Industrial wastewater monitoring system based on Internet of Things

Abstract

The invention provides an industrial wastewater monitoring system based on Internet of Things, the system comprises a server, a plurality of monitoring terminals and a control terminal, and the system is configured as follows: the control terminal obtains first monitoring data based on the monitoring terminals in a first monitoring period, and uploads the first monitoring data to the server; the control terminal obtains first monitoring data from the server in a second monitoring period, obtains second monitoring data based on the monitoring terminal, and compares the first monitoring data with the second monitoring data to determine a first change parameter; the control terminal determines target data from a plurality of corresponding monitoring quantities in the server based on the change parameters, obtains third monitoring data in a third monitoring period based on the monitoring terminal of the target data, and uploads the third monitoring data to the server; and the control terminal compares the second monitoring data with the third monitoring data, determines a second change parameter according to a comparison result, and takes the second change parameter as the first change parameter.

Description

Technical Field

[0001] The present invention relates to the field of monitoring technology, and in particular to an industrial wastewater monitoring system based on the Internet of Things. Background Art

[0002] In the modern industrial production process, wastewater discharge is an inevitable problem, which puts higher requirements on the monitoring and treatment of industrial wastewater. Traditional wastewater monitoring methods mainly rely on manual sampling and laboratory analysis, which is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and rapid response.

[0003] In related technologies, advanced sensor technology and wireless communication technology are used to achieve real-time, continuous and automatic monitoring of industrial wastewater discharge. The system collects key parameters such as pH value, chemical oxygen demand (COD), biochemical oxygen demand (BOD), heavy metal content, etc. in wastewater in real time by installing a variety of sensors at key discharge points. The data collected by the sensors is transmitted to the central monitoring platform via a wireless network. The platform uses big data analysis and artificial intelligence algorithms to process and analyze the data, thereby achieving a comprehensive grasp of wastewater discharge. However, without combining the previously recorded data, the uniformity of the results is not high. At the same time, the monitoring terminal will have errors after multiple monitorings, so its life is short. Summary of the invention

[0004] The embodiment of the present invention provides an industrial wastewater monitoring system based on the Internet of Things to improve the above problems.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme:

[0006] In a first aspect, the present invention proposes an industrial wastewater monitoring method based on the Internet of Things, which is applicable to an industrial wastewater monitoring system based on the Internet of Things, the system comprising a server, a plurality of monitoring terminals and a control terminal, the method being applicable to the control terminal, comprising:

[0007] The control terminal acquires first monitoring data in a first monitoring period based on a first number of monitoring terminals, and uploads the first monitoring data to the server;

[0008] The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, and the first monitoring data and the second monitoring data are data representing the degree of pollution;

[0009] The control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a comparison result;

[0010] The control terminal determines, based on the first change parameter, that a second number of monitoring terminals acquire third monitoring data in a third detection cycle, and uploads the third monitoring data to the server;

[0011] The control terminal compares the second monitoring data with the third monitoring data, determines a second change parameter based on a result of the comparison, and uses the second change parameter as the first change parameter.

[0012] In combination with the first aspect, the control terminal determines the target data from a plurality of corresponding monitoring quantities in the server based on the first change parameter, and determines that the monitoring terminal based on the target data of the second quantity in the third detection period obtains the third monitoring data in the third monitoring period, and uploads the third monitoring data to the server, including:

[0013] If the first variation parameter is greater than a preset threshold, the second number is greater than the first number;

[0014] If the first variation parameter is smaller than the preset threshold, the second number is smaller than the first number.

[0015] In combination with the second aspect, the control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including:

[0016] The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including:

[0017] The control terminal performs a preliminary analysis on the first monitoring data to determine whether there is an abnormality;

[0018] If the control terminal finds an abnormality, the control terminal will immediately start the early warning mechanism and send the early warning information to the server.

[0019] In combination with the first aspect, the control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a result of the comparison, including:

[0020] Key indicators are obtained, including pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal will trigger an alarm and record the abnormal event.

[0021] In combination with the first aspect, key indicators are obtained, and the key indicators include pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal triggers an alarm and records an abnormal event, including:

[0022] The control terminal compares the first change parameter with a preset threshold value. If the first change parameter is greater than the preset threshold value, the control terminal automatically starts an emergency processing procedure.

