4. a kind of electri forklift operating mode visualization system based on Internet of Things according to claim 1, which is characterized in that institute Stating interaction and the interactive operation in display module includes:
(1) re-computation is pulled:It allows administrative staff to extract partial data by pulling mode, is paid close attention to analyze for greater flexibility Object, targetedly to data recombination;
(2) Data View:Allow administrative staff that can check data source while seeing data visualization effect, by broken line, column Shape, pie chart switch to Data View;
(3) data area scales:When data volume is larger, administrative staff can arbitrarily select data area of concern, and progress can Depending on change;
(4) regime type switches:There are many visualization schemes to select for same data, dynamically appoints between different type chart Meaning switching;
(5) Joker time shaft:For the visual presentation of the data containing temporal information, such as the number of weighing in different time sections According to by arbitrary chart collocation time shaft, the change procedure of Dynamic Announce data.
5. a kind of electri forklift operating mode visualization system based on Internet of Things according to claim 1, which is characterized in that should System is developed based on B/S, using MVC three-decker development modes, using HTML+Bootstrap+Javascript as preceding end page Face shows tool, JSP as dynamic page demonstration tool, system call management backstage using JavaBean as model library, Servlet is used for realizing page control and service logic, using Microsoft SQL Server 2000 as database service Device, web page server uses Apache Tomcat, and combines Ajax technologies, makes asynchronous logical between browser and Web server Letter improves user experience.
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Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108733849A (en) * 2018-06-15 2018-11-02 武汉理工大学 Manufacture of cement kiln system heat consumption analysis visualization system and method based on MVC
CN109684617A (en) * 2018-12-20 2019-04-26 北京树根互联科技有限公司 A kind of report generation method and device
CN111221330A (en) * 2019-12-26 2020-06-02 未来机器人(深圳)有限公司 Unmanned forklift motion control method and unmanned forklift assembly motion control method
CN111767275A (en) * 2020-06-28 2020-10-13 北京林克富华技术开发有限公司 Data processing method and device and data processing system
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CN112947164A (en) * 2021-02-01 2021-06-11 树根互联股份有限公司 Historical working condition display method and device for Internet of things equipment and computer equipment
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103092924A (en) * 2012-12-28 2013-05-08 深圳先进技术研究院 Real-time data driven traffic data three-dimensional visualized analysis system and method
CN105654268A (en) * 2016-04-07 2016-06-08 福建农林大学 Visual management system for loading and unloading positions of logistic goods yard and method
US20170094160A1 (en) * 2015-09-25 2017-03-30 International Business Machines Corporation Image subject and composition demand
CN106599034A (en) * 2016-11-04 2017-04-26 国网浙江省电力公司 Power grid enterprise power balance data visualization system and method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103092924A (en) * 2012-12-28 2013-05-08 深圳先进技术研究院 Real-time data driven traffic data three-dimensional visualized analysis system and method
US20170094160A1 (en) * 2015-09-25 2017-03-30 International Business Machines Corporation Image subject and composition demand
CN105654268A (en) * 2016-04-07 2016-06-08 福建农林大学 Visual management system for loading and unloading positions of logistic goods yard and method
CN106599034A (en) * 2016-11-04 2017-04-26 国网浙江省电力公司 Power grid enterprise power balance data visualization system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张青 等: "移动互联网数据可视化技术研究与系统实现", 《电信科学》 *

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108733849B (en) * 2018-06-15 2019-04-19 武汉理工大学 Manufacture of cement kiln system heat consumption analysis visualization system and method based on MVC
CN108733849A (en) * 2018-06-15 2018-11-02 武汉理工大学 Manufacture of cement kiln system heat consumption analysis visualization system and method based on MVC
CN109684617A (en) * 2018-12-20 2019-04-26 北京树根互联科技有限公司 A kind of report generation method and device
CN111221330A (en) * 2019-12-26 2020-06-02 未来机器人(深圳)有限公司 Unmanned forklift motion control method and unmanned forklift assembly motion control method
CN113127442A (en) * 2020-01-10 2021-07-16 马上消费金融股份有限公司 Visualization method and device of data model and storage medium
CN113127442B (en) * 2020-01-10 2023-12-22 马上消费金融股份有限公司 Method, device and storage medium for visualizing data model
CN111767275A (en) * 2020-06-28 2020-10-13 北京林克富华技术开发有限公司 Data processing method and device and data processing system
CN111767275B (en) * 2020-06-28 2024-04-19 北京林克富华技术开发有限公司 Data processing method and device and data processing system
CN112527277B (en) * 2020-12-16 2023-08-18 平安银行股份有限公司 Visualized calculation task arrangement method and device, electronic equipment and storage medium
CN112527277A (en) * 2020-12-16 2021-03-19 平安银行股份有限公司 Visual calculation task arranging method and device, electronic equipment and storage medium
CN112947164A (en) * 2021-02-01 2021-06-11 树根互联股份有限公司 Historical working condition display method and device for Internet of things equipment and computer equipment
CN113515120A (en) * 2021-04-27 2021-10-19 武汉易上物联科技有限责任公司 Fork truck working condition visualization device and system based on Internet of things
CN113407873A (en) * 2021-06-21 2021-09-17 北京一雄信息科技有限公司 Vehicle detection method and system based on WEB browser
CN113656011A (en) * 2021-08-17 2021-11-16 广州新科佳都科技有限公司 Visual development system of track traffic net low code
CN113656011B (en) * 2021-08-17 2022-03-11 广州新科佳都科技有限公司 Visual development system of track traffic net low code
CN113742365A (en) * 2021-09-14 2021-12-03 盐城工业职业技术学院 Vehicle utilization data visual dynamic monitoring system and method
CN113942024A (en) * 2021-10-08 2022-01-18 江西省智能产业技术创新研究院 Logistics robot
CN114003831A (en) * 2021-10-21 2022-02-01 易协云(杭州)科技有限公司 Method and system for graphically displaying project progress by utilizing webpage
CN114003831B (en) * 2021-10-21 2024-04-30 易协云(杭州)科技有限公司 Method and system for graphically displaying project progress by using webpage
CN114265961A (en) * 2022-03-03 2022-04-01 深圳市大树人工智能科技有限公司 Operating system type big data cockpit system
CN114265961B (en) * 2022-03-03 2022-05-17 深圳市大树人工智能科技有限公司 Operating system type big data cockpit system
CN117348383A (en) * 2023-12-04 2024-01-05 广州泛美实验室系统科技股份有限公司 Fume hood variable air volume control method based on laboratory environment monitoring
CN117348383B (en) * 2023-12-04 2024-03-12 广州泛美实验室系统科技股份有限公司 Fume hood variable air volume control method based on laboratory environment monitoring
CN117633636A (en) * 2024-01-25 2024-03-01 江苏省特种设备安全监督检验研究院 Cloud interconnected special detection data processing system and processing equipment thereof
CN117633636B (en) * 2024-01-25 2024-05-03 江苏省特种设备安全监督检验研究院 Cloud interconnected special detection data processing system and processing equipment thereof
CN117950393A (en) * 2024-03-27 2024-04-30 江苏瀚天智能科技股份有限公司 Fork truck operation control optimization method and device based on LoRa technology

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