Logistics work accident cause determination system

Abstract

To efficiently determine the causes of logistics work accidents, such as accidents occurring during receiving, storing, and sorting at automated logistics bases in the transportation industry.SOLUTION: A system is composed of a cloud server, a WEB server, camera equipment, sensor equipment, a determination function, and various terminals to determine the cause of a logistics operation accident such as an accident at the time of receiving, storing, and sorting at a logistics base. Information on the identified cause of the accident is sent to the responsible person, remote monitors, and workers to improve the cause of the accident, and to utilize the logistics operation accident cause determination system for quick work recovery.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a system for determining the causes of logistics operation accidents such as accidents during incoming goods, warehousing, and sorting operations at logistics bases in the transportation industry.

Background Art

[0002] In a logistics base automated by AGVs (Automated Guided Vehicles) "automatic guided vehicles", etc., when performing incoming goods, warehousing, sorting operations, etc., if the goods are damaged or equipment such as a belt conveyor stops, it is important to obtain the situation with a camera image / video or a sensor and utilize it for improvement. If a goods collapse occurs, it is necessary to find out the cause of the goods collapse. Just reporting the resulting image / video / sensor data is insufficient. Simply obtaining images / videos requires time to identify the corresponding cause location. Also, a large amount of storage is required for storing images / videos. For example, if the situation of failed string cutting by a string cutting machine cannot be detected and equipment stops or goods collapse occurs in the next process, or if the occurrence of goods collapse during AGV conveyance or during the operation of a film winding machine cannot be detected and mis-shipping / other equipment stops occur, or if damage to a cardboard box occurs in the AGV area and the damaged part contacts the AGV and stops, etc., the cause may exist in a location different from where the stop or error is detected.

[0003] Thus, the working times and working locations in an automated logistics base are diverse. Even if the location where a goods collapse has occurred can be discovered through images / videos, the cause of the goods collapse may not necessarily be at the occurrence location. The goods may shift at a location before the occurrence location, resulting in a goods collapse at the occurrence location. Even if improvements are made to the occurrence location, it may not lead to a fundamental solution. That is, it is important to determine the cause of the goods collapse and identify the location where the cause occurred. Also, instant cause determination is necessary not only for goods collapse but also for preventing human accidents, arson, etc.

[0004] In the above technical field, Patent Document 1 discloses a technique for more efficiently and accurately sorting packages. Patent Document 2 discloses a package sorting system, a package sorting method, an information processing device, and its control technology. Patent Document 3 discloses a sorting station where packages or their storage containers are efficiently and accurately transferred, and an article distribution system incorporating the same.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0006] However, with the technologies described in the above documents, although it is possible to achieve improvements in efficiency and accuracy in sorting and the like, it is difficult to prevent accidents caused by complex reasons. Originally, a system should be constructed for the purpose of preventing recurrence of accidents and restoring operations in the shortest time by accurately determining the cause of an accident. By combining with other sensors like a drive recorder, or inputting images / videos from a camera that can be incorporated into an app and data from sensors into artificial intelligence, it becomes possible to determine the cause of an accident, identify the location corresponding to the cause of the accident, shorten the recovery time, and achieve efficient improvement. Therefore, there is a need to construct an integrated system for immediate determination, confirmation of the cause of an accident, and indication of improvement points by a cloud server, a WEB server, camera equipment, sensor equipment, a determination function, and various terminals.

[0007] An object of the present invention is to provide a technology for solving the above problems.

Means for Solving the Problems

[0008] Integrate and operate cloud servers, web servers, camera equipment, sensor equipment, judgment functions, and various terminals through an integrated system. The utilization of the convenience of cloud servers is optional, and the installation of web servers is operated in response to the number and continuity of workplaces. Camera equipment and sensor devices are installed at any appropriate location within the logistics base. The judgment function is composed of video / image recognition, artificial intelligence, etc. The various terminals are information terminals that can be carried and are operated by administrators, remote monitors, workers, etc.

Advantages of the Invention

[0009] According to the system implementing the present invention, not only accidents during incoming goods, warehousing, and sorting within the logistics base, but also human accidents and malfunctions of transportation devices can be instantly identified, so that recovery from accidents can be achieved in the shortest time. In addition, by accumulating a large amount of accident cause data, it becomes possible to discover improvement points and improve the equipment.

