Intelligent data acquisition and analysis system for die-casting workshop
By designing an intelligent data acquisition and analysis system in the die-casting workshop, the problem of inconvenience in equipment management is solved, centralized management and real-time monitoring of the operation status and production data of the workshop equipment are realized, and production and operation efficiency are improved.
Patent Information
- Application Number
- CN202411549331.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-03-11
AI Technical Summary
There are many equipment in the die-casting workshop, and the equipment usage and operating status need to be known before it can be known, which makes the equipment inconvenient for centralized management and affects operating efficiency and production efficiency.
Design an intelligent data acquisition and analysis system, including workshop machine tool equipment, intermediate transmission equipment, cloud equipment and field terminal equipment. Through data acquisition, centralized display and comparison, real-time monitoring and management of workshop equipment operation status and production data are realized.
It realizes centralized management of the operation status and production data of the workshop equipment, can intuitively display the operation efficiency of the workshop, timely discover equipment failures and product problems, and improve production efficiency and operation efficiency.
Smart Images

Figure CN119596858A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of data collection and analysis systems for die-casting workshops, and in particular to an intelligent data collection and analysis system for die-casting workshops. Background Art
[0002] Die casting is a metal casting process characterized by applying high pressure to the molten metal in the mold cavity. The mold is usually made of a stronger alloy. The process is somewhat similar to injection molding. Most die castings are iron-free, such as zinc, copper, aluminum, magnesium, lead, tin, lead-tin alloys and their alloys. Depending on the type of die casting, a cold chamber die casting machine or a hot chamber die casting machine is required; Die-casting is carried out inside the die-casting workshop, which is the place where die-casting parts are produced and collected. There are often multiple die-casting equipment installed inside the die-casting workshop. Some die-casting workshops are also equipped with CNC machine tools for processing or repairing the mold cores used inside the die-casting machine. In the die-casting workshop, one person often manages one equipment or one person is in charge of one or two equipment.
[0003] However, there are many devices in the die-casting workshop, and the equipment usage status and operation status can only be known by reaching the vicinity of the equipment, which makes it inconvenient to centrally manage the equipment in the die-casting workshop, resulting in the operation efficiency and production efficiency of the die-casting workshop cannot be well improved; therefore, it does not meet the existing needs, and we propose an intelligent data collection and analysis system for die-casting workshops. Summary of the invention
[0004] The object of the present invention is to provide an intelligent data collection and analysis system for a die-casting workshop, so as to solve the problems raised in the above background technology that there are many devices in the die-casting workshop, and the equipment usage status and operation status can only be known when reaching the vicinity of the equipment, which makes it inconvenient to centrally manage the equipment in the die-casting workshop, resulting in the operation efficiency and production efficiency of the die-casting workshop cannot be well improved.
[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent data collection and analysis system for a die-casting workshop, comprising workshop machine tool equipment, intermediate transmission equipment, cloud equipment and on-site terminal equipment, wherein the workshop machine tool equipment comprises a die-casting machine tool, a machine tool operation panel and a signal transceiver; The intermediate transmission equipment includes a modem, an information comparison terminal, an information transmission harness and a first wireless router; The cloud devices include servers, storage devices, network devices, management platforms, security facilities, virtualization technologies and operating systems; The on-site terminal equipment includes a portable information terminal, a production large screen, a workshop large screen, a computer and a second wireless router.
[0006] Preferably, the modem is data-connected to the die-casting machine and the machine operation panel via an information harness, and the modem is electrically connected to the cloud device via a first wireless router.
[0007] Preferably, the portable information terminal, production large screen, workshop large screen, and computer are all electrically connected to the second wireless router via a wireless network, and the cloud device is electrically connected to the portable information terminal, production large screen, workshop large screen, and computer via the second wireless router.
[0008] Preferably, the information comparison terminal is carried by the equipment management personnel, the portable information terminal is carried by the workshop management personnel, and the production large screen and the workshop large screen are installed in the production hall and the workshop office respectively.
