CN117489858A - Electric control valve monitoring system and method based on dynamic parameter situation - Google Patents
Electric control valve monitoring system and method based on dynamic parameter situation Download PDFInfo
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Abstract
The invention relates to the technical field of electric control valves, in particular to an electric control valve monitoring system and method based on dynamic parameter situation, comprising an acquisition layer, a construction layer and a control layer; the invention collects the distribution information and the water consumption data of building households, builds a household water valley peak dynamic model by the collected water consumption data, analyzes the household water consumption dynamic trend, matches the output water pressure of the electric control valve by the similarity of the household water valley peak dynamic model, enables the output water pressure of the electric control valve operation control in the booster pump station to adapt to the water consumption habit of the building households, reduces the continuous operation time of the electric control valve, and further achieves the purpose of reducing the energy consumption of the electric control valve operation.
Description
Technical Field
The invention relates to the technical field of electric control valves, in particular to an electric control valve monitoring system and method based on dynamic parameter situation.
Background
The electric control valve is a hydraulic electric control valve taking an electromagnetic valve as a pilot valve. The hydraulic control valve is commonly used for automatic control in water supply and drainage and industrial systems, the control reaction is accurate and rapid, the pipeline system is opened and closed by remote control according to an electric signal, remote operation is realized, the pilot valve of the hydraulic electric control valve changes along with pressure change, the pilot valve is various in variety, the pilot valve can be used singly and in combination, and the water level, the water pressure and the water quantity can be accurately regulated.
The invention patent application number 202010013001.5 discloses a valve monitoring method, which is characterized by comprising the following steps: acquiring the current actual load of the running equipment to be monitored: configuration information of all valves in the distributed control system is obtained: the configuration information is the current actual opening of the valve: and determining association data according to the configuration information and the association relation: the associated data are pressure, flow and post-valve temperature corresponding to the configuration information: determining the current running state of the valve according to the current actual load, the configuration information and the associated data: the association relation is the corresponding relation between configuration information and pressure, flow and temperature after the valve respectively: the association relation is determined through a valve logic experiment: determining a current operation state of the wide door according to the current actual load, the configuration information and the associated data, wherein the operation state of the valve is determined to be a normal state: when the error value is unchanged in the set time and the error value is not in the set interval, determining that the running state of the valve is a deviation state: and when the associated data is suddenly changed to zero, determining that the current running state of the valve is a dead point state.
The application aims at solving the problems: at present, the methods for detecting the valve leakage at home and abroad mainly comprise a manual inspection method, an ultrasonic detection technology, a vibration analysis detection method and the like. The detection methods have the advantages of high positioning precision and low false alarm rate, but the detection methods have the defects that leakage cannot be found timely, and on-line monitoring cannot be realized.
However, for civil architecture water supply, because the number of layers of residential architecture is high, so that the water supply of such architecture needs to be performed by pressurizing for secondary water supply to realize the water demand of high-rise households, at present, various hydraulic electric control valves in a pressurizing pump station and on a water supply pipeline configured for guaranteeing the water consumption of the high-rise households are continuously opened, which consumes a large amount of energy, has poor intelligence degree and is not beneficial to long-term use.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides an electric control valve monitoring system and method based on dynamic parameter situation, and solves the technical problems in the background technology.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
in a first aspect, an electrically controlled valve monitoring system based on dynamic parameter situation includes an acquisition layer, a construction layer and a control layer;
The method comprises the steps that distribution information and water consumption data of building households are acquired through an acquisition layer, the acquisition layer analyzes the water consumption data of the building households, further stores the distribution information and the water consumption data of the building households, the distribution information and the water consumption data of the building households stored in the acquisition layer are received by a construction layer, the construction layer constructs a water valley peak dynamic model of the households based on the received water consumption data, a control layer receives the obtained water valley peak dynamic model of the households constructed in the construction layer, electric control valve operation logic in a booster pump station is set based on the water valley peak dynamic model of the households, and water supply of a building water supply pipeline is controlled by applying the electric control valve operation logic;
the building layer comprises a receiving module, a building module and an analysis module, wherein the receiving module is used for receiving building resident distribution information and water consumption data stored in the acquisition layer, the building module is used for traversing and reading the building resident distribution information and the water consumption data, building a resident water valley peak dynamic model based on the building resident distribution information and the water consumption data, and the analysis module is used for acquiring a resident water valley peak dynamic model and analyzing a resident water real-time dynamic trend based on the resident water valley peak dynamic model;
The household water real-time dynamic trend analysis logic is expressed as follows:
wherein: mu is the household water trend value; n is the collection of water households; f (f) i The current water usage number of the ith resident; n (N) i The current water consumption of the ith resident; t is t 0 For housing households
Time for entering household water valley peak dynamic model; omega is the scrambling weight;the water supply position is based on the elevation of the ground level; x-shaped articles i The building floor where the ith resident is located is based on the elevation of the ground level; c (C) t Is an additional item;
wherein,the mnow is the number of households in the households water valley peak dynamic model; m is m all Is the total amount of building households; η is the building resident life-in growth rate, and the real-time dynamic trend of water consumption of the households without pressurized water supply in the building households is μ=c t And the household water trend value mu is continuously calculated based on the building household distribution information and the water data which are continuously received by the receiving module.
