A conveyor intelligent monitoring system, method and storage medium
By combining on-site servers, smart data terminals, and cloud servers, the shortcomings of intelligent and information-based monitoring systems for tubular belt conveyors have been addressed, enabling data sharing and precise monitoring of conveyor equipment, thereby improving equipment operating efficiency and maintenance convenience.
Patent Information
- Application Number
- CN202311150643.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-07
- Publication Date
- 2025-12-16
- Estimated Expiration
- 2043-09-07
AI Technical Summary
In the existing technology, the monitoring system of tubular belt conveyors has a low level of intelligence and informatization, making it difficult to achieve remote monitoring and fault diagnosis of the equipment.
It employs a combination of on-site servers, smart data terminals, and cloud servers, using serial communication and Internet protocols to achieve data transmission and the generation and transmission of decision suggestions, generating unique network addresses and QR codes to facilitate data sharing and equipment monitoring.
It has enabled data informatization of conveyor equipment, network sharing of on-site data, and precise equipment monitoring and adjustment, thereby improving the intelligence level of the monitoring system.
Smart Images

Figure CN117228214B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of conveyor control, and in particular to a conveyor intelligent monitoring system, method and storage medium. BACKGROUND
[0002] The tubular belt conveyor (pipe belt conveyor) is a belt conveyor with a pipe-shaped winding of a conveying belt of a load-carrying and return branch, which is a new type of conveyor combining pipeline conveying and belt conveying, and has the advantages of large conveying inclination, small curvature radius, small machine body cross-sectional area, three-dimensional space bending conveying, non-deviation of the conveying belt, and convenient conveying line layout, maintenance and management.
[0003] It is an industrial development trend to integrate information technology into the operation management, equipment maintenance and technical support of the conveyor. The existing technology mainly collects field data of the conveyor by using sensors to realize remote monitoring and fault diagnosis of the equipment, and the intelligence and informatization degree of the conveyor monitoring system needs to be improved. SUMMARY
[0004] The present application provides a conveyor intelligent monitoring system, method and storage medium to realize data informatization and data intercommunication of the conveyor equipment.
[0005] According to an aspect of the present application, a conveyor intelligent monitoring system is provided, comprising: a field server, a smart data terminal and a cloud server;
[0006] The field server is configured to collect operation data of the conveyor, send the operation data to the smart data terminal, and receive decision suggestions sent by the smart data terminal;
[0007] The smart data terminal is configured to receive the operation data, send the operation data to the cloud server, obtain the decision suggestions matched with the operation data from the cloud server, and send the decision suggestions to the field server;
[0008] The cloud server is configured to generate a unique network address for the conveyor, store the operation data sent by the smart data terminal through the unique network address, and receive the decision suggestions uploaded by a technician and send the decision suggestions to the smart data terminal.
[0009] Optionally, the field server and the smart data terminal communicate through a serial communication mode, and the operation data is read-only data.
[0010] Optionally, the smart data terminal is specifically configured to:
[0011] The running data is sent to the cloud server through a user datagram protocol, the decision suggestion matched with the running data is obtained from the cloud server through a hypertext transfer protocol, and the decision suggestion is converted into serial communication data and sent to the field server.
[0012] Optionally, the decision suggestion includes a conveyor running decision, a spare part suggestion, and a device manufacturer suggestion.
[0013] Optionally, the cloud server is further configured to generate an address two-dimensional code according to the unique network address, and the running data of the corresponding conveyor can be obtained by scanning the address two-dimensional code.
[0014] Optionally, the conveyor intelligent monitoring system further includes a host computer, and the field server is further configured to send the decision suggestion to the host computer.
[0015] Optionally, the host computer is configured to receive the decision suggestion sent by the field server, convert the decision suggestion into running parameters recognizable by the conveyor, and send the running parameters to the conveyor through the field server, so that the conveyor runs according to the running parameters.
