Unmanned operation and maintenance system and operation and maintenance method for automatic surface water monitoring station

Abstract

The invention discloses an unmanned operation and maintenance system and method for an automatic surface water monitoring station. The system comprises station building power equipment, station building environment equipment, station building security and protection equipment, a station building monitoring instrument, an in-station industrial control host and an unmanned operation and maintenance platform. According to the method, an inspection instruction is regularly pushed to an industrial control host through an automatic inspection strategy of an unmanned operation and maintenance platform; the industrial control host acquires the working state, real-time data and working parameters of the equipment in the station according to the inspection items; processing the abnormal condition according to the inspection requirement, and recording the processing result; pushing the collected inspection information and the exception handling result to an unmanned operation and maintenance platform; and the platform confirms whether each device in the station building works normally based on the received inspection information, sends an early warning prompt to a manager when the device is still abnormal, and generates an automatic inspection report. The problems of difficult process tracing, low working efficiency, high labor cost and the like in the operation and maintenance process of the automatic surface water monitoring station are effectively solved.

Description

TECHNICAL FIELD

[0001] The present application relates to an unmanned operation and maintenance system and method for a surface water automatic monitoring station, and belongs to the technical field of environmental monitoring, BACKGROUND

[0002] Automatic monitoring systems play a key role in the government's assessment of environmental protection responsibility targets, regional ecological compensation, pollutant emission limit management, and environmental risk monitoring and early warning. Traditional automatic monitoring stations have problems such as high reagent consumption, high waste liquid generation, low automation level of quality control, incomplete information collection, and imperfect equipment management and early warning mechanisms, which occupy a large amount of time and effort of operation and maintenance personnel. For example, under the traditional automatic monitoring station operation and maintenance mode, when networked data is abnormal, operation and maintenance personnel need to check the site to check if the equipment has failed; the quality control link is usually a post-mortem simulation of samples, which cannot trace the station house environment when data is abnormal; replacement of spare parts can only be done through the experience of operation and maintenance personnel or at fixed intervals.

[0003] Accelerating the establishment of a modern ecological environment monitoring system and promoting the digital and intelligent transformation of environmental monitoring have become an important goal in the current development of the environmental monitoring field. The state has also issued relevant policies to require the digital and intelligent operation and maintenance of automatic monitoring stations. In April 2024, the Ministry of Ecological Environment issued the "Implementation Opinion on Accelerating the Establishment of a Modern Ecological Environment Monitoring System", proposing to promote quality and efficiency. Promote the monitoring network to move from a quantity scale model to a quality performance model. Implement the intelligent transformation of national air and surface water automatic monitoring in batches, with the ability to automatically audit data effectiveness, intelligently identify personnel operation specifications, data tampering alarm and risk early warning human-computer interaction. The "unmanned", "intelligent", and "efficient" operation mode of automatic monitoring stations will become a trend. SUMMARY

[0004] The technical problem to be solved by the present application is the process traceability, low work efficiency, and high labor cost problems existing in the current operation and maintenance process of surface water monitoring stations.

[0005] In order to solve the above technical problems, the unmanned operation and maintenance system of the ground water automatic monitoring station of the present application comprises a station building power equipment unit, a station building environment equipment unit, a station building security equipment unit, a station building monitoring instrument unit, a station internal industrial control host and an unmanned operation and maintenance platform; at least a UPS, a three-phase voltage stabilizing power supply and an electric meter are arranged in the station building power equipment unit; at least a lighting system, a temperature and humidity sensor, a fresh air and dehumidification system and an air conditioner are arranged in the station building environment equipment unit; at least a video monitoring system, an access control system, an automatic fire extinguishing system and a water immersion sensor are arranged in the station building security equipment unit; at least a sampling instrument, a water quality analyzer, a reagent and a waste liquid weighing sensor and a quality control instrument are arranged in the station building monitoring instrument unit; the station internal industrial control host collects data of all equipment in the station building power equipment unit, the station building environment equipment unit, the station building security equipment unit and the station building monitoring instrument unit through various data ports and controls the on-site controllable equipment in linkage; the unmanned operation and maintenance platform provides remote operation and maintenance function applications based on the on-site data uploaded by the station internal industrial control host, and the operation and maintenance function applications comprise a station building VR panorama, a monitoring and early warning, a remote quality control, a linkage control strategy, an automatic inspection, an abnormal diagnosis, an operation and maintenance account book and a station building file module.