[0023] In a second aspect, an embodiment of the present invention further proposes an industrial wastewater monitoring system based on the Internet of Things, the system comprising a server, a plurality of monitoring terminals and a control terminal, and the system is configured as follows:

[0024] The control terminal uploads the first monitoring data acquired by the monitoring terminal in the first monitoring period to the server;

[0025] The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period;

[0026] The control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a comparison result;

[0027] The control terminal determines target data from a plurality of corresponding monitoring quantities in the server based on the first change parameter, and the monitoring terminal based on the target data obtains third monitoring data in the third monitoring period, and uploads the third monitoring data to the server;

[0028] The control terminal compares the second monitoring data with the third monitoring data, determines a second change parameter based on a result of the comparison, and uses the second change parameter as the first change parameter.

[0029] In combination with the second aspect, the control terminal uploads the first monitoring data to the server based on the first monitoring data acquired by the monitoring terminal in the first monitoring period, including:

[0030] The control terminal performs preliminary processing on the collected raw data, and the preliminary processing process includes: filtering, denoising and data format conversion;

[0031] The control terminal encapsulates the raw data after the preliminary processing based on the target protocol to form encapsulated data, and sends the encapsulated data to the server;

[0032] The server decodes the encapsulated data according to the target protocol.

[0033] In combination with the second aspect, the control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including:

[0034] The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including:

[0035] The control terminal performs a preliminary analysis on the first monitoring data to determine whether there is an abnormality;

[0036] If the control terminal finds an abnormality, the control terminal will immediately start the early warning mechanism and send the early warning information to the server.

[0037] In combination with the second aspect, the control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a result of the comparison, including:

[0038] Key indicators are obtained, including pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal will trigger an alarm and record the abnormal event.

[0039] In combination with the second aspect, key indicators are obtained, and the key indicators include pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal triggers an alarm and records an abnormal event, including:

[0040] The control terminal compares the first change parameter with a preset threshold value. If the first change parameter is greater than the preset threshold value, the control terminal automatically starts an emergency processing procedure.

[0041] In conjunction with the second aspect, the system is configured to:

[0042] The control terminal also includes a user interface, and the user interface is used to display the key indicator and the first change parameter in real time.

[0043] In combination with the second aspect, the system further includes a data storage module, and the system is configured as follows:

[0044] The data storage module stores all the key indicators, change parameters, system settings and user operation records.

[0045] A third aspect of an embodiment of the present invention provides an electronic device, the electronic device comprising:

[0046] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method proposed in the first aspect of the embodiment of the present invention.

[0047] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method provided in the first aspect of the embodiment of the present invention.

[0048] In summary, the above method and device have the following technical effects:

[0049] An industrial wastewater monitoring method based on the Internet of Things proposed in an embodiment of the present invention comprises: first, the control terminal obtains first monitoring data based on the first monitoring data obtained by the monitoring terminal in the first monitoring period, and uploads the first monitoring data to the server; then, the control terminal obtains the first monitoring data from the server in the second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period; then, the control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to the comparison result; then, the control terminal determines target data from a plurality of corresponding monitoring quantities in the server based on the first change parameter, and the monitoring terminal obtains third monitoring data in the third monitoring period based on the target data, and uploads the third monitoring data to the server; finally, the control terminal compares the second monitoring data with the third monitoring data, and determines the second change parameter according to the comparison result, and uses it as the first change parameter. An industrial wastewater monitoring method based on the Internet of Things proposed in an embodiment of the present invention compares detection data in multiple cycles and enables different detection terminals in different cycles according to the degree of pollution change. This can improve detection accuracy when the pollution is serious and increase the life of the monitoring terminal when the pollution is light. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A schematic flow chart of an industrial wastewater monitoring method based on the Internet of Things proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] See also Figure 1 The embodiment of the present invention proposes an industrial wastewater monitoring method based on the Internet of Things, which is applicable to an industrial wastewater monitoring system based on the Internet of Things. The system includes a server, multiple monitoring terminals and a control terminal. The method is applicable to the control terminal and includes the following steps:

[0053] S101: The control terminal acquires first monitoring data in a first monitoring period based on a first number of monitoring terminals, and uploads the first monitoring data to the server.

