Remote pollution discharge monitoring data transmission method and system based on Internet of Things

Abstract

The invention discloses a pollution discharge remote monitoring data transmission method and system based on the Internet of Things, and belongs to the technical field of pollution discharge of the Internet of Things. On the basis of an automatic control system of a sewage treatment process flow, sewage treatment equipment is locally divided, distributed control stations and operation stations are constructed, and remote connection and communication protocol integration are realized through an integrated port and a protocol channel; constructing a local Internet of Things topological structure, traversing communication links, carrying out asynchronous recording, and generating an asynchronous carrier; tracking a communication link in a protocol channel, generating a real-time resource distribution set, and converting the real-time resource distribution set into a distributed transmission real-time behavior matrix of pollution discharge data; and based on the matrix, analyzing and calculating the distributed transmission relevancy between the protocol channels, and when a disaster recovery event occurs, automatically selecting the protocol channel with the maximum relevancy as a preferable substitute. According to the invention, the data transmission real-time performance and accuracy of pollution discharge remote monitoring can be improved, and the problem of protocol channel disaster tolerance can be solved in a targeted manner.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things sewage discharge, and specifically to a method and system for remote monitoring data transmission of sewage discharge based on the Internet of Things. Background Technique

[0002] With the acceleration of the urbanization process and the expansion of industrial production scale, sewage treatment has become an important topic in the field of environmental protection. In order to achieve real-time monitoring and efficient management of the sewage treatment process, the remote monitoring technology of sewage discharge based on the Internet of Things has emerged as the times require; however, there are many deficiencies in the traditional remote monitoring data transmission method of sewage discharge, such as low data transmission efficiency, low data transmission reliability, and lack of effective alternative solutions in the face of disaster recovery events.

[0003] In the existing remote monitoring system of sewage discharge, due to the distributed characteristics of sewage treatment equipment and the diversity of communication protocols, problems such as delay and packet loss are likely to occur during the data transmission process, affecting the real-time and accuracy of monitoring; in addition, the existing technology usually adopts a centralized data transmission method, that is, all data is transmitted through a single communication link or server. This method not only easily leads to data transmission bottlenecks and affects data transmission efficiency, but also in the face of disaster recovery events such as network failures or equipment failures, the entire system may fall into a paralyzed state and cannot continue to work properly. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for remote monitoring data transmission of sewage discharge based on the Internet of Things to solve the problems raised in the above background technique.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: A remote monitoring data transmission system for sewage discharge based on the Internet of Things, which includes: a remote configuration module, an Internet of Things topology processing module, a sewage discharge data asynchronous processing module, and a distributed transmission behavior analysis module; The remote configuration module, based on the automatic control system of the sewage treatment process flow, divides the sewage treatment equipment into local areas to obtain distributed control stations and operation stations. Ports are integrated in the control stations, and the ports are remotely connected to the sewage treatment equipment through communication protocols. Protocol channels are built in the operation stations for integrating communication protocols; The Internet of Things topology processing module is used to construct a local Internet of Things topology structure between the control stations and the operation stations, and traverse the communication links in the local Internet of Things topology structure. The ports are carried in the communication links; based on the globally distributed time segment sequence, the communication links are asynchronously recorded to generate an asynchronous carrier; The sewage discharge data asynchronous processing module tracks the communication links in the protocol channels based on the time segment sequence to generate a real-time resource distribution set, and converts the real-time resource distribution set into a distributed transmission real-time behavior matrix of the sewage discharge data; The distributed transmission behavior analysis module analyzes and calculates the distributed transmission correlation degree between protocol channels based on the distributed transmission real-time behavior matrix. When a disaster tolerance event occurs in a protocol channel, it automatically selects the protocol channel corresponding to the maximum value of the distributed transmission correlation degree as the preferred alternative protocol channel.