[0006] Further optimization of the above scheme, the station internal industrial control host is provided with a core operation and storage module, and the core operation and storage module comprises a fault diagnosis model, a quality control algorithm model and a spare part replacement algorithm model.

[0007] Further optimization of the above scheme, the fault diagnosis model judges data anomalies and fault causes caused by faults by classifying faults, constructing multiple serial decision trees and reconstructing the decision trees based on unsupervised learning; the quality control algorithm model is a multi-level multi-model fusion algorithm, and data anomaly identification is realized by threshold and gradient checking, Z-score method, seasonal decomposition and LSTM method in sequence; the spare part replacement algorithm model performs regression prediction based on basic parameters, environmental parameters and operation parameters of a specific scene, establishes a relationship model of consumption speed and influencing factors to predict the spare part replacement time.

[0008] Further optimization of the above scheme, in the fault diagnosis model, each new tree of the multiple serial decision trees is used to correct the error of the previous tree; in the quality control algorithm model, the LSTM method is used for deep analysis of suspicious data and important data sets to identify slow drift type hidden faults; the specific scene of the spare part replacement algorithm model includes spare part replacement, reagent replacement and waste liquid barrel replacement; the basic parameters include model number, production date and installation date, the environmental parameters include temperature, humidity and cleanliness, and the operation parameters include sampling frequency and quality control check deviation rate.

[0009] The operation and maintenance method of the unmanned operation and maintenance system of the ground water automatic monitoring station of the present application comprises the following steps,

[0010] Step one, set up automatic inspection strategy through unmanned operation and maintenance platform, the strategy contains inspection cycle, inspection equipment, inspection project and inspection requirement, and push inspection instruction to station industrial control host regularly;

[0011] Step two, after receiving inspection instruction, station industrial control host obtains working state, real-time data and working parameters of equipment in station power equipment unit, station environmental equipment unit, station security equipment unit and station monitoring instrument unit according to inspection project;

[0012] Step three, station industrial control host automatically processes abnormal situation not meeting operation and maintenance standard according to inspection requirement and records result;

[0013] Step four, station industrial control host pushes inspection information to unmanned operation and maintenance platform;

[0014] Step five, unmanned operation and maintenance platform confirms equipment state based on inspection information, issues early warning for abnormal situation and generates automatic inspection report.

[0015] Further optimization of the above scheme, the inspection cycle in step one is fixed date or fixed frequency; the inspection equipment is all equipment in station power equipment unit, station environmental equipment unit, station security equipment unit and station monitoring instrument unit; the inspection project contains station environment inspection, monitoring equipment inspection, instrument quality control, consumable inspection, reagent replacement and waste liquid treatment; the inspection requirement contains state or threshold definition of inspection result, pre-control instruction of unqualified situation.

[0016] Further optimization of the above scheme, the automatic processing in step three includes: when station temperature and humidity exceed threshold value, send working instruction to fresh air and dehumidification system or air conditioner until set condition is met; when water immersion alarm is detected, send working instruction to corresponding water pump until set condition is met; when door opening record or analyzer working parameter change is detected, call corresponding period video monitoring video and identify personnel intrusion type abnormal picture; when analyzer failure is detected, call corresponding period station environment information to analyze correlation between environment factor and failure; when analyzer long time data abnormality is detected, send quality control instruction to quality control instrument, and judge whether analyzer is faulty based on quality control result.

[0017] Further optimization of the above scheme, the automatic inspection report in step five contains inspection time, inspection equipment, inspection project, judgment standard, inspection result and abnormal processing result.

[0018] Further optimization of the above scheme, consumable remaining amount in consumable inspection is estimated through analyzer sample number and station environmental factor; reagent remaining amount and waste liquid barrel remaining amount in reagent replacement and waste liquid treatment are obtained through weight value conversion of weighing sensor.

[0019] Compared with the prior art, the present application has the following beneficial effects:

[0020] 1. The system automatically carries out daily station inspection work, realizes unmanned operation and inspection, significantly reduces operation and maintenance costs, remotely finds fault causes through a fault diagnosis model, reduces the frequency of manual on-site inspection, finds data anomaly problems through a quality control algorithm model, eliminates abnormal data, and improves data reliability, accurately predicts spare parts replacement time through a spare parts replacement model, and improves operation efficiency and operation quality.

