CN114565273A - Method and system for quickly diagnosing and evaluating operation condition of drainage pipe network system - Google Patents

Method and system for quickly diagnosing and evaluating operation condition of drainage pipe network system Download PDF

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CN114565273A
CN114565273A CN202210188100.6A CN202210188100A CN114565273A CN 114565273 A CN114565273 A CN 114565273A CN 202210188100 A CN202210188100 A CN 202210188100A CN 114565273 A CN114565273 A CN 114565273A
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water
rainwater
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mixed
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孟莹莹
宋瑞宁
赵天明
谢芳
元慕田
蒋博峰
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Beijing Enterprises Water China Investment Co Ltd
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Abstract

The invention relates to a method and a system for quickly diagnosing and evaluating the operation condition of a drainage pipe network system. In addition, the method in the prior art is mostly suitable for diagnosing the defects of the pipe network, and the technical scheme provided by the invention not only can utilize limited on-site investigation information to diagnose the defects of the pipe network, but also is suitable for evaluating the operating conditions of different pipe networks such as sewage, rainwater, confluence and the like, the operating conditions of a plant network system, the matching performance of the plant network system and the like.

Description

Method and system for quickly diagnosing and evaluating operation condition of drainage pipe network system
Technical Field
The invention relates to the field of municipal environmental protection, in particular to a method and a system for quickly diagnosing and evaluating the operation condition of a drainage pipe network system.
Background
With the rapid advancement of urbanization, the urban planning and construction have the defects of 'heavy ground, light underground', 'heavy face and light lining', so that invisible and untouchable underground hidden projects such as drainage pipe networks become good worries for examining cities. Due to the lag of infrastructure construction, the drainage system is more in debt. Although informatization and intelligent water affair work is rapidly promoted in recent years, some cities establish municipal drainage pipe network information management systems and can realize management, investigation and monitoring of drainage pipe networks, more cities generally do not establish drainage pipe network databases, pipe network information is still scattered, and great difficulty is caused for rapid diagnosis and evaluation of operation conditions of pipe network systems.
The prior art provides methods such as television inspection, sonar inspection, pipeline periscope inspection, traditional methods of inspection (e.g., visual, simple tool, diving inspection), and the like. The methods are relatively high in cost and long in period, depend on hardware means, are usually suitable for work such as pipe network general survey once in a few years, and have low efficiency on short-term and large-scale pipe network diagnosis and evaluation.
Disclosure of Invention
The invention aims to provide a method and a system for diagnosing and evaluating the operation condition of a drainage pipe network system, which solve the problems that the existing method for diagnosing and evaluating the operation condition of the drainage pipe network system depends on a hardware means and the evaluation efficiency is low.
According to a first aspect of the embodiments of the present invention, there is provided a method for diagnosing and evaluating an operation condition of a drainage pipe network system, including:
the method for diagnosing and evaluating the operation condition of the sewage system is used for judging whether the water source composition of a sewage well is normal or other sewage sources are mixed; judging whether the sewage system has rainwater access and the access degree; judging whether river and lake water is mixed in the sewage system or not and the mixing degree of the river and lake water;
the rainwater system operation condition diagnosis and evaluation method is used for judging whether the rainwater well water source composition is normal or other sewage sources are mixed; judging whether sewage mixed misconnection exists in the rainwater system and the mixed misconnection degree exists; judging the degree of mixing of external water in the rainwater system;
the pipe network operation defect diagnosis and evaluation method is used for diagnosing and evaluating the probability of the pipe network operation defects;
the plant network system operation condition diagnosis and evaluation method is used for diagnosing and evaluating the system operation condition according to the principle of water quantity and load balance of the plant network system;
the matching performance diagnosis and evaluation method of the plant network system is used for evaluating the matching performance of the plant network system according to preset sewage treatment evaluation indexes.
Preferably, the determining whether the composition of the sewer well water source is normal or other sewage sources are mixed comprises:
and when only the data of the dry day exists, judging the water level of the sewage well under the dry-day operation condition, wherein the water level comprises: normal water level and high water level;
under the normal water level, if the concentration of the ammonia nitrogen pollutants is more than 10mg/L, judging that the composition of the water source of the sewage well is normal; if the concentration of the ammonia nitrogen pollutant is less than or equal to 10mg/L, judging that other sewage sources are mixed into the sewage well water source, and the method comprises the following steps:
river and lake water, underground water and construction drainage;
under a high water level, if the concentration of the ammonia nitrogen pollutants is more than 10mg/L, judging that the water source composition of the sewage well is normal;
if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L and the difference between the concentration of the ammonia nitrogen pollutants and the water level water quality of the adjacent catch basin is not obvious, judging that rain and sewage mixed connection or communication exists; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, the concentration of the ammonia nitrogen pollutants is obviously different from the water level and the water quality of the adjacent catch basin, and the concentration of the ammonia nitrogen pollutants is not obviously different from the water level and the water quality of the tail end sewage treatment system, the method judges that other sewage sources are mixed into the water source of the sewage well, and comprises the following steps: river and lake water, underground water and construction drainage; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, the difference between the concentration of the ammonia nitrogen pollutants and the water quality of the water level of the adjacent catch basin is obvious, and the difference between the concentration of the ammonia nitrogen pollutants and the water quality of the water level of the adjacent catch basin is larger than that of the tail end sewage treatment system, judging that the sewage system is seriously deposited;
sampling the sewage well when the data of the dry weather and the rainy weather exist, and judging that rainwater is possibly connected into the water source of the sewage well if the TN concentration change rate of the sampling is more than 20%; and if the TN concentration change rate of the sample is less than or equal to 20%, judging that the water source composition of the sewage well is normal.
