CN108805297B - Data analysis method and system for intelligent water purifier - Google Patents
Data analysis method and system for intelligent water purifier Download PDFInfo
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- CN108805297B CN108805297B CN201810397280.2A CN201810397280A CN108805297B CN 108805297 B CN108805297 B CN 108805297B CN 201810397280 A CN201810397280 A CN 201810397280A CN 108805297 B CN108805297 B CN 108805297B
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Abstract
The invention discloses a data analysis method and a data analysis system for an intelligent water purifier, which comprise the following steps: a device data statistics step, namely generating a device data statistics table and generating a user distribution map according to the using units in the device information; an operation data statistics step, wherein an operation data statistics table is generated in a server; and analyzing and deciding, namely sending the management suggestion to a management terminal. An administrator can check the database and the management suggestions of each water purifier through the management terminal, data support and scientific suggestions are provided for the management of the water purifiers, particularly, when a plurality of water purifiers need to be managed, the manual data statistics and data analysis of the administrator are not needed, the manual statistical errors are reduced, the working intensity of the administrator is relieved, the data has reliability and real-time performance, the management suggestions obtained by the server are more scientific and effective, and the big data management mode of the water purifiers is realized.
Description
Technical Field
The invention relates to the field of water purifier equipment, in particular to a data analysis method and system for an intelligent water purifier.
Background
The water purifier is water treatment equipment for performing deep purification treatment on water quality according to the use requirement of the water. The water purifiers can be divided into various types according to different purification principles and processes, wherein the RO reverse osmosis technology has high filtration precision (the filtration precision is 0.0001 micron), and because the aperture of the reverse osmosis membrane is five parts per million of hair, only water molecules and dissolved oxygen are allowed to pass through, and almost all harmful substances such as pesticides, bacteria, viruses, heavy metals and the like contained in water are intercepted and removed, the water purifiers are widely used, and especially a certain number of water purifiers are needed in campuses, large enterprises and public institutions, comprehensive visiting places and the like.
However, the existing water purifiers cannot realize networking information intercommunication, when an operator operates a plurality of water purifiers simultaneously, a lot of manpower and time are consumed for management and real-time monitoring of the water purifiers, errors and data hysteresis are easy to occur in artificial statistics, and a manager easily influences management due to data analysis errors. Therefore, a corresponding water purifier data analysis method and system must be developed to realize big data management of the water purifier.
Disclosure of Invention
The invention aims to provide an intelligent water purifier data analysis method and system which can realize networking information intercommunication and provide data support and scientific suggestions for water purifier management.
In order to achieve the purpose, the invention adopts the following technical scheme:
the intelligent water purifier data analysis method comprises a plurality of water purifiers with built-in intelligent control systems, wherein the water purifiers are in communication connection with a server, each intelligent control system comprises a sensor module and a data acquisition module, and the intelligent water purifier data analysis method comprises the following steps:
the method comprises the steps of equipment data statistics, wherein a server generates and stores identity codes of all water purifiers, equipment information of all water purifiers is input into the server, the equipment information and the identity codes of the water purifiers are bound and stored in the server, the equipment information comprises model specifications, using units and installation positions, and therefore an equipment data statistics table is generated in the server, and a user distribution map is generated according to the using units in the equipment information;
an operation data statistics step, wherein a sensor module of the intelligent control system detects operation data of the water purifier, a data acquisition module sends the operation data and an identity code to a server, and the server binds and stores the operation data and the identity code, so that an operation data statistics table is generated in the server;
and in the analysis decision step, the server establishes a database of each water purifier, the database stores the equipment data statistical table, the user distribution diagram and the operation data statistical table of each water purifier, and the server obtains a management suggestion of each water purifier by calling and analyzing a plurality of diagrams of the database and sends the management suggestion to the management terminal.
Preferably, the method further comprises the following steps:
a fault data statistics step, wherein when the water purifier breaks down, a sensor module of the intelligent control system detects fault data of the water purifier, a data acquisition module sends the fault data and an identity code to a server, the server binds and stores the fault data and the identity code, and the fault data comprises a fault type code, a fault part number and a fault part position, so that a fault data statistics table is generated in the server;
in the step of analyzing and deciding, the server calls and analyzes a fault data statistical table: the fault types are ranked according to the occurrence frequency from more to less, then the corresponding maintenance method and the use cautionary matters are added according to the management suggestions obtained by the fault types of the water purifier frequently, and the corresponding part replacement optimization suggestions are added according to the management suggestions obtained by the parts of the water purifier frequently having faults.
Preferably, in the running data statistics step, the running data are a water usage value, a raw water TDS value, a discharged water TDS value, a filter element use time and an RO membrane use time, and the running data statistics table comprises a water usage amount time-varying sequence, a raw water TDS value time-varying sequence and a discharged water TDS value time-varying sequence;
in the analysis decision step, the server calls and analyzes an operation data statistical table:
analyzing a large water consumption time period and a small water consumption time period according to a time sequence of water consumption, and adding a water supply amount time adjusting method according to the obtained management suggestion;
when the analyzed water consumption is close to the water supply amount or the water shortage condition occurs, adding a device specification replacement prompt in the obtained management suggestion;
analyzing the change fluctuation rate of the raw water TDS value and the change fluctuation rate of the effluent TDS value according to the sequence of the raw water TDS value changing with time and the sequence of the effluent TDS value changing with time, and adding a water quality optimization reminder according to the obtained management advice when the change fluctuation rate of the raw water TDS value or the change fluctuation rate of the effluent TDS value exceeds a preset fluctuation rate;
when the service time of the filter element is analyzed to reach the preset service life of the filter element, the obtained management suggestion is added with a filter element replacement prompt;
and when the service time of the RO membrane is analyzed to reach the preset service life of the RO membrane, adding an RO membrane replacement prompt according to the obtained management suggestion.
