CN110035055B - Method for transmitting remote data of industrial equipment - Google Patents

Method for transmitting remote data of industrial equipment Download PDF

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Publication number
CN110035055B
CN110035055B CN201910124435.XA CN201910124435A CN110035055B CN 110035055 B CN110035055 B CN 110035055B CN 201910124435 A CN201910124435 A CN 201910124435A CN 110035055 B CN110035055 B CN 110035055B
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data
equipment
current
server
reference information
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CN110035055A (en
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刘飞香
程永亮
谭新
贺泊宁
陈泓璇
宁方可
游凯伦
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China Railway Construction Heavy Industry Group Co Ltd
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China Railway Construction Heavy Industry Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/08—Protocols for interworking; Protocol conversion

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Security & Cryptography (AREA)
  • Telephonic Communication Services (AREA)
  • Computer And Data Communications (AREA)

Abstract

The invention discloses a method for acquiring and processing remote data of transmission industrial equipment, which comprises the following steps: acquiring equipment state data obtained in the current acquisition period according to a preset data acquisition time interval; comparing each parameter in the current equipment state data with a corresponding parameter in the reference information based on the current reference information, and integrating the information of the changed parameters to obtain changed parameter data; in a preset data sending period comprising a plurality of data acquisition time intervals, caching the generated change parameter data, and packaging the change parameter data to obtain corresponding equipment data; and carrying out lossless compression on the equipment data to obtain corresponding equipment transmission data, and sending the data to the server. The invention utilizes the modes of differential data transmission and variable-speed data acquisition, ensures the data integrity transmission, lightens the pressure of the server and realizes the acquisition and transmission mode of multiple data and high acquisition frequency.

Description

Method for transmitting remote data of industrial equipment
Technical Field
The invention relates to the technical field of communication, in particular to a transmission method for transmitting industrial equipment remote data.
Background
At present, with the increasing development and growth of industrial internet, the remote monitoring of industrial equipment is increasingly popularized, and the technology is mature. But simultaneously, as the industrial equipment is increasingly powerful, the data required to be collected by remote monitoring is increasing. Generally, for a single industrial device, the point of the parameter type that needs to be transmitted to the server is generally over 1000, and thus, to ensure real-time performance and integrity of data, the requirement on the transmission mode of the acquired data is higher and higher.
At present, the acquisition and transmission of industrial equipment remote monitoring data have the following conditions: firstly, the data acquisition frequency of part of equipment still cannot reach one second level, so that the acquired data cannot meet the fault analysis of remote equipment or the requirement of big data analysis, and therefore useful information cannot be extracted to make reference for product upgrading optimization; secondly, part of the system can achieve second-level data acquisition, the amount of acquired data is huge due to the increase of parameter type point locations of the acquired data, and the transmission and storage of the data have high requirements on a server; at present, most of remote acquisition is realized based on the Internet, and due to the fact that instability factors exist in the network, if the network is unstable, transmission is prone to being blocked.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method for acquiring and processing remote data of transmission industrial equipment, which comprises the following steps: acquiring equipment state data, which is acquired in a current acquisition cycle and comprises real-time monitoring information of all parameters needing to be transmitted to a server side by an equipment side, according to a preset data acquisition time interval; comparing the real-time monitoring information of each parameter in the current equipment state data with the corresponding parameter in the reference information based on the current reference information, integrating the real-time monitoring information of the changed parameter to obtain changed parameter data, and updating the current reference information by using the current changed parameter data, wherein the reference information is the equipment state data of the previous acquisition period; step three, in a preset data sending period comprising a plurality of data acquisition time intervals, caching the generated change parameter data, and packaging the cached change parameter data to obtain corresponding equipment data; and fourthly, performing lossless compression processing on the equipment data to obtain corresponding equipment transmission data, and sending the data to the server side.
Preferably, before the step one, the method further comprises the following steps: when the communication session is successfully established between the equipment end and the server end, acquiring the equipment state data acquired when the communication session is successfully established, marking the equipment state data with reference information to obtain complete reference information, and taking the current equipment state data as the initial reference information of the equipment end; and taking the complete reference information aiming at the equipment end as the current equipment data, converting the complete reference information into the equipment transmission data and transmitting the equipment transmission data to the server end.
Preferably, the first step includes: detecting the current equipment state data and diagnosing the current working state of the equipment; receiving and analyzing server state information, and judging whether a coordination acquisition time interval representing the overload operation of the current server is extracted from the server state information; and automatically adjusting the data acquisition time interval according to the working state diagnosis result and the coordinated acquisition time interval extraction result.
Preferably, when the current device is in a non-construction state, the current data acquisition time interval is set to be a preset shutdown state data acquisition time interval, wherein the shutdown state data acquisition time interval is greater than the data acquisition time interval.
Preferably, when the current device is in the working state, if a coordinated acquisition time interval representing the overload operation of the current server is extracted from the server state information, the data acquisition time interval of the current device end is set as the coordinated acquisition time interval.
Preferably, in the fourth step, the equipment data is compressed by using a GZIP method, so as to obtain corresponding equipment transmission data.
Preferably, when the establishment of the communication link between the equipment terminal and the server terminal is completed, the user identity information of the equipment terminal is acquired, and the user identity information is sent to the server terminal; and when a communication session instruction sent from the server is received within a preset communication session time threshold, the equipment end and the server successfully establish a communication session.
Preferably, the fourth step further includes clearing a counter for recording the number of the buffered data of the change parameter in the same data transmission period and a buffer memory for storing a buffer variable generated in the buffer processing.
