CN114338732B - Hot processing multi-process data feedback method based on industrial Internet of things - Google Patents
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Abstract
The hot processing multi-process data feedback method based on the industrial Internet of things comprises the following specific steps: setting a network allocation vector for a traditional node by utilizing a modified CTS-to-self frame so that the traditional node enters a sleep or doze state to be compatible with traditional equipment, sending a hot processing multi-process request data transmission to an AP/access point by utilizing a modified RTS frame, dividing the data transmission into two time slots, and transmitting data feedback to a relay node by using first time slot sensing equipment; the second time slot sensing device directly feeds back data to the source end, the access point AP feeds back the data to the source end in an orthogonal frequency mode, and finally the source end performs maximum ratio combination on the received data to obtain more accurate data, so that the problem of high-efficiency data transmission of multiple processes is solved, and the problems of low data transmission efficiency, short transmission distance and the like of the existing industrial Internet of things are solved.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a hot processing multi-process data feedback method based on an industrial Internet of things.
Background
Industry is a strong pulse place in China, and with the proposal of advanced manufacturing strategies such as 2025, 4.0 and the like in China, new generation information technologies such as cloud computing, big data, internet of things and the like are continuously fused with industrial production, and related industrial application is generated. In the reform process of industrial production, the problems of improving the management level of industrial production, guaranteeing the reliability of industrial process, improving the quality of products, visualizing the data of production flow and the like prevent the development of industrial modernization process, and the construction of digital industrial requirements is urgent. The key of technologies such as the internet of things, big data and cloud computing is self-evident in solving the problems, but various enterprises in the industry are continuously exploring how to better promote the development and progress of industrial digitization by utilizing the emerging technologies, and the premise of realizing the application of information technology to industrial development is that the real-time accurate acquisition of industrial process data is realized, and the fusion of data acquisition and technologies such as cloud service and industrial Internet is the key of industrial process digitization.
Along with the continuous expansion of industrial production scale and the fusion of production processes, the requirements of industrial automation and digitalization are improved, the number and the types of equipment of industrial processes are continuously increased, and data parameters to be monitored are more and more complex. According to different industrial requirements, the industrial system establishes connection among different kinds of equipment, controllers, sensors and the like through a network to form a data interaction network. The compatibility of the equipment of the whole industrial system, the real-time performance of data acquisition and processing, the low coupling performance of equipment communication and the reliability of data transmission are very high, and the traditional data acquisition device cannot meet the digital industrial requirements in the aspects of data transmission, data processing and the like.
Disclosure of Invention
The invention aims to solve the defects of the technical problems, and provides a hot processing multi-process data feedback method based on the industrial Internet of things, which utilizes the existing network architecture of a factory workshop to establish a communication process between all sensors and a base station in the whole range, so as to complete the acquisition and transmission of hot processing process data, solve the problem of high-efficiency data transmission of the multi-process, and solve the problems of low data transmission efficiency, short transmission distance and the like of the existing industrial Internet of things.
The invention adopts the technical proposal for solving the technical problems that:
The hot processing multi-process data feedback method based on the industrial Internet of things comprises the following steps:
step one: sending a hot processing process data feedback instruction through a terminal, and sending a CTS-to-self instruction to all relay nodes in a range by an access point AP deployed in an industrial factory building, so that all the Internet of things equipment enters a waiting sending mode, and if data interaction is in progress, sending a CF-end frame by the AP to terminate; when sending a CTS-to-self frame, the AP sends a full feedback notice of heat treatment process data to all relay nodes in the range of the AP;
The heat treatment process data full feedback notice comprises the steps of sending a CTS-to-self to a cast-forge welding heat sensing device of the frame, wherein the modification indication of a subtype field of a frame control field covers the full flow of a heat treatment process and the flow of casting, forging, welding and heat treatment separation processes, 0101 represents the full flow process data feedback of the heat treatment process, 0001 represents the feedback of the casting process, 0010 represents the feedback of the forging process, 0011 represents the feedback of the welding process and 0100 represents the feedback of the heat treatment process;
Step two: AP performs relay cooperative feedback on the data of the whole cast-weld heat flow;
step three: the relay performs frequency domain orthogonal transmission;
step four: the terminal collects the hot working process data, which can be completed through two time slots, and the method comprises the following specific steps:
S1: the first time slot is the first time slot when the retry of the RTS frame structure and the bit of more data indicate 01, the terminal sends RTS control frame to announce data collection, only the sensing equipment is allowed to transmit the hot working process data to the relay node, and the two bits are also indicated as 01 at the same time when the CTS responds;
S2: the second time slot, the retry of the RTS frame structure and the bit mark of more data are the second time slot when 11, which allows the sensing device to not transmit to the AP through the relay node, the data is directly fed back to the AP in the time slot, and the AP can feed back the data code of the first time slot to the terminal through another frequency orthogonalization;
S3: and the terminal performs maximum ratio combination on the data collected by the two time slots, so that the signal transmission quality of the receiving end is improved.