Preferably, the method further comprises the following steps:
a maintenance allocation step, wherein the server calls and analyzes the user distribution diagram to generate a maintenance personnel distribution diagram, and the maintenance personnel distribution diagram designates water purifiers in charge of each maintenance personnel;
and when a certain water purifier breaks down, the server sends a maintenance prompt to a maintenance terminal corresponding to a maintainer according to the maintainer distribution map.
Preferably, the method further comprises the following steps:
and (3) routing inspection planning, wherein the server calls and analyzes fault data statistical tables of all water purifiers: firstly, sequencing all water purifiers according to the fault times in unit time from more to less, and then generating routing inspection planning suggestions corresponding to all the water purifiers according to the fact that the routing inspection times of the water purifiers in the unit time are more in the water purifiers in the front of the sequencing, wherein the routing inspection planning suggestions specify the routing inspection times and the routing inspection interval time of all the water purifiers in the unit time and send the routing inspection planning suggestions to a maintenance terminal;
and distribution adjustment, namely calling and analyzing the routing inspection planning suggestions by the server, counting the total number of the routing inspection times of the water purifiers in each unit area so as to generate a routing inspection time distribution map, adjusting the maintainer distribution map according to the routing inspection time distribution map, and increasing more maintainers in the unit area with the larger total number of the routing inspection times.
Preferably, the intelligent water purifier data analysis system comprises a plurality of water purifiers with built-in intelligent control systems, wherein the water purifiers are in communication connection with the server, and each intelligent control system comprises a sensor module and a data acquisition module;
the sensor module of the intelligent control system is used for detecting the operation data of the water purifier;
the data acquisition module is used for sending the operation data and the identity code to the server;
the server includes:
the equipment data statistics module is used for generating and storing the identity codes of the water purifiers and inputting the equipment information of the water purifiers, the equipment information and the identity codes of the water purifiers are bound and stored in the server, the equipment information comprises model specifications, using units and installation positions, an equipment data statistics table is generated, and a user distribution diagram is generated according to the using units in the equipment information;
the operation data statistical module is used for binding and storing the operation data and the identity codes so as to generate an operation data statistical table;
and the analysis decision module is used for establishing a database of each water purifier, storing the equipment data statistical table, the user distribution map and the operation data statistical table of each water purifier, obtaining a management suggestion of each water purifier by calling and analyzing a plurality of charts of the database, and sending the management suggestion to the management terminal.
Preferably, the sensor module of the intelligent control system is further used for detecting fault data of the water purifier when the water purifier fails;
the data acquisition module is also used for sending the fault data and the identity code to the server;
the server further comprises:
the fault data statistical module is used for binding and storing fault data and the identity codes, wherein the fault data comprise fault type codes, fault part numbers and fault part positions, and therefore a fault data statistical table is generated;
the analyzing and deciding step is also used for calling and analyzing a fault data statistical table: the fault types are ranked according to the occurrence frequency from more to less, then the corresponding maintenance method and the use cautionary matters are added according to the management suggestions obtained by the fault types of the water purifier frequently, and the corresponding part replacement optimization suggestions are added according to the management suggestions obtained by the parts of the water purifier frequently having faults.
Preferably, the running data are water usage value, raw water TDS value, effluent TDS value, filter element usage time and RO membrane usage time, and the running data statistical table comprises a sequence of water usage over time, a sequence of raw water TDS value over time and a sequence of effluent TDS value over time;
the analysis decision module is further used for calling and analyzing the operation data statistical table:
analyzing a large water consumption time period and a small water consumption time period according to a time sequence of water consumption, and adding a water supply amount time adjusting method according to the obtained management suggestion;
when the analyzed water consumption is close to the water supply amount or the water shortage condition occurs, adding a device specification replacement prompt in the obtained management suggestion;
analyzing the change fluctuation rate of the raw water TDS value and the change fluctuation rate of the effluent TDS value according to the sequence of the raw water TDS value changing with time and the sequence of the effluent TDS value changing with time, and adding a water quality optimization reminder according to the obtained management advice when the change fluctuation rate of the raw water TDS value or the change fluctuation rate of the effluent TDS value exceeds a preset fluctuation rate;
when the service time of the filter element is analyzed to reach the preset service life of the filter element, the obtained management suggestion is added with a filter element replacement prompt;
and when the service time of the RO membrane is analyzed to reach the preset service life of the RO membrane, adding an RO membrane replacement prompt according to the obtained management suggestion.
Preferably, the server further comprises:
the maintenance distribution module is used for calling and analyzing the user distribution diagram to generate a maintenance personnel distribution diagram, and the maintenance personnel distribution diagram designates water purifiers in charge of each maintenance personnel;
and when a certain water purifier breaks down, sending a maintenance prompt to a maintenance terminal corresponding to a maintainer according to the maintainer distribution map.
Preferably, the server further comprises:
and the routing inspection planning module is used for calling and analyzing fault data statistical tables of all water purifiers: firstly, sequencing all water purifiers according to the fault times in unit time from more to less, and then generating routing inspection planning suggestions corresponding to all the water purifiers according to the fact that the routing inspection times of the water purifiers in the unit time are more in the water purifiers in the front of the sequencing, wherein the routing inspection planning suggestions specify the routing inspection times and the routing inspection interval time of all the water purifiers in the unit time and send the routing inspection planning suggestions to a maintenance terminal;
and the distribution adjusting module is used for calling and analyzing the routing inspection planning suggestions, counting the total number of the routing inspection times of the water purifiers in each unit area so as to generate a routing inspection time distribution map, adjusting the maintainer distribution map according to the routing inspection time distribution map, and increasing more maintainers in the unit area with the larger total number of the routing inspection times.
