CN114022056A - Forklift driver work efficiency statistical method and system based on Internet of things - Google Patents
Forklift driver work efficiency statistical method and system based on Internet of things Download PDFInfo
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Abstract
The invention provides a forklift driver work efficiency statistical method and system based on the Internet of things, and belongs to the field of logistics dispatching and management. The method comprises the steps that an in-plant Internet of things is constructed through a forklift integrated controller, a smart band, a sensor group, an NFC card and an SAAS platform, and an NFC card sensing area of the forklift integrated controller is communicated with the NFC card; the forklift integrated controller collects relevant information through a sensor group and a sensor of the forklift integrated controller and communicates with the SAAS platform to complete instruction receiving and data uploading; the intelligent bracelet is used for communication between a driver and the SAAS platform to complete task issuing and feedback; and the SAAS platform receives and analyzes the data uploaded by the forklift integrated controller and stores the data, so that interaction with a manager is realized. The invention accurately, real-timely and automatically collects the state of the driver driving the vehicle, accurately counts the working efficiency of the driver of the forklift truck, improves the utilization rate of the personnel and reduces the idle rate of the vehicle; meanwhile, the equipment of corresponding personnel is saved, and the human resources are saved.
Description
Technical Field
The invention belongs to the field of logistics scheduling and management, and particularly relates to a forklift driver work efficiency statistical method and system based on the Internet of things.
Background
Generally, a manufacturing company or a trade company needs to be equipped with a plurality of forklifts of different types in a factory for logistics transportation in the factory, and the forklifts are driven by a forklift driver and are responsible for completing warehousing and warehousing of goods and temporary transportation and turnover of the goods. Because the position, the type and the size of the carried object are different, the proficiency of the driver in driving the vehicle is different, and how to measure the working efficiency of a forklift driver is a relatively complex task.
In the prior art, the work efficiency of a forklift driver is managed and counted by manpower, the subjective factor occupation ratio of the mode is high, the counting result is inaccurate, the working enthusiasm of workers cannot be brought into full play, and the work efficiency of the workers cannot be improved on the premise of fairness.
Disclosure of Invention
In view of the defects or shortcomings in the prior art, the invention aims to provide the forklift driver work efficiency statistical method and system based on the Internet of things, the work efficiency of a forklift driver is automatically captured to provide scientific basis for performance assessment, a forklift and staff are allocated efficiently, and the overall work efficiency of a factory is improved.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a forklift driver work efficiency statistical system based on the internet of things, where the system includes: the system comprises a forklift integrated controller, a sensor group, a smart band, a Near Field Communication (NFC) card and a software service (SAAS) platform; wherein,
the forklift integrated controller is provided with an NFC card sensing area and is arranged on the forklift; the forklift integrated controller is used for acquiring vehicle information, current driving driver information and current cargo information through the sensor group and the sensor thereof, and communicating with the SAAS platform to complete instruction receiving and data uploading;
the NFC card induction area is used for realizing communication between the forklift integrated controller and the NFC card;
the sensor group is used for acquiring vehicle information in real time, communicating with the forklift integrated controller in a wired or wireless mode, and sending the vehicle information acquired in real time to the forklift integrated controller to ensure the safe driving of the forklift and the recording of a driving route;
the smart bracelet is worn on a driver hand and used for receiving a forklift task issued by the SAAS platform; the driver feeds back information to the SAAS platform to accept or reject the task;
the SAAS platform is communicated with at least one forklift integrated controller and at least one smart bracelet, and is used for issuing forklift driver tasks to the smart bracelet and receiving feedback; the system is also used for receiving and analyzing data uploaded by the forklift integrated controller, recording the driving route of a forklift driver, counting the working time, the number of tasks and the average working time of the forklift driver, and storing the received and analyzed data into a database; and is also used for providing a human-computer interaction interface.
As a preferred embodiment of the present invention, the forklift integrated controller further includes: the safety belt safety monitoring system comprises a cargo detection sensor, a safety belt detection sensor, a relay output control switch, a voice alarm, a master control single chip microcomputer, a main communication module and a first power supply module; wherein,
the goods detection sensor is used for detecting whether the fork teeth fork goods or not and uploading a detection result to the main control single chip microcomputer;
the safety belt detection sensor is used for detecting whether a forklift driver fastens a safety belt or not and sending a detection result to the voice alarm through the main control single chip microcomputer;
the relay output control switch is used for switching on a power supply of the forklift;
the voice alarm is used for broadcasting warning words when receiving the warning information of the master control single chip microcomputer;
the main control single chip microcomputer is simultaneously electrically connected with the cargo detection sensor, the safety belt detection sensor, the relay output control switch, the voice alarm, the main communication module and the power module, and is used for receiving information collected by the cargo detection sensor, the safety belt detection sensor and the sensor group, managing the on and off of the relay output control switch and the voice alarm according to the received information, sending the collected information to the main communication module and receiving the information from the main communication module;
the main communication module comprises an internet communication submodule and a local communication submodule; the system comprises an Internet communication submodule, a local communication submodule and a sensor submodule, wherein the Internet communication submodule is used for communication between a main control single chip microcomputer and an SAAS platform, and the local communication submodule is used for communication between the main control single chip microcomputer and the sensor module;
the first power module is used for supplying power to the forklift integrated controller.
