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 PDF

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Publication number
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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WIPO (PCT)
Prior art keywords
workshop
product
data
standard
personnel
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PCT/CN2017/096019
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English (en)
French (fr)
Inventor
杜光东
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深圳市盛路物联通讯技术有限公司
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Publication of WO2018232844A1 publication Critical patent/WO2018232844A1/zh

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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], 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], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • 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
    • 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

本发明涉及一种智能车间管理方法和系统，方法包括：预设车间标准数据库；采集人员数据、产品数据、环境数据和设备数据；对人员数据、产品数据、环境数据和设备数据进行分析；判断车间内的各种状态是否正常；输出调整指令，对车间的人员、产品、环境和设备进行管理。系统包括：预设模块，用于预设车间标准数据库；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，用于对人员数据、产品数据、环境数据和设备数据进行分析；判断模块，用于判断车间内的各种状态是否正常；管理模块，用于输出调整指令，对车间的人员、产品、环境和设备进行管理。通过上述方法和系统，实现对车间的人员、产品、环境和设备综合全面的管理。

Description

一种智能车间管理方法和系统 技术领域
本发明涉及物联网领域，具体涉及一种智能车间管理方法和系统。
背景技术
制造业整合了信息技术、系统控制技术、电子技术、通信技术、传感技术和人力资源等为一体，因此，制造业的发展水平直接反映了一个国家的生产力水平。随着我国社会的不断发展，人力成本已经逐渐不再是制造业的优势，这也要求工厂车间自动化程度更进一步，以实现工业物联网。
物联网即为物物相连的互联网，包括感知层、网络层和应用层三层架构。其中，感知层作为物联网的前端，主要通过各种信息传感设备进行信息感知；应用层作为物联网的后端，主要承担信息处理和人机交互的功能；而网络层位于感知层和应用层两者之间，起信息传递的作用。
现有技术的工业物联网，大多数都局限于某一种应用功能，而不能全面实现真正意义上的物联网。比如，仅通过烟雾浓度传感器、温度传感器和湿度传感器等前端设备采集环境数据，对厂房车间的环境数据进行处理和控制，而未能全面把车间内的其他方面纳入物联网内。因此，现有技术的工业物联网在数据采集和数据分析处理方面都存在过于片面的问题。
发明内容
为解决上述技术问题，本发明提供了一种智能车间管理方法和系统。
第一方面，本发明提供了一种智能车间管理方法，该方法具体包括：
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；
根据车间标准数据库对人员数据、产品数据、环境数据和设备数据进行分析，输出分析结果；
根据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。
本发明提供一种智能车间管理方法，目的在于对车间的人员、产品、环境和设备进行综合全面的管理。首先，预设车间标准数据库，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，车间 标准数据库为各种状态是否正常的判定提供了标准；其次，进行全方位的数据采集，采集的对象包括车间内的人员数据、产品数据、环境数据和设备数据等；再次，结合车间标准数据库对所采集的数据进行分析，并判断车间内的各种状态是否正常；最后，当出现异常时，输出调整指令，实现对车间的人员、产品、环境和设备进行综合全面的管理。