[0006] Furthermore, the remote configuration module includes a protocol channel configuration unit and a local area division unit; The protocol channel configuration unit is used to configure a number of distributed protocol channels. The protocol channels are used to integrate several communication protocols, and one communication protocol is used to implement one port interaction function. The port is connected to the sewage treatment equipment; The local area division unit divides the sewage treatment equipment based on the automatic control system of the sewage treatment process flow. The local area includes distributed control stations and operation stations based on the automatic control system. The control stations integrate ports based on the interaction function to implement the control flow based on the sewage treatment process flow. The operation stations integrate protocol channels based on the communication protocol to implement the global distribution of the control flow instructions from the control stations.

[0007] Furthermore, the Internet of Things topology processing module includes a communication link identification unit and an asynchronous carrier recording unit; The communication link identification unit generates a local Internet of Things topology structure between the control station and the operation station based on the result of the local area division. The local Internet of Things topology structure includes several communication links, and the communication links carry several ports for implementing the interaction function; The asynchronous carrier recording unit is used to generate a time segment sequence of the global distribution of the control flow instructions during the communication process in an equally spaced arrangement, and each time segment is composed of two consecutive adjacent time nodes; based on the implementation process of the port interaction function, it makes an asynchronous record of the communication link in terms of time segments to generate an asynchronous carrier.

[0008] Furthermore, the sewage discharge data asynchronous processing module includes a real-time resource distribution processing unit and a distributed transmission real-time behavior processing unit; The real-time resource distribution processing unit is used to obtain all the communication links carried in the protocol channels in real time, and track the communication links in the protocol channels based on the time segment sequence to generate a real-time resource distribution set of the protocol channels; The distributed transmission real-time behavior processing unit establishes a distributed transmission real-time behavior matrix for sewage discharge data based on the real-time resource distribution set. The column numbers of the distributed transmission real-time behavior matrix are the numbers of communication links, and the row numbers are the serial numbers of time segments. The real-time resource distribution set is converted into the distributed transmission real-time behavior matrix.

[0009] Further, the distributed transmission behavior analysis module includes a distributed correlation analysis unit and a disaster recovery processing unit; The distributed correlation analysis unit analyzes and calculates the distributed transmission correlation degree between protocol channels based on the distributed transmission real-time behavior matrix; The disaster recovery processing unit is used to select the protocol channel corresponding to the maximum value of the distributed transmission correlation degree as the preferred alternative for the protocol channel where a disaster recovery event occurs when a disaster recovery event occurs in a protocol channel.

[0010] A method for remotely monitoring sewage discharge data transmission based on the Internet of Things, the method includes the following steps: Step S1: Based on the automatic control system of the sewage treatment process flow, the sewage treatment equipment is locally divided to obtain distributed control stations and operation stations. Ports are integrated in the control stations, and the ports are remotely connected to the sewage treatment equipment through communication protocols. The operation stations are built-in with protocol channels for integrating communication protocols; Step S2: Construct a local Internet of Things topology structure between the control station and the operation station, and traverse the communication links in the local Internet of Things topology structure. The communication links carry the ports; based on the globally distributed time segment sequence, the communication links are asynchronously recorded to generate an asynchronous carrier; Step S3: Based on the time segment sequence, track the communication links in the protocol channels to generate a real-time resource distribution set, and convert the real-time resource distribution set into a distributed transmission real-time behavior matrix for sewage discharge data; Step S4: Based on the distributed transmission real-time behavior matrix, analyze and calculate the distributed transmission correlation degree between protocol channels. When a disaster recovery event occurs in a protocol channel, automatically select the protocol channel corresponding to the maximum value of the distributed transmission correlation degree as the preferred alternative protocol channel.

[0011] Further, the specific implementation process of step S1 includes: Configure a number of distributed protocol channels. The protocol channels are used to integrate several communication protocols, and one communication protocol is used to implement one port interaction function. The ports are connected to the sewage treatment equipment; An automatic control system based on the sewage treatment process flow divides the sewage treatment equipment into local areas. The local areas include distributed control stations and operation stations based on the automatic control system. The control stations are integrated with ports based on interactive functions to implement the control flow based on the sewage treatment process flow. The operation stations are integrated with protocol channels based on communication protocols to implement the global distribution of control flow instructions from the control stations.