[0021] 2. Through device linkage control and preset treatment strategies, not only can abnormal problems be found in time, but also problem processing can be automatically performed, greatly improving the intelligent level of the surface water station. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 is the structure architecture diagram of the unmanned operation and maintenance system of the surface water automatic monitoring station of the present application;

[0023] Figure 2 is the operation and maintenance method flow chart of the unmanned operation and maintenance system of the surface water automatic monitoring station of the present application. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings.

[0025] As shown in Figure 1 , the unmanned operation and maintenance system of the surface water automatic monitoring station comprises a station power equipment unit, a station environment equipment unit, a station security equipment unit, a station monitoring instrument unit, an in-station industrial control host and an unmanned operation and maintenance platform.

[0026] The station power equipment unit comprises UPS, three-phase voltage stabilizing power supply, electric meter and the like, and provides monitoring information such as station power supply and power failure.

[0027] The station environment equipment unit comprises light system, temperature and humidity sensor, fresh air and dehumidification system, air conditioner and the like, and provides monitoring information such as station internal temperature and humidity and environment equipment working state.

[0028] The station security equipment unit comprises video monitoring system, access control system, automatic fire extinguishing system, water immersion sensor and the like, and provides security monitoring information such as station internal video picture, door opening record and fire and water immersion alarm.

[0029] The station monitoring instrument unit comprises sampling instrument, water quality analyzer, reagent / waste liquid weighing sensor, quality control instrument and the like, and provides monitoring information such as surface water pollutant monitoring value, analyzer working state, working parameter, consumable consumption, quality control data and the like.

[0030] The station industrial host computer collects all industrial control equipment data of the station building through various data ports and controls the field controllable equipment, including a power module, an input and output module, a core operation and storage module, a software module, a display and operation module, a communication module, a case and structure module, and a heat dissipation module.

[0031] The core operation and storage module includes a plurality of unmanned operation and maintenance algorithm models, including a fault diagnosis model, a quality control algorithm model, and a spare part replacement algorithm model. The fault diagnosis model first classifies faults, constructs a decision tree for judging each type of fault, and serially constructs a plurality of decision trees. Based on an unsupervised learning process, the decision trees are reconstructed. Each new tree is committed to correcting the errors of the previous tree, so as to accurately determine whether the data anomaly is caused by a fault and the cause of the fault. The quality control algorithm model is a multi-level and multi-model fusion algorithm. Threshold / gradient checking is used to quickly eliminate obvious invalid values. The Z-score method is used to find abnormal values deviating from historical statistics. Seasonal decomposition is used to find data with strong periodicity, which can effectively distinguish between normal fluctuations and real anomalies. For suspicious data marked in the foregoing and important data sets, the LSTM method is used for deep analysis to identify more hidden faults, such as slow drift. The spare part replacement algorithm model is based on specific scenarios such as spare part replacement, reagent replacement, and waste liquid barrel replacement. By collecting basic parameters such as model, production date, and installation date; environmental parameters such as temperature, humidity, and cleanliness; and operating parameters such as sample making frequency and quality control deviation rate, a regression prediction is performed to establish a relationship model between consumption speed and influencing factors, and the spare part replacement time is accurately predicted.

[0032] In some embodiments, based on the monitoring data of the station building power equipment and instrument operating parameters, the fault diagnosis decision tree is used to find sudden value caused by sensor contamination and invalid value caused by power-off zero reset.

[0033] In some embodiments, the |X(t) - X(t-1)| > Δmax gradient algorithm is used to mark the sudden value and quickly identify data anomalies caused by sensor failure.

[0034] In some embodiments, a regression prediction method is used to establish the life curve of various spare parts and spare parts, and then estimate the service life of the spare parts and spare parts, as shown in the following table.

[0035] The unmanned operation and maintenance platform provides remote operation and maintenance function applications based on the field data uploaded by the industrial host computer, including station building VR panorama, monitoring and early warning, remote quality control, joint control strategy, automatic inspection, abnormal diagnosis, operation and maintenance account, station building archives, and the like.

[0036] As Figure 2 shown in the figure, the operation and maintenance method of the unmanned operation and maintenance system of the surface water automatic monitoring station includes the following steps:

[0037] Step 1: Set the automatic inspection strategy through the unmanned operation and maintenance platform. The strategy content includes inspection cycle, inspection equipment, inspection project and inspection requirement. According to the strategy content, the inspection instruction is regularly pushed to the station industrial control host.

