WO2018232844A1 - 一种智能车间管理方法和系统 - Google Patents
一种智能车间管理方法和系统 Download PDFInfo
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- WO2018232844A1 WO2018232844A1 PCT/CN2017/096019 CN2017096019W WO2018232844A1 WO 2018232844 A1 WO2018232844 A1 WO 2018232844A1 CN 2017096019 W CN2017096019 W CN 2017096019W WO 2018232844 A1 WO2018232844 A1 WO 2018232844A1
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- 238000007726 management method Methods 0.000 title claims abstract description 178
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- 238000005516 engineering process Methods 0.000 description 8
- 238000004519 manufacturing process Methods 0.000 description 8
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Definitions
- the present invention relates to the field of Internet of Things, and in particular to an intelligent workshop management method and system.
- the manufacturing industry integrates information technology, system control technology, electronic technology, communication technology, sensing technology and human resources. Therefore, the development level of the manufacturing industry directly reflects the productivity level of a country. With the continuous development of our society, the labor cost has gradually become the advantage of the manufacturing industry. This also requires the factory workshop automation to further improve the industrial Internet of Things.
- the Internet of Things is the Internet connected to the object, including the three layers of the perception layer, the network layer and the application layer.
- the perception layer as the front end of the Internet of Things, mainly uses various information sensing devices for information perception;
- the application layer acts as the back end of the Internet of Things, and mainly assumes the functions of information processing and human-computer interaction;
- the network layer is located in the sensing layer and application. Between the two layers, it plays the role of information transmission.
- the present invention provides an intelligent workshop management method and system.
- the present invention provides an intelligent workshop management method, and the method specifically includes:
- the shop standard database includes a personnel management sub-library, a product management sub-library, an environment management sub-library, and a device management sub-library;
- the adjustment instruction is output, and the personnel, products, environment and equipment of the workshop are managed.
- the invention provides an intelligent workshop management method, which aims to comprehensively and comprehensively manage the personnel, products, environment and equipment of the workshop.
- the shop standard database is preset.
- the shop standard database includes the personnel management sub-library, the product management sub-library, the environmental management sub-library, and the device management sub-library, and the workshop.
- the standard database provides standards for the determination of whether various states are normal.
- comprehensive data collection is performed.
- the collected objects include personnel data, product data, environmental data and equipment data in the workshop; again, combined with the shop standard database.
- the collected data is analyzed and it is judged whether the various states in the workshop are normal.
- the adjustment instruction is output to realize comprehensive and comprehensive management of the personnel, products, environment and equipment of the workshop.
- the feedback program specifically includes:
- Pre-processing a experience library including an experience event, the experience event corresponding to the abnormal event;
- the abnormal event and the empirical event are fed back.
- the optimization processing procedure after an abnormal event occurs is disclosed.
- the judgment result when the judgment result is abnormal, it indicates that an abnormal event has occurred in the workshop, and the management personnel need to be further notified to deal with the abnormal event in time to minimize the influence on the workshop.
- Pre-processing experience library processing multiple experience events in the experience library corresponding to various abnormal events, experience events are specific methods for handling abnormal events, different abnormal events correspond to different empirical events; obtaining judgment results for subsequent classification Prepare and feedback; classify the judgment results, and classify the judgment results to determine which type of abnormal events are in the personnel, product, environment, and equipment; and to obtain the anomalous events after the empirical events are obtained according to the abnormal events.
- the experience events are fed back to the management personnel.
- the management personnel can clearly know the specific information of the abnormal events, and can also deal with the abnormal events by referring to the empirical events.
- the present invention provides an intelligent workshop management system, the system comprising:
- a preset module configured to preset a shop standard database, where the shop standard database includes a personnel management sub-library, a product management sub-library, an environment management sub-library, and a device management sub-library;
- An acquisition module for collecting personnel data, product data, environmental data, and device data
- An analysis module for analyzing personnel data, product data, environmental data, and device data according to a shop floor standard database, and outputting the analysis result;
- the judging module is configured to judge whether the worker status, the product status, the environmental status, and the equipment status of the workshop are normal according to the analysis result, and output a judgment result;
- the management module is configured to output an adjustment instruction according to the judgment result, and manage the personnel, products, environment and equipment of the workshop.
- the invention provides an intelligent workshop management system, which comprises a preset module, an acquisition module, an analysis module, a judgment module and a management module. Preset the shop standard database through preset modules for various The criteria for determining whether the status is normal or not include the personnel management sub-library, the product management sub-library, the environmental management sub-library, and the device management sub-library; the acquisition module serves as the front end of the industrial Internet of Things and performs information through various information sensing devices. Perceptual acquisition, the object of perceptual collection includes personnel data, product data, environmental data and equipment data in the workshop; the role of the analysis module and the judgment module is to analyze the collected data in combination with the shop standard database, and to judge each in the workshop. Whether the state is normal; the management module is used to output adjustment instructions to adjust and control all aspects of the workshop, so that the workshop remains in a normal state.
