CN115270931A

CN115270931A - Online excess sludge discharge control method, device, equipment and storage medium

Info

Publication number: CN115270931A
Application number: CN202210793739.7A
Authority: CN
Inventors: 张华�; 王昭峰; 王保玉; 雒志伟
Original assignee: Mbp Environmental Engineering Co ltd
Current assignee: Mbp Environmental Engineering Co ltd
Priority date: 2022-07-07
Filing date: 2022-07-07
Publication date: 2022-11-01

Abstract

The application relates to the field of sludge treatment, in particular to an online excess sludge discharge control method, device, equipment and storage medium. The method comprises the following steps: when the information monitoring instruction is detected, equipment state information of the online measuring equipment is obtained, whether the online measuring equipment is matched with a preset abnormal type or not is judged according to the equipment state information, if the online measuring equipment is matched with the preset abnormal type, a discharge stopping instruction is generated, the preset abnormal type matched with the online measuring equipment is analyzed, abnormal position information and abnormal reasons of the online measuring equipment are determined, the discharge stopping instruction is used for controlling the discharge equipment to stop discharging residual sludge, keyword extraction is carried out on the abnormal position information and the abnormal reasons to obtain abnormal keyword information, an abnormal solution is determined based on the keyword information, and the abnormal solution is controlled and displayed.

Description

Online excess sludge discharge control method, device, equipment and storage medium

Technical Field

The application relates to the field of sludge treatment, in particular to an online excess sludge discharge control method, device, equipment and storage medium.

Background

Excess sludge (activated sludge) refers to activated sludge discharged from a secondary sedimentation tank (or sedimentation zone) in an activated sludge system. Production of excess sludge: during the biochemical treatment, the microorganisms in the activated sludge continuously consume the organic substances in the wastewater. Among the consumed organic substances, a part of the organic substances is oxidized to provide energy required for the vital activities of the microorganisms, and the other part of the organic substances is utilized by the microorganisms to synthesize new cytoplasm, so that the microorganisms multiply and reproduce, and a part of old microorganisms die while the microorganisms are metabolized, thereby generating residual sludge.

The essence of the excess sludge discharge is that in the working process of the microorganisms, the total amount of the excess sludge in the degradation tank is continuously increased due to the continuous proliferation of the microorganisms, and when the total amount of the excess sludge exceeds the accommodating amount of the degradation tank, the excess sludge is discharged so as to maintain the stability of the degradation tank.

At present, when the discharge of excess sludge is controlled, parameters such as organic matter content and solid content in a degradation tank are monitored in real time through online measurement equipment installed in the degradation tank, after the excess sludge control system receives the parameters, the total amount of the excess sludge in the degradation tank is calculated to obtain the total amount of the excess sludge existing in the current degradation tank, then the excess sludge control system judges the total amount of the excess sludge to determine whether the total amount of the excess sludge exceeds the standard total amount of the excess sludge, and if the total amount of the excess sludge exceeds the standard total amount of the excess sludge, the excess sludge is controlled to be discharged until the total amount of the excess sludge meets the standard total amount of the excess sludge.

In view of the above-mentioned related technologies, the inventor thinks that, when controlling the excess sludge discharge, once the problems such as failure or aging of the on-line measuring equipment occur, the problems existing in the on-line measuring equipment cannot be checked and maintained in time.

Disclosure of Invention

In order to timely perform troubleshooting and maintenance on online measuring equipment, the application provides an online excess sludge discharge control method, device, equipment and storage medium.

In a first aspect, the present application provides an online excess sludge discharge control method, which adopts the following technical scheme:

an online excess sludge discharge control method includes:

acquiring equipment state information of online measurement equipment;

judging whether the online measuring equipment is matched with a preset abnormal type or not according to the equipment state information;

if the abnormal position information is matched with the abnormal reason, generating a discharge stopping instruction, analyzing the preset abnormal type matched with the online measuring equipment, and determining the abnormal position information and the abnormal reason of the online measuring equipment, wherein the discharge stopping instruction is used for controlling the discharge equipment to stop discharging the excess sludge;

extracting keywords from the abnormal position information and the abnormal reason to obtain abnormal keyword information, and determining an abnormal solution based on the keyword information;

control displays the exception solution.

By adopting the technical scheme, when the discharge control is carried out on the excess sludge, the equipment state information of the online measuring equipment is obtained, whether the online measuring equipment is matched with the preset abnormal type or not is judged according to the equipment state information, when the online measuring equipment is matched with the preset abnormal type, the current online measuring equipment has a fault is indicated, a discharge stopping instruction is generated, the discharging equipment is controlled to stop discharging the excess sludge, the preset abnormal type matched with the online measuring equipment is analyzed, the abnormal position information and the abnormal reason of the online measuring equipment are determined, then the abnormal position information and the abnormal reason are respectively subjected to keyword extraction to obtain abnormal keyword information, an abnormal solution is determined according to the keyword information, the abnormal solution is controlled and displayed, so that a maintainer can maintain the online measuring equipment according to the abnormal solution, and the effect of timely checking and maintaining the online measuring equipment is achieved.

In another possible implementation manner, the determining an exception solution based on the keyword information includes:

inputting the keyword information into a trained character network model for training to obtain character feature vector information of the keyword information;

and performing data comparison analysis on the character feature vector information, and determining an abnormal solution matched with the character feature vector information.