进一步的，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，当判断结果为异常时则出现异常事件，进一步执行反馈程序，所述反馈程序具体包括：
预设处理经验库，所述处理经验库包括经验事件，所述经验事件与所述异常事件对应；
获取判断结果；
对所述判断结果进行分类，确定所述异常事件；
根据所述异常事件输出对应的所述经验事件；
反馈所述异常事件和所述经验事件。
上述实施例中，公开了当出现异常事件后的优化处理程序。在本实施例中，当判断结果为异常时则表示车间内出现了异常事件，需要进一步通知管理人员，及时处理异常事件，把对车间的影响降到最小。预设处理经验库，处理经验库内的多个经验事件与各种异常事件对应，经验事件为处理异常事件的具体方法，不同的异常事件对应不同的经验事件；获取判断结果，为后续的分类和反馈做准备；对判断结果进行分类，判断结果的分类用于确定异常事件为人员、产品、环境和设备中的哪种类型的异常事件；根据异常事件得到经验事件后，再进一步把异常事件和经验事件反馈到管理人员处，此时，管理人员可明确知道异常事件的具体信息，同时也可参考经验事件对异常事件进行处理。
第二方面，本发明提供了一种智能车间管理系统，该系统包括：
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，用于根据车间标准数据库对人员数据、产品数据、环境数据和设备数据进行分析，输出分析结果；
判断模块，用于根据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。
本发明提供一种智能车间管理系统，具体包括预设模块、采集模块、分析模块、判断模块和管理模块。通过预设模块预设车间标准数据库，为各种 状态是否正常的判定提供标准，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；采集模块作为工业物联网的前端，通过各种信息传感设备进行信息感知采集，感知采集的对象包括车间内的人员数据、产品数据、环境数据和设备数据等；分析模块和判断模块的作用在于结合车间标准数据库对所采集的数据进行分析，并判断车间内的各种状态是否正常；而管理模块则用于输出调整指令对车间的各个方面进行调整控制，使得车间保持在正常状态。
进一步的，本系统还包括执行模块，所述执行模块接收所述管理模块输出的调整指令，对车间的人员、环境和设备进行管理；
所述执行模块包括：
人员执行单元，用于当车间人数大于或等于车间人数最大值时执行禁止进入动作、当进入者的身份特征与通行特征库匹配时执行允许进入动作、当进入者的身份特征与通行特征库不匹配时执行禁止进入动作；
环境执行单元，用于当车间温度值不符合车间温度标准的要求、或者车间湿度值不符合车间湿度标准的要求、或者车间粒子数值不符合车间粒子数标准的要求时执行调节指令，对车间温度值、车间湿度值和车间粒子数值进行调节；
设备执行单元，用于当闲置时间大于闲置告警阈值时和当校准时间大于校准告警阈值时执行强制停机动作。
上述实施例中，通过设置执行模块接收对应的调整指令，直接对车间的人员、环境和设备进行管理。当判断模块判断车间的人员状态、环境状态和设备状态中的某些状态出现异常时，可直接通过执行模块采集对应的措施，及时消除异常，有助于解放人力。简单的动作通过执行模块执行，而人力资源则用于对系统进行分析和优化，能够达到生产效率最大化。
附图说明
图1为本发明一种智能车间管理系统的架构图；
图2为本发明一种智能车间管理系统的交互示意图；
图3为本发明一种智能车间管理方法的流程示意图；
图4为本发明对车间的人员进行管理的交互示意图；
图5为本发明对车间的产品进行管理的交互示意图；
图6为本发明对车间的环境进行管理的交互示意图；
图7为本发明对车间的设备进行管理的交互示意图；
图8为本发明反馈程序的流程示意图。
具体实施方式
以下描述中，为了说明而不是为了限定，提出了诸如特定系统结构、接 口、技术之类的具体细节，以便透切理解本发明。然而，本领域的技术人员应当清楚，在没有这些具体细节的其它实施例中也可以实现本发明。在其它情况中，省略对众所周知的系统、电路以及方法的详细说明，以免不必要的细节妨碍本发明的描述。
如图1所示，图1为本发明一种智能车间管理系统的架构图。一种智能车间管理系统，包括预设模块1、采集模块2、分析模块3、判断模块4和管理模块5。分析模块3包括人员信息分析单元301、产品信息分析单元302、环境信息分析单元303、和设备信息分析单元304；判断模块4包括人员信息判断单元401、产品信息判断单元402、环境信息判断单元403和设备信息判断单元404；管理模块5包括人员信息管理单元501、产品信息管理单元502、环境信息管理单元503和设备信息管理单元504。其中，采集模块2作为工业物联网的前端，通过各种信息采集设备进行信息采集；分析模块3、判断模块4和管理模块5则作为工业物联网的后端，结合预设模块1对采集到的信息进行处理，并实现人机交互功能。