- system further includes an execution module, and the execution module receives an adjustment instruction output by the management module, and manages a staff, an environment, and a device in the workshop;
- the execution module includes:
- the personnel execution unit is configured to perform the prohibition entry action when the number of workshops is greater than or equal to the maximum number of workshops, and to allow the entry action when the identity of the entrant matches the feature library, when the identity of the entrant and the feature library are not Perform a forbidden entry action when matching;
- the environmental execution unit is used to execute the adjustment instruction when the workshop temperature value does not meet the requirements of the workshop temperature standard, or the workshop humidity value does not meet the requirements of the workshop humidity standard, or the workshop particle value does not meet the requirements of the workshop particle number standard.
- the value, the plant humidity value and the plant particle value are adjusted;
- the device execution unit is configured to perform a forced shutdown action when the idle time is greater than the idle alarm threshold and when the calibration time is greater than the calibration alarm threshold.
- the personnel, environment and equipment of the workshop are directly managed by setting the execution module to receive the corresponding adjustment instruction.
- the judgment module judges that some abnormalities occur in the state of the personnel, the environmental state, and the state of the equipment in the workshop, the corresponding measures can be directly collected by the execution module to eliminate the abnormality in time, which helps to liberate the manpower. Simple actions are performed by the execution module, while human resources are used to analyze and optimize the system to maximize production efficiency.
- FIG. 1 is an architectural diagram of an intelligent workshop management system according to the present invention.
- FIG. 2 is a schematic diagram of interaction of an intelligent workshop management system according to the present invention.
- FIG. 3 is a schematic flow chart of a smart workshop management method according to the present invention.
- FIG. 5 is a schematic diagram of interaction between the products of the workshop according to the present invention.
- FIG. 6 is a schematic diagram of interaction of managing an environment of a workshop according to the present invention.
- FIG. 7 is a schematic diagram of interaction of managing equipment in a workshop according to the present invention.
- FIG. 8 is a schematic flowchart of a feedback procedure of the present invention.
- FIG. 1 is an architectural diagram of an intelligent workshop management system according to the present invention.
- An intelligent workshop management system includes a preset module 1, an acquisition module 2, an analysis module 3, a determination module 4, and a management module 5.
- the analysis module 3 includes a personnel information analysis unit 301, a product information analysis unit 302, an environment information analysis unit 303, and a device information analysis unit 304.
- the determination module 4 includes a personnel information determination unit 401, a product information determination unit 402, and an environment information determination unit 403.
- the management module 5 includes a person information management unit 501, a product information management unit 502, an environment information management unit 503, and a device information management unit 504.
- the acquisition module 2 serves as the front end of the industrial Internet of Things, and collects information through various information collection devices; the analysis module 3, the judgment module 4, and the management module 5 are used as the back end of the industrial Internet of Things, and are collected in combination with the preset module 1 The information is processed and the human-computer interaction function is implemented.
- the method of manually recording the shop data in the prior art is changed, the various data in the workshop are comprehensively collected, the personnel, products, environment and equipment in the workshop are managed and controlled, and the data of the workshop is automated and electronic. And real-time, help to create a factory that meets industry standards and provide the basis for quality control of products.
- FIG. 2 is a schematic diagram of interaction of an intelligent workshop management system according to the present invention.
- the preset data is collected and processed by the preset module 1, the acquisition module 2, the analysis module 3, the determination module 4, and the management module 5.
- the shop standard database is preset by the preset module 1.
- the shop standard database includes a personnel management sub-library, a product management sub-library, an environment management sub-library, and a device management sub-library; the shop standard database is a benchmark for subsequent analysis and judgment.
- the collection module 2 collects the personnel data, the product data, the environmental data and the device data;
- the acquisition module 2 has various implementation modes: when collecting the personnel data, the personnel data is collected through the access control system, and the entrant passes the card and outputs the password and Biometrics and other methods are used in the access control system.
- the entrants successfully pass the same time to count the number of people in the workshop; when collecting product data, the test data can be automatically captured by the test platform during the test of the product, and the electronic tag is passed.
- Technology acquires the real-time location of the product; when collecting environmental data, various sensors are used to collect environmental data at specific locations in the workshop; when collecting device data, Hall elements are set on the device, and Hall elements are used in real time.
- the analysis module 3 obtains a preset shop standard database, analyzes the collected personnel data, product data, environmental data, and device data based on the preset shop standard database, and outputs the analysis result; the analysis module 3 analyzes the process mainly.
- the process of data comparison such as comparing the feature database and the identity of the entrant.
- the judging module 4 judges whether the personnel state, the product state, the environmental state, and the device state of the workshop are normal, and outputs the judgment result, and the judgment is based on the analysis result; for example, the entrant is collected.