[0016] Optionally, the running parameters include conveyor balancing parameters, conveyor energy-saving parameters, spare part analysis tables, and device analysis tables, and the host computer is further configured to store the conveyor balancing parameters, the conveyor energy-saving parameters, the spare part analysis tables, and the device analysis tables in a classified manner.
[0017] According to another aspect of the present application, a conveyor intelligent monitoring method is provided, which includes:
[0018] The field server collects running data of a conveyor, sends the running data to a smart data terminal, and receives a decision suggestion sent by the smart data terminal;
[0019] The smart data terminal receives the running data, sends the running data to a cloud server, obtains the decision suggestion matched with the running data from the cloud server, and sends the decision suggestion to the field server;
[0020] The cloud server generates a unique network address for the conveyor, stores the running data sent by the smart data terminal through the unique network address, and receives a decision suggestion uploaded by a technician and sent to the smart data terminal.
[0021] Further, the field server and the smart data terminal communicate through a serial communication mode, and the running data is read-only data.
[0022] Further, the operation data is sent to the cloud server, the decision suggestion matched with the operation data is obtained from the cloud server, and the decision suggestion is sent to the field server, comprising:
[0023] The operation data is sent to the cloud server through a user datagram protocol, the decision suggestion matched with the operation data is obtained from the cloud server through a hypertext transfer protocol, and the decision suggestion is converted into serial communication data and sent to the field server.
[0024] Further, the decision suggestion comprises a conveyor operation decision, a spare part suggestion, and a device manufacturer suggestion.
[0025] Further, the method further comprises:
[0026] The cloud server generates an address two-dimensional code according to the unique network address, and the operation data of the corresponding conveyor can be obtained by scanning the address two-dimensional code.
[0027] Further, the method further comprises sending the decision suggestion to the upper computer by the field server.
[0028] Further, the method further comprises:
[0029] The decision suggestion sent by the field server is received by the upper computer, the decision suggestion is converted into operation parameters recognizable by the conveyor, the operation parameters are sent to the conveyor by the field server, and the conveyor operates according to the operation parameters.
[0030] Further, the operation parameters comprise a conveyor balance parameter, a conveyor energy-saving parameter, a spare part analysis table, and a device analysis table, and the method further comprises classifying and storing the conveyor balance parameter, the conveyor energy-saving parameter, the spare part analysis table, and the device analysis table by the upper computer.
[0031] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for causing a processor to implement the conveyor intelligent monitoring system according to any of the embodiments of the present application when executed.
[0032] The conveyor intelligent monitoring system disclosed by the application comprises a field server, a smart data terminal and a cloud server; the field server is used for collecting operation data of the conveyor, and sending the operation data to the smart data terminal and receiving decision suggestions sent by the smart data terminal; the smart data terminal is used for receiving the operation data, sending the operation data to the cloud server, obtaining decision suggestions matched with the operation data from the cloud server, and sending the decision suggestions to the field server; and the cloud server is used for generating a unique network address for the conveyor, storing the operation data sent by the smart data terminal through the unique network address, and receiving decision suggestions uploaded by a technician and sending the decision suggestions to the smart data terminal. The conveyor intelligent monitoring system disclosed by the application realizes network sharing of field data, and can make the field conveyor obtain decision suggestions on the cloud server, and realize precise equipment monitoring and adjustment at any time and anywhere.
[0033] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS
[0034] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.
[0035] Figure 1 is a structural schematic diagram of a conveyor intelligent monitoring system provided according to the first embodiment of the application;
[0036] Figure 2 is a structural schematic diagram of another conveyor intelligent monitoring system provided according to the first embodiment of the application;
[0037] Figure 3 is a flowchart of a conveyor intelligent monitoring method provided according to the second embodiment of the application. DETAILED DESCRIPTION
[0038] In order to enable those skilled in the art to better understand the application scheme, the technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only some embodiments of the application, not all. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the application.