Preferably, the intelligent water purifier of the intelligent water purifier data analysis method comprises an intelligent control system, wherein the intelligent control system comprises a sensor module and a data acquisition module;
the sensor module is used for detecting the operation data of the water purifier;
the data acquisition module is used for sending the operation data and the identity code to the server.
The intelligent water purifier data analysis method comprises the steps of establishing a unique identity code for each water purifier, detecting operation data of the water purifiers through an intelligent control system, collecting the received data by a server, generating an equipment data statistical table, a user distribution diagram and an operation data statistical table, enabling each water purifier to correspond to a unique database, generating a targeted management suggestion for the water purifiers through calling and analyzing the equipment data statistical table, the user distribution diagram and the operation data statistical table of the database by the server, sending the management suggestion to a management terminal, enabling an administrator to check the database and the management suggestion of each water purifier through the management terminal, providing data support and scientific suggestions for the management of the water purifiers, particularly providing no manual data statistics and analysis by the administrator when a plurality of water purifiers need to be managed, reducing manual statistical errors and lightening the working intensity of the administrator, the data has reliability and real-time performance, so that the management suggestion obtained by the server is more scientific and effective, and a big data management mode of the water purifier is realized.
Drawings
The drawings are further illustrative of the invention and the content of the drawings does not constitute any limitation of the invention.
FIG. 1 is a schematic structural diagram of a data analysis system of an intelligent water purifier according to an embodiment of the present invention;
FIG. 2 is a flow chart of a data analysis method of an intelligent water purifier according to an embodiment of the present invention;
FIG. 3 is a flow diagram of maintenance recommendation generation, in accordance with one embodiment of the present invention;
FIG. 4 is a flow chart of water quality optimization suggestion generation according to one embodiment of the present invention;
FIG. 5 is a flow diagram of maintenance allocation recommendation generation, according to one embodiment of the present invention;
fig. 6 is a flowchart of the patrol planning recommendation generation according to one embodiment of the present invention.
Wherein: a water purifier 1; a server 2; a management terminal 3; the terminal 4 is maintained.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
The data analysis method of the intelligent water purifier in the embodiment is shown in fig. 1, and includes a plurality of water purifiers 1 with built-in intelligent control systems, the water purifiers 1 are in communication connection with a server 2, the intelligent control systems include sensor modules and data acquisition modules, and as shown in fig. 2, the data analysis method includes the following steps:
the method comprises the steps of equipment data statistics, wherein a server 2 generates and stores identity codes of all water purifiers 1, equipment information of all the water purifiers 1 is recorded in the server 2, the equipment information and the identity codes of the water purifiers 1 are bound and stored in the server 2, the equipment information comprises model specifications, using units and installation positions, and therefore an equipment data statistical table is generated in the server 2, and a user distribution diagram is generated according to the using units in the equipment information;
an operation data statistics step, wherein a sensor module of the intelligent control system detects operation data of the water purifier 1, a data acquisition module sends the operation data and an identity code to a server 2, and the server 2 binds and stores the operation data and the identity code, so that an operation data statistics table is generated in the server 2;
analyzing and deciding, wherein the server 2 establishes a database of each water purifier 1, the database stores the equipment data statistical table, the user distribution map and the operation data statistical table of each water purifier 1, the server 2 obtains the management suggestions of each water purifier 1 by calling and analyzing a plurality of graphs of the database, and sends the management suggestions to the management terminal 3.
The intelligent water purifier data analysis method comprises the steps of establishing a unique identity code for each water purifier 1, detecting operation data of the water purifiers 1 through an intelligent control system, enabling a server 2 to collect received data and generate an equipment data statistical table, a user distribution diagram and an operation data statistical table, enabling each water purifier 1 to correspond to a unique database, enabling the server 2 to generate a targeted management suggestion for the water purifiers 1 through calling and analyzing the equipment data statistical table, the user distribution diagram and the operation data statistical table of the database and sending the targeted management suggestion to a management terminal 3, enabling an administrator to check the database and the management suggestion of each water purifier 1 through the management terminal 3, providing data support and scientific suggestions for management of the water purifiers 1, particularly enabling the administrator not to manually count data and analyze data when a plurality of water purifiers 1 need to be managed, and reducing manual statistical errors, the working intensity of an administrator is reduced, and the data has reliability and real-time performance, so that the management suggestion obtained by the server 2 is more scientific and effective, and the big data management mode of the water purifier 1 is realized. Management terminal 3 and 2 communication connection of server, management terminal 3 is the mobile terminal who has downloaded management APP application software, and mobile terminal is cell-phone, panel computer etc. and the identity code can be string or two-dimensional code.
Preferably, as shown in fig. 3, the method further includes:
a fault data statistics step, wherein when a fault occurs in the water purifier 1, a sensor module of the intelligent control system detects fault data of the water purifier 1, a data acquisition module sends the fault data and an identity code to a server 2, the server 2 binds and stores the fault data and the identity code, and the fault data comprises a fault type code, a fault part number and a fault part position, so that a fault data statistics table is generated in the server 2;
in the analysis decision step, the server 2 calls and analyzes a fault data statistical table: firstly, fault types are sorted according to the occurrence frequency from more to less, then corresponding maintenance methods and use cautions are added according to the management suggestions obtained by the fault types of the water purifier 1, and corresponding part replacement optimization suggestions are added according to the management suggestions obtained by the parts of the water purifier 1 with faults.