As a preferred embodiment of the present invention, the sensor group includes at least a speed sensor and an impact sensor;
the speed sensor comprises a three-axis gyroscope, a first sensor singlechip supporting local communication and a second power module; the three-axis gyroscope is used for acquiring three-axis angular velocity data, the first sensor single chip microcomputer is used for calculating the current running speed and the motion state according to the three-axis angular velocity data of the three-axis gyroscope, communicating with the local communication sub-module of the main communication module, and uploading the data and the calculation result to the main control single chip microcomputer;
the collision sensor comprises a three-axis acceleration sensor, a second sensor single chip microcomputer supporting local communication and a third power module; the three-axis acceleration sensor is used for acquiring three-axis acceleration data, the second sensor single chip microcomputer is used for judging a threshold value interval corresponding to which level of collision the three-axis acceleration falls in according to a module value of the three-axis acceleration, judging the collision grade, communicating with the local communication submodule of the main communication module, and uploading the data and the judgment result of the second sensor single chip microcomputer to the main control single chip microcomputer.
As a preferred embodiment of the present invention, the speed sensor is mounted on a fork rim; the collision sensor is arranged at the farthest end of the four directions of the forklift.
As a preferred embodiment of the present invention, the smart band includes a button, a buzzer, a display screen, a band communication module, a band single chip, and a fourth power module; wherein,
the SAAS platform issues tasks to the bracelet single chip microcomputer through the bracelet communication module;
the bracelet single chip microcomputer is used for reminding a driver of issuing a task currently through a buzzer and displaying the task content through a display screen;
the key is used for the driver to feed back, accept or reject the current task, and the feedback information is fed back to the SAAS platform through the hand-ring communication module;
the fourth power module provides power for other modules of the smart band.
As a preferred embodiment of the present invention, the SAAS platform includes an MQTT server, a data calculation module, a business service module, a database, and a front-end web page; wherein,
the MQTT server is used for completing communication with the smart band and the forklift integrated controller;
the data calculation module is used for finishing data statistics work;
the business service module is used for writing records and providing an interface; the database is used for storing data and statistical results;
the front-end webpage is used for providing an interface for interaction with a user.
In a second aspect, an embodiment of the present invention further provides a method for counting the working efficiency of a forklift driver based on the internet of things, where the method is implemented based on the system for counting the working efficiency of the forklift driver, and includes the following steps:
step S1, building a basic operation environment, installing a sensor group at a corresponding position of a forklift, configuring a forklift integrated controller, completing the binding of an NFC card and the forklift, configuring a smart bracelet and an NFC card for a driver, and opening the communication with an SAAS platform;
step S2, issuing a task to a driver wearing the smart bracelet through the SAAS platform, and receiving feedback information of the driver;
step S3, after the driver receives the task, the driver carries the issued NFC card to the binding forklift to pass card swiping authentication with the NFC induction area of the forklift integrated controller, starts the forklift and the sensor group, executes the operation, and collects and uploads vehicle information, cargo information, driver information and a driving route in real time;
step S4, the SAAS platform receives and resolves various events and information uploaded by the forklift integrated controller when a driver drives the vehicle in real time, counts relevant data of a preset driver in a preset time period, and stores the data in a database;
and step S5, the SAAS platform pushes the calculation result to a front-end interface in real time for displaying so as to assess the efficiency of the manager statistics personnel.