Preferably, the judging whether the sewage system has rainwater access and access degree includes: judging whether rainwater is connected according to the correlation between the daily rainfall and the daily running water quantity of a sewage pump station or a sewage treatment plant; or judging whether rainwater is connected according to the correlation between the daily rainfall and the ammonia nitrogen concentration of the daily inlet water of a sewage pump station or a sewage treatment plant; or, performing t-test analysis according to weather data and daily water inflow data recorded by a sewage plant or a sewage pump station to judge whether rainwater is accessed;
and judging the rainwater access degree according to the daily inflow water quantity of the sewage system under the conditions of dry days and rainy days.
Preferably, the judging whether the sewage system is mixed with river and lake water and the mixing degree comprises the following steps:
judging according to the comparison of municipal pipeline concentration, sewage pump station concentration, sewage plant concentration and surface water concentration under the dry weather condition, and if the pump station concentration/sewage plant concentration is lower than 1/2 of the average pipeline concentration or the difference between the pump station concentration and the surface water concentration is within 20%, judging that river and lake water possibly enter the sewage system;
and calculating the mixing degree of the river and lake water according to a water quantity balance method and a pollution load balance method.
Preferably, the judging whether the rainwater well water source composition is normal or other sewage sources are mixed includes:
when only data of dry weather exist, the water level of the catch basin under the dry weather operation condition is judged, and the water level comprises: normal water level and high water level;
under the normal water level, if the concentration of the ammonia nitrogen pollutants is more than 10mg/L, judging that sewage mixed connection exists; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L and no obvious water flow exists in dry days, judging that the composition of the rainwater well water source is normal; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L and water flow exists in the dry land, judging that other sewage sources are mixed in the rainwater well water source, and the method comprises the following steps: river and lake water, underground water and construction drainage;
under a high water level, if the water quality is not obviously different from that of an adjacent sewage well, judging that rain and sewage communication exists; if the water quality is obviously different from that of the adjacent sewage well and the concentration of the ammonia nitrogen pollutant is more than 10mg/L, judging that sewage mixed connection exists; if the water quality is obviously different from that of the adjacent sewage well, the concentration of the ammonia nitrogen pollutant is less than or equal to 10mg/L, and the water quality is not obviously different from that of the terminal rainwater system, other sewage sources are judged to be mixed, including: river and lake water, underground water and construction drainage; if the difference between the water quality of the rainwater system and the water quality of an adjacent sewage well is obvious, the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, and the difference between the water quality of the rainwater system and the water quality of a terminal rainwater system is large, the rainwater system is judged to be seriously deposited.
Preferably, the judging whether the rainwater system has the mixed misconnection of sewage and the mixed misconnection degree includes:
if continuous water flow exists at the tail end of the dry-weather rainwater system and the water quality concentration is similar to that of the sewage system, judging that sewage mixed misconnection exists; if there is continuous rivers and quality of water concentration is similar with the surface water at the dry day rainwater system end, then judge that there is other sewage sources to mix into, include: river and lake water, underground water and construction drainage; if the terminal of the rainwater system in the dry weather has no continuous water flow, judging that the rainwater system has no mixed misconnection;
representing the sewage mixed misconnection degree by using the mixed misconnection density or the mixed misconnection water quantity ratio; wherein the misconnection density is the ratio of the number of the misconnection points of the sewage in the rainwater pipeline to the total number of the rainwater wells to be investigated; the mixed and staggered water receiving quantity ratio is the ratio of the total sewage quantity in the rainwater system obtained by investigation to the total sewage yield of the investigated area.
Preferably, the judging the degree of mixing of external water into the rainwater system includes:
the method comprises the following steps of (1) representing the mixing degree of external water by using the ratio of the water inflow of a dry-land rainwater pumping station to the total volume of a rainwater pipeline through a rainwater system discharged by the rainwater pumping station; the self-flowing drainage system without a rainwater pump station represents the external water mixing degree by dividing the water storage capacity of a dry-land rainwater system by the total volume of a pipeline; the outer water comprises: river and lake water, underground water and construction drainage.
Preferably, the diagnosing and evaluating the system operation condition according to the principle of water quantity and load balance of the plant network system comprises:
calculating based on the relation between the water quantity in the instantaneous state and the load balance to obtain the collected water quantity of the sewage and the water quantity of the external water mixed into the sewage system;
based on the diagnosis and evaluation of the long-sequence operation effect of the system, long-sequence operation parameters of the plant network system are evaluated, wherein the long-sequence operation parameters comprise: annual overflow frequency, overflow quantity, overflow pollution load and cutoff multiple.
Preferably, the evaluating the matching performance of the plant network system according to the preset sewage treatment evaluation index comprises:
according to the diagnosis evaluation index of the matching of the power network of the split-flow system, quickly diagnosing and evaluating the matching of the power network of the split-flow system;
and according to the diagnosis evaluation index of the matching of the combined system or the cut-off system plant network, quickly diagnosing and evaluating the matching of the combined system or the cut-off system plant network.