[0009] Preferably, the die-casting machine tool includes a mold closing mechanism, an injection mechanism, a hydraulic system, an electrical control system, components and a machine base; the mold closing mechanism includes a movable mold, a fixed mold and a guide mechanism; and the injection mechanism includes a barrel and an extrusion mechanism.
[0010] Preferably, a pressure sensor, a flow sensor, an operation sensor, a current sensor and a voltage sensor are also installed inside the die-casting machine, and the pressure sensor, the flow sensor, the operation sensor, the current sensor and the voltage sensor are electrically connected to the modulation regulator.
[0011] Preferably, the flow sensor is installed at the outlet of the extrusion mechanism, the operation sensor is connected to the hydraulic system, the pressure sensor is installed in the fixed mold of the closing mechanism, and the current sensor and voltage sensor are connected to the electrical control system.
[0012] Preferably, the production large screen is used to display the real-time operating status of each die-casting machine tool in the workshop, and the workshop large screen is used to display the utilization rate of all die-casting machine tools in the workshop.
[0013] Preferably, the utilization rate includes time utilization rate and production utilization rate, the time utilization rate includes load time and utilization time, and the utilization time includes equipment mold change time, tool replacement time, failure time, and adjustment time.
[0014] Preferably, the production utilization rate includes the number of products, qualified products and unqualified products.
[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects the operating status and production data of workshop equipment, bundles the collected data with production personnel information, and displays and compares the data in a centralized manner. It can intuitively display the operating efficiency of the workshop, take measures as soon as equipment fails, and identify the relevant responsible persons when product problems occur, thereby ensuring production and improving workshop operating efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is a system schematic diagram of the present invention; Figure 2 It is a schematic diagram of the workshop operation efficiency of the present invention; Figure 3 Schematic diagram of the process of the system of the present invention.
[0017] In the picture: 1. Die-casting machine; 2. Modulator; 3. Cloud device; 4. Information comparison terminal; 5. Machine tool operation panel; 6. Portable information terminal; 7. Production large screen; 8. Workshop large screen; 9. Computer. DETAILED DESCRIPTION
[0018] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.
[0019] like Figures 1 to 3 As shown, an intelligent data collection and analysis system for a die-casting workshop includes workshop machine tool equipment, intermediate transmission equipment, cloud equipment 3 and on-site terminal equipment.
[0020] The workshop machine tool equipment includes a die-casting machine 1, a machine tool operation panel 5 and a signal transceiver. A pressure sensor, a flow sensor, an operation sensor, a current sensor and a voltage sensor are also installed inside the die-casting machine 1. The pressure sensor, the flow sensor, the operation sensor, the current sensor and the voltage sensor are electrically connected to the modulator 2. The flow sensor is installed at the outlet of the extrusion mechanism, the operation sensor is connected to the hydraulic system, the pressure sensor is installed in the fixed mold of the closing mechanism, and the current sensor and the voltage sensor are connected to the electrical control system. The operation of the entire die-casting machine 1 is monitored through the pressure sensor, the flow sensor, the operation sensor, the current sensor and the voltage sensor, and the operation status of each part of the die-casting machine 1 is monitored in real time, and an alarm signal is sent to the modulator 2 as soon as a fault occurs during the operation of the die-casting machine 1.
[0021] The intermediate transmission equipment includes a modem 2, an information comparison terminal 4, an information transmission harness and a first wireless router. The modem 2 is data-connected to the die-casting machine 1 and the machine operation panel 5 via the information harness, and the modem 2 is electrically connected to the cloud device 3 via the first wireless router.
[0022] Cloud devices 3 include servers, storage devices, network devices, management platforms, security facilities, virtualization technology and operating systems.