通过上述系统，改变了现有技术中通过手工记录车间数据的方式，全面采集车间内的各种数据，对车间内的人员、产品、环境和设备进行管理和控制，实现车间数据的自动化、电子化和实时化，有助于营造符合工业标准的车间，为产品的质量控制提供基础。
如图2所示，图2为本发明一种智能车间管理系统的交互示意图。依次通过预设模块1、采集模块2、分析模块3、判断模块4和管理模块5，实现车间数据的采集和处理。首先，通过预设模块1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；车间标准数据库是后续分析和判断的基准。其次，通过采集模块2采集人员数据、产品数据、环境数据和设备数据；采集模块2的实现方式有多种：采集人员数据时，通过门禁系统进行人员数据采集，进入者通过刷卡、输出密码和生物特征识别等多种方式通过门禁系统，进入者成功通过的同时进行车间人数统计；采集产品数据时，在对产品进行测试的过程中可通过测试平台自动抓取产品测试数据，并通过电子标签技术获取产品的实时位置；采集环境数据时，通过在车间的特定位置设置各种传感器，利用各种传感器采集环境数据；采集设备数据时，通过在设备上设置霍尔元件，利用霍尔元件实时监测设备的状态，包括上电和空转等状态。再次，分析模块3获取预设的车间标准数据库，基于预设的车间标准数据库对采集到的人员数据、产品数据、环境数据和设备数据进行分析，输出分析结果；分析模块3分析的过程主要是数据对比的过程，如对比通行特征库和进入者的身份特征等。再次，通过判断模块4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，判断的依据是分析结果；例如，采集到进入者的 身份特征后，与预设的通行特征库对比，当该身份特征与通行特征库不匹配时，则说明进入者没有进入权限，此时可输出进入者没有通行权限的判断结果。最后，通过管理模块5输出调整指令，对车间的人员、产品、环境和设备进行管理；例如，当进入者的身份特征与通行特征库不匹配时，门禁系统保持关闭，不允许进入者进入。
在实现智能车间管理的过程中，主要有标准预设、数据采集、分析、判断和管理等几个步骤。全方位设置采集设备，数据采集的对象囊括了车间的各方各面，再基于预设的标准对数据进行分析和判断，并对车间内的人员、产品、环境和设备等状态进行管理。多维度、多角度对车间的各种数据进行监控，实现综合全面的工业物联网。
如图3所示，图3为本发明一种智能车间管理方法的流程示意图。一种智能车间管理方法，具体包括：
S1.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；
S2.采集人员数据、产品数据、环境数据和设备数据；
S3.根据车间标准数据库对人员数据、产品数据、环境数据和设备数据进行分析，输出分析结果；
S4.根据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；
S5.根据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。
其中，在S3中，根据预设的车间标准数据库对人员数据、产品数据、环境数据和设备数据进行分析具体包括：基于人员管理子库对人员数据进行分析、基于产品管理子库对产品数据进行分析、基于环境数据子库对环境数据进行分析、基于设备数据子库对设备数据进行分析。
一种智能车间管理方法对应的一种智能车间管理系统，包括：
预设模块1，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2，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3，用于根据车间标准数据库对人员数据、产品数据、环境数据和设备数据进行分析，输出分析结果；
判断模块4，用于根据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5，用于根据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。
其中，分析模块3根据车间标准数据库对人员数据、产品数据、环境数 据和设备数据进行分析具体包括：基于人员管理子库对人员数据进行分析、基于产品管理子库对产品数据进行分析、基于环境数据子库对环境数据进行分析、基于设备数据子库对设备数据进行分析。
通过预设模块1预设车间标准数据库，为各种状态是否正常的判定提供了标准，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2作为工业物联网的前端，通过各种信息传感设备进行信息感知采集，感知采集的对象包括车间内的人员数据、产品数据、环境数据和设备数据等；分析模块3和判断模块4的作用在于结合车间标准数据库对所采集的数据进行分析，并判断车间内的各种状态是否正常；而管理模块5则用于输出调整指令对车间的各个方面进行调整控制，使得车间保持在正常状态。