According to a second aspect of the embodiments of the present invention, there is provided a system for diagnosing and evaluating an operation condition of a drainage pipe network system, including:
the sewage system operation condition diagnosis and evaluation system is used for judging whether the water source composition of the sewage well is normal or other sewage sources are mixed; judging whether the sewage system has rainwater access and the access degree; judging whether river and lake water is mixed into the sewage system or not and judging the mixing degree of the river and lake water;
the rainwater system operation condition diagnosis and evaluation system is used for judging whether the rainwater well water source composition is normal or other sewage sources are mixed; judging whether sewage mixed misconnection exists in the rainwater system and the mixed misconnection degree exists; judging the degree of mixing of external water in the rainwater system;
the pipe network operation defect diagnosis and evaluation system is used for diagnosing and evaluating the probability of the pipe network operation defects;
the system comprises a plant network system operation condition diagnosis and evaluation system, a water supply system and a water supply system, wherein the plant network system operation condition diagnosis and evaluation system is used for diagnosing and evaluating the system operation condition according to the principle of water quantity and load balance of the plant network system;
and the plant network system matching performance diagnosis and evaluation system is used for evaluating the matching performance of the plant network system according to preset sewage treatment evaluation indexes.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
by on-site investigation information, different pipe network operation conditions are evaluated by a sewage system operation condition diagnosis and evaluation method, a rainwater system operation condition diagnosis and evaluation method, a pipe network operation defect diagnosis and evaluation method, a plant network system operation condition diagnosis and evaluation method and a plant network system matching diagnosis and evaluation method, the current operation state of a pipe network system is quickly known, a preliminary basis is provided for decision making, and the method is low in cost and short in period. In addition, the method in the prior art is mostly suitable for diagnosing the defects of the pipe network, and the technical scheme provided by the invention not only can utilize limited on-site investigation information to diagnose the defects of the pipe network, but also is suitable for evaluating the operating conditions of different pipe networks such as sewage, rainwater, confluence and the like, the operating conditions of a plant network system, the matching performance of the plant network system and the like.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart illustrating a method for diagnosing and evaluating the operating conditions of a piping network system in accordance with an exemplary embodiment;
FIG. 2 is a flow diagram illustrating a method for rapid diagnosis and assessment of sewer well water source composition with only dry-day data, according to an exemplary embodiment;
FIG. 3 is a flow diagram illustrating a method for rapid diagnosis and assessment of sewer well water source composition when both dry and rainy day data are present, according to an exemplary embodiment;
FIG. 4 is a plot of a rain tiering proportion distribution for each session, according to an exemplary embodiment;
FIG. 5 is a flow diagram illustrating a method for rapid diagnosis and evaluation of dry-day operation of a catch basin in accordance with an exemplary embodiment;
FIG. 6 is a flow chart illustrating a method for dry-sky misconnection diagnosis and evaluation for a rain water system according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
As can be known from the foregoing discussion of the background art, the existing hydrodynamic water quality model software related to the URBAN pipe network mainly includes SWMM, InfoWorks ICM, MIKE URBAN and the like, which have strong speciality and need deep professional foundation to operate, and the basic data required by the professional software is very complete, and in general, there is an area for general survey data of the pipe network, or there is a condition for establishing a mathematical model after entering a project of an operation stage.
In addition, existing studies rely mainly on three aspects: one is an existing pipe network information database to extract basic information of a pipe network, such as pipe length, pipe diameter, buried depth and the like; one is the existing pipe network detection result, which is obtained by the technical procedures of urban drainage pipeline detection and evaluation (CJJ 181-2012); the other is a pipe network hydrodynamic water quality mathematical model, and the establishment of the model completely depends on the integrity of a pipe network information database. The acquisition of the foundations requires a large amount of preliminary work, is suitable for a system planning stage, but is not suitable for a stage of quickly judging the project condition in the preliminary stage of the project.
Aiming at the defects that the existing drainage pipe network system is insufficient in information and difficult to obtain, the existing drainage pipe network system operation condition diagnosis and evaluation method depends on a hardware means, the evaluation efficiency is low, and the existing technical method is not suitable for rapid diagnosis and evaluation, the invention provides the following exemplary embodiments, in particular as follows:
example one
Fig. 1 is a flow chart illustrating a method for diagnosing and evaluating an operation condition of a drain network system according to an exemplary embodiment, as shown in fig. 1, the method includes:
step S11, a method for diagnosing and evaluating the operation condition of the sewage system, which is used for judging whether the water source composition of the sewage well is normal or other sewage sources are mixed in; judging whether the sewage system has rainwater access and the access degree; judging whether river and lake water is mixed in the sewage system or not and the mixing degree of the river and lake water;
step S12, a rainwater system operation condition diagnosis and evaluation method is used for judging whether the rainwater well water source composition is normal or other sewage sources are mixed; judging whether sewage mixed misconnection exists in the rainwater system and the mixed misconnection degree exists; judging the degree of mixing of external water in the rainwater system;
step S13, a method for diagnosing and evaluating the operation defects of the pipe network, which is used for diagnosing and evaluating the probability of the operation defects of the pipe network;
step S14, a method for diagnosing and evaluating the operation condition of the plant network system, which is used for diagnosing and evaluating the operation condition of the system according to the principle of water quantity and load balance of the plant network system;
and step S15, a factory network system matching performance diagnosis and evaluation method is used for evaluating the factory network system matching performance according to the preset sewage treatment evaluation index.
It should be noted that the technical solution provided in this embodiment is applicable to: under the condition of lacking hardware investment, the operation condition of the urban drainage system is rapidly evaluated through accurate investigation and collection.
In specific practice, the sewage system operation condition diagnosis and evaluation method, the rainwater system operation condition diagnosis and evaluation method, the pipe network operation defect diagnosis and evaluation method, the plant network system operation condition diagnosis and evaluation method and the plant network system matching diagnosis and evaluation method have the following evaluation framework:
Figure BDA0003523493380000081
Figure BDA0003523493380000091
watch 1
In a specific practice, the determining whether the composition of the bilge well water source is normal or other bilge sources are mixed includes:
1. and when only the data of the dry day exists, judging the water level of the sewage well under the dry-day operation condition, wherein the water level comprises: normal water level and high water level (see table two, if the water level in the well exceeds the maximum design fullness of table two, the operation belongs to high water level, and the operation belongs to normal water level under other conditions);
bilge well pipe diameter or canal height (mm) Maximum design fullness
200-300 0.55
350-450 0.65
500-900 0.70
≥1000 0.75
Watch two
Referring to FIG. 2, under normal water level, if the concentration of ammonia nitrogen pollutants is more than 10mg/L, the composition of the water source of the sewage well is judged to be normal; if the concentration of the ammonia nitrogen pollutant is less than or equal to 10mg/L, judging that other sewage sources are mixed into the sewage well water source, and the method comprises the following steps: river and lake water, underground water and construction drainage;
under a high water level, if the concentration of the ammonia nitrogen pollutants is more than 10mg/L, judging that the water source composition of the sewage well is normal; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L and the ammonia nitrogen pollutants have no obvious difference with the water level and water quality of the adjacent catch basin, judging that rain and sewage mixed connection or communication exists; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, the concentration of the ammonia nitrogen pollutants is obviously different from the water level and the water quality of the adjacent catch basin, and the concentration of the ammonia nitrogen pollutants is not obviously different from the water level and the water quality of the tail end sewage treatment system, the method judges that other sewage sources are mixed into the water source of the sewage well, and comprises the following steps: river and lake water, underground water and construction drainage; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, the difference between the concentration of the ammonia nitrogen pollutants and the water quality of the water level of the adjacent catch basin is obvious, and the difference between the concentration of the ammonia nitrogen pollutants and the water quality of the water level of the adjacent catch basin is larger than that of the tail end sewage treatment system, the serious sedimentation of the sewage system is judged;
2. when the data of dry days and rainy days exist at the same time, referring to fig. 3, sampling the sewage well, and if the TN (total nitrogen) concentration change rate of the sampling is more than 20%, judging that rainwater access possibly exists in the water source composition of the sewage well; and if the TN concentration change rate of the sample is less than or equal to 20%, judging that the water source composition of the sewage well is normal.
