Wireless data acquisition system for MES (Manufacturing Execution System)

Abstract

The invention relates to the technical field of wireless data acquisition systems, and discloses a wireless data acquisition system for an MES (Manufacturing Execution System), which comprises a host, a cloud server, a cloud database and a plurality of data acquisition units, the host comprises a wireless connection coordinator, a communication module, an acquisition task execution unit, a feedback unit, a data integration module, a strategy updating and early warning module, a strategy evaluation unit and an acquisition weight sorting unit, and performs bidirectional data cloud exchange with the cloud server and the cloud database through the communication module; each data acquisition unit comprises an acquisition terminal, a power supply module, a wireless communication chip, an SD card, a data transceiver module, a control module and a data screening module. When the data acquisition system works, the data transmission and uploading load of the plurality of data acquisition sensors can be optimized by setting an acquisition algorithm and an acquisition strategy, and the data communication bandwidth of the data acquisition sensors during data acquisition communication is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless data acquisition systems, and more specifically, to a wireless data acquisition system for a MES manufacturing execution system. Background Art

[0002] The data acquisition system is a data acquisition method that integrates data acquisition, analysis, and transmission. It is widely used in the MES manufacturing execution system. The data acquisition system provides convenient and fast data analysis and progress monitoring for production. As a management information system for workshop production, the manufacturing execution system is a bridge between the enterprise planning management level and the workshop control bottom level. The workshop production scheduling is the core module of the MES system, which is directly related to the production, operation and management efficiency of the enterprise. MES provides the execution of the production plan to ensure that the production plan is completed on schedule.

[0003] The patent document with publication number CN103699063B in the prior art discloses a device and method for collecting offline data in a manufacturing execution system MES. This device and method for collecting offline data in an MES system can realize that when an MES system fails, the production workshop produces in an offline mode to ensure the normal operation of the equipment. When the MES system is repaired, the offline data is uploaded to the MES system. This technical solution provides an offline data collection solution for enterprises using the MES system when an MES server fails, which ensures the normal production and reduces the losses of the enterprise. However, the above data collection system has the following technical problems when working:

[0004] 1. It is not convenient to optimize the data transmission and upload load of multiple data acquisition sensors and reduce the data communication bandwidth of the data acquisition sensors when the data acquisition system is working;

[0005] 2. It is not convenient to reduce the working time of equipment and the power loss of the factory when working at the acquisition terminal;

[0006] 3. It is not convenient to evaluate the acquisition algorithm and acquisition strategy of the acquisition sensor, arrange the acquisition sequence under limited bandwidth, and provide early warning reminders for the acquisition algorithm;

[0007] Based on this, the present invention provides a wireless data acquisition system for an MES manufacturing execution system to solve the technical problems raised in the above background technology. Summary of the invention

[0008] In order to overcome the shortcomings of the prior art, the present invention provides a wireless data acquisition system for an MES manufacturing execution system. When the data acquisition system is working, it can optimize the data transmission and upload load of multiple data acquisition sensors and reduce the data communication bandwidth of the data acquisition sensors when communicating for data acquisition through acquisition algorithms and acquisition strategy settings.

[0009] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a wireless data acquisition system for an MES manufacturing execution system, comprising a host, a cloud server, a cloud database and a plurality of data acquisition units, wherein the host comprises a wireless connection coordinator, a communication module, a collection task execution unit, a feedback unit, a data integration module, a strategy update and early warning module, a strategy evaluation unit and a collection weight sorting unit, wherein the host performs two-way cloud data exchange with the cloud server and the cloud database through the communication module, wherein each of the data acquisition units comprises an acquisition terminal, a power supply module, a wireless communication chip, an SD card, a data transceiver module, a control module and a data screening module, wherein the wireless communication chip communicates wirelessly with the wireless connection coordinator, and the strategy evaluation unit evaluates the acquisition algorithm and acquisition strategy in the acquisition task execution unit based on the collection data feedback of the feedback unit.

