CN111022935B - Method, device and system for detecting broken leakage of air pipe network of sewage treatment equipment - Google Patents
Method, device and system for detecting broken leakage of air pipe network of sewage treatment equipment Download PDFInfo
- Publication number
- CN111022935B CN111022935B CN201911170203.4A CN201911170203A CN111022935B CN 111022935 B CN111022935 B CN 111022935B CN 201911170203 A CN201911170203 A CN 201911170203A CN 111022935 B CN111022935 B CN 111022935B
- Authority
- CN
- China
- Prior art keywords
- air pipe
- pipe network
- self
- data
- sewage treatment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
Abstract
The invention discloses a method, a device and a system for detecting breakage and leakage of an air pipe and a pipe network of sewage treatment equipment, which are used for collecting operation parameters of a fan, a pressure gauge of a main pipe network of the air pipe and an automatic switch valve at the tail end of each fulcrum of the air pipe, which are deployed in integrated sewage equipment, transmitting equipment operation data to an application layer such as a controller and the like in a wired or wireless network transmission mode, carrying out long-term analysis and comparison on the operation data of the whole air pipe system, collecting pressure value states of the air pipe under various working frequencies and various switch combinations of the valve of an air outlet machine, and accurately judging the possibility of breakage and leakage of the air outlet pipe when the pressure value of the main pipe network is abnormal to the pressure value under the normal condition once pipe. Through the data analysis mode, the data of the electrical equipment of each station can be independently analyzed, so that the rule can be found, and the applicability is high.
Description
Technical Field
The invention belongs to the technical field of sewage treatment equipment detection, and particularly relates to broken leakage detection of an air pipe network of a sewage treatment equipment.
Background
Sewage points in villages and towns and rural areas are dispersed, water quantity is unstable, treatment capacity is different from 5 tons to 1000 tons, and integrated sewage treatment equipment is adopted in the condition to facilitate installation and deployment. In order to reduce the operation cost, an unattended mode is mostly adopted, so the management difficulty of the integrated sewage treatment equipment is realized under the condition. The method is mainly characterized in that:
(1) the air pipe of the integrated sewage treatment equipment is not easy to be found due to leakage;
(2) if the air duct has air pressure leakage and is not treated for a long time, the fault of a leakage point of a network management is easily expanded, and the loss of the whole air duct is expanded;
(3) the leakage of the air pipe leads to the wind pressure of each process unit to be reduced, the wind flow is insufficient, the aeration of sewage is affected insufficiently, and the index of the treated sewage is not up to the standard.
(4) The treatment water amount of each plant station is different, the sizes of air pipes are different, the air quantity and the power of a fan are different, and the water level heights of the process units of the aerobic tanks are different; the pressure gauge data of one sewage plant station can not be applied to all the plant stations.
Therefore, based on the above practical problems, a method for accurately determining the leakage or blockage of the air duct in time is urgently needed. The traditional integrated sewage equipment only comprises electric and automatic control equipment, but does not really analyze and search the rule by collecting and analyzing the data of the electric equipment. Based on the development of the internet of things technology, a realization mode is provided for the real-time information acquisition and analysis of various devices, and a better research direction is provided for timely and accurately judging the leakage or blockage of the air pipe.
Disclosure of Invention
The invention aims to: the method, the device and the system for detecting the air pipe network breakage of the sewage treatment equipment solve the problems that the integrated sewage equipment only has electric and automatic control equipment, the breakage and leakage of the air pipe network are difficult to directly detect, the air pipes of each plant station are different in working state, and the abnormity cannot be accurately judged through one pressure standard when the breakage and leakage of the air pipes are indirectly detected through pressure detection.
The technical scheme adopted by the invention is as follows:
the invention provides a method for detecting the breakage and leakage of an air pipe network of a sewage treatment device, which comprises the following steps:
collecting fan frequency and power data of sewage treatment equipment, pressure data of a main pipe network of an air pipe, operation parameters of a tail end switch valve of each fulcrum of the air pipe, a water level height value of an anoxic tank and a water level height value of an aerobic tank;
setting the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe fulcrums as a working mode under the normal working of an air pipe network, respectively obtaining n air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various working modes as self-checking data, setting the pressure values from small to large as P1, P2 and P3.... Pn, and establishing a self-checking data model according to the obtained self-checking data;
and inputting the real-time monitored data into the self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitored pressure value of the main pipe network is inconsistent with the pressure value of the main pipe network of the self-checking data.