In specific practice, the judging whether the sewage system has rainwater access and the access degree comprises the following steps: judging whether rainwater is connected according to the correlation between the daily rainfall and the daily running water quantity of a sewage pump station or a sewage treatment plant; or judging whether rainwater is connected according to the correlation between the daily rainfall and the ammonia nitrogen concentration of the daily inlet water of a sewage pump station or a sewage treatment plant; or, performing t-test analysis according to weather data and daily water inflow data recorded by a sewage plant or a sewage pump station to judge whether rainwater is accessed;
and judging the rainwater access degree according to the daily inflow water quantity of the sewage system under the conditions of dry days and rainy days.
Wherein, judge rainwater access degree according to sewage system's the water yield of intaking of under the arid day and the rainy day circumstances, include: calculating the amount of sewage in the dry day every day, wherein if no rainfall or the rainfall is less than or equal to 2mm in the current day, the amount of sewage in the dry day is the amount of sewage in the current day, and if the rainfall in the current day exceeds 2mm, the amount of sewage in the dry day is the amount of sewage in the previous dry day; and secondly, calculating the daily rainwater access ratio. Defining the absolute value of the percentage of the water inflow in the current day exceeding the sewage amount in the dry day in the current day as a rainwater access ratio; thirdly, a curve graph of the annual daily rainwater access ratio and the cumulative percentage thereof is made, the zero-value rainwater access ratio is removed firstly, then the daily rainwater access ratios are arranged from small to large, then the cumulative percentage of the daily rainwater access ratios is calculated, finally a curve is made, if the curve has an obvious inflection point, the rainwater access ratio corresponding to the inflection point is the rainwater access rate, and if the curve does not have an obvious inflection point, the non-zero average value of the daily rainwater access ratio is the rainwater access rate.
Figure BDA0003523493380000101
In the formula:
Figure BDA0003523493380000102
the rainwater mixed-staggered water receiving quantity ratio refers to the proportion of rainwater quantity in a sewage system to the total sewage production quantity in an area;
Qrain waterDelivering water volume m for sewage system in rainy days3/d;
Q is total sewage yield of the investigated area, m3/d。
Figure BDA0003523493380000103
Calculated by daily data, if no rainfall occurs in the day, the amount of the sewage in the dry day is the amount of the sewage in the day, and if the rainfall in the day exceeds 2mm, Q is calculatedRain waterFor the water delivery of the system on the same day, Q refers to the amount of sewage in the previous dry day. According to an accumulated frequency graph of the annual daily rainwater mixed ratio, the average mixed level of the system is determined, the mixed ratio is generally determined by the inflection point of an accumulated frequency curve, and if the curve has no obvious inflection point, the daily mixed ratio average value is taken. Taking TZH sewage pumping station as an example, the water collection area is 7.34km2The result of the estimated distribution of the rainfall misconnection ratio of each time is shown in FIG. 4, and it can be seen that the cumulative frequency is 80%When the system is used, the curve has an obvious inflection point, the mixed connection rate is about 0.15, and therefore the average rainwater access rate of the system is 15%.
In a specific practice, the judging whether the sewage system is mixed with river and lake water or not and the mixing degree comprises the following steps:
1) judging whether river and lake water is mixed in
And (4) judging according to the comparison of municipal pipeline concentration, sewage pumping station concentration, sewage plant concentration and surface water concentration in dry weather, and if the pumping station concentration/sewage plant concentration is lower than 1/2 of the average pipeline concentration or the difference between the pumping station concentration/sewage plant concentration and the surface water concentration is within 20%, judging that river and lake water possibly enters.
2) Judging the degree of river and lake water mixing
The method is characterized in that the river and lake water mixing degree is calculated according to a water quantity balance method and a pollution load balance method, and specifically, 8 parameters such as the storage regulation amount of a drainage pipe network system, the treatment capacity of a sewage plant station, the overflow discharge amount, the rainwater access amount, the primary sewage concentration, the river and lake water concentration, the drainage pipe network concentration, the rainwater runoff concentration and the like are required.