[0038] Step 2: After receiving the automatic inspection instruction, the station industrial control host obtains the working state, real-time data and working parameters of the power equipment, environmental equipment, security equipment and monitoring instruments in the station according to the inspection project.

[0039] Step 3: The station industrial control host automatically processes the abnormal situation that does not meet the operation and maintenance standard according to the inspection requirement, and records the processing result.

[0040] Step 4: The station industrial control host pushes the inspection information such as equipment working state, real-time data, working parameters and abnormal processing result collected to the unmanned operation and maintenance platform.

[0041] Step 5: The unmanned operation and maintenance platform confirms whether each device in the station building is working normally based on the received inspection information, issues a warning reminder to the manager for the abnormal situation, and generates an automatic inspection report.

[0042] The automatic inspection strategy in step 1 includes inspection cycle, inspection equipment, inspection project and inspection requirement. The inspection cycle can be fixed date or fixed frequency. The inspection equipment includes all power equipment, environmental equipment, security equipment and monitoring instruments in the station building. The inspection project includes station building environment inspection, monitoring equipment inspection, instrument quality control, consumable inspection, reagent replacement, waste liquid treatment, etc. The inspection requirement is the definition of state or threshold for the inspection result, which judges whether it is qualified or not, and predefines the control instruction needed to be further executed for the unqualified situation.

[0043] Based on the above, some inspection project examples are listed in the following table:

[0044]

[0045] In some embodiments, it is required to upload the reagent remaining amount, waste liquid barrel remaining amount and consumable remaining amount. The reagent remaining amount and waste liquid barrel remaining amount can be converted according to the weight value measured by the weighing sensor. The remaining amount of other consumables can be estimated according to the analysis instrument sample number, station building environmental factors, etc.

[0046] Further, the station industrial control host in step 3 can process the inspection data abnormal situation according to the preset instruction.

[0047] In some embodiments, when the temperature / humidity in the station building exceeds the set threshold, the fresh air / desiccant system or air conditioning equipment will be instructed to work until the set conditions are met.

[0048] In some embodiments, when the water immersion alarm is detected at a specific location in the station building, the corresponding water pump will be instructed to work until the set conditions are met.

[0049] In some embodiments, when there are door opening records, analyzer parameter changes, etc., the video monitoring recording of this period will be retrieved, and the abnormal pictures such as personnel intrusion in the video will be identified.

[0050] In some embodiments, when the analyzer equipment fails, the temperature and humidity, water immersion, etc. in the station building during this period will be retrieved, and the correlation and influence of environmental factors and equipment failure will be analyzed.

[0051] In some embodiments, when the analyzer has long-term data anomalies, the quality control instrument will be instructed to perform quality control, and based on the quality control results, it will be determined whether the analyzer has failed.

[0052] After the automatic inspection task is completed, the operation and maintenance platform will generate an inspection report showing the inspection time, inspection equipment, inspection items, judgment criteria, inspection results, and abnormal processing results. If there are still abnormalities after the automatic disposal strategy is executed, the manager will be alerted.

Claims

1. An unmanned operation and maintenance system for a surface water automatic monitoring station, characterized in that: The station building power equipment unit, the station building environment equipment unit, the station building security equipment unit, the station building monitoring instrument unit, the station industrial control host and the unmanned operation and maintenance platform are included; at least UPS, three-phase stabilized power supply and electric meter are arranged in the station building power equipment unit; at least light system, temperature and humidity sensor, fresh air and dehumidification system and air conditioner are arranged in the station building environment equipment unit; at least video monitoring system, access control system, automatic fire extinguishing system and water immersion sensor are arranged in the station building security equipment unit; at least sampling instrument, water quality analyzer, reagent and waste liquid weighing sensor and quality control instrument are arranged in the station building monitoring instrument unit; the station industrial control host collects data of all equipment in the station building power equipment unit, the station building environment equipment unit, the station building security equipment unit and the station building monitoring instrument unit through various data ports and controls the field controllable equipment; the unmanned operation and maintenance platform provides remote operation and maintenance function application based on the field data uploaded by the station industrial control host, and the operation and maintenance function application includes station building VR panorama, monitoring and early warning, remote quality control, joint control strategy, automatic inspection, abnormal diagnosis, operation and maintenance account and station building file module.