The server 2 can know what types of faults frequently occur in the water purifiers 1 by analyzing the fault data statistical table of the water purifiers 1, so that corresponding maintenance methods and use cautions are searched out in a preset decision base or through the internet, an administrator can clearly know the maintenance methods and the use cautions of each water purifier 1, and the administrator can conveniently maintain and maintain each water purifier 1 with higher pertinence; moreover, it can be known what parts of the water purifier 1 frequently break down, so that the corresponding part replacement optimization suggestions are searched out in a preset decision library or through the internet, and an administrator can clearly know which parts need to be replaced and which parts need to be optimized and upgraded in each water purifier 1.
Preferably, as shown in fig. 4, in the running data statistics step, the running data are a water usage value, a raw water TDS value, a discharged water TDS value, a filter element use time and an RO membrane use time, and the running data statistics table includes a sequence of changes in water usage amount with time, a sequence of changes in raw water TDS value with time and a sequence of changes in discharged water TDS value with time;
in the analysis decision step, the server 2 calls and analyzes the operation data statistical table:
analyzing a large water consumption time period and a small water consumption time period according to a time sequence of water consumption, and adding a water supply amount time adjusting method according to the obtained management suggestion;
when the analyzed water consumption is close to the water supply amount or the water shortage condition occurs, adding a device specification replacement prompt in the obtained management suggestion;
analyzing the change fluctuation rate of the raw water TDS value and the change fluctuation rate of the effluent TDS value according to the sequence of the raw water TDS value changing with time and the sequence of the effluent TDS value changing with time, and adding a water quality optimization reminder according to the obtained management advice when the change fluctuation rate of the raw water TDS value or the change fluctuation rate of the effluent TDS value exceeds a preset fluctuation rate;
when the service time of the filter element is analyzed to reach the preset service life of the filter element, the obtained management suggestion is added with a filter element replacement prompt;
and when the service time of the RO membrane is analyzed to reach the preset service life of the RO membrane, adding an RO membrane replacement prompt according to the obtained management suggestion.
The server 2 continuously tracks and counts each operation data of the water purifier 1, and generates a water consumption time-varying sequence, a raw water TDS value time-varying sequence and a discharged water TDS value time-varying sequence, so that the operation and use trend of the water purifier 1 is analyzed, and data support is provided for the management of the water purifier 1.
The server 2 analyzes a large water consumption time period and a small water consumption time period according to a time-varying sequence of water consumption, so that a corresponding water supply amount time-varying adjusting method is searched in a preset decision base or through the Internet, and the water supply amount time-varying adjusting method enables an administrator to know the time period when the water consumption of the water purifier 1 is large and the time period when the water consumption is small, and adjusts the working time of the water purifier 1 according to the water supply amount change, so that the water supply amount of the water purifier 1 is increased in the time period when the water demand is large, and the water supply amount is reduced in the time period when the water demand is small.
When analysis water consumption is close to the water supply, or the lack of water condition appears, server 2 sends to management terminal 3 and changes equipment specification and remind, lets the administrator in time change purifier 1 that corresponds to improve the water supply of purifier 1, satisfy this regional water demand.
Server 2 continuously analyzes raw water TDS value change fluctuation rate and goes out water TDS value change fluctuation rate, when raw water TDS value change fluctuation rate or go out water TDS value change fluctuation rate and exceed predetermined fluctuation rate, sends quality of water optimization to management terminal 3 and reminds, lets the administrator in time detect the quality of water that corresponds purifier 1, in time optimizes quality of water, avoids this regional user to drink by mistake and receive the contaminated water.
Server 2 still counts filter core live time and RO membrane live time, can in time remind the administrator to change filter core and RO membrane (reverse osmosis membrane promptly), need not administrator's manual record live time, avoids the administrator to forget to change overdue filter core and RO membrane and leads to quality of water to descend.
Preferably, as shown in fig. 5, the method further comprises the following steps:
a maintenance allocation step, in which the server 2 calls and analyzes the user distribution diagram to generate a maintenance person distribution diagram, and the maintenance person distribution diagram designates the water purifier 1 in charge of each maintenance person;
and when a certain water purifier 1 breaks down, the server 2 sends a maintenance prompt to the maintenance terminal 4 corresponding to the maintainer according to the maintainer distribution map.
The server 2 allocates maintenance personnel according to the user distribution diagram to generate a maintenance personnel distribution diagram, and the maintenance personnel distribution diagram specifies each maintenance personnel to be responsible for the water purifier 1 in which area in the user distribution diagram, namely, grid maintenance responsibility division is performed, so that the water purifier 1 can be maintained in a centralized manner. Moreover, when a certain water purifier 1 breaks down, the server 2 automatically sends a maintenance prompt to the maintenance terminal 4 corresponding to the maintenance staff according to the identity code and the maintenance staff distribution diagram of the water purifier 1, so that the corresponding maintenance staff can timely know the fault condition and timely maintain the water purifier 1, the server 2 detects the fault and prompts the maintenance staff, an administrator does not need to contact the maintenance staff, the response is quicker, and the maintenance is quicker. The maintenance terminal 4 is a mobile terminal which downloads maintenance APP software, and the mobile terminal is a mobile phone, a tablet computer and the like.
Preferably, as shown in fig. 6, the method further comprises the following steps:
and (3) routing inspection planning, wherein the server 2 calls and analyzes fault data statistical tables of all the water purifiers 1: firstly, sequencing all water purifiers 1 according to the fault times in unit time from more to less, then generating routing inspection planning suggestions corresponding to the water purifiers 1 according to the fact that the routing inspection times of the water purifiers 1 which are sequenced more forward are more in the unit time, wherein the routing inspection planning suggestions specify the routing inspection times and routing inspection interval time of the water purifiers 1 in the unit time, and send the routing inspection planning suggestions to a maintenance terminal 4;
and a distribution adjusting step, wherein the server 2 calls and analyzes the routing inspection planning suggestions, counts the total number of routing inspection times of the water purifier 1 in each unit area, generates a routing inspection time distribution diagram, adjusts the maintainer distribution diagram according to the routing inspection time distribution diagram, and increases more maintainers in unit areas with larger total number of routing inspection times.