- the management module 5 After the identity feature is compared with the preset traffic feature database, when the identity feature does not match the traffic feature database, it indicates that the entrant does not have access rights, and at this time, the judgment result that the entrant has no traffic authority can be output. Finally, the management module 5 outputs an adjustment command to manage the personnel, products, environment, and equipment of the workshop; for example, when the identity of the entrant does not match the library of the feature, the access control system remains closed, and the entrant is not allowed to enter.
- the collection equipment is set up in all directions.
- the objects of data collection cover all aspects of the workshop, and then analyze and judge the data based on preset criteria, and manage the personnel, products, environment and equipment in the workshop.
- Multi-dimensional, multi-angle monitoring of various data in the workshop to achieve a comprehensive industrial Internet of Things.
- FIG. 3 is a schematic flowchart of a smart workshop management method according to the present invention.
- An intelligent workshop management method specifically includes:
- the shop standard database includes a personnel management sub-library, a product management sub-library, an environment management sub-library, and a device management sub-library;
- the analysis of the personnel data, the product data, the environmental data and the device data according to the preset shop standard database includes: analyzing the personnel data based on the personnel management sub-library, and performing product data based on the product management sub-library Analyze, analyze the environmental data based on the environmental data sub-library, and analyze the device data based on the device data sub-library.
- An intelligent workshop management system corresponding to an intelligent workshop management method comprising:
- the preset module 1 is configured to preset a shop standard database, where the shop standard database includes a personnel management sub-library, a product management sub-library, an environment management sub-library, and a device management sub-library;
- the acquisition module 2 is configured to collect personnel data, product data, environmental data, and device data;
- the analysis module 3 is configured to analyze the personnel data, the product data, the environmental data and the device data according to the workshop standard database, and output the analysis result;
- the determining module 4 is configured to determine, according to the analysis result, whether the personnel state, the product state, the environmental state, and the device state of the workshop are normal, and output a judgment result;
- the management module 5 is configured to output an adjustment instruction according to the judgment result, and manage the personnel, the product, the environment, and the equipment in the workshop.
- the analysis module 3 compares the personnel data, the product data, and the environment according to the shop standard database. According to the analysis of the device data, the personnel data is analyzed based on the personnel management sub-library, the product data is analyzed based on the product management sub-library, the environmental data is analyzed based on the environmental data sub-library, and the device data is based on the device data sub-library. Analyze.
- the pre-set module 1 presets the shop standard database to provide criteria for determining whether the various states are normal.
- the shop standard database includes the personnel management sub-library, the product management sub-library, the environment management sub-library, and the device management sub-library; the acquisition module 2
- information-aware collection is performed by various information sensing devices.
- the objects that are perceived to be collected include personnel data, product data, environmental data, and device data in the workshop; the functions of the analysis module 3 and the judgment module 4 are The collected data is analyzed in combination with the shop standard database, and it is judged whether the various states in the workshop are normal; and the management module 5 is used for outputting the adjustment command to adjust and control all aspects of the workshop, so that the workshop remains in a normal state.
- the invention is mainly divided into four aspects of management of the workshop personnel, management of the products of the workshop, management of the environment of the workshop and management of the equipment of the workshop, and the detailed technical schemes of each aspect are respectively shown in Fig. 4-7. .
- FIG. 4 is a schematic diagram of interaction between the personnel of the workshop according to the present invention.
- the personnel management sub-library includes the traffic feature code set and the maximum number of workshops, and the personnel data includes identity characteristics and the number of workshops.
- the steps to manage the staff in the workshop include:
- the output prohibition entry instruction is output when the number of workshops is greater than or equal to the maximum number of workshops, and the identity of the entrant is further identified when the number of workshops is less than the maximum number of workshops;
- the output allows the entry instruction when the identity of the entrant matches the feature library, and the prohibition entry instruction is output when the identity feature of the entrant does not match the feature library.
- the number of people in the workshop is strictly controlled.
- the prohibition entry instruction is output. No one can enter the workshop. Only the other people in the workshop will be out of the workshop.
- the identity of the entrant is further identified, and the feature library is preset. By collecting the identity characteristics of the entrant and comparing with the feature database, it is determined whether the identity characteristics of the entrant match the traffic characteristics database.
- the system for managing the personnel of the workshop includes a preset module 1, an acquisition module 2, an analysis module 3, a determination module 4, and a management module 5.
- the preset module 1 is configured to preset a traffic feature code set and a maximum number of workshops;
- the collecting module 2 is configured to collect statistics on the number of workers in the workshop and to collect the identity characteristics of the entrant; in particular, the personnel data can be collected through the access control system, and the entrant passes the access control by means of swiping, outputting a password and biometric identification. In the system, the number of people in the workshop is counted while the entrant successfully passes.