As a preferred embodiment of the present invention, the step S3 includes:
step S31, after a driver gets on the vehicle, an NFC induction area is activated, after the NFC card passes the card swiping authentication with the NFC induction area of the forklift integrated controller, the main control single chip microcomputer informs a relay to output a control switch to switch on a power supply, the forklift is started, and a safety belt detection sensor detects the driver; if the driver does not fasten the safety belt, the main control single chip microcomputer of the forklift integrated controller informs the voice alarm to broadcast corresponding warning information, sends the non-safe driving event of the person to the SAAS platform, and continues to detect; if the driver has fastened the seat belt, go to step S32;
step S32, the driver drives the fork truck to drive to the destination, the master control single chip microcomputer records and uploads the moving or static state information and the route of the fork truck at any time;
step S33, the sensor group starts a sensing mode, collects vehicle information in real time, sends the vehicle information to the main control single chip microcomputer, and uploads the vehicle information to the SAAS platform through the main control single chip microcomputer;
step S34, when the destination is reached, the goods detection sensor is started, the goods information is collected and uploaded to the main control single chip microcomputer; and the master control single chip microcomputer uploads the cargo information to the SAAS platform.
As a preferred embodiment of the present invention, the collecting the vehicle information in real time in step S33 includes:
installing a speed sensor on a forklift rim, collecting three-axis angular speed of the forklift rim in real time, calculating current running speed and motion state according to three-axis angular speed data, and uploading to a master control single chip microcomputer; when the driving speed exceeds an overspeed threshold value set in the SAAS platform, the main control single chip microcomputer informs the voice alarm to broadcast corresponding warning information and sends an overspeed driving event of the person to the SAAS platform; the collision sensors are arranged at the farthest ends of the four directions of the forklift, the three-axis acceleration data of the forklift are collected in real time, the threshold interval corresponding to which level of collision the three-axis acceleration falls is judged according to the module value of the three-axis acceleration, the collision grade is judged, and the data and the judgment result are uploaded to the main control single chip microcomputer; when the collision of the current forklift exceeds a threshold value set in the SAAS platform, the main control single chip microcomputer sends a current driver collision event to the SAAS platform.
As a preferred embodiment of the present invention, the calculating the current driving speed and the motion state according to the three-axis angular velocity data includes:
calculating a module value omega of the triaxial angular velocity according to the triaxial angular velocity of the triaxial gyroscope of the velocity sensor, and then calculating the current running velocity v according to the wheel diameter r of the wheel and a formula (1):
v = ω× r (1)；
the forward or reverse is obtained by using the z-axis angular velocity data of the three-axis gyroscope of the velocity sensor, if the z-axis output is positive, the forward is determined, and if the z-axis output is negative, the reverse is determined.
The invention has the following beneficial effects:
according to the system and the method for counting the working efficiency of the forklift driver based on the Internet of things, the Internet of things in a factory is constructed through the forklift integrated controller, the intelligent bracelet, the sensor group and the SAAS platform, the state of a person driving a vehicle is accurately and automatically acquired in real time, the working efficiency of the person is scientifically and efficiently calculated and obtained and serves as an important reference basis for performance assessment, follow-up training and optimization of the person composition, and finally the purpose of improving the working efficiency of the forklift driver is achieved. The invention accurately counts the working efficiency of the driver, improves the utilization rate of personnel, reduces the idle rate of vehicles, improves the accuracy and fairness of performance assessment of staff, is beneficial to improving the working enthusiasm of the staff, and improves the whole working efficiency and the factory conversion efficiency; meanwhile, automatic statistics is carried out through the system, so that the allocation of corresponding personnel is saved, and the human resources are saved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a forklift driver work efficiency statistical system based on the Internet of things in the embodiment of the invention;
FIG. 2 is a schematic diagram of the integrated controller of the forklift shown in FIG. 1;
FIG. 3 is a schematic diagram of a speed sensor configuration in the sensor group of FIG. 1;
fig. 4 is a schematic view of a collision sensor structure in the sensor group shown in fig. 1.
Detailed Description
After finding the above problems, the inventors of the present application have conducted intensive studies on a statistical method of the work efficiency of forklift drivers in the prior art. Analysis shows that the existing manual statistics are usually performed by group leader. For example, statistics are performed by the following procedure: several drivers and the same type of forklift are organized into a group, and a group leader is responsible for managing the drivers; using a forklift department to contact group leaders to inform the carrying requirements in a manual or remote communication way; the group leader calls appointed personnel to take a manifest and drives an appointed forklift to complete tasks by using a loud speaker broadcast according to the carried goods and the idle states of personnel and vehicles; group leaders record the working odd numbers of the personnel, observe the carrying, loading and unloading processes at intervals, and monitor whether drivers operate normally or not and whether potential safety hazards exist or not; and (5) carrying out statistics on the efficiency of the assessment personnel and obtaining the performance by the group leader.
This approach has the following problems: the manual counting has great limitation, and the operation quantity, the single-time operation duration and the operation efficiency of a forklift driver cannot be scientifically and effectively counted; whether a driver of the forklift drives safely or illegally cannot be detected in real time; the method is characterized in that manual work is excessively relied on, and the statistics performance is inaccurate to influence payroll accounting of the labor allocation; the real-time state of the vehicle cannot be known in real time; the relationship between the work vehicle and the person (which person drives which vehicle at the time of work) and the work history are not recorded.