2. The unmanned operation and maintenance system for the surface water automatic monitoring station according to claim 1, characterized in that: The core operation and storage module is arranged in the station industrial control host, and the core operation and storage module includes fault diagnosis model, quality control algorithm model and spare part replacement algorithm model.

3. The unmanned operation and maintenance system for the surface water automatic monitoring station according to claim 2, characterized in that: The fault diagnosis model judges data anomaly caused by fault and fault reason by fault classification, construction of multiple serial decision trees and reconstruction of decision trees based on unsupervised learning; the quality control algorithm model is a multi-level multi-model fusion algorithm, and data anomaly identification is realized by threshold and gradient check, Z-score method, seasonal decomposition and LSTM method; the spare part replacement algorithm model performs regression prediction based on basic parameters, environmental parameters and operation parameters of specific scenes, establishes a relationship model of consumption speed and influencing factors to predict spare part replacement time.

4. The unmanned operation and maintenance system for the surface water automatic monitoring station according to claim 3, characterized in that: In the fault diagnosis model, each new tree of the multiple serial decision trees is used to correct the error of the previous tree; in the quality control algorithm model, the LSTM method is used for deep analysis of suspicious data and important data sets to identify slow drift type hidden faults; the specific scenes of the spare part replacement algorithm model include spare part replacement, reagent replacement and waste liquid barrel replacement; the basic parameters include model number, production date and installation date, the environmental parameters include temperature, humidity and cleanliness, and the operation parameters include sample making frequency and quality control check deviation rate.

5. The operation and maintenance method of the unmanned operation and maintenance system of the surface water automatic monitoring station, characterized in that: The steps include, Step one, an automatic inspection strategy is set through the unmanned operation and maintenance platform, the strategy includes inspection cycle, inspection equipment, inspection project and inspection requirement, and inspection instructions are pushed to the station industrial control host regularly; Step two, after receiving the inspection instructions, the station industrial control host obtains working state, real-time data and working parameters of equipment in the station building power equipment unit, the station building environment equipment unit, the station building security equipment unit and the station building monitoring instrument unit according to the inspection project; Step three, the station industrial control host automatically processes and records the results of abnormal conditions that do not meet the operation and maintenance standard according to the inspection requirement. Step four, the station industrial host pushes the inspection information to the unmanned operation platform; Step five, the unmanned operation platform confirms the device state based on the inspection information, issues a warning for abnormal conditions and generates an automatic inspection report.

6. The operation and maintenance method of the unmanned operation and maintenance system of the surface water automatic monitoring station according to claim 5, characterized in that: The inspection cycle in step one is a fixed date or a fixed frequency; the inspection device is all the devices in the station power equipment unit, station environment equipment unit, station security equipment unit and station monitoring instrument unit; the inspection project includes station environment inspection, monitoring device inspection, instrument quality control, consumable inspection, reagent replacement and waste liquid treatment; The inspection requirements include the state or threshold definition of the inspection results, and the preset control instructions for unqualified conditions.

7. The operation and maintenance method of the unmanned operation and maintenance system of the surface water automatic monitoring station according to claim 5, characterized in that: The automatic processing in step three includes, when the station temperature and humidity exceed the threshold, issuing a work instruction to the fresh air and dehumidification system or air conditioner until the set conditions are met; when water immersion alarm is detected, issuing a work instruction to the corresponding water pump until the set conditions are met; when door opening record or analyzer working parameter change is detected, calling the corresponding period of video monitoring video and identifying personnel intrusion type abnormal picture; When the analyzer fails, the corresponding period of station environment information is called to analyze the correlation between environmental factors and failure; When the analyzer detects long-term data anomaly, the quality control instrument is issued a quality control instruction, and whether the analyzer is faulty is determined based on the quality control result.

8. The operation and maintenance method of the unmanned operation and maintenance system of the surface water automatic monitoring station according to claim 5, characterized in that: The automatic inspection report in step five includes inspection time, inspection device, inspection project, judgment standard, inspection result and abnormal processing result.

9. The operation and maintenance method of the unmanned operation and maintenance system of the surface water automatic monitoring station according to claim 6, characterized in that: The consumable inspection estimates the consumable remaining amount by the number of analyzer samples and the station environmental factors; the reagent replacement and waste liquid treatment obtain the reagent remaining amount and the waste liquid barrel remaining amount by converting the weight value of the weighing sensor.

Images