In another aspect, the present invention provides a receiving and processing method for transmitting industrial equipment remote data, including: when the equipment end and the server end successfully establish a communication session, receiving the equipment transmission data obtained by the acquisition and processing method, and decompressing the data to obtain corresponding equipment data; analyzing the equipment data, judging the equipment side to which the equipment data belongs, and detecting whether the current equipment data contains a reference information mark; when the equipment data do not contain the reference information marks, splitting the equipment data according to the number of data acquisition time intervals included in a preset data receiving period aiming at the equipment end to obtain a plurality of change parameter data matched with the number at present; identifying the acquisition time of the change parameter data, and based on the acquisition time, correspondingly configuring each change parameter data to the current reference information by using the current reference information in the current equipment end database to obtain all the equipment state data acquired for the equipment end in the data receiving period; and determining the corresponding current reference information in the current equipment-side database.
Preferably, under the condition that the server side runs in an overload mode, a coordinated acquisition time interval for unifying the data acquisition frequency of all the equipment sides establishing communication sessions with the server side is generated; and writing the coordinated acquisition time interval into server state information, and sending the current server state information to a specified equipment terminal.
Preferably, when it is detected that the reference information mark is included in the current equipment data, the complete reference information in the equipment data is acquired and stored in the current device-side database to serve as the initial reference information in the database.
Preferably, in the step of identifying the collection time of the variation parameter data, and based on this, configuring each variation parameter data to the current reference information by using the current reference information in the current equipment side database, and obtaining all the equipment state data acquired for the equipment side in the data receiving period, the method further includes: and correspondingly configuring the change parameter data with the farthest acquisition time into the current reference information in the current equipment-side database one by one according to the sequence of the acquisition times of the change parameter data, and taking the obtained new equipment state data aiming at the current acquisition time as the current reference information in the next configuration processing until obtaining the equipment state data with the latest acquisition time and taking the equipment state data as the current reference information of the plurality of change parameter data in the next data receiving period.
Preferably, under the condition that the communication link is established between the equipment terminal and the server terminal, the user identity information sent from the equipment terminal is obtained, and the validity diagnosis is performed on the information by using the user identity database, wherein if the information is valid, a communication session instruction is generated and sent to the corresponding equipment terminal, so that the communication session is successfully established between the equipment terminal and the server terminal.
In addition, the invention also provides a transmission method for the remote data of the industrial equipment, which comprises the following steps: the collecting and processing method is as described above; and a receiving and processing method as described above.
In addition, the invention also provides a device end device for transmitting the remote data of the industrial equipment, and the device end device is obtained by adopting the method.
In addition, the invention also provides a server-side device for transmitting the remote data of the industrial equipment, wherein the server-side device is obtained by adopting the method.
Furthermore, the present invention also proposes a transmission system for industrial equipment remote data, the transmission system comprising: an apparatus as described above and a server as described above.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the invention provides a transmission method and a collection and processing method for industrial equipment remote data. According to the method, through a data transmission mode of only transmitting differential data, the integrity of the data is guaranteed, the amount of the transmitted data is greatly reduced, and the lossless compression effect is better through packaging processing. Furthermore, the invention integrates the strategy of data acquisition frequency adjustment, and reduces the operating pressure for the server under the condition of ensuring continuous and complete data transmission, thereby realizing the data acquisition and transmission mode with multiple data and high acquisition frequency.
While the invention will be described in connection with certain exemplary implementations and methods of use, it will be understood by those skilled in the art that it is not intended to limit the invention to these embodiments. On the contrary, the intent is to cover all alternatives, modifications and equivalents as included within the spirit and scope of the invention as defined by the appended claims.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a step diagram of a collecting and processing method in a transmission method for industrial equipment remote data according to an embodiment of the present application.
Fig. 2 is a detailed flowchart of the device-side apparatus 100 for the acquisition and processing method in the transmission method of the industrial equipment remote data according to the embodiment of the present application.
Fig. 3 is a flowchart of an acquisition frequency adjustment strategy of an acquisition and processing method in a transmission method of industrial equipment remote data according to an embodiment of the present application.
Fig. 4 is a flowchart illustrating a receiving and processing method in a transmission method for industrial equipment remote data according to an embodiment of the present application.
Fig. 5 is a detailed flowchart of the server-side device 200 for receiving and processing in the method for transmitting remote data of industrial equipment according to the embodiment of the present application.
Fig. 6 is a schematic structural diagram of a transmission system for industrial equipment remote data according to an embodiment of the present application.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Generally, for a single industrial device, the types (point locations) of parameter types that need to be transmitted to a server for monitoring and analysis are generally over 1000, and thus, to ensure real-time performance and integrity of transmitted data, requirements on a transmission mode of acquired data are higher and higher. At present, the acquisition and transmission of industrial equipment remote monitoring data have the following conditions: firstly, the data acquisition frequency of part of equipment still cannot reach one second level, so that the acquired data cannot meet the fault analysis of remote equipment or the requirement of big data analysis, and therefore useful information cannot be extracted to make reference for product upgrading optimization; secondly, part of the system can achieve second-level data acquisition, the amount of acquired data is huge due to the increase of parameter type point locations of the acquired data, and the transmission and storage of the data have high requirements on a server; at present, most of remote acquisition is realized based on the Internet, and due to the fact that instability factors exist in the network, if the network is unstable, transmission is prone to being blocked.
Therefore, in order to overcome the above-mentioned deficiencies in the prior art, the present embodiment proposes a collection and processing method for transmitting industrial equipment remote data and a transmission method for industrial equipment remote data. The method comprises the steps of utilizing equipment state data which are acquired in real time and need to be transmitted to a server as reference information, comparing the equipment state data acquired in the next acquisition period with the reference information to obtain changed parameters, namely transmission data which are actually transmitted to the server, further caching the transmission data of a plurality of acquisition periods, packaging and compressing the transmission data, and then transmitting the transmission data to the server. The mode of only transmitting the difference data effectively reduces the number of parameter type point positions of data transmitted every second, and reduces the pressure of a server side under the condition of ensuring the integrity and the real-time property of data acquisition. In addition, the invention can also reduce the acquisition frequency of the equipment state data according to the working state of the equipment at the equipment end and/or according to the load condition fed back by the server end, and simultaneously ensure the data acquisition frequency under the condition of ensuring the data processing and storing pressure at the server end so as to meet the requirements of subsequent data analysis including equipment fault diagnosis, equipment design optimization and upgrade and the like.
