Pollution management and control system based on Internet of Things

Abstract

The invention provides a pollution management and control system based on the Internet of Things. The system comprises a first data acquisition device which is deployed in each process link of enterprise production and is configured to acquire production energy consumption and emission data of an enterprise in real time; the server is configured to analyze the production energy consumption emission data, judge whether the possibility of excessive emission exists in enterprise production or not and generate a pollution control law enforcement task according to the possibility; and a law enforcement terminal configured to receive and display the content of the pollution control law enforcement task and record the process of the pollution control law enforcement task, the system can realize intelligent monitoring of the whole environmental protection process of an enterprise, accurately detect and early warn the environmental pollution condition, and improve the efficiency and accuracy of environmental supervision through an informatization means.

Description

Technical Field

[0001] The present invention relates to the technical field of pollution control systems, and in particular to a pollution control system based on the Internet of Things. Background Art

[0002] Traditional pollution control methods often have problems such as opaque information and low management efficiency. Due to the single traditional supervision data, law enforcement personnel and operation and maintenance managers need to have high professional knowledge and professional quality to judge when problems arise; and it is impossible to supervise the entire process of pollution control, and it is difficult to adapt to the complexity and urgency of current environmental governance. Therefore, it is particularly important to develop a smart control platform for the entire process of pollution control based on Internet of Things technology. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a pollution control system based on the Internet of Things to solve the above-mentioned technical problems existing in the prior art.

[0004] To achieve the above-mentioned object of the invention, the present invention provides a pollution control system based on the Internet of Things, the system comprising:

[0005] The first data collection device is deployed in each production process of the enterprise and is configured to collect the production energy consumption and emission data of the enterprise in real time and upload the production energy consumption and emission data to the server;

[0006] The server is configured to analyze the production energy consumption and emission data to determine whether the enterprise production has the possibility of excessive emission. When it is determined that the enterprise may have excessive emission problems, it generates pollution control law enforcement tasks and distributes them to the law enforcement terminals;

[0007] The law enforcement terminal is configured to receive and display the content of pollution control law enforcement tasks, as well as to record the pollution control law enforcement task process and upload the task process record data to the server.

[0008] Furthermore, the production energy consumption and emission data include water consumption data, electricity consumption data, drainage data, and exhaust data.

[0009] Furthermore, the server specifically includes:

[0010] A pre-processing module is configured to receive the production energy consumption and emission data uploaded by the first data acquisition device, and to mark and store the production energy consumption and emission data according to the data source;

[0011] An analysis module is configured to obtain production scale information and production energy consumption and emission data of each enterprise, input the production scale information and production energy consumption and emission data into a machine learning algorithm for analysis and processing, and obtain a judgment result on whether the enterprise may have an excessive emission problem;

[0012] A generation module is configured to generate corresponding pollution control law enforcement tasks based on the judgment results of the analysis module;

[0013] The dispatching module is configured to obtain the task execution status of each law enforcement terminal and dispatch the pollution control law enforcement tasks of unassigned law enforcement personnel according to the task execution status of each law enforcement terminal.

[0014] Furthermore, the law enforcement terminal specifically includes:

[0015] A receiving module is configured to receive pollution control law enforcement tasks dispatched by a server;

[0016] A management module, configured to manage the pollution control law enforcement tasks under the law enforcement personnel;

[0017] A recording module, configured to record the pollution control law enforcement task process in a variety of data formats;

[0018] The upload module is configured to upload the task process record data to the server.

[0019] Furthermore, the server specifically includes:

[0020] A storage module is configured to receive and store pollution control law enforcement task data and task process record data;

[0021] The permission control module is configured to perform hierarchical management on the operation permissions of the data stored in the storage module.

[0022] Furthermore, the server specifically includes:

[0023] The encryption module is configured to encrypt the pollution control law enforcement task data and the task process record data when the storage module stores the pollution control law enforcement task data and the task process record data, and the encryption specifically includes:

[0024] Obtain identification information of n historical pollution control law enforcement tasks of law enforcement personnel corresponding to the pollution control law enforcement task data, and generate a first parameter based on the obtained identification information;

[0025] Perform semantic recognition on the task process record data, and use the semantic recognition result as the second parameter;

[0026] The first parameter and the second parameter are concatenated and hashed, and the hashed result is used as an input parameter of a key generation algorithm to generate a key;

[0027] The pollution control law enforcement task data and task process record data are encrypted using a key.