- the analysis module 3 includes a personnel information analysis unit 301, the determination module 4 includes a personnel information determination unit 401, the management module 5 includes a personnel information management unit 501;
- the personnel information analysis unit 301 is configured to compare the maximum number of workshops and the number of workshops, the comparison feature library, and the identity characteristics of the entrants;
- the personnel information determining unit 401 is configured to determine whether the number of workshops exceeds the maximum number of workshops and determine whether the identity characteristics of the entrant match the traffic characteristic database;
- the personnel information management unit 501 is configured to output an prohibition entry instruction when the number of workshops is greater than or equal to a maximum number of workshops, and further identify an entrant identity when the number of workshops is less than a maximum number of workshops, the identification of the entrant identity including when entering When the identity feature of the person matches the feature library, the output allows the entry instruction and the output prohibition entry command is output when the identity pattern of the entrant does not match the feature library.
- the personnel information analysis unit 301 compares the maximum number of workshops and the number of workshops, compares the feature database of the pass and the identity characteristics of the entrant, obtains the analysis result, and sends the analysis result to the personnel information judgment unit. 401.
- the personnel information determination unit 401 determines whether the number of workshops exceeds the maximum number of workshops based on the personnel management sub-library and determines whether the identity characteristics of the entrant matches the traffic characteristic database. As a result, the judgment result is sent to the person information management unit 501.
- the person information management unit 501 controls the number of people in the workshop and the traffic authority to realize the management of the workshop personnel.
- a temporary control method is also provided, and in some special cases, a specific visitor may be allowed to enter through the temporary control method, including:
- the number of people entering the workshop is obtained.
- the output is allowed to enter the command.
- system further includes a temporary control module, and the temporary control module includes:
- the application instruction acquisition unit is configured to determine whether the identity feature of the entrant matches the traffic feature database, and obtain a temporary application instruction of the entrant when the identity feature of the entrant matches the traffic feature database;
- An information collection table generating unit configured to generate a visitor information collection table according to the temporary application instruction
- the information collection table perfecting unit is used to receive information collection data and improve the visitor information collection form
- a temporary access instruction unit for outputting a temporary access instruction, allowing an entrant having access rights to carry a visitor into the workshop;
- the Temporary Passage Control Unit is used to obtain the number of people entering the workshop. When the number of people entering the workshop is 2, the output is allowed to enter the command.
- FIG. 5 is a schematic diagram of interaction between the products of the workshop according to the present invention.
- the product management sub-library includes test parameter standards and storage location information.
- the storage location information includes the qualified product location and the defective product location, and the product data includes the product test data and the real-time location of the product.
- the steps to manage the products in the workshop include:
- the storage location information and the real-time location of the product it is judged whether the qualified product is put into the qualified product location and whether the defective product is stored in the defective product storage position;
- the location adjustment reminder information is sent until the qualified product is put into the qualified product location and the defective product is stored in the warehouse. Good position.
- the test parameter standard and the storage location information are preset, and the product is tested according to the test parameter standard.
- the product test data conforms to the test parameter standard as a qualified product, and the product test data does not conform to the test.
- the standard of the parameters is defective.
- the storage location information defines the standard location of qualified products and defective products, that is, the qualified product location and the defective product location. Take the real-time position of the product, determine whether the qualified product is stored in the qualified product location, determine whether the defective product is stored in the defective product location, and when the qualified product is not in the warehouse to the qualified product location and/or the defective product is not in the warehouse In the case of defective product location, the product position is deemed to be inconsistent with the requirements.
- the location adjustment reminder message is issued until the manager transfers the product to the corresponding position, and the qualified product is put into the qualified product location and the defective product is stored in the warehouse. Up to the good position, the quality products and defective products are stored in the correct position to prevent confusion, resulting in shipping errors and customer complaints.
- the system for managing products in the workshop includes a preset module 1, an acquisition module 2, an analysis module 3, a determination module 4, and a management module 5.
- Preset module 1 for presetting test parameter standards and storage location information
- the acquisition module 2 is configured to obtain product test data and real-time location of the product; specifically, when collecting product data, the test data can be automatically captured by the test platform in the process of testing the product, and the product is obtained through the electronic label technology. Real time location
- the analysis module 3 includes a product information analysis unit 302, the determination module 4 includes a product information determination unit 402, and the management module 5 includes a product information management unit 502;
- the product information analysis unit 302 is configured to compare product test data and test parameter standards
- the product information determining unit 402 is configured to determine whether the product is a qualified product or a defective product, determine whether the qualified product is put into the qualified product storage location, and determine whether the defective product is stored in the defective product storage location;
- the product information management unit 502 is configured to issue a location adjustment reminding information when the qualified product is not in the warehouse to the qualified product location and/or the defective product is not stored in the defective product location, until the qualified product is put into the warehouse to be qualified.
- the product location and defective products are stored in the defective product location.
- the QR code is attached to the outer box of the product.
- the QR code contains the model number, serial number, quantity, qualified product or defective product and storage location information, etc., in the subsequent storage and shipment. In the link, you only need to scan the QR code to know the specific information of the product.