Brief Description of the Drawings

[0010]

Figure 1

Figure 2

Embodiments for Carrying Out the Invention

[0011] Hereinafter, embodiments of the present invention will be described based on the accompanying drawings. In FIG. 1, 1 is a facility such as a logistics center, 2 is a web server, 3 is a camera built into the app, 4 is a temperature / humidity / acceleration / illuminance sensor, 5 is artificial intelligence, 6 is a database, 7 is a cloud server, 8 is an administrator terminal device, and 9 is a remote monitor / worker terminal device. In a facility such as a logistics center 1, a web server 2, a camera built into an app 2, and temperature / humidity / acceleration / illuminance sensors 3 are arranged. Image, video, and sensor data related to accidents such as equipment stoppage and cargo collapse from each work location during incoming goods, warehousing, and sorting in the facility such as the logistics center are sent to the web server 2. The web server 2 sends accident information to a cloud server 7, and the cloud server 7 inputs it to an artificial intelligence 5. At the same time, the cloud server 7 sends the accident information to a manager terminal device 8 and remote monitor / worker terminal devices 9. By sending and inputting the above accident information to the artificial intelligence 5 in the cloud server 7, the web server 2 analyzes the cause and determines the cause of the accident, creates countermeasures, and sends them as a response report, etc., to the manager terminal device 8 and remote monitor / worker terminal devices 9. For future learning, the artificial intelligence 5 stores the accident situation and cause in a database 6.

[0012] The camera built into the app 2 and the temperature / humidity / acceleration / illuminance sensors 3 are equipped with means for sending accident data. The web server 2 is equipped with means for sending the accident information sent from the camera built into the app 2 and the temperature / humidity / acceleration / illuminance sensors 3 to the manager terminal device 8, remote monitor / worker terminal devices 9, and cloud server 7. The cloud server 7 is equipped with a database 6 for storing programs such as the artificial intelligence 5 that operates this system, related information, and data. The artificial intelligence 5 is equipped with a function of determining the cause of the accident and formulating countermeasures by means of operations, searches, collations, outputs, displays, memories, and other processes for executing the program that operates the system. The cloud server 7 is equipped with means for user authentication of the manager terminal device 8 and remote monitor / worker terminal devices 9 and for sending accident information.

[0013] The facility such as the logistics center 1 can be indoor, outdoor, and can be located at multiple locations arbitrarily. There are examples where the web server 2 is close to the facility such as the logistics center 1 and examples where it is installed remotely. The cloud server 7 is used according to the characteristics of the data to be stored and the presence or absence of connection to other external systems. The in-app camera 2, temperature / humidity / acceleration / illuminance sensor 3 are installed at appropriate locations in facilities 1 such as logistics centers according to the monitoring targets and management contents. The administrator terminal device 8 and the remote monitor / worker terminal device 9 have different functions depending on whether they are for administrators or remote monitors / workers, and factors such as the accessible information and data levels.

[0014] The in-app camera 2 has the same function as a drive recorder and constantly records videos. After recording for several hours, the recording is overwritten. When an abnormal image is received, the application built into the camera determines that an accident has occurred, extracts videos of any time before and after the accident, and transmits accident information such as video data and camera placement information to the WEB server 2.

[0015] The temperature / humidity / acceleration / illuminance sensor 3 constantly detects vibrations due to temperature, humidity, earthquakes, etc. at the installed location, and when abnormal constant values occur, it transmits the abnormal constant values and sensor information to the WEB server 2.

[0016] When the WEB server 2 receives abnormal data from the in-app camera 2 and the temperature / humidity / acceleration / illuminance sensor 3, it creates an accident report, etc. based on the extracted accident data and sends it to the administrator terminal device 8 and the remote monitor / worker terminal device 9 via email, SMS, etc. At the same time, it sends the accident data to the cloud server 7.