According to the technical scheme, when the abnormal solution is determined according to the keyword information, the keyword information is input into the trained character network model for training to obtain the character feature vector information of the keyword information, then the character feature vector information is subjected to data comparison analysis to determine the abnormal solution matched with the character feature vector information, so that a maintainer can conveniently obtain the accurate abnormal solution.

In another possible implementation manner, the inputting the keyword information into a trained text network model for training further includes:

acquiring a character training sample, wherein the character training sample comprises equipment abnormal scheme information and keyword information corresponding to each scheme in the equipment abnormal scheme information;

and establishing a character network model, and training the character network model based on the character training sample to obtain the trained character network model.

According to the technical scheme, the character training samples are preset and comprise equipment abnormal scheme information and keyword information corresponding to each equipment abnormal scheme information, then the character network model is established, the character training samples are input into the character network model, so that the equipment abnormal scheme information and the keyword information of the character training samples are obtained, the trained character network model is obtained, and further the subsequent identification of abnormal position information and the keywords in the abnormal reasons is facilitated.

In another possible implementation manner, the method further includes:

and if the online measuring equipment is not matched with the preset abnormal type, obtaining the measuring parameters of the online measuring equipment, and performing logic period judgment on the measuring parameters to generate the residual sludge discharge amount.

Through the technical scheme, when the online measuring equipment is not matched with the preset abnormal type, the current online measuring equipment is not in fault, so that the measuring parameters of the online measuring equipment are obtained, the measuring parameters are subjected to logic period judgment, and finally the residual sludge discharge amount is generated, so that the subsequent discharging equipment can discharge the residual sludge quantitatively.

In another possible implementation manner, the logic cycle determining the measurement parameter to generate the amount of discharged excess sludge includes:

determining parameter category information based on the measurement parameters, wherein the parameter category information comprises a water inflow parameter, an organic matter content parameter, a sludge concentration parameter and a suspended solid concentration parameter;

determining whether the water inflow parameter meets a preset water inflow parameter range, if the water inflow parameter does not meet the preset water inflow parameter range, generating a water inflow parameter adjusting instruction, and adjusting the current water inflow according to the water amount parameter adjusting instruction;

if the water inflow parameter meets a preset water inflow parameter range, determining whether the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter in the water inflow meet a preset standard parameter range or not based on the water inflow parameter, and if at least one of the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter does not meet the preset standard parameter range, detecting the measurement parameter in a preset period, calculating the measurement parameter, and generating the residual sludge discharge amount;

and if the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter in the water inflow meet the preset standard parameter range, calculating according to the current measurement parameters to generate the residual sludge discharge amount.

According to the technical scheme, when the measurement parameters are logically judged, the water inflow parameter, the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter are determined according to the measurement parameters, then whether the water inflow parameter meets the preset water inflow parameter range is judged, if the water inflow parameter does not meet the preset water inflow parameter range, a water inflow parameter adjusting instruction is generated, the current water inflow is adjusted according to the water amount parameter adjusting instruction, so that the water inflow parameter meets the preset water inflow parameter range, until the water inflow parameter meets the preset water inflow parameter range, whether the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter in the water inflow meet the preset standard parameter range is determined according to the water inflow parameter, when at least one of the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter does not meet the preset standard parameter range, the measurement parameters in the preset period are detected, the measurement parameters are calculated, the residual sludge discharge amount is generated, and when the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter in the water inflow parameter all meet the preset standard parameter range, the residual sludge discharge amount is calculated, the residual sludge discharge amount is generated, and the residual sludge discharge amount is improved.

In another possible implementation manner, the method further includes:

acquiring image information, performing target identification on the image information, determining whether suspicious target personnel exist in the image information, and if so, performing warning processing on the suspicious target personnel, wherein the preset image information is a protection area of a degradation pool;

judging whether the image information exists after the suspicious target person is in a preset warning time, wherein the preset warning time is the starting time of warning processing, if yes, generating early warning information, and simultaneously controlling an alarm device to output an alarm signal in a preset mode;

wherein the preset mode comprises at least one of the following modes: sound output mode and light output mode.

Through the technical scheme, when the degradation tank is monitored, firstly, the image information of the protection area of the degradation tank is obtained, then, the target identification is carried out on the image information, wherein the target identification object comprises the personnel type, whether suspicious target personnel exist in the current image information is monitored, and when the suspicious target personnel exist, warning processing is carried out, for example: sending warning voice to inform suspicious target personnel of keeping away from the preset range information, if the suspicious target personnel are still in the image information after the preset time, generating early warning information to inform maintenance personnel to check, and simultaneously controlling alarm equipment to give an alarm, thereby achieving the effect of improving the protection efficiency of the degradation pool.

In another possible implementation manner, the generating the warning information further includes:

acquiring real-time position information of the suspicious target personnel and monitoring position information of maintenance personnel in the image information;

and generating navigation route information based on the monitoring position information and the real-time position information.

According to the technical scheme, after the early warning information is generated, the position information of suspicious target personnel and maintenance personnel is detected, and then the navigation route is generated according to the real-time position information and the monitored position information, so that the maintenance personnel can check the current suspicious target personnel through the navigation route information.