Amount of collected sewage QWaste collectionRainwater receiving amount QRain connectsAnd the mixing amount of river and lake water QRivers and lakesAnd a system storage amount QRegulating storagePlant throughput QPlant stationOverflow discharge QRow boardSatisfies the following formula (1):
Qwaste collection+QRain connects+QRivers and lakes=QRegulating storage+QPlant station+QRow board (1)
While the sewage concentration CDirtRainwater concentration CRainWater concentration in rivers and lakes CRivers and lakesPipe network concentration CPipeSatisfies the following formula (2):
Figure BDA0003523493380000111
the sewage collection amount and the river and lake water mixing amount are obtained by the formula (1) and the formula (2) in a combined manner:
Figure BDA0003523493380000112
Qrivers and lakes=QRegulating storage+QPlant station+QRow board-QWaste collection-QRain connects
In a specific practice, the judging whether the rainwater well water source composition is normal or other sewage sources are mixed comprises the following steps:
referring to fig. 5, if there is no obvious water flow in the catch basin in dry weather, the catch basin composition is normal; if the rainwater well has obvious water flow in the dry day and the water quality of the rainwater well is not obviously different from that of the adjacent sewage well, judging that rainwater and sewage communication exists; if the water quality is obviously different from that of the adjacent sewage well and the concentration of the ammonia nitrogen pollutant is more than 10mg/L, judging that sewage mixed connection exists; if the water quality is obviously different from that of the adjacent sewage well, the concentration of the ammonia nitrogen pollutant is less than or equal to 10mg/L, and the water quality is not obviously different from that of the terminal rainwater system, other sewage sources are judged to be mixed, including: river and lake water, underground water and construction drainage; if the difference between the water quality of the rainwater system and the water quality of an adjacent sewage well is obvious, the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, and the difference between the water quality of the rainwater system and the water quality of a terminal rainwater system is large, the rainwater system is judged to be seriously deposited.
In a specific practice, referring to fig. 6, the determining whether the rainwater system has the mixed misconnection of the sewage and the mixed misconnection degree includes:
if continuous water flow exists at the tail end of the dry-weather rainwater system and the water quality concentration is similar to that of the sewage system, judging that sewage mixed misconnection exists; if there is continuous rivers and quality of water concentration is similar with the surface water at the dry day rainwater system end, then judge that there is other sewage sources to mix into, include: river and lake water, underground water and construction drainage; if the terminal of the rainwater system in the dry weather has no continuous water flow, judging that the rainwater system has no mixed misconnection;
representing the sewage mixed misconnection degree by using the mixed misconnection density or the mixed misconnection water quantity ratio; wherein the misconnection density is the ratio of the number of the misconnection points of the sewage in the rainwater pipeline to the total number of the rainwater wells to be investigated; the mixed and staggered water receiving quantity ratio is the ratio of the total sewage quantity in the rainwater system obtained by investigation to the total sewage yield of the investigated area.
In a specific practice, the judging the degree of mixing of external water into the rainwater system includes:
the method comprises the following steps of (1) representing the mixing degree of external water by using the ratio of the water inflow of a dry-land rainwater pumping station to the total volume of a rainwater pipeline through a rainwater system discharged by the rainwater pumping station; the self-flowing drainage system without a rainwater pump station represents the external water mixing degree by dividing the water storage capacity of a dry-land rainwater system by the total volume of a pipeline; the outer water comprises: river and lake water, underground water and construction drainage.
In specific practice, the method for rapidly diagnosing and evaluating the operation defects of the pipe network comprises the following steps:
according to the technical rules for detecting and evaluating urban drainage pipelines (CJJ181-2012), the defects of the pipe network comprise 10 types of structural defects and functional defects, wherein the structural defects comprise fracture, deformation, corrosion, stagger, fluctuation, disjunction, interface material shedding, branch pipe concealed joint, foreign matter penetration, leakage and the like, and the functional defects comprise 6 types of deposition, scaling, obstacles, residual wall dam roots, tree roots, scum and the like. If the operation defects of the pipe network are actually evaluated, the operation defects need to be evaluated in modes of television detection, sonar detection, pipeline periscope detection and the like, the time consumption is long, and the investment is large. According to the embodiment, the operation defects of the pipe network are rapidly diagnosed according to the attribute information (such as pipe length, gradient, buried depth and the like) of the pipe network, and the operation defects are obtained through data mining and machine learning method research.
The evaluation of the running defects of the pipe network requires 16 attributes such as the diameter of a pipeline, the length of the pipeline, the burial depth, the absolute gradient, the age of the pipeline, the width of a road, the position of the road, the condition of the road surface, the slope of the road, the distance from a well surface to a tree, the size of the tree, the shape of the pipeline, the distance from the well surface to the water surface, the flow velocity, the deposition thickness, whether the well wall is intact or not, whether the well lid is intact or not and the like. Wherein 5 attributes such as pipe length, buried depth, absolute gradient, well surface to tree distance, well surface to water surface distance have great influence on model accuracy, accuracy is ensured, and fuzzy input can be performed on other attributes. According to the attributes, the probability of five defects such as malocclusion, rupture, tree root (tree root invades the pipeline structure), obstacle (whether the obstacle is blocked or not), deposition and the like can be evaluated.
It can be understood that, compared with the traditional mode of detecting the defects of the pipeline through hardware, such as CCTV and pipeline endoscopy, and acquiring the flow and water quality rule of the pipe network by laying monitoring instruments, the technical scheme provided by the embodiment does not need hardware investment, and can greatly improve the working efficiency. And establishing association between the key research index and the system operation condition through an experience summary and machine learning method. The method comprises the steps of rapidly diagnosing and evaluating the operation defects of the pipe network, establishing a model for conjecturing the basic attributes, the ground related conditions and the probability of the operation defects of the pipe by using a machine learning technology, and rapidly evaluating the probability of the possible operation defects of the pipe based on easily obtained data.
In a specific practice, the diagnosing and evaluating the system operation condition according to the principle of water quantity and load balance of the plant network system comprises the following steps:
calculating based on the relation between the water quantity in the instantaneous state and the load balance to obtain the collected water quantity of the sewage and the water quantity of the external water mixed into the sewage system;
based on the diagnosis and evaluation of the long-sequence operation effect of the system, long-sequence operation parameters of the plant network system are evaluated, wherein the long-sequence operation parameters comprise: annual overflow frequency, overflow quantity, overflow pollution load and cutoff multiple.
It should be explained that: (1) water volume and load balance relation calculation based on transient state
The water quantity and load balance relation of the plant network system is based on the evaluation of an instantaneous state, mainly relates to 6 parts such as a sewage collection part, a part for rainwater to enter a sewage system, a part for external water to be mixed into the sewage system, a system regulation part, a sewage plant station conveying and processing part, and system overflow discharge, and meets the above formula (1) and formula (2).