- a scanner is installed in the warehouse, and after the product is put into the warehouse, the scanner is used to read the QR code to complete the storage operation of the product. When the product test is completed, the system will automatically allocate the storage location information.
- the location adjustment reminder information is sent, and the management personnel put the product into the corresponding location. Then, use the scanner to read the QR code to confirm the position of the product, and then stop sending the location adjustment reminder information. Automate product management by controlling the location of the product in the system.
- FIG. 6 is a schematic diagram of interaction between the environment of the workshop according to the present invention.
- the environmental management sub-library includes workshop temperature standards, workshop humidity standards, and shop particle count standards.
- Environmental data includes shop floor temperature values, shop floor humidity values, and shop floor particle values.
- the steps to manage the environment of the workshop include:
- the environmental management sub-library and environmental data it is judged whether the workshop temperature value meets the requirements of the workshop temperature standard, whether the workshop humidity value meets the requirements of the workshop humidity standard, and whether the workshop particle value meets the requirements of the workshop particle number standard;
- the corresponding output adjustment command is for the workshop temperature value and the workshop humidity value. Adjust the value of the plant particles until the workshop temperature value meets the requirements of the workshop temperature standard, the workshop humidity value meets the requirements of the workshop humidity standard, and the workshop particle value meets the requirements of the workshop particle number standard.
- the workshop temperature value, the workshop humidity value and the workshop particle value are very important parameters.
- the 100-level clean room requires the temperature, humidity and particle number in the workshop to be controlled in one.
- the workshop environment is adjusted in time, so that the environmental data in the workshop meets the workshop temperature standard, the workshop humidity standard and the workshop particle number standard at all times, providing a good workshop environment for quality control in the production process.
- the system for managing the environment of the workshop includes a preset module 1, an acquisition module 2, an analysis module 3, a determination module 4, and a management module 5.
- Preset module 1 for presetting the workshop temperature standard, the workshop humidity standard and the workshop particle number standard
- the acquisition module 2 is configured to collect the workshop temperature value, the workshop humidity value and the workshop particle value in real time; specifically, various sensors are collected at specific positions in the workshop, such as a temperature sensor, a humidity sensor, and a particle number sensor, and are collected by various sensors.
- various sensors are collected at specific positions in the workshop, such as a temperature sensor, a humidity sensor, and a particle number sensor, and are collected by various sensors.
- Various environmental data such as a temperature sensor, a humidity sensor, and a particle number sensor
- the analysis module 3 includes an environment information analysis unit 303, the determination module 4 includes an environment information determination unit 403, and the management module 5 includes an environment information management unit 503;
- the environmental information analysis unit 303 is configured to compare the workshop temperature value with the workshop temperature standard, the comparison workshop humidity value and the workshop humidity standard, the comparison workshop particle value and the workshop particle number standard;
- the environment information determining unit 403 is configured to determine, according to the environment management sub-library and the environmental data, whether the workshop temperature value meets the requirements of the workshop temperature standard, determine whether the workshop humidity value meets the requirements of the workshop humidity standard, and determine whether the workshop particle value conforms to the workshop particle. Number of standards;
- the environmental information management unit 503 is configured to: when the workshop temperature value does not meet the requirements of the workshop temperature standard, or the workshop humidity value does not meet the requirements of the workshop humidity standard, or the workshop particle value does not meet the requirements of the workshop particle number standard, the corresponding output Adjustment command for workshop temperature value, workshop humidity value Adjust the value of the plant particles until the workshop temperature value meets the requirements of the workshop temperature standard, the workshop humidity value meets the requirements of the workshop humidity standard, and the workshop particle value meets the requirements of the workshop particle number standard.
- the standard preset and the data collection are performed first, and then the environment information analysis unit 303 compares the preset standard with the collected data to obtain an analysis result, and sends the analysis result to the environment information determining unit 403, and the environment information determining unit 403 receives the result.
- the environmental management sub-library and the environmental data are used to judge whether the environment of the workshop meets the requirements, output the judgment result, and send the judgment result to the environment information management unit 503, the environment information management unit.
- the corresponding output adjustment instruction adjusts the workshop temperature value, the workshop humidity value, and the workshop particle value to realize real-time monitoring and control of the workshop environment.
- FIG. 7 is a schematic diagram of interaction of managing equipment in a workshop according to the present invention.
- the device management sub-library includes an idle alarm threshold and a calibration alarm threshold.
- the device data includes an idle time and a calibration time.
- the idle time is the idle time after the device is powered on, and the calibration time is the time after the device is last calibrated.
- the steps to manage the equipment in the workshop include:
- a warning is output, indicating that the device is in a long-term idle state until the idle time is less than or equal to the idle alarm threshold;
- a warning is output, indicating that the device is in a state to be calibrated until the calibration time is less than or equal to the calibration alarm threshold.
- the status of the equipment in the workshop is monitored.