Generally, a transmission method of industrial equipment remote data is applied to a transmission system of industrial equipment remote data (industrial equipment remote data transmission system). Fig. 6 is a schematic structural diagram of a transmission system for industrial equipment remote data according to an embodiment of the present application. As shown in fig. 6, the system includes a server-side apparatus (also referred to as "server-side") 200 and a plurality of equipment-side apparatuses (also referred to as "equipment-side") 100. Each of the equipment-side devices 100 is capable of real-time communication with the server-side device 200. The device-side apparatuses 100 are distributed at different position coordinates and provided with corresponding kinds of industrial equipment. Wherein, industrial equipment includes: the device is used for special equipment such as a heading machine, a drill jumbo, a wet jet machine and the like for underground construction or mountain tunnel construction. The equipment-side devices 100 are located remotely and distributed across the country with the industrial equipment (each piece of industrial equipment is equipped with a ground monitoring computer, i.e., the equipment side described herein, for storing and transmitting equipment status data for that piece of industrial equipment). The server 200 is centrally arranged in a company or at the location of an engineering owner, and is used for storing, monitoring and analyzing the state data of a plurality of heading machines at the same time, and data transmission across provinces and cities and sometimes across countries often exist in the actual application process, so that remote monitoring and centralized control of industrial equipment in various regions are realized.
In the embodiment of the present invention, each industrial equipment corresponds to one equipment end device 100, and the server end device 200 is configured to receive and monitor the equipment state data sent by each equipment end device 100, and further perform data analysis including equipment fault diagnosis, equipment design optimization and upgrade, and the like. It should be noted that the industrial equipment in the embodiment of the present invention is not limited to the above-ground industrial equipment, and includes underground excavation equipment and the like.
Preferably, the equipment-side device 100 is integrated in an industrial personal computer of the industrial equipment, and the equipment state data for the current equipment-side device 100 includes: the parameters or states corresponding to all parameters (types) that need to be sent to the server device 200 for monitoring, such as various sensor signals, monitoring data, analysis data, and operating states of various components, acquired by the industrial personal computer (in the embodiment of the present invention, the parameters or states are referred to as real-time monitoring information for the parameter types). Each piece of real-time monitoring information includes an identifier of the parameter (the identifier is an identifier of a parameter category, and may be understood as a parameter category number) and a value or a state corresponding to the identifier.
Further, the device-side apparatus 100 is implemented by the method for acquiring and processing remote data of industrial equipment according to the present invention (including the following steps S110 to S150), and performs processing such as adjustment of acquisition frequency, differential detection, and differential data transmission on device state data acquired in real time. The server-side device 200 is implemented by a receiving and processing method for transmitting industrial equipment remote data according to the present invention (including the following steps S210 to S250), and stores and refers to information for determining each piece of equipment status data received in real time, and feeds back a server load status to the equipment-side equipment 100. In addition, the industrial equipment remote data transmission system is realized by the industrial equipment remote data transmission method provided by the invention, and the data transmission method comprises the acquisition and processing method and the receiving and processing method.
Example one
Fig. 1 is a step diagram of a collecting and processing method in a transmission method for industrial equipment remote data according to an embodiment of the present application. Fig. 2 is a detailed flowchart of the device-side apparatus 100 for the acquisition and processing method in the transmission method of the industrial equipment remote data according to the embodiment of the present application. The following describes a method for collecting and processing remote data of industrial equipment according to the present invention with reference to fig. 1 and 2.
In an actual application process, in order to ensure the security of the monitoring data of the industrial equipment, the device end 100 corresponding to the industrial equipment arranged at different positions needs to establish a communication session between the device end 100 and the server end 200 in a manner of logging in a server by a user with a legal identity. It should be noted that, in the entire industrial equipment remote data transmission system, the server 200 can communicate with a plurality of device ends 100 disposed at different locations in the same manner, and therefore, the embodiment of the present invention only describes a transmission process (method) between one of the device ends 100 and the server 200, that is, the following industrial equipment refers to industrial equipment located at the same location coordinate. Similarly, the device side 100 refers to the device side 100 corresponding to the industrial equipment located at the same position coordinate.
In addition, it should be noted that the term "acquiring" appearing in the acquiring period, the acquiring frequency, and the like of the equipment end 100 described below does not only refer to the acquiring process of the equipment such as the sensor device, but refers to the acquiring stage of the equipment state data of all the parameters (corresponding real-time monitoring information) that are acquired by the industrial equipment industrial personal computer and need to be transmitted to the server end 200 for monitoring.
As shown in fig. 1 and 2, in step S110, when the device side 100 and the server side 200 successfully establish the communication session, initial reference information of the device side 100 is determined. Specifically, when the device end 100 and the server end 200 successfully establish the communication session, and when the initial reference information of the device end 100 is determined, the device end 100 needs to acquire the device state data of the current acquisition cycle acquired when the communication session is successfully established, reference information marking is performed on the acquired device state data of the current acquisition cycle to obtain complete reference information (the complete reference information at least includes the current device state data and the reference information marking), and the current device state data is used as the initial reference information of the device end 100. Further, the current device side 100 uses the complete reference information for the device side 100 as current equipment data according to the method described in the following steps S140 and S150, and after the equipment data is subjected to lossless compression processing, the equipment data is converted into equipment transmission data and transmitted to the server side 200. The device status data is real-time monitoring information of all types of parameters that the current device 100 needs to transmit to the server 200 for monitoring.
The process of successfully establishing the communication session between the device side 100 and the server side 200 is implemented according to the following procedures. First, after the current device side 100 is started, the process proceeds to step S1101, and the current device side 100 transmits a connection request command to the server side 200. Then, the process proceeds to step S1102, and it is determined whether the connection between the current device side 100 and the server side 200 is successful. In one embodiment, when the device side 100 receives the connection response command sent from the server side 200, the establishment of the communication link between the current device side 100 and the server side 200 is completed. Thus, normal communication can be performed between the current device 100 and the server 200. In another embodiment, when the device side 100 does not receive the connection response instruction sent from the server side 200, the communication link between the device side 100 and the server side 200 is not established yet, so that the two devices cannot communicate with each other.