[0017] The cloud server 7 inputs the received accident data into the artificial intelligence 5, and the artificial intelligence 5 analyzes the accident cause and identifies the accident cause. After identifying the accident cause, it formulates accident countermeasures, creates a countermeasure report, etc., and sends it to the administrator terminal device 8 and the remote monitor / worker terminal device 9 via email, SMS, etc.

[0018] Administrators and remote monitors / workers improve the accident causes of facilities 1 such as logistics centers based on the accident reports received from the WEB server 2 and the accident countermeasure reports received from the cloud server 7, and promote the processes during incoming goods, warehousing, and sorting.

[0019] The present invention aims to determine the cause of a logistics operation accident based on abnormal data from cameras and sensors and to recover from accidents during incoming goods, warehousing, and sorting. However, it does not limit the determination data to only abnormal data from cameras and sensors. There are many devices in the logistics base, such as AGV (Automated Guided Vehicle) "automatic guided vehicle", belt conveyor, string cutter, seismograph, fire alarm, etc. It is also possible to incorporate stop signals and abnormal signals from these devices into the system and construct a comprehensive logistics operation accident cause determination system.

[0020] The following will be described based on examples of generalized terms. The administrator terminal device 8 and the remote monitor / worker terminal device 9 are preferably mobile terminals, such as smartphones or any other. The terminal device and the cloud server 7 are equipped with means (functions) for transmitting and receiving the said information (including various data hereinafter). As an example, matters to be confirmed, such as the personal authentication and authority of the person carrying the terminal (administrator, operator, etc.), are transmitted and received to each other for checking. The artificial intelligence 5 is configured and operated by the currently mainstream deep learning type artificial intelligence, but is not limited to this function and configuration. By learning abnormal data, the artificial intelligence 5 analyzes the causes of accidents during incoming goods, warehousing, and sorting, creates a countermeasure report, etc., and transmits it from the cloud server 7 to each terminal device.

Industrial Applicability

[0021] The present invention is an effective system for abnormal detection and cause analysis of load collapse in an automated logistics base, but it can also be used for other applications outside the logistics base. For example, it can be effectively used for abnormal detection and abnormal cause analysis in product assembly / manufacturing lines, food manufacturing lines, unmanned stores, etc.

Explanation of Signs

[0022] 1 Facility such as logistics base 2 WEB server 3 Built-in Camera in the App 4 Temperature Humidity, Acceleration, and Illuminance Sensors 5 Artificial Intelligence 6 Database 7 Cloud Server 8 Administrator Terminal Device 9 Remote Monitor / Worker Terminal Device

Claims

【Claim 1】 A logistics business accident cause determination system for detecting equipment stoppages and abnormalities during the operations of receiving, warehousing, and sorting at a logistics base, comprising: terminals operated by the person in charge, remote monitors, and workers at the logistics base; cameras and sensors installed at the logistics base; a web server that receives data from the cameras and sensors; artificial intelligence and a database that process accident cause analysis from the data; a cloud server communicably connected to the terminals; The system is characterized in that: The terminal includes: a receiving unit that receives abnormality detection and abnormality cause information during the operations of receiving, warehousing, and sorting at the logistics base from the cloud server; a display unit that displays the abnormality detection and abnormality cause information; a transmission unit that transmits the authentication information of the person in charge, remote monitors, and workers to the cloud server; The camera includes: a function of constantly recording each facility at the logistics base as a video; an app function of transmitting videos of several seconds before and after an abnormality occurs in the recorded video to the web server; a function of overwriting and recording after several hours when there is no abnormality in the recorded video; The sensor includes: a function of recording data on the acceleration such as temperature, humidity, and vibration of each facility at the logistics base; a function of transmitting abnormal data to the web server when an abnormality occurs in the recorded data; The artificial intelligence includes: a function of identifying the accident location from the abnormal video and abnormal data transmitted to the web server; a function of analyzing the accident cause from the accident location and identifying the corresponding part of the accident cause; a function of accumulating the abnormal data in the database and learning the accumulated data; The cloud server includes: an authentication unit that identifies the authentication information of the person in charge, remote monitors, and workers; a function of transmitting abnormality detection and abnormality cause information to the person in charge, remote monitors, and workers by the authentication unit; A logistics business accident cause determination system, characterized by the above. ​

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