- Equipment is very important for production.
- One is that the equipment is idling for a long time due to operator neglect, and the other is that the equipment is not calibrated for a long time.
- the equipment control is particularly prominent.
- the device is in a state to be calibrated, and a warning is output to indicate that the device is in an abnormal state, so that automatic monitoring can be realized without having to control the standard time of the device by the calibration mark as in the conventional workshop, and the operation manual is used to avoid the device idling for a long time.
- the system for managing equipment in the workshop includes a preset module 1, an acquisition module 2, an analysis module 3, a determination module 4, and a management module 5.
- the preset module 1 is configured to preset an idle alarm threshold and a calibration alarm threshold
- the acquisition module 2 is configured to collect idle time and calibration time of the device; specifically, by setting a Hall element on the device, the Hall element is used to monitor the state of the device in real time, including power-on and idle states;
- the analysis module 3 includes a device information analysis unit 404, the determination module 4 includes a device information determination unit 404, and the management module 5 includes a device information management unit 504;
- the device information analyzing unit 304 is configured to compare an idle time and an idle alarm threshold, a comparison calibration time, and a calibration alarm threshold;
- the device information determining unit 404 is configured to determine, according to the device management sub-library and the device data, whether the idle time is greater than an idle alarm threshold, and determine whether the calibration time is greater than a calibration alarm threshold;
- the device information management unit 504 is configured to output a warning when the idle time is greater than the idle alarm threshold, and prompt the device to be in a long-term idle state until the idle time is less than or equal to the idle alarm threshold, and output a warning when the calibration time is greater than the calibration alarm threshold.
- the device is in a state to be calibrated until the calibration time is less than or equal to the calibration alarm threshold. Specifically, when the manager powers off the device, the Hall component detects the power-off state, and the idle time is cleared. At this time, the idle time is again less than the idle alarm threshold; when the manager calibrates the device, the Hall component monitors the calibration. The status, the calibration time is cleared, and the calibration time is again less than the calibration alarm threshold.
- the device information analyzing unit 304 compares the idle time and the idle alarm threshold, compares the calibration time with the calibration alarm threshold, obtains the analysis result, and sends the analysis result to the device information determining unit 404; device information.
- the determining unit 404 determines whether the idle time is greater than the idle alarm threshold according to the device management sub-library and the device data, determines whether the calibration time is greater than the calibration alarm threshold, obtains the determination result, and obtains the determination result.
- the device information management unit 504 receives the determination result sent by the device information determining unit 404, and when the device in the workshop is abnormal, outputs a warning to implement automatic control of the device.
- FIG. 8 is a schematic flowchart of a feedback procedure of the present invention. It is determined whether the personnel status, the product status, the environmental status, and the equipment status of the workshop are normal, and the judgment result is output. When the judgment result is abnormal, an abnormal event occurs, and the feedback program is further executed.
- the feedback program specifically includes:
- P1 a preset processing experience library, where the processing experience library includes an experience event, and the experience event corresponds to an abnormal event;
- P3 classifying the judgment result to determine an abnormal event
- the present invention also performs unified management of sewage treatment and waste gas treatment in the workshop.
- the workshop standard database further includes a sewage management sub-library and an exhaust gas management sub-library
- the intelligent workshop management method includes:
- the preset workshop standard database further includes a sewage management sub-library and an exhaust gas management sub-library, the sewage management sub-library includes a sewage discharge standard, and the exhaust gas management sub-library includes an exhaust emission standard;
- the sewage data is analyzed according to the sewage discharge standard, and the exhaust gas data is analyzed according to the exhaust emission standard, and the analysis result is output;
- the adjustment instruction is output to manage the sewage discharge and exhaust emission of the workshop.
- an intelligent workshop management system includes:
- the preset module 1 is configured to preset a shop standard database, and the shop standard data further includes a sewage management sub-library and an exhaust gas management sub-library, the sewage management sub-library includes a sewage discharge standard, and the exhaust gas management sub-library includes an exhaust emission standard;
- the collecting module 2 is configured to collect sewage data and exhaust gas data
- the analysis module 3 is configured to analyze the sewage data according to the sewage discharge standard, analyze the exhaust gas data according to the exhaust emission standard, and output the analysis result;
- the judging module 4 is configured to judge whether the sewage state and the exhaust gas state of the workshop are normal according to the analysis result, and output a judgment result;
- the management module 5 is configured to output an adjustment instruction according to the judgment result, and manage the sewage discharge and the exhaust emission of the workshop.
- sewage and waste gas will be generated. If the harmful substances in the sewage and waste gas exceed the standard, the environment will be destroyed after being discharged.