Further, the collection layer comprises a monitoring module, a judging module and a storage module, wherein the monitoring module is used for monitoring water consumption data of each resident in the building, the judging module is used for receiving the water consumption data of each resident in the building monitored by the monitoring module, judging water consumption behavior of each resident in the building by applying the water consumption data of each resident in the building, and the storage module is used for reading the judging result of the judging module and selecting and storing the water consumption data of each resident in the building monitored by the monitoring module based on the judging result;
The monitoring module is integrated by a plurality of groups of flow sensors, the plurality of groups of flow sensors are manually deployed at the position of each household water supply pipeline by a system end user, the flow sensors sense whether the household water supply pipeline flows through water flow and flow rate of the water flow in real time, the flow sensors sense data and household water data, judging logic is set in the judging module, the judging module judges household water behavior based on the judging logic and by using the water data, and the setting logic of the judging logic is as follows: and when the number of times and the flow rate of water flowing through the water supply pipeline in the household in the specified time threshold reach the set judgment number of times and the judgment flow rate, judging the water supply pipeline to be used as household water, wherein the household water data corresponds to the position of the water supply pipeline in the household where the flow sensor is positioned, and synchronously judging the water supply pipeline to be used as the distribution position of the building household, wherein the distribution information of the building household consists of a plurality of groups of building household distribution positions.
Further, the storage module receives the water consumption data of each resident in the building monitored by the monitoring module in real time in the operation stage, synchronously acquires the water consumption behavior judgment result of each resident in the judgment module, and sets two groups of data storage sections in the storage module, wherein the first group of storage sections are used for storing the water consumption data of each building resident in the distribution information of the building resident which is not judged by the judgment module, the water supply pipeline of the user where the flow sensor is positioned corresponds to the deployment position, and the second group of storage sections are used for storing the distribution information of the building resident and the water consumption data of each building resident in the distribution information of the building resident;
Wherein the judging module is provided with an operation period, the judging module continuously operates based on the operation period to continuously judge the household water behavior, synchronously identifies and judges the position of the household water supply pipeline where the flow sensor corresponding to the source water data is positioned when the judging result is the household water behavior, if the identification result is yes, forwarding the identification target household water supply pipeline position to the second storage section, deleting the identification target household water supply pipeline position in the first storage section, otherwise, controlling the judging module to continue to operate along with the operation period.
Furthermore, the receiving module is in operation stage, the building resident distribution information and the water consumption data stored in the second storage interval in the storage module are obtained in real time, the building resident distribution information and the water consumption data are obtained in stage, the building resident distribution information and the water consumption data are continuously obtained based on the building resident distribution information and the water consumption data storage time stamp, when the continuously obtained building resident distribution information and the water consumption data with different time stamps are not less than 5 groups, the modeling module triggers operation, the building resident distribution information and the water consumption data are applied to construct a resident water consumption peak dynamic model, after the building of the resident water consumption peak dynamic model is completed, the receiving module is further used for receiving the building resident distribution information and the water consumption data each time, the modeling module is triggered to operate, the modeling module is used for completing state alternation of the resident water consumption peak dynamic model based on the single group of the building resident distribution information and the water consumption data received by the receiving module, so that the building resident distribution information and the water consumption peak dynamic model of 5 groups are always represented.
Furthermore, the household water valley peak dynamic model is integrated by a plurality of groups of columns with the same cross section size and shape, the cross section of the column used for representing the building household distribution information and the water consumption data adopts a character mark, the building household position information is recorded, the height of the column used for representing the building household distribution information and the water consumption data is used for representing the real-time dynamic trend of the water consumption correspondingly obtained by the household water valley peak dynamic model constructed by the water consumption data.
Still further, the method further comprises the steps of,
wherein:a base score for the ith household; h is a climate effect score;
wherein the saidIs set based on the work and rest time of the ith residentThe more regular the work and rest time of the ith resident, the +.>H is set based on the ambient temperature of the area in which the building is located, h=1.1, 1.2, 1.3, or 1.4.
Further, the control layer comprises a feedback module, a capturing module and a driving module, wherein the feedback module is used for continuously receiving the household water valley peak dynamic models constructed by the modeling module in the construction layer, sending the household water valley peak dynamic models to computer equipment held by a user at a system end, the capturing module is used for capturing two groups of household water valley peak dynamic models with highest similarity among the household water valley peak dynamic models received by the feedback module, the driving module is used for acquiring two groups of household water valley peak dynamic models with highest similarity captured by the capturing module, selecting any group of household water valley peak dynamic models, solving the total amount of all household water in the selected models based on the selected household water valley peak dynamic models, and manually configuring an electric control valve at an output end of a building water supply pipeline to output water pressure;
The computer equipment held by the system end user can be any computing equipment with a network connection function, a data receiving function and a three-dimensional image display function, wherein the manually configured building water supply pipeline output end electric control valve in the driving module outputs water pressure, namely, the electric control valve in the booster pump station operates logic, after the building water supply pipeline output end electric control valve outputs water pressure, the building water supply pipeline output end electric control valve is configured, a model construction time stamp of the total water consumption source of a resident is further acquired, and the acquired time stamp and the correspondingly configured water supply pipeline output end electric control valve output water pressure are applied to daily operation of the electric control valve.