[0039] It should be noted that the terms "first", "second", and the like in the description and in the claims of the present application and in the above-described drawings are used to distinguish similar objects and are not necessarily used to describe a particular sequential or chronological order. It should be understood that the data thus used can be interchanged, where appropriate, so that the embodiments of the application described herein can be implemented in other than the order illustrated or described herein. Furthermore, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, system, system, product, or apparatus that comprises a list of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to such processes, systems, products, or apparatuses.
[0040] Embodiment one
[0041] Figure 1 A schematic structural diagram of a conveyor intelligent monitoring system provided for the first embodiment of the present application, the present embodiment can be applicable to the case of monitoring the field data of the conveyor, the system can execute the conveyor intelligent monitoring method, and the system can be realized in the form of hardware and / or software. As shown in the figure, the system comprises a field server 110, a smart data terminal 120 and a cloud server 130. Figure 1
[0042] Among them, the field server 110 is a computer for field application, the smart data terminal 120 is an intelligent terminal connected with the field server 110 and the cloud server 130, and the cloud server 130 is a computing unit for interconnection.
[0043] The field server 110 is used for collecting the running data of the conveyor and sending the running data to the smart data terminal 120, and receiving the decision suggestion sent by the smart data terminal 120.
[0044] Among them, the running data of the conveyor is the relevant data generated in the working process of the conveyor, for example, it can be the load, output frequency, motor speed and the like of the conveyor.
[0045] In the present embodiment, the field server 110 is directly connected with the field conveyor, and the running data of the conveyor can be collected to the field server 110. The field server 110 is also connected with the smart data terminal 120, and the running data can be sent to the smart data terminal 120, and the decision suggestion sent by the smart data terminal 120 is stored in the field server 110.
[0046] Preferably, the on-site server 110 can include a running data communication module 111, a running data service module 112 and a technical support data module 113. The running data communication module 111 can obtain running data from the on-site conveyor; the running data service module 112 can provide the running data to the intelligent data terminal 120; and the technical support data module 113 can receive decision suggestions from the intelligent data terminal 120 and store them according to categories.
[0047] Optionally, the on-site server 110 and the intelligent data terminal 120 communicate through a serial communication mode, and the running data is read-only data.
[0048] The serial interface is a device that can convert parallel data characters received from a CPU into a continuous serial data stream and send them out, and can also convert received serial data streams into parallel data characters for the CPU. Serial communication is a communication mode of sending and receiving bytes through a serial interface. Further, to ensure the security of the on-site running data, the on-site server 110 can provide read-only running data to the intelligent data terminal 120 through the serial port, and receive decision suggestions sent by the intelligent data terminal 120 through the serial port.
[0049] The intelligent data terminal 120 is used to receive running data, send the running data to the cloud server 130, obtain decision suggestions matching the running data from the cloud server 130, and send the decision suggestions to the on-site server 110.
[0050] The decision suggestions can be instructions related to the operation of the conveyor, such as adjusting the output frequency of the conveyor to a certain set value, prompting the technical personnel to increase the number of spare parts, prompting the conveyor to have a certain fault, etc.
[0051] Preferably, the decision suggestions include conveyor operation decisions, spare parts suggestions and equipment manufacturer suggestions.
[0052] In this embodiment, the intelligent data terminal 120 connects the on-site server 110 and the cloud server 130, can obtain on-site running data of the conveyor from the on-site server 110, and can also obtain corresponding decision suggestions from the cloud server 130. Preferably, after the intelligent data terminal 120 receives the running data sent by the on-site server 110, the intelligent data terminal 120 can send the data to the cloud server 130, send a decision suggestion query request to the cloud server 130, and the cloud server 130 can match the decision suggestion database according to the specific content of the running data, extract the decision suggestions corresponding to the running data sent by the intelligent data terminal 120 and provide them to the intelligent data terminal 120.
[0053] Optionally, the intelligent data terminal 120 is specifically used for:
[0054] The running data is sent to the cloud server 130 through the user datagram protocol, the decision suggestion matched with the running data is obtained from the cloud server 130 through the hypertext transfer protocol, and the decision suggestion is converted into serial communication data and sent to the field server 110.