In a second aspect, the present application provides an online excess sludge discharge control device, which adopts the following technical scheme:

an on-line excess sludge discharge control apparatus comprising:

the state acquisition module is used for acquiring equipment state information of the online measurement equipment after the information monitoring instruction is detected;

the state judgment module is used for judging whether the online measuring equipment is matched with a preset abnormal type or not according to the equipment state information;

the abnormality analysis module is used for generating a discharge stopping instruction when the online measuring equipment is matched with a preset abnormal type, analyzing the preset abnormal type matched with the online measuring equipment, and determining abnormal position information and abnormal reasons of the online measuring equipment, wherein the discharge stopping instruction is used for controlling the discharge equipment to stop discharging the residual sludge;

the scheme determining module is used for extracting keywords from the abnormal position information and the abnormal reason to obtain abnormal keyword information and determining an abnormal solution based on the keyword information;

and the control display module is used for controlling and displaying the abnormal solution.

By adopting the technical scheme, when the discharge control is performed on the excess sludge, the state acquisition module acquires the equipment state information of the online measurement equipment, then the state judgment module judges whether the online measurement equipment is matched with the preset abnormal type or not according to the equipment state information, when the online measurement equipment is matched with the preset abnormal type, the current online measurement equipment has a fault, the abnormal analysis module generates a discharge stopping instruction, controls the discharge equipment to stop discharging the excess sludge, analyzes the preset abnormal type matched with the online measurement equipment at the same time, determines the abnormal position information and the abnormal reason of the online measurement equipment, then the scheme determination module performs keyword extraction on the abnormal position information and the abnormal reason respectively to obtain abnormal keyword information, determines an abnormal solution according to the keyword information, and controls and displays the abnormal solution so that a maintainer can maintain the online measurement equipment according to the abnormal solution, thereby achieving the effect of timely troubleshooting and maintenance of the online measurement equipment.

In a possible implementation manner, the anomaly analysis module determines an anomaly solution based on the keyword information, and is specifically configured to:

In another possible implementation manner, the apparatus further includes: a sample acquisition module and a model creation module, wherein,

the sample acquisition module is used for acquiring a character training sample, and the character training sample comprises equipment abnormal scheme information and keyword information corresponding to each scheme in the equipment abnormal scheme information;

and the model creating module is used for creating a character network model and training the character network model based on the character training sample to obtain the trained character network model.

In another possible implementation manner, the apparatus further includes: a logic determination module, wherein,

and the logic judgment module is used for acquiring the measurement parameters of the measurement equipment when the online measurement equipment is not matched with the preset abnormal type, and performing logic period judgment on the measurement parameters to generate the residual sludge discharge amount.

In another possible implementation manner, the logic judgment module performs logic cycle judgment on the measurement parameter to generate the discharge amount of the excess sludge, and is specifically configured to:

In another possible implementation manner, the apparatus further includes: an image acquisition module, an image recognition module, a warning module and an alarm module, wherein,

the image acquisition module is used for acquiring image information, and the preset image information is a protection area of the degradation pool;

the image identification module is used for carrying out target identification on the image information and determining whether suspicious target personnel exist in the image information;

the warning module is used for warning suspicious target personnel when the suspicious target personnel exist in the image information;

the alarm module is used for judging whether the suspicious target personnel have the image information after preset alarm time, wherein the preset alarm time is the starting time of alarm processing;

if the alarm signal exists, generating early warning information, and simultaneously controlling the alarm equipment to output an alarm signal in a preset mode;

wherein the preset mode comprises at least one of the following: sound output mode and light output mode.

In another possible implementation manner, the apparatus further includes: a location acquisition module and a route generation module, wherein,

the position acquisition module is used for acquiring real-time position information of the suspicious target personnel and monitoring position information of maintenance personnel in the image information;

and the route generating module is used for generating navigation route information based on the monitoring position information and the real-time position information.

In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:

an electronic device, comprising:

at least one processor;

a memory;

at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: the above-described online excess sludge discharge control method is performed.

In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:

a computer-readable storage medium, comprising: a computer program is stored which can be loaded by a processor and which implements the above-described on-line excess sludge discharge control method.

To sum up, the application comprises the following beneficial technical effects:

1. when the discharge of the excess sludge is controlled, the equipment state information of the on-line measuring equipment is obtained, whether the on-line measuring equipment is matched with a preset abnormal type or not is judged according to the equipment state information, when the on-line measuring equipment is matched with the preset abnormal type, the current on-line measuring equipment is indicated to have a fault, a discharge stopping instruction is generated, the discharge equipment is controlled to stop discharging the excess sludge, meanwhile, the preset abnormal type matched with the on-line measuring equipment is analyzed, the abnormal position information and the abnormal reason of the on-line measuring equipment are determined, then, keyword extraction is respectively carried out on the abnormal position information and the abnormal reason, abnormal keyword information is obtained, an abnormal solution is determined according to the keyword information, and the abnormal solution is controlled and displayed, so that a maintainer can maintain the on-line measuring equipment according to the abnormal solution, and the effect of timely checking and maintaining the on-line measuring equipment is achieved;

2. when the measurement parameters are logically judged, a water inflow parameter, an organic matter content parameter, a sludge concentration parameter and a suspended solid concentration parameter are determined according to the measurement parameters, then whether the water inflow parameter meets a preset water inflow parameter range is judged, if the water inflow parameter does not meet the preset water inflow parameter range, a water inflow parameter adjusting instruction is generated, current water inflow is adjusted according to the water amount parameter adjusting instruction, so that the water inflow parameter meets the preset water inflow parameter range, when the water inflow parameter meets the preset water inflow parameter range, whether an organic matter content parameter, a sludge concentration parameter and a suspended solid concentration parameter in the water inflow meet a preset standard parameter range is determined according to the water inflow parameter, when at least one of the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter does not meet the preset standard parameter range, the measurement parameters in a preset period are detected, the measurement parameters are calculated according to generate residual sludge discharge, and when the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter in the water inflow all meet the preset standard parameter range, the residual sludge discharge is generated, and the residual sludge discharge accuracy is improved.