It should be noted that the above prior art solutions have defects which are the results of practical and careful study by the inventors, and therefore, the discovery process of the above problems and the solutions proposed by the following embodiments of the present invention to the above problems should be the contribution of the inventors to the present invention in the course of the present invention.
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. In the description of the present invention, the terms "first," "second," "third," "fourth," and the like are used merely to distinguish one description from another, and are not to be construed as merely or implying relative importance.
After the deep analysis, the method and the system for counting the working efficiency of the forklift driver based on the Internet of things are provided, the in-plant Internet of things is constructed through a forklift integrated controller, a smart bracelet, a sensor group and a Software As A Service (SAAS) platform, the working efficiency of automatically grabbing the forklift driver provides a scientific basis for performance assessment, and meanwhile, the forklift and staff are allocated efficiently, so that the overall working efficiency of a plant is improved.
Referring to fig. 1, the forklift driver work efficiency statistical system based on the internet of things provided by the embodiment of the invention includes: the system comprises a forklift integrated controller, a sensor group, a smart band, a Near Field Communication (NFC) card and an SAAS platform.
The forklift integrated controller is provided with an NFC card sensing area, is arranged on a forklift, can be integrated in a BOX of a local controller of the forklift, and can also be independently arranged; the forklift integrated controller is used for acquiring vehicle information, current driving driver information and current cargo information through the sensor group and the sensor thereof, and communicating with the SAAS platform to complete instruction receiving and data uploading; the NFC card induction area is used for realizing communication between the forklift integrated controller and the NFC card;
the sensor group is used for acquiring vehicle information in real time, communicating with the forklift integrated controller in a wired or wireless mode, and sending the vehicle information acquired in real time to the forklift integrated controller to ensure the safe driving of the forklift and the complete recording of a driving route.
Wisdom bracelet accessible Lora bracelet realizes. The intelligent bracelet is worn on the hand of each driver and used for receiving a forklift task issued by the SAAS platform; when the bracelet configuration screen, show the task on the bracelet screen simultaneously, the suggestion driver goes to drive corresponding fork truck and accomplishes the task. And the driver feeds back to the SAAS platform through the bracelet to accept the task or reject the task.
The SAAS platform is communicated with at least one forklift integrated controller and at least one smart bracelet, and is used for issuing forklift driver tasks to the smart bracelet and receiving feedback; the system is also used for receiving and analyzing data uploaded by the forklift integrated controller, recording the driving route of a forklift driver, counting the working time, the number of tasks and the average working time of the forklift driver, storing the information into a database and providing data for the front-end webpage in an interface form.
The SAAS platform comprises a Message Queue Telemetry Transport (MQTT) server, a data calculation module, a business service module, a database and a front-end webpage. The MQTT server is used for completing communication with the smart bracelet and the forklift integrated controller; the data calculation module is used for finishing data statistics work, and the business service module is used for writing records and providing an interface; the database is used for storing data and statistical results; the front-end webpage is used for providing an interface for interaction with a user. The user can edit data of managers and drivers in the SAAS system through the front-end webpage, enter and release job tasks, and check data such as working duration, task number, average working hour and the like of the personnel; meanwhile, the SAAS platform supports the establishment of links with a plurality of forklift controllers, bears mass data reported by the controllers, and performs caching and asynchronous consumption processing.
Further, referring to fig. 2, the forklift integrated controller further includes: cargo detection sensor, safety belt detection sensor, relay output control switch, audio alert ware, master control singlechip, main communication module and first power module.
The goods detection sensor is used for detecting whether the fork teeth fork goods or not and uploading a detection result to the main control single chip microcomputer;
the safety belt detection sensor is used for detecting whether a forklift driver fastens a safety belt or not and sending a detection result to the voice alarm through the main control single chip microcomputer;
the relay output control switch is used for switching on an original vehicle power supply;
the voice alarm is used for broadcasting the warning words when receiving the warning information;
the main control single chip microcomputer is simultaneously electrically connected with the cargo detection sensor, the safety belt detection sensor, the relay output control switch, the voice alarm, the main communication module and the power module, receives information collected by the cargo detection sensor, the safety belt detection sensor and the sensor group, manages the on and off of the relay output control switch and the voice alarm according to the received information, sends the collected information to the main communication module and receives the information from the main communication module;
the main communication module comprises an internet communication submodule and a local communication submodule; the Internet communication submodule is used for communication between the main control single chip microcomputer and the SAAS platform, and the local communication submodule is used for communication between the main control single chip microcomputer and the sensor group. The Internet communication sub-module realizes bidirectional communication with the SAAS platform in a 4G, 5G or GPRS mode and the like; the local communication submodule realizes local communication with the sensor group in modes of a 2.4G Bluetooth network, a local area network wifi and the like.