[0055] Preferably, the intelligent data terminal 120 can adopt two communication modes of internet access and serial communication, communicates with the field server 110 through the serial communication mode, obtains the read-only conveyor running data, and obtains the decision suggestion from the cloud server 130 through http. Further, in the process of sending the decision suggestion to the field server 110 by the intelligent data terminal 120, the decision suggestion only supports direct storage after text-to-byte transmission, thereby single communication is isolated from the field and the internet.
[0056] Preferably, the intelligent data terminal 120 can include a serial communication module 121, a conveyor data transmission module 122, and a decision suggestion acquisition module 123. Specifically, the intelligent data terminal 120 receives the conveyor running data sent by the field server 110 through the serial communication module 121; then transmits these running data to the cloud server 130 through the conveyor data transmission module 122 using UDP; and obtains the decision suggestion from the cloud server 130 through the decision suggestion acquisition module 123 using http at regular intervals; finally, the decision suggestion is converted into 16-bit data and transmitted to the field server 110 through the serial communication module 121.
[0057] The cloud server 130 is used to generate a unique network address for the conveyor, store the running data sent by the intelligent data terminal 120 through the unique network address, and receive the decision suggestion uploaded by the technical personnel and sent to the intelligent data terminal 120.
[0058] In the present embodiment, the cloud server 130 can realize conveyor running data sharing and provide technical support services. The cloud server 130 can communicate with multiple intelligent data terminals 120 and obtain relevant data of multiple conveyors and other devices. After obtaining the running data sent by the intelligent data terminal 120, the cloud server 130 can store these data in the corresponding position according to the corresponding network address. The technical personnel can access the data corresponding to each device according to the unique network address of the device, and judge the running condition of the device according to the accessed data, and give the corresponding decision suggestion, which is then uploaded to the storage address corresponding to the device through the unique network address.
[0059] Preferably, each conveyor or other device has a unique code, which can include running data. The cloud server 130 can generate a corresponding unique network address according to the unique code of the device.
[0060] Optionally, the cloud server 130 is further configured to generate an address two-dimensional code according to the unique network address, and the running data of the corresponding conveyor can be obtained by scanning the address two-dimensional code.
[0061] Specifically, the cloud server 130 can also generate an address two-dimensional code according to the unique network address of the device, and the address two-dimensional code is also unique. When accessing the running data, the technician can obtain the corresponding unique network address by scanning the address two-dimensional code, and realize the viewing of the running data and the uploading of the decision suggestions.
[0062] Preferably, the cloud server 130 can include a running data receiving module 131, a network service module 132, a data storage module 133, a two-dimensional code generation module 134, and a decision suggestion collection module 135. After the cloud server 130 obtains the running data sent by the intelligent data terminal 120 through the running data receiving module 131, the network service module 132 can generate a unique network address for the conveyor and other devices according to the unique code of the device; the data storage module 133 can store the running data according to the unique network address; the two-dimensional code generation module 134 can generate an address two-dimensional code according to the unique network address, which can be pasted on the conveyor and other field data, or sent to the technician or customer, so that they can view the real-time data by scanning the two-dimensional code; the decision suggestion collection module 135 can collect the decision suggestions uploaded by the technician to each unique network address, and the decision suggestion collection module 135 is associated with the data storage module 133, which can store the collected decision suggestions in the data storage module 133.
[0063] Optionally, the conveyor intelligent monitoring system further includes a host computer 140, and the field server 110 is further configured to send the decision suggestions to the host computer 140.
[0064] Figure 2 Another structure schematic diagram of the conveyor intelligent monitoring system provided by the embodiment one of the present application is shown in the figure. The host computer 140 is connected with the field server 110, and can obtain the decision suggestions sent by the field server 110.