Further, according to the method for detecting the air pipe network leakage of the sewage treatment equipment, the self-checking data of various working modes are acquired for not less than 10 times.
Further, as mentioned above, the specific method for determining the discrepancy between the real-time main pipe network pressure value and the self-checking main pipe network pressure value is as follows: and calculating (P1+ P2+ P3.. Pn)/n-A, wherein Pn-P1 is A, the value of A is a coefficient, the pressure value of the main grid monitored in real time is Px, and when Px is less than (P1+ P2+ P3.. Pn)/n-A, the pressure value of the main grid monitored in real time is different from the pressure value of the self-checking main grid.
Further, as described above, according to the method for detecting air pipe network leakage of sewage treatment equipment, after the air pipe network leakage is judged and alarm information is output, the alarm condition is manually confirmed, if the alarm is confirmed to be false alarm, the pressure value of the main pipe network monitored in real time is made to be Px, and the self-checking data corresponding to the working mode in the self-checking data model is automatically updated to be Px, P1, P2, and P3.
Further, according to the method for detecting the breakage and leakage of the air pipe network of the sewage treatment equipment, after the breakage and leakage of the air pipe network are judged and alarm information is output, the alarm condition is confirmed manually, if the alarm is confirmed to be false alarm, the coefficient A is updated to Pn-Px in a specific method when the pressure value of the real-time main pipe network is judged not to be in accordance with the pressure value of the self-checking main pipe network.
Further, according to the method for detecting the air pipe network leakage of the sewage treatment equipment, in the air pipe main network pressure values corresponding to the n water level height values of the anoxic tank and the aerobic tank which are continuously sampled in various working modes, a sample is taken from the water level height value by adopting the height of 10cm, and the liquid level height is changed into 5 change models.
The second aspect of the invention provides a pneumatic pipe network breakage and leakage detection device for sewage treatment equipment, which comprises:
a data acquisition module: collecting fan frequency and power data of sewage treatment equipment, pressure data of a main pipe network of an air pipe, operation parameters of a tail end switch valve of each fulcrum of the air pipe, a water level height value of an anoxic tank and a water level height value of an aerobic tank;
self-checking data model building module: setting the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe fulcrums as a working mode under the normal working of an air pipe network, respectively obtaining n air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various working modes as self-checking data, setting the pressure values from small to large as P1, P2 and P3.... Pn, and establishing a self-checking data model according to the obtained self-checking data;
the air pipe data analysis and judgment module: and inputting the real-time monitored data into the self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitored pressure value of the main pipe network is inconsistent with the pressure value of the main pipe network of the self-checking data.
The third aspect of the invention provides a pneumatic pipe network breakage and leakage detection system for sewage treatment equipment, which comprises a data acquisition device and a controller, wherein the data acquisition device comprises a pressure detection device arranged on a main air pipe of the sewage treatment equipment, a switch signal acquisition module connected with a terminal switch automatic control valve of each fulcrum of the air pipe, a blower fan frequency and power data acquisition circuit module of the sewage treatment equipment, an anoxic tank and an aerobic tank water level data reading circuit module, and the data acquisition device is in network communication with the controller for data transmission;
in the controller, for received data of the data acquisition device, the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe at each fulcrum under the normal work of an air pipe network are set to be a work mode, air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various work modes are respectively obtained and serve as self-checking data, the pressure values are P1, P2 and P3.... Pn from small to large, and a self-checking data model is established according to the obtained self-checking data; and then inputting the real-time monitoring data into a self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitoring main pipe network pressure value is inconsistent with the main pipe network pressure value of the self-checking data.