- the sewage management sub-library and the waste gas management sub-bank are preset, and the sewage data and waste gas data are collected, the sewage data is analyzed according to the sewage discharge standard, and the exhaust gas data is analyzed according to the exhaust emission standard to determine whether the sewage state and the exhaust gas state of the workshop are Normally, only when the normal management module 5 outputs the adjustment command to allow the discharge, when the sewage state and the exhaust gas state are abnormal, the discharge port is blocked and the discharge is prohibited, which helps to protect the environment and achieve economic sustainable development.
- the disclosed apparatus and method may be implemented in other manners.
- the device embodiments described above are merely illustrative.
- the division of cells is only a logical function division.
- multiple units or components may be combined or integrated. Go to another system, or some features can be ignored or not executed.
- the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.
- each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
- An integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, can be stored in a computer readable storage medium.
- the technical solution of the present invention contributes in essence or to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium.
- a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the various embodiments of the present invention.
- the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .
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Abstract
Description
Claims (10)
- 一种智能车间管理方法,其特征在于,具体包括:预设车间标准数据库,所述车间标准数据库包括人员管理子库、产品管理子库、环境管理子库和设备管理子库;采集人员数据、产品数据、环境数据和设备数据;根据所述车间标准数据库对所述人员数据、所述产品数据、所述环境数据和所述设备数据进行分析,输出分析结果;根据所述分析结果判断车间的人员状态、产品状态、环境状态和设备状态是否正常,输出判断结果;根据所述判断结果输出调整指令,对车间的人员、产品、环境和设备进行管理。
- 根据权利要求1所述的一种智能车间管理方法,其特征在于,所述人员管理子库包括通行特征码集和车间人数最大值,所述人员数据包括身份特征和车间人数,所述对车间的人员进行管理的步骤包括:对比所述车间人数和所述车间人数最大值,判断所述车间人数是否超过所述车间人数最大值;当所述车间人数大于或等于所述车间人数最大值时输出禁止进入指令,当所述车间人数小于所述车间人数最大值时进一步识别进入者身份;对比所述通行特征库和进入者的所述身份特征,判断进入者的所述身份特征与所述通行特征库是否匹配;当进入者的所述身份特征与所述通行特征库匹配时输出允许进入指令,当进入者的所述身份特征与所述通行特征库不匹配时输出禁止进入指令。
- 根据权利要求1所述的一种智能车间管理方法,其特征在于,所述产品管理子库包括测试参数标准和入库位置信息,所述入库位置信息包括合格品库位和不良品库位,所述产品数据包括产品测试数据和产品实时位置,所述对车间的产品进行管理的步骤包括:对比所述产品测试数据和所述测试参数标准,判断产品为合格品或不良品;根据所述入库位置信息和所述产品实时位置判断所述合格品是否入库到所述合格品库位和判断所述不良品是否入库到所述不良品库位;当所述合格品未入库到所述合格品库位和/或所述不良品未入库到所述不良品库位时,发出库位调整提醒信息,直到所述合格品入库到所述合格品库位且所述不良品入库到所述不良品库位。
