CN113128756A - User behavior analysis algorithm for water, electricity, gas and heat system - Google Patents
User behavior analysis algorithm for water, electricity, gas and heat system Download PDFInfo
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- CN113128756A CN113128756A CN202110371663.4A CN202110371663A CN113128756A CN 113128756 A CN113128756 A CN 113128756A CN 202110371663 A CN202110371663 A CN 202110371663A CN 113128756 A CN113128756 A CN 113128756A
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- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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Abstract
The invention provides a user behavior analysis algorithm for a water, electricity and gas thermal system, and relates to the technical field of water, electricity and gas thermal management. The method comprises the following steps: the method comprises the following steps: information acquisition: collecting water, electricity, gas, heat and other information of a user, collecting the use amount and the use time, and performing the step two: auxiliary reference information acquisition: auxiliary reference information is directly connected with a local meteorological office, and temperature, humidity, rainwater and wind speed are collected, and the third step is that: big data processing: the information of water, electricity, gas, heat and the like and the auxiliary reference information are subjected to labeling management to serve as reference standards. The water, electricity, gas and heat usage and the usage time under the corresponding environment are obtained by carrying out multi-group measurement and calculation on the average usage and the usage time of the water, electricity, gas and heat under different environments, the accuracy is ensured, a pen fan has larger algorithm system errors, and secondly, in the subsequent warning process, the measurement and calculation accuracy is higher, the sufficient safety can be ensured, and the safety problem caused by the false report and the missed report is avoided.
Description
Technical Field
The invention relates to the technical field of water, electricity and gas heat management, in particular to a user behavior analysis algorithm of a water, electricity and gas heat system.
Background
At present, four industries of water, electricity, gas and heat are mainly managed by different public utilities, the management main bodies are different, the characteristics of the industries of water, electricity, gas and heat are different, the requirement for data acquisition is different, the application level of the intelligent meter in each industry is different, and the condition that four sets of different remote meter reading systems are respectively operated by the water, electricity, gas and heat public utilities in one region exists, so that the acquisition equipment resources, the system resources and the communication resources are wasted, the comprehensive cost of local enterprises is increased, and meanwhile, the system operation interference and the installation wiring interference exist in the operation process of each system, so that the reduction of the social comprehensive cost and the reduction of the total social investment are not facilitated.
The method can realize efficient unified management along with the unified management of subsequent water, electricity, gas and heat meters, but most of the existing management systems simply process and calculate collected data and do not effectively calculate and count generated data, so that the influence of the environment on the behaviors of users cannot be predicted in the subsequent use process, such as high temperature in summer, a large amount of refrigeration equipment is used, the load of a power grid is increased, the load of water, electricity, gas and heat is increased, and the use state of the users cannot be detected according to the data in the subsequent use process, so that the safety problems, such as natural gas leakage, water leakage and the like, caused by the careless use of a use end are avoided.
Disclosure of Invention
The invention aims to provide a user behavior analysis algorithm for a water, electricity, gas and heat system. The water, electricity, gas and heat consumption and the service time under the corresponding environment are obtained by carrying out multi-group measurement and calculation on the average consumption and the service time of water, electricity, gas and heat under different environments, so that when a user is conveniently portrayed, the user can be used as an accurate data source to ensure the accuracy, a pen fan has larger algorithm system errors, and secondly, in the subsequent warning process, the higher measurement and calculation precision can ensure the sufficient safety and avoid the safety problem caused by the false report and the missed report.
In order to solve the problems of poor environment-friendly performance and low structural strength, the invention provides the following technical scheme: a user behavior analysis algorithm for a water, electricity, gas and heat system comprises the following steps:
the method comprises the following steps: information acquisition: the method comprises the steps of collecting water, electricity, gas, heat and other information of a user, and collecting the usage amount and the usage time.
Step two: auxiliary reference information acquisition: and the auxiliary reference information is directly connected with a local meteorological office to collect temperature, humidity, rainwater and wind speed.
Step three: big data processing: the information of water, electricity, gas, heat and the like and the auxiliary reference information are subjected to labeling management to serve as reference standards.
Step four: user portrait and status list management: and (3) performing portrait modeling on the living habits of the users, and judging the actual living habits.
Step five: early warning and emergency terminal: and carrying out preliminary judgment on the generated abnormal condition, and carrying out corresponding rescue and warning measures after triggering an emergency prompt.