[0010] As a preferred technical solution of the present invention, the acquisition task execution unit is used to input the acquisition task, target data set and abnormal data screening algorithm to each data acquisition unit, the strategy update and early warning module is used to edit the data acquisition strategy of the acquisition task execution unit, the acquisition strategy includes data acquisition time and data acquisition frequency, the strategy update and early warning module is used to warn of abnormal task execution strategies of the acquisition task execution unit, and multiple data acquisition units are regularly arranged in each workshop of the manufacturing execution system.

[0011] As a preferred technical solution of the present invention, the wireless connection coordinator is a Zigbee coordinator, the wireless communication chip supports WI FI, Bluetooth, narrowband physical network, cellular communication and Zigbee wireless communication modes, the wireless connection coordinator is used to establish a wireless communication network, and the wireless connection coordinator is wirelessly connected to multiple wireless communication chips through the wireless communication network.

[0012] As a preferred technical solution of the present invention, the SD card is used to store the collected data of the data terminal. When the collection terminal is powered on, the collected data is stored in the SD card in real time for storage. The collection terminal is used to collect the workshop work data of the manufacturing workshop in real time. The power supply module is used to control the power on and off of the collection terminal. The data transceiver module is used to read or transmit the collected data in the SD card. The data transceiver module is used to control the data exchange status between the SD card and the host.

[0013] As a preferred technical solution of the present invention, the control module controls the working parameters of the acquisition terminal and the working parameters of the power supply module according to the tasks issued by the acquisition task execution unit. After receiving the tasks issued by the acquisition task execution unit, the control module outputs the target data set parameters and the abnormal data screening algorithm to the data screening module. The data screening module establishes an abnormal data screening strategy and a target data set matching strategy according to the received data. The data screening module screens out abnormal data or matched target data from the SD card in each data acquisition unit according to the abnormal data screening algorithm and the target data set parameters. After the data screening module screens out the abnormal data or the matched target data, they are counted as an actual data set. The data screening module feeds back the actual data set to the data transceiver module, and the data transceiver module feeds back the screened data to the host. The host backs up the received data to the cloud database in real time through the cloud server.

[0014] As a preferred technical solution of the present invention, the data integration module is used to back up in real time the abnormal data or the matched target data screened out by the data screening modules in multiple data acquisition units. After the data integration module performs statistics on the time range value of the time when the screened data is generated, the location statistics of the manufacturing workshop where the abnormal data is generated, the time range value and the location statistics of the manufacturing workshop where the abnormal data is generated based on the screened data of the screening module, the strategy update and early warning module updates or optimizes the task establishment algorithm of the acquisition task execution unit based on the statistical time range value, location data of the manufacturing workshop, and data type.

[0015] As a preferred technical solution of the present invention, the feedback unit is used to collect abnormal collection data and target collection data that each data collection unit fails to feedback, and the total number of abnormal collection data and target collection data that each data collection unit fails to feedback is counted as N. The feedback unit is performed by workshop manufacturing personnel or management units for manual data feedback, manual data marking and manual data screening. After collecting the abnormal collection data and target collection data that multiple data collection units fail to feedback, the feedback unit performs workshop statistics, generation time range value statistics and data type statistics on the non-received abnormal collection data and target collection data. The strategy update and early warning module updates or optimizes the task establishment algorithm of the collection task execution unit based on the counted time range value, location data of the manufacturing workshop, and data type. After the feedback unit collects data feedback from multiple data collection units, the workshop manufacturing personnel or management personnel evaluate the collection strategy weight value of the data collection unit to which they belong, and the obtained collection evaluation weight value is ∑Q.

[0016] As a preferred technical solution of the present invention, the acquisition weight ranking unit collects the target data set and the actual data set of each data acquisition unit in real time. After the target data set and the actual data set of each data acquisition unit are collected, the strategy evaluation unit automatically calculates the matching degree ∑P of the actual data set and the target data set. After the strategy evaluation unit evaluates the data acquisition strategy of each data acquisition unit, an acquisition weight ranking value KP is generated. The following algorithm is used when calculating KP:

[0017]

[0018] After the collection weight sorting unit calculates the collection weight sorting value KP of each data collection unit, it sorts the data of each data collection unit according to the size sorting algorithm. When the host performs data collection, it collects data from multiple data collection units in sequence according to the sorting strategy under limited bandwidth conditions;

