A remote centralized control method and system for a sewage treatment plant
A sewage treatment plant and centralized control system technology, applied in the field of remote centralized control, can solve the problems that technical personnel cannot be present for emergency treatment, etc.
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Embodiment 1
[0030] The remote centralized control system of the present invention is used to remotely monitor the operation process of sewage treatment plants arranged in multiple cities in different places, and at least one sewage treatment plant is arranged in each city in different places; figure 2 As shown, in this embodiment, the remote centralized control system 9 is used for remote monitoring of the sewage treatment plants in 10 different cities, respectively, the sewage treatment plants 011, ..., arranged in the first city 01, and arranged in the tenth city Sewage treatment plant 0101 and sewage treatment plant 0102 in city 010. The sewage treatment capacity and quantity of the sewage treatment plants installed in each city are configured according to the actual situation, and the number of specific cities in different places is also configured according to the actual situation. Regarding the number of sewage treatment plants, in order to deal with emergencies, it is usually requi...
Embodiment 2
[0046] As a description of Embodiment 2 of the present invention, only the differences from Embodiment 1 above will be described below.
[0047] Such as image 3 As shown, the remote centralized control method of the present invention includes a request receiving step S1, a preprocessing step S5, a request sending step S2, a receiving and screening step S3, and an instruction sending step S4. S2 adds a preprocessing step S5 to reduce the workload of technicians on the relevant platform, improve the efficiency of emergency treatment, and reduce errors in the process of generating control instructions.
[0048] The preprocessing step S5 specifically includes: after receiving the abnormal monitoring data, using the pre-trained abnormal processing model to obtain preliminary control instructions for the abnormal monitoring data, and the abnormal processing request sent to the target instruction acquisition unit includes the preliminary control instructions.
[0049] refer to fi...
Embodiment 3
[0052] As a description of Embodiment 3 of the present invention, only the differences from Embodiment 2 above will be described below.
[0053] In this embodiment, the centralized control unit 902 is integrated with an abnormality classification model that has been trained in advance, and the abnormality classification model is trained based on a convolutional neural network or the like using pre-calibrated samples.
[0054] The acquisition of the training samples for training the abnormal classification model includes the following steps:
[0055] (1) After receiving the exception handling request, the centralized control unit 910 sends exception handling requests to multiple target instruction acquisition units.
[0056] (2) After the target command acquisition unit receives the abnormal processing request containing the preliminary control command, it displays the abnormal monitoring data and the preliminary control command for the abnormal monitoring data on its display, ...
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