[0023] The on-site terminal equipment includes a portable information terminal 6, a production large screen 7, a workshop large screen 8, a computer 9 and a second wireless router. The portable information terminal 6, the production large screen 7, the workshop large screen 8, and the computer 9 are all electrically connected to the second wireless router through a wireless network, and the cloud device 3 is electrically connected to the portable information terminal 6, the production large screen 7, the workshop large screen 8, and the computer 9 through the second wireless router.
[0024] The information comparison terminal 4 is carried by the equipment management personnel, and the portable information terminal 6 is carried by the workshop management personnel. The production large screen 7 and the workshop large screen 8 are installed in the production hall and the workshop office respectively. The production large screen 7 is used to display the real-time operating status of each die-casting machine tool 1 in the workshop, and the workshop large screen 8 is used to display the utilization rate of all die-casting machine tools 1 in the workshop.
[0025] The utilization rate includes time utilization rate and production utilization rate. The time utilization rate includes load time and utilization time. The utilization time includes equipment mold change time, tool replacement time, failure time, and adjustment time. The production utilization rate includes product quantity, qualified products, and unqualified products. The production efficiency of the product can be directly determined by the production utilization rate, and the operating efficiency of the equipment can be obtained by the time utilization rate. The operating efficiency of the workshop can be directly determined by comparing the time utilization rate with the production utilization rate.
[0026] Working principle: When collecting and analyzing data in the die-casting workshop, the equipment operator first starts the pressing machine tool 1 and checks the inside of the pressing machine tool 1 and replaces the mold. After the mold is replaced, the production data in the machine tool operation panel 5 is determined. After the data in the machine tool operation panel 5 is determined, the equipment workshop manager is communicated with. The workshop manager queries the production data of this equipment through the information comparison terminal 4, and compares the mold model inside the pressing machine tool 1 with the production data in the machine tool operation panel 5 through the data in the information comparison terminal 4. If there is an error in the comparison, the error is pointed out. After the production data comparison is correct, the workshop manager needs to change the equipment information of the pressing machine tool 1 to confirm the production through the information comparison terminal 4, and then start the pressing machine tool 1 for production; After the pressing machine tool 1 is put into production, the operating status of the pressing machine tool 1 is transmitted to the modem 2 through the information transmission harness. After receiving the operating data of the pressing machine tool 1, the modem 2 transmits the operating data to the cloud device 3 through the first wireless router for storage. At the same time, the information comparison terminal 4 also transmits the comparison information result of the pressing machine tool 1 data in operation to the cloud device 3 for storage. The cloud device 3 transmits the operating data of the pressing machine tool 1 to the portable information terminal 6, the production large screen 7, the workshop large screen 8 and the computer 9 through the second wireless router, and displays the real-time operating status of the pressing machine tool 1 on the production large screen 7 in real time. When the pressing machine tool 1 is stopped after production is completed, the pressing machine tool 1 transmits a signal to the cloud device 3 through the modem 2 and the first wireless router, and the cloud device 3 displays the shutdown status of the pressing machine tool 1 on the production large screen 7 through the second wireless router, so that when the workshop manager or the operator of the pressing machine tool 1 observes the shutdown signal, they can arrive at the pressing machine tool 1 as soon as possible and prepare for subsequent production; When a fault occurs during the production process of the pressing machine tool 1, the pressure sensor, flow sensor, operation sensor, current sensor, voltage sensor and other sensors installed inside the pressing machine tool 1 feed back the fault signal to the modulator 2 through the information transmission harness, the modulator 2 feeds back the signal to the cloud device 3 through the first wireless router, and the cloud device 3 sends the fault information to the information comparison terminal 4, the portable information terminal 6, the production screen 7, the workshop screen 8 and the computer 9 through the second wireless router, and publicly displays the fault information of the pressing machine tool 1, and reminds the workshop management personnel, the pressing machine tool 1 operators and the department management personnel to arrive at the scene as soon as possible and conduct troubleshooting to ensure that the production will not be interrupted. By collecting the operation data and production data of the pressing machine tool 1 and displaying them on the production screen 7, it is convenient to centrally manage the workshop equipment, and the use and operation status of the workshop equipment can be known. Then, the collected pressing machine tool 1 data is centrally processed, and the processed data is displayed on the workshop screen 8, so that the operation efficiency of the workshop can be intuitively determined, and it is convenient for the management personnel to adjust and improve the production and operation status of the workshop through the data.