Further, as before a sewage treatment plant pneumatic pipe network broken leak detecting system, the controller still is connected with alarm device.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
the traditional integrated sewage equipment only has electric and automatic control equipment, and the air pipe of each plant station has different working states, and the abnormity can not be accurately judged through a pressure standard when the air pipe is indirectly detected to be broken and leaked by pressure detection. Based on the application of the internet of things technology, the invention collects the operation parameters of the fans, the pressure gauge of the main pipe network of the air pipe and the tail end automatic switch valve of each fulcrum of the air pipe, which are deployed in the integrated sewage equipment, transmits the equipment operation data to an application layer such as a controller and the like in a wired or wireless mode, analyzes and compares the operation data of the whole air pipe system for a long time, collects the pressure value states of the air pipe of the air outlet machine under various working frequencies and various switch combinations of the valve, and accurately judges the possibility of air pipe leakage if the pressure value of the main pipe network is abnormal to the pressure value under the normal condition once the leakage of the pipe network occurs in the middle. Through the data analysis mode, the data of the electrical equipment of each station can be independently analyzed, so that the rule can be found, and the applicability is high.
According to the invention, after the air pipe network is judged to be broken and leaked and alarm information is output, the alarm condition is confirmed manually, if the alarm is confirmed to be false alarm, the self-checking data corresponding to the working mode in the self-checking data model is automatically updated, the integrity and diversity of the self-checking data can be further supplemented in the actual detection and judgment work, the misjudgment rate is reduced, and accurate judgment is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a system diagram according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. The term "comprising", without further limitation, means that the element so defined is not excluded from the group consisting of additional identical elements in the process, method, article, or apparatus that comprises the element.
A method for detecting the breakage and leakage of an air pipe network of sewage treatment equipment is shown in figure 1 and comprises the following steps:
collecting fan frequency and power data of sewage treatment equipment, pressure data of a main pipe network of an air pipe, operation parameters of a tail end switch valve of each fulcrum of the air pipe, a water level height value of an anoxic tank and a water level height value of an aerobic tank;
setting the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe fulcrums as a working mode under the normal working of an air pipe network, respectively obtaining n air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various working modes as self-checking data, setting the pressure values from small to large as P1, P2 and P3.... Pn, and establishing a self-checking data model according to the obtained self-checking data;
and inputting the real-time monitored data into the self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitored pressure value of the main pipe network is inconsistent with the pressure value of the main pipe network of the self-checking data.
Because the air pipe network of the integrated sewage treatment equipment is very complicated, the main pipe network is connected with a fan to serve as a power system unit for supplying air, and the main pipe network is connected with an anoxic tank, an aerobic tank, a backwashing system and the like; the air quantity of the fan, an electric valve (switching action) connected with each process unit, the water level heights of the anoxic pond and the aerobic pond are different, and the water pressure is different (the pressure of an empty pipe is larger than the pressure of the water level and the atmospheric pressure). The difficulty is that the valve switch and the water level height connected with the air pipe are dynamically changed according to the service, and corresponding data such as dynamically changed fan frequency and the like are needed to be analyzed in order to maintain the air pipe pressure greater than the water level pressure plus atmospheric pressure index.
In a specific embodiment, in order to further ensure the integrity of the self-checking data and provide the judgment accuracy, the self-checking data of each operating mode is collected not less than 10 times.
In a specific embodiment, the specific method for determining that the real-time main pipe network pressure value does not match the self-checking main pipe network pressure value is as follows: and calculating (P1+ P2+ P3.. Pn)/n-A, wherein Pn-P1 is A, the value of A is a coefficient, the pressure value of the main grid monitored in real time is Px, and when Px is less than (P1+ P2+ P3.. Pn)/n-A, the pressure value of the main grid monitored in real time is different from the pressure value of the self-checking main grid.
In a specific embodiment, in order to reduce a false judgment rate and achieve a higher judgment accuracy, after the air pipe network is judged to be broken and alarm information is output, the alarm condition is manually confirmed, if the alarm is confirmed to be false alarm, the pressure value of the main pipe network monitored in real time is made to be Px, and self-checking data corresponding to a working mode in a self-checking data model is automatically updated to be Px, P1, P2, and P3. Only the minimum value needs to be collected as an additional sample. If Px is greater than (P1+ P2+ P3.. Pn)/n-A, then it is possible to be medial or posterior. However, for improved accuracy, if the range of values of Px collected is within P1 < Px, the samples are directly included.
Further, in the specific embodiment, after the air pipe network is judged to be broken and leaked and alarm information is output, the alarm condition is confirmed manually, if the alarm is confirmed to be false alarm, in the specific method for judging that the real-time main pipe network pressure value is not consistent with the self-checking main pipe network pressure value, the coefficient A is updated to Pn-Px.