[0012] Further, the specific implementation process of step S2 includes: Based on the result of the local area division, a local Internet of Things topology structure between the control station and the operation station is generated. The local Internet of Things topology structure includes several communication links, and several ports for implementing interactive functions are carried on the communication links; In an equally spaced arrangement, a time segment sequence for the global distribution of control flow instructions during the communication process is generated, and each time segment is composed of two consecutive adjacent time nodes; based on the implementation process of the port interactive function, the communication links are asynchronously recorded in terms of time segments, and any i-th communication link is denoted as and The asynchronous carrier of the communication link is denoted as where represents the e-th port, represents the f-th control station, represents the x-th time segment, and E, F, and K respectively represent the total numbers of ports, control stations, and time segments in sequence.

[0013] Further, the specific implementation process of step S3 includes: The g-th protocol channel is denoted as , and all the communication links carried in the protocol channel are obtained in real time, and based on the time segment sequence, the communication links in the protocol channel are tracked to generate a real-time resource distribution set of the protocol channel , denoted as . If it is tracked that the protocol channel carries the communication link , and the time segment is recorded in the asynchronous carrier , then the communication link is stored in the subset of the real-time resource distribution set ; Based on the real-time resource distribution set, a distributed transmission real-time behavior matrix of sewage discharge data is established. The column number of the distributed transmission real-time behavior matrix is the number of the communication link, and the row number of the distributed transmission real-time behavior matrix is the serial number of the time segment. The matrix element at the x-th row and i-th column of the distributed transmission real-time behavior matrix is denoted as ; Map a subset of the real-time resource distribution set to the x-th row of the distributed transmission real-time behavior matrix. If there is a communication link in the subset , then set the matrix element . If there is no communication link in the subset , then set the matrix element . Obtain the transformed distributed transmission real-time behavior matrix of the real-time resource distribution set . .

[0014] Further, the specific implementation process of step S4 includes: Analyze and calculate the distributed transmission correlation between protocol channels based on the distributed transmission real-time behavior matrix , where represents the q-th protocol channel and g≠q, represents the protocol channel corresponding transformed distributed transmission real-time behavior matrix, represents the distributed transmission real-time behavior matrix and the distributed transmission real-time behavior matrix The number of 1s contained in the matrix obtained by matrix logical AND operation between them, and , , V represents the protocol channel set, which is used to accommodate all configured protocol channels; In the above method, the communication protocol can be integrated into different protocol channels through ports to achieve conversion and interoperability between different protocols at the hardware or software level; at the hardware level, a dedicated communication module or gateway device is used to achieve the conversion between different protocols, so that the sewage treatment equipment has multiple communication ports and supports multiple communication protocols; at the software level, the conversion and interoperability between different protocols are achieved by writing dedicated communication programs or using existing communication libraries, supporting integration and invocation; the sewage treatment plant has a large spatial span and involves complex sewage treatment processes. When implementing the interaction function through the configuration of a local Internet of Things, both the request and response of instructions need to be planned by communication links. The distributed protocol channel is used to transmit distributed protocol data, and this channel ensures that the distributed protocol data can be reliably transmitted between different nodes, thus realizing communication and coordination between nodes. The data transmission behavior characteristics within a time segment reflect the protocol behavior of the local Internet of Things and also emphasize the interaction function behavior between sewage treatment devices. The quantification of the distributed transmission correlation can reflect the interaction relationship based on the communication protocol between various sewage treatment devices. The greater the distributed transmission correlation, the closer the occupancy behavior of the protocol channel, and thus it can be used as a backup protocol channel. Moreover, the high consistency of this correlation also reflects the behavioral consistency of the protocol interaction process. Therefore, the backup protocol channel can maximize the maintenance of the state or behavioral integrity of the original disaster-tolerant protocol channel; When the protocol channel suffers a disaster event, select the protocol channel corresponding to the maximum value of the distributed transmission correlation as the preferred alternative protocol channel for the protocol channel .