[0027] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.
Claims
1. An intelligent data collection and analysis system for a die-casting workshop, comprising workshop machine tool equipment, intermediate transmission equipment, cloud equipment (3) and on-site terminal equipment, characterized in that: The workshop machine tool equipment comprises a die-casting machine tool (1), a machine tool operation panel (5) and a signal transceiver; The intermediate transmission equipment comprises a modem (2), an information comparison terminal (4), an information transmission harness and a first wireless router; The cloud devices (3) include servers, storage devices, network devices, management platforms, security facilities, virtualization technology and operating systems; The on-site terminal equipment includes a portable information terminal (6), a production large screen (7), a workshop large screen (8), a computer (9) and a second wireless router.
2. The intelligent data collection and analysis system for die casting workshop according to claim 1 is characterized by: The modulator (2) is data-connected to the die-casting machine tool (1) and the machine tool operating panel (5) via an information harness, and the modulator (2) is electrically connected to the cloud device (3) via a first wireless router.
3. The intelligent data collection and analysis system for die casting workshop according to claim 2 is characterized in that: The portable information terminal (6), the production large screen (7), the workshop large screen (8), and the computer (9) are all electrically connected to the second wireless router via a wireless network, and the cloud device (3) is electrically connected to the portable information terminal (6), the production large screen (7), the workshop large screen (8), and the computer (9) via the second wireless router.
4. The intelligent data collection and analysis system for die casting workshop according to claim 1 is characterized in that: The information comparison terminal (4) is carried by the equipment management personnel, the portable information terminal (6) is carried by the workshop management personnel, and the production large screen (7) and the workshop large screen (8) are installed in the production hall and the workshop office respectively.
5. The intelligent data collection and analysis system for die casting workshop according to claim 1 is characterized in that: The die-casting machine tool (1) comprises a mold-closing mechanism, an injection mechanism, a hydraulic system, an electrical control system, parts and a machine base; the mold-closing mechanism comprises a movable die, a fixed die and a guide mechanism; and the injection mechanism comprises a barrel and an extrusion mechanism.
6. The intelligent data collection and analysis system for die casting workshop according to claim 5 is characterized in that: A pressure sensor, a flow sensor, an operation sensor, a current sensor and a voltage sensor are also installed inside the die-casting machine tool (1), and the pressure sensor, the flow sensor, the operation sensor, the current sensor and the voltage sensor are electrically connected to the modulation regulator (2).
7. The intelligent data collection and analysis system for die casting workshop according to claim 6 is characterized by: The flow sensor is installed at the outlet of the extrusion mechanism, the operation sensor is connected to the hydraulic system, the pressure sensor is installed in the fixed mold of the closing mechanism, and the current sensor and the voltage sensor are connected to the electrical control system.
8. The intelligent data collection and analysis system for die casting workshop according to claim 4 is characterized by: The production large screen (7) is used to display the real-time operating status of each die-casting machine tool (1) in the workshop, and the workshop large screen (8) is used to display the utilization rate of all die-casting machine tools (1) in the workshop.
9. The intelligent data collection and analysis system for die casting workshop according to claim 8 is characterized in that: The utilization rate includes time utilization rate and production utilization rate. The time utilization rate includes load time and utilization time. The utilization time includes equipment mold change time, tool replacement time, failure time, and adjustment time.
10. The intelligent data collection and analysis system for die casting workshop according to claim 9, characterized in that: The production utilization rate includes the number of products, qualified products and unqualified products.