In a specific embodiment, among the pressure values of the main pipe network of the air duct corresponding to the n water level height values of the anoxic tank and the aerobic tank which are continuously sampled in various working modes, a sample with a height of 10cm is adopted for the water level height value, and the liquid level height is changed into 5 change models.
The utility model provides a broken detection device that leaks of pneumatic pipe network of sewage treatment device, includes:
a data acquisition module: collecting fan frequency and power data of sewage treatment equipment, pressure data of a main pipe network of an air pipe, operation parameters of a tail end switch valve of each fulcrum of the air pipe, a water level height value of an anoxic tank and a water level height value of an aerobic tank;
self-checking data model building module: setting the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe fulcrums as a working mode under the normal working of an air pipe network, respectively obtaining n air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various working modes as self-checking data, setting the pressure values from small to large as P1, P2 and P3.... Pn, and establishing a self-checking data model according to the obtained self-checking data;
the air pipe data analysis and judgment module: and inputting the real-time monitored data into the self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitored pressure value of the main pipe network is inconsistent with the pressure value of the main pipe network of the self-checking data.
In a specific embodiment, the data acquisition may be, but is not limited to, a pressure detection device disposed on a main air pipe of the sewage treatment apparatus, a switching signal acquisition module connected to an end switch automatic control valve of each pivot of the air pipe, a blower fan frequency and power data acquisition circuit module of the sewage treatment apparatus, and a water level data reading circuit module of the anoxic tank and the aerobic tank, and the data acquisition device communicates with the controller network for data transmission. The pressure detection device may be, but is not limited to, a pressure sensor or a pressure data acquisition device such as a pressure gauge. The switch signal acquisition module connected with the tail end switch automatic control valves of the air pipes, the blower fan frequency and power data acquisition circuit module of the sewage treatment equipment, and the water level data reading circuit module of the anoxic pond and the aerobic pond can be but are not limited to be directly connected with the data ends of the blower, the anoxic pond and the aerobic pond by adopting a controller for acquisition.
A pneumatic pipe network breakage and leakage detection system of sewage treatment equipment comprises a data acquisition device and a controller, wherein the data acquisition device comprises a pressure detection device arranged on a main air pipe of the sewage treatment equipment, a switching signal acquisition module connected with a terminal switch automatic control valve of each fulcrum of the air pipe, a blower fan frequency and power data acquisition circuit module of the sewage treatment equipment, a facultative module pool and an aerobic pool water level data reading circuit module, and the data acquisition device is in network communication with the controller for data transmission;
in the controller, for received data of the data acquisition device, the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe at each fulcrum under the normal work of an air pipe network are set to be a work mode, air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various work modes are respectively obtained and serve as self-checking data, the pressure values are P1, P2 and P3.... Pn from small to large, and a self-checking data model is established according to the obtained self-checking data; and then inputting the real-time monitoring data into a self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitoring main pipe network pressure value is inconsistent with the main pipe network pressure value of the self-checking data.
In a specific embodiment, the pressure detection device may be, but is not limited to, a pressure sensor or a pressure data acquisition device such as a pressure gauge. The switch signal acquisition module connected with the tail end switch automatic control valves of the air pipes, the blower fan frequency and power data acquisition circuit module of the sewage treatment equipment, and the water level data reading circuit module of the anoxic pond and the aerobic pond can be but are not limited to be directly connected with the data ends of the blower, the anoxic pond and the aerobic pond by adopting a controller for acquisition.
In a specific implementation mode, the controller can be further connected with an alarm device, and when the air pipe network is judged to be broken and leaked and alarm information is output, the alarm device gives an alarm to remind a worker to check the broken and leaked condition of the air pipe. The alarm device can be any device with the functions of alarming and prompting, such as sound, light and the like.
The features and properties of the present invention are described in further detail below with reference to examples.