The first power module is used for supplying power to the forklift integrated controller.
The sensor group includes at least a speed sensor and an impact sensor. As shown in fig. 3, the speed sensor includes a three-axis gyroscope, a first sensor single chip microcomputer supporting local communication, and a second power module; the three-axis gyroscope is used for acquiring three-axis angular velocity data, the first sensor single chip microcomputer is used for calculating the current running speed and the current motion state according to the three-axis angular velocity data of the three-axis gyroscope, communicating with the local communication sub-module of the main communication module, and uploading the data and the calculation result of the first sensor single chip microcomputer to the main control single chip microcomputer; as shown in fig. 4, the collision sensor includes a three-axis acceleration sensor, a second sensor single chip supporting local communication, and a third power module; the three-axis acceleration sensor is used for collecting three-axis acceleration data, the second sensing single chip microcomputer is used for judging a threshold value interval corresponding to which level of collision the three-axis acceleration falls in according to a module value of the three-axis acceleration, judging the collision grade, communicating with the local communication submodule of the main communication module, and uploading the data and the judgment result of the second sensing single chip microcomputer to the main control single chip microcomputer.
The local communication of first sensor singlechip and second sensor singlechip can be realized through the form of 2.4G bluetooth communication hardware or wifi of integration in the singlechip. The second power supply module and the third power supply module can be realized by adopting a battery, a power supply circuit board and/or a charging and discharging circuit board.
Wherein, calculate current velocity of travel and motion state according to triaxial angular velocity data of triaxial gyroscope, include:
calculating a module value omega of the triaxial angular velocity according to the triaxial angular velocity of the triaxial gyroscope of the velocity sensor, and then calculating the current running velocity v according to the wheel diameter r of the wheel and a formula (1):
v = ω× r (1)；
the forward or reverse is obtained by using the z-axis angular velocity data of the three-axis gyroscope of the velocity sensor, if the z-axis output is positive, the forward is determined, and if the z-axis output is negative, the reverse is determined.
The smart bracelet comprises a key, a buzzer, a display screen, a bracelet communication module, a bracelet single chip microcomputer and a fourth power module; wherein, the bracelet communication module is preferably a Lora communication module; the SAAS platform issues tasks to the bracelet single chip microcomputer through the bracelet communication module; the bracelet single chip microcomputer is used for reminding a driver of issuing a task currently through a buzzer and displaying the task content through a bracelet screen; the key is used for the driver to feed back, accept or reject the current task, and the feedback information is fed back to the SAAS platform through the third slave communication module. The fourth power module provides power for other modules of wisdom bracelet, can adopt the mode of battery, power supply circuit board and/or charge-discharge circuit board to realize.
Based on the same idea, the embodiment of the invention also provides a forklift driver work efficiency statistical method based on the Internet of things, and the method is realized based on the forklift driver work efficiency statistical system based on the Internet of things, and specifically comprises the following steps:
and S1, building a basic operation environment, installing the sensor group at the corresponding position of the forklift, configuring the forklift integrated controller, completing the binding of the NFC card and the forklift, configuring the smart band and the NFC card for the driver, and opening the communication with the SAAS platform.
Specifically, in this step, the sensor group at least includes a speed sensor and an impact sensor, the speed sensor is installed on a wheel rim of the forklift, and the impact sensor is installed at any fixed position of the forklift, preferably, at the farthest end of four directions of the forklift.
And step S2, issuing a task to the driver wearing the smart band through the SAAS platform, and receiving feedback information of the driver.
In the step, the manager inquires the idle condition of the driver and the vehicle adaptability through the SAAS platform, calculates to obtain an optimal dispatching distribution plan, sends the task to the intelligent bracelet of the appointed driver through the SAAS platform, completes the task issue of the driver and reminds the driver to complete the operation. The driver presses the confirmation button to indicate receipt of the task. If the driver does not confirm or definitely selects to reject, the current driver state is modified to be abnormal, a distribution plan list is kicked out, and the dispatching distribution plan is recalculated.
And step S3, after the driver receives the task, the driver carries the issued NFC card to the NFC induction area bound on the forklift and the forklift integrated controller to swipe the card for authentication, then the forklift and the sensor group are started to execute the operation, and vehicle information, cargo information, driver information and a driving route are collected and uploaded in real time.