Drawings

FIG. 1 is a schematic flow chart of an online excess sludge discharge control method according to an embodiment of the present application;

FIG. 2 is a block diagram schematically illustrating an on-line excess sludge discharge control apparatus according to an embodiment of the present application;

fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The present application is described in further detail below with reference to figures 1-3.

A person skilled in the art, after reading the present description, may make modifications to the embodiments as required, without any inventive contribution thereto, but shall be protected by the patent laws within the scope of the claims of the present application.

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.

The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.

The embodiment of the application provides an online excess sludge discharge control method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, and an embodiment of the present application is not limited thereto, as shown in fig. 1, the method includes:

and step S10, acquiring the equipment state information of the online measuring equipment.

For the embodiment of the application, the online measuring equipment comprises an online BOD5 meter, an online sludge concentration meter, a water inlet flow meter and an excess sludge pump flow meter, the above devices are respectively installed in the degradation tank, data measurement is performed on sewage in the degradation tank, and when the equipment state information of the online measuring equipment is obtained, corresponding sensors are installed inside the corresponding online measuring equipment, for example: the method comprises the steps of installing a turbidity sensor at a detection probe of an online sludge concentration instrument, comparing detection data with data detected by the online sludge concentration instrument by receiving the detection data of the turbidity sensor, and indicating that the equipment state of the current online sludge concentration instrument is abnormal when the data detected by the online sludge concentration instrument is not corresponding to the detection data.

And S11, judging whether the online measuring equipment is matched with a preset abnormal type or not according to the equipment state information.

For the embodiment of the present application, the preset exception category includes: detecting data abnormality, water inflow abnormality, display data abnormality and calculation data abnormality.

And S12, if the abnormal conditions are matched, generating a discharge stopping instruction, analyzing the preset abnormal type matched with the online measuring equipment, determining the abnormal position information and the abnormal reason of the online measuring equipment, and controlling the discharge equipment to stop discharging the excess sludge by using the discharge stopping instruction.

Specifically, when the preset abnormal type matched with the online measurement device is abnormal display data, that is, the display screen of the current instrument is abnormal, the abnormal position information of the online measurement device is the display screen, and the abnormal reason may be a button failure of a sludge concentration meter transmitter, a black screen of a sludge concentration meter LCD display screen, an incorrect current output value of the sludge concentration meter, a communication failure of the sludge concentration meter RS485, and the like.

And S13, extracting keywords from the abnormal position information and the abnormal reason to obtain abnormal keyword information, and determining an abnormal solution based on the keyword information.

For the embodiment of the application, the Python technology is used to extract the text keywords, and the specific operation flow is as follows:

loading a document data set, wherein the document data set is history abnormal position information and history abnormal reasons, then loading a deactivation word list, performing word segmentation on the text in the document data set, filtering interference words according to the deactivation word list, then performing algorithm training according to the document data set to obtain a trained algorithm, and performing keyword extraction on the abnormal position information and the abnormal reasons by the trained algorithm to obtain abnormal keywords.

Step S14, control displays an exception solution.

Specifically, the abnormal solution is obtained through a control layer (controller), a service layer (service) and a data access layer (dao), the data access layer is only responsible for data interaction with a database, data is read, the service layer needs to write logic codes according to actual service requirements of the system, the service logic layer calls related methods of the data access layer to achieve interaction with the database and feeds execution results back to the control layer, the control layer sends position information to a view renderer, view rendering is conducted on the abnormal solution, and the abnormal solution is displayed back.

The embodiment of the application provides an online excess sludge discharge control method, when the excess sludge is controlled to be discharged, equipment state information of online measurement equipment is obtained, whether the online measurement equipment is matched with a preset abnormal type or not is judged according to the equipment state information, when the online measurement equipment is matched with the preset abnormal type, the current online measurement equipment has a fault, a discharge stopping instruction is generated, the discharge equipment is controlled to stop discharging the excess sludge, the preset abnormal type matched with the online measurement equipment is analyzed, abnormal position information and abnormal reasons of the online measurement equipment are determined, keyword extraction is respectively carried out on the abnormal position information and the abnormal reasons to obtain abnormal keyword information, an abnormal solution is determined according to the keyword information, the abnormal solution is controlled and displayed, so that maintenance personnel can maintain the online measurement equipment according to the abnormal solution, and the effect of timely checking and maintaining the online measurement equipment is achieved.

In a possible implementation manner of the embodiment of the present application, step S13 specifically includes step S131 (not shown in the figure) and step S132 (not shown in the figure), wherein,

step S131, inputting the keyword information into the trained character network model for training, and obtaining character feature vector information of the keyword information.

For the embodiment of the application, a CNN technology is adopted for text classification, but the simple CNN can cause convolution and pooling to lose the arrangement relationship of local words IN sentences, so an NLP (NLP), namely a CNN IN NLP, is added on the basis of the CNN technology, the input of an NLP task is a sentence or document represented by a matrix, and each row of the matrix corresponds to one word or character, namely each row represents one word feature vector information.

Step S132, performing data comparison analysis on the character feature vector information, and determining an abnormal solution matched with the character feature vector information.