The method, the device and the system are combined according to a specific pneumatic pipe network leakage detection system of the sewage treatment equipment. Referring to fig. 2, the main pipe network is connected with a fan as a power system unit for supplying air, the main pipe network is connected with an anoxic tank, an aerobic tank, a backwashing system and the like, the fan is connected with a main air pipe, and the main air pipe is provided with a pressure gauge. The anoxic tank, the aerobic tank and the air stripping device are respectively connected with the branches of the 3 air pipes. The middle of the valve body is provided with a self-control valve (No. 1 and No. 3 valves) for opening and closing. The application layer (i.e., the controller in the system that performs data analysis) collects data for long periods of time for the blower (frequency magnitude, on-off state), valve (on-off state), pressure gauge (pressure reading). The sewage liquid levels of the anoxic tank and the aerobic tank in the integrated sewage treatment equipment in each time period are different, and the given air valve pressures are different. And (3) changing and testing the current pressure value of the on-off state of each valve and the frequency running state of the fan through the application layer, analyzing and comparing big data of the collected historical data, and giving a comprehensive analysis result to judge whether the air pipe has leakage or not.
After each sewage station is built, the application layer carries out model building according to equipment asset data input in advance by the station, automatically controls the operation of electrical equipment by adopting an exhaustion method, and records a data model base under the normal condition of the station:
after a unique model base for the plant station is established, data testing under normal conditions is started, the difference value between the highest position and the lowest position of the liquid levels of the aerobic pool and the anoxic pool is 0.5m, namely the pressure difference range of water is 0.5P, and in order to control the pressure precision to be 1 digit after a decimal point, therefore, data sampling is carried out in the self-testing stage of the system, the control electricity is required to be controlled to be a sampling sample at the height of 10cm at the inflow flow and the liquid level under the self-testing state of an application layer, and the liquid level height is changed into 5 change models; the model data under various conditions are collected for not less than 10 times, and the data which normally run later are collected into a model database in a sampling mode so as to supplement the integrity and diversity of the data; if one of the working modes (Y) is continuously sampled for N times, the pressure value is from small to large: p1, P2, P3. Pn-P1 ═ A (A value is coefficient)
After the self-checking data model is established, the pressure value is Px under the condition that the monitoring Y working mode is operated at a certain time, and an alarm is given if Px < (P1+ P2+ P3.. Pn)/n-A.
In the real-time pressure value comparison process, referring to fig. 1, another determination method may also be adopted: when the pressure value Px < (P1+ P2+ P3.. Pn)/n-A under a certain operation monitoring Y working mode, the system automatically controls the fan frequency and the valve state to perform a testing stage, tests the Px under a plurality of different working modes, compares the Px with data in a model database, and gives an alarm if a plurality of or all of the Px and the valve state do not accord with each other.
And manually confirming the alarm condition, namely confirming that the alarm is false alarm, recording that the Px value under the Y working mode is a normal range by the application layer, automatically updating the database to be Px, P1, P2 and P3. The system automatically completes the updating of the data model and reduces the alarm error rate.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A method for detecting the breakage and leakage of an air pipe network of sewage treatment equipment is characterized by comprising the following steps: the method comprises the following steps:
collecting fan frequency and power data of sewage treatment equipment, pressure data of a main pipe network of an air pipe, operation parameters of a tail end switch valve of each fulcrum of the air pipe, a water level height value of an anoxic tank and a water level height value of an aerobic tank;
setting the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe fulcrums as a working mode under the normal working of an air pipe network, respectively obtaining n air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various working modes as self-checking data, setting the pressure values from small to large as P1, P2 and P3.... Pn, and establishing a self-checking data model according to the obtained self-checking data;
and inputting the real-time monitored data into the self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitored pressure value of the main pipe network is inconsistent with the pressure value of the main pipe network of the self-checking data.
2. The method for detecting the breakage and leakage of the air pipe network of the sewage treatment equipment according to claim 1, which is characterized in that: the self-checking data of various working modes are collected for not less than 10 times.
3. The method for detecting the breakage and leakage of the air pipe network of the sewage treatment equipment according to claim 1, which is characterized in that: the specific method for judging whether the real-time monitored main pipe network pressure value is inconsistent with the main pipe network pressure value of the self-checking data comprises the following steps: the system carries out self-checking n times, pressure values of P1, P2 and P3.. Pn are collected, Pn-P1 is A, A is a coefficient, the pressure value of a main network monitored in real time is Px, and when Px < (P1+ P2+ P3.. Pn)/n-A, the pressure value of the main network in real time is inconsistent with the pressure value of the self-checking main network.