Further, according to the operation steps in the first step, the water, electricity, gas and heat information is collected into the usage amount and the usage time, wherein the usage amount and the usage time are managed by adopting a list through collected information, a usage amount line graph is respectively made, the usage time is collected, the average daily usage amount is calculated, and the sample time for information collection is set to be one year.
Further, according to the operation steps in the first step, the average value of daily usage of the water, electricity, gas and heat is recorded as a reference quantity K, the usage amount of the water, electricity, gas and heat is recorded as B, and the usage time of the water, electricity, gas and heat is recorded as D.
Further, according to the operation steps in the second step, the collection of the air temperature is realized by intensively collecting the temperature which is higher than 26 ℃ in summer and lower than 0 ℃ in winter.
Further, according to the operation steps in the second step, the air temperature, the humidity, the rainwater and the wind speed are used as references, and the information consistency is ensured according to the acquisition time of water, electricity, gas and heat information.
Further, according to the operation steps in the third step, the information of water, electricity, gas, heat and the like and auxiliary reference information are subjected to tagging management, the tagging management adopts time as a serial number for arrangement, the auxiliary reference information is marked as L, and the auxiliary reference information L is bundled with the usage amount and the usage time of the water, electricity, gas and heat in the past year to serve as a judgment condition.
Further, according to the operation steps in step three, the time is denoted as T, and the T1/(B1/D1)/L1 is sorted.
Further, according to the operation steps in the fourth step, the auxiliary reference information L is used as a determination criterion to determine whether the reference amount of water, electricity, gas and heat in the unified time period exceeds or not.
Further, according to the operation steps in the fourth step, the user images are compared with conditions, and the T1/(B1/D1)/L1 extracts the conditions corresponding to L first, and then compares the reference quantity with B1/D1.
Further, according to the operation steps in the fifth step, when the D1 is in a time period in which the user does not use frequently, leakage or abnormality is judged, prompting and alarming are carried out through the user side and the abnormality judgment alarming module, if B1 exceeds a reference amount, abnormal use is judged, prompting is carried out through the user side, the user can extrude an alarm after confirming that no leakage exists, if no user confirmation exists within a period, enterprise terminal supply is informed through list state management, and alarming help-seeking confirmation is carried out through an emergency terminal.
The invention provides a user behavior analysis algorithm for a water, electricity, gas and heat system, which has the following beneficial effects: the water, electricity, gas and heat consumption and the service time under the corresponding environment are obtained by carrying out multi-group measurement and calculation on the average consumption and the service time of water, electricity, gas and heat under different environments, so that when a user is conveniently portrayed, the user can be used as an accurate data source to ensure the accuracy, a pen fan has larger algorithm system errors, and secondly, in the subsequent warning process, the higher measurement and calculation precision can ensure the sufficient safety and avoid the safety problem caused by the false report and the missed report.
Drawings
FIG. 1 is a flow chart of a user behavior analysis algorithm of a water, electricity, gas and heat system according to the present invention;
FIG. 2 is a system work flow chart of a user behavior analysis algorithm of the water, electricity, gas and heat system of the present invention.
Detailed Description
Referring to fig. 1-2, the present invention provides a technical solution: a user behavior analysis algorithm for a water, electricity, gas and heat system comprises the following steps: when the steelmaking is carried out, calcium silicate generated by the input limestone is collected and utilized, the reutilization efficiency of wastes can be further improved, the waste of resources is avoided, secondly, the preparation efficiency of the whole reaction can be improved by preparing a large amount of silicon powder, excessive silicon powder is added, the preparation amount can be further improved, and the problem of poor production benefit caused by insufficient yield is avoided
The method comprises the following steps: information acquisition: the method comprises the steps of collecting water, electricity, gas, heat and other information of a user, and collecting the usage amount and the usage time.
Step two: auxiliary reference information acquisition: and the auxiliary reference information is directly connected with a local meteorological office to collect temperature, humidity, rainwater and wind speed.
Step three: big data processing: the information of water, electricity, gas, heat and the like and the auxiliary reference information are subjected to labeling management to serve as reference standards.
Step four: user portrait and status list management: and (3) performing portrait modeling on the living habits of the users, and judging the actual living habits.
Step five: early warning and emergency terminal: and carrying out preliminary judgment on the generated abnormal condition, and carrying out corresponding rescue and warning measures after triggering an emergency prompt.