Further, the similarity of the household water valley peak dynamic model is calculated by the following formula:
wherein: s (g) i ,g j ) The similarity between the contour of the household water valley peak dynamic model i and the contour of the household water valley peak dynamic model j is obtained; d (g) i ,g j ) The Euclidean distance between the contour of the household water valley peak dynamic model i and the average position of the contour of the household water valley peak dynamic model j in the same space is obtained; alpha e Is a common variation ratio; cos (θ) i ,θ j ) The cosine value of the relative direction angle of the household water valley peak dynamic model i and the household water valley peak dynamic model j is given;
After the similarity is obtained, each household water valley peak dynamic model corresponds to another household water valley peak dynamic model, and each two groups of household water valley peak dynamic models are the two groups of household water valley peak dynamic models with the highest similarity in the household water valley peak dynamic models.
Furthermore, the receiving module is electrically connected with the modeling module and the analyzing module through a medium, the receiving module is electrically connected with the storage module through the medium, the storage module is electrically connected with the judging module through the medium, the judging module performs real-time data interaction with the monitoring module through a wireless network, the analyzing module is electrically connected with the feedback module through the medium, and the feedback module is electrically connected with the capturing module and the driving module through the medium.
In a second aspect, an electric control valve monitoring method based on dynamic parameter situation includes the following steps:
step 1: disposing flow sensors on each household water supply pipeline in the building, and capturing the flowing water flow and the flowing water flow in the household water supply pipeline by using the flow sensors;
step 11: a differential storage stage for capturing data by the flow sensor;
Step 2: judging household water consumption behaviors according to water flows flowing through water supply pipelines captured by the flow sensors and water flows flowing through the household water supply pipelines, and analyzing household building distribution information based on the household user behaviors;
step 31: constructing a household water valley peak dynamic model according to the flow data captured by the flow sensor;
step 311: a setting stage of building logic by using a water valley peak dynamic model for households;
step 312: a setting stage of the logic of the household water valley peak dynamic model alternation;
step 32: a stage of analyzing real-time dynamic trend of the resident user;
step 4: comparing the similarity of the water valley peak dynamic models of each household, and continuously obtaining two groups of water valley peak dynamic models with optimal similarity;
step 5: based on any one group of the obtained two groups of the peak-to-valley dynamic models of the household water, the total amount of the household water in the model is calculated, and the electric control valve output water pressure of the building water supply pipeline output end is manually edited and configured according to the calculated total amount of the water;
step 6: and solving a source model construction time stamp by using the output water pressure of the electric control valve at the output end of the building water supply pipeline and the total household water amount which are edited and configured, and applying the source model construction time stamp to daily operation of the electric control valve.
Compared with the prior art, the technical proposal provided by the invention has the following advantages that
The beneficial effects are that:
1. the invention provides an electric control valve monitoring system based on a dynamic parameter situation, which can monitor and manage electric control valves in booster pump stations equipped in building water supply pipelines in the operation process, collect distribution information and water data of building households in the operation stage of the system, further construct a household water valley peak dynamic model according to the collected water data, analyze household water dynamic trend, and match the output water pressure of the electric control valves according to the similarity of the household water valley peak dynamic model so that the output water pressure of the electric control valves in the booster pump stations can adapt to the water habit of the building households, the continuous operation time of the electric control valves is reduced, and the purpose of reducing the energy consumption of the electric control valves is achieved.
2. In the running process of the system, each resident in the building can be accurately monitored, the built resident water peak dynamic model is used for representing the real-time dynamic trend of the resident water data and the water user, dynamic visual data reading conditions are brought to the system end user, and the system end user is facilitated to supply water to the building resident.
3. The invention provides an electric control valve monitoring method based on a dynamic parameter situation, which can further maintain the stability of system operation by executing steps in the method, and in the executing process of the steps of the method, further refined operation logic is brought to the system operation, so that the electric control valve in a booster pump station which is monitored and controlled by the system and the method can bring more proper booster treatment to the output of household water supply.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of an electrically controlled valve monitoring system based on dynamic parameter scenarios;
FIG. 2 is a flow chart of an electrically controlled valve monitoring method based on dynamic parameter situation;
FIG. 3 is an exemplary graph of a water valley peak dynamic model for households in the present invention;
FIG. 4 is a schematic diagram of the system operation logic according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1
An electric control valve monitoring system based on dynamic parameter situation in this embodiment, as shown in fig. 1, includes an acquisition layer, a construction layer and a control layer;
the method comprises the steps that distribution information and water consumption data of building households are acquired through an acquisition layer, the acquisition layer analyzes the water consumption data of the building households, further stores the distribution information and the water consumption data of the building households, the distribution information and the water consumption data of the building households stored in the acquisition layer are received by a construction layer, the construction layer constructs a water valley peak dynamic model of the households based on the received water consumption data, a control layer receives the obtained water valley peak dynamic model of the households constructed in the construction layer, electric control valve operation logic in a booster pump station is set based on the water valley peak dynamic model of the households, and water supply of a building water supply pipeline is controlled by applying the electric control valve operation logic;
the building layer comprises a receiving module, a building module and an analysis module, wherein the receiving module is used for receiving building resident distribution information and water consumption data stored in the acquisition layer, the building module is used for traversing and reading the building resident distribution information and the water consumption data, building a resident water valley peak dynamic model based on the building resident distribution information and the water consumption data, and the analysis module is used for acquiring a resident water valley peak dynamic model and analyzing a resident water real-time dynamic trend based on the resident water valley peak dynamic model;
The real-time dynamic trend analysis logic of household water is expressed as:
wherein: mu is the household water trend value; n is the collection of water households; f (f) i The current water usage number of the ith resident; n (N) i The current water consumption of the ith resident; t is t 0 For housing households
Time for entering household water valley peak dynamic model; omega is the scrambling weight;the water supply position is based on the elevation of the ground level; x-shaped articles i The building floor where the ith resident is located is based on the elevation of the ground level; c (C) t Is an additional item;
wherein,the mnow is the number of households in the households water valley peak dynamic model; m is m all Is the total amount of building households; η is the building resident life-in growth rate, and the real-time dynamic trend of water consumption of the households without pressurized water supply in the building households is μ=c t The household water trend value mu is continuously calculated based on the building household distribution information and the water data which are continuously received by the receiving module;
the acquisition layer comprises a monitoring module, a judging module and a storage module, wherein the monitoring module is used for monitoring water consumption data of each resident in the building, the judging module is used for receiving the water consumption data of each resident in the building monitored by the monitoring module, judging water consumption behaviors of the resident by applying the water consumption data of each resident in the building, the storage module is used for reading the judging result of the judging module, and selecting and storing the water consumption data of each resident in the building monitored by the monitoring module based on the judging result;
The monitoring module is integrated by a plurality of groups of flow sensors, the plurality of groups of flow sensors are manually deployed at the position of each household water supply pipeline by a system end user, the flow sensors sense whether the household water supply pipeline flows through water flow and flow rate of the water flow in real time, the flow sensors sense data and household water data, judging logic is set in the judging module, the judging module judges household water behavior based on the judging logic and by using the water data, and the setting logic of the judging logic is as follows: the water flow times and the flow rate flowing through the water supply pipeline in the specified time threshold are judged to be household water use behavior when the set judgment times and the judgment flow rate are reached, household water use data correspond to the household water supply pipeline positions where the flow sensors are positioned, the household water use data are synchronously judged to be building household distribution positions, and the building household distribution information consists of a plurality of groups of building household distribution positions;
wherein:a base score for the ith household; h is a climate effect score;
wherein,the value of (2) is set based on the rest time of the ith resident, and the rest time of the ith resident is more regular>H is set based on the ambient temperature of the area where the building is located, h=1.1, 1.2, 1.3 or 1.4;
The control layer comprises a feedback module, a capturing module and a driving module, wherein the feedback module is used for continuously receiving the household water valley peak dynamic models constructed by the modeling module in the construction layer, sending the household water valley peak dynamic models to computer equipment held by a user at a system end, the capturing module is used for capturing two groups of household water valley peak dynamic models with highest similarity among the household water valley peak dynamic models received by the feedback module, the driving module is used for acquiring two groups of household water valley peak dynamic models with highest similarity captured by the capturing module, selecting any group of household water valley peak dynamic models, solving the total amount of all household water in the selected household water valley peak dynamic models, and manually configuring an electric control building output valve through the total amount of household water to output water pressure;
the computer equipment held by the system end user can be any computing equipment with a network connection function, a data receiving function and a three-dimensional image display function, wherein the manually configured building water supply pipeline output end electric control valve in the driving module outputs water pressure, namely the electric control valve operation logic in the booster pump station, after the building water supply pipeline output end electric control valve output water pressure is configured, the building water supply pipeline output end electric control valve operation logic further acquires a resident water consumption total amount source model construction time stamp, and the acquired time stamp and the correspondingly configured water supply pipeline output end electric control valve output water pressure are applied to daily operation of the electric control valve;
The receiving module is electrically connected with the modeling module and the analysis module through a medium, the receiving module is electrically connected with the storage module through the medium, the storage module is electrically connected with the judging module through the medium, the judging module performs real-time data interaction with the monitoring module through a wireless network, the analysis module is electrically connected with the feedback module through the medium, and the feedback module is electrically connected with the capturing module and the driving module through the medium.
In the embodiment, a monitoring module operates to monitor water consumption data of each resident in a building, a judging module synchronously receives the water consumption data of each resident in the building monitored by the monitoring module, the water consumption data of each resident in the building is used for judging water consumption behavior of the resident, a storage module is arranged at the rear end to read the judging result, the water consumption data of each resident in the building monitored by the monitoring module is selectively stored based on the judging result, a synchronous receiving module receives building resident distribution information and water consumption data stored in a collection layer, a building module operates to read the building resident distribution information and the water consumption data in a traversing way, a water supply peak dynamic model is built based on the building resident distribution information and the water consumption data, an analysis module further operates to acquire a water consumption peak dynamic model of the resident, the water consumption peak dynamic model of the resident is analyzed based on the water consumption peak dynamic model of the resident, the water consumption peak dynamic model of the resident is continuously received by a feedback module, the water consumption peak dynamic model of the resident is sent to computer equipment of a user at a system end, a capturing module synchronously captures the water consumption peak dynamic model of each resident, a user peak dynamic model of the resident is selected by a user at the end, the user is selected from a water consumption peak dynamic model of the user, and the user is selected by an electric control module, and the total water consumption dynamic model of the user is selected from the two water consumption peak dynamic models of the user groups;
Referring to fig. 3 and 4, the left three-dimensional model in fig. 3 is a model constructed after a single group of building household water data is converted into a water use real-time dynamic trend in the household water valley peak dynamic model, the right three-dimensional model is a household water valley peak dynamic model, in the actual construction stage of the model, each single group of building household corresponding models in the household water valley peak dynamic model should be different in height, the higher the number of layers of the households, the closer the distribution position in the model is to the central position of the section of the model, and fig. 4 shows the overall operation logic of the system.