4. The method for detecting the breakage and leakage of the air pipe network of the sewage treatment equipment according to claim 1, which is characterized in that: after the air pipe network is judged to be broken and leaked and alarm information is output, the alarm condition is confirmed manually, if the alarm is confirmed to be false alarm, the pressure value of the main pipe network monitored in real time is made to be Px, and self-checking data corresponding to the working mode in the self-checking data model are automatically updated to be Px, P1, P2 and P3.
5. The method for detecting the breakage and leakage of the air pipe network of the sewage treatment equipment according to claim 3, which is characterized in that: and after judging that the air pipe network is broken and leaked and outputting alarm information, manually confirming the alarm condition, and if the alarm is confirmed to be false, updating the coefficient A to Pn-Px in a specific method when the pressure value of the real-time main pipe network is judged to be inconsistent with the pressure value of the self-checking main pipe network.
6. The method for detecting the breakage and leakage of the air pipe network of the sewage treatment equipment according to claim 1, which is characterized in that: in the pressure values of the air duct main pipe network corresponding to the n water level height values of the anoxic tank and the aerobic tank which are continuously sampled in various working modes, 10cm height is adopted for the water level height values to be a sampling sample, and the liquid level height is changed into 5 change models.
7. The utility model provides a broken detection device that leaks of pneumatic pipe network of sewage treatment device which characterized in that: the method comprises the following steps:
a data acquisition module: collecting fan frequency and power data of sewage treatment equipment, pressure data of a main pipe network of an air pipe, operation parameters of a tail end switch valve of each fulcrum of the air pipe, a water level height value of an anoxic tank and a water level height value of an aerobic tank;
self-checking data model building module: setting the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe fulcrums as a working mode under the normal working of an air pipe network, respectively obtaining n air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various working modes as self-checking data, setting the pressure values from small to large as P1, P2 and P3.... Pn, and establishing a self-checking data model according to the obtained self-checking data;
the air pipe data analysis and judgment module: and inputting the real-time monitored data into the self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitored pressure value of the main pipe network is inconsistent with the pressure value of the main pipe network of the self-checking data.
8. The utility model provides a broken detection system that leaks of pneumatic pipe network of sewage treatment device which characterized in that: the sewage treatment system comprises a data acquisition device and a controller, wherein the data acquisition device comprises a pressure detection device arranged on a main air pipe of the sewage treatment equipment, a switching signal acquisition module connected with a terminal switch automatic control valve of each fulcrum of the air pipe, a blower fan frequency and power data acquisition circuit module of the sewage treatment equipment, and a water level data reading circuit module of an anoxic pond and an aerobic pond;
in the controller, for received data of the data acquisition device, the same fan frequency and power data and the operation parameters of end switch valves of the same air pipe at each fulcrum under the normal work of an air pipe network are set to be a work mode, air pipe main network pressure values corresponding to n water level height values of an anoxic pool and an aerobic pool which are continuously sampled under various work modes are respectively obtained and serve as self-checking data, the pressure values are P1, P2 and P3.... Pn from small to large, and a self-checking data model is established according to the obtained self-checking data; and then inputting the real-time monitoring data into a self-checking data model to compare with the self-checking data corresponding to the working mode, and judging that the air pipe network is broken and leaked and outputting alarm information when the real-time monitoring main pipe network pressure value is inconsistent with the main pipe network pressure value of the self-checking data.