Next, in step S1103, when the establishment of the communication link between the current device end 100 and the server end 200 is completed, the current device end 100 acquires the user identity information, and sends the user identity information to the server end 200, to be validated, so as to enter step S1104. In step S1104, the device side 100 needs to determine whether the current device side 110 and the server side 200 successfully establish a communication session, that is, whether the current device side 100 can access (successfully log in) the server side 200, in a manner that the server side 200 performs validity verification on the user identity information. Specifically, when the device end 100 receives the communication Session command sent from the server end 200 within the preset communication Session time threshold, the current device end 100 and the server end 200 successfully establish the communication Session, that is, successfully establish the communication Session. In this way, after the current device 100 and the server 200 successfully establish the communication session, the initial reference information is further obtained and stored. In addition, when the device end 100 does not receive the communication session command sent from the server end 200 within the preset communication session time threshold, the communication session task is not successfully established between the device end 100 and the server end 200. The communication session command includes the following server state information.
The device side 100 has a monitoring data database for storing device status data acquired in real time for the industrial equipment herein and a reference information database for storing reference information. The reference information in the reference information database is dynamically changed according to the change of the acquisition period, and the reference information refers to the equipment state data corresponding to the previous acquisition period in the current acquisition period.
With continued reference to fig. 1 and fig. 2, in step S120, the current device end 100 obtains, according to a preset data acquisition time interval (at a preset data acquisition frequency), device state data, which is obtained in the current acquisition cycle and includes real-time monitoring information of all parameters that the current device end 100 needs to transmit to the server end 200.
In step S130, the current device end 100 compares the real-time monitoring information of each parameter in the current device state data with (the real-time monitoring information of) the corresponding parameter in the reference information based on the current reference information, further integrates the real-time monitoring information of the changed parameter to obtain corresponding changed parameter data, and updates the current reference information by using the current changed parameter data, so as to use the current device state data as the reference information for the comparison processing of the next acquisition cycle.
Specifically, in step S131, the current device end 100 compares the value or state of each parameter included in the device state data in the current acquisition cycle with the value or state (reference information) of each parameter included in the device state data in the previous acquisition cycle.
Step S132 is to perform integration processing, data format unification processing, and time stamping on the real-time monitoring information of the changed parameters to obtain corresponding changed parameter data. Wherein, the data format is processed into a form of byte array uniformly. In addition, the changed parameter data in the current acquisition cycle at this time includes an identifier of the parameter changed compared to the previous acquisition cycle and a changed value or state corresponding to the identifier. For example: the value of the parameter may be a temperature measurement value of a certain temperature measurement point, and the like, and the state of the parameter may be whether the current temperature of the certain temperature measurement point is in a safe state or in an abnormal temperature state, and the like.
Referring to fig. 2, in step S133, the current device side 100 further inputs the current change parameter data into the reference information database, and updates the reference information stored therein. Specifically, the changed value or state corresponding to each parameter identifier in the changed parameter data is replaced to the corresponding parameter identifier in the current reference information to complete the updating of the reference information, so that the device state data of the current acquisition cycle is used as the data basis for the comparison processing of the next acquisition cycle.
As described above, after the communication session task between the device side 100 and the server side 200 is successfully established, the device side 100 first compresses and transmits a piece of complete data (including the identifiers and values of all parameters) including the states or values of all parameters, i.e., the initial reference information, to the server side 200. The server 200 stores the data in a memory or a cache database. The complete data is used as initial reference information, and the equipment state data of each second acquired subsequently only needs to be compared with the last one, and the state or the value of which parameter is changed, and only the changed parameter identification and value are transmitted. Therefore, the number of data transmitted per second is effectively reduced through data difference acquisition and transmission, the data transmission quantity is effectively reduced on the basis of guaranteeing second-level transmission, and the pressure of the server 200 is reduced.
With continuing reference to fig. 1 and fig. 2, in step S140, the current device end 100 performs a buffering process on the generated variation parameter data in a preset data sending cycle including a plurality of data acquisition time intervals, and performs a packing process on the plurality of buffered variation parameter data to obtain corresponding equipment data. In order to reduce the pressure of the server 200 and/or solve the network congestion and reduce the efficiency of data transmission and processing, the data transmission period (data transmission frequency/data transmission time interval) and the data acquisition period (data acquisition frequency/data acquisition time interval) in the embodiment of the present invention are not consistent. Preferably, the data transmission period comprises a plurality (N) of data acquisition periods. For example: the data acquisition period (data acquisition time interval) is 1s, so that the current device side 100 acquires device status data once every second, and the data transmission period (data transmission time interval) is 5s (N is 5). Therefore, in the data sending period, the device end 100 can collect 5 sets of device state data one by one, when the first set of device state data in the sending period is collected, the data is cached in the cache memory, the second set of device state data is continuously collected and cached in the cache memory, and after the data collection time interval included in the data sending period is collected, all the device state data are packaged to obtain corresponding device data. In addition, after five groups of data are packed, the data packets are compressed, the data packets are far larger than the data packets of 1 second, the effect of lossless data compression is better, and the compression ratio is larger.
As shown in fig. 2, in step S141, the current device side 100 uses an internally-configured counter to detect the number of stored device status data (where N represents the number parameter) in the current data transmission period in real time, and when the number of stored device status data reaches the number of data acquisition time intervals included in the preset data transmission period, the process proceeds to step S142. In step S142, the current device end 100 performs a packing process on all the device state data cached in the current cache memory to obtain corresponding equipment data. It should be noted that the device side 100 not only has the previously constructed counter, but also has a cache memory for storing cache variables generated in the cache processing.