[0065] Optionally, the host computer 140 is configured to receive the decision suggestions sent by the field server 110, convert the decision suggestions into running parameters recognizable by the conveyor, and send the running parameters to the conveyor through the field server 110, so that the conveyor runs according to the running parameters.
[0066] Optionally, the running parameters include conveyor balancing parameters, conveyor energy saving parameters, spare part analysis table and equipment analysis table, and the host computer 140 is further configured to store the conveyor balancing parameters, the conveyor energy saving parameters, the spare part analysis table and the equipment analysis table in a classified manner.
[0067] Specifically, since the decision suggestion obtained by the smart data terminal 120 from the cloud server 130 and sent to the on-site server 110 cannot be directly recognized by the on-site conveyor, the host computer 140 is needed to convert the decision suggestion into the running parameters of the conveyor balance parameter, the conveyor energy saving parameter, the spare part analysis table and the equipment analysis table and the like which can be recognized by the conveyor.
[0068] Specifically, the host computer 140 comprises a decision assistance application module 141, which can prompt on the host computer in flashing when detecting the decision suggestion of the conveyor, and convert the decision suggestion into new running parameters. Preferably, a parameter application button is arranged on the host computer 140, and the on-site staff can realize one-key adjustment of the conveyor parameters by manually applying the button. Moreover, the host computer 140 can also store the historical data of the conveyor, for example, when detecting the decision suggestion, the running parameters converted from the decision suggestion can be stored respectively for the conveyor balance parameter, the conveyor energy saving parameter, the spare part analysis table and the equipment analysis table and the like, and the running and maintenance history of the related equipment can be once tabulated and summarized to summarize the spare part or equipment maintenance opinions.
[0069] The conveyor intelligent monitoring system disclosed by the application comprises an on-site server, a smart data terminal and a cloud server; the on-site server is used for collecting the running data of the conveyor, sending the running data to the smart data terminal and receiving the decision suggestion sent by the smart data terminal; the smart data terminal is used for receiving the running data, sending the running data to the cloud server, obtaining the decision suggestion matched with the running data from the cloud server and sending the decision suggestion to the on-site server; and the cloud server is used for generating a unique network address for the conveyor, storing the running data sent by the smart data terminal through the unique network address and receiving the decision suggestion uploaded by the technical personnel and sent to the smart data terminal. The conveyor intelligent monitoring system disclosed by the application realizes network sharing of on-site data, and can make the on-site conveyor obtain the decision suggestion on the cloud server, realize precise equipment monitoring and adjustment at any time and anywhere. Further, by generating an address two-dimensional code according to the unique network address of the equipment, the data sharing and communication in the scanning code mode can be realized, and the convenience of data sharing is improved.
[0070] Embodiment two
[0071] Figure 3 A flowchart of a conveyor intelligent monitoring method provided for the embodiment two of the application, the method provided by the embodiment can be executed by the conveyor intelligent monitoring system in the above-mentioned embodiments. As shown in the figure, the method comprises the following steps. Figure 3
[0072] S210, collecting the running data of the conveyor through the on-site server, sending the running data to the smart data terminal and receiving the decision suggestion sent by the smart data terminal.
[0073] In the embodiment, the field server is directly connected with the field conveyor, and can collect the operation data of the conveyor to the field server. The field server is also connected with the intelligent data terminal, and can send the operation data to the intelligent data terminal, and receive the decision suggestion sent by the intelligent data terminal and store in the field server.
[0074] Optionally, the field server and the intelligent data terminal communicate through serial communication mode, and the operation data is read-only data.
[0075] Specifically, in order to ensure the security of the field operation data, the field server can provide the read-only operation data to the intelligent data terminal through the serial port, and receive the decision suggestion sent by the intelligent data terminal 120 through the serial port.
[0076] S220, receiving the operation data through the intelligent data terminal, and sending the operation data to the cloud server, obtaining the decision suggestion matched with the operation data from the cloud server, and sending the decision suggestion to the field server.