[0028] Furthermore, the server specifically includes:

[0029] The compliance detection module is configured to perform semantic recognition on the task process record data, determine whether the pollution control law enforcement task process is compliant based on the semantic recognition results, and generate preliminary compliance detection results;

[0030] The review module is configured to assign preliminary compliance test results to auditors, obtain auditors' review results on the preliminary compliance test results, and generate final compliance results of the pollution control law enforcement task process based on the review results.

[0031] Furthermore, the system also includes:

[0032] The second data collection device is configured to collect data about the environment around the enterprise and upload the data about the environment around the enterprise to the server;

[0033] The server is also configured to analyze the environmental data surrounding the enterprise to determine whether the enterprise's production has the possibility of polluting the environment. When it is determined that the enterprise may have environmental pollution problems, it generates pollution control law enforcement tasks and distributes them to the law enforcement terminals.

[0034] Furthermore, the second data acquisition device includes a fixed data acquisition device and a movable data acquisition device.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The present invention provides a pollution control system based on the Internet of Things. By deploying a first data acquisition device in each production process of an enterprise, the production energy consumption and emission data of the enterprise can be collected in real time and uploaded to a server, thereby realizing intelligent monitoring of the entire environmental protection process of the enterprise. The server can analyze the large amount of collected production energy consumption and emission data to determine whether there is a possibility of excessive emissions in the enterprise's production, thereby more accurately detecting and warning of environmental pollution. When it is determined that the enterprise may have excessive emissions problems, a pollution control law enforcement task is generated and distributed to the law enforcement terminal. Law enforcement personnel can view the content of the pollution control law enforcement task through the law enforcement terminal and record the pollution control law enforcement task process, thereby improving the efficiency and accuracy of environmental supervision through information technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1It is a schematic diagram of the overall structure of a pollution control system based on the Internet of Things provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0040] Reference Figure 1 This embodiment provides a pollution control system based on the Internet of Things, the system comprising:

[0041] The first data collection device is deployed in each production process of the enterprise, and is configured to collect the production energy consumption and emission data of the enterprise in real time and upload the production energy consumption and emission data to the server.

[0042] Exemplarily, the production energy consumption and emission data include but are not limited to water consumption data, electricity consumption data, drainage data, exhaust data, etc.

[0043] The server is configured to analyze production energy consumption and emission data to determine whether there is a possibility of excessive emissions in the company's production. When it is determined that the company may have excessive emissions problems, it generates pollution control law enforcement tasks and distributes them to the law enforcement terminals.

[0044] The law enforcement terminal is configured to receive and display the content of pollution control law enforcement tasks, as well as to record the pollution control law enforcement task process and upload the task process record data to the server.

[0045] In this embodiment, the server specifically includes a pre-processing module, an analysis module, a generation module, and a distribution module.

[0046] Among them, the pre-processing module is configured to receive the production energy consumption and emission data uploaded by the first data acquisition device, and mark and store the production energy consumption and emission data according to the data source.

[0047] In some embodiments, the pre-processing module is also configured to verify the identity of the first data acquisition device when receiving the production energy consumption and emission data uploaded by the first data acquisition device. If the identity authentication fails, the corresponding data will not be adopted and an alarm will be issued; it is also configured to detect the integrity of the production energy consumption and emission data. If the integrity test fails, the corresponding data will not be adopted and an alarm will be issued.

[0048] The analysis module is configured to obtain the production scale information and production energy consumption and emission data of each enterprise, input the production scale information and production energy consumption and emission data into the machine learning algorithm for analysis and processing, and obtain the judgment result on whether the enterprise may have excessive emission problems. The pre-trained machine learning algorithm determines the reasonable energy consumption and emission data of the enterprise by analyzing the production scale information of the enterprise, and compares the reasonable energy consumption and emission data with the actual production energy consumption data, so as to determine whether the enterprise has excessive emission problems.

[0049] The generation module is configured to generate corresponding pollution control law enforcement tasks based on the judgment result of the analysis module. For example, if the analysis module determines that the enterprise has excessive emissions, the generation module generates corresponding pollution control law enforcement tasks, and the task content includes the enterprise name, location, emission type suspected of excessive emissions, energy consumption data, emission data, etc. If it is determined that the enterprise does not have excessive emissions, the generation module does not generate tasks.