The server 2 analyzes the fault data statistical tables of all the water purifiers 1, and can know which water purifiers 1 with more fault times in unit time are, and the unit time can be set to be one week, one month or one quarter, so that the routing inspection times of the water purifiers 1 with more fault times in unit time are increased and the routing inspection interval time of the water purifiers 1 with more fault times in unit time is shortened, for example, the routing inspection times of the water purifiers 1 with the most fault times in one month can be set to be 6, and the routing inspection intervals of two adjacent times are 5 days; and the water purifier 1 with the least failure frequency in one month can set the inspection frequency to be 2 times in one month, and the interval between two adjacent inspections is 15 days. Therefore, a maintainer can make a more scientific inspection scheme according to the inspection planning suggestion, and the inspection efficiency and the inspection quality are improved.
And the server 2 counts the total number of polling times of the water purifiers 1 in each unit area according to the polling planning suggestion to generate a polling time distribution diagram, and can know which unit area has a larger total number of polling times of the water purifiers 1, and the unit area can be set to be 100 meters in a square circle, 1000 meters in a square circle and the like, so that more maintenance personnel are distributed to the unit area with the larger polling time, the number of the maintenance personnel is reduced in the unit area with the smaller polling time, and the maintenance personnel distribution diagram is adjusted and optimized through the statistical analysis of polling big data, so that the distribution of the maintenance personnel is more scientific and efficient.
Preferably, the intelligent water purifier data analysis system, as shown in fig. 1, comprises a plurality of water purifiers 1 with built-in intelligent control systems, wherein the water purifiers 1 are in communication connection with a server 2, and each intelligent control system comprises a sensor module and a data acquisition module;
the sensor module of the intelligent control system is used for detecting the operation data of the water purifier 1;
the data acquisition module is used for sending the operation data and the identity code to the server 2;
the server 2 includes:
the equipment data statistics module is used for generating and storing the identity codes of the water purifiers 1 and inputting the equipment information of the water purifiers 1, the equipment information and the identity codes of the water purifiers 1 are bound and stored in the server 2, the equipment information comprises model specifications, using units and installation positions, an equipment data statistics table is generated, and a user distribution diagram is generated according to the using units in the equipment information;
the operation data statistical module is used for binding and storing the operation data and the identity codes so as to generate an operation data statistical table;
and the analysis decision module is used for establishing a database of each water purifier 1, storing the equipment data statistical table, the user distribution map and the operation data statistical table of each water purifier 1 in the database, obtaining a management suggestion of each water purifier 1 by calling and analyzing a plurality of graphs of the database, and sending the management suggestion to the management terminal 3.
The intelligent water purifier data analysis system establishes a unique identity code for each water purifier 1, detects operation data of the water purifiers 1 through an intelligent control system, so that the server 2 collects the received data and generates an equipment data statistical table, a user distribution diagram and an operation data statistical table, each water purifier 1 corresponds to a unique database, the server 2 generates a targeted management suggestion for the water purifiers 1 through calling and analyzing the equipment data statistical table, the user distribution diagram and the operation data statistical table of the database and sends the targeted management suggestion to the management terminal 3, an administrator can check the database and the management suggestion of each water purifier 1 through the management terminal 3 to provide data support and scientific suggestions for the management of the water purifiers 1, particularly, the administrator does not need to manually count data and analyze data when a plurality of water purifiers 1 need to be managed, and artificial statistical errors are reduced, the working intensity of an administrator is reduced, and the data has reliability and real-time performance, so that the management suggestion obtained by the server 2 is more scientific and effective, and the big data management mode of the water purifier 1 is realized. Management terminal 3 and 2 communication connection of server, management terminal 3 is the mobile terminal who has downloaded management APP application software, and mobile terminal is cell-phone, panel computer etc. and the identity code can be string or two-dimensional code.
Preferably, the sensor module of the intelligent control system is further configured to detect fault data of the water purifier 1 when the water purifier 1 fails;
the data acquisition module is also used for sending the fault data and the identity code to the server 2;
the server 2 further includes:
the fault data statistical module is used for binding and storing fault data and the identity codes, wherein the fault data comprise fault type codes, fault part numbers and fault part positions, and therefore a fault data statistical table is generated;
the analyzing and deciding step is also used for calling and analyzing a fault data statistical table: firstly, fault types are sorted according to the occurrence frequency from more to less, then corresponding maintenance methods and use cautions are added according to the management suggestions obtained by the fault types of the water purifier 1, and corresponding part replacement optimization suggestions are added according to the management suggestions obtained by the parts of the water purifier 1 with faults.
The server 2 can know what types of faults frequently occur in the water purifiers 1 by analyzing the fault data statistical table of the water purifiers 1, so that corresponding maintenance methods and use cautions are searched out in a preset decision base or through the internet, an administrator can clearly know the maintenance methods and the use cautions of each water purifier 1, and the administrator can conveniently maintain and maintain each water purifier 1 with higher pertinence; moreover, it can be known what parts of the water purifier 1 frequently break down, so that the corresponding part replacement optimization suggestions are searched out in a preset decision library or through the internet, and an administrator can clearly know which parts need to be replaced and which parts need to be optimized and upgraded in each water purifier 1.