Specifically, after data analysis is performed on the text features to the information, an exception solution is obtained, for example: if the abnormality cause is communication failure of the sludge concentration meter RS485, the abnormality solutions corresponding to the abnormality cause include three types: A. if the cables are not correctly wired, please refer to a sludge concentration meter wiring indication diagram for correct wiring; B. if the signal transmission distance is too long or the signal transmission cable does not meet the installation requirement, please shorten the signal transmission distance or select the cable meeting the installation requirement; C. please refer to the description to set up the communication protocol, if the communication protocol is wrong.

In a possible implementation manner of the embodiment of the present application, step S131 further includes step SA1 (not shown in the figure) and step SA2 (not shown in the figure), wherein,

step SA1, obtaining a character training sample, wherein the character training sample comprises equipment abnormal scheme information and keyword information corresponding to each scheme in the equipment abnormal scheme information.

Step S1322 is to create a character network model and train the character network model based on the character training sample to obtain the trained character network model.

Specifically, the word network model is a Neural network model, and a Neural Network (NN) is a complex network system formed by widely interconnecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. The neural network has the capabilities of large-scale parallel, distributed storage and processing, self-organization, self-adaptation and self-learning, and is particularly suitable for processing the inaccurate and fuzzy information processing problems which need to consider many factors and conditions simultaneously. The development of neural networks is related to neuroscience, mathematical science, cognitive science, computer science, artificial intelligence, information science, cybernetics, robotics, microelectronics, psychology, optical computing, molecular biology, and the like.

In a possible implementation manner of the embodiment of the present application, after step S14, the method further includes:

Specifically, when the online measuring equipment is not matched with the preset abnormal type, the current online measuring equipment is not in fault, so that the measuring parameters of the online measuring equipment are obtained, the measuring parameters are subjected to logic period judgment, and finally the residual sludge discharge amount is generated.

In a possible implementation manner of this embodiment, step S14 specifically includes determining parameter category information based on the measurement parameter, where the parameter category information includes a water inflow parameter, an organic matter content parameter, a sludge concentration parameter, and a suspended solid concentration parameter, determining whether the water inflow parameter satisfies a preset water inflow parameter range, if the water inflow parameter does not satisfy the preset water inflow parameter range, generating a water inflow parameter adjustment instruction, and adjusting a current water inflow according to the water amount parameter adjustment instruction, if the water inflow parameter satisfies the preset water inflow parameter range, determining whether an organic matter content parameter, a sludge concentration parameter, and a suspended solid concentration parameter in the water inflow satisfy a preset standard parameter range based on the water inflow parameter, if at least one of the organic matter content parameter, the sludge concentration parameter, and the suspended solid concentration parameter does not satisfy the preset standard parameter range, detecting the measurement parameter in a preset period, and calculating the measurement parameter, generating an excess sludge discharge amount, and if the organic matter content parameter, the sludge concentration parameter, and the suspended solid concentration parameter in the water inflow satisfy the preset standard parameter range, calculating according to the current measurement parameter, and generating an excess sludge discharge amount.

In a possible implementation manner of the embodiment of the present application, step S13 further includes step S15 (not shown in the figure) and step S16 (not shown in the figure), wherein,

and S15, acquiring image information, performing target identification on the image information, determining whether suspicious target personnel exist in the image information, and if so, performing warning processing on the suspicious target personnel, wherein the image information is preset as a protection area of the degradation pool.

Specifically, when the degradation pool is protected, an electronic fence is used for surrounding the degradation pool to form a protection area, a GPS and a camera are installed on the electronic fence, and image information is determined by obtaining an image shot by the camera of the electronic fence.

Specifically, the target detection technology can determine the position of each human target type in the image information, and frame each human target type through a bounding box, where an image area in the bounding box is an image area corresponding to the human target in the image.

Specifically, the warning information may be displayed in a display screen manner, or may be transmitted in a sound manner, and the specific situation is not limited.

And S16, judging whether image information exists after the preset warning time of the suspicious target personnel, wherein the preset warning time is the starting time of warning processing, if yes, generating early warning information, and simultaneously controlling the warning equipment to output a warning signal in a preset mode.

Wherein the preset mode comprises at least one of the following modes: a sound output mode and a light output mode.

Specifically, assuming that the preset warning time is 3 minutes, the timing is started after the suspicious target person is detected, for example: and 5 points 20, the suspicious object person is detected to approach, and after 5 points 23, the suspicious object person is still in the image information.

Specifically, when the length of the suspicious target person entering the preset range information exceeds the preset warning time, the electronic device transmits a control signal to the alarm device so as to control the alarm device to send out an alarm signal in a sound mode and a light output mode.

For example, the means for audibly signaling an alarm signal includes: buzzer, bell, whistle and steam whistle etc. send out alarm signal's device through light output mode includes: breathing lights, flashing lights, engineering warning lights, and the like.

In a possible implementation manner of the embodiment of the present application, step S16 further includes step S161 (not shown in the figure) and step S162 (not shown in the figure), wherein,

step S161, obtaining real-time location information of the suspicious target person and monitoring location information of the maintenance person in the image information.

Specifically, the person is positioned based on the GPS positioning operation in HTML 5. In HTML5 there is a geolocalization API for obtaining the geographical position of a user by GPS, also known as GPS positioning.

Step S162, generating navigation route information based on the monitored position information and the real-time position information.