[0050] The dispatch module is configured to obtain the task execution status of each law enforcement terminal, and dispatch the pollution control law enforcement task to which no law enforcement personnel are assigned according to the task execution status of each law enforcement terminal. For example, if the pollution control law enforcement task is assigned to a corresponding law enforcement personnel, the dispatch module will synchronously modify its dispatch status.

[0051] Correspondingly, the law enforcement terminal in this embodiment specifically includes a receiving module, a management module, a recording module and an uploading module.

[0052] The receiving module is configured to receive the pollution control law enforcement tasks dispatched by the server.

[0053] The management module is configured to manage the pollution control law enforcement tasks under the law enforcement personnel. Exemplarily, the management includes browsing the content of unexecuted, executed and executing pollution control law enforcement tasks, setting the execution status of pollution control law enforcement tasks, etc.

[0054] The recording module is configured to record the pollution control law enforcement task process in a variety of data formats. Exemplarily, the multiple data formats include but are not limited to text, image and audio formats.

[0055] The uploading module is configured to upload the task process record data to the server.

[0056] Based on the above embodiment, the server further includes a storage module and a permission control module.

[0057] The storage module is configured to receive and store pollution control law enforcement task data and task process record data. The pollution control law enforcement task data is used to characterize the task content of the pollution control law enforcement task, and the task process record data is the execution process of the pollution control law enforcement task recorded in different data formats.

[0058] The authority control module is configured to perform hierarchical management on the operation authority of the data stored in the storage module. Exemplarily, the hierarchical management specifically includes setting different levels of management authority level requirements for different storage data.

[0059] As an optional implementation, the server further includes an encryption module. The encryption module is configured to encrypt the pollution control law enforcement task data and the task process record data when the storage module stores the pollution control law enforcement task data and the task process record data, and the encryption specifically includes:

[0060] Obtain identification information of n historical pollution control law enforcement tasks of law enforcement personnel corresponding to the pollution control law enforcement task data, and generate a first parameter based on the obtained identification information. The identification information is a unique identification feature of the pollution control law enforcement task.

[0061] Perform semantic recognition on the task process record data and use the semantic recognition result as the second parameter.

[0062] The first parameter and the second parameter are concatenated and hashed, and the hashed result is used as an input parameter of a key generation algorithm to generate a key.

[0063] The pollution control law enforcement task data and task process record data are encrypted using a key.

[0064] This embodiment encrypts the pollution control law enforcement task data and the task process record data to prevent others from arbitrarily tampering with the task-related data, thereby ensuring the authenticity of the task process record and ensuring the openness and fairness of the task execution process.

[0065] As an optional implementation, the server further includes a compliance detection module and a review module.

[0066] The compliance detection module is configured to perform semantic recognition on the task process record data, determine whether the pollution control law enforcement task process is compliant based on the semantic recognition results, and generate preliminary compliance detection results.

[0067] The review module is configured to assign preliminary compliance test results to auditors, obtain auditors' review results on preliminary compliance test results, and generate final compliance results of the pollution control law enforcement task process based on the review results.

[0068] The system provided in this embodiment can perform preliminary compliance testing on the task process record data through semantic recognition technology, so as to determine whether the law enforcement actions taken by law enforcement personnel during the law enforcement process are compliant. After generating the preliminary compliance test results, manual review is performed to ensure that the compliance judgment results are accurate, which helps law enforcement personnel improve their law enforcement level.

[0069] As an optional implementation, the system further includes a second data collection device. The second data collection device is configured to collect enterprise surrounding environment data and upload the enterprise surrounding environment data to a server.

[0070] At the same time, the server is also configured to analyze the environmental data surrounding the enterprise to determine whether the enterprise's production has the possibility of polluting the environment. When it is determined that the enterprise may have environmental pollution problems, it generates pollution control law enforcement tasks and distributes them to the law enforcement terminal.

[0071] In some embodiments, the server can be configured to query a second data collection device around the enterprise that may have an excessive emission problem when it is determined that the enterprise may have an excessive emission problem, and start the second data collection device to collect environmental data around the enterprise, thereby determining whether the enterprise may cause pollution to the surrounding environment due to excessive emissions.