[0019] When the collection weight ranking value KP of a data collection unit is ≧ Z, the host will issue a data alarm and remind the management personnel to reset and edit the collection strategy.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] When the data acquisition system is working, it can optimize the data transmission and upload load of multiple data acquisition sensors and reduce the data communication bandwidth of the data acquisition sensors when communicating for data acquisition through acquisition algorithms and acquisition strategy settings. When the data acquisition system is working, it can reduce the working time of the equipment and the power loss of the factory through the algorithm setting of the acquisition terminal. At the same time, the system can also evaluate the acquisition algorithm and acquisition strategy of the acquisition sensor and arrange the acquisition sequence under limited bandwidth and provide early warning and update reminders for the acquisition algorithm. When the system is working, the acquisition sequence arrangement can realize the staggered transmission of the collected data in unit time, thereby reducing the resource crowding of the collected data in unit time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of the flow structure of the wireless data acquisition system used in the MES manufacturing execution system of the present invention;

[0023] Figure 2 It is a structural block diagram of the host of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] like Figure 1 to Figure 2 As shown, the present invention provides a wireless data acquisition system for an MES manufacturing execution system, including a host, a cloud server, a cloud database, and multiple data acquisition units;

[0026] Multiple data collection units are regularly deployed in each workshop of the manufacturing execution system;

[0027] The host includes a wireless connection coordinator, a communication module, a collection task execution unit, a feedback unit, a data integration module, a strategy update and early warning module, a strategy evaluation unit and a collection weight sorting unit;

[0028] The wireless connection coordinator is a Zigbee coordinator;

[0029] The host performs two-way data cloud exchange with the cloud server and cloud database through the communication module;

[0030] The communication module is an existing technology, and the communication module includes narrowband physical network, cellular communication and Zigbee data communication mode;

[0031] Each data acquisition unit includes an acquisition terminal, a power supply module, a wireless communication chip, an SD card, a data transceiver module, a control module and a data screening module, and the wireless communication chip communicates wirelessly with the wireless connection coordinator;

[0032] The wireless communication chip supports WI FI, Bluetooth, narrowband physical network, cellular communication and Zigbee wireless communication;

[0033] The wireless connection coordinator is used to establish a wireless communication network, and the wireless connection coordinator is wirelessly connected with multiple wireless communication chips through the wireless communication network;

[0034] The collection task execution unit is used to input the collection task, target data set and abnormal data screening algorithm to each data collection unit;

[0035] The SD card is used to store the collected data of the data terminal;

[0036] When the acquisition terminal is powered on, the collected data is stored in the SD card in real time for storage;

[0037] The collection terminal is used to collect the workshop work data of the manufacturing workshop in real time;

[0038] The power supply module is used to control whether the acquisition terminal is powered on or off;

[0039] The data transceiver module is used to read or transmit the collected data in the SD card, and the data transceiver module is used to control the data exchange status between the SD card and the host;

[0040] The control module controls the working parameters of the acquisition terminal and the working parameters of the power supply module according to the tasks issued by the acquisition task execution unit;

[0041] After receiving the task issued by the acquisition task execution unit, the control module outputs the target data set parameters and abnormal data screening algorithm to the data screening module;

[0042] The data screening module establishes an abnormal data screening strategy and a target data set matching strategy based on the received data;

[0043] The data screening module screens out abnormal data or matched target data from the SD card in each data acquisition unit according to the abnormal data screening algorithm and the target data set parameters;

[0044] The data screening module filters out abnormal data or matched target data, which are counted as actual data sets;

[0045] The data screening module feeds back the actual data set to the data transceiver module;

[0046] The data transceiver module feeds back the filtered data to the host;

[0047] The host backs up the received data to the cloud database in real time through the cloud server;

[0048] The strategy update and warning module is used to edit the data collection strategy of the collection task execution unit. The collection strategy includes data collection time and data collection frequency;

[0049] The strategy update and warning module is used to warn of abnormal task execution strategies of the acquisition task execution unit;