[0077] In the embodiment, the intelligent data terminal is connected with the field server and the cloud server, and can obtain the field operation data of the conveyor from the field server, and also can obtain the corresponding decision suggestion from the cloud server.
[0078] Preferably, after the intelligent data terminal receives the operation data sent by the field server, the intelligent data terminal can send these data to the cloud server, and send the decision suggestion query request to the cloud server. The cloud server matches in the stored decision suggestion database according to the specific content of the operation data, extracts the decision suggestion corresponding to the operation data sent by the intelligent data terminal and provides to the intelligent data terminal.
[0079] Optionally, the method of sending the operation data to the cloud server, obtaining the decision suggestion matched with the operation data from the cloud server, and sending the decision suggestion to the field server can be: sending the operation data to the cloud server through the user datagram protocol, obtaining the decision suggestion matched with the operation data from the cloud server through the hypertext transfer protocol, and converting the decision suggestion to serial communication data and sending to the field server.
[0080] Optionally, the decision suggestion includes the conveyor operation decision, the spare parts suggestion and the equipment manufacturer suggestion.
[0081] Specifically, the intelligent data terminal can adopt two communication modes of Internet access and serial port, communicates with the on-site server through the serial port communication mode, obtains the read-only conveyor operation data, and obtains the decision suggestion from the cloud server through http. Further, in the process of sending the decision suggestion to the on-site server by the intelligent data terminal, the decision suggestion only supports direct storage after text-to-byte transmission, thereby isolating the on-site and the Internet.
[0082] S230, through the cloud server, a unique network address is generated for the conveyor, the operation data sent by the intelligent data terminal is stored through the unique network address, and the decision suggestion uploaded by the technical personnel is received and sent to the intelligent data terminal.
[0083] In the embodiment, the cloud server can realize the sharing of the conveyor operation data and provide technical support services. The cloud server can communicate with one or more intelligent data terminals and obtain the related data of multiple conveyors and other equipment. After obtaining the operation data sent by the intelligent data terminal, the cloud server can store these data in the corresponding position according to the corresponding network address. The technical personnel can access the data corresponding to each device according to the unique network address of the device, and the technical personnel can judge the operation of the device according to the accessed data and give corresponding decision suggestions, which are then uploaded to the storage address corresponding to the device through the unique network address.
[0084] Further, the method further comprises: generating an address two-dimensional code according to the unique network address through the cloud server, and scanning the address two-dimensional code can obtain the operation data of the corresponding conveyor.
[0085] Specifically, the cloud server can also generate an address two-dimensional code according to the unique network address of the device. The address two-dimensional code is also unique. The technical personnel can obtain the corresponding unique network address by scanning the address two-dimensional code when accessing the operation data, and realize the viewing of the operation data and the uploading of the decision suggestion.
[0086] Further, the method further comprises: sending the decision suggestion to the upper computer through the on-site server.
[0087] Optionally, the method further comprises: receiving the decision suggestion sent by the on-site server through the upper computer, converting the decision suggestion into operation parameters recognizable by the conveyor, and sending the operation parameters to the conveyor through the on-site server, so that the conveyor operates according to the operation parameters.
[0088] Optionally, the operation parameters include conveyor balancing parameters, conveyor energy-saving parameters, spare part analysis table and equipment analysis table. The upper computer can also classify and store the conveyor balancing parameters, the conveyor energy-saving parameters, the spare part analysis table and the equipment analysis table.
[0089] Specifically, since the decision suggestion obtained from the cloud server by the intelligent data terminal and sent to the on-site server cannot be directly recognized by the on-site conveyor, the host computer needs to convert the decision suggestion into the running parameters such as the conveyor balancing parameter, the conveyor energy-saving parameter, the spare part analysis table and the equipment analysis table which can be recognized by the conveyor. Preferably, whenever the decision suggestion is detected, the host computer can store the conveyor balancing parameter, the conveyor energy-saving parameter, the spare part analysis table and the equipment analysis table, and make a table summary of the running and maintenance history of the related equipment, and summarize the spare part or equipment maintenance opinions after the decision suggestion is converted into the running parameters.