[0054] It is understandable that after receiving the first monitoring data collected by the monitoring terminal in the first monitoring cycle, the control terminal will perform corresponding processing and analysis based on these data. Subsequently, the control terminal will upload these processed first monitoring data to the cloud server for further storage, analysis and decision support. This process ensures the real-time and accuracy of the data, and provides strong support for the efficient operation of the entire system.

[0055] In this step, the number of enabled monitoring terminals is detected to be the first number.

[0056] Specifically, in this embodiment, first, the control terminal performs preliminary processing on the collected raw data, and the preliminary processing process includes: filtering, denoising and data format conversion. Then, the control terminal encapsulates the raw data after the preliminary processing based on the target protocol to form encapsulated data, and sends the encapsulated data to the server. Finally, the server decodes the encapsulated data according to the target protocol.

[0057] In some embodiments, the control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including: the control terminal performs a preliminary analysis on the first monitoring data to determine whether there is an abnormality. If the control terminal finds an abnormality, the control terminal will immediately activate the early warning mechanism and send the early warning information to the server.

[0058] It is understandable that the control terminal will conduct a detailed preliminary analysis of the first monitoring data to determine whether there are any abnormal conditions. If the control terminal detects an abnormal condition, the control terminal will quickly activate the early warning mechanism and immediately send the early warning information to the server.

[0059] S102: The control terminal obtains first monitoring data from the server in a second monitoring period, and obtains second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period.

[0060] It can be understood that in this system, the control terminal will obtain the first monitoring data from the server in the second monitoring cycle. This process is carried out after the first monitoring cycle is completed, ensuring the continuity and integrity of the data. At the same time, the control terminal will also obtain the second monitoring data based on the monitoring terminal. This data acquisition process is carried out synchronously, ensuring the real-time and accuracy of the data. In this way, the system can effectively collect and analyze the monitoring data in two consecutive cycles, providing a reliable basis for subsequent data processing and decision-making.

[0061] S103: The control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a comparison result.

[0062] It is understandable that the control terminal will perform a detailed comparison and analysis on the first monitoring data and the second monitoring data. Through this comparison, the control terminal can identify the difference and change trend between the two. Based on these comparison results, the control terminal will further calculate and determine a key first change parameter. This parameter reflects the change of the monitoring data at different time points, thereby providing an important basis for subsequent decision-making and adjustment.

[0063] In some implementations, the control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a result of the comparison, including:

[0064] Key indicators are obtained, including pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal will trigger an alarm and record the abnormal event.

[0065] Understandably, in order to ensure the accuracy and timeliness of water quality monitoring, we need to obtain a series of key indicator data. These key indicators include pH, temperature, turbidity, chemical oxygen demand (COD) and biochemical oxygen demand (BOD). Through the continuous monitoring of these key indicators, we can fully understand the water quality. Specifically, pH reflects the acidity and alkalinity of water, temperature affects the chemical reaction rate in water, turbidity indicates the content of suspended particles in water, and COD and BOD represent the chemical oxygen demand and biochemical oxygen demand of organic pollutants in water, respectively.

[0066] After obtaining these key indicator data, we will conduct detailed analysis and comparison. Specifically, we will compare the first monitoring data with the second monitoring data. The first monitoring data refers to the water quality data collected at a specific time point or time period, while the second monitoring data refers to the water quality data collected at another time point or time period. By comparing these two sets of data, we can find out whether there are any abnormalities.

[0067] When there is a significant difference between the first monitoring data and the second monitoring data in any key indicator, the control terminal will immediately trigger the alarm system. The triggering of the alarm means that the system has detected a potential water quality problem and immediate measures need to be taken. At the same time, the control terminal will also record the detailed information of this abnormal event, including the time and location of the abnormality, the specific difference values ​​of key indicators, and possible cause analysis. These records will provide an important reference for subsequent water quality management and improvement. In this way, we can ensure the timeliness and accuracy of water quality monitoring, thereby ensuring public water safety.

[0068] S104: The control terminal determines, based on the first change parameter, that a second number of monitoring terminals obtain third monitoring data in a third detection cycle, and uploads the third monitoring data to the server;.