[0015] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In a method and system for remote monitoring data transmission of sewage discharge based on the Internet of Things provided by the present invention, based on an automatic control system for the sewage treatment process flow, the sewage treatment equipment is locally partitioned, a distributed control station and operation station are constructed, and remote connection and communication protocol integration are achieved through integrated ports and protocol channels; a local Internet of Things topology structure is constructed, the communication links are traversed and asynchronously recorded to generate an asynchronous carrier; the communication links in the protocol channel are tracked to generate a real-time resource distribution set, which is then converted into a distributed transmission real-time behavior matrix of sewage discharge data; based on this matrix, the distributed transmission correlation between protocol channels is analyzed and calculated. When a disaster event occurs, the protocol channel with the maximum correlation is automatically selected as the preferred alternative. The present invention can improve the real-time performance and accuracy of data transmission for remote monitoring of sewage discharge, and can specifically solve the problem of protocol channel disaster tolerance. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and form a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention.

[0017] Figure 1 It is a schematic diagram of the steps of a method for remotely monitoring and transmitting sewage discharge data based on the Internet of Things according to the present invention. Detailed implementation manners

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0019] In the first embodiment: A sewage discharge remote monitoring data transmission system based on the Internet of Things is provided. The system includes: a remote configuration module, an Internet of Things topology processing module, a sewage discharge data asynchronous processing module, and a distributed transmission behavior analysis module; The remote configuration module in the field of Internet of Things sewage discharge technology divides the sewage treatment equipment into local areas based on the automatic control system of the sewage treatment process flow, obtaining distributed control stations and operation stations. Ports are integrated in the control stations, and the ports are remotely connected to the sewage treatment equipment through communication protocols. The operation stations are built-in with protocol channels for integrating communication protocols; Among them, the remote configuration module in the field of Internet of Things sewage discharge technology includes a protocol channel configuration unit and a local area division unit; The protocol channel configuration unit in the field of Internet of Things sewage discharge technology is used to configure a number of distributed protocol channels. The protocol channels in the field of Internet of Things sewage discharge technology are used to integrate several communication protocols, and one communication protocol is used to implement one port interaction function. The ports in the field of Internet of Things sewage discharge technology are connected to the sewage treatment equipment; The local area division unit in the field of Internet of Things sewage discharge technology divides the sewage treatment equipment into local areas based on the automatic control system of the sewage treatment process flow. The local areas in the field of Internet of Things sewage discharge technology include distributed control stations and operation stations based on the automatic control system. Ports based on interaction functions are integrated in the control stations in the field of Internet of Things sewage discharge technology to implement the control flow based on the sewage treatment process flow. Protocol channels based on communication protocols are integrated in the operation stations in the field of Internet of Things sewage discharge technology to implement the global distribution of control flow instructions based on the control stations.

[0020] In the field of Internet of Things (IoT) sewage discharge technology, an IoT topology processing module is used to construct a local IoT topology structure between a control station and an operation station, and traverse communication links in the local IoT topology structure. The communication links carry ports in the field of IoT sewage discharge technology; based on the globally distributed time segment sequence, asynchronously record the communication links in the field of IoT sewage discharge technology to generate an asynchronous carrier; Among them, the IoT topology processing module in the field of IoT sewage discharge technology includes a communication link identification unit and an asynchronous carrier recording unit; The communication link identification unit in the field of IoT sewage discharge technology generates a local IoT topology structure between the control station and the operation station based on the result of local division. The local IoT topology structure in the field of IoT sewage discharge technology includes several communication links, and several ports for realizing interactive functions are carried in the communication links in the field of IoT sewage discharge technology; The asynchronous carrier recording unit in the field of IoT sewage discharge technology is used to generate a globally distributed time segment sequence of control flow instructions during the communication process in an equally spaced arrangement, and each time segment is composed of two consecutive adjacent time nodes; based on the implementation process of the port interaction function, asynchronously record the communication links in the field of IoT sewage discharge technology in terms of time segments to generate an asynchronous carrier.