Preferably, the running data are water usage value, raw water TDS value, effluent TDS value, filter element usage time and RO membrane usage time, and the running data statistical table comprises a sequence of water usage over time, a sequence of raw water TDS value over time and a sequence of effluent TDS value over time;
the analysis decision module is further used for calling and analyzing the operation data statistical table:
analyzing a large water consumption time period and a small water consumption time period according to a time sequence of water consumption, and adding a water supply amount time adjusting method according to the obtained management suggestion;
when the analyzed water consumption is close to the water supply amount or the water shortage condition occurs, adding a device specification replacement prompt in the obtained management suggestion;
analyzing the change fluctuation rate of the raw water TDS value and the change fluctuation rate of the effluent TDS value according to the sequence of the raw water TDS value changing with time and the sequence of the effluent TDS value changing with time, and adding a water quality optimization reminder according to the obtained management advice when the change fluctuation rate of the raw water TDS value or the change fluctuation rate of the effluent TDS value exceeds a preset fluctuation rate;
when the service time of the filter element is analyzed to reach the preset service life of the filter element, the obtained management suggestion is added with a filter element replacement prompt;
and when the service time of the RO membrane is analyzed to reach the preset service life of the RO membrane, adding an RO membrane replacement prompt according to the obtained management suggestion.
The server 2 continuously tracks and counts each operation data of the water purifier 1, and generates a water consumption time-varying sequence, a raw water TDS value time-varying sequence and a discharged water TDS value time-varying sequence, so that the operation and use trend of the water purifier 1 is analyzed, and data support is provided for the management of the water purifier 1.
The server 2 analyzes a large water consumption time period and a small water consumption time period according to a time-varying sequence of water consumption, so that a corresponding water supply amount time-varying adjusting method is searched in a preset decision base or through the Internet, and the water supply amount time-varying adjusting method enables an administrator to know the time period when the water consumption of the water purifier 1 is large and the time period when the water consumption is small, and adjusts the working time of the water purifier 1 according to the water supply amount change, so that the water supply amount of the water purifier 1 is increased in the time period when the water demand is large, and the water supply amount is reduced in the time period when the water demand is small.
When analysis water consumption is close to the water supply, or the lack of water condition appears, server 2 sends to management terminal 3 and changes equipment specification and remind, lets the administrator in time change purifier 1 that corresponds to improve the water supply of purifier 1, satisfy this regional water demand.
Server 2 continuously analyzes raw water TDS value change fluctuation rate and goes out water TDS value change fluctuation rate, when raw water TDS value change fluctuation rate or go out water TDS value change fluctuation rate and exceed predetermined fluctuation rate, sends quality of water optimization to management terminal 3 and reminds, lets the administrator in time detect the quality of water that corresponds purifier 1, in time optimizes quality of water, avoids this regional user to drink by mistake and receive the contaminated water.
Server 2 still counts filter core live time and RO membrane live time, can in time remind the administrator to change filter core and RO membrane (reverse osmosis membrane promptly), need not administrator's manual record live time, avoids the administrator to forget to change overdue filter core and RO membrane and leads to quality of water to descend.
Preferably, the server 2 further comprises:
the maintenance distribution module is used for calling and analyzing the user distribution diagram to generate a maintenance personnel distribution diagram, and the maintenance personnel distribution diagram designates the water purifier 1 in charge of each maintenance personnel;
and when a certain water purifier 1 breaks down, sending a maintenance prompt to a maintenance terminal 4 corresponding to a maintainer according to the maintainer distribution map.
The server 2 allocates maintenance personnel according to the user distribution diagram to generate a maintenance personnel distribution diagram, and the maintenance personnel distribution diagram specifies each maintenance personnel to be responsible for the water purifier 1 in which area in the user distribution diagram, namely, grid maintenance responsibility division is performed, so that the water purifier 1 can be maintained in a centralized manner. Moreover, when a certain water purifier 1 breaks down, the server 2 automatically sends a maintenance prompt to the maintenance terminal 4 corresponding to the maintenance staff according to the identity code and the maintenance staff distribution diagram of the water purifier 1, so that the corresponding maintenance staff can timely know the fault condition and timely maintain the water purifier 1, the server 2 detects the fault and prompts the maintenance staff, an administrator does not need to contact the maintenance staff, the response is quicker, and the maintenance is quicker. The maintenance terminal 4 is a mobile terminal which downloads maintenance APP software, and the mobile terminal is a mobile phone, a tablet computer and the like.
Preferably, the server 2 further comprises:
and the routing inspection planning module is used for calling and analyzing fault data statistical tables of all the water purifiers 1: firstly, sequencing all water purifiers 1 according to the fault times in unit time from more to less, then generating routing inspection planning suggestions corresponding to the water purifiers 1 according to the fact that the routing inspection times of the water purifiers 1 which are sequenced more forward are more in the unit time, wherein the routing inspection planning suggestions specify the routing inspection times and routing inspection interval time of the water purifiers 1 in the unit time, and send the routing inspection planning suggestions to a maintenance terminal 4;
and the distribution adjusting module is used for calling and analyzing the routing inspection planning suggestions, counting the total number of the routing inspection times of the water purifier 1 in each unit area so as to generate a routing inspection time distribution map, adjusting the maintainer distribution map according to the routing inspection time distribution map, and increasing more maintainers in the unit area with the larger total number of the routing inspection times.
The server 2 analyzes the fault data statistical tables of all the water purifiers 1, and can know which water purifiers 1 with more fault times in unit time are, and the unit time can be set to be one week, one month or one quarter, so that the routing inspection times of the water purifiers 1 with more fault times in unit time are increased and the routing inspection interval time of the water purifiers 1 with more fault times in unit time is shortened, for example, the routing inspection times of the water purifiers 1 with the most fault times in one month can be set to be 6, and the routing inspection intervals of two adjacent times are 5 days; and the water purifier 1 with the least failure frequency in one month can set the inspection frequency to be 2 times in one month, and the interval between two adjacent inspections is 15 days. Therefore, a maintainer can make a more scientific inspection scheme according to the inspection planning suggestion, and the inspection efficiency and the inspection quality are improved.