Further, the hot processing multi-process data feedback method is based on a wireless Internet of things mechanism IEEE 802.11ah.
Further, the terminal comprises a mobile phone APP or a computer program.
In the fourth step, when the plurality of sensing devices relay feedback data to one frequency point at the same time, the relay node performs network coding on the data of the plurality of sensing devices and feeds the data back to the access point AP.
Further, when the plurality of sensing devices perform feedback transmission, filling feedback is performed on the frame body part of the data frame in sequence.
The beneficial effects of the invention are as follows:
Compared with the traditional method, the invention realizes the collection of the data of the hot working process, greatly improves the throughput of the system, and on the premise of being compatible with the existing wireless internet of things mechanism, the invention realizes the large-scale orderly feedback of the hot working process through relay coordination and Access Point (AP), thereby not only realizing the efficient, safe and reliable transmission of the data, but also having better network deployment compatibility.
Drawings
The accompanying drawings are included to provide a further understanding of the application, and are incorporated in and constitute a part of this specification.
FIG. 1 is a schematic diagram of the feedback of the thermal processing process of the industrial Internet of things implemented by the invention;
FIG. 2 is a block diagram of a modified "CTS-to-Self" frame in an embodiment of the invention;
FIG. 3 is a first time slot and a second time slot polling transmission indication according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a sequential feedback separation indication of data frames according to an embodiment of the present invention;
Fig. 5 is a flowchart of information transmission according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated below in conjunction with specific examples.
The specific embodiment is as follows:
the sensor is used for acquiring data of basic manufacturing hot working experiments, production process and quality such as casting, forging, welding and heat treatment, and then packaging and uploading the data to the cloud server.
Setting a network allocation vector for a traditional node by utilizing a modified CTS-to-self frame so that the traditional node enters a sleep or doze state to be compatible with traditional equipment, sending a hot processing multi-process request data transmission to an AP/access point by utilizing a modified RTS frame, dividing the data transmission into two time slots, and transmitting data feedback to a relay node by using first time slot sensing equipment; the second time slot sensing device directly feeds back the data to the source end, the access point AP feeds back the data to the source end in the orthogonal frequency, and finally the source end performs maximum ratio combination on the received data, so that more accurate data is obtained. Because the data volume of the thermal processing process such as casting, forging, welding, heat treatment and the like is large, the data can be directly stored into a database through the feedback transmission of the thermal processing process data in order to ensure the safe and efficient transmission of the data, and the data can be obtained and transmitted efficiently.
Embodiment one:
The working method of the hot processing single process data acquisition method based on the wireless Internet of things comprises the following steps:
step one: and sending a thermal processing process data feedback instruction through a mobile phone APP or a computer program, and sending a CTS-to-self instruction to all relay nodes in a range by an access point AP deployed in an industrial factory building, so that all Internet of things equipment enters a waiting sending mode, and if data interaction is in progress, sending a CF-end frame by the AP to terminate so as to start a thermal processing cast-weld thermal whole-flow process data feedback stage.
An Access Point (AP) associated with a mobile phone APP or a computer program sends a full feedback notice of the heat treatment process of cast weld heat, and the notice is notified based on a CTS-to-self frame of IEEE 802.11ah standard protocol, namely, the full feedback notice of the heat treatment process data is sent to all relay nodes in the range of the AP when the AP sends the CTS-to-self frame.
The announcement of the CTS-to-self frame is accomplished by sending the frame "CTS-to-self" to the cast-weld heat sensing device (as shown in fig. 2), wherein modifying the "subtype" field of the frame control field indicates that the overall hot working process flow and the casting, forging, welding, and heat treatment split process flow are encompassed. The subtype 0000-0110 is reserved field, 0101 is hot working full-flow process data feedback, 0001 is casting process feedback, 0010 is forging process feedback, 0011 is welding process feedback, and 0100 is heat treatment process feedback.
On the premise of being compatible with the existing wireless Internet of things mechanism IEEE 802.11ah, the control field of the CTS-to-self frame is used for representing the full-flow process data feedback, the casting process feedback, the forging process feedback, the welding process feedback and the heat treatment process feedback of the hot working, so that the data transmission of different processes is controlled, and the efficient data transmission of multiple processes is realized.
Step two: AP performs relay cooperative feedback on the data of the whole cast-weld heat flow; the problem that signal quality is poor due to the influences of heat, noise and the like in an industrial factory building is avoided, and the access point AP cooperatively performs data feedback transmission of the whole cast-forge welding heat flow through relay, so that stability of data transmission is enhanced.
Step three: the relay performs frequency domain orthogonal transmission; different relays can adopt different frequencies to carry out frequency domain orthogonal transmission, so that safe and efficient transmission of data is ensured, and more accurate data is obtained.