Specifically, a navigation route for monitoring position information and real-time position information is generated through a GPS navigation system, wherein the GPS navigation system is a radio navigation positioning system which is used for providing information such as three-dimensional position, three-dimensional speed and the like to all parts of the world on the basis of 24 positioning artificial satellites. The ground control part consists of a main control station, a ground antenna, a monitoring station and a communication auxiliary system. The second is a space part which is composed of 24 satellites and distributed on 6 orbit planes. And the third is a user device part which consists of a GPS receiver and a satellite antenna. The civil positioning precision can reach within 10 meters.

The above embodiments describe a method for controlling online excess sludge discharge from the perspective of the process flow, and the following embodiments describe an apparatus for controlling online excess sludge discharge from the perspective of a virtual module or a virtual unit, which are described in detail in the following embodiments.

The embodiment of the present application provides an online excess sludge discharge control device, as shown in fig. 2, the device 20 may specifically include: a status acquisition module 21, a status judgment module 22, an abnormality analysis module 23, a scenario determination module 24, and a control display module 25, wherein,

a state obtaining module 21, configured to obtain device state information of the online measurement device;

the state judgment module 22 is used for judging whether the online measuring equipment is matched with a preset abnormal type according to the equipment state information;

the abnormity analysis module 23 is used for generating a discharge stopping instruction when the online measuring equipment is matched with the preset abnormity type, analyzing the preset abnormity type matched with the online measuring equipment, determining the abnormity position information and the abnormity reason of the online measuring equipment, and the discharge stopping instruction is used for controlling the discharge equipment to stop discharging the excess sludge;

the scheme determining module 24 is configured to perform keyword extraction on the abnormal position information and the abnormal reason to obtain abnormal keyword information, and determine an abnormal solution based on the keyword information;

and a control display module 25 for controlling display of the solution to the abnormality.

In a possible implementation manner of the embodiment of the present application, the anomaly analysis module 23 determines an anomaly solution based on the keyword information, and is specifically configured to:

inputting the keyword information into a trained character network model for training, and acquiring character feature vector information of the keyword information;

and performing data comparison analysis on the character feature vector information to determine an abnormal solution matched with the character feature vector information.

In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a sample acquisition module and a model creation module, wherein,

the system comprises a sample acquisition module, a text training module and a text analysis module, wherein the sample acquisition module is used for acquiring text training samples, and the text training samples comprise equipment abnormal scheme information and keyword information corresponding to each scheme in the equipment abnormal scheme information;

and the model establishing module is used for establishing a character network model and training the character network model based on the character training sample to obtain the trained character network model.

In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a logic determination module, wherein,

In another possible implementation manner of the embodiment of the application, the logic judgment module performs logic period judgment on the measurement parameters to generate the residual sludge discharge amount, and is specifically used for:

if the water inflow parameter meets the preset water inflow parameter range, determining whether an organic matter content parameter, a sludge concentration parameter and a suspended solid concentration parameter in the water inflow meet a preset standard parameter range or not based on the water inflow parameter, and if at least one of the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter does not meet the preset standard parameter range, detecting a measurement parameter in a preset period, calculating the measurement parameter, and generating the residual sludge discharge amount;

and if the organic matter content parameter, the sludge concentration parameter and the suspended solid concentration parameter in the water inflow meet the preset standard parameter range, calculating according to the current measurement parameter to generate the residual sludge discharge amount.

In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: an image acquisition module and an alarm module, wherein,

the image acquisition module is used for acquiring image information, carrying out target identification on the image information, determining whether suspicious target personnel exist in the image information, and if so, carrying out warning treatment on the suspicious target personnel, and presetting the image information as a protection area of the degradation pool;

the alarm module is used for judging whether image information exists after the preset alarm time of the suspicious target personnel, the preset alarm time is the starting time of alarm processing, if yes, the alarm module generates early warning information and controls the alarm equipment to output an alarm signal in a preset mode;

the preset mode comprises at least one of the following modes: sound output mode and light output mode.

In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a location acquisition module and a route generation module, wherein,

the position acquisition module is used for acquiring real-time position information of suspicious target personnel and monitoring position information of maintenance personnel in the image information;

In the embodiment of the present application, in addition to the above-mentioned apparatus, the apparatus further includes: an on-line control device for the total nitrogen of sewage treatment reaching the standard, an on-line sludge reflux control device, an on-line nitrifying liquid reflux control device and an on-line nutrient element adding system device, wherein,

the sewage total nitrogen on-line control device up to standard includes:

the data acquisition module is used for acquiring ammoniacal nitrogen concentration data and nitrate nitrogen concentration data in the biochemical pool in real time;

the setting module is used for receiving an upper limit concentration threshold value and a lower limit concentration threshold value of dissolved oxygen of the user terminal and standard ranges of ammoniacal nitrogen concentration and nitrate nitrogen concentration, and judging whether the ammoniacal nitrogen concentration and the nitrate nitrogen concentration exceed the standard or not in real time based on the ammoniacal nitrogen concentration and the standard ranges of the nitrate nitrogen concentration;

the up-regulation module is used for up-regulating the upper limit concentration threshold value and the lower limit concentration threshold value by a unit increment amount when the ammonia nitrogen concentration data exceeds the standard, and setting the maintaining time length;

and the carbon feeding control module is used for sending a carbon source feeding instruction to the carbon source terminal if the nitrate nitrogen concentration data in the maintaining time exceeds the standard, and the carbon source terminal is used for feeding a quantitative carbon source into the biochemical pool when receiving the carbon source feeding instruction.