[0021] The sewage discharge data asynchronous processing module in the field of IoT sewage discharge technology tracks the communication links in the protocol channel based on the time segment sequence to generate a real-time resource distribution set, and converts the real-time resource distribution set in the field of IoT sewage discharge technology into a distributed transmission real-time behavior matrix of sewage discharge data; Among them, the sewage discharge data asynchronous processing module in the field of IoT sewage discharge technology includes a real-time resource distribution processing unit and a distributed transmission real-time behavior processing unit; The real-time resource distribution processing unit in the field of IoT sewage discharge technology is used to obtain all the communication links carried in the protocol channel in real time, and track the communication links in the protocol channel based on the time segment sequence to generate a real-time resource distribution set of the protocol channel; The distributed transmission real-time behavior processing unit in the field of IoT sewage discharge technology establishes a distributed transmission real-time behavior matrix of sewage discharge data based on the real-time resource distribution set. The column number of the distributed transmission real-time behavior matrix in the field of IoT sewage discharge technology is the number of the communication link, and the row number of the distributed transmission real-time behavior matrix in the field of IoT sewage discharge technology is the serial number of the time segment, and converts the real-time resource distribution set in the field of IoT sewage discharge technology into the distributed transmission real-time behavior matrix in the field of IoT sewage discharge technology.

[0022] In the field of Internet of Things sewage discharge technology, a distributed transmission behavior analysis module analyzes and calculates the distributed transmission correlation between protocol channels based on a real-time distributed transmission behavior matrix. When a disaster recovery event occurs in a protocol channel, it automatically selects the protocol channel corresponding to the maximum value of the distributed transmission correlation as the preferred alternative protocol channel; Among them, the distributed transmission behavior analysis module in the field of Internet of Things sewage discharge technology includes a distributed correlation analysis unit and a disaster recovery processing unit; The distributed correlation analysis unit in the field of Internet of Things sewage discharge technology analyzes and calculates the distributed transmission correlation between protocol channels based on a real-time distributed transmission behavior matrix; The disaster recovery processing unit in the field of Internet of Things sewage discharge technology is used to select the protocol channel corresponding to the maximum value of the distributed transmission correlation as the preferred alternative for the protocol channel where a disaster recovery event occurs when a disaster recovery event occurs in a protocol channel.

[0023] Please refer to Figure 1 , in the second embodiment: A remote monitoring data transmission method for sewage discharge based on the Internet of Things is provided and applied to the first embodiment above. The method includes the following steps: Step S1: Based on the automatic control system of the sewage treatment process flow, the sewage treatment equipment is locally divided to obtain distributed control stations and operation stations. Ports are integrated in the control stations, and the ports are remotely connected to the sewage treatment equipment through communication protocols. Protocol channels are built into the operation stations for integrating communication protocols; Exemplarily, a number of distributed protocol channels are configured. The protocol channels in the field of Internet of Things sewage discharge technology are used to integrate several communication protocols, and one communication protocol is used to implement one port interaction function. The ports in the field of Internet of Things sewage discharge technology are connected to the sewage treatment equipment; Based on the automatic control system of the sewage treatment process flow, the sewage treatment equipment is locally divided. The local area in the field of Internet of Things sewage discharge technology includes distributed control stations and operation stations based on the automatic control system. Ports based on interaction functions are integrated in the control stations in the field of Internet of Things sewage discharge technology to implement the control flow based on the sewage treatment process flow. Protocol channels based on communication protocols are integrated in the operation stations in the field of Internet of Things sewage discharge technology to implement the global distribution of control flow instructions based on the control stations.