Specifically, according to the operation steps in the step one, the water, electricity, gas and heat information is collected into the usage amount and the usage time, wherein the usage amount and the usage time are managed by adopting a list through collected information, a usage amount line graph is respectively made, the usage time is integrated, the average usage amount per day is calculated, and the sample time of information collection is set to be one year.
Specifically, according to the operation steps in the step one, the average value of daily use of water, electricity, gas and heat is recorded as a reference amount K, the use amount of water, electricity, gas and heat is recorded as B, and the use amount and use time of water, electricity, gas and heat is recorded as D.
Specifically, according to the operation steps in the second step, the collection of the air temperature is realized by intensively collecting the temperature which is higher than 26 ℃ in summer and lower than 0 ℃ in winter.
Specifically, according to the operation steps in the second step, the air temperature, the humidity, the rainwater and the wind speed are used as references, and the information consistency is ensured according to the acquisition time of water, electricity, gas and heat information.
Specifically, according to the operation steps in the third step, tagging management is performed on the information of water, electricity, gas, heat and the like and auxiliary reference information, the tagging management is arranged by using time as a serial number, the auxiliary reference information is marked as L, and the auxiliary reference information L is bundled with the usage amount and the usage time of the water, electricity, gas and heat in the past year to serve as a judgment condition.
Specifically, according to the operation steps in step three, the times are recorded as T, and T1/(B1/D1)/L1 are sorted.
Specifically, according to the operation steps in the fourth step, the auxiliary reference information L is used as a determination criterion to determine whether the reference amount of water, electricity, gas and heat in the unified time period exceeds or not.
Specifically, according to the operation steps in the fourth step, the user images are compared with the conditions, i.e., T1/(B1/D1)/L1, the conditions corresponding to L are extracted first, and then B1/D1 are compared with the reference quantity.
Specifically, according to the operation steps in the fifth step, D1 is in a time period in which the user does not use frequently, leakage or abnormality is judged, prompting and alarming are carried out through the user side and the abnormality judgment alarming module, abnormal use is judged if B1 exceeds a reference amount, prompting is carried out through the user side, the user can extrude an alarm after confirming that no leakage exists, if no user confirmation exists within a period, enterprise terminal supply is informed through list state management, and alarming help-seeking confirmation is carried out through the emergency terminal.
The method of the examples was performed for detection analysis and compared to the prior art to yield the following data:
according to the table data, when the embodiment is used, the safety of using water, electricity, gas and heat is further improved through the user behavior analysis algorithm of the water, electricity, gas and heat system, and the accuracy of the algorithm is improved.
The invention provides a user behavior analysis algorithm for a water, electricity, gas and heat system, which comprises the following steps: the method comprises the following steps: information acquisition: collecting water, electricity, gas, heat and other information of a user, collecting the usage amount and the usage time, and collecting the water, electricity, gas and heat information into the usage amount and the usage time, wherein the usage amount and the usage time are managed by adopting a list by adopting collected information, usage amount broken line graphs are respectively made, the usage time is aggregated, the average usage amount per day is calculated, the sample time of the information collection is set to be one year, the average value of the daily usage of the water, electricity, gas and heat is recorded as a reference amount K, the reference amount K is measured and calculated for multiple times, the measurement is carried out according to the divided auxiliary reference information, the accuracy of the reference amount is ensured, the situation that the reference amount is set inaccurately due to season change is avoided, the systematic calculation error is generated in the detection process, and the structure of the algorithm has larger error, the usage amount of the water, electricity, gas and heat is recorded as B, the water, electricity, gas and heat, The usage time of gas and heat is marked as D, and the step two is as follows: auxiliary reference information acquisition: the auxiliary reference information, the local meteorological office of lug connection, gather temperature, humidity, rainwater and wind speed, the collection of temperature, concentrate the collection summer temperature and exceed 26 degrees centigrade and winter and be less than 0 degree centigrade, temperature, humidity, rainwater and wind speed, when as the reference, correspond the time of water, electricity, gas, heat information collection, guarantee the uniformity of information, through to environment to water, electricity, gas, the heat influence, judge a time quantum in, the best benchmark volume, avoid producing great calculation error, step three: big data processing: the method is characterized by preferentially performing labeling management on information such as water, electricity, gas and heat and auxiliary reference information, wherein the information such as water, electricity, gas and heat and the auxiliary reference information are used as reference standards, the labeling management is arranged by using time as a serial number, the auxiliary reference information is marked as L, the auxiliary reference information L is bundled with the use amount and the use time of the water, electricity, gas and heat in the past year and is used as a judgment condition, the time is marked as T, and T1/(B1/D1)/L1 are sequenced, so that through the labeling