Specifically, by adopting the technical scheme, the ammonia nitrogen concentration and the nitrate nitrogen concentration in the sewage are obtained in real time, the upper limit concentration threshold value and the lower limit concentration threshold value as well as the standard ranges of the ammonia nitrogen concentration and the nitrate nitrogen concentration are preset according to the ammonia nitrogen concentration and the nitrate nitrogen concentration, when the ammonia nitrogen concentration exceeds the standard, the system can automatically adjust the upper limit threshold value and the lower limit threshold value of dissolved oxygen, so that the content of the dissolved oxygen in the water is increased, the adjusted numerical value is fixed and the maintenance duration is set, so that the addition of the dissolved oxygen is more stable, the nitrate nitrogen is not easy to suddenly increase due to excessive addition, and the change of the ammonia nitrogen concentration and the nitrate nitrogen concentration in the sewage can be observed within the maintenance duration; if the concentration of the nitrate nitrogen exceeds the standard in the maintaining time, namely the contents of the ammonia nitrogen and the nitrate nitrogen are unbalanced, the carbon source terminal throws carbon into the biochemical pond by sending a throwing instruction to the carbon source terminal to promote the denitrification reaction of the nitrate nitrogen and accelerate the denitrification process of the nitrate nitrogen so as to reduce the concentration of the nitrate nitrogen, and at the moment, the concentrations of the ammonia nitrogen and the nitrate nitrogen in the sewage can be maintained in the standard range to realize the balance of the ammonia nitrogen and the nitrate nitrogen in the sewage; the system can automatically adjust the upper and lower limit threshold of dissolved oxygen according to the ammonia nitrogen concentration and automatically control carbon feeding operation according to the nitrate nitrogen concentration, thereby reducing the complicated steps of manual debugging, facilitating the control of the ammonia nitrogen and nitrate nitrogen contents in the sewage treatment within the standard range by workers and ensuring more convenient control of the total nitrogen content in the sewage treatment.

On-line sludge backflow control device includes:

the data acquisition module is used for acquiring water quality feedback data of a water inlet end, first sludge concentration data of the reaction area and second sludge concentration data of the sedimentation tank in real time;

the data input module is used for inputting the water quality feedback data, the first sludge concentration data and the second sludge concentration data which are acquired in real time into the standard judgment model, and the standard judgment model is preset with a water quality standard exceeding threshold;

the data comparison module is used for judging the numerical values of the water quality feedback data and the water quality standard exceeding threshold value and judging the numerical values of the first sludge concentration data and the second sludge concentration data when the standard judgment model receives the water quality feedback data, the first sludge concentration data and the second sludge concentration data;

the interval up-regulation module is used for up-regulating a flow control interval of the sludge reflux quantity and setting the maintaining time when the water quality feedback data is greater than the water quality standard exceeding threshold or the second sludge concentration data is greater than the first sludge concentration data;

and the interval down-regulation module is used for down-regulating the flow control interval and setting the maintaining time when the second sludge concentration data is less than or equal to the first sludge concentration data and the water quality feedback data is less than the water quality standard exceeding threshold value within the maintaining time.

Specifically, through adopting above-mentioned technical scheme, acquire the quality of water feedback data of the end of intaking in real time, reaction zone sludge concentration and sedimentation tank concentration, whether the quality of water of the end of intaking is worsened in order to judge through the quality of water feedback data of the end of comparing the end of intaking more than quality of water exceeds standard threshold, whether the sludge concentration of the judgement sedimentation tank of comparing the sludge concentration of reaction zone and sedimentation tank is too big, when quality of water worsens, automatically, the flow control interval of the mud backward flow of rising, in order to increase the mud backward flow, the nitration and the denitrification reaction of reaction zone are accelerated in the increase of mud backward flow, when sedimentation tank sludge concentration is too big, rising the mud backward flow of rising has also improved the absorption of mud, the utilization ratio of the function of increase sludge sedimentation, make simultaneously the play water quality difficult receiving influence, can alleviate reaction zone water quality deterioration. When the water quality of the water inlet end reaches the standard again and the sludge concentration of the sedimentation tank is less than or equal to the sludge concentration of the reaction zone, the flow control interval can be automatically adjusted downwards, namely when the water quality accords with the standard again and the sludge concentration of the sedimentation tank and the sludge concentration of the reaction zone are balanced, the sludge reflux quantity is adjusted downwards to the initial state, therefore, when the water quality deteriorates or the sludge concentration of the sedimentation tank is too large, the sludge reflux quantity can be automatically monitored and adjusted according to the acquired data, the sludge treatment is not easily influenced, the time for artificially calculating the data is saved, the labor force for manually debugging and monitoring is saved, and the purposes of saving time and labor force in the sludge reflux quantity adjusting mode are achieved.