Example two
On the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes an electronic control valve monitoring system based on a dynamic parameter situation in embodiment 1 with reference to fig. 1:
the storage module receives water consumption data of each household in the building monitored by the monitoring module in real time in an operation stage, synchronously acquires a household water consumption behavior judgment result in the judgment module, and is provided with two groups of data storage sections, wherein the first group of storage sections are used for storing water consumption data of each building household in the distribution information of the building household which is not judged by the judgment module, the water supply pipeline of the household where the flow sensor is positioned corresponds to the deployment position, and the second group of storage sections are used for storing the distribution information of the building household and the distribution information of the building household;
Wherein the judging module is provided with an operation period, the judging module continuously operates based on the operation period to continuously judge the household water behavior, synchronously identifies and judges the position of the household water supply pipeline where the flow sensor corresponding to the source water data is positioned when the judging result is the household water behavior, if the identification result is yes, forwarding the identification target household water supply pipeline position to the second storage section, deleting the identification target household water supply pipeline position in the first storage section, otherwise, controlling the judging module to continue to operate along with the operation period.
Through the arrangement, the storage module can store the water consumption data of building households in a specified logic manner, so that the building layer in the system can acquire the required data more accurately when acquiring the water consumption peak dynamic model construction of the households.
As shown in fig. 1, in the operation stage of the receiving module, building resident distribution information and water consumption data stored in the second storage interval in the storage module are obtained in real time, and in the building resident distribution information and water consumption data obtaining stage, building resident distribution information and water consumption data are continuously obtained based on building resident distribution information and water consumption data storage time stamps, when building resident distribution information and water consumption data with different time stamps obtained continuously are not less than 5 groups, the modeling module triggers operation, building resident distribution information and water consumption data are applied to construct a resident water valley peak dynamic model, after the building of the resident water valley peak dynamic model is completed, operation of the modeling module is triggered by further receiving building resident distribution information and water consumption data each time by the receiving module, and the modeling module is triggered to operate based on a single group of building resident distribution information and water consumption data received by the receiving module, so that the building resident water valley peak dynamic model constructed by the modeling module always represents 5 groups of building resident distribution information and water consumption data.
Through the arrangement, the household water valley peak dynamic model constructed in the system is limited, so that the constructed household water valley peak dynamic model can be constructed in a specified form.
As shown in fig. 1, the peak-to-valley dynamic model of household water is integrated by a plurality of groups of columns with the same cross section size and shape, the cross sections of the columns used for representing the distribution information of the household of the building and the water consumption data are marked by characters, the position information of the household of the building is recorded, the heights of the columns used for representing the distribution information of the household of the building and the water consumption data are used for representing the real-time dynamic trend of the water consumption correspondingly obtained by the peak-to-valley dynamic model of the household water consumption data constructed by the water consumption data.
As shown in fig. 1, the similarity of the household water valley peak dynamic model is calculated by the following formula:
wherein: s (g) i ,g j ) The similarity between the contour of the household water valley peak dynamic model i and the contour of the household water valley peak dynamic model j is obtained; d (g) i ,g j ) The Euclidean distance between the contour of the household water valley peak dynamic model i and the average position of the contour of the household water valley peak dynamic model j in the same space is obtained; alpha e Is a common variation ratio; cos (θ) i ,θ j ) The cosine value of the relative direction angle of the household water valley peak dynamic model i and the household water valley peak dynamic model j is given;
After the similarity is obtained, each household water valley peak dynamic model corresponds to another household water valley peak dynamic model, and each two groups of household water valley peak dynamic models are the two groups of household water valley peak dynamic models with the highest similarity in the household water valley peak dynamic models.
Through the calculation of the formula, the similarity between the valley-peak models of the households is obtained, and necessary data support is provided for the operation of the capturing module and the driving module in the control layer.
Example III
On the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes an electronic control valve monitoring system based on a dynamic parameter situation in embodiment 1 with reference to fig. 2:
an electric control valve monitoring method based on dynamic parameter situation comprises the following steps:
step 1: disposing flow sensors on each household water supply pipeline in the building, and capturing the flowing water flow and the flowing water flow in the household water supply pipeline by using the flow sensors;
step 11: a differential storage stage for capturing data by the flow sensor;
step 2: judging household water consumption behaviors according to water flows flowing through water supply pipelines captured by the flow sensors and water flows flowing through the household water supply pipelines, and analyzing household building distribution information based on the household user behaviors;
Step 31: constructing a household water valley peak dynamic model according to the flow data captured by the flow sensor;
step 311: a setting stage of building logic by using a water valley peak dynamic model for households;
step 312: a setting stage of the logic of the household water valley peak dynamic model alternation;
step 32: a stage of analyzing real-time dynamic trend of the resident user;
step 4: comparing the similarity of the water valley peak dynamic models of each household, and continuously obtaining two groups of water valley peak dynamic models with optimal similarity;
step 5: based on any one group of the obtained two groups of the peak-to-valley dynamic models of the household water, the total amount of the household water in the model is calculated, and the electric control valve output water pressure of the building water supply pipeline output end is manually edited and configured according to the calculated total amount of the water;
step 6: and solving a source model construction time stamp by using the output water pressure of the electric control valve at the output end of the building water supply pipeline and the total household water amount which are edited and configured, and applying the source model construction time stamp to daily operation of the electric control valve.