[0072] Exemplarily, the second data acquisition device includes a fixed data acquisition device and a movable data acquisition device. Users can select different types of second data acquisition devices and deploy them in different locations according to actual needs in different scenarios. The movable data acquisition device can be carried by a drone or an underwater robot.

[0073] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A pollution control system based on the Internet of Things, characterized in that: The system comprises: The first data collection device is deployed in each production process of the enterprise and is configured to collect the production energy consumption and emission data of the enterprise in real time and upload the production energy consumption and emission data to the server; The server is configured to analyze the production energy consumption and emission data to determine whether the enterprise production has the possibility of excessive emission. When it is determined that the enterprise may have excessive emission problems, it generates pollution control law enforcement tasks and sends them to the law enforcement terminal; The law enforcement terminal is configured to receive and display the content of pollution control law enforcement tasks, as well as to record the pollution control law enforcement task process and upload the task process record data to the server.

2. The pollution control system based on the Internet of Things according to claim 1 is characterized in that: The production energy consumption and emission data include water consumption data, electricity consumption data, drainage data, and exhaust data.

3. The pollution control system based on the Internet of Things according to claim 1 is characterized in that: The server specifically includes: A pre-processing module is configured to receive the production energy consumption and emission data uploaded by the first data acquisition device, and to mark and store the production energy consumption and emission data according to the data source; An analysis module is configured to obtain production scale information and production energy consumption and emission data of each enterprise, input the production scale information and production energy consumption and emission data into a machine learning algorithm for analysis and processing, and obtain a judgment result on whether the enterprise may have an excessive emission problem; A generation module is configured to generate corresponding pollution control law enforcement tasks based on the judgment results of the analysis module; The dispatching module is configured to obtain the task execution status of each law enforcement terminal and dispatch the pollution control law enforcement tasks of unassigned law enforcement personnel according to the task execution status of each law enforcement terminal.

4. The pollution control system based on the Internet of Things according to claim 1 is characterized in that: The law enforcement terminal specifically includes: A receiving module is configured to receive pollution control law enforcement tasks dispatched by a server; A management module, configured to manage the pollution control law enforcement tasks under the law enforcement personnel; A recording module, configured to record the pollution control law enforcement task process in a variety of data formats; The upload module is configured to upload the task process record data to the server.

5. The pollution control system based on the Internet of Things according to claim 4 is characterized in that: The server specifically includes: A storage module is configured to receive and store pollution control law enforcement task data and task process record data; The permission control module is configured to perform hierarchical management on the operation permissions of the data stored in the storage module.

6. The pollution control system based on the Internet of Things according to claim 5 is characterized in that: The server specifically includes: The encryption module is configured to encrypt the pollution control law enforcement task data and the task process record data when the storage module stores the pollution control law enforcement task data and the task process record data, and the encryption specifically includes: Obtain identification information of n historical pollution control law enforcement tasks of law enforcement personnel corresponding to the pollution control law enforcement task data, and generate a first parameter based on the obtained identification information; Perform semantic recognition on the task process record data, and use the semantic recognition result as the second parameter; The first parameter and the second parameter are concatenated and hashed, and the hashed result is used as an input parameter of a key generation algorithm to generate a key; The pollution control law enforcement task data and task process record data are encrypted using a key.

7. The pollution control system based on the Internet of Things according to claim 1 is characterized in that: The server specifically includes: The compliance detection module is configured to perform semantic recognition on the task process record data, determine whether the pollution control law enforcement task process is compliant based on the semantic recognition results, and generate preliminary compliance detection results; The review module is configured to assign preliminary compliance test results to auditors, obtain auditors' review results on the preliminary compliance test results, and generate final compliance results of the pollution control law enforcement task process based on the review results.

8. The pollution control system based on the Internet of Things according to claim 1 is characterized in that: The system further comprises: The second data collection device is configured to collect data about the environment around the enterprise and upload the data about the environment around the enterprise to the server; The server is also configured to analyze the environmental data surrounding the enterprise to determine whether the enterprise's production has the possibility of polluting the environment. When it is determined that the enterprise may have environmental pollution problems, it generates pollution control law enforcement tasks and distributes them to the law enforcement terminals.

9. The pollution control system based on the Internet of Things according to claim 8 is characterized in that: The second data acquisition device includes a fixed data acquisition device and a movable data acquisition device.

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