In this step, specifically, the method includes:
step S31, after a driver gets on the vehicle, an NFC induction area is activated, after the NFC card passes the card swiping authentication with the NFC induction area of the forklift integrated controller, the main control single chip microcomputer informs a relay to output a control switch to switch on a power supply, the forklift is started, and a safety belt detection sensor detects the driver; if the driver does not fasten the safety belt, the main control single chip microcomputer of the forklift integrated controller informs the voice alarm to broadcast corresponding warning information, sends the non-safe driving event of the person to the SAAS platform, and continues to detect; if the driver has fastened the seat belt, go to step S32;
step S32, the driver drives the fork truck to drive to the destination, the master control single chip microcomputer records and uploads the moving or static state information and the route of the fork truck at any time;
and step S33, the sensor group starts a sensing mode, collects vehicle information in real time, sends the vehicle information to the first main control single chip microcomputer, and uploads the vehicle information to the SAAS platform through the main control single chip microcomputer.
In this step, the collecting vehicle information in real time includes:
installing a speed sensor on a forklift rim, collecting three-axis angular speed of the forklift rim in real time, calculating current running speed and motion state according to three-axis angular speed data, and uploading to a master control single chip microcomputer; when the driving speed exceeds an overspeed threshold value set in the SAAS platform, the main control single chip microcomputer informs the voice alarm to broadcast corresponding warning information and sends an overspeed driving event of the person to the SAAS platform; the collision sensors are arranged at the farthest ends of the four directions of the forklift, the three-axis acceleration data of the forklift are collected in real time, the threshold interval corresponding to which level of collision the three-axis acceleration falls is judged according to the module value of the three-axis acceleration, the collision grade is judged, and the data and the judgment result are uploaded to the main control single chip microcomputer; when the collision of the current forklift exceeds a threshold value set in the SAAS platform, the main control single chip microcomputer sends a current driver collision event to the SAAS platform.
Step S34, when the destination is reached, the goods detection sensor is started, the goods information is collected and uploaded to the main control single chip microcomputer; and the master control single chip microcomputer uploads the cargo information to the SAAS platform.
In this step, the cargo information includes: a goods taking place, a goods unloading place, goods varieties and quantity and the like.
And step S4, the SAAS platform receives and resolves various events and information uploaded by the forklift integrated controller when the driver drives the vehicle in real time, counts the relevant data of the preset driver in a preset time period, and stores the data in a database. And resolving, namely resolving all reported data in a streaming manner by adopting a Kafka open source flow processing platform and self-writing processing logic software.
In this step, the counting of the relevant data of the preset driver in the predetermined time period at least includes:
calculating the task completion single amount of the current driver;
counting the times of the current driver not fastening a safety belt, the times of overspeed and the times of collision;
counting the total running distance, the running distance with goods and the running distance without goods of the current driver;
counting the total working time, the no-goods working time and the goods working time of the current driver;
counting personnel utilization rate, effective personnel utilization rate and personnel efficiency;
and updating the working information recording point.
The above statistical tasks are only some examples, and any content related to driver work can be counted according to related data by the SAAS platform of the embodiment.
And step S5, the SAAS platform pushes the calculation result to a front-end interface in real time for displaying so as to assess the efficiency of the manager statistics personnel.
It should be noted that the method for counting the work efficiency of the forklift driver based on the internet of things in the embodiment corresponds to the system for counting the work efficiency of the forklift driver based on the internet of things, and the description of the system is also applicable to the method in the embodiment and is not repeated herein.
According to the technical scheme, the system and the method for counting the working efficiency of the forklift driver based on the Internet of things accurately and timely acquire the state of the driver driving the vehicle by adopting the Internet of things technology, scientifically and efficiently calculate the personnel efficiency by utilizing an informatization means, and finally achieve the purpose of improving the working efficiency of the forklift driver by taking the personnel efficiency as an important reference basis consisting of performance assessment, follow-up training and optimization personnel. The invention accurately counts the working efficiency of the driver, improves the utilization rate of personnel, reduces the idle rate of vehicles, improves the accuracy and fairness of performance assessment of staff, is beneficial to improving the working enthusiasm of the staff, and improves the whole working efficiency and the factory conversion efficiency; meanwhile, automatic statistics is carried out through the system, so that the allocation of corresponding personnel is saved, and the human resources are saved.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The foregoing description is only exemplary of the preferred embodiments of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features and (but not limited to) features having similar functions disclosed in the present invention are mutually replaced to form the technical solution.