[0069] It can be understood that, in the control terminal, according to the specific conditions of the change parameters, the target data is accurately identified and determined from the multiple corresponding monitoring quantities stored in the server. Subsequently, based on these target data, the control terminal will instruct the corresponding monitoring terminal to collect data in the third monitoring cycle. After the collection is completed, the monitoring terminal will upload the acquired third monitoring data to the server for further analysis and processing.

[0070] Specifically, if the first change parameter is greater than a preset threshold, the second number is greater than the first number; if the first change parameter is less than the preset threshold, the second number is less than the first number.

[0071] Specifically, in this embodiment, in the third cycle, when the first change parameter increases, that is, the pollution becomes serious, correspondingly, the number of monitoring terminals enabled in the third cycle is more, and the detection accuracy is improved. Correspondingly, when the first change parameter decreases, that is, the pollution is reduced, the number of monitoring terminals enabled in the third cycle is reduced, and the life of the detection terminal is improved.

[0072] S105: The control terminal compares the second monitoring data with the third monitoring data, determines a second change parameter based on a result of the comparison, and uses the second change parameter as the first change parameter.

[0073] It is understandable that the control terminal will perform a detailed comparative analysis of the second monitoring data and the third monitoring data. By carefully analyzing the differences and similarities between the two sets of data, the control terminal can draw an accurate conclusion. Based on this comparison result, the control terminal will further determine a second change parameter. This second change parameter is obtained based on the comparative analysis of the two sets of monitoring data and has important reference value. Subsequently, the control terminal will use this second change parameter as a new first change parameter for subsequent processing and decision-making.

[0074] In some implementations, the control terminal further includes a user interface, and the user interface is used to display the key indicator and the first change parameter in real time.

[0075] It is understandable that the control terminal is further equipped with a user interface, the main function of which is to display and present key indicators and change parameters in real time. Through this user interface, the user can clearly see the current value of each key indicator and their changes over time. In addition, the change parameters will also be displayed on the same interface to help users better understand the specific reasons and trends of these indicator changes. Such a design not only improves the transparency of information, but also enables users to monitor and analyze the operating status of the system more intuitively, so as to make more accurate and timely decisions. In some embodiments, a storage module data storage module can also be used to store all the key indicators, change parameters, system settings and user operation records.

[0076] An industrial wastewater monitoring method based on the Internet of Things is proposed in an embodiment of the present invention. First, the control terminal obtains the first monitoring data based on the first monitoring data obtained by the monitoring terminal in the first monitoring period and uploads the first monitoring data to the server. Then, the control terminal obtains the first monitoring data from the server in the second monitoring period and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period. Then, the control terminal compares the first monitoring data with the second monitoring data, and determines the first change parameter according to the comparison result. Then, the control terminal determines the target data from a plurality of corresponding monitoring quantities in the server based on the first change parameter, and the monitoring terminal obtains the third monitoring data based on the target data in the third monitoring period, and uploads the third monitoring data to the server. Finally, the control terminal compares the second monitoring data with the third monitoring data, and determines the second change parameter according to the comparison result, and uses it as the first change parameter. Different detection terminals are enabled in different periods according to the degree of pollution change, so that the detection accuracy can be improved when the pollution is serious, and the life of the monitoring terminal can be improved when the pollution is light. The present invention

[0077] Based on the same inventive concept, in a second aspect, an embodiment of the present invention further proposes an industrial wastewater monitoring system based on the Internet of Things, the system comprising a server, a plurality of monitoring terminals and a control terminal, and the system is configured as follows:

[0078] The control terminal uploads the first monitoring data acquired by the monitoring terminal in the first monitoring period to the server;

[0079] The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period;

[0080] The control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a comparison result;

[0081] The control terminal determines target data from a plurality of corresponding monitoring quantities in the server based on the first change parameter, and the monitoring terminal based on the target data obtains third monitoring data in the third monitoring period, and uploads the third monitoring data to the server;

[0082] The control terminal compares the second monitoring data with the third monitoring data, determines a second change parameter based on a result of the comparison, and uses the second change parameter as the first change parameter.

[0083] In combination with the second aspect, the control terminal uploads the first monitoring data to the server based on the first monitoring data acquired by the monitoring terminal in the first monitoring period, including:

[0084] The control terminal performs preliminary processing on the collected raw data, and the preliminary processing process includes: filtering, denoising and data format conversion;

[0085] The control terminal encapsulates the raw data after the preliminary processing based on the target protocol to form encapsulated data, and sends the encapsulated data to the server;

[0086] The server decodes the encapsulated data according to the target protocol.