[0090] The conveyor intelligent monitoring method disclosed by the embodiment of the application is executed by the conveyor intelligent monitoring system provided by any embodiment of the application, and has the corresponding function modules and beneficial effects of the execution system.
[0091] Embodiment three
[0092] In some embodiments, the conveyor intelligent monitoring method can be implemented as a computer program which is tangibly contained in a computer readable storage medium.
[0093] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system on a chip systems (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
[0094] Computer programs used to implement the system of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program, when executed, cause functions / operations specified in the flow charts and / or block diagrams to be implemented. The computer program can be entirely executed on the machine, partially executed on the machine, partially executed on the machine as a stand-alone software package and partially executed on a remote machine or entirely executed on a remote machine or server.
[0095] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0096] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
[0097] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.
[0098] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.
[0099] It should be understood that the various forms of flow shown above can be used to reorder, add or delete steps. For example, each step described in the present application can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, which is not limited herein.
[0100] The above detailed description does not constitute a limitation on the scope of protection of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application shall be included in the scope of protection of the present application.
Claims
1. A conveyor intelligent monitoring system, characterized in that, include: On-site servers, smart data terminals, and cloud servers; The field server is used to collect the operation data of the conveyor, send the operation data to the smart data terminal, and receive decision suggestions sent by the smart data terminal. The intelligent data terminal is used to receive the operation data, send the operation data to the cloud server, obtain the decision suggestions matching the operation data from the cloud server, and send the decision suggestions to the field server; The cloud server is used to generate a unique network address for the conveyor, store the operating data sent by the smart data terminal through the unique network address, and receive the decision suggestions uploaded by the technicians and send them to the smart data terminal. The intelligent monitoring system for the conveyor also includes a host computer, and the field server is also used to send the decision suggestions to the host computer. The host computer is used to receive the decision suggestions sent by the field server, convert the decision suggestions into operating parameters that the conveyor can recognize, and send the operating parameters to the conveyor through the field server, so that the conveyor can operate according to the operating parameters; The operating parameters include conveyor balance parameters, conveyor energy-saving parameters, spare parts analysis table, and equipment analysis table. The host computer is also used to classify and store the conveyor balance parameters, conveyor energy-saving parameters, spare parts analysis table, and equipment analysis table.
2. The system according to claim 1, characterized in that, The field server communicates with the smart data terminal via serial communication, and the running data is read-only data.
3. The system according to claim 2, characterized in that, The intelligent data terminal is specifically used for: The system sends the operational data to the cloud server via User Datagram Protocol (UDP), retrieves the decision recommendations matching the operational data from the cloud server via Hypertext Transfer Protocol (HTTP), and converts the decision recommendations into serial communication data and sends them to the field server.
4. The system according to claim 1, characterized in that, The decision-making recommendations include conveyor operation decisions, spare parts recommendations, and equipment manufacturer recommendations.
5. The system according to claim 1, characterized in that, The cloud server is also used to generate an address QR code based on the unique network address, and the corresponding conveyor's operating data can be obtained by scanning the address QR code.
6. A method for intelligent monitoring of a conveyor, applicable to the intelligent monitoring system for a conveyor as described in any one of claims 1-5, characterized in that, include: The system collects the conveyor's operating data through a field server, sends the operating data to a smart data terminal, and receives decision suggestions from the smart data terminal. The system receives the operational data through the intelligent data terminal, sends the operational data to the cloud server, obtains the decision suggestions matching the operational data from the cloud server, and sends the decision suggestions to the field server. The cloud server generates a unique network address for the conveyor, stores the operating data sent by the smart data terminal through the unique network address, and receives decision suggestions uploaded by technicians and sends them to the smart data terminal.
7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that are used to cause a processor to execute the intelligent monitoring method for the conveyor as described in claim 6.
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