The quantity of rainwater entering the sewage system is determined according to the rainwater access degree judgment in the part 1, the system regulation part is roughly estimated according to the investigated pipe network fullness and the volumes of all regulation facilities, the conveying capacity of a sewage plant station is obtained according to the water inlet data of the plant station or is replaced by the conveying capacity of the plant station, the instantaneous system overflow discharge is roughly estimated according to the investigation, and the obtained primary sewage concentration, river and lake water concentration, pipe network concentration and rainwater runoff concentration are combined, so that the sewage collecting water quantity and the quantity of external water mixed into the sewage system are calculated according to the formula 3.
(2) System long sequence operation effect diagnosis and evaluation
In long-sequence operation, the factory network system with each time step also meets the relationship between water quantity and load balance in each time period.
The water quantity input elements of each time step comprise the collected primary sewage quantity, the quantity of rainwater entering a sewage system, the river and lake water mixing quantity, the system regulation and storage quantity and the plant station treatment quantity, wherein the collected primary sewage quantity and the river and lake water mixing quantity are obtained according to the 'instantaneous state-based water quantity and load balance relation calculation', and the output element is the time interval overflow quantity.
Each time step water quality input element comprises primary sewage concentration, rainwater runoff concentration and surface water concentration, and the output element comprises pipeline concentration, and the regulation facility concentration, the plant station inlet water concentration and the overflow concentration are obtained according to the pipeline concentration.
And the annual overflow frequency, the overflow quantity, the overflow pollution load, the interception multiple and other sequence operation parameters of the plant network system can be evaluated through the overflow quantity and the overflow concentration of each time step.
Wherein, (1) water quantity and load balance relation calculation based on instantaneous state, and (2) system long sequence operation effect diagnosis and evaluation are carried out by taking a plant network partition unit as a unit.
In a specific practice, the evaluating the matching performance of the plant network system according to the preset sewage treatment evaluation index comprises the following steps:
according to the diagnosis evaluation index of the matching of the power network of the split-flow system, quickly diagnosing and evaluating the matching of the power network of the split-flow system;
and according to the diagnosis evaluation index of the matching of the combined system or the cut-off system plant network, quickly diagnosing and evaluating the matching of the combined system or the cut-off system plant network.
(1) Rapid diagnosis and evaluation of matching of shunt system plant network
The diagnosis evaluation indexes of the matching of the shunt system and the system network are the sewage water collection rate, the sewage pollution load collection rate, the daily average treated water amount of the sewage plant and the daily water amount change range of the sewage plant.
The sewage amount collection rate is a ratio of the amount of collected sewage to the amount of raw sewage, the amount of collected sewage is calculated by the above formula 3, and the amount of raw sewage is estimated according to a population method, a land use method or a water supply amount method.
The sewage pollution load collection rate is the ratio of the pollution load of the collected sewage to the primary sewage pollution load, the pollution load of the collected sewage is the product of the collected sewage quantity and the sewage inlet concentration of the sewage treatment plant, and the primary sewage pollution load is the product of the primary sewage quantity and the investigated primary sewage concentration.
The daily average treated water amount of the sewage plant is obtained by statistics according to the running data of the sewage plant length sequence.
The daily water amount variation range of the sewage plant is the range from the minimum treatment capacity to the maximum treatment capacity when the sewage plant normally operates.
The evaluation system is shown in table three below:
Figure BDA0003523493380000151
Figure BDA0003523493380000161
watch III
(2) Rapid diagnosis and evaluation of matching performance of combined system/closure system plant network
The diagnosis and evaluation of the matching of the combined system/closure system plant network comprises the sewage water yield collection rate, the sewage pollution load collection rate, the daily average treated water yield of the sewage plant, the daily water yield variation range of the sewage plant and the system closure capacity.
The definitions of the sewage water collection rate, the sewage pollution load collection rate, the daily average treated water amount of the sewage plant and the daily water amount variation range of the sewage plant are the same as those of (1) the rapid diagnosis and evaluation of the matching of the shunt system and the network.
The system interception capacity is estimated according to the method provided by the diagnosis and evaluation of the long-sequence operation effect of the system.
The evaluation system is shown in table four below:
Figure BDA0003523493380000162
Figure BDA0003523493380000171
Figure BDA0003523493380000181
watch four
It can be understood that, according to the technical scheme provided by this embodiment, through on-site investigation and information, a complete database system is not required, different pipe network operation conditions are evaluated through a sewage system operation condition diagnosis and evaluation method, a rainwater system operation condition diagnosis and evaluation method, a pipe network operation defect diagnosis and evaluation method, a plant network system operation condition diagnosis and evaluation method, and a plant network system matching diagnosis and evaluation method, so that the current state of operation of a pipe network system is quickly known, a preliminary basis is provided for decision making, and the method is low in cost and short in period. In addition, the method in the prior art is mostly suitable for diagnosing the defects of the pipe network, and the technical scheme provided by the invention not only can utilize limited on-site investigation information to diagnose the defects of the pipe network, but also is suitable for evaluating the operating conditions of different pipe networks such as sewage, rainwater, confluence and the like, the operating conditions of a plant network system, the matching performance of the plant network system and the like.
Example two
According to an exemplary embodiment, the system for diagnosing and evaluating the operation condition of the drainage network system comprises:
the sewage system operation condition diagnosis and evaluation system is used for judging whether the water source composition of the sewage well is normal or other sewage sources are mixed; judging whether the sewage system has rainwater access and the access degree; judging whether river and lake water is mixed in the sewage system or not and the mixing degree of the river and lake water;
the rainwater system operation condition diagnosis and evaluation system is used for judging whether the rainwater well water source composition is normal or other sewage sources are mixed; judging whether sewage mixed misconnection exists in the rainwater system and the mixed misconnection degree exists; judging the degree of mixing of external water in the rainwater system;
the pipe network operation defect diagnosis and evaluation system is used for diagnosing and evaluating the probability of the pipe network operation defects;
the system comprises a plant network system operation condition diagnosis and evaluation system, a water supply system and a water supply system, wherein the plant network system operation condition diagnosis and evaluation system is used for diagnosing and evaluating the system operation condition according to the principle of water quantity and load balance of the plant network system;
and the system matching diagnosis and evaluation system is used for evaluating the matching of the system of the plant according to the preset sewage treatment evaluation index.