In summary, in the above embodiment, the system can monitor and manage the electric control valve in the booster pump station equipped in the building water supply pipeline in the operation process, in the system operation stage, collect the distribution information and water data of building households, further construct a household water valley peak dynamic model according to the collected water data, analyze the household water valley peak dynamic trend, and match the output water pressure of the electric control valve according to the similarity of the household water valley peak dynamic model, so that the output water pressure of the electric control valve in the booster pump station can adapt to the water habit of building households, reduce the continuous operation time of the electric control valve, and further achieve the purpose of reducing the energy consumption of the electric control valve operation; in the running process of the system, each resident in the building can be accurately monitored, the built resident water valley peak dynamic model is used for representing the real-time dynamic trend of the resident water data and the water user, dynamic visual data reading conditions are brought to the system end user, and the system end user is facilitated to supply water to the building resident; meanwhile, the method provided by the embodiment can further maintain the stability of the system operation, and in the step execution process of the method, further refined operation logic is brought to the system operation, so that the electric control valve in the booster pump station monitored and controlled by the system and the method can bring more proper booster treatment to the output of household water supply.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An electric control valve monitoring system based on dynamic parameter situation is characterized by comprising an acquisition layer, a construction layer and a control layer;
the method comprises the steps that distribution information and water consumption data of building households are acquired through an acquisition layer, the acquisition layer analyzes the water consumption data of the building households, further stores the distribution information and the water consumption data of the building households, the distribution information and the water consumption data of the building households stored in the acquisition layer are received by a construction layer, the construction layer constructs a water valley peak dynamic model of the households based on the received water consumption data, a control layer receives the obtained water valley peak dynamic model of the households constructed in the construction layer, electric control valve operation logic in a booster pump station is set based on the water valley peak dynamic model of the households, and water supply of a building water supply pipeline is controlled by applying the electric control valve operation logic;
The building layer comprises a receiving module, a building module and an analysis module, wherein the receiving module is used for receiving building resident distribution information and water consumption data stored in the acquisition layer, the building module is used for traversing and reading the building resident distribution information and the water consumption data, building a resident water valley peak dynamic model based on the building resident distribution information and the water consumption data, and the analysis module is used for acquiring a resident water valley peak dynamic model and analyzing a resident water real-time dynamic trend based on the resident water valley peak dynamic model;
the household water real-time dynamic trend analysis logic is expressed as follows:
wherein: mu is the household water trend value; n is the collection of water households; f (f) i The current water usage number of the ith resident; n (N) i The current water consumption of the ith resident; t is t 0 Loading the time of the household water peak dynamic model for the household; omega * Is a disturbing weight;the water supply position is based on the elevation of the ground level; x-shaped articles i The building floor where the ith resident is located is based on the elevation of the ground level; c (C) t Is an additional item;
wherein,m now the number of households in the water valley peak dynamic model of the households; m is m all Is the total amount of building households; η is the building resident life-in growth rate, and the real-time dynamic trend of water consumption of the households without pressurized water supply in the building households is μ=c t And the household water trend value mu is continuously calculated based on the building household distribution information and the water data which are continuously received by the receiving module.
2. The electric control valve monitoring system based on the dynamic parameter situation according to claim 1, wherein the acquisition layer comprises a monitoring module, a judging module and a storage module, the monitoring module is used for monitoring water use data of each resident in the building, the judging module is used for receiving the water use data of each resident in the building monitored by the monitoring module, the water use behavior of each resident in the building is judged by applying the water use data of each resident in the building, the storage module is used for reading the judging result of the judging module, and the water use data of each resident in the building monitored by the monitoring module is selected and stored based on the judging result;
the monitoring module is integrated by a plurality of groups of flow sensors, the plurality of groups of flow sensors are manually deployed at the position of each household water supply pipeline by a system end user, the flow sensors sense whether the household water supply pipeline flows through water flow and flow rate of the water flow in real time, the flow sensors sense data and household water data, judging logic is set in the judging module, the judging module judges household water behavior based on the judging logic and by using the water data, and the setting logic of the judging logic is as follows: and when the number of times and the flow rate of water flowing through the water supply pipeline in the household in the specified time threshold reach the set judgment number of times and the judgment flow rate, judging the water supply pipeline to be used as household water, wherein the household water data corresponds to the position of the water supply pipeline in the household where the flow sensor is positioned, and synchronously judging the water supply pipeline to be used as the distribution position of the building household, wherein the distribution information of the building household consists of a plurality of groups of building household distribution positions.
3. The electric control valve monitoring system based on the dynamic parameter situation according to claim 2, wherein the storage module receives the water consumption data of each resident in the building monitored by the monitoring module in real time in the operation stage, synchronously acquires the water consumption behavior judgment result of each resident in the judgment module, and sets two groups of data storage sections in the storage module, wherein the first group of storage sections are used for storing the water consumption data of each resident in the distribution information of the building, which is not judged by the judgment module, of the water supply pipeline of the user where the flow sensor is located corresponds to the deployment position, and the second group of storage sections are used for storing the distribution information of the building and the distribution information of the building resident;
wherein the judging module is provided with an operation period, the judging module continuously operates based on the operation period to continuously judge the household water behavior, synchronously identifies and judges the position of the household water supply pipeline where the flow sensor corresponding to the source water data is positioned when the judging result is the household water behavior, if the identification result is yes, forwarding the identification target household water supply pipeline position to the second storage section, deleting the identification target household water supply pipeline position in the first storage section, otherwise, controlling the judging module to continue to operate along with the operation period.