本发明主要分为对车间的人员进行管理、对车间的产品进行管理、对车间的环境进行管理和对车间的设备进行管理四个方面，每个方面的详细技术方案分别见图4-图7。
如图4所示，图4为本发明对车间的人员进行管理的交互示意图。人员管理子库包括通行特征码集和车间人数最大值，人员数据包括身份特征和车间人数。对车间的人员进行管理的步骤包括：
预设通行特征码集和车间人数最大值；
对车间人数进行统计；
对比车间人数和车间人数最大值，判断车间人数是否超过车间人数最大值；
当车间人数大于或等于车间人数最大值时输出禁止进入指令，当车间人数小于车间人数最大值时进一步识别进入者身份；
采集进入者的身份特征；
对比通行特征库和进入者的身份特征，判断进入者的身份特征与通行特征库是否匹配；
当进入者的身份特征与通行特征库匹配时输出允许进入指令，当进入者的身份特征与通行特征库不匹配时输出禁止进入指令。
通过上述步骤，对车间内的人数进行严格的管控，当车间人数大于或等于车间人数最大值时输出禁止进入指令，任何人都不能进入车间内，只有车间内的其他人出来后车间人数小于车间人数最大值时，才能进入身份特征采集步骤，严格控制进入车间的人数。另外，当车间人数小于车间人数最大值时进一步识别进入者身份，预设通行特征库，通过采集进入者的身份特征并与通行特征库进行对比，判断进入者的身份特征与通行特征库是否匹配，只有身份特征与通行特征库匹配的人才允许进入车间，当进入者的身份特征与通行特征库不匹配时输出禁止进入指令。在实际生产的过程中，某些车间的 受控条件较苛刻，如在百级洁净室内，如果未经培训的人员进入了培训室，很可能会因为误操作而对百级洁净室内的原料、设备和产品造成破坏，此时，可设置允许进入名单，根据这一名单预设通行特征库，只允许这一名单内的人员进入车间。
对应地，对车间的人员进行管理的系统包括预设模块1、采集模块2、分析模块3、判断模块4和管理模块5。
预设模块1，用于预设通行特征码集和车间人数最大值；
采集模块2，用于对车间人数进行统计和用于采集进入者的身份特征；具体地，可通过门禁系统进行人员数据采集，进入者通过刷卡、输出密码和生物特征识别等多种方式通过门禁系统，进入者成功通过的同时进行车间人数统计。
所述分析模块3包括人员信息分析单元301，所述判断模块4包括人员信息判断单元401，所述管理模块5包括人员信息管理单元501；
所述人员信息分析单元301，用于对比车间人数和车间人数最大值、对比通行特征库和进入者的身份特征；
所述人员信息判断单元401，用于判断车间人数是否超过车间人数最大值和判断进入者的身份特征与通行特征库是否匹配；
所述人员信息管理单元501，用于当车间人数大于或等于车间人数最大值时输出禁止进入指令和当车间人数小于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身份特征与通行特征库匹配时输出允许进入指令和当进入者的身份特征与通行特征库不匹配时输出禁止进入指令。
在对车间的人员进行管理的系统中，人员信息分析单元301对比车间人数和车间人数最大值、对比通行特征库和进入者的身份特征，得到分析结果，并把分析结果发送到人员信息判断单元401；人员信息判断单元401接收人员信息分析单元301所发送的分析结果后，基于人员管理子库判断车间人数是否超过车间人数最大值和判断进入者的身份特征与通行特征库是否匹配，得到判断结果，并把判断结果发送到人员信息管理单元501；人员信息管理单元501接收到人员信息判断单元401所发送的判断结果后，对车间的人数和通行权限进行控制，实现对车间人员管理。
优选地，对车间的人员进行管理的过程中，还设置有临时控制方法，在某些特殊情况下，可通过临时控制方法允许特定的访客进入，具体包括：
判断进入者的身份特征与通行特征库是否匹配，当进入者的身份特征与通行特征库匹配时，获取进入者的临时申请指令；
根据临时申请指令，生成访客信息采集表；
接受信息采集数据，完善访客信息采集表；
输出临时通行指令，允许有通行权限的进入者携带一名访客进入车间；
获取此次进入车间的人数，当此次进入车间的人数为2时，输出允许进入指令。
对应地，本系统还包括临时控制模块，所述临时控制模块包括：
申请指令获取单元，用于判断进入者的身份特征与通行特征库是否匹配，当进入者的身份特征与通行特征库匹配时，获取进入者的临时申请指令；
信息采集表生成单元，用于根据临时申请指令，生成访客信息采集表；
信息采集表完善单元，用于接受信息采集数据，完善访客信息采集表；
临时通行指令单元，用于输出临时通行指令，允许有通行权限的进入者携带一名访客进入车间；
临时通行人数控制单元，用于获取此次进入车间的人数，当此次进入车间的人数为2时，输出允许进入指令。
在车间运行的过程中，可能会有各种情况导致需要一些没有通行权限的人进入车间，这些没有通行权限的人即为访客。访客可能是客户、设备维修人员、审核人员和供应商等，访客的身份特征并不在通行特征码集内，因此，正常情况下，访客不能进入车间。通过临时控制方法和临时控制模块，可以更合理地控制访客的权限，只有在具备权限的进入者申请并完成访客信息采集后，才允许一位访客在进入者的陪同下进入车间，方便外来人员进入车间的管理。