[0050] The feedback unit is used to collect abnormal collection data and target collection data that each data collection unit fails to feedback, and the total number of abnormal collection data and target collection data that each data collection unit fails to feedback is counted as N;

[0051] The feedback unit is composed of workshop manufacturing personnel or management units to perform manual data feedback, manual data marking and manual data screening;

[0052] After collecting the abnormal collection data and target collection data that cannot be fed back by multiple data collection units, the feedback unit performs workshop statistics, generation time range value statistics and data type statistics of the abnormal collection data and target collection data that are not received;

[0053] The strategy update and early warning module updates or optimizes the task establishment algorithm of the collection task execution unit based on the statistical time range value, location data of the manufacturing workshop, and data type;

[0054] After the feedback unit collects data feedback from multiple data acquisition units, the workshop manufacturing personnel or management personnel evaluate the acquisition strategy weight value of the data acquisition unit to which they belong, and the acquired acquisition evaluation weight value is ∑Q.

[0055] The strategy evaluation unit evaluates the acquisition algorithm and acquisition strategy in the acquisition task execution unit according to the acquisition data feedback from the feedback unit.

[0056] The data integration module is used to back up in real time the abnormal data or the matched target data screened out by the data screening modules in the multiple data acquisition units;

[0057] The data integration module performs statistics on the time range value of the time when the filtered data is generated, the location statistics of the manufacturing workshop where the abnormal data is generated, and the time range value and the location statistics of the manufacturing workshop where the abnormal data is generated according to the filtered data of the filtering module;

[0058] The strategy update and early warning module updates or optimizes the task establishment algorithm of the collection task execution unit based on the statistical time range value, location data of the manufacturing workshop, and data type.

[0059] The acquisition weight sorting unit collects the target data set and the actual data set of each data acquisition unit in real time. After the target data set and the actual data set of each data acquisition unit are collected, the strategy evaluation unit automatically calculates the matching degree ∑P between the actual data set and the target data set;

[0060] After the strategy evaluation unit evaluates the data collection strategy of each data collection unit, a collection weight ranking value KP is generated. The following algorithm is used for KP calculation:

[0061]

[0062] When ∑Q is 90, ∑P is 40%, and N is 20:

[0063]

[0064] When ∑Q is 60, ∑P is 80%, and N is 7:

[0065]

[0066] After the collection weight sorting unit calculates the collection weight sorting value KP of each data collection unit, it sorts the data of each data collection unit according to the size sorting algorithm. When the host performs data collection, it collects data from multiple data collection units in sequence according to the sorting strategy under limited bandwidth conditions;

[0067] When the collection weight ranking value KP of a data collection unit is ≧ Z, the host will issue a data alarm and remind the management personnel to reset and edit the collection strategy.

[0068] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0069] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A wireless data acquisition system for a MES manufacturing execution system, including a host, characterized in that: It also includes a cloud server, a cloud database and multiple data acquisition units. The host includes a wireless connection coordinator, a communication module, a collection task execution unit, a feedback unit, a data integration module, a strategy update and warning module, a strategy evaluation unit and a collection weight sorting unit. The host performs two-way cloud data exchange with the cloud server and the cloud database through the communication module. Each of the data acquisition units includes a collection terminal, a power supply module, a wireless communication chip, an SD card, a data transceiver module, a control module and a data screening module. The wireless communication chip communicates wirelessly with the wireless connection coordinator. The strategy evaluation unit evaluates the collection algorithm and collection strategy in the collection task execution unit based on the collection data feedback of the feedback unit.

2. The wireless data acquisition system for MES manufacturing execution system according to claim 1 is characterized in that: The acquisition task execution unit is used to input the acquisition task, target data set and abnormal data screening algorithm to each data acquisition unit. The strategy update and early warning module is used to edit the data acquisition strategy of the acquisition task execution unit. The acquisition strategy includes data acquisition time and data acquisition frequency. The strategy update and early warning module is used to warn of abnormal task execution strategies of the acquisition task execution unit. Multiple data acquisition units are regularly arranged in various workshops of the manufacturing execution system.