Although the device side 100 collects data once every second, the collected data is not directly transmitted to the server side 200. Because the server 200 may store hundreds or even more of device data, if each device transmits data once a second, the server processing pressure will increase significantly. In addition, if a network condition suddenly fails in a certain second, and data transmission or processing is not smooth, the data transmission or processing may not be responded to every second later. Therefore, in the embodiment of the present invention, the data is sent to the server 200 in a data packaging manner. For example: every 5 seconds of data is packed into a data packet for transmission to the server 200. Even if the network suddenly becomes poor, the server 200 can transmit and process the previous data in 5 seconds, and meanwhile, the IO pressure of the database is reduced, the data is not required to be stored every second, and five pieces of data can be stored every five seconds.
Further, referring to fig. 1, in step S150, the current device side 100 performs lossless compression processing on the equipment data to obtain corresponding equipment transmission data, and sends the data to the server side 200. Specifically, (referring to fig. 2) in step S151 in step S150, in order to ensure the integrity of the transmitted data, the lossless compression processing needs to be performed on the current equipment data. In the embodiment of the invention, a GZIP method is adopted for data compression. It should be noted that, the lossless compression method is not specifically limited in the present invention, and those skilled in the art can select the lossless compression method according to the actual application.
Then, step S152 in step S150 transmits the equipment transmission data subjected to the lossless compression processing to the server 200 through TCP communication. At the same time, the process proceeds to step S153 in step S150, where a counter for recording the number of buffered change parameter data in the same data transmission cycle and a buffer memory for storing a buffer variable generated in the buffer processing are cleared, so that the counting and buffering operations are continued in the next data transmission cycle.
Example two
In the embodiment of the present invention, in order to reduce the data processing and storage pressure of the server 200, the frequency of data acquisition of the device 100 may be adjusted according to the current working state of the device 100 or the load condition of the server 200, so as to reduce the frequency of data transmission, thereby achieving the purpose of reducing the pressure of the server 200.
Fig. 3 is a flowchart of an acquisition frequency adjustment strategy of an acquisition and processing method in a transmission method of industrial equipment remote data according to an embodiment of the present application. As shown in fig. 3, in step S1201, the current device side 100 acquires and detects device status data acquired in real time, and determines a current working status of the current industrial device, that is, determines whether the current device is in a working status. Specifically, whether the equipment corresponding to the current device end 100 is in the working state is determined by detecting the state of a parameter (flag bit) representing the working state of the current device in the device state data.
When the current device is in a non-construction (working) state, the process proceeds to step S1202, and the current data acquisition time interval is automatically adjusted to a preset shutdown state data acquisition time interval (shutdown state data acquisition frequency). Wherein the shutdown state data acquisition time interval is greater than the data acquisition time interval. That is, the original data acquisition frequency is adjusted to the preset shutdown state data acquisition frequency, so as to achieve the purpose of automatically reducing the data acquisition frequency. It should be noted that, because the number of data acquisition time intervals included in the data transmission time interval set by the current device end 100 is not changed, when the data acquisition cycle time interval increases (the data acquisition frequency decreases), the time corresponding to the data transmission cycle time interval also increases (the data acquisition frequency also decreases), so that the current device end 100 transmits the equipment transmission data to the server end 200 according to the data transmission frequency obtained after adjusting the data acquisition frequency, thereby reducing the data processing and storage pressure of the server end 200.
For example: when the device at the equipment end 100 is a heading machine, the heading machine takes a cutter head state as a flag bit, and if the cutter head is in a stop state, the heading machine is not in a heading working state, at the moment, the heading machine has no instantaneous sudden change data, and the parameter changes slowly. Therefore, the acquisition frequency can be slowed down, the data requirement of data analysis at the server side can be met, and meanwhile, the pressure of data acquisition and transmission can be relieved.
Referring to fig. 3 again, after the communication session task is successfully established between the device end 100 and the server end 200, no matter whether the current device end 100 is in a working state at this time, the server end 200 sends server state information representing a communication state between the two according to a certain frequency, and the current device end 100 performs receiving and analyzing operations. Further, in step S1203, the current device side 100 can receive and analyze the server state information sent from the server side 200 in real time, and determine whether the coordinated acquisition time interval representing the overload operation of the current server is extracted from the current server state information. Then, the current device end 100 automatically reduces or maintains the data acquisition time interval according to the working state diagnosis result and the coordinated acquisition time interval extraction result of the current device, so as to adjust the real-time acquisition frequency of the device state data.
In the actual application process, the server 200 generally receives the device status data sent by the multiple device terminals 100, and when the server itself reflects that the storage of the device status data is high, the collection frequency of the multiple device terminals 100 can be uniformly adjusted, and the continuous collection and transmission of the basic data can be ensured by sacrificing the high-frequency data collection and transmission, so that the server 200 is not paralyzed, and the device status data received from each device terminal 100 is completely interrupted or lost. At this time, the server 200 writes the coordinated acquisition time interval information for uniformly adjusting the acquisition frequency of each device 100 into the server state information of each device 100, and sends the information to each device 100.
Specifically, in one embodiment, when the industrial equipment corresponding to the current device end 100 is in the working state, if the coordinated acquisition time interval representing the overload operation of the current server is extracted from the server state information, the process proceeds to step S1205. Step S1205 sets the data acquisition time interval of the current device end 100 to the currently extracted coordination acquisition time interval, so that the current device end 100 needs to acquire device state data according to the frequency corresponding to the coordination acquisition time interval. And the shutdown state data acquisition time interval is greater than the coordination acquisition time interval. Therefore, after receiving the server state information containing the coordinated acquisition time interval information sent by the server 200, each device end 100 in the working state can acquire the device state data according to the frequency corresponding to the coordinated acquisition time interval, so that the purpose of uniformly adjusting the acquisition frequency of each device end 100 establishing a communication session task with the server 200 when the pressure of the server 200 is too high is achieved.