如图5所示，图5为本发明对车间的产品进行管理的交互示意图。产品管理子库包括测试参数标准和入库位置信息，入库位置信息包括合格品库位和不良品库位，产品数据包括产品测试数据和产品实时位置。对车间的产品进行管理的步骤包括：
预设测试参数标准和入库位置信息；
获取产品测试数据；
对比产品测试数据和测试参数标准，判断产品为合格品或不良品；
获取产品的实时位置；
根据入库位置信息和产品实时位置判断合格品是否入库到合格品库位和判断不良品是否入库到不良品库位；
当合格品未入库到合格品库位和/或不良品未入库到不良品库位时，发出库位调整提醒信息，直到合格品入库到合格品库位且不良品入库到不良品库位。
通过上述步骤，对车间的产品进行管理，先预设测试参数标准和入库位置信息，根据测试参数标准对产品进行测试，产品测试数据符合测试参数标准的为合格品，产品测试数据不符合测试参数标准的为不良品。入库位置信息定义了合格品和不良品的标准位置，即合格品库位和不良品库位，通过获 取产品的实时位置，判断合格品是否入库到合格品库位、判断不良品是否入库到不良品库位，当合格品未入库到合格品库位和/或不良品未入库到不良品库位时，视为产品位置未符合要求，此时发出库位调整提醒信息，直到管理人员把产品转移到相应位置后，合格品入库到合格品库位且不良品入库到不良品库位为止，促使合格品和不良品都被存放到正确的位置，防止混淆，造成出货错误和客户抱怨等问题。
对应地，对车间的产品进行管理的系统包括预设模块1、采集模块2、分析模块3、判断模块4和管理模块5。
预设模块1，用于预设测试参数标准和入库位置信息；
采集模块2，用于获取产品测试数据和产品实时位置；具体地，采集产品数据时，在对产品进行测试的过程中可通过测试平台自动抓取产品测试数据，并通过电子标签技术获取产品的实时位置；
所述分析模块3包括产品信息分析单元302，所述判断模块4包括产品信息判断单元402，所述管理模块5包括产品信息管理单元502；
所述产品信息分析单元302，用于对比产品测试数据和测试参数标准；
所述产品信息判断单元402，用于判断产品为合格品或不良品、判断合格品是否入库到合格品库位和判断不良品是否入库到不良品库位；
所述产品信息管理单元502，用于当合格品未入库到合格品库位和/或不良品未入库到不良品库位时，发出库位调整提醒信息，直到合格品入库到合格品库位且不良品入库到不良品库位。
通过测试平台测试产品后，即可归类出合格品和不良品，管理人员可对应地做出标识对合格品和不良品进行分类，然后包装、入库、出货。包装完成后，在产品的外箱上贴上二维码，二维码包含了产品的型号、序列号、数量、合格品或不良品和入库位置信息等，在后续的入库和出货环节、只需要扫描二维码便可知道产品的具体信息。在仓库设置有扫描枪，把产品入库到仓库后，再用扫描枪读取二维码，才完成产品的入库操作。当产品测试完成后，系统会自动分配入库位置信息，当产品未到达对应的合格品库位或不良品库位，则发出库位调整提醒信息，管理人员把产品入库到对应的位置后，再用扫描枪读取二维码确认产品的位置，才会停止发出库位调整提醒信息。通过系统控制产品的库位，实现产品管理自动化。
如图6所示，图6为本发明对车间的环境进行管理的交互示意图。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，环境数据包括车间温度值、车间湿度值和车间粒子数值。
对车间的环境进行管理的步骤包括：
预设车间温度标准、车间湿度标准和车间粒子数标准；
实时采集车间温度值、车间湿度值和车间粒子数值；
对比车间温度值与车间温度标准、对比车间湿度值与车间湿度标准、对比车间粒子数值与车间粒子数标准；
根据环境管理子库和环境数据判断车间温度值是否符合车间温度标准的要求、判断车间湿度值是否符合车间湿度标准的要求、判断车间粒子数值是否符合车间粒子数标准的要求；
当车间温度值不符合车间温度标准的要求、或者车间湿度值不符合车间湿度标准的要求、或者车间粒子数值不符合车间粒子数标准的要求时，对应输出调节指令对车间温度值、车间湿度值和车间粒子数值进行调节，直到车间温度值符合车间温度标准的要求、车间湿度值符合车间湿度标准的要求和车间粒子数值符合车间粒子数标准的要求。
通过上述步骤，对车间环境的各种参数进行控制。对于受控条件较苛刻的车间来讲，车间温度值、车间湿度值和车间粒子数值都是非常重要的参数，如百级洁净室，要求把车间内的温度、湿度和粒子数都控制在一个理想的范围内，为产品营造一个无尘环境。实时采集车间温度值、车间湿度值和车间粒子数值，再分别与车间温度标准、车间湿度标准和车间粒子数标准进行对比，判断车间内的温度、湿度和粒子数是否符合标准，当不符合标准时则输出调节指令，对车间温度值、车间湿度值和车间粒子数值进行调节，直到车间内的温度、湿度和粒子数符合标准。根据采集到的数据及时对车间环境进行调节，使得车间内的环境数据时刻符合车间温度标准、车间湿度标准和车间粒子数标准，为生产过程中的质量控制提供一个良好的车间环境。