management, rapid data comparison and calling can be realized, the calculation amount of a system is conveniently increased, the position of covering services is ensured, and the result is obtained at the highest speed, and the fourth step: user portrait and status list management: performing portrait modeling on the living habits of the users, judging the actual living habits, taking auxiliary reference information L as a judgment standard, judging whether the reference quantities of water, electricity, gas and heat in a unified time period exceed or not, taking the user image as the comparison of conditions, extracting the conditions corresponding to L at first by T1/(B1/D1)/L1, and then performing comparison of the reference quantities on B1/D1, wherein the fifth step is that: early warning and emergency terminal: the method comprises the steps of carrying out preliminary judgment on the generated abnormal conditions, carrying out corresponding rescue and warning measures after triggering emergency prompt, judging that leakage or abnormality occurs when D1 is in a time period in which a user does not use the system frequently, prompting and alarming through a user side and an abnormality judgment alarm module, judging that the system is used abnormally if B1 exceeds a reference amount, prompting through the user side, extruding an alarm after the user confirms that no leakage exists, informing the terminal of enterprise terminal supply through list state management if no user confirms within a period, and carrying out alarm help-seeking confirmation through the emergency side.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A user behavior analysis algorithm for a water, electricity, gas and heat system is characterized by comprising the following steps:
the method comprises the following steps: information acquisition: collecting water, electricity, gas, heat and other information of a user, and collecting the use amount and the use time;
step two: auxiliary reference information acquisition: the auxiliary reference information is directly connected with a local meteorological office to collect the temperature, the humidity, the rainwater and the wind speed;
step three: big data processing: labeling management is carried out on information such as water, electricity, gas and heat and auxiliary reference information to serve as reference standards;
step four: user portrait and status list management: performing portrait modeling on the living habits of the users, and judging the actual living habits;
step five: early warning and emergency terminal: and carrying out preliminary judgment on the generated abnormal condition, and carrying out corresponding rescue and warning measures after triggering an emergency prompt.
2. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: according to the operation steps in the first step, the water, electricity, gas and heat information is collected into the usage amount and the usage time, wherein the usage amount and the usage time are managed by adopting a collected information list, a usage amount line graph is respectively made, the usage time is collected, the average daily usage amount is calculated, and the sample time for information collection is set as one year.
3. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: according to the operation steps in the first step, the average value of daily use of the water, electricity, gas and heat is recorded as a reference quantity K, the use quantity of the water, electricity, gas and heat is recorded as B, and the use time of the use quantity of the water, electricity, gas and heat is recorded as D.
4. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: according to the operation steps in the second step, the collection of the air temperature is realized by intensively collecting the temperature which is higher than 26 ℃ in summer and lower than 0 ℃ in winter.
5. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: and according to the operation steps in the second step, when the air temperature, the humidity, the rainwater and the wind speed are used as references, the information consistency is ensured according to the acquisition time of water, electricity, gas and heat information.
6. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: according to the operation steps in the third step, the information of water, electricity, gas, heat and the like and auxiliary reference information are subjected to labeling management, the labeling management adopts time as a serial number for arrangement, the auxiliary reference information is marked as L, and the auxiliary reference information L is bundled with the use amount and the use time of the water, electricity, gas and heat in the past year to serve as a judgment condition.
7. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: according to the operation steps in step three, the time is marked as T, and the T1/(B1/D1)/L1 is sorted.
8. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: and according to the operation step in the fourth step, the auxiliary reference information L is used as a judgment standard to judge whether the reference quantity of water, electricity, gas and heat in the unified time period exceeds or not.
9. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: according to the operation steps in the fourth step, the user images are compared with conditions, and the T1/(B1/D1)/L1 extracts the conditions corresponding to L first, and then compares the reference quantity with B1/D1.
10. The algorithm for analyzing the user behavior of the hydroelectric, hydronic and thermal system according to claim 1, comprising the following steps: according to the operation steps in the fifth step, D1 is in a time period that the user does not use frequently, leakage or abnormity is judged, prompting and alarming are carried out through the user side and the abnormity judgment alarming module, abnormal use is judged if B1 exceeds a reference amount, prompting is carried out through the user side, the user can extrude an alarm after confirming that no leakage exists, if no user confirmation exists within a period, the enterprise terminal is informed of supply through list state management, and alarming help-seeking confirmation is carried out through the emergency terminal.
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