4. The system of claim 1, wherein the receiving module is configured to acquire building household distribution information and water usage data stored in the second storage section in the storage module in real time during an operation stage of the receiving module, and the building household distribution information and water usage data acquiring stage is configured to continuously acquire the building household distribution information and the water usage data based on the building household distribution information and the water usage data storage time stamps, and when the continuously acquired building household distribution information and water usage data with different time stamps are not less than 5 groups, the modeling module triggers the operation, the building household distribution information and the water usage data are applied to construct a household water valley peak dynamic model, and after the building household water valley dynamic model is constructed, the receiving module is further configured to receive the building household distribution information and the water usage data each time, and the modeling module is triggered to operate, so that the building household water valley dynamic model constructed by the modeling module always represents 5 groups of building household distribution information and water usage data.
5. The system of claim 4, wherein the peak-to-valley dynamic model of the household is integrated by a plurality of sets of columns with equal cross sections, the cross sections of the columns used for representing the distribution information of the household and the water consumption data are marked by characters, the position information of the household is recorded, the height of the columns used for representing the distribution information of the household and the water consumption data is recorded, and the real-time dynamic trend of the water consumption is correspondingly obtained by the peak-to-valley dynamic model of the household constructed by the water consumption data.
6. A dynamic parameter situation based on claim 1An electric control valve monitoring system is characterized in that,
wherein:a base score for the ith household; h is a climate effect score;
wherein the saidThe value of (2) is set based on the rest time of the ith resident, and the rest time of the ith resident is more regular>H is set based on the ambient temperature of the area in which the building is located, h=1.1, 1.2, 1.3, or 1.4.
7. The electric control valve monitoring system based on the dynamic parameter situation as claimed in claim 1, wherein the control layer comprises a feedback module, a capturing module and a driving module, the feedback module is used for continuously receiving the household water valley peak dynamic model constructed by the modeling module in the construction layer, sending the household water valley peak dynamic model to computer equipment held by a system end user, the capturing module is used for capturing two groups of household water valley peak dynamic models with highest similarity among the household water valley peak dynamic models received by the feedback module, the driving module is used for obtaining two groups of household water valley peak dynamic models with highest similarity captured by the capturing module, selecting any group of household water valley peak dynamic models, solving the total amount of all household water in the selected household water valley peak dynamic models, and manually configuring the electric control valve output end of a building water supply pipeline to output water pressure through the household water total amount;
The computer equipment held by the system end user can be any computing equipment with a network connection function, a data receiving function and a three-dimensional image display function, wherein the manually configured building water supply pipeline output end electric control valve in the driving module outputs water pressure, namely, the electric control valve in the booster pump station operates logic, after the building water supply pipeline output end electric control valve outputs water pressure, the building water supply pipeline output end electric control valve is configured, a model construction time stamp of the total water consumption source of a resident is further acquired, and the acquired time stamp and the correspondingly configured water supply pipeline output end electric control valve output water pressure are applied to daily operation of the electric control valve.
8. The system for monitoring an electronically controlled valve based on dynamic parameter scenarios of claim 7, wherein the similarity of the households' water valley peak dynamic model is calculated by the following formula:
wherein: s (g) i ,g j ) The similarity between the contour of the household water valley peak dynamic model i and the contour of the household water valley peak dynamic model j is obtained; d (g) i ,g j ) The Euclidean distance between the contour of the household water valley peak dynamic model i and the average position of the contour of the household water valley peak dynamic model j in the same space is obtained; alpha e Is a common variation ratio; cos (θ) i ,θ j ) The cosine value of the relative direction angle of the household water valley peak dynamic model i and the household water valley peak dynamic model j is given;
after the similarity is obtained, each household water valley peak dynamic model corresponds to another household water valley peak dynamic model, and each two groups of household water valley peak dynamic models are the two groups of household water valley peak dynamic models with the highest similarity in the household water valley peak dynamic models.
9. The system of claim 1, wherein the receiving module is electrically connected with the modeling module and the analyzing module through a medium, the receiving module is electrically connected with the storage module through a medium, the storage module is electrically connected with the judging module through a medium, the judging module performs real-time data interaction with the monitoring module through a wireless network, the analyzing module is electrically connected with the feedback module through a medium, and the feedback module is electrically connected with the capturing module and the driving module through a medium.
10. An electric control valve monitoring method based on dynamic parameter situation, which is an implementation method of an electric control valve monitoring system based on dynamic parameter situation as set forth in any one of claims 1-9, and is characterized by comprising the following steps:
Step 1: disposing flow sensors on each household water supply pipeline in the building, and capturing the flowing water flow and the flowing water flow in the household water supply pipeline by using the flow sensors;
step 11: a differential storage stage for capturing data by the flow sensor;
step 2: judging household water consumption behaviors according to water flows flowing through water supply pipelines captured by the flow sensors and water flows flowing through the household water supply pipelines, and analyzing household building distribution information based on the household user behaviors;
step 31: constructing a household water valley peak dynamic model according to the flow data captured by the flow sensor;
step 311: a setting stage of building logic by using a water valley peak dynamic model for households;
step 312: a setting stage of the logic of the household water valley peak dynamic model alternation;
step 32: a stage of analyzing real-time dynamic trend of the resident user;
step 4: comparing the similarity of the water valley peak dynamic models of each household, and continuously obtaining two groups of water valley peak dynamic models with optimal similarity;
step 5: based on any one group of the obtained two groups of the peak-to-valley dynamic models of the household water, the total amount of the household water in the model is calculated, and the electric control valve output water pressure of the building water supply pipeline output end is manually edited and configured according to the calculated total amount of the water;
Step 6: and solving a source model construction time stamp by using the output water pressure of the electric control valve at the output end of the building water supply pipeline and the total household water amount which are edited and configured, and applying the source model construction time stamp to daily operation of the electric control valve.