9. The pneumatic pipe network breakage and leakage detection system of sewage treatment equipment of claim 8, characterized in that: the controller is also connected with an alarm device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911170203.4A CN111022935B (en) | 2019-11-25 | 2019-11-25 | Method, device and system for detecting broken leakage of air pipe network of sewage treatment equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911170203.4A CN111022935B (en) | 2019-11-25 | 2019-11-25 | Method, device and system for detecting broken leakage of air pipe network of sewage treatment equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111022935A CN111022935A (en) | 2020-04-17 |
| CN111022935B true CN111022935B (en) | 2021-06-29 |
Family
ID=70202131
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911170203.4A Active CN111022935B (en) | 2019-11-25 | 2019-11-25 | Method, device and system for detecting broken leakage of air pipe network of sewage treatment equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111022935B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113933001A (en) * | 2020-06-29 | 2022-01-14 | 广州地铁集团有限公司 | Main air duct pressure leakage evaluation method and device based on big data and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07251144A (en) * | 1994-03-15 | 1995-10-03 | Toshiba Corp | Garbage treatment device |
| KR100802084B1 (en) * | 2006-11-24 | 2008-02-11 | 주식회사 한조엔지니어링 | A leak of water security diagnosis device of a sewage drainage |
| CN103398296A (en) * | 2013-07-29 | 2013-11-20 | 中国五冶集团有限公司 | Air pipe tightness test method, light leak test system using air pipe tightness test method, and wind pressure test system using air pipe tightness test method |
| CN206738950U (en) * | 2017-05-09 | 2017-12-12 | 山东中玻节能环保发展有限公司 | A kind of sewage disposal pipe detection device |
| CN208138883U (en) * | 2018-04-11 | 2018-11-23 | 北京城建十六建筑工程有限责任公司 | A kind of air hose measuring device |
-
2019
- 2019-11-25 CN CN201911170203.4A patent/CN111022935B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07251144A (en) * | 1994-03-15 | 1995-10-03 | Toshiba Corp | Garbage treatment device |
| KR100802084B1 (en) * | 2006-11-24 | 2008-02-11 | 주식회사 한조엔지니어링 | A leak of water security diagnosis device of a sewage drainage |
| CN103398296A (en) * | 2013-07-29 | 2013-11-20 | 中国五冶集团有限公司 | Air pipe tightness test method, light leak test system using air pipe tightness test method, and wind pressure test system using air pipe tightness test method |
| CN206738950U (en) * | 2017-05-09 | 2017-12-12 | 山东中玻节能环保发展有限公司 | A kind of sewage disposal pipe detection device |
| CN208138883U (en) * | 2018-04-11 | 2018-11-23 | 北京城建十六建筑工程有限责任公司 | A kind of air hose measuring device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111022935A (en) | 2020-04-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108680244B (en) | Rotary machine vibration wireless monitoring device and method | |
| CN101162247B (en) | Sub-health running status recognition method of electrical device | |
| CN114444259B (en) | Rain and sewage pipe network tracing and tracking system and method | |
| CN206362736U (en) | Gas monitoring system | |
| CN111669123B (en) | Method and device for fault diagnosis of photovoltaic string | |
| CN101424747A (en) | Method for predicting weather condition in localized region by mobile phone | |
| CN111022935B (en) | Method, device and system for detecting broken leakage of air pipe network of sewage treatment equipment | |
| CN115685050B (en) | Electric energy meter fault detection method and system | |
| CN109874148B (en) | Antenna feeder anomaly detection method, device and system and computer equipment | |
| CN106837768B (en) | A kind of air compressor efficiency on-line checking assessment system and method | |
| CN112665782B (en) | Gas pressure online monitoring system and online monitoring method | |
| CN112780953B (en) | Independent metering area pipe network leakage detection method based on mode detection | |
| CN110646685A (en) | Comprehensive evaluation method for state of switch cabinet | |
| CN114063003A (en) | Electric energy meter measurement error detection method and system based on cell, and storage medium | |
| CN208547674U (en) | A kind of monitoring device and monitoring system of purifier | |
| CN114554438A (en) | Urban underground pipe network data monitoring system | |
| CN210198443U (en) | Inspection well safety monitoring system | |
| CN114331128A (en) | Intelligent water affair management method, system, equipment and medium based on Internet of things | |
| CN208333541U (en) | The vacuum equipment of preventive maintenance | |
| CN216791290U (en) | Water-saving detection system based on partition and subentry metering system | |
| CN114123511B (en) | Method and system for monitoring and analyzing abnormal position of cable power distribution terminal | |
| CN213067845U (en) | System for detecting errors of pipe network water meter | |
| CN211927202U (en) | SF (sulfur hexafluoride)6Gas leakage on-line detection device in electrical equipment | |
| CN113669626B (en) | Two-stage monitoring method and system for long-distance gas pipeline network | |
| KR102365503B1 (en) | A method and apparatus for capturing odor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |