阅读说明：本技术 一种污水处理厂的远程集控方法与系统 (Remote centralized control method and system for sewage treatment plant ) 是由 单宁 马为卿 葛玫 谢旻 喻盛华 许新灵 于 2020-06-16 设计创作，主要内容包括：本发明涉及一种污水处理厂的远程集控方法与系统,属于污水处理与物联网、互联网相融合的技术领域。该方法包括：(1)接收污水处理厂的异常监测数据；(2)向目标指令获取单元发送异常处理请求；(3)接收响应于异常处理请求的控制指令,用于控制布设在污水处理厂内的指令执行单元工作,以对当前异常问题进行处理；并从控制指令中筛选出目标控制指令；(4)将目标控制指令发送给当前异常监测数据所属污水处理厂的厂控平台。基于多个异地污水处理厂所构成的网络而能有效应对部分应急性问题,尤其能有效解决在发生新冠状病毒等突发事件等所导致当前污水处理厂相应技术人员无法到场进行应急处理的问题,可广泛用于污水处理厂等领域。(The invention relates to a remote centralized control method and system for a sewage treatment plant, and belongs to the technical field of integration of sewage treatment, Internet of things and Internet. The method comprises the following steps: (1) receiving abnormal monitoring data of a sewage treatment plant; (2) sending an exception handling request to a target instruction acquisition unit; (3) receiving a control instruction responding to the exception handling request, and controlling an instruction execution unit arranged in a sewage treatment plant to work so as to handle the current exception problem; screening a target control instruction from the control instructions; (4) and sending the target control instruction to a plant control platform of the sewage treatment plant to which the current abnormal monitoring data belongs. The emergency treatment system can effectively deal with part of emergency problems based on a network formed by a plurality of remote sewage treatment plants, particularly can effectively solve the problem that corresponding technicians of the current sewage treatment plants cannot meet the requirements for emergency treatment due to emergencies such as new coronavirus and the like, and can be widely applied to the fields of sewage treatment plants and the like.)

1. A remote centralized control system of a sewage treatment plant is based on the sewage treatment plants arranged in a plurality of different-place cities, and each different-place city is at least provided with one sewage treatment plant, and is characterized in that:

the remote centralized control system comprises a centralized control platform and a plant control platform for monitoring the running state of each sewage treatment plant; the plant control platform comprises a plant control unit, a monitoring unit controlled by the plant control unit, a first instruction acquisition unit and an instruction execution unit;

the monitoring unit is used for monitoring a sewage treatment process and sending monitoring data to the plant control unit; the first instruction acquisition unit is used for acquiring a first control instruction after receiving the monitoring data or the abnormal processing request of other plants; the plant control unit controls the execution unit to control the sewage treatment process based on the received control instruction;

the centralized control platform comprises a centralized control unit and a second instruction acquisition unit controlled by the centralized control unit, wherein the second instruction acquisition unit is used for acquiring a second control instruction after receiving the exception handling request;

and the centralized control unit sends an exception handling request to the target instruction acquisition unit after receiving the exception handling request sent by the plant control unit, acquires a target control instruction from the received control instruction and then sends the target plant control unit.

2. The remote centralized control system of claim 1, wherein:

the instruction acquisition unit comprises a display for displaying the abnormality monitoring data and an input peripheral for inputting the control instruction.

3. The remote centralized control system according to claim 1 or 2, wherein:

the centralized control unit identifies the absence category in the technical personnel categories required for processing the preset abnormal processing request after receiving the current value data of the technical personnel sent by each platform, and sends current value supplement prompts to the platforms to which the technical personnel belong in the standby personnel list data according to the standby personnel list data of different technical personnel categories.

4. A remote centralized control system according to any one of claims 1 to 3, wherein:

the centralized control unit is integrated with an exception handling model which is trained in advance, and the exception handling model is used for acquiring a preliminary control instruction aiming at current exception monitoring data based on the exception monitoring data sent by the plant control platform; and the exception handling request sent by the centralized control unit to the target instruction acquisition unit comprises exception monitoring data and the preliminary control instruction.

5. The remote centralized control system of claim 4, wherein:

after receiving the abnormal monitoring data, the centralized control unit judges whether the current abnormality is a first-class abnormality or a second-class abnormality based on the abnormal monitoring data by using an abnormal classification model;

the step of obtaining training samples for training the anomaly classification model comprises the steps of: (1) the centralized control unit sends exception handling requests to a plurality of target instruction acquisition units; (2) after receiving an exception handling request containing the preliminary control instruction, the target instruction acquisition unit displays exception monitoring data and the preliminary control instruction aiming at the exception monitoring data on a display of the target instruction acquisition unit, and receives modification aiming at the preliminary control instruction and grading of problem solving accuracy of the preliminary control instruction through an input peripheral; (3) after the modification and the grading are obtained, the target instruction obtaining units send the grading and a modified preliminary control instruction serving as a control instruction to the centralized control unit; (4) the centralized control unit receives the scores, if the average value of all the scores is greater than a first preset threshold value, the current abnormity targeted by the current abnormity monitoring data is marked as a first type of abnormity, and otherwise, the current abnormity is marked as a second type of abnormity;

if the identification result of the exception classification model indicates that the current exception is a first-class exception, the primary control instruction output by the exception handling model is sent to the target plant control unit, and after the control instruction for the current exception is received, if the score of the control instruction is lower than a second preset threshold value, the control instruction is sent again to correct the sent primary control instruction, otherwise, the control instruction is not sent again; and if the identification result of the exception classification model indicates that the current exception is the second-class exception, the exception handling request sent to the target instruction acquisition unit comprises an identifier for calibrating the current preliminary control instruction to be low in accuracy.

6. The remote centralized control system according to any one of claims 1 to 5, wherein:

the target control instruction is a control instruction which responds to a current exception handling request and is received earliest by the centralized control unit;

the target instruction acquisition unit is an instruction acquisition unit outside an instruction acquisition unit of a factory to which the current exception handling request belongs; or the target instruction acquisition unit is outside the instruction acquisition unit of the plant to which the current exception handling request belongs and meets the first requirement;

the first requirement is according to the current value data of technicians in the current day, the platform of the factory to which the target instruction acquisition unit belongs has the current value of the target technicians, and the target technicians are technicians with corresponding abnormal problem processing experience records.

7. A remote centralized control method of a sewage treatment plant is based on the sewage treatment plants which are arranged in a plurality of remote cities and are communicated with each other in a network, wherein each remote city is at least provided with one sewage treatment plant; the remote centralized control method is characterized by comprising the following steps:

a request receiving step of receiving abnormal monitoring data acquired by monitoring units arranged at sewage treatment plants;

a request sending step, namely sending an exception handling request to a target instruction acquisition unit, wherein the target instruction acquisition unit is arranged on a centralized control platform and plant control platforms of various sewage treatment plants;

receiving a screening step, namely receiving a control instruction responding to the exception handling request, wherein the control instruction is used for controlling an instruction execution unit arranged in a sewage treatment plant to work so as to handle the exception problem represented by the current exception monitoring data; screening out a target control instruction from the control instructions;

and an instruction sending step, namely sending the target control instruction to a plant control platform of the sewage treatment plant to which the current abnormal monitoring data belongs.

8. The remote centralized control method of claim 7, wherein:

the target control instruction is a control instruction which responds to the current exception handling request and is received earliest;

the target instruction acquisition unit is an instruction acquisition unit outside an instruction acquisition unit of a plant to which the current exception handling request belongs, or the target instruction acquisition unit is an instruction acquisition unit outside the instruction acquisition unit of the plant to which the current exception handling request belongs and meeting a first requirement;

the first requirement is according to the current value data of technicians in the current day, the platform of the factory to which the target instruction acquisition unit belongs has the current value of the target technicians, and the target technicians are technicians with corresponding abnormal problem processing experience records.

9. The remote centralized control method according to claim 7 or 8, characterized in that the remote centralized control method comprises a reminding step of:

and identifying the absence category in the technician types required for processing the preset abnormal processing request according to the received current technician current value data at each platform, and sending current value supplement prompts to the platforms of the factories to which the technicians belong in the spare staff list data according to the spare staff list data of different technician types.

10. The remote centralized control method according to any one of claims 7 to 9, characterized in that it comprises a preprocessing step of:

after receiving the abnormal monitoring data, acquiring a preliminary control instruction aiming at the abnormal monitoring data by using an abnormal processing model which is trained in advance, wherein an abnormal processing request sent to the target instruction acquisition unit comprises the preliminary control instruction.

Technical Field

The invention relates to the technical field of integration of a sewage treatment technology and an Internet of things, artificial intelligence and Internet technology, in particular to a remote centralized control method and a remote centralized control system for sewage treatment plants based on multiple remote city arrangements.

Background

With the increasing speed of urbanization and industrialization, the discharge amount of municipal sewage and industrial sewage is increasing, and in order to avoid the damage of the increasing sewage to the environment, the most effective and direct measure is to construct a sewage treatment plant according to local conditions so as to treat the sewage nearby, and discharge the treated water meeting the discharge standard into the nature.

In the process of sewage treatment, emergency events usually occur and need to be timely treated by professional staff; for example, in the biological treatment process of sewage, when the temperature, PH, heavy metals or other toxic substance concentration of the imported sewage are mutated, the treatment system of the sewage treatment plant is disordered and failed, even if the relevant indexes are recovered to be normal, the treatment capacity of the sewage treatment system cannot be recovered due to the loss of original flora and the like, and the drainage cannot reach the standard directly; at the moment, the sewage treatment amount needs to be manually adjusted, relevant process parameters need to be adjusted, and emergency feeding needs to be manually carried out; under normal circumstances, the emergency problems can be well solved, but in the case of an emergency, the emergency is difficult to be treated in time due to the fact that professionals cannot reach the scene in time or insufficient personnel exist, for example, a novel coronavirus (2019-nCoV) which is outbreaked before and after the spring festival in this year makes part of sewage treatment plants have great challenges in stable operation due to insufficient personnel and technical strength.

In order to solve the problems, a remote monitoring system can be constructed in the sewage treatment industry based on the current mature automation technology, the internet of things technology and the internet technology, the remote monitoring system mainly comprises a remote monitoring platform, a monitoring device and an execution device, the monitoring device usually comprises various pollutant index sensors, various treatment process control index sensors, a camera and the like, the execution device usually comprises an automatic feeding device, a process adjusting device, a control valve of a water inlet and/or a water outlet and the like, for example, the technical schemes disclosed by patent documents with publication numbers of CN110119105A, CN109739176A and the like mainly relate to the generation of communication and related control instructions among the monitoring platform, the monitoring device and the execution device; in the existing remote monitoring platform, automatic control equipment such as automatic feeding equipment for strains and the like is usually involved, and feeding can not be timely carried out when an automatic execution device breaks down because the requirement of on-site-to-manual feeding is ignored.

In addition, for the technical problem that the related control command needs to be made by professionals, the related control command can be automatically generated by combining an artificial intelligence technology, for example, the technical scheme disclosed by patent documents with publication numbers of CN110456754A, CN110347133A and the like, the specific scheme is that corresponding operation data and water treatment progress indexes are acquired by monitoring devices such as sensors and the like arranged in a sewage treatment plant, after the monitoring data are acquired by a remote monitoring platform through a communication technology, the monitoring data are analyzed based on a pre-trained treatment model to generate the control command, and the generated control command is sent to an execution controller arranged in a sewage treatment site through the remote communication technology so as to control the on-site sewage treatment device to perform corresponding treatment work. Based on the combination of the remote monitoring technology and the artificial intelligence technology, the problem that the existing remote monitoring platform needs to be judged based on experience of skilled operators can be effectively solved, and particularly the emergency problem can be timely treated.

In the prior art, the conventional emergency problem can be well handled through the control instruction generated by artificial intelligence, and when the complex problem, the new problem and the problem which is greatly different from the conventional training problem sample exist, the control instruction still needs to be made through technical personnel or experts with operation experience; however, when an emergency such as the above-mentioned new coronavirus (2019-nCoV) seriously affects life and production occurs, a corresponding technician or specialist may be absent, and thus the related emergency problem cannot be dealt with timely and effectively.

Disclosure of Invention

The invention mainly aims to provide a remote centralized control system of a sewage treatment plant, which can effectively solve the problem that corresponding technicians of the current sewage treatment plant cannot arrive at the site for emergency treatment due to the occurrence of an emergency and the like;

the invention also aims to provide a remote centralized control method for the sewage treatment plant, which can effectively solve the problem that corresponding technicians of the current sewage treatment plant cannot meet the emergency treatment due to emergencies and the like.

In order to achieve the main purpose, the remote centralized control system of the sewage treatment plant provided by the invention is based on the sewage treatment plants arranged in a plurality of different-place cities, and each different-place city is provided with at least one sewage treatment plant; the remote centralized control system comprises a centralized control platform and a plant control platform for monitoring the running state of each sewage treatment plant; the plant control platform comprises a plant control unit, a monitoring unit controlled by the plant control unit, a first instruction acquisition unit and an instruction execution unit; the monitoring unit is used for monitoring the sewage treatment process and sending monitoring data to the plant control unit; the first instruction acquisition unit is used for acquiring a first control instruction after receiving monitoring data or other plant exception handling requests; the plant control unit controls the execution unit to control the sewage treatment process based on the received control instruction; the centralized control platform comprises a centralized control unit and a second instruction acquisition unit controlled by the centralized control unit, wherein the second instruction acquisition unit is used for acquiring a second control instruction after receiving the exception handling request; after receiving the exception handling request sent by the plant control unit, the centralized control unit sends the exception handling request to the target instruction obtaining unit, obtains a target control instruction from the received control instruction, and then sends the target plant control unit.

The sewage treatment plants distributed in a plurality of different places cities are communicated and networked, and the centralized control platform is used for solving the abnormal problems, so as to utilize the complementary performance of different platforms when technicians are qualified, thereby when emergencies such as novel coronavirus occur, based on a network constructed by a plurality of sewage treatment plants as described above, to be able to mutually utilize an indispensable resource of a technician, in the face of emergency problems, more than one platform in the sewage treatment plants is required to have corresponding technicians, compared with independently operating sewage treatment plants, the configuration requirements of skilled technicians or professionals can be effectively reduced, the problem that corresponding technicians of the current sewage treatment plant cannot carry out emergency treatment on the spot due to the occurrence of an emergency and the like can be effectively solved, and some emergency problems can be effectively solved; in addition, when the non-emergency happens, a group of technicians can be correspondingly configured in the whole network to maintain the effective operation of the whole network, so that the operation cost of the sewage treatment plant can be effectively reduced.

The specific scheme is that the instruction acquisition unit comprises a display for displaying the abnormality monitoring data and an input peripheral for inputting the control instruction.

The preferred scheme is that the centralized control unit identifies the absent type in the technical personnel types required for processing the preset exception handling request after receiving the current value data of the technical personnel sent by each platform, and sends the current value supplement prompt to the platform to which the technical personnel in the spare personnel name data belong according to the spare personnel list data of different technical personnel types. The method effectively ensures that different preset abnormal treatment problems have the same value as a group of technicians, thereby ensuring the normal operation of the sewage treatment plants.

The preferred scheme is that an exception handling model which is trained in advance is integrated in the centralized control unit, and the exception handling model is used for acquiring a preliminary control instruction aiming at current exception monitoring data based on the exception monitoring data sent by the plant control platform; the central control unit sends an exception handling request to the target instruction acquisition unit, wherein the exception handling request comprises exception monitoring data and a preliminary control instruction. Related technicians or experts can modify, add and delete the pre-generated preliminary control instruction, and the efficiency of acquiring the control instruction is effectively improved.

After receiving the abnormal monitoring data, the centralized control unit judges whether the current abnormality is a first-class abnormality or a second-class abnormality based on the abnormal monitoring data by using an abnormal classification model; the step of acquiring training samples for training the abnormality classification model includes the steps of: (1) the centralized control unit sends an exception handling request to the target instruction acquisition units; (2) after receiving an exception handling request containing a preliminary control instruction, a target instruction acquisition unit displays exception monitoring data and the preliminary control instruction aiming at the exception monitoring data on a display of the target instruction acquisition unit, and receives modification aiming at the preliminary control instruction and grading of problem solving accuracy of the preliminary control instruction through an input peripheral; (3) after the multiple target instruction acquisition units acquire modification and grading, the grading and the modified preliminary control instructions are used as control instructions and sent to the centralized control unit; (4) the centralized control unit receives the scores, if the average value of all the scores is larger than a first preset threshold value, the current abnormity targeted by the current abnormity monitoring data is calibrated to be a first type of abnormity, and otherwise, the current abnormity is calibrated to be a second type of abnormity; if the identification result of the classification model indicates that the current anomaly is a first-class anomaly, the initial control instruction output by the anomaly handling model is sent to the target plant control unit, and after the control instruction aiming at the current anomaly is received, if the score of the control instruction is lower than a second preset threshold value, the control instruction is sent again to correct the sent initial control instruction, otherwise, the control instruction is not sent again; and if the identification result of the classification model indicates that the current exception is the second-class exception, the exception handling request sent to the target instruction acquisition unit comprises an identifier for calibrating the current preliminary control instruction to be low in accuracy. According to the technical scheme, the abnormity represented by the current abnormity monitoring data is classified based on the abnormity classification model, so that the abnormity coping speed and the abnormity coping accuracy can be effectively improved.

The preferred scheme is that the target control instruction is a control instruction which responds to the current exception handling request and is received by the centralized control unit earliest; the target instruction acquisition unit is an instruction acquisition unit outside an instruction acquisition unit of a plant to which the current exception handling request belongs, or the target instruction acquisition unit is an instruction acquisition unit outside the instruction acquisition unit of the plant to which the current exception handling request belongs and meeting a first requirement; the first requirement is that according to the current value data of technicians in the current day, the platform of the factory to which the target instruction acquisition unit belongs has the current value of the target technicians, and the target technicians are technicians with corresponding abnormal problem processing experience records.

In order to achieve the other purpose, the remote centralized control method for the sewage treatment plant provided by the invention is based on the sewage treatment plants which are arranged in a plurality of different-place cities and are communicated with each other in a networking manner, and each different-place city is provided with at least one sewage treatment plant; the remote centralized control method comprises the following steps:

a request receiving step of receiving abnormal monitoring data acquired by monitoring units at a distributed sewage treatment plant;

a request sending step, namely sending an exception handling request to a target instruction acquisition unit, wherein the target instruction acquisition unit is arranged on a centralized control platform and plant control platforms of various sewage treatment plants;

receiving a screening step, namely receiving a control instruction responding to an exception handling request, wherein the control instruction is used for controlling an instruction execution unit arranged in a sewage treatment plant to work so as to handle the exception problem represented by the current exception monitoring data; screening a target control instruction from the control instructions;

and an instruction sending step, namely sending the target control instruction to a plant control platform of the sewage treatment plant to which the current abnormal monitoring data belongs.

The sewage treatment plants distributed in a plurality of different places cities are communicated and networked, and the centralized control platform is used for distributing abnormal problem solution so as to utilize the complementary performance of current technicians of different platforms, thereby effectively solving some emergency problems when emergencies such as novel coronavirus occur and ensuring the stable operation and standard discharge of the sewage treatment plants; in addition, in the network constructed by the plurality of sewage treatment plants, only one group of technicians can solve different problems, so that the configuration requirements of skilled technicians or experts can be effectively reduced, and the operation cost of the sewage treatment plants can be effectively reduced; the problem that corresponding technicians of the current sewage treatment plant cannot perform emergency treatment on the spot due to emergencies and the like can be effectively solved.

The specific scheme is that the target control instruction is a control instruction which responds to the current exception handling request and is received earliest; the target instruction acquisition unit is an instruction acquisition unit outside an instruction acquisition unit of a plant to which the current exception handling request belongs, or the target instruction acquisition unit is an instruction acquisition unit outside the instruction acquisition unit of the plant to which the current exception handling request belongs and meeting a first requirement; the first requirement is that according to the current value data of technicians in the current day, the platform of the factory to which the target instruction acquisition unit belongs has the current value of the target technicians, and the target technicians are technicians with corresponding abnormal problem processing experience records.

The preferable scheme is that the remote centralized control method comprises the following reminding steps: and identifying the absent type in the technical personnel types required for processing the preset abnormal processing request according to the received current technician current value data at each platform, and sending current value supplement prompts to the platforms of the factories to which the technicians belong in the standby personnel list data according to the standby personnel list data of different technical personnel types.

The preferable scheme is that the remote centralized control method comprises the following pretreatment steps: after receiving the abnormal monitoring data, acquiring a preliminary control instruction aiming at the abnormal monitoring data by using an abnormal processing model which is trained in advance, wherein an abnormal processing request sent to a target instruction acquisition unit comprises the preliminary control instruction.

Drawings

Fig. 1 is a flowchart of a remote centralized control method according to embodiment 1 of the present invention;

fig. 2 is a schematic system diagram of a remote centralized control system in embodiment 1 of the present invention;

fig. 3 is a flowchart of a remote centralized control method in embodiment 2 of the present invention.

Detailed Description

The invention is further illustrated by the following examples and figures.