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Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003323211A (en) * | 1993-07-20 | 2003-11-14 | Mitsubishi Electric Corp | Device for managing building |
| EP1772038A2 (en) * | 2004-07-02 | 2007-04-11 | Optimal Licensing Corporation | System and method for delivery and management of end-user services |
| CN201382492Y (en) * | 2009-02-18 | 2010-01-13 | 福州福大自动化科技有限公司 | Solar energy and heat pump control system in high-rise residential building |
| CN101937220A (en) * | 2010-08-13 | 2011-01-05 | 深圳市建恒测控股份有限公司 | Building water supply intelligent management system and method thereof |
| US20110218885A1 (en) * | 2010-03-08 | 2011-09-08 | Sarah Manski | System and method for supply chain and relationship mapping |
| CN103218536A (en) * | 2013-04-26 | 2013-07-24 | 珠江水利委员会珠江水利科学研究院 | Great-leap-forward development area water demand prediction method |
| CN105549557A (en) * | 2015-12-16 | 2016-05-04 | 天津市奥朗新能源科技有限公司 | Real-time dynamic 3D water balance monitoring system of power plant and working method of system |
| CN205427501U (en) * | 2016-03-22 | 2016-08-03 | 吉林上东科技有限公司 | A water supply information acquisition controlling means for building safety coefficient |
| IN201721010970A (en) * | 2017-03-28 | 2017-05-19 | ||
| CN108876656A (en) * | 2018-06-27 | 2018-11-23 | 中国水利水电科学研究院 | A kind of evaluation method of industry water competitiveness |
| CN108960610A (en) * | 2018-06-27 | 2018-12-07 | 中国水利水电科学研究院 | It is a kind of to use water competitiveness index calculation method |
| WO2019114191A1 (en) * | 2017-12-14 | 2019-06-20 | 特斯联（北京）科技有限公司 | Internet of things-based building operation device status monitoring and visual analysis system |
| CN111291076A (en) * | 2020-01-16 | 2020-06-16 | 江苏禹治流域管理技术研究院有限公司 | Abnormal water use monitoring and alarming system based on big data and construction method thereof |
| CN112578690A (en) * | 2020-12-18 | 2021-03-30 | 山东盛帆蓝海电气有限公司 | Intelligent building energy consumption management and control system and method |
| CN114879565A (en) * | 2022-05-17 | 2022-08-09 | 中建八局南方建设有限公司 | Smart building regulation and control management system based on big data analysis |
| CN116931524A (en) * | 2023-07-25 | 2023-10-24 | 江苏猎人安防科技有限公司 | Intelligent monitoring system and process for building |
-
2023
- 2023-11-01 CN CN202311437457.4A patent/CN117489858A/en active Pending
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003323211A (en) * | 1993-07-20 | 2003-11-14 | Mitsubishi Electric Corp | Device for managing building |
| EP1772038A2 (en) * | 2004-07-02 | 2007-04-11 | Optimal Licensing Corporation | System and method for delivery and management of end-user services |
| CN201382492Y (en) * | 2009-02-18 | 2010-01-13 | 福州福大自动化科技有限公司 | Solar energy and heat pump control system in high-rise residential building |
| US20110218885A1 (en) * | 2010-03-08 | 2011-09-08 | Sarah Manski | System and method for supply chain and relationship mapping |
| CN101937220A (en) * | 2010-08-13 | 2011-01-05 | 深圳市建恒测控股份有限公司 | Building water supply intelligent management system and method thereof |
| CN103218536A (en) * | 2013-04-26 | 2013-07-24 | 珠江水利委员会珠江水利科学研究院 | Great-leap-forward development area water demand prediction method |
| CN105549557A (en) * | 2015-12-16 | 2016-05-04 | 天津市奥朗新能源科技有限公司 | Real-time dynamic 3D water balance monitoring system of power plant and working method of system |
| CN205427501U (en) * | 2016-03-22 | 2016-08-03 | 吉林上东科技有限公司 | A water supply information acquisition controlling means for building safety coefficient |
| IN201721010970A (en) * | 2017-03-28 | 2017-05-19 | ||
| WO2019114191A1 (en) * | 2017-12-14 | 2019-06-20 | 特斯联（北京）科技有限公司 | Internet of things-based building operation device status monitoring and visual analysis system |
| CN108876656A (en) * | 2018-06-27 | 2018-11-23 | 中国水利水电科学研究院 | A kind of evaluation method of industry water competitiveness |
| CN108960610A (en) * | 2018-06-27 | 2018-12-07 | 中国水利水电科学研究院 | It is a kind of to use water competitiveness index calculation method |
| CN111291076A (en) * | 2020-01-16 | 2020-06-16 | 江苏禹治流域管理技术研究院有限公司 | Abnormal water use monitoring and alarming system based on big data and construction method thereof |
| CN112578690A (en) * | 2020-12-18 | 2021-03-30 | 山东盛帆蓝海电气有限公司 | Intelligent building energy consumption management and control system and method |
| CN114879565A (en) * | 2022-05-17 | 2022-08-09 | 中建八局南方建设有限公司 | Smart building regulation and control management system based on big data analysis |
| CN116931524A (en) * | 2023-07-25 | 2023-10-24 | 江苏猎人安防科技有限公司 | Intelligent monitoring system and process for building |
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