It should be noted that the technical solution provided in this embodiment is applicable to: under the condition of lacking hardware investment, the operation condition of the urban drainage system is rapidly evaluated through accurate investigation and collection.
It can be understood that, according to the technical scheme provided by this embodiment, through on-site investigation of information, a complete database system is not required, different pipe network operation conditions are evaluated through a sewage system operation condition diagnosis and evaluation method, a rainwater system operation condition diagnosis and evaluation method, a pipe network operation defect diagnosis and evaluation method, a plant network system operation condition diagnosis and evaluation method, and a plant network system matching diagnosis and evaluation method, so that the current operation state of a pipe network system is quickly known, a preliminary basis is provided for decision making, and the method is low in cost and short in period. In addition, the method in the prior art is mostly suitable for diagnosing the defects of the pipe network, and the technical scheme provided by the invention not only can utilize limited on-site investigation information to diagnose the defects of the pipe network, but also is suitable for evaluating the operating conditions of different pipe networks such as sewage, rainwater, confluence and the like, the operating conditions of a plant network system, the matching performance of the plant network system and the like.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (10)

1. A method for diagnosing and evaluating the operation condition of a drainage pipe network system is characterized by comprising the following steps:
the method for diagnosing and evaluating the operation condition of the sewage system is used for judging whether the water source composition of a sewage well is normal or other sewage sources are mixed; judging whether the sewage system has rainwater access and the access degree; judging whether river and lake water is mixed in the sewage system or not and the mixing degree of the river and lake water;
the rainwater system operation condition diagnosis and evaluation method is used for judging whether the rainwater well water source composition is normal or other sewage sources are mixed; judging whether sewage mixed misconnection exists in the rainwater system or not and judging the mixed misconnection degree; judging the degree of mixing of external water in the rainwater system;
the pipe network operation defect diagnosis and evaluation method is used for diagnosing and evaluating the probability of the pipe network operation defects;
the plant network system operation condition diagnosis and evaluation method is used for diagnosing and evaluating the system operation condition according to the principle of water quantity and load balance of the plant network system;
the matching performance diagnosis and evaluation method of the plant network system is used for evaluating the matching performance of the plant network system according to preset sewage treatment evaluation indexes.
2. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 1, wherein the step of judging whether the composition of a sewage well water source is normal or other sewage sources are mixed comprises the following steps:
and when only the data of the dry day exists, judging the water level of the sewage well under the dry-day operation condition, wherein the water level comprises: normal water level and high water level;
under the normal water level, if the concentration of the ammonia nitrogen pollutants is more than 10mg/L, judging that the water source composition of the sewage well is normal; if the concentration of the ammonia nitrogen pollutant is less than or equal to 10mg/L, judging that other sewage sources are mixed into the sewage well water source, and the method comprises the following steps: river and lake water, underground water and construction drainage;
under a high water level, if the concentration of the ammonia nitrogen pollutants is more than 10mg/L, judging that the water source composition of the sewage well is normal; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L and the difference between the concentration of the ammonia nitrogen pollutants and the water level water quality of the adjacent catch basin is not obvious, judging that rain and sewage mixed connection or communication exists; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, the concentration of the ammonia nitrogen pollutants is obviously different from the water level and the water quality of the adjacent catch basin, and the concentration of the ammonia nitrogen pollutants is not obviously different from the water level and the water quality of the tail end sewage treatment system, the method judges that other sewage sources are mixed into the water source of the sewage well, and comprises the following steps: river and lake water, underground water and construction drainage; if the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, the difference between the concentration of the ammonia nitrogen pollutants and the water quality of the water level of the adjacent catch basin is obvious, and the difference between the concentration of the ammonia nitrogen pollutants and the water quality of the water level of the adjacent catch basin is larger than that of the tail end sewage treatment system, the serious sedimentation of the sewage system is judged;
sampling the sewage well when the data of the dry weather and the rainy weather exist, and judging that rainwater is possibly connected into the water source of the sewage well if the TN concentration change rate of the sampling is more than 20%; and if the TN concentration change rate of the sample is less than or equal to 20%, judging that the water source composition of the sewage well is normal.
3. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 1, wherein the step of judging whether the sewage system has rainwater access and the access degree comprises the following steps:
judging whether rainwater is connected according to the correlation between the daily rainfall and the daily running water quantity of a sewage pump station or a sewage treatment plant; or judging whether rainwater is accessed according to the correlation between the daily rainfall and the daily inflow ammonia nitrogen concentration of a sewage pump station or a sewage treatment plant; or, performing t-test analysis according to weather data and daily water inflow data recorded by a sewage plant or a sewage pump station to judge whether rainwater is accessed;
and judging the rainwater access degree according to the daily inflow water quantity of the sewage system under the conditions of dry days and rainy days.
4. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 1, wherein the step of judging whether the sewage system is mixed with river and lake water or not and the mixing degree of the river and lake water comprises the following steps:
judging according to the comparison of municipal pipeline concentration, sewage pump station concentration, sewage plant concentration and surface water concentration under the dry weather condition, and if the pump station concentration/sewage plant concentration is lower than 1/2 of the average pipeline concentration or the difference between the pump station concentration and the surface water concentration is within 20%, judging that river and lake water possibly enter the sewage system;
and calculating the mixing degree of the river and lake water according to a water balance method and a pollution load balance method.
5. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 1, wherein the step of judging whether the composition of a rainwater well water source is normal or other sewage sources are mixed comprises the steps of:
if the rainwater well does not have obvious water flow in the dry day, the composition of the rainwater well is normal;
if the rainwater well has obvious water flow in the dry day and has no obvious difference with the water quality of the adjacent sewage well, judging that the rainwater and sewage communication exists; if the water quality is obviously different from that of the adjacent sewage well and the concentration of the ammonia nitrogen pollutant is more than 10mg/L, judging that sewage mixed connection exists; if the water quality is obviously different from that of the adjacent sewage well, the concentration of the ammonia nitrogen pollutant is less than or equal to 10mg/L, and the water quality is not obviously different from that of the terminal rainwater system, other sewage sources are judged to be mixed, including: river and lake water, underground water and construction drainage; if the difference between the water quality of the rainwater system and the water quality of an adjacent sewage well is obvious, the concentration of the ammonia nitrogen pollutants is less than or equal to 10mg/L, and the difference between the water quality of the rainwater system and the water quality of a terminal rainwater system is large, the rainwater system is judged to be seriously deposited.
6. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 1, wherein the step of judging whether the rainwater system has the mixed misconnection of the sewage and the mixed misconnection degree comprises the following steps:
if continuous water flow exists at the tail end of the dry-weather rainwater system and the water quality concentration is similar to that of the sewage system, judging that sewage mixed misconnection exists; if there is continuous rivers and quality of water concentration is similar with the surface water at the dry day rainwater system end, then judge that there is other sewage sources to mix into, include: river and lake water, underground water and construction drainage; if the terminal of the rainwater system in the dry weather has no continuous water flow, judging that the rainwater system has no mixed misconnection;
if the sewage mixed misconnection exists, representing the sewage mixed misconnection degree by using the mixed misconnection density or the mixed misconnection water quantity ratio; wherein the misconnection density is the ratio of the number of the misconnection points of the sewage in the rainwater pipeline to the total number of the rainwater wells to be investigated; the mixed and staggered water receiving quantity ratio is the ratio of the total sewage quantity in the rainwater system obtained by investigation to the total sewage yield of the investigated area.
7. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 6, wherein the step of judging the degree of mixing of external water into the rainwater system comprises the following steps:
the method comprises the following steps of (1) representing the mixing degree of external water by using the ratio of the water inflow of a dry-land rainwater pumping station to the total volume of a rainwater pipeline through a rainwater system discharged by the rainwater pumping station; the self-flowing drainage system without a rainwater pump station represents the external water mixing degree by dividing the water storage capacity of a dry-land rainwater system by the total volume of a pipeline; the outer water comprises: river and lake water, underground water and construction drainage.
8. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 1, wherein the diagnosing and evaluating the operation condition of the system according to the principle of water quantity and load balance of the plant network system comprises the following steps:
calculating based on the relation between the water quantity in the instantaneous state and the load balance to obtain the collected water quantity of the sewage and the water quantity of the external water mixed into the sewage system;
based on the diagnosis and evaluation of the long-sequence operation effect of the system, long-sequence operation parameters of the plant network system are evaluated, wherein the long-sequence operation parameters comprise: annual overflow frequency, overflow quantity, overflow pollution load and cutoff times.
9. The method for diagnosing and evaluating the operation condition of the drainage pipe network system according to claim 1, wherein the evaluating the matching performance of the plant network system according to the preset sewage treatment evaluation index comprises the following steps:
according to the diagnosis evaluation index of the matching of the power network of the split-flow system, quickly diagnosing and evaluating the matching of the power network of the split-flow system;
and according to the diagnosis evaluation index of the matching of the combined system or the cut-off system plant network, quickly diagnosing and evaluating the matching of the combined system or the cut-off system plant network.
10. The utility model provides a drain pipe network system operating condition diagnoses and evaluation system which characterized in that includes:
the sewage system operation condition diagnosis and evaluation system is used for judging whether the water source composition of the sewage well is normal or other sewage sources are mixed; judging whether the sewage system has rainwater access and the access degree; judging whether river and lake water is mixed in the sewage system or not and the mixing degree of the river and lake water;
the rainwater system operation condition diagnosis and evaluation system is used for judging whether the rainwater well water source composition is normal or other sewage sources are mixed; judging whether sewage mixed misconnection exists in the rainwater system and the mixed misconnection degree exists; judging the degree of mixing of external water in the rainwater system;
the pipe network operation defect diagnosis and evaluation system is used for diagnosing and evaluating the probability of the pipe network operation defects;
the system comprises a plant network system operation condition diagnosis and evaluation system, a water supply system and a water supply system, wherein the plant network system operation condition diagnosis and evaluation system is used for diagnosing and evaluating the system operation condition according to the principle of water quantity and load balance of the plant network system;
and the plant network system matching performance diagnosis and evaluation system is used for evaluating the matching performance of the plant network system according to preset sewage treatment evaluation indexes.
CN202210188100.6A 2022-02-28 2022-02-28 Method and system for quickly diagnosing and evaluating operation condition of drainage pipe network system Pending CN114565273A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115012501A (en) * 2022-06-09 2022-09-06 长江生态环保集团有限公司 Detection system and method for defects of drainage pipe network
CN116102096A (en) * 2023-01-17 2023-05-12 中节能国祯环保科技股份有限公司 Integrated control method and system for urban sewage plant network

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115012501A (en) * 2022-06-09 2022-09-06 长江生态环保集团有限公司 Detection system and method for defects of drainage pipe network
CN115012501B (en) * 2022-06-09 2023-06-02 长江生态环保集团有限公司 Detection system and method for defect of drainage pipe network
CN116102096A (en) * 2023-01-17 2023-05-12 中节能国祯环保科技股份有限公司 Integrated control method and system for urban sewage plant network
CN116102096B (en) * 2023-01-17 2024-03-01 中节能国祯环保科技股份有限公司 Integrated control method and system for urban sewage plant network

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