In addition, in an embodiment, when the corresponding equipment of the current equipment end 100 is in a non-construction (working) state, no matter whether the coordinated acquisition time interval representing the overload operation of the current server is extracted from the server state information, the process proceeds to step S1204. In step S1204, the current equipment end 100 continues to collect the equipment status data according to the above-mentioned shutdown status data collection time interval set in the non-construction status.
In addition, in an embodiment, when the device corresponding to the current device end 100 is in the working state, if the current device end 100 does not extract the coordination acquisition time interval from the received server state information, the device state data acquisition continues according to the original data acquisition frequency.
EXAMPLE III
Fig. 4 is a flowchart illustrating a receiving and processing method in a transmission method for industrial equipment remote data according to an embodiment of the present application. Fig. 5 is a detailed flowchart of the server-side device 200 for receiving and processing in the method for transmitting remote data of industrial equipment according to the embodiment of the present application. The following describes a receiving and processing method for transmitting industrial equipment remote data according to the present invention with reference to fig. 4 and 5. The receiving and processing method corresponds to the collecting and processing method in the first embodiment and the second embodiment.
As shown in fig. 4 and 5, in step S210, when the device end 100 and the server end 200 successfully establish a communication session, the server end 200 receives the equipment transmission data obtained by the above-mentioned acquisition and processing method, and decompresses the data to obtain corresponding equipment data.
The communication session is successfully established between the current device 100 and the server 200 through the following procedures. First, the process proceeds to step S2101, and a connection request command transmitted from the device side 100 is received. Further, the current request connection instruction is analyzed to obtain address information corresponding to the current device end 100, and the device end database stored in the server end 200 is utilized to detect whether the address information exists in the preset device end database. In an embodiment, if the connection request exists, a corresponding connection response instruction is sent to the device end 100 that currently sends the connection request instruction, so that the communication link is successfully established between the current device end 100 and the server end 200. In another embodiment, if the address information does not exist in the device-side database, the corresponding connection response instruction cannot be sent to the current device side 100, so that the communication link cannot be established between the current device side 100 and the server side 200. It should be noted that the device database in the server 200 stores all device addresses that can communicate with the server 200.
Then, step S2102 is executed, where the user identity information sent from the current device end 100 is obtained when the communication link between the current device end 100 and the server end 200 is established, and step S2103 is executed to perform validity diagnosis on the information by using the user identity database according to the current user identity information. In order to ensure the security of the data of each device side 100, the server side 200 in the embodiment of the present invention is provided with a user identity database. The user identity data stores identity information of access users that are legal for each device side address. Specifically, the server 200 needs to identify the address of the device that sends the user identity information, and then detect whether the address of the current device in the user identity database has user information that matches the received user identity information (i.e., whether the current user belongs to the current device). If the communication Session exists, it indicates that the user identity is valid, and the user can access the current device end 100, step S2104 is performed to generate a communication Session instruction, and send the communication Session instruction to the corresponding device end 100, so that the current device end 100 and the server end 200 successfully establish a communication Session, and the creation of the communication Session is completed. If the user identity is not valid, it indicates that the user identity is invalid, and the user cannot access the current device end 100, the process proceeds to step S2105, where the communication session instruction cannot be generated, and the communication link connection channel with the corresponding device end 100 is closed.
Then, after the current device end 100 and the server end 200 successfully establish the communication session, step S211 is performed to receive the equipment transmission data obtained by the above-mentioned acquisition and processing method. Further, in step S212, the equipment transmission data is decompressed to obtain equipment data. In the embodiment of the invention, the data decompression method corresponds to the compression method in the acquisition and processing method, and the GZIP method is adopted for data decompression processing. It should be noted that, the lossless decompression method is not specifically limited in the present invention, and may correspond to the compression method in the above acquisition and processing method, and those skilled in the art may select the lossless decompression method according to the actual application situation.
Then, the process proceeds to step S220. The server 200 analyzes the equipment data for the current equipment 100, determines the equipment 100 to which the current equipment data belongs, and detects whether the current equipment data contains a reference information flag. It should be noted that the server 200 is provided with a database for each device capable of establishing a communication session task with the server 200, and is used for storing the device status data sent in real time from the corresponding device. After receiving the equipment data sent from the current equipment terminal 100, the server terminal 200 obtains the location information and the number representing the location and the type of the equipment, so as to determine that the current equipment data needs to be stored in the database corresponding to the current equipment terminal 100 after being further analyzed into the equipment state data. In addition, whether the currently transmitted equipment data is the initial reference information for the equipment side 100 or the plurality of sets of equipment state data subjected to the packet compression can be determined by identifying whether the equipment data contains the reference information flag.
Further, when it is determined that the current device data does not contain the reference information mark, the method proceeds to step S230, and splits the device data according to the preset collection number (N) of the data collection time interval included in the data receiving period of the current device end 100, so as to obtain a plurality of variable parameter data matched with the current collection number. It should be noted that the acquisition number parameter for the current device side 100 may be obtained by initial complete reference information sent to the server side 200.
Next, in step S240, referring to fig. 4, the acquisition time of each piece of variation parameter data is identified, and based on this, each piece of variation parameter data is configured in the current reference information in correspondence with the piece of apparatus state data serving as the current reference information in the current apparatus database, so as to obtain all pieces of apparatus state data acquired for the current apparatus 100 in the current data reception cycle. It should be noted that the data receiving period in the receiving and processing method is the same as the data sending period in the acquiring and processing method, and includes the data acquisition time interval (data acquisition period) corresponding to the acquisition number parameter of the current device end 100.
Further, referring to fig. 5, in step S241, the variation parameter data is combined with the current reference information marked in the last receiving period one by one according to the collection time of the variation parameter data to form all device status data. Specifically, according to the sequence of the acquisition times of the variation parameter data marked by the timestamp, the variation parameter data with the farthest acquisition time is correspondingly configured into the current reference information in the current equipment database one by one, and the obtained new equipment state data aiming at the current acquisition time is used as the current reference information in the next configuration processing until the equipment state data with the latest (latest) acquisition time is obtained and is used as the current reference information of a plurality of variation parameter data in the next data receiving period.