Claims (10)
1. The utility model provides a fork truck driver work efficiency statistical system based on thing networking which characterized in that, the system includes: the system comprises a forklift integrated controller, a sensor group, a smart band, a Near Field Communication (NFC) card and a software service (SAAS) platform; wherein,
the forklift integrated controller is provided with an NFC card sensing area and is arranged on the forklift; the forklift integrated controller is used for acquiring vehicle information, current driving driver information and current cargo information through the sensor group and the sensor thereof, and communicating with the SAAS platform to complete instruction receiving and data uploading;
the NFC card induction area is used for realizing communication between the forklift integrated controller and the NFC card;
the sensor group is used for acquiring vehicle information in real time, communicating with the forklift integrated controller in a wired or wireless mode, and sending the vehicle information acquired in real time to the forklift integrated controller to ensure the safe driving of the forklift and the recording of a driving route;
the smart bracelet is worn on a driver hand and used for receiving a forklift task issued by the SAAS platform; the driver feeds back information to the SAAS platform to accept or reject the task;
the SAAS platform is communicated with at least one forklift integrated controller and at least one smart bracelet, and is used for issuing forklift driver tasks to the smart bracelet and receiving feedback; the system is also used for receiving and analyzing data uploaded by the forklift integrated controller, recording the driving route of a forklift driver, counting the working time, the number of tasks and the average working time of the forklift driver, and storing the received and analyzed data into a database; and is also used for providing a human-computer interaction interface.
2. The forklift driver work efficiency statistical system of claim 1, wherein the forklift integrated controller further comprises: the safety belt safety monitoring system comprises a cargo detection sensor, a safety belt detection sensor, a relay output control switch, a voice alarm, a master control single chip microcomputer, a main communication module and a first power supply module; wherein,
the goods detection sensor is used for detecting whether the fork teeth fork goods or not and uploading a detection result to the main control single chip microcomputer;
the safety belt detection sensor is used for detecting whether a forklift driver fastens a safety belt or not and sending a detection result to the voice alarm through the main control single chip microcomputer;
the relay output control switch is used for switching on a power supply of the forklift;
the voice alarm is used for broadcasting warning words when receiving the warning information of the master control single chip microcomputer;
the main control single chip microcomputer is simultaneously electrically connected with the cargo detection sensor, the safety belt detection sensor, the relay output control switch, the voice alarm, the main communication module and the power module, and is used for receiving information collected by the cargo detection sensor, the safety belt detection sensor and the sensor group, managing the on and off of the relay output control switch and the voice alarm according to the received information, sending the collected information to the main communication module and receiving the information from the main communication module;
the main communication module comprises an internet communication submodule and a local communication submodule; the system comprises an Internet communication submodule, a local communication submodule and a sensor submodule, wherein the Internet communication submodule is used for communication between a main control single chip microcomputer and an SAAS platform, and the local communication submodule is used for communication between the main control single chip microcomputer and the sensor module;
the first power module is used for supplying power to the forklift integrated controller.
3. The forklift driver performance statistical system of claim 2, wherein the sensor group comprises at least a speed sensor and a collision sensor;
the speed sensor comprises a three-axis gyroscope, a first sensor singlechip supporting local communication and a second power module; the three-axis gyroscope is used for acquiring three-axis angular velocity data, the first sensor single chip microcomputer is used for calculating the current running speed and the motion state according to the three-axis angular velocity data of the three-axis gyroscope, communicating with the local communication sub-module of the main communication module, and uploading the data and the calculation result to the main control single chip microcomputer;
the collision sensor comprises a three-axis acceleration sensor, a second sensor single chip microcomputer supporting local communication and a third power module; the three-axis acceleration sensor is used for acquiring three-axis acceleration data, the second sensor single chip microcomputer is used for judging a threshold value interval corresponding to which level of collision the three-axis acceleration falls in according to a module value of the three-axis acceleration, judging the collision grade, communicating with the local communication submodule of the main communication module, and uploading the data and the judgment result of the second sensor single chip microcomputer to the main control single chip microcomputer.
4. The forklift driver performance statistics system of claim 3, wherein the speed sensor is mounted on a forklift rim; the collision sensor is arranged at the farthest end of the four directions of the forklift.
5. The forklift driver work efficiency statistical system according to any one of claims 1 to 4, wherein the smart bracelet comprises a key, a buzzer, a display screen, a bracelet communication module, a bracelet single chip microcomputer, and a fourth power module; wherein,
the SAAS platform issues tasks to the bracelet single chip microcomputer through the bracelet communication module;
the bracelet single chip microcomputer is used for reminding a driver of issuing a task currently through a buzzer and displaying the task content through a display screen;
the key is used for the driver to feed back, accept or reject the current task, and the feedback information is fed back to the SAAS platform through the hand-ring communication module;
the fourth power module provides power for other modules of the smart band.