3. The wireless data acquisition system for MES manufacturing execution system according to claim 1, characterized in that: The wireless connection coordinator is a Zigbee coordinator, the wireless communication chip supports WIFI, Bluetooth, narrowband physical network, cellular communication and Zigbee wireless communication modes, the wireless connection coordinator is used to establish a wireless communication network, and the wireless connection coordinator is wirelessly connected to multiple wireless communication chips through the wireless communication network.

4. The wireless data acquisition system for MES manufacturing execution system according to claim 1, characterized in that: The SD card is used to store the collected data of the data terminal. When the collection terminal is powered on, the collected data is stored in the SD card in real time. The collection terminal is used to collect the workshop work data of the manufacturing workshop in real time. The power supply module is used to control the power on and off of the collection terminal. The data transceiver module is used to read or transmit the collected data in the SD card. The data transceiver module is used to control the data exchange status between the SD card and the host.

5. The wireless data acquisition system for MES manufacturing execution system according to claim 1, characterized in that: The control module controls the working parameters of the acquisition terminal and the working parameters of the power supply module according to the tasks issued by the acquisition task execution unit. After receiving the tasks issued by the acquisition task execution unit, the control module outputs the target data set parameters and the abnormal data screening algorithm to the data screening module. The data screening module establishes an abnormal data screening strategy and a target data set matching strategy according to the received data. The data screening module screens out abnormal data or matched target data from the SD card in each data acquisition unit according to the abnormal data screening algorithm and the target data set parameters. After the data screening module screens out the abnormal data or the matched target data, they are counted as an actual data set. The data screening module feeds back the actual data set to the data transceiver module, and the data transceiver module feeds back the screened data to the host. The host backs up the received data to the cloud database in real time through the cloud server.

6. The wireless data acquisition system for MES manufacturing execution system according to claim 5 is characterized in that: The data integration module is used for real-time backing up abnormal data or matched target data filtered out by the data screening modules in multiple data acquisition units. After the data integration module performs statistics on the time range value of the time when the filtered data is generated, the location statistics of the manufacturing workshop where the abnormal data is generated, and the time range value and the location statistics of the manufacturing workshop where the abnormal data is generated based on the filtered data of the screening module, the strategy update and early warning module updates or optimizes the task establishment algorithm of the acquisition task execution unit based on the statistical time range value, location data of the manufacturing workshop, and data type.

7. The wireless data acquisition system for MES manufacturing execution system according to claim 6 is characterized in that: The feedback unit is used to collect abnormal collection data and target collection data that each data collection unit fails to feedback, and the total number of abnormal collection data and target collection data that each data collection unit fails to feedback is counted as N. The feedback unit is manually fed back, manually marked and manually screened by workshop manufacturing personnel or management units. After collecting abnormal collection data and target collection data that multiple data collection units fail to feedback, the feedback unit performs workshop statistics, generation time range value statistics and data type statistics on the non-received abnormal collection data and target collection data. The strategy update and early warning module updates or optimizes the task establishment algorithm of the collection task execution unit based on the counted time range value, location data of the manufacturing workshop, and data type. After the feedback unit collects data feedback from multiple data collection units, workshop manufacturing personnel or management personnel evaluate the collection strategy weight value of the data collection unit to which they belong, and the obtained collection evaluation weight value is ∑Q.

8. The wireless data acquisition system for MES manufacturing execution system according to claim 5, characterized in that: The acquisition weight ranking unit collects the target data set and the actual data set of each data acquisition unit in real time. After the target data set and the actual data set of each data acquisition unit are collected, the strategy evaluation unit automatically calculates the matching degree ∑P between the actual data set and the target data set. After the strategy evaluation unit evaluates the data acquisition strategy for each data acquisition unit, an acquisition weight ranking value KP is generated. The following algorithm is used for KP calculation: After the collection weight sorting unit calculates the collection weight sorting value KP of each data collection unit, it sorts the data of each data collection unit according to the size sorting algorithm. When the host performs data collection, it collects data from multiple data collection units in sequence according to the sorting strategy under limited bandwidth conditions; When the collection weight ranking value KP of a data collection unit is ≧ Z, the host will issue a data alarm and remind the management personnel to reset and edit the collection strategy.

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