[0024] Step S2: Build a local Internet of Things topology structure between the control station and the operation station, and traverse the communication links in the local Internet of Things topology structure. The communication links carry ports in the field of Internet of Things sewage discharge technology; Based on the time segment sequence of global distribution, the communication links in the field of Internet of Things sewage discharge technology are asynchronously recorded to generate an asynchronous carrier; Exemplarily, based on the result of local division, a local Internet of Things (IoT) topology structure between the control station and the operation station is generated. The local IoT topology structure in the field of IoT sewage disposal includes several communication links, and several ports for realizing interactive functions are carried on the communication links in the field of IoT sewage disposal; Generate a time segment sequence for the global distribution of control flow instructions during communication in an equally spaced arrangement, and each time segment is composed of two consecutive adjacent time nodes; Based on the implementation process of the port interaction function, asynchronously record the communication links in the field of IoT sewage disposal on the time segments, and denote any i-th communication link as and Denote the asynchronous carrier of the communication link as where represents the e-th port, represents the f-th control station, represents the x-th time segment, and E, F, and K respectively represent the total numbers of ports, control stations, and time segments in sequence.

[0025] Step S3: Based on the time segment sequence, track the communication links in the protocol channel to generate a real-time resource distribution set, and convert the real-time resource distribution set in the field of IoT sewage disposal into a distributed transmission real-time behavior matrix of sewage data; Exemplarily, denote the g-th protocol channel as Obtain all the communication links carried in the protocol channel in real time, and based on the time segment sequence, track the communication links in the protocol channel to generate a real-time resource distribution set of the protocol channel , denoted as . If it is tracked that the communication link is carried in the protocol channel , and the time segment is recorded in the asynchronous carrier , then deposit the communication link in the field of IoT sewage disposal into the subset of the real-time resource distribution set ; Based on the real-time resource distribution set, establish a distributed transmission real-time behavior matrix of sewage data. The column number of the distributed transmission real-time behavior matrix in the field of IoT sewage disposal is the number of the communication link, and the row number of the distributed transmission real-time behavior matrix in the field of IoT sewage disposal is the serial number of the time segment. Denote the matrix element in the x-th row and i-th column of the distributed transmission real-time behavior matrix in the field of IoT sewage disposal as ; Map the subset of the real-time resource distribution set to the x-th row of the distributed transmission real-time behavior matrix in the field of IoT sewage disposal. If the subset There is a communication link , then set the matrix element . If there is no communication link in the subset , , then set the matrix element , and obtain the real-time resource distribution set The transformed distributed transmission real-time behavior matrix .

[0026] Step S4: Based on the distributed transmission real-time behavior matrix, analyze and calculate the distributed transmission correlation between protocol channels. When a disaster tolerance event occurs in a protocol channel, automatically select the protocol channel corresponding to the maximum value of the distributed transmission correlation as the preferred alternative protocol channel; Exemplarily, based on the distributed transmission real-time behavior matrix, analyze and calculate the distributed transmission correlation between protocol channels , where represents the qth protocol channel and g≠q, represents the protocol channel corresponding to the transformed distributed transmission real-time behavior matrix, represents the distributed transmission real-time behavior matrix and the distributed transmission real-time behavior matrix is the number of 1s in the matrix obtained by performing a matrix logical AND operation between them, and , , V represents the protocol channel set, which is used to accommodate all configured protocol channels; When a disaster tolerance event occurs in the protocol channel , select the protocol channel corresponding to the maximum value of the distributed transmission correlation , as the preferred alternative protocol channel for the protocol channel .

[0027] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0028] ​Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for transmitting data for remote monitoring of sewage discharge based on the Internet of Things, characterized in that: The method comprises the following steps: Step S1: Based on the automatic control system of the sewage treatment process flow, the sewage treatment equipment is divided into local areas to obtain distributed control stations and operation stations. The control station is integrated with a port, and the port is remotely connected to the sewage treatment equipment through a communication protocol. The operation station has a built-in protocol channel for integrating the communication protocol; Step S2: constructing a local IoT topology structure between the control station and the operation station, and traversing the communication link in the local IoT topology structure, wherein the communication link carries the port; based on a globally distributed time segment sequence, asynchronously recording the communication link to generate an asynchronous carrier; Step S3: based on the time segment sequence, tracking the communication links in the protocol channel to generate a real-time resource distribution set, and converting the real-time resource distribution set into a distributed transmission real-time behavior matrix of the pollution data; Step S4: Based on the distributed transmission real-time behavior matrix, the distributed transmission correlation between the protocol channels is analyzed and calculated. When a disaster recovery event occurs in a protocol channel, the protocol channel corresponding to the maximum distributed transmission correlation is automatically selected as the preferred alternative protocol channel.