Step four: the terminal collects the hot working process data, which can be completed through two time slots, and the method comprises the following specific steps:
s1: the first time slot, the mobile phone APP or the computer program sends an RTS control frame to announce data collection, wherein the retry and more data bits of the RTS frame structure are generally 0, the two bits are denoted as the first time slot when the two bits are denoted as 01, only the sensing equipment is allowed to transmit hot working process data to the relay node in the first time slot, and the two bits are simultaneously denoted as 01 when the CTS responds;
S2: the second time slot, two bits of "retry" and "more data" are labeled "11", in which the sensing device is allowed to be unable to pass through the relay node to the AP, in which the data is fed back directly to the access point AP, while the access point AP can feed back the data code of the first time slot to the terminal through another frequency orthogonalization.
S3: the terminal performs maximum ratio combination on the data collected by the two time slots;
The signal transmission quality of the receiving end is improved, and the machine learning hot processing technology performance prediction based on data fusion can be realized more accurately in the subsequent database establishment process; the relay coordination and the access point AP are used for carrying out large-scale orderly feedback of the hot processing technology, so that high-efficiency, safe and reliable data transmission is realized, and the network deployment compatibility is better.
Further, the hot processing multi-process data feedback method is based on a wireless Internet of things mechanism IEEE 802.11ah.
Further, if a plurality of sensing devices relay feedback data to one frequency point at the same time, the relay node can perform network coding on the data of the plurality of sensing devices and then feed back the data to the Access Point (AP), wherein the relay node codes the data of the plurality of sensing devices;
The stage is divided into two cases, wherein in the first case, when a plurality of data of the same process (such as one of casting and forging welding heat) are transmitted in a relay cooperative manner, the data of the multi-sensing equipment can be subjected to physical layer network coding, wherein in the frame interaction process, a process indication is set as the process indication bit; in the second case, when feedback transmission is performed by multiple processes, filling feedback is sequentially performed on the frame body part of the data frame, for example, four processes of casting, forging, welding and heat treatment are sequentially performed, and different process data are separated by adopting continuous 0 or 1 or special symbols.
The method overcomes the limitation of single-flow data feedback of the traditional cast-weld heat, ensures large-scale orderly feedback of data, and can achieve high-efficiency and reliable data transmission when a plurality of processes perform feedback transmission.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to the embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. The hot processing multi-process data feedback method based on the industrial Internet of things is characterized by comprising the following steps of:
The method comprises the following steps:
step one: sending a hot processing process data feedback instruction through a terminal, and sending a CTS-to-self instruction to all relay nodes in a range by an access point AP deployed in an industrial factory building, so that all the Internet of things equipment enters a waiting sending mode, and if data interaction is in progress, sending a CF-end frame by the AP to terminate; when sending a CTS-to-self frame, the AP sends a full feedback notice of heat treatment process data to all relay nodes in the range of the AP;
Sending a CTS-to-self frame to a cast-weld heat sensing device, wherein the modification indication of a subtype field of a frame control field covers a full hot working process flow and a casting, forging, welding and heat treatment split process flow, 0101 is a full hot working process data feedback, 0001 is a casting process feedback, 0010 is a forging process feedback, 0011 is a welding process feedback, and 0100 is a heat treatment process feedback;
Step two: AP performs relay cooperative feedback on the data of the whole cast-weld heat flow;
step three: the relay performs frequency domain orthogonal transmission;
step four: the terminal collects the hot working process data, the terminal collects the hot working process data and is completed through two time slots, and the method comprises the following specific steps:
S1: the first time slot is the first time slot when the retry of the RTS frame structure and the bit of more data indicate 01, the terminal sends RTS control frame to announce data collection, only the sensing equipment is allowed to transmit the hot working process data to the relay node, and the two bits are also indicated as 01 at the same time when the CTS responds;
S2: the second time slot, the retry of the RTS frame structure and the bit mark of more data are the second time slot when 11, which allows the sensing device to not transmit to the AP through the relay node, the data is directly fed back to the AP in the time slot, and the AP feeds back the data code of the first time slot to the terminal through another frequency orthogonalization;
S3: and the terminal performs maximum ratio combination on the data collected by the two time slots, so that the signal transmission quality of the receiving end is improved.
2. The industrial internet of things-based thermal processing multi-process data feedback method of claim 1, wherein: the hot processing multi-process data feedback method is based on a wireless Internet of things network mechanism IEEE 802.11ah.
3. The industrial internet of things-based thermal processing multi-process data feedback method of claim 1, wherein: the terminal comprises a mobile phone APP or a computer program.
4. The industrial internet of things-based thermal processing multi-process data feedback method of claim 1, wherein: in the fourth step, when the plurality of sensing devices relay feedback data to one frequency point at the same time, the relay node performs network coding on the data of the plurality of sensing devices and feeds the data back to the access point AP.
5. The industrial internet of things-based thermal processing multi-process data feedback method of claim 4, wherein: when a plurality of sensing devices perform feedback transmission, filling feedback is performed on the frame body part of the data frame in sequence.
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