对应地，对车间的环境进行管理的系统包括预设模块1、采集模块2、分析模块3、判断模块4和管理模块5。
预设模块1，用于预设车间温度标准、车间湿度标准和车间粒子数标准；
采集模块2，用于实时采集车间温度值、车间湿度值和车间粒子数值；具体地，通过在车间的特定位置设置各种传感器，如温度传感器、湿度传感器和粒子数传感器，利用各种传感器采集各种环境数据；
所述分析模块3包括环境信息分析单元303，所述判断模块4包括环境信息判断单元403，所述管理模块5包括环境信息管理单元503；
所述环境信息分析单元303，用于对比车间温度值与车间温度标准、对比车间湿度值与车间湿度标准、对比车间粒子数值与车间粒子数标准；
所述环境信息判断单元403，用于根据环境管理子库和环境数据判断车间温度值是否符合车间温度标准的要求、判断车间湿度值是否符合车间湿度标准的要求、判断车间粒子数值是否符合车间粒子数标准的要求；
所述环境信息管理单元503，用于当车间温度值不符合车间温度标准的要求、或者车间湿度值不符合车间湿度标准的要求、或者车间粒子数值不符合车间粒子数标准的要求时，对应输出调节指令对车间温度值、车间湿度值 和车间粒子数值进行调节，直到车间温度值符合车间温度标准的要求、车间湿度值符合车间湿度标准的要求和车间粒子数值符合车间粒子数标准的要求。
先进行标准预设和数据采集，再由环境信息分析单元303对比预设的标准和所采集的数据，得到分析结果，并把分析结果发送到环境信息判断单元403，环境信息判断单元403接收到环境信息分析单元303所发送的分析结果后，根据环境管理子库和环境数据对车间的环境是否符合要求进行判断，输出判断结果，并把判断结果发送给环境信息管理单元503，环境信息管理单元503接收到环境信息判断单元403所发送的判断结果后，对应输出调节指令对车间温度值、车间湿度值和车间粒子数值进行调节，实现车间环境的实时监测和控制。
如图7所示，图7为本发明对车间的设备进行管理的交互示意图。设备管理子库包括闲置告警阈值和校准告警阈值，设备数据包括闲置时间和校准时间，其中，闲置时间为设备上电后的空转时间，校准时间为设备距上次校准后的时间。对车间的设备进行管理的步骤包括：
预设闲置告警阈值和校准告警阈值；
采集设备的闲置时间和校准时间；
对比闲置时间与闲置告警阈值、对比校准时间与校准告警阈值；
根据设备管理子库和设备数据判断闲置时间是否大于闲置告警阈值、判断校准时间是否大于校准告警阈值；
当闲置时间大于闲置告警阈值时输出警告，提示设备处于长期空转状态，直到闲置时间小于或等于闲置告警阈值；
当校准时间大于校准告警阈值时输出警告，提示设备处于待校准状态，直到校准时间小于或等于校准告警阈值。
通过上述步骤，监控车间内设备的状态。设备对于生产至关重要，在实际的应用中，设备的管控主要存在两个问题，一是由于操作员忽略而造成设备的长时间空转，二是设备长期未校准，这两个问题在大型车间的设备管控中尤为突出。通过对比预设的闲置告警阈值、校准告警阈值和采集到的闲置时间、校准时间，当闲置时间大于闲置告警阈值时输出警告表示设备处于长期空转状态，当校准时间大于校准告警阈值时输出警告表示设备处于待校准状态，输出警告，提示设备状态异常，便可实现自动监控，而不必像传统的车间那样，通过校准标识来控制设备的标准时间，通过操作手册来避免设备长时间空转。
对应地，对车间的设备进行管理的系统包括预设模块1、采集模块2、分析模块3、判断模块4和管理模块5。
预设模块1，用于预设闲置告警阈值和校准告警阈值；
采集模块2，用于采集设备的闲置时间和校准时间；具体地，通过在设备上设置霍尔元件，利用霍尔元件实时监测设备的状态，包括上电和空转等状态；
所述分析模块3包括设备信息分析单元304，所述判断模块4包括设备信息判断单元404，所述管理模块5包括设备信息管理单元504；
所述设备信息分析单元304，用于对比闲置时间与闲置告警阈值、对比校准时间与校准告警阈值；
所述设备信息判断单元404，用于根据设备管理子库和设备数据判断闲置时间是否大于闲置告警阈值、判断校准时间是否大于校准告警阈值；
所述设备信息管理单元504，用于当闲置时间大于闲置告警阈值时输出警告，提示设备处于长期空转状态，直到闲置时间小于或等于闲置告警阈值，当校准时间大于校准告警阈值时输出警告，提示设备处于待校准状态，直到校准时间小于或等于校准告警阈值。具体地，当管理人员对设备断电时，霍尔元件监测到断电状态，闲置时间清零，此时闲置时间重新小于闲置告警阈值；当管理人员对设备校准时，霍尔元件监测到校准状态，校准时间清零，此时校准时间重新小于校准告警阈值。
在对车间的设备进行管理的系统中，设备信息分析单元304对比闲置时间与闲置告警阈值、对比校准时间与校准告警阈值，得到分析结果，并把分析结果发送到设备信息判断单元404；设备信息判断单元404接收设备信息分析单元304所发送的分析结果后，根据设备管理子库和设备数据判断闲置时间是否大于闲置告警阈值、判断校准时间是否大于校准告警阈值，得到判断结果，并把判断结果发送到设备信息管理单元504；设备信息管理单元504接收到设备信息判断单元404所发送的判断结果后，当车间内的设备异常时，输出警告，实现设备的自动控制。