For example: if the equipment data comprises the variation parameter data acquired in 5 data acquisition periods. Analyzing the variation parameter data generated firstly according to the corresponding acquisition time in each variation parameter data, further writing the parameter identification of the variation of the equipment state data obtained in the previous data acquisition period and the value or state corresponding to the changed identification into the corresponding identification position in the current reference information (the current reference information is the equipment state data in the previous data acquisition period) correspondingly to obtain corresponding new equipment state data, and taking the equipment state data obtained at the moment as the current reference information in the next configuration processing. Then, the change parameter data generated first among the remaining 4 pieces of change parameter data is analyzed, and the change parameter data is written into the new current reference information in the same manner as described above to obtain the corresponding device status data, and the device status data obtained at this time is used as the current reference information in the next configuration processing. And repeating the steps until the device state data corresponding to the 5 pieces of variation parameter data are obtained, and using the 5 th generated device state data as the current reference information of the plurality of pieces of variation parameter data in the next data receiving period.
Next, in step S242, the server 200 stores all the device state data acquired for the current device 100 in the current data reception cycle in the database for the current device 100.
Finally, as shown in fig. 4 and 5, in step S250, the server 200 determines the corresponding current reference information in the current device database. That is, the device status data finally subjected to the corresponding configuration processing in all the obtained device status data in the current data receiving period is used as the current reference information to be used as the data base of the corresponding configuration processing in the next data receiving period, that is, the current reference information of the plurality of variable parameter data in the next data receiving period.
In step S220, if the server 200 detects that the current equipment data includes the reference information flag, the process proceeds directly to step S242, where the complete reference information in the current equipment data is directly acquired and stored in the database of the server 200 for the current device as the initial reference information in the database.
In addition, the server 200 can diagnose the load condition of the server 200 itself in real time according to the current network environment state (e.g., network fault, stability and strength of network signal, etc.), the number of the device 100 connected to the server 200, and the working state information of various databases inside the server 200 (e.g., whether the data receiving condition of various databases conforms to the corresponding data receiving period, whether the data receiving and updating conditions of various databases are normal, etc.), and perform scoring processing on the load condition to obtain the corresponding server load capacity information in real time. And when the server load capacity information reaches or exceeds a preset server overload threshold value, diagnosing that the server side is in an overload operation state. And when the server load capacity information does not reach the preset server overload threshold value, diagnosing that the server end is in a normal operation state. The server overload threshold is a score threshold for diagnosing whether the server is in an overload operation state in real time, and the actual numerical value of the score threshold is not particularly limited in the present invention.
Further, in the case where the server side 200 is operating in an overload state, the server side 200 generates a coordinated acquisition time interval for unifying the data acquisition frequencies of all the equipment sides 100. Then, the current coordinated acquisition time interval is written into the server state information, and the current server state information is sent to the specified device 100. Therefore, after the server state information containing the coordinated acquisition time interval is received, the coordinated acquisition time interval is analyzed, and the acquisition frequency of the equipment acquisition data is uniformly adjusted according to the frequency corresponding to the time interval. Here, all the device terminals 100 or the designated device terminal 100 referred to herein refer to all the device terminals 100 that have established a communication session task with the server terminal 200.
The invention provides a transmission method and a collection and processing method for industrial equipment remote data. The method only needs to combine the parameters of the real-time equipment state data acquired by the equipment end with the changed equipment state data of the last acquisition period and the changed values or states thereof into changed parameter data for transmission, and simultaneously transmit a plurality of changed parameter data obtained in a plurality of periods to the server after packaging and lossless compression. Therefore, the integrity of the data is guaranteed and the data volume is greatly reduced by only transmitting the differential data, and the lossless compression effect is better by the packaging processing. In addition, the invention integrates the strategy of data acquisition frequency adjustment, reduces the operating pressure for the server under the condition of ensuring continuous and complete data transmission, thereby realizing the data acquisition and transmission mode with multiple data and high acquisition frequency.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Although the embodiments of the present invention have been described above, the above descriptions are only for the convenience of understanding the present invention, and are not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (9)

1. A method for transmission of industrial equipment remote data, comprising:
step one, according to a preset data acquisition time interval, acquiring, by an equipment end, equipment state data of real-time monitoring information, which is obtained in a current acquisition cycle and includes all parameters that the equipment end needs to transmit to a server end, wherein the equipment state data includes:
detecting the current equipment state data and diagnosing the current working state of the equipment;
receiving and analyzing server state information, and judging whether a coordination acquisition time interval representing the overload operation of the current server is extracted from the server state information;
automatically adjusting the data acquisition time interval according to the working state diagnosis result and the coordinated acquisition time interval extraction result, wherein,
when the current equipment is in a non-construction state, setting the current data acquisition time interval as a preset shutdown state data acquisition time interval, wherein the shutdown state data acquisition time interval is greater than the data acquisition time interval;
when the current equipment is in a working state, if a coordination acquisition time interval representing the overload operation of the current server is extracted from the server state information, setting the data acquisition time interval of the current equipment end as the coordination acquisition time interval, and if the coordination acquisition time interval is not extracted from the server state information, continuing to acquire equipment state data according to the original data acquisition frequency;
secondly, the equipment terminal compares the real-time monitoring information of each parameter in the current equipment state data with the corresponding parameter in the reference information based on the current reference information, integrates the real-time monitoring information of the changed parameter to obtain the changed parameter data, and updates the current reference information by using the current changed parameter data, wherein the reference information is the equipment state data of the previous acquisition period;
step three, the equipment end carries out caching processing on the generated change parameter data in a preset data sending period comprising a plurality of data acquisition time intervals, and packs the plurality of cached change parameter data to obtain corresponding equipment data;
the equipment end performs lossless compression processing on the equipment data to obtain corresponding equipment transmission data, and when the equipment end and the server end successfully establish a communication session, the equipment end sends the equipment transmission data to the server end;
step five, the server receives the equipment transmission data and decompresses the equipment transmission data to obtain corresponding equipment data;
step six, the server side analyzes the equipment data, judges the equipment side to which the equipment data belongs, and detects whether the current equipment data contains a reference information mark;
when the equipment data do not contain the reference information marks, the server splits the equipment data according to the number of data acquisition time intervals included in a preset data receiving period aiming at the equipment end to obtain a plurality of variable parameter data matched with the current number;
step eight, the server identifies the acquisition time of the change parameter data, and on the basis of the acquisition time, the server correspondingly configures each change parameter data to the current reference information by using the current reference information in the current equipment database to obtain all the equipment state data acquired for the equipment in the data receiving period;
step nine, the server end determines the corresponding current reference information in the database of the current device end, wherein,
under the condition that the server side runs in an overload mode, generating a coordinated acquisition time interval for unifying the data acquisition frequency of all the equipment sides establishing communication sessions with the server side;
and writing the coordinated acquisition time interval into server state information, and sending the current server state information to a specified equipment terminal.