2. According to the method for transmitting data of sewage remote monitoring based on the Internet of Things in claim 1, it is characterized in that: The specific implementation process of step S1 includes: Configuring a plurality of distributed protocol channels, wherein the protocol channels are used to integrate a plurality of communication protocols, and one communication protocol is used to implement a port interaction function, wherein the port is connected to the sewage treatment equipment; Based on the automatic control system of the sewage treatment process flow, the sewage treatment equipment is divided into local areas. The local areas include distributed control stations and operation stations based on the automatic control system. The control station is integrated with ports based on interactive functions to realize the control flow based on the sewage treatment process flow. The operation station is integrated with a protocol channel based on a communication protocol to realize the global distribution of control flow instructions based on the control station.

3. The method for transmitting data of sewage remote monitoring based on the Internet of Things according to claim 2 is characterized in that: The specific implementation process of step S2 includes: Based on the result of the local area division, a local area Internet of Things topology structure between the control station and the operation station is generated, wherein the local area Internet of Things topology structure includes a plurality of communication links, and the communication links carry a plurality of ports for realizing interactive functions; A time segment sequence of global distribution of control flow instructions during communication is generated in an equally spaced arrangement, and each time segment consists of two consecutive adjacent time nodes; based on the implementation process of the port interaction function, the communication link is asynchronously recorded in time segments, and any i-th communication link is recorded as ,and , the communication link The asynchronous carrier is denoted as ,in, Indicates the e-th port, represents the fth control station, represents the xth time segment, and E, F and K represent the total number of ports, control stations and time segments respectively.

4. The method for transmitting data for remote monitoring of sewage discharge based on the Internet of Things according to claim 3 is characterized in that: The specific implementation process of step S3 includes: The gth protocol channel is denoted as , obtain all communication links carried in the protocol channel in real time, and track the protocol channel based on the time segment sequence The communication link in the protocol channel The real-time resource distribution set is denoted as , if the protocol channel is traced The communication link , and the asynchronous carrier Time segments are recorded in , then the communication link Save to real-time resource distribution set Subset of middle; Based on the real-time resource distribution set, a distributed transmission real-time behavior matrix of the pollution data is established. The column number of the distributed transmission real-time behavior matrix is ​​the number of the communication link, and the row number of the distributed transmission real-time behavior matrix is ​​the sequence number of the time segment. The matrix element of the xth row and the ith column of the distributed transmission real-time behavior matrix is ​​recorded as ; Distribute real-time resources into Subset of Mapped to the xth row of the distributed transmission real-time behavior matrix, if the subset There is a communication link , then let the matrix elements , if the subset No communication link exists , then let the matrix elements , get the real-time resource distribution set Transformed distributed transmission real-time behavior matrix .

5. The method for transmitting data for remote monitoring of sewage discharge based on the Internet of Things according to claim 4 is characterized in that: The specific implementation process of step S4 includes: Analyze and calculate the distributed transmission correlation between protocol channels based on the distributed transmission real-time behavior matrix , where represents the qth protocol channel and g≠q, Represents a protocol channel The corresponding transformed distributed transmission real-time behavior matrix, Represents the real-time behavior matrix of distributed transmission Real-time behavior matrix with distributed transmission The number of 1s in the matrix obtained by performing a matrix logical AND operation between , , V represents the protocol channel set, which is used to store all configured protocol channels; When the protocol channel When a disaster recovery event occurs, select the maximum value of the distributed transmission correlation Corresponding protocol channel , as a protocol channel Preferred alternative protocol channel.