如图8所示，图8为本发明反馈程序的流程示意图。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，当判断结果为异常时则出现异常事件，进一步执行反馈程序，所述反馈程序具体包括：
P1：预设处理经验库，所述处理经验库包括经验事件，所述经验事件与异常事件对应；
P2：获取判断结果；
P3：对所述判断结果进行分类，确定异常事件；
P4：根据所述异常事件输出对应的所述经验事件；
P5：反馈所述异常事件和所述经验事件。
优选地，本发明还对车间的污水处理、废气处理进行统一管理。具体地，所述车间标准数据库还包括污水管理子库和废气管理子库，智能车间管理方法包括：
预设车间标准数据库，车间标准数据还包括污水管理子库和废气管理子库，所述污水管理子库包括污水排放标准，所述废气管理子库包括废气排放标准；
采集污水数据和废气数据；
根据污水排放标准对污水数据进行分析，根据废气排放标准对废气数据进行分析，输出分析结果；
根据分析结果判断车间的污水状态和废气状态是否正常，输出判断结果；
根据判断结果输出调整指令，对车间的污水排放和废气排放进行管理。
对应地，一种智能车间管理系统，包括：
预设模块1，用于预设车间标准数据库，车间标准数据还包括污水管理子库和废气管理子库，所述污水管理子库包括污水排放标准，所述废气管理子库包括废气排放标准；
采集模块2，用于采集污水数据和废气数据；
分析模块3，用于根据污水排放标准对污水数据进行分析，根据废气排放标准对废气数据进行分析，输出分析结果；
判断模块4，用于根据分析结果判断车间的污水状态和废气状态是否正常，输出判断结果；
管理模块5，用于根据判断结果输出调整指令，对车间的污水排放和废气排放进行管理。
在生产的过程中会产生污水和废气，如果污水和废气内的有害物质超标，排放出去后会对环境造成破坏。先预设污水管理子库和废气管理子库，再采集污水数据和废气数据，根据污水排放标准对污水数据进行分析，根据废气排放标准对废气数据进行分析，判断车间的污水状态和废气状态是否正常，只有正常时管理模块5才会输出调整指令允许排放，当污水状态和废气状态不正常时封锁排放口，禁止排放，有助于保护环境，实现经济的可持续发展。
读者应理解，在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，上述描述的装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本发明实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以是两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分，或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到各种等效的修改或替换，这些修改或替换都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以权利要求的保护范围为准。

Claims (10)

  1. 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。
  2. 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。
  3. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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。
  8. 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。
  9. 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。
  10. 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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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110516911A (zh) * 2019-07-23 2019-11-29 上海烟草集团有限责任公司 一种烟丝装箱区空箱回库方法及系统

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108171416A (zh) * 2017-12-26 2018-06-15 佛山市道静科技有限公司 一种智能生产车间管理系统
CN108445854B (zh) * 2018-04-25 2019-09-20 苏州华亚智能科技股份有限公司 一种基于大数据的智能车间的车间自主学习方法