[0087] In combination with the second aspect, the control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including:

[0088] The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including:

[0089] The control terminal performs a preliminary analysis on the first monitoring data to determine whether there is an abnormality;

[0090] If the control terminal finds an abnormality, the control terminal will immediately start the early warning mechanism and send the early warning information to the server.

[0091] In combination with the second aspect, the control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a result of the comparison, including:

[0092] Key indicators are obtained, including pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal will trigger an alarm and record the abnormal event.

[0093] In combination with the second aspect, key indicators are obtained, and the key indicators include pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal triggers an alarm and records an abnormal event, including:

[0094] The control terminal compares the first change parameter with a preset threshold value. If the first change parameter is greater than the preset threshold value, the control terminal automatically starts an emergency processing procedure.

[0095] In conjunction with the second aspect, the system is configured to:

[0096] The control terminal also includes a user interface, and the user interface is used to display the key indicator and the first change parameter in real time.

[0097] An embodiment of the present invention proposes an industrial wastewater monitoring system based on the Internet of Things. First, the control terminal obtains the first monitoring data based on the first monitoring data obtained by the monitoring terminal in the first monitoring period and uploads the first monitoring data to the server. Then, the control terminal obtains the first monitoring data from the server in the second monitoring period and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period. Then, the control terminal compares the first monitoring data with the second monitoring data, and determines the first change parameter according to the comparison result. Then, the control terminal determines the target data from a plurality of corresponding monitoring quantities in the server based on the first change parameter, and the monitoring terminal obtains the third monitoring data in the third monitoring period based on the target data, and uploads the third monitoring data to the server. Finally, the control terminal compares the second monitoring data with the third monitoring data, and determines the second change parameter according to the comparison result, and uses it as the first change parameter. Different detection terminals are enabled in different periods according to the degree of pollution change, so that the detection accuracy can be improved when the pollution is serious, and the life of the monitoring terminal can be improved when the pollution is light. The present invention

[0098] Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0099] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the industrial wastewater monitoring method based on the Internet of Things according to an embodiment of the present invention.

[0100] In addition, to achieve the above-mentioned purpose, an embodiment of the present invention further proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the industrial wastewater monitoring method based on the Internet of Things of an embodiment of the present invention.

[0101] The following is a detailed introduction to the various components of electronic equipment:

[0102] The processor is the control center of the electronic device, which can be a processor or a general term for multiple processing elements. For example, the processor is one or more central processing units (CPUs), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, such as one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (FPGAs).

[0103] Optionally, the processor can perform various functions of the electronic device by running or executing a software program stored in the memory, and calling data stored in the memory.

[0104] The memory is used to store the software program for executing the solution of the present invention, and the execution is controlled by the processor. The specific implementation method can refer to the above method embodiment, which will not be repeated here.

[0105] Optionally, the memory may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be integrated with the processor, or may exist independently and be coupled to the processor through an interface circuit of the electronic device, which is not specifically limited in the embodiments of the present invention.

[0106] A transceiver is used to communicate with a network device or a terminal device.

[0107] Optionally, the transceiver may include a receiver and a transmitter, wherein the receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0108] Optionally, the transceiver may be integrated with the processor, or may exist independently and be coupled to the processor via an interface circuit of the router, which is not specifically limited in the embodiment of the present invention.

[0109] In addition, the technical effects of the electronic device can refer to the technical effects of the data transmission method described in the above method embodiment, and will not be repeated here.

[0110] It should be understood that the processor in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0111] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0112] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0113] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0114] In the present invention, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0115] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0116] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

Claims

1. An industrial wastewater monitoring system based on the Internet of Things, characterized in that: The system includes a server, multiple monitoring terminals and a control terminal, and the system is configured as follows: The control terminal acquires first monitoring data in a first monitoring period based on a first number of monitoring terminals, and uploads the first monitoring data to the server; The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, and the first monitoring data and the second monitoring data are data representing the degree of pollution; The control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a comparison result; The control terminal determines, based on the first change parameter, that a second number of monitoring terminals acquire third monitoring data in a third detection cycle, and uploads the third monitoring data to the server; The control terminal compares the second monitoring data with the third monitoring data, determines a second change parameter based on a result of the comparison, and uses the second change parameter as a new first change parameter to regulate subsequent monitoring cycles.