6. A sewage remote monitoring data transmission system based on the Internet of Things, which executes a sewage remote monitoring data transmission method based on the Internet of Things as claimed in any one of claims 1 to 5, characterized in that: The system includes a remote configuration module, an Internet of Things topology processing module, a sewage data asynchronous processing module, and a distributed transmission behavior analysis module; The remote configuration module, based on the automatic control system of the sewage treatment process flow, divides the sewage treatment equipment into local areas to obtain distributed control stations and operation stations. The control station is integrated with a port, which is remotely connected to the sewage treatment equipment through a communication protocol. The operation station has a built-in protocol channel for integrating the communication protocol. The Internet of Things topology processing module is used to construct a local Internet of Things topology structure between the control station and the operation station, and traverse the communication link in the local Internet of Things topology structure, and the communication link carries the port; Asynchronously recording the communication link based on a globally distributed time segment sequence to generate an asynchronous bearer; The pollution data asynchronous processing module tracks the communication links in the protocol channel based on the time slice sequence to generate a real-time resource distribution set, and converts the real-time resource distribution set into a distributed transmission real-time behavior matrix of the pollution data; The distributed transmission behavior analysis module analyzes and calculates the distributed transmission correlation between protocol channels based on the distributed transmission real-time behavior matrix. When a disaster recovery event occurs in a protocol channel, the protocol channel corresponding to the maximum distributed transmission correlation is automatically selected as the preferred alternative protocol channel.

7. The remote monitoring and data transmission system for sewage discharge based on the Internet of Things according to claim 6 is characterized in that: The remote configuration module includes a protocol channel configuration unit and a local area division unit; The protocol channel configuration unit is used to configure a plurality of distributed protocol channels, wherein the protocol channels are used to integrate a plurality of communication protocols, and one communication protocol is used to implement a port interaction function, and the port is connected to the sewage treatment equipment; The local division unit divides the sewage treatment equipment into local areas based on the automatic control system of the sewage treatment process flow. The local area includes a distributed control station and an operation station based on the automatic control system. The control station is integrated with a port based on an interactive function for realizing a control flow based on the sewage treatment process flow. The operation station is integrated with a protocol channel based on a communication protocol for realizing the global distribution of control flow instructions based on the control station.

8. The remote monitoring and data transmission system for sewage discharge based on the Internet of Things according to claim 6 is characterized in that: The IoT topology processing module includes a communication link identification unit and an asynchronous carrier recording unit; The communication link identification unit generates a local Internet of Things topology structure between the control station and the operation station based on the result of the local area division, wherein the local Internet of Things topology structure includes a plurality of communication links, and the communication links carry a plurality of ports for realizing the interactive function; The asynchronous carrier recording unit is used to generate a time segment sequence for global distribution of control flow instructions during the communication process in an equally spaced arrangement, and each time segment is composed of two consecutive adjacent time nodes; based on the implementation process of the port interaction function, the communication link is asynchronously recorded in the time segment to generate an asynchronous carrier.

9. The remote monitoring data transmission system for sewage discharge based on the Internet of Things according to claim 6 is characterized in that: The sewage data asynchronous processing module includes a real-time resource distribution processing unit and a distributed transmission real-time behavior processing unit; The real-time resource distribution processing unit is used to obtain all communication links carried in the protocol channel in real time, and track the communication links in the protocol channel based on the time segment sequence to generate a real-time resource distribution set of the protocol channel; The distributed transmission real-time behavior processing unit establishes a distributed transmission real-time behavior matrix of pollution data based on the real-time resource distribution set, wherein the column number of the distributed transmission real-time behavior matrix is ​​the number of the communication link, and the row number of the distributed transmission real-time behavior matrix is ​​the sequence number of the time segment, and converts the real-time resource distribution set into the distributed transmission real-time behavior matrix.

10. The remote monitoring data transmission system for sewage discharge based on the Internet of Things according to claim 6 is characterized in that: The distributed transmission behavior analysis module includes a distributed correlation analysis unit and a disaster recovery processing unit; The distributed correlation analysis unit analyzes and calculates the distributed transmission correlation between the protocol channels based on the distributed transmission real-time behavior matrix; The disaster recovery processing unit is used to select the protocol channel corresponding to the maximum value of the distributed transmission correlation as a preferred replacement for the protocol channel where the disaster recovery event occurs when a disaster recovery event occurs in a protocol channel.

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