6. The forklift driver work efficiency statistical system according to any one of claims 1 to 4, wherein the SAAS platform comprises an MQTT server, a data calculation module, a business service module, a database and a front-end webpage; wherein,
the MQTT server is used for completing communication with the smart band and the forklift integrated controller;
the data calculation module is used for finishing data statistics work;
the business service module is used for writing records and providing an interface; the database is used for storing data and statistical results;
the front-end webpage is used for providing an interface for interaction with a user.
7. A forklift driver work efficiency statistical method based on the Internet of things is characterized in that the method is realized based on the forklift driver work efficiency statistical system of any one of claims 1-6, and comprises the following steps:
step S1, building a basic operation environment, installing a sensor group at a corresponding position of a forklift, configuring a forklift integrated controller, completing the binding of an NFC card and the forklift, configuring a smart bracelet and an NFC card for a driver, and opening the communication with an SAAS platform;
step S2, issuing a task to a driver wearing the smart bracelet through the SAAS platform, and receiving feedback information of the driver;
step S3, after the driver receives the task, the driver carries the issued NFC card to the binding forklift to pass card swiping authentication with the NFC induction area of the forklift integrated controller, starts the forklift and the sensor group, executes the operation, and collects and uploads vehicle information, cargo information, driver information and a driving route in real time;
step S4, the SAAS platform receives and resolves various events and information uploaded by the forklift integrated controller when a driver drives the vehicle in real time, counts relevant data of a preset driver in a preset time period, and stores the data in a database;
and step S5, the SAAS platform pushes the calculation result to a front-end interface in real time for displaying so as to assess the efficiency of the manager statistics personnel.
8. The statistical method for driver performance of forklift trucks of claim 7, wherein said step S3 comprises:
step S31, after a driver gets on the vehicle, an NFC induction area is activated, after the NFC card passes the card swiping authentication with the NFC induction area of the forklift integrated controller, the main control single chip microcomputer informs a relay to output a control switch to switch on a power supply, the forklift is started, and a safety belt detection sensor detects the driver; if the driver does not fasten the safety belt, the main control single chip microcomputer of the forklift integrated controller informs the voice alarm to broadcast corresponding warning information, sends the non-safe driving event of the person to the SAAS platform, and continues to detect; if the driver has fastened the seat belt, go to step S32;
step S32, the driver drives the fork truck to drive to the destination, the master control single chip microcomputer records and uploads the moving or static state information and the route of the fork truck at any time;
step S33, the sensor group starts a sensing mode, collects vehicle information in real time, sends the vehicle information to the main control single chip microcomputer, and uploads the vehicle information to the SAAS platform through the main control single chip microcomputer;
step S34, when the destination is reached, the goods detection sensor is started, the goods information is collected and uploaded to the main control single chip microcomputer; and the master control single chip microcomputer uploads the cargo information to the SAAS platform.
9. The statistical method for the working efficiency of the forklift drivers as recited in claim 8, wherein the step of collecting the vehicle information in real time in step S33 comprises:
installing a speed sensor on a forklift rim, collecting three-axis angular speed of the forklift rim in real time, calculating current running speed and motion state according to three-axis angular speed data, and uploading to a master control single chip microcomputer; when the driving speed exceeds an overspeed threshold value set in the SAAS platform, the main control single chip microcomputer informs the voice alarm to broadcast corresponding warning information and sends an overspeed driving event of the person to the SAAS platform; the collision sensors are arranged at the farthest ends of the four directions of the forklift, the three-axis acceleration data of the forklift are collected in real time, the threshold interval corresponding to which level of collision the three-axis acceleration falls is judged according to the module value of the three-axis acceleration, the collision grade is judged, and the data and the judgment result are uploaded to the main control single chip microcomputer; when the collision of the current forklift exceeds a threshold value set in the SAAS platform, the main control single chip microcomputer sends a current driver collision event to the SAAS platform.
10. The statistical method of truck driver work efficiency according to claim 9, wherein the calculating the current driving speed and motion state according to the three-axis angular velocity data comprises:
calculating a module value omega of the triaxial angular velocity according to the triaxial angular velocity of the triaxial gyroscope of the velocity sensor, and then calculating the current running velocity v according to the wheel diameter r of the wheel and a formula (1):
v = ω× r (1)；
the forward or reverse is obtained by using the z-axis angular velocity data of the three-axis gyroscope of the velocity sensor, if the z-axis output is positive, the forward is determined, and if the z-axis output is negative, the reverse is determined.
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