2. The industrial wastewater monitoring system based on the Internet of Things according to claim 1 is characterized in that: The system includes a server, multiple monitoring terminals and a control terminal, and the system is configured as follows: The control terminal determines, based on the first change parameter, that a second number of monitoring terminals obtain third monitoring data in a third detection period, and uploads the third monitoring data to the server, including: If the first variation parameter is greater than a preset threshold, the second number is greater than the first number; If the first variation parameter is smaller than the preset threshold, the second number is smaller than the first number.

3. The industrial wastewater monitoring system based on the Internet of Things according to claim 1 is characterized in that: The control terminal uploads the first monitoring data acquired by the monitoring terminal in the first monitoring period to the server, including: The control terminal performs preliminary processing on the collected raw data, and the preliminary processing process includes: filtering, denoising and data format conversion; The control terminal encapsulates the raw data after the preliminary processing based on the target protocol to form encapsulated data, and sends the encapsulated data to the server; The server decodes the encapsulated data according to the target protocol.

4. The industrial wastewater monitoring system based on the Internet of Things according to claim 3 is characterized in that: The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period, including: The control terminal performs a preliminary analysis on the first monitoring data to determine whether there is an abnormality; If the control terminal finds an abnormality, the control terminal will immediately start the early warning mechanism and send the early warning information to the server.

5. The industrial wastewater monitoring system based on the Internet of Things according to claim 4 is characterized in that: The control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a comparison result, including: Key indicators are obtained, including pH value, temperature, turbidity, chemical oxygen demand, and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal will trigger an alarm and record the abnormal event.

6. The industrial wastewater monitoring system based on the Internet of Things according to claim 5 is characterized in that: Acquire key indicators, the key indicators including pH value, temperature, turbidity, chemical oxygen demand and biochemical oxygen demand. When the first monitoring data and the second monitoring data differ in any of the key indicators, the control terminal will trigger an alarm and record an abnormal event, including: The control terminal compares the first change parameter with a preset threshold value. If the first change parameter is greater than the preset threshold value, the control terminal automatically starts an emergency processing procedure.

7. The industrial wastewater monitoring system based on the Internet of Things according to claim 6 is characterized in that: The system is configured to: The control terminal also includes a user interface, and the user interface is used to display the key indicator and the first change parameter in real time.

8. The industrial wastewater monitoring system based on the Internet of Things according to claim 7 is characterized in that: The system also includes a data storage module, and the system is configured to: The data storage module stores all the key indicators, change parameters, system settings and user operation records.

9. An industrial wastewater monitoring method based on the Internet of Things, characterized in that: Applicable to an industrial wastewater monitoring system based on the Internet of Things, the system includes a server, multiple monitoring terminals and a control terminal, and the method is applicable to the control terminal, including: The control terminal uploads the first monitoring data acquired by the monitoring terminal in the first monitoring period to the server; The control terminal obtains the first monitoring data from the server in a second monitoring period, and obtains the second monitoring data based on the monitoring terminal, wherein the second monitoring period is a continuous period after the first monitoring period; The control terminal compares the first monitoring data with the second monitoring data, and determines a first change parameter according to a comparison result; The control terminal determines target data from a plurality of corresponding monitoring quantities in the server based on the first change parameter, and the monitoring terminal based on the target data obtains third monitoring data in the third monitoring period, and uploads the third monitoring data to the server; The control terminal compares the second monitoring data with the third monitoring data, determines a second change parameter according to a result of the comparison, and uses the second change parameter as the first change parameter.

10. The method for monitoring industrial wastewater based on the Internet of Things according to claim 9, characterized in that: The control terminal uploads the first monitoring data acquired by the monitoring terminal in the first monitoring period to the server, including: The control terminal performs preliminary processing on the collected raw data, and the preliminary processing process includes: filtering, denoising and data format conversion; The control terminal encapsulates the raw data after the preliminary processing based on the target protocol to form encapsulated data, and sends the encapsulated data to the server; The server decodes the encapsulated data according to the target protocol.

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