And the server 2 counts the total number of polling times of the water purifiers 1 in each unit area according to the polling planning suggestion to generate a polling time distribution diagram, and can know which unit area has a larger total number of polling times of the water purifiers 1, and the unit area can be set to be 100 meters in a square circle, 1000 meters in a square circle and the like, so that more maintenance personnel are distributed to the unit area with the larger polling time, the number of the maintenance personnel is reduced in the unit area with the smaller polling time, and the maintenance personnel distribution diagram is adjusted and optimized through the statistical analysis of polling big data, so that the distribution of the maintenance personnel is more scientific and efficient.
Preferably, the intelligent water purifier of the intelligent water purifier data analysis method comprises an intelligent control system, wherein the intelligent control system comprises a sensor module and a data acquisition module;
the sensor module is used for detecting the operation data of the water purifier 1;
the data acquisition module is used for sending the operation data and the identity code to the server 2.
The technical principle of the present invention is described above in connection with specific embodiments. The description is made for the purpose of illustrating the principles of the invention and should not be construed in any way as limiting the scope of the invention. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive effort, which would fall within the scope of the present invention.
Claims (4)
1. The intelligent water purifier data analysis method comprises a plurality of water purifiers with built-in intelligent control systems, wherein the water purifiers are in communication connection with a server, each intelligent control system comprises a sensor module and a data acquisition module, and the intelligent water purifier data analysis method is characterized by comprising the following steps:
the method comprises the steps of equipment data statistics, wherein a server generates and stores identity codes of all water purifiers, equipment information of all water purifiers is input into the server, the equipment information and the identity codes of the water purifiers are bound and stored in the server, the equipment information comprises model specifications, using units and installation positions, and therefore an equipment data statistics table is generated in the server, and a user distribution map is generated according to the using units in the equipment information;
an operation data statistics step, wherein a sensor module of the intelligent control system detects operation data of the water purifier, a data acquisition module sends the operation data and an identity code to a server, and the server binds and stores the operation data and the identity code, so that an operation data statistics table is generated in the server;
analyzing and deciding, namely establishing a database of each water purifier by a server, wherein the database stores the equipment data statistical table, the user distribution map and the operation data statistical table of each water purifier, and obtaining a management suggestion of each water purifier by the server by calling and analyzing a plurality of charts of the database, and sending the management suggestion to a management terminal;
further comprising the steps of:
a maintenance allocation step, wherein the server calls and analyzes the user distribution diagram to generate a maintenance personnel distribution diagram, and the maintenance personnel distribution diagram designates water purifiers in charge of each maintenance personnel;
when a certain water purifier breaks down, the server sends a maintenance prompt to a maintenance terminal corresponding to a maintainer according to the maintainer distribution map;
and (3) routing inspection planning, wherein the server calls and analyzes fault data statistical tables of all water purifiers: firstly, sequencing all water purifiers according to the fault times in unit time from more to less, and then generating routing inspection planning suggestions corresponding to all the water purifiers according to the fact that the routing inspection times of the water purifiers in the unit time are more in the water purifiers in the front of the sequencing, wherein the routing inspection planning suggestions specify the routing inspection times and the routing inspection interval time of all the water purifiers in the unit time and send the routing inspection planning suggestions to a maintenance terminal;
a distribution adjustment step, in which the server calls and analyzes the routing inspection planning suggestions, counts the total number of routing inspection times of the water purifiers in each unit area so as to generate a routing inspection time distribution map, and adjusts the maintainer distribution map according to the routing inspection time distribution map, wherein the larger the total number of routing inspection times, the more maintainers are added in the unit area;
further comprising:
a fault data statistics step, wherein when the water purifier breaks down, a sensor module of the intelligent control system detects fault data of the water purifier, a data acquisition module sends the fault data and an identity code to a server, the server binds and stores the fault data and the identity code, and the fault data comprises a fault type code, a fault part number and a fault part position, so that a fault data statistics table is generated in the server;
in the step of analyzing and deciding, the server calls and analyzes a fault data statistical table: the method comprises the steps of firstly sorting fault types from more to less according to occurrence times, then searching out corresponding maintenance methods and use cautions in a preset decision-making base or through the Internet according to the fault types frequently occurring in the water purifier, then adding the corresponding maintenance methods and the use cautions in the obtained management suggestions, searching out corresponding part replacement optimization suggestions in the preset decision-making base or through the Internet according to the parts frequently occurring in the water purifier, and then adding the corresponding part replacement optimization suggestions in the obtained management suggestions.
2. The intelligent water purifier data analysis method according to claim 1, wherein:
in the running data statistics step, the running data are water consumption value, raw water TDS value, effluent TDS value, filter element using time and RO membrane using time, and the running data statistics table comprises a sequence of water consumption changing with time, a sequence of raw water TDS value changing with time and a sequence of effluent TDS value changing with time;
in the analysis decision step, the server calls and analyzes an operation data statistical table:
analyzing a large water consumption time period and a small water consumption time period according to a time sequence of water consumption, and adding a water supply amount time adjusting method according to the obtained management suggestion;
when the analyzed water consumption is close to the water supply amount or the water shortage condition occurs, adding a device specification replacement prompt in the obtained management suggestion;
analyzing the change fluctuation rate of the raw water TDS value and the change fluctuation rate of the effluent TDS value according to the sequence of the raw water TDS value changing with time and the sequence of the effluent TDS value changing with time, and adding a water quality optimization reminder according to the obtained management advice when the change fluctuation rate of the raw water TDS value or the change fluctuation rate of the effluent TDS value exceeds a preset fluctuation rate;
when the service time of the filter element is analyzed to reach the preset service life of the filter element, the obtained management suggestion is added with a filter element replacement prompt;
and when the service time of the RO membrane is analyzed to reach the preset service life of the RO membrane, adding an RO membrane replacement prompt according to the obtained management suggestion.