- 根据权利要求1所述的一种智能车间管理方法,其特征在于,所述环境管理子库包括车间温度标准、车间湿度标准和车间粒子数标准,所述环境数据包括车间温度值、车间湿度值和车间粒子数值,所述对车间的环境进行 管理的步骤包括:对比所述车间温度值与所述车间温度标准、对比所述车间湿度值与所述车间湿度标准、对比所述车间粒子数值与所述车间粒子数标准;根据所述环境管理子库和所述环境数据判断所述车间温度值是否符合所述车间温度标准的要求、判断所述车间湿度值是否符合所述车间湿度标准的要求、判断所述车间粒子数值是否符合所述车间粒子数标准的要求;当所述车间温度值不符合所述车间温度标准的要求、或者所述车间湿度值不符合所述车间湿度标准的要求、或者所述车间粒子数值不符合所述车间粒子数标准的要求时,对应输出调节指令对所述车间温度值、所述车间湿度值和所述车间粒子数值进行调节,直到所述车间温度值符合所述车间温度标准的要求、所述车间湿度值符合所述车间湿度标准的要求和所述车间粒子数值符合所述车间粒子数标准的要求。
- 根据权利要求1所述的一种智能车间管理方法,其特征在于,所述设备管理子库包括闲置告警阈值和校准告警阈值,所述设备数据包括闲置时间和校准时间,所述闲置时间为设备上电后的空转时间,所述校准时间为设备距上次校准后的时间,所述对车间的设备进行管理的步骤包括:对比所述闲置时间与所述闲置告警阈值、对比所述校准时间与所述校准告警阈值;根据所述设备管理子库和所述设备数据判断所述闲置时间是否大于所述闲置告警阈值、判断所述校准时间是否大于所述校准告警阈值;当所述闲置时间大于所述闲置告警阈值时输出警告,提示设备处于长期空转状态,直到所述闲置时间小于或等于所述闲置告警阈值;当所述校准时间大于所述校准告警阈值时输出警告,提示设备处于待校准状态,直到所述校准时间小于或等于所述校准告警阈值。
- 一种智能车间管理系统,其特征在于,包括:预设模块,用于预设车间标准数据库,所述车间标准数据库包括人员管理子库、产品管理子库、环境管理子库和设备管理子库;采集模块,用于采集人员数据、产品数据、环境数据和设备数据;分析模块,用于根据所述车间标准数据库对所述人员数据、所述产品数据、所述环境数据和所述设备数据进行分析,输出分析结果;判断模块,用于根据所述分析结果判断车间的人员状态、产品状态、环境状态和设备状态是否正常,输出判断结果;管理模块,用于根据所述判断结果输出调整指令,对车间的人员、产品、环境和设备进行管理。
- 根据权利要求6所述的一种智能车间管理系统,其特征在于,所述人员管理子库包括通行特征码集和车间人数最大值,所述人员数据包括身份特 征和车间人数;所述分析模块包括人员信息分析单元,所述判断模块包括人员信息判断单元,所述管理模块包括人员信息管理单元;所述人员信息分析单元,用于对比所述车间人数和所述车间人数最大值、对比所述通行特征库和进入者的所述身份特征;所述人员信息判断单元,用于判断所述车间人数是否超过所述车间人数最大值和判断进入者的所述身份特征与所述通行特征库是否匹配;所述人员信息管理单元,用于当所述车间人数大于或等于所述车间人数最大值时输出禁止进入指令和当所述车间人数小于所述车间人数最大值时进一步识别进入者身份,所述识别进入者身份包括当进入者的所述身份特征与所述通行特征库匹配时输出允许进入指令和当进入者的所述身份特征与所述通行特征库不匹配时输出禁止进入指令。
- 根据权利要求6所述的一种智能车间管理系统,其特征在于,所述产品管理子库包括测试参数标准和入库位置信息,所述入库位置信息包括合格品库位和不良品库位,所述产品数据包括产品测试数据和产品实时位置;所述分析模块包括产品信息分析单元,所述判断模块包括产品信息判断单元,所述管理模块包括产品信息管理单元;所述产品信息分析单元,用于对比所述产品测试数据和所述测试参数标准;所述产品信息判断单元,用于判断产品为合格品或不良品、判断合格品是否入库到所述合格品库位和判断不良品是否入库到所述不良品库位;所述产品信息管理单元,用于当合格品未入库到所述合格品库位和/或不良品未入库到所述不良品库位时,发出库位调整提醒信息,直到合格品入库到所述合格品库位且不良品入库到所述不良品库位。
- 根据权利要求6所述的一种智能车间管理系统,其特征在于,所述环境管理子库包括车间温度标准、车间湿度标准和车间粒子数标准,所述环境数据包括车间温度值、车间湿度值和车间粒子数值;所述分析模块包括环境信息分析单元,所述判断模块包括环境信息判断单元,所述管理模块包括环境信息管理单元;所述环境信息分析单元,用于对比所述车间温度值与所述车间温度标准、对比所述车间湿度值与所述车间湿度标准、对比所述车间粒子数值与所述车间粒子数标准;所述环境信息判断单元,用于根据所述环境管理子库和所述环境数据判断所述车间温度值是否符合所述车间温度标准的要求、判断所述车间湿度值是否符合所述车间湿度标准的要求、判断所述车间粒子数值是否符合所述车间粒子数标准的要求;所述环境信息管理单元,用于当所述车间温度值不符合所述车间温度标准的要求、或者所述车间湿度值不符合所述车间湿度标准的要求、或者所述车间粒子数值不符合所述车间粒子数标准的要求时,对应输出调节指令对所述车间温度值、所述车间湿度值和所述车间粒子数值进行调节,直到所述车间温度值符合所述车间温度标准的要求、所述车间湿度值符合所述车间湿度标准的要求和所述车间粒子数值符合所述车间粒子数标准的要求。
- 根据权利要求6所述的一种智能车间管理系统,其特征在于,所述设备管理子库包括闲置告警阈值和校准告警阈值,所述设备数据包括闲置时间和校准时间,所述闲置时间为设备上电后的空转时间,所述校准时间为设备距上次校准后的时间;所述分析模块包括设备信息分析单元,所述判断模块包括设备信息判断单元,所述管理模块包括设备信息管理单元;所述设备信息分析单元,用于对比所述闲置时间与所述闲置告警阈值、对比所述校准时间与所述校准告警阈值;所述设备信息判断单元,用于根据所述设备管理子库和所述设备数据判断所述闲置时间是否大于所述闲置告警阈值、判断所述校准时间是否大于所述校准告警阈值;所述设备信息管理单元,用于当所述闲置时间大于所述闲置告警阈值时输出警告,提示设备处于长期空转状态,直到所述闲置时间小于或等于所述闲置告警阈值,当所述校准时间大于所述校准告警阈值时输出警告,提示设备处于待校准状态,直到所述校准时间小于或等于所述校准告警阈值。
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