2. The transmission method according to claim 1, further comprising, before the step one:
when the communication session is successfully established between the equipment end and the server end, acquiring the equipment state data acquired when the communication session is successfully established, marking the equipment state data with reference information to obtain complete reference information, and taking the current equipment state data as the initial reference information of the equipment end;
and taking the complete reference information aiming at the equipment end as the current equipment data, converting the complete reference information into the equipment transmission data and transmitting the equipment transmission data to the server end.
3. The transmission method according to claim 1, wherein in the fourth step, the equipment data is compressed by using a GZIP method, so as to obtain the corresponding equipment transmission data.
4. The transmission method according to claim 2,
under the condition that the establishment of a communication link between the equipment end and the server end is completed, acquiring user identity information of the equipment end, and sending the user identity information to the server end;
and when a communication session instruction sent from the server is received within a preset communication session time threshold, the equipment end and the server successfully establish a communication session.
5. The transmission method according to any one of claims 1 to 4, wherein the fourth step further includes clearing a counter for recording the number of the buffered data of the change parameter in the same data transmission period and a buffer memory for storing a buffer variable generated in the buffer processing.
6. The transmission method according to claim 1, wherein when it is detected that the reference information flag is included in the current equipment data, the complete reference information in the equipment data is obtained and stored in the current device-side database as the initial reference information in the database.
7. The transmission method according to claim 1, wherein in the step of identifying the collection time of the variation parameter data, and based on this, using current reference information in a current device side database to configure each variation parameter data correspondingly to the current reference information, and obtaining all the device state data acquired for the device side in the current data reception cycle, the method further comprises:
and correspondingly configuring the change parameter data with the farthest acquisition time into the current reference information in the current equipment-side database one by one according to the sequence of the acquisition times of the change parameter data, and taking the obtained new equipment state data aiming at the current acquisition time as the current reference information in the next configuration processing until obtaining the equipment state data with the latest acquisition time and taking the equipment state data as the current reference information of the plurality of change parameter data in the next data receiving period.
8. The transmission method according to claim 1,
acquiring user identity information sent from the equipment terminal under the condition that a communication link is established between the equipment terminal and the server terminal, and carrying out validity diagnosis on the user identity information by utilizing a user identity database, wherein,
and if the communication session command is valid, generating a communication session command and sending the communication session command to the corresponding equipment end, so that the equipment end and the server end successfully establish the communication session.
9. A transmission system for industrial equipment remote data, the transmission system comprising:
the device comprises a device end device and a server end device, wherein the device end device is used for acquiring device state data of real-time monitoring information, which is acquired in a current acquisition cycle and comprises all parameters required to be transmitted to the server end by a device end, on the basis of current reference information, comparing the real-time monitoring information of each parameter in the current device state data with corresponding parameters in the reference information, integrating the real-time monitoring information of changed parameters to acquire changed parameter data, updating the current reference information by using the current changed parameter data, caching the generated changed parameter data in a preset data transmission cycle comprising a plurality of data acquisition time intervals, and packaging the cached changed parameter data to acquire corresponding device data; and finally, carrying out lossless compression processing on the equipment data to obtain corresponding equipment transmission data, and when a communication session is successfully established between an equipment end and the server end, sending the equipment transmission data to the server end by the equipment end, wherein the reference information is the equipment state data of the previous acquisition period, and when the equipment state data obtained in the current acquisition period is obtained, the method comprises the following steps:
detecting the current equipment state data and diagnosing the current working state of the equipment;
receiving and analyzing server state information, and judging whether a coordination acquisition time interval representing the overload operation of the current server is extracted from the server state information;
automatically adjusting the data acquisition time interval according to the working state diagnosis result and the coordinated acquisition time interval extraction result, wherein,
when the current equipment is in a non-construction state, setting the current data acquisition time interval as a preset shutdown state data acquisition time interval, wherein the shutdown state data acquisition time interval is greater than the data acquisition time interval;
when the current equipment is in a working state, if a coordination acquisition time interval representing the overload operation of the current server is extracted from the server state information, setting the data acquisition time interval of the current equipment end as the coordination acquisition time interval, and if the coordination acquisition time interval is not extracted from the server state information, continuing to acquire equipment state data according to the original data acquisition frequency; and
a server device, configured to receive equipment transmission data sent by the device, decompress the equipment transmission data to obtain corresponding equipment data, analyze the equipment data, determine an equipment terminal to which the equipment data belongs, detect whether the current equipment data contains a reference information mark, split the equipment data according to a number of data acquisition time intervals included in a preset data reception period for the equipment terminal when it is determined that the equipment data does not contain the reference information mark, obtain a plurality of pieces of variation parameter data matching the current number, and identify acquisition time of the variation parameter data, based on which, each piece of variation parameter data is configured to the current reference information by using current reference information in a current equipment terminal database, and obtaining all the equipment state data acquired by the equipment terminal in the data receiving period, and finally determining the corresponding current reference information in the current equipment terminal database.
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