CN109507960A (zh) * 2018-11-01 2019-03-22 广西华磊新材料有限公司 一种基于云平台的一体化智能制造系统
CN111435236A (zh) * 2019-01-14 2020-07-21 江苏你好鸭食品有限公司 酱卤肉安全加工控制系统
CN110136021A (zh) * 2019-06-06 2019-08-16 天津智橙物联科技有限公司 一种车间管理的系统
CN113473092A (zh) * 2021-09-02 2021-10-01 深圳市信润富联数字科技有限公司 生产车间管理系统、方法、设备及计算机程序产品
CN114200984B (zh) * 2021-12-10 2022-09-27 黄山奥仪电器有限公司 一种15路组合一体化电流型温度控制器

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008087910A1 (ja) * 2007-01-16 2008-07-24 Kabushiki Kaisha Toshiba 遠隔監視・診断システム
CN102419830A (zh) * 2010-09-27 2012-04-18 周小丹 车间资源策划系统
CN104281104A (zh) * 2013-07-04 2015-01-14 徐绪计 一种异常工况信息处理系统及方法
CN104375491A (zh) * 2014-11-27 2015-02-25 无锡北斗星通信息科技有限公司 纺织车间环境监控报警系统
CN205158426U (zh) * 2015-11-20 2016-04-13 中华人民共和国上海出入境检验检疫局 实验室综合信息管理系统

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101334905A (zh) * 2007-06-27 2008-12-31 保华电子科技有限公司 制衣车间生产线管理系统
CN101145228A (zh) * 2007-10-12 2008-03-19 成都方程式电子有限公司 一种生产管理系统及其安全实现方法
CN103021142A (zh) * 2012-12-28 2013-04-03 上海华兴数字科技有限公司 一种工程机械装置远程预警系统及控制方法
US9786197B2 (en) * 2013-05-09 2017-10-10 Rockwell Automation Technologies, Inc. Using cloud-based data to facilitate enhancing performance in connection with an industrial automation system
CN104574578A (zh) * 2013-10-25 2015-04-29 济南克立司帝控制系统有限公司 民爆企业专用门禁式定员监控系统
CN104794555B (zh) * 2014-12-20 2019-11-29 佛山市多谱光电科技有限公司 一种基于物联网的led生产及测试数据管理系统
CN106612415A (zh) * 2015-10-27 2017-05-03 北京航天长峰科技工业集团有限公司 一种生产车间人员出入监管方法
CN205218524U (zh) * 2015-10-28 2016-05-11 天津友发钢管集团股份有限公司 一种带有钢管拣选装置的钢管生产系统
CN105334827B (zh) * 2015-11-18 2018-07-06 张发平 设备监造和质量实时控制系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008087910A1 (ja) * 2007-01-16 2008-07-24 Kabushiki Kaisha Toshiba 遠隔監視・診断システム
CN102419830A (zh) * 2010-09-27 2012-04-18 周小丹 车间资源策划系统
CN104281104A (zh) * 2013-07-04 2015-01-14 徐绪计 一种异常工况信息处理系统及方法
CN104375491A (zh) * 2014-11-27 2015-02-25 无锡北斗星通信息科技有限公司 纺织车间环境监控报警系统
CN205158426U (zh) * 2015-11-20 2016-04-13 中华人民共和国上海出入境检验检疫局 实验室综合信息管理系统

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110516911A (zh) * 2019-07-23 2019-11-29 上海烟草集团有限责任公司 一种烟丝装箱区空箱回库方法及系统

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