The online nitrifying liquid reflux control device comprises:

the monitoring module is used for monitoring total nitrogen of inlet water, total nitrogen of outlet water and sludge reflux quantity of regulation and control index concentrations in the biochemical pool, wherein the regulation and control index concentrations comprise ammonia nitrogen concentration and/or nitrate concentration;

the calculating module is used for calculating a first nitrifying liquid reflux quantity of the biochemical pool according to the total nitrogen of the inlet water, the total nitrogen of the outlet water and the sludge reflux quantity when the concentration of the regulation and control index exceeds a concentration threshold value, wherein the concentration threshold value comprises a concentration threshold value of the concentration of the regulation and control index, and the first nitrifying liquid reflux quantity comprises a nitrifying liquid reflux quantity actually required by the biochemical pool when the concentration of the regulation and control index exceeds the concentration threshold value;

the regulation and control module is used for regulating and controlling the regulation and control index concentration according to the reflux quantity of the first nitrifying liquid and the concentration threshold value;

the monitoring subsystem is used for monitoring the monitoring information of the dissolved oxygen concentration monitoring device, the ammonia nitrogen concentration monitoring device, the nitrate concentration monitoring device and/or the nitrifying liquid reflux monitoring device;

and the control subsystem is used for controlling the nitrification liquid reflux control device to regulate and control the regulation and control index concentration in the biochemical tank by matching with the dissolved oxygen control system according to the monitoring information.

Specifically, by adopting the above technical scheme, the control index concentration, the total nitrogen of the inlet water, the total nitrogen of the outlet water and the sludge reflux amount in the biochemical pool are monitored, when the control index concentration exceeds a concentration threshold value, the first nitrifying liquid reflux amount of the biochemical pool is calculated according to the total nitrogen of the inlet water, the total nitrogen of the outlet water and the sludge reflux amount, and then the control index concentration is controlled according to the first nitrifying liquid reflux amount and the concentration threshold value, so that the problem that in the current control method for nitrifying liquid reflux based on manual setting, the nitrifying liquid reflux amount is generally a constant value of equipment, cannot be automatically adjusted when the water quality or index state changes, and the problem that the treatment effect is poor or the energy consumption is high due to insufficient reflux amount or excessive reflux amount, the accurate control of system total nitrogen reduction cannot be realized is solved, the automatic control of nitrifying liquid reflux amount is achieved, low energy consumption is reduced on the premise of good effect, and the effect of the accuracy of total nitrogen reduction is improved.

On-line nutrient element dosing system device includes:

the monitoring module is used for monitoring the water inlet concentration of elements to be added in the biochemical tank, wherein the elements to be added comprise phosphorus elements, nitrogen elements and/or carbon elements;

the acquisition module is used for acquiring water quality data in the biochemical pool in a preset period when the inlet water concentration is lower than the concentration threshold of the element to be added;

the first calculation module is used for calculating the adding concentration of the element to be added according to the concentration threshold and the water inlet concentration;

the second calculation module is used for calculating the medicament adding amount of the elements to be added according to the medicament adding information, the adding concentration and the water quality data to realize the adding of the elements to be added;

the monitoring subsystem is used for monitoring information of the biochemical oxygen demand monitoring device, the chemical oxygen demand monitoring device, the sludge concentration monitoring device and/or the water quality analysis device;

and the control subsystem is used for controlling the nutrient element adding device to add the medicament according to the monitoring information.

Specifically, by adopting the technical scheme, the inlet water concentration of the element to be added in the biochemical tank is monitored; when the concentration of inlet water is lower than the concentration threshold of an element to be added, acquiring water quality data in the biochemical tank in a preset period; then calculating the adding concentration of the element to be added according to the concentration threshold and the water inlet concentration; and then according to the information of the added medicament, the added concentration and the water quality data, calculating the medicament adding amount of the elements to be added, realizing the adding of the elements to be added, solving the problem of poor accuracy of controlling the medicament adding amount in the measure of regularly discharging the medicament containing nutrient elements based on manual setting, adaptively adjusting when the water quality or index state changes, calculating and predicting the medicament amount required by the system, accurately adding in time, achieving the effect of improving the accuracy of controlling the medicament adding amount, and saving energy consumption and operation cost. For the purposes of the present examples, the dosing agent information includes the type of agent to be dosed, the dry matter content and/or the dissolution concentration.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The embodiment of the present application also introduces an electronic apparatus from the perspective of a physical device, as shown in fig. 3, an electronic apparatus 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein processor 301 is coupled to memory 303, such as via bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 300 is not limited to the embodiment of the present application.

The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other Programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 302 may include a path that transfers information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.

The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.

The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.

Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.

Claims

1. An on-line excess sludge discharge control method is characterized by comprising

Acquiring equipment state information of online measuring equipment;

control displays the exception solution.

2. The method of claim 1, wherein determining an exception solution based on the keyword information comprises:

3. The method of claim 2, wherein the inputting the keyword information into a trained text network model for training further comprises:

4. The method of claim 1, further comprising:

5. The method of claim 4, wherein the logic cycle determining the measurement parameters to generate excess sludge discharge comprises:

6. The method of claim 1, further comprising:

judging whether the image information exists after the suspicious target personnel has preset warning time, wherein the preset warning time is the starting time of warning processing, if yes, generating early warning information, and simultaneously controlling warning equipment to output a warning signal in a preset mode;

7. The method of claim 6, wherein generating the early warning information further comprises:

8. An online excess sludge discharge control apparatus, comprising:

the state acquisition module is used for acquiring equipment state information of the online measurement equipment;

the state judgment module is used for judging whether the online measurement equipment is matched with a preset abnormal type or not according to the equipment state information;

and the control display module is used for controlling and displaying the exception solutions.

9. An electronic device, comprising:

at least one processor;

a memory;

at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: performing the on-line excess sludge discharge control method of any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized by causing a computer to execute the online excess sludge discharge control method of any one of claims 1 to 7 when the computer program is executed in the computer.