3. The utility model provides an intelligence purifier data analysis system, includes many built-in intelligent control system's purifiers, purifier and server communication are connected, intelligent control system includes sensor module and data acquisition module, its characterized in that:
the sensor module of the intelligent control system is used for detecting the operation data of the water purifier;
the data acquisition module is used for sending the operation data and the identity code to the server;
the server includes:
the equipment data statistics module is used for generating and storing the identity codes of the water purifiers and inputting the equipment information of the water purifiers, the equipment information and the identity codes of the water purifiers are bound and stored in the server, the equipment information comprises model specifications, using units and installation positions, an equipment data statistics table is generated, and a user distribution diagram is generated according to the using units in the equipment information;
the operation data statistical module is used for binding and storing the operation data and the identity codes so as to generate an operation data statistical table;
the analysis decision module is used for establishing a database of each water purifier, storing the equipment data statistical table, the user distribution map and the operation data statistical table of each water purifier, obtaining a management suggestion of each water purifier by calling and analyzing a plurality of charts of the database, and sending the management suggestion to the management terminal;
the server further comprises:
the maintenance distribution module is used for calling and analyzing the user distribution diagram to generate a maintenance personnel distribution diagram, and the maintenance personnel distribution diagram designates water purifiers in charge of each maintenance personnel;
when a certain water purifier breaks down, sending a maintenance prompt to a maintenance terminal corresponding to a maintainer according to the maintainer distribution map;
the server further comprises:
and the routing inspection planning module is used for calling and analyzing fault data statistical tables of all water purifiers: firstly, sequencing all water purifiers according to the fault times in unit time from more to less, and then generating routing inspection planning suggestions corresponding to all the water purifiers according to the fact that the routing inspection times of the water purifiers in the unit time are more in the water purifiers in the front of the sequencing, wherein the routing inspection planning suggestions specify the routing inspection times and the routing inspection interval time of all the water purifiers in the unit time and send the routing inspection planning suggestions to a maintenance terminal;
the distribution adjusting module is used for calling and analyzing the routing inspection planning suggestions, counting the total number of the routing inspection times of the water purifiers in each unit area so as to generate a routing inspection time distribution map, and adjusting the maintainer distribution map according to the routing inspection time distribution map, wherein the larger the total number of the routing inspection times, the more maintainers are added in the unit area;
the sensor module of the intelligent control system is also used for detecting fault data of the water purifier when the water purifier fails;
the data acquisition module is also used for sending the fault data and the identity code to the server;
the server further comprises:
the fault data statistical module is used for binding and storing fault data and the identity codes, wherein the fault data comprise fault type codes, fault part numbers and fault part positions, and therefore a fault data statistical table is generated;
the analysis decision module is also used for calling and analyzing a fault data statistical table: the method comprises the steps of firstly sorting fault types from more to less according to occurrence times, then searching out corresponding maintenance methods and use cautions in a preset decision-making base or through the Internet according to the fault types frequently occurring in the water purifier, then adding the corresponding maintenance methods and the use cautions in the obtained management suggestions, searching out corresponding part replacement optimization suggestions in the preset decision-making base or through the Internet according to the parts frequently occurring in the water purifier, and then adding the corresponding part replacement optimization suggestions in the obtained management suggestions.
4. The intelligent water purifier data analysis system of claim 3, wherein:
the running data are water consumption value, raw water TDS value, effluent TDS value, filter element using time and RO membrane using time, and the running data statistical table comprises a sequence of water consumption changing with time, a sequence of raw water TDS value changing with time and a sequence of effluent TDS value changing with time;
the analysis decision module is further used for calling and analyzing the operation data statistical table:
analyzing a large water consumption time period and a small water consumption time period according to a time sequence of water consumption, and adding a water supply amount time adjusting method according to the obtained management suggestion;
when the analyzed water consumption is close to the water supply amount or the water shortage condition occurs, adding a device specification replacement prompt in the obtained management suggestion;
analyzing the change fluctuation rate of the raw water TDS value and the change fluctuation rate of the effluent TDS value according to the sequence of the raw water TDS value changing with time and the sequence of the effluent TDS value changing with time, and adding a water quality optimization reminder according to the obtained management advice when the change fluctuation rate of the raw water TDS value or the change fluctuation rate of the effluent TDS value exceeds a preset fluctuation rate;
when the service time of the filter element is analyzed to reach the preset service life of the filter element, the obtained management suggestion is added with a filter element replacement prompt;
and when the service time of the RO membrane is analyzed to reach the preset service life of the RO membrane, adding an RO membrane replacement prompt according to the obtained management suggestion.
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| CN105521648A (en) * | 2016-01-29 | 2016-04-27 | 四川长虹电器股份有限公司 | Fault management system for intelligent water purifier |
| CN106228465A (en) * | 2016-07-28 | 2016-12-14 | 广西净水先生水处理设备有限公司 | A kind of water purifier management system for internet of things |
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| CN105807742A (en) * | 2016-03-10 | 2016-07-27 | 京东方科技集团股份有限公司 | Production equipment monitoring method and system |
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| CN105521648A (en) * | 2016-01-29 | 2016-04-27 | 四川长虹电器股份有限公司 | Fault management system for intelligent water purifier |
| CN106228465A (en) * | 2016-07-28 | 2016-12-14 | 广西净水先生水处理设备有限公司 | A kind of water purifier management system for internet of things |
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